{ "best_global_step": null, "best_metric": null, "best_model_checkpoint": null, "epoch": 0.875, "eval_steps": 2000, "global_step": 35000, "is_hyper_param_search": false, "is_local_process_zero": true, "is_world_process_zero": true, "log_history": [ { "epoch": 0.00025, "grad_norm": 31.5, "learning_rate": 0.0001, "loss": 7.633, "loss/crossentropy": 2.065455098450184, "loss/hidden": 3.476953125, "loss/jsd": 0.0, "loss/logits": 0.20220321230590343, "step": 10 }, { "epoch": 0.0005, "grad_norm": 35.0, "grad_norm_var": 2.6895182291666666, "learning_rate": 0.0001, "loss": 7.4618, "loss/crossentropy": 1.9399560801684856, "loss/hidden": 3.394140625, "loss/jsd": 0.0, "loss/logits": 0.19191570337861777, "step": 20 }, { "epoch": 0.00075, "grad_norm": 37.5, "grad_norm_var": 6.579622395833334, "learning_rate": 0.0001, "loss": 7.5972, "loss/crossentropy": 2.130601316690445, "loss/hidden": 3.38984375, "loss/jsd": 0.0, "loss/logits": 0.20188977513462306, "step": 30 }, { "epoch": 0.001, "grad_norm": 33.5, "grad_norm_var": 6.253125, "learning_rate": 0.0001, "loss": 7.5917, "loss/crossentropy": 2.2571407079696657, "loss/hidden": 3.422265625, "loss/jsd": 0.0, "loss/logits": 0.19847887996584176, "step": 40 }, { "epoch": 0.00125, "grad_norm": 32.25, "grad_norm_var": 2.1619140625, "learning_rate": 0.0001, "loss": 7.6054, "loss/crossentropy": 2.1717565625905992, "loss/hidden": 3.43359375, "loss/jsd": 0.0, "loss/logits": 0.20264342725276946, "step": 50 }, { "epoch": 0.0015, "grad_norm": 35.5, "grad_norm_var": 15.786393229166666, "learning_rate": 0.0001, "loss": 7.5513, "loss/crossentropy": 2.070718301087618, "loss/hidden": 3.409375, "loss/jsd": 0.0, "loss/logits": 0.19855907820165158, "step": 60 }, { "epoch": 0.00175, "grad_norm": 31.0, "grad_norm_var": 12.4625, "learning_rate": 0.0001, "loss": 7.5447, "loss/crossentropy": 2.118075390160084, "loss/hidden": 3.473828125, "loss/jsd": 0.0, "loss/logits": 0.20283062420785428, "step": 70 }, { "epoch": 0.002, "grad_norm": 32.25, "grad_norm_var": 1.2643229166666667, "learning_rate": 0.0001, "loss": 7.468, "loss/crossentropy": 2.0006178975105287, "loss/hidden": 3.350390625, "loss/jsd": 0.0, "loss/logits": 0.18958428762853147, "step": 80 }, { "epoch": 0.00225, "grad_norm": 30.625, "grad_norm_var": 3.470572916666667, "learning_rate": 0.0001, "loss": 7.5061, "loss/crossentropy": 1.9605075903236866, "loss/hidden": 3.54375, "loss/jsd": 0.0, "loss/logits": 0.20559987109154462, "step": 90 }, { "epoch": 0.0025, "grad_norm": 31.125, "grad_norm_var": 6.763541666666667, "learning_rate": 0.0001, "loss": 7.4928, "loss/crossentropy": 2.1205389350652695, "loss/hidden": 3.44140625, "loss/jsd": 0.0, "loss/logits": 0.19496036488562823, "step": 100 }, { "epoch": 0.00275, "grad_norm": 31.0, "grad_norm_var": 6.1509765625, "learning_rate": 0.0001, "loss": 7.595, "loss/crossentropy": 2.1240097641944886, "loss/hidden": 3.43671875, "loss/jsd": 0.0, "loss/logits": 0.19564666803926228, "step": 110 }, { "epoch": 0.003, "grad_norm": 31.25, "grad_norm_var": 3.348893229166667, "learning_rate": 0.0001, "loss": 7.5329, "loss/crossentropy": 2.175096944719553, "loss/hidden": 3.41796875, "loss/jsd": 0.0, "loss/logits": 0.21303062327206135, "step": 120 }, { "epoch": 0.00325, "grad_norm": 32.0, "grad_norm_var": 2.8541666666666665, "learning_rate": 0.0001, "loss": 7.5536, "loss/crossentropy": 2.1472502022981645, "loss/hidden": 3.342578125, "loss/jsd": 0.0, "loss/logits": 0.18929538186639547, "step": 130 }, { "epoch": 0.0035, "grad_norm": 29.375, "grad_norm_var": 29.683268229166668, "learning_rate": 0.0001, "loss": 7.5191, "loss/crossentropy": 2.015011890232563, "loss/hidden": 3.44296875, "loss/jsd": 0.0, "loss/logits": 0.20328481420874595, "step": 140 }, { "epoch": 0.00375, "grad_norm": 28.75, "grad_norm_var": 28.74765625, "learning_rate": 0.0001, "loss": 7.4158, "loss/crossentropy": 1.9774167470633983, "loss/hidden": 3.43515625, "loss/jsd": 0.0, "loss/logits": 0.19464388117194176, "step": 150 }, { "epoch": 0.004, "grad_norm": 30.875, "grad_norm_var": 1.3635416666666667, "learning_rate": 0.0001, "loss": 7.6354, "loss/crossentropy": 2.320629420876503, "loss/hidden": 3.418359375, "loss/jsd": 0.0, "loss/logits": 0.20745602920651435, "step": 160 }, { "epoch": 0.00425, "grad_norm": 31.5, "grad_norm_var": 1.0270182291666667, "learning_rate": 0.0001, "loss": 7.4137, "loss/crossentropy": 1.900385806709528, "loss/hidden": 3.345703125, "loss/jsd": 0.0, "loss/logits": 0.16769229620695114, "step": 170 }, { "epoch": 0.0045, "grad_norm": 31.25, "grad_norm_var": 0.9833333333333333, "learning_rate": 0.0001, "loss": 7.5763, "loss/crossentropy": 2.129625543951988, "loss/hidden": 3.5171875, "loss/jsd": 0.0, "loss/logits": 0.2102549459785223, "step": 180 }, { "epoch": 0.00475, "grad_norm": 32.25, "grad_norm_var": 3.05390625, "learning_rate": 0.0001, "loss": 7.6166, "loss/crossentropy": 2.1552532628178596, "loss/hidden": 3.469140625, "loss/jsd": 0.0, "loss/logits": 0.2250068686902523, "step": 190 }, { "epoch": 0.005, "grad_norm": 29.625, "grad_norm_var": 3.8375, "learning_rate": 0.0001, "loss": 7.5745, "loss/crossentropy": 1.9441482461988926, "loss/hidden": 3.387890625, "loss/jsd": 0.0, "loss/logits": 0.195942450594157, "step": 200 }, { "epoch": 0.00525, "grad_norm": 32.5, "grad_norm_var": 18.396875, "learning_rate": 0.0001, "loss": 7.5292, "loss/crossentropy": 1.9941987417638303, "loss/hidden": 3.394140625, "loss/jsd": 0.0, "loss/logits": 0.18264975901693106, "step": 210 }, { "epoch": 0.0055, "grad_norm": 31.75, "grad_norm_var": 20.736393229166666, "learning_rate": 0.0001, "loss": 7.4899, "loss/crossentropy": 2.0191620789468288, "loss/hidden": 3.355078125, "loss/jsd": 0.0, "loss/logits": 0.18100650198757648, "step": 220 }, { "epoch": 0.00575, "grad_norm": 30.375, "grad_norm_var": 2.342643229166667, "learning_rate": 0.0001, "loss": 7.5199, "loss/crossentropy": 2.001779730618, "loss/hidden": 3.32109375, "loss/jsd": 0.0, "loss/logits": 0.17959208656102418, "step": 230 }, { "epoch": 0.006, "grad_norm": 30.75, "grad_norm_var": 1.271875, "learning_rate": 0.0001, "loss": 7.6842, "loss/crossentropy": 2.1846971333026888, "loss/hidden": 3.397265625, "loss/jsd": 0.0, "loss/logits": 0.2059234745800495, "step": 240 }, { "epoch": 0.00625, "grad_norm": 29.5, "grad_norm_var": 5.688541666666667, "learning_rate": 0.0001, "loss": 7.5196, "loss/crossentropy": 2.174124576151371, "loss/hidden": 3.401953125, "loss/jsd": 0.0, "loss/logits": 0.20000722594559192, "step": 250 }, { "epoch": 0.0065, "grad_norm": 28.75, "grad_norm_var": 1.9572265625, "learning_rate": 0.0001, "loss": 7.3875, "loss/crossentropy": 1.9285166233778, "loss/hidden": 3.396875, "loss/jsd": 0.0, "loss/logits": 0.18449910767376423, "step": 260 }, { "epoch": 0.00675, "grad_norm": 33.5, "grad_norm_var": 2.0999348958333335, "learning_rate": 0.0001, "loss": 7.5877, "loss/crossentropy": 2.0323276594281197, "loss/hidden": 3.37890625, "loss/jsd": 0.0, "loss/logits": 0.19395631980150937, "step": 270 }, { "epoch": 0.007, "grad_norm": 30.5, "grad_norm_var": 2.15390625, "learning_rate": 0.0001, "loss": 7.5791, "loss/crossentropy": 2.126656140387058, "loss/hidden": 3.496875, "loss/jsd": 0.0, "loss/logits": 0.21661139875650406, "step": 280 }, { "epoch": 0.00725, "grad_norm": 29.5, "grad_norm_var": 3.193489583333333, "learning_rate": 0.0001, "loss": 7.5587, "loss/crossentropy": 2.200097793340683, "loss/hidden": 3.529296875, "loss/jsd": 0.0, "loss/logits": 0.21046234332025052, "step": 290 }, { "epoch": 0.0075, "grad_norm": 26.75, "grad_norm_var": 4.27265625, "learning_rate": 0.0001, "loss": 7.5404, "loss/crossentropy": 2.1184144005179406, "loss/hidden": 3.487890625, "loss/jsd": 0.0, "loss/logits": 0.20949590150266886, "step": 300 }, { "epoch": 0.00775, "grad_norm": 33.0, "grad_norm_var": 3.3643229166666666, "learning_rate": 0.0001, "loss": 7.5628, "loss/crossentropy": 1.9984030593186617, "loss/hidden": 3.453515625, "loss/jsd": 0.0, "loss/logits": 0.18789457948878407, "step": 310 }, { "epoch": 0.008, "grad_norm": 32.5, "grad_norm_var": 2.5645182291666666, "learning_rate": 0.0001, "loss": 7.5695, "loss/crossentropy": 2.143594169616699, "loss/hidden": 3.42421875, "loss/jsd": 0.0, "loss/logits": 0.19360470157116652, "step": 320 }, { "epoch": 0.00825, "grad_norm": 29.375, "grad_norm_var": 1.8749348958333334, "learning_rate": 0.0001, "loss": 7.3627, "loss/crossentropy": 2.1077703177928924, "loss/hidden": 3.373828125, "loss/jsd": 0.0, "loss/logits": 0.19771252572536469, "step": 330 }, { "epoch": 0.0085, "grad_norm": 29.75, "grad_norm_var": 1.5978515625, "learning_rate": 0.0001, "loss": 7.4192, "loss/crossentropy": 2.0583472289144993, "loss/hidden": 3.3671875, "loss/jsd": 0.0, "loss/logits": 0.20189273860305548, "step": 340 }, { "epoch": 0.00875, "grad_norm": 29.875, "grad_norm_var": 1.2872395833333334, "learning_rate": 0.0001, "loss": 7.5432, "loss/crossentropy": 2.0804511278867723, "loss/hidden": 3.38828125, "loss/jsd": 0.0, "loss/logits": 0.19735569059848784, "step": 350 }, { "epoch": 0.009, "grad_norm": 30.5, "grad_norm_var": 18.731184895833334, "learning_rate": 0.0001, "loss": 7.4948, "loss/crossentropy": 2.0466629534959795, "loss/hidden": 3.315234375, "loss/jsd": 0.0, "loss/logits": 0.18366040643304588, "step": 360 }, { "epoch": 0.00925, "grad_norm": 30.875, "grad_norm_var": 25.9916015625, "learning_rate": 0.0001, "loss": 7.5081, "loss/crossentropy": 1.9005662694573402, "loss/hidden": 3.501171875, "loss/jsd": 0.0, "loss/logits": 0.1900689721107483, "step": 370 }, { "epoch": 0.0095, "grad_norm": 28.75, "grad_norm_var": 2.451041666666667, "learning_rate": 0.0001, "loss": 7.4305, "loss/crossentropy": 2.0674299761652946, "loss/hidden": 3.517578125, "loss/jsd": 0.0, "loss/logits": 0.21062961965799332, "step": 380 }, { "epoch": 0.00975, "grad_norm": 31.25, "grad_norm_var": 5.645247395833334, "learning_rate": 0.0001, "loss": 7.5168, "loss/crossentropy": 2.0279919117689134, "loss/hidden": 3.503125, "loss/jsd": 0.0, "loss/logits": 0.20519332773983479, "step": 390 }, { "epoch": 0.01, "grad_norm": 31.125, "grad_norm_var": 5.928125, "learning_rate": 0.0001, "loss": 7.4985, "loss/crossentropy": 2.0427632443606853, "loss/hidden": 3.53125, "loss/jsd": 0.0, "loss/logits": 0.20287631042301654, "step": 400 }, { "epoch": 0.01025, "grad_norm": 38.5, "grad_norm_var": 438.43515625, "learning_rate": 0.0001, "loss": 7.5633, "loss/crossentropy": 2.199043881893158, "loss/hidden": 3.397265625, "loss/jsd": 0.0, "loss/logits": 0.21130343191325665, "step": 410 }, { "epoch": 0.0105, "grad_norm": 30.875, "grad_norm_var": 43.14140625, "learning_rate": 0.0001, "loss": 7.4835, "loss/crossentropy": 1.9102243572473525, "loss/hidden": 3.42578125, "loss/jsd": 0.0, "loss/logits": 0.1895731385797262, "step": 420 }, { "epoch": 0.01075, "grad_norm": 31.75, "grad_norm_var": 5.658268229166667, "learning_rate": 0.0001, "loss": 7.3897, "loss/crossentropy": 2.159160128980875, "loss/hidden": 3.464453125, "loss/jsd": 0.0, "loss/logits": 0.20280379485338926, "step": 430 }, { "epoch": 0.011, "grad_norm": 28.375, "grad_norm_var": 16.3375, "learning_rate": 0.0001, "loss": 7.5463, "loss/crossentropy": 2.1217672407627104, "loss/hidden": 3.545703125, "loss/jsd": 0.0, "loss/logits": 0.23856931366026402, "step": 440 }, { "epoch": 0.01125, "grad_norm": 30.5, "grad_norm_var": 17.098372395833334, "learning_rate": 0.0001, "loss": 7.5225, "loss/crossentropy": 1.969854873791337, "loss/hidden": 3.430078125, "loss/jsd": 0.0, "loss/logits": 0.19548849146813155, "step": 450 }, { "epoch": 0.0115, "grad_norm": 29.875, "grad_norm_var": 2.5677083333333335, "learning_rate": 0.0001, "loss": 7.5046, "loss/crossentropy": 2.121321603655815, "loss/hidden": 3.476171875, "loss/jsd": 0.0, "loss/logits": 0.19364523217082025, "step": 460 }, { "epoch": 0.01175, "grad_norm": 32.25, "grad_norm_var": 8.585416666666667, "learning_rate": 0.0001, "loss": 7.4558, "loss/crossentropy": 1.9360710382461548, "loss/hidden": 3.382421875, "loss/jsd": 0.0, "loss/logits": 0.1893781816586852, "step": 470 }, { "epoch": 0.012, "grad_norm": 29.875, "grad_norm_var": 3.417122395833333, "learning_rate": 0.0001, "loss": 7.531, "loss/crossentropy": 2.082458943128586, "loss/hidden": 3.471875, "loss/jsd": 0.0, "loss/logits": 0.2220946006476879, "step": 480 }, { "epoch": 0.01225, "grad_norm": 31.0, "grad_norm_var": 48.96640625, "learning_rate": 0.0001, "loss": 7.5651, "loss/crossentropy": 2.1382531195878984, "loss/hidden": 3.480078125, "loss/jsd": 0.0, "loss/logits": 0.20847559962421655, "step": 490 }, { "epoch": 0.0125, "grad_norm": 29.875, "grad_norm_var": 49.2666015625, "learning_rate": 0.0001, "loss": 7.5679, "loss/crossentropy": 2.0875915244221686, "loss/hidden": 3.33125, "loss/jsd": 0.0, "loss/logits": 0.1850985599681735, "step": 500 }, { "epoch": 0.01275, "grad_norm": 31.875, "grad_norm_var": 1.45, "learning_rate": 0.0001, "loss": 7.5263, "loss/crossentropy": 2.182442346215248, "loss/hidden": 3.446484375, "loss/jsd": 0.0, "loss/logits": 0.19555890336632728, "step": 510 }, { "epoch": 0.013, "grad_norm": 34.0, "grad_norm_var": 1.6931640625, "learning_rate": 0.0001, "loss": 7.5209, "loss/crossentropy": 1.9812136888504028, "loss/hidden": 3.4921875, "loss/jsd": 0.0, "loss/logits": 0.1965757070109248, "step": 520 }, { "epoch": 0.01325, "grad_norm": 31.0, "grad_norm_var": 2.101822916666667, "learning_rate": 0.0001, "loss": 7.6059, "loss/crossentropy": 2.0372241511940956, "loss/hidden": 3.564453125, "loss/jsd": 0.0, "loss/logits": 0.204646560549736, "step": 530 }, { "epoch": 0.0135, "grad_norm": 29.125, "grad_norm_var": 20.071875, "learning_rate": 0.0001, "loss": 7.5725, "loss/crossentropy": 2.155761349201202, "loss/hidden": 3.4125, "loss/jsd": 0.0, "loss/logits": 0.19602423422038556, "step": 540 }, { "epoch": 0.01375, "grad_norm": 29.125, "grad_norm_var": 20.506705729166665, "learning_rate": 0.0001, "loss": 7.5842, "loss/crossentropy": 1.8869566857814788, "loss/hidden": 3.437890625, "loss/jsd": 0.0, "loss/logits": 0.20957522764801978, "step": 550 }, { "epoch": 0.014, "grad_norm": 30.625, "grad_norm_var": 10.025455729166667, "learning_rate": 0.0001, "loss": 7.4975, "loss/crossentropy": 2.0370677679777147, "loss/hidden": 3.361328125, "loss/jsd": 0.0, "loss/logits": 0.19026046600192786, "step": 560 }, { "epoch": 0.01425, "grad_norm": 33.0, "grad_norm_var": 2.2270833333333333, "learning_rate": 0.0001, "loss": 7.5688, "loss/crossentropy": 2.1931444257497787, "loss/hidden": 3.415234375, "loss/jsd": 0.0, "loss/logits": 0.2036376902833581, "step": 570 }, { "epoch": 0.0145, "grad_norm": 35.0, "grad_norm_var": 3.5681640625, "learning_rate": 0.0001, "loss": 7.478, "loss/crossentropy": 2.061052493005991, "loss/hidden": 3.478125, "loss/jsd": 0.0, "loss/logits": 0.2282864760607481, "step": 580 }, { "epoch": 0.01475, "grad_norm": 32.5, "grad_norm_var": 2.8705729166666667, "learning_rate": 0.0001, "loss": 7.5957, "loss/crossentropy": 2.0078392371535303, "loss/hidden": 3.45, "loss/jsd": 0.0, "loss/logits": 0.19647251404821872, "step": 590 }, { "epoch": 0.015, "grad_norm": 30.25, "grad_norm_var": 31.449934895833334, "learning_rate": 0.0001, "loss": 7.5096, "loss/crossentropy": 2.0417068414390087, "loss/hidden": 3.423046875, "loss/jsd": 0.0, "loss/logits": 0.19782953998073935, "step": 600 }, { "epoch": 0.01525, "grad_norm": 30.5, "grad_norm_var": 26.253059895833335, "learning_rate": 0.0001, "loss": 7.5368, "loss/crossentropy": 2.1738049775362014, "loss/hidden": 3.409765625, "loss/jsd": 0.0, "loss/logits": 0.1996332859620452, "step": 610 }, { "epoch": 0.0155, "grad_norm": 30.125, "grad_norm_var": 2.334375, "learning_rate": 0.0001, "loss": 7.4868, "loss/crossentropy": 1.7587297886610032, "loss/hidden": 3.475390625, "loss/jsd": 0.0, "loss/logits": 0.18938990794122218, "step": 620 }, { "epoch": 0.01575, "grad_norm": 29.25, "grad_norm_var": 27.393684895833335, "learning_rate": 0.0001, "loss": 7.4833, "loss/crossentropy": 1.9551145888864994, "loss/hidden": 3.384375, "loss/jsd": 0.0, "loss/logits": 0.20075901364907622, "step": 630 }, { "epoch": 0.016, "grad_norm": 29.75, "grad_norm_var": 29.6947265625, "learning_rate": 0.0001, "loss": 7.4608, "loss/crossentropy": 2.128718316555023, "loss/hidden": 3.3625, "loss/jsd": 0.0, "loss/logits": 0.19077460393309592, "step": 640 }, { "epoch": 0.01625, "grad_norm": 29.75, "grad_norm_var": 27.322330729166666, "learning_rate": 0.0001, "loss": 7.6033, "loss/crossentropy": 1.9678708665072917, "loss/hidden": 3.413671875, "loss/jsd": 0.0, "loss/logits": 0.18875791020691396, "step": 650 }, { "epoch": 0.0165, "grad_norm": 30.375, "grad_norm_var": 3.129622395833333, "learning_rate": 0.0001, "loss": 7.3873, "loss/crossentropy": 1.9582339562475681, "loss/hidden": 3.34765625, "loss/jsd": 0.0, "loss/logits": 0.18309127148240806, "step": 660 }, { "epoch": 0.01675, "grad_norm": 32.75, "grad_norm_var": 2.7009765625, "learning_rate": 0.0001, "loss": 7.4913, "loss/crossentropy": 2.0773802563548087, "loss/hidden": 3.505078125, "loss/jsd": 0.0, "loss/logits": 0.20910798981785775, "step": 670 }, { "epoch": 0.017, "grad_norm": 34.0, "grad_norm_var": 3.3854166666666665, "learning_rate": 0.0001, "loss": 7.4847, "loss/crossentropy": 2.12913373708725, "loss/hidden": 3.402734375, "loss/jsd": 0.0, "loss/logits": 0.201920267008245, "step": 680 }, { "epoch": 0.01725, "grad_norm": 30.75, "grad_norm_var": 1.7176432291666666, "learning_rate": 0.0001, "loss": 7.5065, "loss/crossentropy": 1.9141538538038732, "loss/hidden": 3.44921875, "loss/jsd": 0.0, "loss/logits": 0.1841401271522045, "step": 690 }, { "epoch": 0.0175, "grad_norm": 31.0, "grad_norm_var": 1.6374348958333333, "learning_rate": 0.0001, "loss": 7.5897, "loss/crossentropy": 2.207232800126076, "loss/hidden": 3.399609375, "loss/jsd": 0.0, "loss/logits": 0.21376523859798907, "step": 700 }, { "epoch": 0.01775, "grad_norm": 32.75, "grad_norm_var": 2.3655598958333335, "learning_rate": 0.0001, "loss": 7.5075, "loss/crossentropy": 2.03845998942852, "loss/hidden": 3.41953125, "loss/jsd": 0.0, "loss/logits": 0.1920805646572262, "step": 710 }, { "epoch": 0.018, "grad_norm": 32.5, "grad_norm_var": 1.3893229166666667, "learning_rate": 0.0001, "loss": 7.4669, "loss/crossentropy": 2.054341807588935, "loss/hidden": 3.489453125, "loss/jsd": 0.0, "loss/logits": 0.19716067584231495, "step": 720 }, { "epoch": 0.01825, "grad_norm": 31.625, "grad_norm_var": 3.54140625, "learning_rate": 0.0001, "loss": 7.517, "loss/crossentropy": 2.2111608639359472, "loss/hidden": 3.409765625, "loss/jsd": 0.0, "loss/logits": 0.20262118335813284, "step": 730 }, { "epoch": 0.0185, "grad_norm": 29.125, "grad_norm_var": 4.692122395833334, "learning_rate": 0.0001, "loss": 7.4784, "loss/crossentropy": 2.0551758617162705, "loss/hidden": 3.446875, "loss/jsd": 0.0, "loss/logits": 0.20378697756677866, "step": 740 }, { "epoch": 0.01875, "grad_norm": 33.0, "grad_norm_var": 4.295572916666667, "learning_rate": 0.0001, "loss": 7.4016, "loss/crossentropy": 2.128055375814438, "loss/hidden": 3.3953125, "loss/jsd": 0.0, "loss/logits": 0.19904747987166047, "step": 750 }, { "epoch": 0.019, "grad_norm": 6106906624.0, "grad_norm_var": 2.3308942582349476e+18, "learning_rate": 0.0001, "loss": 7.4633, "loss/crossentropy": 2.248567137122154, "loss/hidden": 3.37265625, "loss/jsd": 0.0, "loss/logits": 0.19723597317934036, "step": 760 }, { "epoch": 0.01925, "grad_norm": 28.5, "grad_norm_var": 2.330894258158611e+18, "learning_rate": 0.0001, "loss": 7.4542, "loss/crossentropy": 2.132212319970131, "loss/hidden": 3.373828125, "loss/jsd": 0.0, "loss/logits": 0.18174959290772677, "step": 770 }, { "epoch": 0.0195, "grad_norm": 36.5, "grad_norm_var": 4.833333333333333, "learning_rate": 0.0001, "loss": 7.465, "loss/crossentropy": 2.046277052164078, "loss/hidden": 3.491015625, "loss/jsd": 0.0, "loss/logits": 0.21161840241402388, "step": 780 }, { "epoch": 0.01975, "grad_norm": 32.75, "grad_norm_var": 5.137434895833334, "learning_rate": 0.0001, "loss": 7.4171, "loss/crossentropy": 2.058088332414627, "loss/hidden": 3.315234375, "loss/jsd": 0.0, "loss/logits": 0.1815673651173711, "step": 790 }, { "epoch": 0.02, "grad_norm": 30.125, "grad_norm_var": 12.37265625, "learning_rate": 0.0001, "loss": 7.4153, "loss/crossentropy": 2.064726157486439, "loss/hidden": 3.515625, "loss/jsd": 0.0, "loss/logits": 0.19402222614735365, "step": 800 }, { "epoch": 0.02025, "grad_norm": 32.0, "grad_norm_var": 12.240625, "learning_rate": 0.0001, "loss": 7.3739, "loss/crossentropy": 2.0926051691174505, "loss/hidden": 3.476953125, "loss/jsd": 0.0, "loss/logits": 0.21017331834882497, "step": 810 }, { "epoch": 0.0205, "grad_norm": 31.875, "grad_norm_var": 3.6853515625, "learning_rate": 0.0001, "loss": 7.409, "loss/crossentropy": 2.016859006881714, "loss/hidden": 3.436328125, "loss/jsd": 0.0, "loss/logits": 0.20363395065069198, "step": 820 }, { "epoch": 0.02075, "grad_norm": 34.0, "grad_norm_var": 278.1108723958333, "learning_rate": 0.0001, "loss": 7.6725, "loss/crossentropy": 2.03957434669137, "loss/hidden": 3.4625, "loss/jsd": 0.0, "loss/logits": 0.19866096526384353, "step": 830 }, { "epoch": 0.021, "grad_norm": 35.75, "grad_norm_var": 281.2239583333333, "learning_rate": 0.0001, "loss": 7.4058, "loss/crossentropy": 2.1190530106425287, "loss/hidden": 3.41796875, "loss/jsd": 0.0, "loss/logits": 0.19663097113370895, "step": 840 }, { "epoch": 0.02125, "grad_norm": 32.25, "grad_norm_var": 4.044791666666667, "learning_rate": 0.0001, "loss": 7.4687, "loss/crossentropy": 2.1552326917648315, "loss/hidden": 3.41796875, "loss/jsd": 0.0, "loss/logits": 0.19604418501257898, "step": 850 }, { "epoch": 0.0215, "grad_norm": 37.25, "grad_norm_var": 2.7587362193217157e+18, "learning_rate": 0.0001, "loss": 7.5552, "loss/crossentropy": 2.1164004117250443, "loss/hidden": 3.375, "loss/jsd": 0.0, "loss/logits": 0.19724889248609542, "step": 860 }, { "epoch": 0.02175, "grad_norm": 35.25, "grad_norm_var": 2.758736219342478e+18, "learning_rate": 0.0001, "loss": 7.5021, "loss/crossentropy": 2.036998500674963, "loss/hidden": 3.298828125, "loss/jsd": 0.0, "loss/logits": 0.18320635841228067, "step": 870 }, { "epoch": 0.022, "grad_norm": 37.0, "grad_norm_var": 16.9541015625, "learning_rate": 0.0001, "loss": 7.5059, "loss/crossentropy": 1.9707016140222549, "loss/hidden": 3.36328125, "loss/jsd": 0.0, "loss/logits": 0.20436920877546072, "step": 880 }, { "epoch": 0.02225, "grad_norm": 31.375, "grad_norm_var": 30.538541666666667, "learning_rate": 0.0001, "loss": 7.4935, "loss/crossentropy": 2.206394499540329, "loss/hidden": 3.366015625, "loss/jsd": 0.0, "loss/logits": 0.20495780408382416, "step": 890 }, { "epoch": 0.0225, "grad_norm": 29.875, "grad_norm_var": 28.020833333333332, "learning_rate": 0.0001, "loss": 7.4823, "loss/crossentropy": 2.091763325035572, "loss/hidden": 3.43828125, "loss/jsd": 0.0, "loss/logits": 0.20592593550682067, "step": 900 }, { "epoch": 0.02275, "grad_norm": 31.875, "grad_norm_var": 3.5645182291666666, "learning_rate": 0.0001, "loss": 7.422, "loss/crossentropy": 1.9740761511027813, "loss/hidden": 3.494921875, "loss/jsd": 0.0, "loss/logits": 0.2015986293554306, "step": 910 }, { "epoch": 0.023, "grad_norm": 32.0, "grad_norm_var": 56.256184895833336, "learning_rate": 0.0001, "loss": 7.4528, "loss/crossentropy": 2.030415116250515, "loss/hidden": 3.205078125, "loss/jsd": 0.0, "loss/logits": 0.1614784031175077, "step": 920 }, { "epoch": 0.02325, "grad_norm": 30.0, "grad_norm_var": 57.1619140625, "learning_rate": 0.0001, "loss": 7.3713, "loss/crossentropy": 2.0250086903572084, "loss/hidden": 3.455859375, "loss/jsd": 0.0, "loss/logits": 0.19023355115205048, "step": 930 }, { "epoch": 0.0235, "grad_norm": 30.625, "grad_norm_var": 1.3830729166666667, "learning_rate": 0.0001, "loss": 7.5277, "loss/crossentropy": 2.222324788570404, "loss/hidden": 3.366796875, "loss/jsd": 0.0, "loss/logits": 0.19078677501529456, "step": 940 }, { "epoch": 0.02375, "grad_norm": 31.0, "grad_norm_var": 3.1455729166666666, "learning_rate": 0.0001, "loss": 7.5086, "loss/crossentropy": 2.1299516543745995, "loss/hidden": 3.49921875, "loss/jsd": 0.0, "loss/logits": 0.21310927756130696, "step": 950 }, { "epoch": 0.024, "grad_norm": 29.875, "grad_norm_var": 8.883072916666666, "learning_rate": 0.0001, "loss": 7.5579, "loss/crossentropy": 2.0535727672278883, "loss/hidden": 3.43828125, "loss/jsd": 0.0, "loss/logits": 0.18507701791822911, "step": 960 }, { "epoch": 0.02425, "grad_norm": 32.75, "grad_norm_var": 2.5916015625, "learning_rate": 0.0001, "loss": 7.537, "loss/crossentropy": 2.1785535484552385, "loss/hidden": 3.309765625, "loss/jsd": 0.0, "loss/logits": 0.1955953363329172, "step": 970 }, { "epoch": 0.0245, "grad_norm": 36.5, "grad_norm_var": 6.852083333333334, "learning_rate": 0.0001, "loss": 7.5091, "loss/crossentropy": 2.0967498391866686, "loss/hidden": 3.43515625, "loss/jsd": 0.0, "loss/logits": 0.2146583067253232, "step": 980 }, { "epoch": 0.02475, "grad_norm": 29.625, "grad_norm_var": 4.325455729166666, "learning_rate": 0.0001, "loss": 7.5901, "loss/crossentropy": 2.1134474128484726, "loss/hidden": 3.3953125, "loss/jsd": 0.0, "loss/logits": 0.19056662563234567, "step": 990 }, { "epoch": 0.025, "grad_norm": 42.0, "grad_norm_var": 4.1552039405313587e+18, "learning_rate": 0.0001, "loss": 7.6082, "loss/crossentropy": 2.0916516482830048, "loss/hidden": 3.46640625, "loss/jsd": 0.0, "loss/logits": 0.19376826155930757, "step": 1000 }, { "epoch": 0.02525, "grad_norm": 29.625, "grad_norm_var": 4.1552039416015355e+18, "learning_rate": 0.0001, "loss": 7.4528, "loss/crossentropy": 2.003750593960285, "loss/hidden": 3.330859375, "loss/jsd": 0.0, "loss/logits": 0.18129821103066207, "step": 1010 }, { "epoch": 0.0255, "grad_norm": 35.25, "grad_norm_var": 24.095572916666665, "learning_rate": 0.0001, "loss": 7.5395, "loss/crossentropy": 2.0453194856643675, "loss/hidden": 3.477734375, "loss/jsd": 0.0, "loss/logits": 0.199107607267797, "step": 1020 }, { "epoch": 0.02575, "grad_norm": 32.25, "grad_norm_var": 19.5259765625, "learning_rate": 0.0001, "loss": 7.31, "loss/crossentropy": 2.1016619503498077, "loss/hidden": 3.34453125, "loss/jsd": 0.0, "loss/logits": 0.184703135676682, "step": 1030 }, { "epoch": 0.026, "grad_norm": 30.75, "grad_norm_var": 1.87890625, "learning_rate": 0.0001, "loss": 7.5425, "loss/crossentropy": 2.1467826470732687, "loss/hidden": 3.432421875, "loss/jsd": 0.0, "loss/logits": 0.20074132941663264, "step": 1040 }, { "epoch": 0.02625, "grad_norm": 30.625, "grad_norm_var": 0.7452473958333333, "learning_rate": 0.0001, "loss": 7.4114, "loss/crossentropy": 2.049474111199379, "loss/hidden": 3.41796875, "loss/jsd": 0.0, "loss/logits": 0.20267941821366547, "step": 1050 }, { "epoch": 0.0265, "grad_norm": 31.75, "grad_norm_var": 3.124739583333333, "learning_rate": 0.0001, "loss": 7.4845, "loss/crossentropy": 2.036583887040615, "loss/hidden": 3.391796875, "loss/jsd": 0.0, "loss/logits": 0.1893632340244949, "step": 1060 }, { "epoch": 0.02675, "grad_norm": 40.75, "grad_norm_var": 3.405847188209664e+18, "learning_rate": 0.0001, "loss": 7.3982, "loss/crossentropy": 2.124411530792713, "loss/hidden": 3.4484375, "loss/jsd": 0.0, "loss/logits": 0.19454579129815103, "step": 1070 }, { "epoch": 0.027, "grad_norm": 28.25, "grad_norm_var": 3.4058471885941417e+18, "learning_rate": 0.0001, "loss": 7.3928, "loss/crossentropy": 2.0034691862761975, "loss/hidden": 3.503515625, "loss/jsd": 0.0, "loss/logits": 0.21349683087319135, "step": 1080 }, { "epoch": 0.02725, "grad_norm": 29.875, "grad_norm_var": 4.88515625, "learning_rate": 0.0001, "loss": 7.5095, "loss/crossentropy": 1.9183670297265052, "loss/hidden": 3.405859375, "loss/jsd": 0.0, "loss/logits": 0.19249978363513948, "step": 1090 }, { "epoch": 0.0275, "grad_norm": 30.5, "grad_norm_var": 3.2728515625, "learning_rate": 0.0001, "loss": 7.37, "loss/crossentropy": 2.145428071916103, "loss/hidden": 3.35703125, "loss/jsd": 0.0, "loss/logits": 0.19729665387421846, "step": 1100 }, { "epoch": 0.02775, "grad_norm": 31.25, "grad_norm_var": 2.34765625, "learning_rate": 0.0001, "loss": 7.4772, "loss/crossentropy": 2.10652961358428, "loss/hidden": 3.398046875, "loss/jsd": 0.0, "loss/logits": 0.19585925145074726, "step": 1110 }, { "epoch": 0.028, "grad_norm": 31.25, "grad_norm_var": 2.434477049308093e+18, "learning_rate": 0.0001, "loss": 7.4016, "loss/crossentropy": 1.9645449101924897, "loss/hidden": 3.44453125, "loss/jsd": 0.0, "loss/logits": 0.19977953620254993, "step": 1120 }, { "epoch": 0.02825, "grad_norm": 32.0, "grad_norm_var": 2.4344770492950907e+18, "learning_rate": 0.0001, "loss": 7.4453, "loss/crossentropy": 2.131172102689743, "loss/hidden": 3.383984375, "loss/jsd": 0.0, "loss/logits": 0.2083016105927527, "step": 1130 }, { "epoch": 0.0285, "grad_norm": 32.75, "grad_norm_var": 3.7080729166666666, "learning_rate": 0.0001, "loss": 7.4009, "loss/crossentropy": 2.003016713261604, "loss/hidden": 3.34453125, "loss/jsd": 0.0, "loss/logits": 0.18665643623098732, "step": 1140 }, { "epoch": 0.02875, "grad_norm": 30.875, "grad_norm_var": 1.34765625, "learning_rate": 0.0001, "loss": 7.5648, "loss/crossentropy": 2.0709651306271555, "loss/hidden": 3.45703125, "loss/jsd": 0.0, "loss/logits": 0.18793081305921078, "step": 1150 }, { "epoch": 0.029, "grad_norm": 32.25, "grad_norm_var": 2.1582682291666666, "learning_rate": 0.0001, "loss": 7.4644, "loss/crossentropy": 2.06434089243412, "loss/hidden": 3.454296875, "loss/jsd": 0.0, "loss/logits": 0.2109043262898922, "step": 1160 }, { "epoch": 0.02925, "grad_norm": 31.375, "grad_norm_var": 2.4010416666666665, "learning_rate": 0.0001, "loss": 7.4403, "loss/crossentropy": 2.0107607185840606, "loss/hidden": 3.498046875, "loss/jsd": 0.0, "loss/logits": 0.20349722560495137, "step": 1170 }, { "epoch": 0.0295, "grad_norm": 33.25, "grad_norm_var": 1.2260416666666667, "learning_rate": 0.0001, "loss": 7.4412, "loss/crossentropy": 2.096436749398708, "loss/hidden": 3.474609375, "loss/jsd": 0.0, "loss/logits": 0.20087064132094384, "step": 1180 }, { "epoch": 0.02975, "grad_norm": 29.75, "grad_norm_var": 1.8046223958333334, "learning_rate": 0.0001, "loss": 7.4458, "loss/crossentropy": 1.972258360683918, "loss/hidden": 3.583984375, "loss/jsd": 0.0, "loss/logits": 0.20998958311975002, "step": 1190 }, { "epoch": 0.03, "grad_norm": 33.75, "grad_norm_var": 3.7395833333333335, "learning_rate": 0.0001, "loss": 7.3931, "loss/crossentropy": 1.8556599006056786, "loss/hidden": 3.397265625, "loss/jsd": 0.0, "loss/logits": 0.19810242671519518, "step": 1200 }, { "epoch": 0.03025, "grad_norm": 29.0, "grad_norm_var": 9.394791666666666, "learning_rate": 0.0001, "loss": 7.5849, "loss/crossentropy": 2.0611833460628985, "loss/hidden": 3.3984375, "loss/jsd": 0.0, "loss/logits": 0.19216072149574756, "step": 1210 }, { "epoch": 0.0305, "grad_norm": 31.75, "grad_norm_var": 3.26640625, "learning_rate": 0.0001, "loss": 7.4844, "loss/crossentropy": 2.0546294137835504, "loss/hidden": 3.58828125, "loss/jsd": 0.0, "loss/logits": 0.21588555499911308, "step": 1220 }, { "epoch": 0.03075, "grad_norm": 31.625, "grad_norm_var": 2.3968098958333335, "learning_rate": 0.0001, "loss": 7.4858, "loss/crossentropy": 2.0615282475948336, "loss/hidden": 3.3671875, "loss/jsd": 0.0, "loss/logits": 0.206529095210135, "step": 1230 }, { "epoch": 0.031, "grad_norm": 32.0, "grad_norm_var": 1.6124348958333334, "learning_rate": 0.0001, "loss": 7.4647, "loss/crossentropy": 1.9786661133170127, "loss/hidden": 3.381640625, "loss/jsd": 0.0, "loss/logits": 0.17899234425276517, "step": 1240 }, { "epoch": 0.03125, "grad_norm": 5838471168.0, "grad_norm_var": 2.1304840753447437e+18, "learning_rate": 0.0001, "loss": 7.4926, "loss/crossentropy": 2.04936410933733, "loss/hidden": 3.714453125, "loss/jsd": 0.0, "loss/logits": 0.1995564555749297, "step": 1250 }, { "epoch": 0.0315, "grad_norm": 31.25, "grad_norm_var": 2.1304840747304878e+18, "learning_rate": 0.0001, "loss": 7.5078, "loss/crossentropy": 2.1189576953649523, "loss/hidden": 3.43515625, "loss/jsd": 0.0, "loss/logits": 0.19967459067702292, "step": 1260 }, { "epoch": 0.03175, "grad_norm": 30.5, "grad_norm_var": 3.178580729166667, "learning_rate": 0.0001, "loss": 7.4255, "loss/crossentropy": 2.163596141338348, "loss/hidden": 3.4546875, "loss/jsd": 0.0, "loss/logits": 0.19321363251656293, "step": 1270 }, { "epoch": 0.032, "grad_norm": 33.25, "grad_norm_var": 2.1639973958333334, "learning_rate": 0.0001, "loss": 7.4609, "loss/crossentropy": 1.9938266813755035, "loss/hidden": 3.351953125, "loss/jsd": 0.0, "loss/logits": 0.18334759529680014, "step": 1280 }, { "epoch": 0.03225, "grad_norm": 29.375, "grad_norm_var": 1.67890625, "learning_rate": 0.0001, "loss": 7.4652, "loss/crossentropy": 2.161333967000246, "loss/hidden": 3.38828125, "loss/jsd": 0.0, "loss/logits": 0.19740422032773494, "step": 1290 }, { "epoch": 0.0325, "grad_norm": 32.75, "grad_norm_var": 3.0385416666666667, "learning_rate": 0.0001, "loss": 7.3146, "loss/crossentropy": 2.0165325723588468, "loss/hidden": 3.49921875, "loss/jsd": 0.0, "loss/logits": 0.19117104820907116, "step": 1300 }, { "epoch": 0.03275, "grad_norm": 28.25, "grad_norm_var": 9.158072916666667, "learning_rate": 0.0001, "loss": 7.4955, "loss/crossentropy": 2.124955786764622, "loss/hidden": 3.491015625, "loss/jsd": 0.0, "loss/logits": 0.19802952595055104, "step": 1310 }, { "epoch": 0.033, "grad_norm": 30.75, "grad_norm_var": 2.4535807291666667, "learning_rate": 0.0001, "loss": 7.4311, "loss/crossentropy": 2.018800371140242, "loss/hidden": 3.542578125, "loss/jsd": 0.0, "loss/logits": 0.2196814114227891, "step": 1320 }, { "epoch": 0.03325, "grad_norm": 31.375, "grad_norm_var": 2.39375, "learning_rate": 0.0001, "loss": 7.5164, "loss/crossentropy": 2.0520452961325644, "loss/hidden": 3.454296875, "loss/jsd": 0.0, "loss/logits": 0.2013697015121579, "step": 1330 }, { "epoch": 0.0335, "grad_norm": 32.5, "grad_norm_var": 1.0431640625, "learning_rate": 0.0001, "loss": 7.5302, "loss/crossentropy": 2.12932348549366, "loss/hidden": 3.525, "loss/jsd": 0.0, "loss/logits": 0.20245677568018436, "step": 1340 }, { "epoch": 0.03375, "grad_norm": 30.625, "grad_norm_var": 3.3900390625, "learning_rate": 0.0001, "loss": 7.5292, "loss/crossentropy": 2.031618994474411, "loss/hidden": 3.44140625, "loss/jsd": 0.0, "loss/logits": 0.19062725063413383, "step": 1350 }, { "epoch": 0.034, "grad_norm": 32.0, "grad_norm_var": 3.3447265625, "learning_rate": 0.0001, "loss": 7.5755, "loss/crossentropy": 2.2257011234760284, "loss/hidden": 3.447265625, "loss/jsd": 0.0, "loss/logits": 0.1979327043518424, "step": 1360 }, { "epoch": 0.03425, "grad_norm": 30.625, "grad_norm_var": 3.3421223958333335, "learning_rate": 0.0001, "loss": 7.4219, "loss/crossentropy": 2.155778780579567, "loss/hidden": 3.31796875, "loss/jsd": 0.0, "loss/logits": 0.19018295016139747, "step": 1370 }, { "epoch": 0.0345, "grad_norm": 30.25, "grad_norm_var": 2.5872395833333335, "learning_rate": 0.0001, "loss": 7.4637, "loss/crossentropy": 2.058405503630638, "loss/hidden": 3.39296875, "loss/jsd": 0.0, "loss/logits": 0.2114524593576789, "step": 1380 }, { "epoch": 0.03475, "grad_norm": 32.5, "grad_norm_var": 3.2994140625, "learning_rate": 0.0001, "loss": 7.5834, "loss/crossentropy": 2.1654782712459566, "loss/hidden": 3.442578125, "loss/jsd": 0.0, "loss/logits": 0.2024593001231551, "step": 1390 }, { "epoch": 0.035, "grad_norm": 31.125, "grad_norm_var": 12.812239583333334, "learning_rate": 0.0001, "loss": 7.4442, "loss/crossentropy": 2.0921876966953277, "loss/hidden": 3.286328125, "loss/jsd": 0.0, "loss/logits": 0.19270132519304753, "step": 1400 }, { "epoch": 0.03525, "grad_norm": 29.25, "grad_norm_var": 1.5108723958333334, "learning_rate": 0.0001, "loss": 7.4779, "loss/crossentropy": 1.9434148371219635, "loss/hidden": 3.366015625, "loss/jsd": 0.0, "loss/logits": 0.17576389852911234, "step": 1410 }, { "epoch": 0.0355, "grad_norm": 30.125, "grad_norm_var": 2.154166666666667, "learning_rate": 0.0001, "loss": 7.508, "loss/crossentropy": 2.0766889482736586, "loss/hidden": 3.485546875, "loss/jsd": 0.0, "loss/logits": 0.20394362770020963, "step": 1420 }, { "epoch": 0.03575, "grad_norm": 30.125, "grad_norm_var": 17.580208333333335, "learning_rate": 0.0001, "loss": 7.4612, "loss/crossentropy": 2.00380075648427, "loss/hidden": 3.4453125, "loss/jsd": 0.0, "loss/logits": 0.18816210143268108, "step": 1430 }, { "epoch": 0.036, "grad_norm": 31.375, "grad_norm_var": 16.758268229166667, "learning_rate": 0.0001, "loss": 7.4602, "loss/crossentropy": 2.1938020154833793, "loss/hidden": 3.4234375, "loss/jsd": 0.0, "loss/logits": 0.2016971528530121, "step": 1440 }, { "epoch": 0.03625, "grad_norm": 30.875, "grad_norm_var": 1.2556640625, "learning_rate": 0.0001, "loss": 7.4245, "loss/crossentropy": 2.0232372283935547, "loss/hidden": 3.40234375, "loss/jsd": 0.0, "loss/logits": 0.19209201391786337, "step": 1450 }, { "epoch": 0.0365, "grad_norm": 31.0, "grad_norm_var": 1.4041015625, "learning_rate": 0.0001, "loss": 7.5518, "loss/crossentropy": 2.2000616788864136, "loss/hidden": 3.473046875, "loss/jsd": 0.0, "loss/logits": 0.22938326951116322, "step": 1460 }, { "epoch": 0.03675, "grad_norm": 28.375, "grad_norm_var": 2.0322916666666666, "learning_rate": 0.0001, "loss": 7.4397, "loss/crossentropy": 2.0838582158088683, "loss/hidden": 3.451953125, "loss/jsd": 0.0, "loss/logits": 0.20685861641541123, "step": 1470 }, { "epoch": 0.037, "grad_norm": 32.0, "grad_norm_var": 1.5020833333333334, "learning_rate": 0.0001, "loss": 7.4183, "loss/crossentropy": 2.149951633810997, "loss/hidden": 3.375390625, "loss/jsd": 0.0, "loss/logits": 0.1984950641170144, "step": 1480 }, { "epoch": 0.03725, "grad_norm": 33.75, "grad_norm_var": 34.10826822916667, "learning_rate": 0.0001, "loss": 7.453, "loss/crossentropy": 2.128306310623884, "loss/hidden": 3.33203125, "loss/jsd": 0.0, "loss/logits": 0.19783397912979125, "step": 1490 }, { "epoch": 0.0375, "grad_norm": 29.5, "grad_norm_var": 5.008072916666666, "learning_rate": 0.0001, "loss": 7.469, "loss/crossentropy": 2.042660539597273, "loss/hidden": 3.365234375, "loss/jsd": 0.0, "loss/logits": 0.19274956732988358, "step": 1500 }, { "epoch": 0.03775, "grad_norm": 33.0, "grad_norm_var": 19.1775390625, "learning_rate": 0.0001, "loss": 7.4119, "loss/crossentropy": 2.043857058137655, "loss/hidden": 3.376953125, "loss/jsd": 0.0, "loss/logits": 0.18266947232186795, "step": 1510 }, { "epoch": 0.038, "grad_norm": 29.625, "grad_norm_var": 14.303580729166667, "learning_rate": 0.0001, "loss": 7.4362, "loss/crossentropy": 1.9492302805185318, "loss/hidden": 3.3515625, "loss/jsd": 0.0, "loss/logits": 0.1754497304558754, "step": 1520 }, { "epoch": 0.03825, "grad_norm": 29.75, "grad_norm_var": 23.764518229166665, "learning_rate": 0.0001, "loss": 7.4444, "loss/crossentropy": 2.0668226674199106, "loss/hidden": 3.473828125, "loss/jsd": 0.0, "loss/logits": 0.1921279976144433, "step": 1530 }, { "epoch": 0.0385, "grad_norm": 32.75, "grad_norm_var": 3.2226069790467994e+18, "learning_rate": 0.0001, "loss": 7.5077, "loss/crossentropy": 2.1122784771025183, "loss/hidden": 3.46953125, "loss/jsd": 0.0, "loss/logits": 0.22245875597000123, "step": 1540 }, { "epoch": 0.03875, "grad_norm": 30.25, "grad_norm_var": 5.382291666666666, "learning_rate": 0.0001, "loss": 7.4525, "loss/crossentropy": 2.264697426557541, "loss/hidden": 3.432421875, "loss/jsd": 0.0, "loss/logits": 0.2075907403603196, "step": 1550 }, { "epoch": 0.039, "grad_norm": 30.0, "grad_norm_var": 6.353580729166667, "learning_rate": 0.0001, "loss": 7.5064, "loss/crossentropy": 2.1150408178567885, "loss/hidden": 3.5203125, "loss/jsd": 0.0, "loss/logits": 0.23207673486322164, "step": 1560 }, { "epoch": 0.03925, "grad_norm": 34.25, "grad_norm_var": 6.72265625, "learning_rate": 0.0001, "loss": 7.4578, "loss/crossentropy": 2.188142140209675, "loss/hidden": 3.445703125, "loss/jsd": 0.0, "loss/logits": 0.20429779235273599, "step": 1570 }, { "epoch": 0.0395, "grad_norm": 34.75, "grad_norm_var": 897.6666015625, "learning_rate": 0.0001, "loss": 7.434, "loss/crossentropy": 2.0795677445828913, "loss/hidden": 3.3828125, "loss/jsd": 0.0, "loss/logits": 0.18706642352044583, "step": 1580 }, { "epoch": 0.03975, "grad_norm": 28.0, "grad_norm_var": 903.6327473958333, "learning_rate": 0.0001, "loss": 7.5655, "loss/crossentropy": 2.1025844663381577, "loss/hidden": 3.469140625, "loss/jsd": 0.0, "loss/logits": 0.1966788914054632, "step": 1590 }, { "epoch": 0.04, "grad_norm": 28.625, "grad_norm_var": 11.97890625, "learning_rate": 0.0001, "loss": 7.2578, "loss/crossentropy": 2.050418493151665, "loss/hidden": 3.453125, "loss/jsd": 0.0, "loss/logits": 0.20104087069630622, "step": 1600 }, { "epoch": 0.04025, "grad_norm": 28.0, "grad_norm_var": 2.255989583333333, "learning_rate": 0.0001, "loss": 7.4393, "loss/crossentropy": 2.1767756581306457, "loss/hidden": 3.5140625, "loss/jsd": 0.0, "loss/logits": 0.2213939843699336, "step": 1610 }, { "epoch": 0.0405, "grad_norm": 29.75, "grad_norm_var": 3.80390625, "learning_rate": 0.0001, "loss": 7.5026, "loss/crossentropy": 2.126803469657898, "loss/hidden": 3.39375, "loss/jsd": 0.0, "loss/logits": 0.19106289148330688, "step": 1620 }, { "epoch": 0.04075, "grad_norm": 32.0, "grad_norm_var": 3.1249348958333334, "learning_rate": 0.0001, "loss": 7.4274, "loss/crossentropy": 2.144256164133549, "loss/hidden": 3.424609375, "loss/jsd": 0.0, "loss/logits": 0.21435861438512802, "step": 1630 }, { "epoch": 0.041, "grad_norm": 30.25, "grad_norm_var": 29.265559895833334, "learning_rate": 0.0001, "loss": 7.5728, "loss/crossentropy": 2.2575725719332693, "loss/hidden": 3.4421875, "loss/jsd": 0.0, "loss/logits": 0.20658138059079648, "step": 1640 }, { "epoch": 0.04125, "grad_norm": 30.5, "grad_norm_var": 48.35390625, "learning_rate": 0.0001, "loss": 7.5776, "loss/crossentropy": 2.096929042041302, "loss/hidden": 3.346875, "loss/jsd": 0.0, "loss/logits": 0.18803389491513373, "step": 1650 }, { "epoch": 0.0415, "grad_norm": 30.5, "grad_norm_var": 1.1010416666666667, "learning_rate": 0.0001, "loss": 7.3792, "loss/crossentropy": 2.0290944524109364, "loss/hidden": 3.313671875, "loss/jsd": 0.0, "loss/logits": 0.19023821037262678, "step": 1660 }, { "epoch": 0.04175, "grad_norm": 28.125, "grad_norm_var": 33.49270833333333, "learning_rate": 0.0001, "loss": 7.5018, "loss/crossentropy": 2.0678361281752586, "loss/hidden": 3.35234375, "loss/jsd": 0.0, "loss/logits": 0.18862500675022603, "step": 1670 }, { "epoch": 0.042, "grad_norm": 29.75, "grad_norm_var": 2.2955729166666665, "learning_rate": 0.0001, "loss": 7.4432, "loss/crossentropy": 2.0549797296524046, "loss/hidden": 3.441796875, "loss/jsd": 0.0, "loss/logits": 0.19089050237089394, "step": 1680 }, { "epoch": 0.04225, "grad_norm": 29.75, "grad_norm_var": 1.8791666666666667, "learning_rate": 0.0001, "loss": 7.3842, "loss/crossentropy": 2.0077505365014074, "loss/hidden": 3.382421875, "loss/jsd": 0.0, "loss/logits": 0.18722779098898173, "step": 1690 }, { "epoch": 0.0425, "grad_norm": 29.375, "grad_norm_var": 0.9434895833333333, "learning_rate": 0.0001, "loss": 7.4273, "loss/crossentropy": 2.071325332671404, "loss/hidden": 3.486328125, "loss/jsd": 0.0, "loss/logits": 0.20270166713744403, "step": 1700 }, { "epoch": 0.04275, "grad_norm": 38.25, "grad_norm_var": 7.669791666666667, "learning_rate": 0.0001, "loss": 7.4176, "loss/crossentropy": 2.1353142291307448, "loss/hidden": 3.453125, "loss/jsd": 0.0, "loss/logits": 0.19663168713450432, "step": 1710 }, { "epoch": 0.043, "grad_norm": 28.25, "grad_norm_var": 7.75, "learning_rate": 0.0001, "loss": 7.3818, "loss/crossentropy": 1.9995346069335938, "loss/hidden": 3.41015625, "loss/jsd": 0.0, "loss/logits": 0.18310597026720643, "step": 1720 }, { "epoch": 0.04325, "grad_norm": 29.5, "grad_norm_var": 3.7619140625, "learning_rate": 0.0001, "loss": 7.4912, "loss/crossentropy": 2.1415088951587675, "loss/hidden": 3.55078125, "loss/jsd": 0.0, "loss/logits": 0.22313783299177886, "step": 1730 }, { "epoch": 0.0435, "grad_norm": 31.625, "grad_norm_var": 3.0416666666666665, "learning_rate": 0.0001, "loss": 7.4999, "loss/crossentropy": 2.1686330527067184, "loss/hidden": 3.384765625, "loss/jsd": 0.0, "loss/logits": 0.20409150077030064, "step": 1740 }, { "epoch": 0.04375, "grad_norm": 31.375, "grad_norm_var": 2.724739583333333, "learning_rate": 0.0001, "loss": 7.438, "loss/crossentropy": 1.9411263287067413, "loss/hidden": 3.304296875, "loss/jsd": 0.0, "loss/logits": 0.17631518254056572, "step": 1750 }, { "epoch": 0.044, "grad_norm": 32.0, "grad_norm_var": 1.9145833333333333, "learning_rate": 0.0001, "loss": 7.679, "loss/crossentropy": 2.1614590853452684, "loss/hidden": 3.36015625, "loss/jsd": 0.0, "loss/logits": 0.194198589771986, "step": 1760 }, { "epoch": 0.04425, "grad_norm": 28.5, "grad_norm_var": 2.039322916666667, "learning_rate": 0.0001, "loss": 7.5095, "loss/crossentropy": 2.282147654891014, "loss/hidden": 3.359765625, "loss/jsd": 0.0, "loss/logits": 0.19978236705064772, "step": 1770 }, { "epoch": 0.0445, "grad_norm": 29.625, "grad_norm_var": 2.34140625, "learning_rate": 0.0001, "loss": 7.5296, "loss/crossentropy": 2.2078514605760575, "loss/hidden": 3.403515625, "loss/jsd": 0.0, "loss/logits": 0.19668537452816964, "step": 1780 }, { "epoch": 0.04475, "grad_norm": 30.25, "grad_norm_var": 2.70390625, "learning_rate": 0.0001, "loss": 7.5779, "loss/crossentropy": 2.1053253799676894, "loss/hidden": 3.433984375, "loss/jsd": 0.0, "loss/logits": 0.20323336366564035, "step": 1790 }, { "epoch": 0.045, "grad_norm": 28.5, "grad_norm_var": 4.8712890625, "learning_rate": 0.0001, "loss": 7.4866, "loss/crossentropy": 2.060333488881588, "loss/hidden": 3.373828125, "loss/jsd": 0.0, "loss/logits": 0.18627767637372017, "step": 1800 }, { "epoch": 0.04525, "grad_norm": 28.0, "grad_norm_var": 14.480989583333333, "learning_rate": 0.0001, "loss": 7.5225, "loss/crossentropy": 1.9755317773669958, "loss/hidden": 3.54375, "loss/jsd": 0.0, "loss/logits": 0.20334282671101392, "step": 1810 }, { "epoch": 0.0455, "grad_norm": 29.875, "grad_norm_var": 12.935872395833334, "learning_rate": 0.0001, "loss": 7.4781, "loss/crossentropy": 2.1289859026670457, "loss/hidden": 3.346484375, "loss/jsd": 0.0, "loss/logits": 0.1973018018528819, "step": 1820 }, { "epoch": 0.04575, "grad_norm": 31.75, "grad_norm_var": 2.123893229166667, "learning_rate": 0.0001, "loss": 7.3915, "loss/crossentropy": 1.9609280914068221, "loss/hidden": 3.386328125, "loss/jsd": 0.0, "loss/logits": 0.1916458262130618, "step": 1830 }, { "epoch": 0.046, "grad_norm": 32.0, "grad_norm_var": 1.6332682291666667, "learning_rate": 0.0001, "loss": 7.5095, "loss/crossentropy": 2.0019985377788543, "loss/hidden": 3.384375, "loss/jsd": 0.0, "loss/logits": 0.19768325993791222, "step": 1840 }, { "epoch": 0.04625, "grad_norm": 29.875, "grad_norm_var": 2.225455729166667, "learning_rate": 0.0001, "loss": 7.623, "loss/crossentropy": 2.0607564479112623, "loss/hidden": 3.507421875, "loss/jsd": 0.0, "loss/logits": 0.20858939345926047, "step": 1850 }, { "epoch": 0.0465, "grad_norm": 29.5, "grad_norm_var": 1.9863932291666666, "learning_rate": 0.0001, "loss": 7.3836, "loss/crossentropy": 2.132562433928251, "loss/hidden": 3.40859375, "loss/jsd": 0.0, "loss/logits": 0.1956317812204361, "step": 1860 }, { "epoch": 0.04675, "grad_norm": 36.0, "grad_norm_var": 3.2171223958333335, "learning_rate": 0.0001, "loss": 7.4803, "loss/crossentropy": 2.0316790327429772, "loss/hidden": 3.396875, "loss/jsd": 0.0, "loss/logits": 0.20630075875669718, "step": 1870 }, { "epoch": 0.047, "grad_norm": 33.25, "grad_norm_var": 16.304622395833334, "learning_rate": 0.0001, "loss": 7.576, "loss/crossentropy": 2.161964085698128, "loss/hidden": 3.513671875, "loss/jsd": 0.0, "loss/logits": 0.21842746511101724, "step": 1880 }, { "epoch": 0.04725, "grad_norm": 29.75, "grad_norm_var": 2.3541666666666665, "learning_rate": 0.0001, "loss": 7.5036, "loss/crossentropy": 1.8695943117141725, "loss/hidden": 3.453125, "loss/jsd": 0.0, "loss/logits": 0.18793469872325658, "step": 1890 }, { "epoch": 0.0475, "grad_norm": 34.25, "grad_norm_var": 2.1780598958333335, "learning_rate": 0.0001, "loss": 7.5623, "loss/crossentropy": 2.2376974314451217, "loss/hidden": 3.489453125, "loss/jsd": 0.0, "loss/logits": 0.21696731727570295, "step": 1900 }, { "epoch": 0.04775, "grad_norm": 30.75, "grad_norm_var": 14.924934895833333, "learning_rate": 0.0001, "loss": 7.388, "loss/crossentropy": 1.9403380863368511, "loss/hidden": 3.34921875, "loss/jsd": 0.0, "loss/logits": 0.18128401823341847, "step": 1910 }, { "epoch": 0.048, "grad_norm": 29.25, "grad_norm_var": 25.1916015625, "learning_rate": 0.0001, "loss": 7.4109, "loss/crossentropy": 2.1744547933340073, "loss/hidden": 3.423046875, "loss/jsd": 0.0, "loss/logits": 0.20097011709585785, "step": 1920 }, { "epoch": 0.04825, "grad_norm": 29.25, "grad_norm_var": 14.801822916666667, "learning_rate": 0.0001, "loss": 7.2893, "loss/crossentropy": 2.101319019496441, "loss/hidden": 3.44140625, "loss/jsd": 0.0, "loss/logits": 0.1921493023633957, "step": 1930 }, { "epoch": 0.0485, "grad_norm": 30.125, "grad_norm_var": 14.517708333333333, "learning_rate": 0.0001, "loss": 7.579, "loss/crossentropy": 2.057158224284649, "loss/hidden": 3.59140625, "loss/jsd": 0.0, "loss/logits": 0.21765361074358225, "step": 1940 }, { "epoch": 0.04875, "grad_norm": 29.625, "grad_norm_var": 15.790559895833333, "learning_rate": 0.0001, "loss": 7.3712, "loss/crossentropy": 1.9415803879499436, "loss/hidden": 3.3359375, "loss/jsd": 0.0, "loss/logits": 0.18346730088815094, "step": 1950 }, { "epoch": 0.049, "grad_norm": 27.625, "grad_norm_var": 9.794791666666667, "learning_rate": 0.0001, "loss": 7.4902, "loss/crossentropy": 2.035348242521286, "loss/hidden": 3.439453125, "loss/jsd": 0.0, "loss/logits": 0.20268035624176264, "step": 1960 }, { "epoch": 0.04925, "grad_norm": 35.25, "grad_norm_var": 12.768684895833333, "learning_rate": 0.0001, "loss": 7.4627, "loss/crossentropy": 2.054542076587677, "loss/hidden": 3.426171875, "loss/jsd": 0.0, "loss/logits": 0.2003987120464444, "step": 1970 }, { "epoch": 0.0495, "grad_norm": 36.0, "grad_norm_var": 12.572916666666666, "learning_rate": 0.0001, "loss": 7.353, "loss/crossentropy": 1.9634785205125809, "loss/hidden": 3.301171875, "loss/jsd": 0.0, "loss/logits": 0.17985089337453247, "step": 1980 }, { "epoch": 0.04975, "grad_norm": 36.25, "grad_norm_var": 9.2353515625, "learning_rate": 0.0001, "loss": 7.4473, "loss/crossentropy": 2.059533824026585, "loss/hidden": 3.3578125, "loss/jsd": 0.0, "loss/logits": 0.19096513148397207, "step": 1990 }, { "epoch": 0.05, "grad_norm": 29.125, "grad_norm_var": 13.320572916666666, "learning_rate": 0.0001, "loss": 7.3914, "loss/crossentropy": 2.011685383319855, "loss/hidden": 3.4421875, "loss/jsd": 0.0, "loss/logits": 0.19188414234668016, "step": 2000 }, { "epoch": 0.05025, "grad_norm": 36.25, "grad_norm_var": 14.026822916666667, "learning_rate": 0.0001, "loss": 7.4213, "loss/crossentropy": 2.309766414761543, "loss/hidden": 3.39453125, "loss/jsd": 0.0, "loss/logits": 0.20372038893401623, "step": 2010 }, { "epoch": 0.0505, "grad_norm": 29.0, "grad_norm_var": 9.237239583333333, "learning_rate": 0.0001, "loss": 7.4145, "loss/crossentropy": 2.1240487143397333, "loss/hidden": 3.447265625, "loss/jsd": 0.0, "loss/logits": 0.20137840434908866, "step": 2020 }, { "epoch": 0.05075, "grad_norm": 38.5, "grad_norm_var": 89.21432291666666, "learning_rate": 0.0001, "loss": 7.3696, "loss/crossentropy": 2.112667274475098, "loss/hidden": 3.487109375, "loss/jsd": 0.0, "loss/logits": 0.19770587887614965, "step": 2030 }, { "epoch": 0.051, "grad_norm": 27.75, "grad_norm_var": 94.06015625, "learning_rate": 0.0001, "loss": 7.2471, "loss/crossentropy": 1.9955052442848682, "loss/hidden": 3.30546875, "loss/jsd": 0.0, "loss/logits": 0.1880181163549423, "step": 2040 }, { "epoch": 0.05125, "grad_norm": 35.25, "grad_norm_var": 3.67265625, "learning_rate": 0.0001, "loss": 7.458, "loss/crossentropy": 2.1320972844958304, "loss/hidden": 3.384765625, "loss/jsd": 0.0, "loss/logits": 0.18908526431769132, "step": 2050 }, { "epoch": 0.0515, "grad_norm": 38.75, "grad_norm_var": 10.776822916666667, "learning_rate": 0.0001, "loss": 7.3769, "loss/crossentropy": 2.171598494052887, "loss/hidden": 3.29765625, "loss/jsd": 0.0, "loss/logits": 0.18929236195981503, "step": 2060 }, { "epoch": 0.05175, "grad_norm": 32.75, "grad_norm_var": 10.53515625, "learning_rate": 0.0001, "loss": 7.5279, "loss/crossentropy": 2.0172302186489106, "loss/hidden": 3.4203125, "loss/jsd": 0.0, "loss/logits": 0.2013201082125306, "step": 2070 }, { "epoch": 0.052, "grad_norm": 32.0, "grad_norm_var": 7.678125, "learning_rate": 0.0001, "loss": 7.3619, "loss/crossentropy": 1.982726515084505, "loss/hidden": 3.394921875, "loss/jsd": 0.0, "loss/logits": 0.17850281894207, "step": 2080 }, { "epoch": 0.05225, "grad_norm": 29.75, "grad_norm_var": 63.6681640625, "learning_rate": 0.0001, "loss": 7.5109, "loss/crossentropy": 2.121504098176956, "loss/hidden": 3.50703125, "loss/jsd": 0.0, "loss/logits": 0.240205854550004, "step": 2090 }, { "epoch": 0.0525, "grad_norm": 34.5, "grad_norm_var": 7.506184895833333, "learning_rate": 0.0001, "loss": 7.4658, "loss/crossentropy": 2.110687591135502, "loss/hidden": 3.530078125, "loss/jsd": 0.0, "loss/logits": 0.2039638390764594, "step": 2100 }, { "epoch": 0.05275, "grad_norm": 32.5, "grad_norm_var": 19.075455729166666, "learning_rate": 0.0001, "loss": 7.5668, "loss/crossentropy": 1.9557841390371322, "loss/hidden": 3.462109375, "loss/jsd": 0.0, "loss/logits": 0.18774209143593906, "step": 2110 }, { "epoch": 0.053, "grad_norm": 31.125, "grad_norm_var": 3.85390625, "learning_rate": 0.0001, "loss": 7.5735, "loss/crossentropy": 2.0219520531594752, "loss/hidden": 3.3796875, "loss/jsd": 0.0, "loss/logits": 0.18533632289618254, "step": 2120 }, { "epoch": 0.05325, "grad_norm": 32.25, "grad_norm_var": 3.8910807291666667, "learning_rate": 0.0001, "loss": 7.4083, "loss/crossentropy": 2.1359280541539194, "loss/hidden": 3.412890625, "loss/jsd": 0.0, "loss/logits": 0.1897095028311014, "step": 2130 }, { "epoch": 0.0535, "grad_norm": 31.25, "grad_norm_var": 2.5957682291666666, "learning_rate": 0.0001, "loss": 7.446, "loss/crossentropy": 2.170258317142725, "loss/hidden": 3.32109375, "loss/jsd": 0.0, "loss/logits": 0.1826348526403308, "step": 2140 }, { "epoch": 0.05375, "grad_norm": 31.25, "grad_norm_var": 3.785416666666667, "learning_rate": 0.0001, "loss": 7.4014, "loss/crossentropy": 2.131239393353462, "loss/hidden": 3.303515625, "loss/jsd": 0.0, "loss/logits": 0.18656531646847724, "step": 2150 }, { "epoch": 0.054, "grad_norm": 31.0, "grad_norm_var": 4.8666015625, "learning_rate": 0.0001, "loss": 7.5478, "loss/crossentropy": 2.223896725475788, "loss/hidden": 3.383203125, "loss/jsd": 0.0, "loss/logits": 0.1951376979239285, "step": 2160 }, { "epoch": 0.05425, "grad_norm": 30.375, "grad_norm_var": 8.437955729166667, "learning_rate": 0.0001, "loss": 7.5562, "loss/crossentropy": 2.1203987300395966, "loss/hidden": 3.351171875, "loss/jsd": 0.0, "loss/logits": 0.1970507999882102, "step": 2170 }, { "epoch": 0.0545, "grad_norm": 32.0, "grad_norm_var": 2.9488932291666665, "learning_rate": 0.0001, "loss": 7.5532, "loss/crossentropy": 2.080265050381422, "loss/hidden": 3.544140625, "loss/jsd": 0.0, "loss/logits": 0.2216239819303155, "step": 2180 }, { "epoch": 0.05475, "grad_norm": 31.125, "grad_norm_var": 8.1728515625, "learning_rate": 0.0001, "loss": 7.382, "loss/crossentropy": 2.2114535331726075, "loss/hidden": 3.37734375, "loss/jsd": 0.0, "loss/logits": 0.20577374435961246, "step": 2190 }, { "epoch": 0.055, "grad_norm": 28.875, "grad_norm_var": 14.520833333333334, "learning_rate": 0.0001, "loss": 7.5766, "loss/crossentropy": 2.1003271512687207, "loss/hidden": 3.358984375, "loss/jsd": 0.0, "loss/logits": 0.18811229150742292, "step": 2200 }, { "epoch": 0.05525, "grad_norm": 33.5, "grad_norm_var": 16.099739583333335, "learning_rate": 0.0001, "loss": 7.5553, "loss/crossentropy": 2.1326127350330353, "loss/hidden": 3.436328125, "loss/jsd": 0.0, "loss/logits": 0.22006579730659723, "step": 2210 }, { "epoch": 0.0555, "grad_norm": 32.25, "grad_norm_var": 9.305143229166667, "learning_rate": 0.0001, "loss": 7.3766, "loss/crossentropy": 2.1496046826243402, "loss/hidden": 3.476171875, "loss/jsd": 0.0, "loss/logits": 0.1952402491122484, "step": 2220 }, { "epoch": 0.05575, "grad_norm": 29.125, "grad_norm_var": 6.805143229166666, "learning_rate": 0.0001, "loss": 7.3648, "loss/crossentropy": 2.13938904479146, "loss/hidden": 3.36640625, "loss/jsd": 0.0, "loss/logits": 0.19394674636423587, "step": 2230 }, { "epoch": 0.056, "grad_norm": 27.625, "grad_norm_var": 15.0712890625, "learning_rate": 0.0001, "loss": 7.4292, "loss/crossentropy": 2.0648645758628845, "loss/hidden": 3.436328125, "loss/jsd": 0.0, "loss/logits": 0.18520106598734856, "step": 2240 }, { "epoch": 0.05625, "grad_norm": 29.25, "grad_norm_var": 12.034309895833333, "learning_rate": 0.0001, "loss": 7.4469, "loss/crossentropy": 2.080448921024799, "loss/hidden": 3.3109375, "loss/jsd": 0.0, "loss/logits": 0.18507405128329993, "step": 2250 }, { "epoch": 0.0565, "grad_norm": 31.375, "grad_norm_var": 2.014518229166667, "learning_rate": 0.0001, "loss": 7.4325, "loss/crossentropy": 2.0871294140815735, "loss/hidden": 3.409375, "loss/jsd": 0.0, "loss/logits": 0.20059894528239966, "step": 2260 }, { "epoch": 0.05675, "grad_norm": 28.75, "grad_norm_var": 1.8103515625, "learning_rate": 0.0001, "loss": 7.4268, "loss/crossentropy": 2.010594163835049, "loss/hidden": 3.39453125, "loss/jsd": 0.0, "loss/logits": 0.19413960948586464, "step": 2270 }, { "epoch": 0.057, "grad_norm": 32.5, "grad_norm_var": 4.0369140625, "learning_rate": 0.0001, "loss": 7.4346, "loss/crossentropy": 2.1129174560308455, "loss/hidden": 3.416015625, "loss/jsd": 0.0, "loss/logits": 0.1961110396310687, "step": 2280 }, { "epoch": 0.05725, "grad_norm": 39.0, "grad_norm_var": 30.42265625, "learning_rate": 0.0001, "loss": 7.4422, "loss/crossentropy": 2.002947611361742, "loss/hidden": 3.432421875, "loss/jsd": 0.0, "loss/logits": 0.2081361676566303, "step": 2290 }, { "epoch": 0.0575, "grad_norm": 37.25, "grad_norm_var": 25.699934895833334, "learning_rate": 0.0001, "loss": 7.4312, "loss/crossentropy": 2.06134437918663, "loss/hidden": 3.376171875, "loss/jsd": 0.0, "loss/logits": 0.18918452728539706, "step": 2300 }, { "epoch": 0.05775, "grad_norm": 28.875, "grad_norm_var": 9.115559895833334, "learning_rate": 0.0001, "loss": 7.4209, "loss/crossentropy": 2.041922479122877, "loss/hidden": 3.403515625, "loss/jsd": 0.0, "loss/logits": 0.20907302405685185, "step": 2310 }, { "epoch": 0.058, "grad_norm": 30.125, "grad_norm_var": 22.248372395833332, "learning_rate": 0.0001, "loss": 7.6844, "loss/crossentropy": 2.0152460247278214, "loss/hidden": 3.426171875, "loss/jsd": 0.0, "loss/logits": 0.1905667196959257, "step": 2320 }, { "epoch": 0.05825, "grad_norm": 38.25, "grad_norm_var": 31.398893229166667, "learning_rate": 0.0001, "loss": 7.4713, "loss/crossentropy": 2.105386929959059, "loss/hidden": 3.452734375, "loss/jsd": 0.0, "loss/logits": 0.1982942834496498, "step": 2330 }, { "epoch": 0.0585, "grad_norm": 28.375, "grad_norm_var": 54.94264322916667, "learning_rate": 0.0001, "loss": 7.4575, "loss/crossentropy": 2.2358868844807147, "loss/hidden": 3.419921875, "loss/jsd": 0.0, "loss/logits": 0.19232469592243434, "step": 2340 }, { "epoch": 0.05875, "grad_norm": 33.5, "grad_norm_var": 165.74583333333334, "learning_rate": 0.0001, "loss": 7.2987, "loss/crossentropy": 1.9657546751201154, "loss/hidden": 3.3921875, "loss/jsd": 0.0, "loss/logits": 0.18062973748892547, "step": 2350 }, { "epoch": 0.059, "grad_norm": 41.0, "grad_norm_var": 15.376822916666667, "learning_rate": 0.0001, "loss": 7.4431, "loss/crossentropy": 2.191007924079895, "loss/hidden": 3.3609375, "loss/jsd": 0.0, "loss/logits": 0.2068317520432174, "step": 2360 }, { "epoch": 0.05925, "grad_norm": 30.625, "grad_norm_var": 12.109375, "learning_rate": 0.0001, "loss": 7.3325, "loss/crossentropy": 2.0140789330005644, "loss/hidden": 3.4109375, "loss/jsd": 0.0, "loss/logits": 0.18166892379522323, "step": 2370 }, { "epoch": 0.0595, "grad_norm": 31.875, "grad_norm_var": 6.941666666666666, "learning_rate": 0.0001, "loss": 7.4039, "loss/crossentropy": 2.0221361994743345, "loss/hidden": 3.401953125, "loss/jsd": 0.0, "loss/logits": 0.1934544663876295, "step": 2380 }, { "epoch": 0.05975, "grad_norm": 30.125, "grad_norm_var": 10.472330729166666, "learning_rate": 0.0001, "loss": 7.5862, "loss/crossentropy": 1.9840030640363693, "loss/hidden": 3.46640625, "loss/jsd": 0.0, "loss/logits": 0.19178631734102963, "step": 2390 }, { "epoch": 0.06, "grad_norm": 29.875, "grad_norm_var": 14.10625, "learning_rate": 0.0001, "loss": 7.4826, "loss/crossentropy": 2.1700179904699324, "loss/hidden": 3.408984375, "loss/jsd": 0.0, "loss/logits": 0.1915024297311902, "step": 2400 }, { "epoch": 0.06025, "grad_norm": 32.75, "grad_norm_var": 7.370768229166667, "learning_rate": 0.0001, "loss": 7.3889, "loss/crossentropy": 2.091843403875828, "loss/hidden": 3.358203125, "loss/jsd": 0.0, "loss/logits": 0.18695627991110086, "step": 2410 }, { "epoch": 0.0605, "grad_norm": 29.0, "grad_norm_var": 9.922330729166667, "learning_rate": 0.0001, "loss": 7.4655, "loss/crossentropy": 2.172381104528904, "loss/hidden": 3.380078125, "loss/jsd": 0.0, "loss/logits": 0.20078962799161673, "step": 2420 }, { "epoch": 0.06075, "grad_norm": 34.25, "grad_norm_var": 8.637239583333333, "learning_rate": 0.0001, "loss": 7.519, "loss/crossentropy": 1.995463601499796, "loss/hidden": 3.411328125, "loss/jsd": 0.0, "loss/logits": 0.1993358489125967, "step": 2430 }, { "epoch": 0.061, "grad_norm": 31.25, "grad_norm_var": 11.9431640625, "learning_rate": 0.0001, "loss": 7.5169, "loss/crossentropy": 2.296917426586151, "loss/hidden": 3.513671875, "loss/jsd": 0.0, "loss/logits": 0.23228074796497822, "step": 2440 }, { "epoch": 0.06125, "grad_norm": 30.25, "grad_norm_var": 3.4368798046573737e+18, "learning_rate": 0.0001, "loss": 7.5038, "loss/crossentropy": 2.1944432735443113, "loss/hidden": 3.3921875, "loss/jsd": 0.0, "loss/logits": 0.21073084995150565, "step": 2450 }, { "epoch": 0.0615, "grad_norm": 33.5, "grad_norm_var": 3.436879805205814e+18, "learning_rate": 0.0001, "loss": 7.4423, "loss/crossentropy": 2.152103579044342, "loss/hidden": 3.512109375, "loss/jsd": 0.0, "loss/logits": 0.20929353777319193, "step": 2460 }, { "epoch": 0.06175, "grad_norm": 39.0, "grad_norm_var": 2.2045823633093297e+18, "learning_rate": 0.0001, "loss": 7.4382, "loss/crossentropy": 2.017627691477537, "loss/hidden": 3.355078125, "loss/jsd": 0.0, "loss/logits": 0.19590776292607187, "step": 2470 }, { "epoch": 0.062, "grad_norm": 29.375, "grad_norm_var": 2.2045823636681523e+18, "learning_rate": 0.0001, "loss": 7.4072, "loss/crossentropy": 2.1076912328600885, "loss/hidden": 3.433203125, "loss/jsd": 0.0, "loss/logits": 0.1988623272627592, "step": 2480 }, { "epoch": 0.06225, "grad_norm": 30.125, "grad_norm_var": 3.2494140625, "learning_rate": 0.0001, "loss": 7.3192, "loss/crossentropy": 1.9777067750692368, "loss/hidden": 3.429296875, "loss/jsd": 0.0, "loss/logits": 0.20539684109389783, "step": 2490 }, { "epoch": 0.0625, "grad_norm": 29.125, "grad_norm_var": 5.580208333333333, "learning_rate": 0.0001, "loss": 7.3283, "loss/crossentropy": 2.061080713570118, "loss/hidden": 3.4953125, "loss/jsd": 0.0, "loss/logits": 0.20077812522649766, "step": 2500 }, { "epoch": 0.06275, "grad_norm": 28.375, "grad_norm_var": 5.618489583333333, "learning_rate": 0.0001, "loss": 7.4401, "loss/crossentropy": 2.2099071338772776, "loss/hidden": 3.411328125, "loss/jsd": 0.0, "loss/logits": 0.2055276283994317, "step": 2510 }, { "epoch": 0.063, "grad_norm": 28.125, "grad_norm_var": 7.118684895833334, "learning_rate": 0.0001, "loss": 7.3509, "loss/crossentropy": 1.962952435016632, "loss/hidden": 3.421484375, "loss/jsd": 0.0, "loss/logits": 0.19731322024017572, "step": 2520 }, { "epoch": 0.06325, "grad_norm": 31.375, "grad_norm_var": 1.9681640625, "learning_rate": 0.0001, "loss": 7.3695, "loss/crossentropy": 1.9843583509325982, "loss/hidden": 3.4921875, "loss/jsd": 0.0, "loss/logits": 0.2062232268974185, "step": 2530 }, { "epoch": 0.0635, "grad_norm": 31.5, "grad_norm_var": 3.7988932291666666, "learning_rate": 0.0001, "loss": 7.4485, "loss/crossentropy": 2.1427679538726805, "loss/hidden": 3.38125, "loss/jsd": 0.0, "loss/logits": 0.2011977185495198, "step": 2540 }, { "epoch": 0.06375, "grad_norm": 30.0, "grad_norm_var": 2.5885416666666665, "learning_rate": 0.0001, "loss": 7.4157, "loss/crossentropy": 1.9085583783686162, "loss/hidden": 3.325, "loss/jsd": 0.0, "loss/logits": 0.17416954301297666, "step": 2550 }, { "epoch": 0.064, "grad_norm": 31.25, "grad_norm_var": 1.21015625, "learning_rate": 0.0001, "loss": 7.5141, "loss/crossentropy": 1.9622327491641045, "loss/hidden": 3.361328125, "loss/jsd": 0.0, "loss/logits": 0.18756412472575903, "step": 2560 }, { "epoch": 0.06425, "grad_norm": 30.0, "grad_norm_var": 1.7143229166666667, "learning_rate": 0.0001, "loss": 7.4624, "loss/crossentropy": 2.192887546122074, "loss/hidden": 3.4296875, "loss/jsd": 0.0, "loss/logits": 0.1984951412305236, "step": 2570 }, { "epoch": 0.0645, "grad_norm": 30.125, "grad_norm_var": 1.9143229166666667, "learning_rate": 0.0001, "loss": 7.3947, "loss/crossentropy": 2.102549520134926, "loss/hidden": 3.463671875, "loss/jsd": 0.0, "loss/logits": 0.1989850653335452, "step": 2580 }, { "epoch": 0.06475, "grad_norm": 32.25, "grad_norm_var": 9.5322265625, "learning_rate": 0.0001, "loss": 7.5147, "loss/crossentropy": 2.213281115144491, "loss/hidden": 3.405859375, "loss/jsd": 0.0, "loss/logits": 0.2027151037938893, "step": 2590 }, { "epoch": 0.065, "grad_norm": 30.625, "grad_norm_var": 2.3427083333333334, "learning_rate": 0.0001, "loss": 7.4691, "loss/crossentropy": 2.1138279482722284, "loss/hidden": 3.379296875, "loss/jsd": 0.0, "loss/logits": 0.20825629755854608, "step": 2600 }, { "epoch": 0.06525, "grad_norm": 36.0, "grad_norm_var": 3.3395182291666665, "learning_rate": 0.0001, "loss": 7.4775, "loss/crossentropy": 2.107349547743797, "loss/hidden": 3.404296875, "loss/jsd": 0.0, "loss/logits": 0.19337845854461194, "step": 2610 }, { "epoch": 0.0655, "grad_norm": 29.25, "grad_norm_var": 12.757291666666667, "learning_rate": 0.0001, "loss": 7.5438, "loss/crossentropy": 2.0628502368927, "loss/hidden": 3.4984375, "loss/jsd": 0.0, "loss/logits": 0.20967572089284658, "step": 2620 }, { "epoch": 0.06575, "grad_norm": 28.625, "grad_norm_var": 11.805208333333333, "learning_rate": 0.0001, "loss": 7.3354, "loss/crossentropy": 2.1009589530527593, "loss/hidden": 3.33828125, "loss/jsd": 0.0, "loss/logits": 0.18132725274190306, "step": 2630 }, { "epoch": 0.066, "grad_norm": 32.5, "grad_norm_var": 2.730208333333333, "learning_rate": 0.0001, "loss": 7.4257, "loss/crossentropy": 1.983342681080103, "loss/hidden": 3.480078125, "loss/jsd": 0.0, "loss/logits": 0.19340286049991845, "step": 2640 }, { "epoch": 0.06625, "grad_norm": 30.25, "grad_norm_var": 3.7549465282226944e+18, "learning_rate": 0.0001, "loss": 7.309, "loss/crossentropy": 2.0057250812649725, "loss/hidden": 3.418359375, "loss/jsd": 0.0, "loss/logits": 0.18936716187745334, "step": 2650 }, { "epoch": 0.0665, "grad_norm": 36.25, "grad_norm_var": 8.832747395833334, "learning_rate": 0.0001, "loss": 7.5442, "loss/crossentropy": 2.054753464460373, "loss/hidden": 3.410546875, "loss/jsd": 0.0, "loss/logits": 0.2035602940246463, "step": 2660 }, { "epoch": 0.06675, "grad_norm": 32.5, "grad_norm_var": 4.8900390625, "learning_rate": 0.0001, "loss": 7.4106, "loss/crossentropy": 2.0181221179664135, "loss/hidden": 3.3859375, "loss/jsd": 0.0, "loss/logits": 0.1878144398331642, "step": 2670 }, { "epoch": 0.067, "grad_norm": 30.125, "grad_norm_var": 4.280989583333334, "learning_rate": 0.0001, "loss": 7.4597, "loss/crossentropy": 2.200540581345558, "loss/hidden": 3.4046875, "loss/jsd": 0.0, "loss/logits": 0.20286752395331858, "step": 2680 }, { "epoch": 0.06725, "grad_norm": 31.75, "grad_norm_var": 3.8559895833333333, "learning_rate": 0.0001, "loss": 7.4643, "loss/crossentropy": 2.0630861818790436, "loss/hidden": 3.419921875, "loss/jsd": 0.0, "loss/logits": 0.20401672925800085, "step": 2690 }, { "epoch": 0.0675, "grad_norm": 33.0, "grad_norm_var": 7.073958333333334, "learning_rate": 0.0001, "loss": 7.4001, "loss/crossentropy": 1.927167509496212, "loss/hidden": 3.31328125, "loss/jsd": 0.0, "loss/logits": 0.17901942003518342, "step": 2700 }, { "epoch": 0.06775, "grad_norm": 30.25, "grad_norm_var": 8.9009765625, "learning_rate": 0.0001, "loss": 7.3461, "loss/crossentropy": 2.0538916781544687, "loss/hidden": 3.35234375, "loss/jsd": 0.0, "loss/logits": 0.1864149821922183, "step": 2710 }, { "epoch": 0.068, "grad_norm": 29.5, "grad_norm_var": 2.218489583333333, "learning_rate": 0.0001, "loss": 7.526, "loss/crossentropy": 2.211588367819786, "loss/hidden": 3.487890625, "loss/jsd": 0.0, "loss/logits": 0.20801848396658898, "step": 2720 }, { "epoch": 0.06825, "grad_norm": 31.375, "grad_norm_var": 1.0768229166666667, "learning_rate": 0.0001, "loss": 7.5535, "loss/crossentropy": 2.268890543282032, "loss/hidden": 3.39921875, "loss/jsd": 0.0, "loss/logits": 0.21352684032171965, "step": 2730 }, { "epoch": 0.0685, "grad_norm": 33.25, "grad_norm_var": 5.663997395833333, "learning_rate": 0.0001, "loss": 7.411, "loss/crossentropy": 1.902898482978344, "loss/hidden": 3.423046875, "loss/jsd": 0.0, "loss/logits": 0.1794701736420393, "step": 2740 }, { "epoch": 0.06875, "grad_norm": 32.25, "grad_norm_var": 6.167708333333334, "learning_rate": 0.0001, "loss": 7.3718, "loss/crossentropy": 1.9450767874717712, "loss/hidden": 3.453515625, "loss/jsd": 0.0, "loss/logits": 0.18759301900863648, "step": 2750 }, { "epoch": 0.069, "grad_norm": 31.125, "grad_norm_var": 31.185872395833332, "learning_rate": 0.0001, "loss": 7.4359, "loss/crossentropy": 2.0783849939703942, "loss/hidden": 3.334375, "loss/jsd": 0.0, "loss/logits": 0.18503105416893958, "step": 2760 }, { "epoch": 0.06925, "grad_norm": 36.5, "grad_norm_var": 35.412434895833336, "learning_rate": 0.0001, "loss": 7.5806, "loss/crossentropy": 2.2374701410532, "loss/hidden": 3.378125, "loss/jsd": 0.0, "loss/logits": 0.19615829903632404, "step": 2770 }, { "epoch": 0.0695, "grad_norm": 30.25, "grad_norm_var": 19.787239583333335, "learning_rate": 0.0001, "loss": 7.3197, "loss/crossentropy": 1.8297001466155052, "loss/hidden": 3.3171875, "loss/jsd": 0.0, "loss/logits": 0.16481583826243879, "step": 2780 }, { "epoch": 0.06975, "grad_norm": 428.0, "grad_norm_var": 9873.31640625, "learning_rate": 0.0001, "loss": 7.5313, "loss/crossentropy": 2.249661484360695, "loss/hidden": 3.392578125, "loss/jsd": 0.0, "loss/logits": 0.2018596636131406, "step": 2790 }, { "epoch": 0.07, "grad_norm": 31.0, "grad_norm_var": 9755.6625, "learning_rate": 0.0001, "loss": 7.3957, "loss/crossentropy": 1.9368772380053998, "loss/hidden": 3.48203125, "loss/jsd": 0.0, "loss/logits": 0.18386599626392125, "step": 2800 }, { "epoch": 0.07025, "grad_norm": 30.75, "grad_norm_var": 1.8317057291666667, "learning_rate": 0.0001, "loss": 7.4372, "loss/crossentropy": 1.98307463824749, "loss/hidden": 3.464453125, "loss/jsd": 0.0, "loss/logits": 0.19818334747105837, "step": 2810 }, { "epoch": 0.0705, "grad_norm": 29.375, "grad_norm_var": 2.589583333333333, "learning_rate": 0.0001, "loss": 7.5014, "loss/crossentropy": 2.1463105253875256, "loss/hidden": 3.5046875, "loss/jsd": 0.0, "loss/logits": 0.20105676222592592, "step": 2820 }, { "epoch": 0.07075, "grad_norm": 60.5, "grad_norm_var": 178.2556640625, "learning_rate": 0.0001, "loss": 7.4527, "loss/crossentropy": 2.0776613369584083, "loss/hidden": 3.420703125, "loss/jsd": 0.0, "loss/logits": 0.19452448841184378, "step": 2830 }, { "epoch": 0.071, "grad_norm": 29.25, "grad_norm_var": 172.31451822916668, "learning_rate": 0.0001, "loss": 7.4802, "loss/crossentropy": 2.1200039610266685, "loss/hidden": 3.417578125, "loss/jsd": 0.0, "loss/logits": 0.19831879772245883, "step": 2840 }, { "epoch": 0.07125, "grad_norm": 69.0, "grad_norm_var": 117.23098958333334, "learning_rate": 0.0001, "loss": 7.434, "loss/crossentropy": 2.024143140017986, "loss/hidden": 3.348828125, "loss/jsd": 0.0, "loss/logits": 0.1836528332903981, "step": 2850 }, { "epoch": 0.0715, "grad_norm": 31.375, "grad_norm_var": 92.53723958333333, "learning_rate": 0.0001, "loss": 7.4934, "loss/crossentropy": 2.2765417456626893, "loss/hidden": 3.446484375, "loss/jsd": 0.0, "loss/logits": 0.20736196860671044, "step": 2860 }, { "epoch": 0.07175, "grad_norm": 31.625, "grad_norm_var": 7.986393229166667, "learning_rate": 0.0001, "loss": 7.4826, "loss/crossentropy": 2.269197002053261, "loss/hidden": 3.404296875, "loss/jsd": 0.0, "loss/logits": 0.19869209118187428, "step": 2870 }, { "epoch": 0.072, "grad_norm": 31.25, "grad_norm_var": 3.1806640625, "learning_rate": 0.0001, "loss": 7.4018, "loss/crossentropy": 2.2985214799642564, "loss/hidden": 3.390234375, "loss/jsd": 0.0, "loss/logits": 0.20524807646870613, "step": 2880 }, { "epoch": 0.07225, "grad_norm": 30.875, "grad_norm_var": 4.801822916666667, "learning_rate": 0.0001, "loss": 7.5148, "loss/crossentropy": 2.2387808740139006, "loss/hidden": 3.46015625, "loss/jsd": 0.0, "loss/logits": 0.19951685946434736, "step": 2890 }, { "epoch": 0.0725, "grad_norm": 28.875, "grad_norm_var": 13.836458333333333, "learning_rate": 0.0001, "loss": 7.5232, "loss/crossentropy": 2.049694790691137, "loss/hidden": 3.410546875, "loss/jsd": 0.0, "loss/logits": 0.19052465092390775, "step": 2900 }, { "epoch": 0.07275, "grad_norm": 29.625, "grad_norm_var": 17.91640625, "learning_rate": 0.0001, "loss": 7.3227, "loss/crossentropy": 2.0360258772969244, "loss/hidden": 3.40546875, "loss/jsd": 0.0, "loss/logits": 0.18495636582374572, "step": 2910 }, { "epoch": 0.073, "grad_norm": 32.0, "grad_norm_var": 1.8926377214767268e+18, "learning_rate": 0.0001, "loss": 7.4512, "loss/crossentropy": 2.13848315179348, "loss/hidden": 3.3859375, "loss/jsd": 0.0, "loss/logits": 0.18625867497175932, "step": 2920 }, { "epoch": 0.07325, "grad_norm": 29.875, "grad_norm_var": 1.8926377199175642e+18, "learning_rate": 0.0001, "loss": 7.5038, "loss/crossentropy": 2.166595605015755, "loss/hidden": 3.49375, "loss/jsd": 0.0, "loss/logits": 0.20948194600641729, "step": 2930 }, { "epoch": 0.0735, "grad_norm": 28.5, "grad_norm_var": 73.08020833333333, "learning_rate": 0.0001, "loss": 7.374, "loss/crossentropy": 1.9849643550813199, "loss/hidden": 3.301171875, "loss/jsd": 0.0, "loss/logits": 0.18302082028239966, "step": 2940 }, { "epoch": 0.07375, "grad_norm": 29.125, "grad_norm_var": 24.825, "learning_rate": 0.0001, "loss": 7.3651, "loss/crossentropy": 2.057874396443367, "loss/hidden": 3.3609375, "loss/jsd": 0.0, "loss/logits": 0.1866615541279316, "step": 2950 }, { "epoch": 0.074, "grad_norm": 30.625, "grad_norm_var": 883.6354166666666, "learning_rate": 0.0001, "loss": 7.5415, "loss/crossentropy": 2.1631729155778885, "loss/hidden": 3.388671875, "loss/jsd": 0.0, "loss/logits": 0.20762786027044058, "step": 2960 }, { "epoch": 0.07425, "grad_norm": 32.75, "grad_norm_var": 887.2705729166667, "learning_rate": 0.0001, "loss": 7.4471, "loss/crossentropy": 1.9493468508124352, "loss/hidden": 3.3578125, "loss/jsd": 0.0, "loss/logits": 0.1884406829252839, "step": 2970 }, { "epoch": 0.0745, "grad_norm": 28.875, "grad_norm_var": 5.070768229166666, "learning_rate": 0.0001, "loss": 7.605, "loss/crossentropy": 2.122344336658716, "loss/hidden": 3.460546875, "loss/jsd": 0.0, "loss/logits": 0.21057356838136912, "step": 2980 }, { "epoch": 0.07475, "grad_norm": 37.0, "grad_norm_var": 21.535416666666666, "learning_rate": 0.0001, "loss": 7.469, "loss/crossentropy": 2.008989527821541, "loss/hidden": 3.54140625, "loss/jsd": 0.0, "loss/logits": 0.2172183733433485, "step": 2990 }, { "epoch": 0.075, "grad_norm": 29.375, "grad_norm_var": 18.198958333333334, "learning_rate": 0.0001, "loss": 7.3932, "loss/crossentropy": 2.1922819674015046, "loss/hidden": 3.453515625, "loss/jsd": 0.0, "loss/logits": 0.20425879992544652, "step": 3000 }, { "epoch": 0.07525, "grad_norm": 29.5, "grad_norm_var": 2.668684895833333, "learning_rate": 0.0001, "loss": 7.3505, "loss/crossentropy": 2.189265179634094, "loss/hidden": 3.34609375, "loss/jsd": 0.0, "loss/logits": 0.20808048862963915, "step": 3010 }, { "epoch": 0.0755, "grad_norm": 30.75, "grad_norm_var": 14.20625, "learning_rate": 0.0001, "loss": 7.5013, "loss/crossentropy": 2.0573098927736284, "loss/hidden": 3.3515625, "loss/jsd": 0.0, "loss/logits": 0.18116160985082388, "step": 3020 }, { "epoch": 0.07575, "grad_norm": 31.375, "grad_norm_var": 16.983333333333334, "learning_rate": 0.0001, "loss": 7.4455, "loss/crossentropy": 1.9735823571681976, "loss/hidden": 3.459765625, "loss/jsd": 0.0, "loss/logits": 0.19495000168681145, "step": 3030 }, { "epoch": 0.076, "grad_norm": 7247757312.0, "grad_norm_var": 3.2831240991582193e+18, "learning_rate": 0.0001, "loss": 7.4881, "loss/crossentropy": 1.971890377253294, "loss/hidden": 3.40625, "loss/jsd": 0.0, "loss/logits": 0.18015608433634042, "step": 3040 }, { "epoch": 0.07625, "grad_norm": 28.25, "grad_norm_var": 3.283124098780732e+18, "learning_rate": 0.0001, "loss": 7.3664, "loss/crossentropy": 1.8378953270614147, "loss/hidden": 3.3609375, "loss/jsd": 0.0, "loss/logits": 0.1741427879780531, "step": 3050 }, { "epoch": 0.0765, "grad_norm": 31.75, "grad_norm_var": 1.89140625, "learning_rate": 0.0001, "loss": 7.5137, "loss/crossentropy": 2.141886255145073, "loss/hidden": 3.443359375, "loss/jsd": 0.0, "loss/logits": 0.19584037065505983, "step": 3060 }, { "epoch": 0.07675, "grad_norm": 27.25, "grad_norm_var": 2.4244140625, "learning_rate": 0.0001, "loss": 7.4296, "loss/crossentropy": 2.0373554110527037, "loss/hidden": 3.5640625, "loss/jsd": 0.0, "loss/logits": 0.216986732929945, "step": 3070 }, { "epoch": 0.077, "grad_norm": 35.25, "grad_norm_var": 3.7322265625, "learning_rate": 0.0001, "loss": 7.5269, "loss/crossentropy": 1.975497831404209, "loss/hidden": 3.333984375, "loss/jsd": 0.0, "loss/logits": 0.1780722170136869, "step": 3080 }, { "epoch": 0.07725, "grad_norm": 32.75, "grad_norm_var": 3.6895182291666666, "learning_rate": 0.0001, "loss": 7.4938, "loss/crossentropy": 2.151789793372154, "loss/hidden": 3.502734375, "loss/jsd": 0.0, "loss/logits": 0.21854450944811105, "step": 3090 }, { "epoch": 0.0775, "grad_norm": 29.5, "grad_norm_var": 6.82265625, "learning_rate": 0.0001, "loss": 7.4321, "loss/crossentropy": 1.9484706297516823, "loss/hidden": 3.506640625, "loss/jsd": 0.0, "loss/logits": 0.19896488767117262, "step": 3100 }, { "epoch": 0.07775, "grad_norm": 29.75, "grad_norm_var": 3.0780598958333334, "learning_rate": 0.0001, "loss": 7.5471, "loss/crossentropy": 2.165594828128815, "loss/hidden": 3.36796875, "loss/jsd": 0.0, "loss/logits": 0.20095103643834591, "step": 3110 }, { "epoch": 0.078, "grad_norm": 29.0, "grad_norm_var": 2.2197916666666666, "learning_rate": 0.0001, "loss": 7.6334, "loss/crossentropy": 2.1854751259088516, "loss/hidden": 3.4640625, "loss/jsd": 0.0, "loss/logits": 0.21246263310313224, "step": 3120 }, { "epoch": 0.07825, "grad_norm": 29.0, "grad_norm_var": 3.71640625, "learning_rate": 0.0001, "loss": 7.4278, "loss/crossentropy": 1.914103902876377, "loss/hidden": 3.451953125, "loss/jsd": 0.0, "loss/logits": 0.18373754434287548, "step": 3130 }, { "epoch": 0.0785, "grad_norm": 29.0, "grad_norm_var": 1.2952473958333333, "learning_rate": 0.0001, "loss": 7.4487, "loss/crossentropy": 1.9421842776238918, "loss/hidden": 3.5296875, "loss/jsd": 0.0, "loss/logits": 0.19919300880283117, "step": 3140 }, { "epoch": 0.07875, "grad_norm": 29.375, "grad_norm_var": 1.8268229166666667, "learning_rate": 0.0001, "loss": 7.5818, "loss/crossentropy": 2.0765694811940194, "loss/hidden": 3.5171875, "loss/jsd": 0.0, "loss/logits": 0.19946561977267266, "step": 3150 }, { "epoch": 0.079, "grad_norm": 28.125, "grad_norm_var": 11.483268229166667, "learning_rate": 0.0001, "loss": 7.4372, "loss/crossentropy": 2.013955050334334, "loss/hidden": 3.4078125, "loss/jsd": 0.0, "loss/logits": 0.20109358858317136, "step": 3160 }, { "epoch": 0.07925, "grad_norm": 28.875, "grad_norm_var": 12.871809895833334, "learning_rate": 0.0001, "loss": 7.4606, "loss/crossentropy": 2.2802242666482924, "loss/hidden": 3.423046875, "loss/jsd": 0.0, "loss/logits": 0.21229397617280482, "step": 3170 }, { "epoch": 0.0795, "grad_norm": 28.375, "grad_norm_var": 1.6301432291666667, "learning_rate": 0.0001, "loss": 7.4691, "loss/crossentropy": 2.134338477253914, "loss/hidden": 3.404296875, "loss/jsd": 0.0, "loss/logits": 0.18632632456719875, "step": 3180 }, { "epoch": 0.07975, "grad_norm": 30.625, "grad_norm_var": 2.6113932291666666, "learning_rate": 0.0001, "loss": 7.4903, "loss/crossentropy": 2.192245528101921, "loss/hidden": 3.381640625, "loss/jsd": 0.0, "loss/logits": 0.19276445377618073, "step": 3190 }, { "epoch": 0.08, "grad_norm": 27.875, "grad_norm_var": 2.6830729166666667, "learning_rate": 0.0001, "loss": 7.4715, "loss/crossentropy": 2.1333388604223726, "loss/hidden": 3.376953125, "loss/jsd": 0.0, "loss/logits": 0.1902673264965415, "step": 3200 }, { "epoch": 0.08025, "grad_norm": 29.625, "grad_norm_var": 2.7072265625, "learning_rate": 0.0001, "loss": 7.4646, "loss/crossentropy": 2.1069626569747926, "loss/hidden": 3.374609375, "loss/jsd": 0.0, "loss/logits": 0.18933899328112602, "step": 3210 }, { "epoch": 0.0805, "grad_norm": 33.0, "grad_norm_var": 1.6457682291666667, "learning_rate": 0.0001, "loss": 7.3771, "loss/crossentropy": 2.143903985619545, "loss/hidden": 3.34921875, "loss/jsd": 0.0, "loss/logits": 0.19841080270707606, "step": 3220 }, { "epoch": 0.08075, "grad_norm": 29.5, "grad_norm_var": 2.405143229166667, "learning_rate": 0.0001, "loss": 7.4629, "loss/crossentropy": 1.9501185864210129, "loss/hidden": 3.474609375, "loss/jsd": 0.0, "loss/logits": 0.2003694986924529, "step": 3230 }, { "epoch": 0.081, "grad_norm": 35.0, "grad_norm_var": 3.4619140625, "learning_rate": 0.0001, "loss": 7.6085, "loss/crossentropy": 2.1099744185805323, "loss/hidden": 3.33515625, "loss/jsd": 0.0, "loss/logits": 0.1865939747542143, "step": 3240 }, { "epoch": 0.08125, "grad_norm": 38.0, "grad_norm_var": 15.54140625, "learning_rate": 0.0001, "loss": 7.4858, "loss/crossentropy": 1.8915734700858593, "loss/hidden": 3.550390625, "loss/jsd": 0.0, "loss/logits": 0.20414282865822314, "step": 3250 }, { "epoch": 0.0815, "grad_norm": 31.875, "grad_norm_var": 15.074934895833334, "learning_rate": 0.0001, "loss": 7.4995, "loss/crossentropy": 2.0746393710374833, "loss/hidden": 3.448046875, "loss/jsd": 0.0, "loss/logits": 0.19025763403624296, "step": 3260 }, { "epoch": 0.08175, "grad_norm": 29.625, "grad_norm_var": 4.532291666666667, "learning_rate": 0.0001, "loss": 7.4517, "loss/crossentropy": 2.201898355782032, "loss/hidden": 3.38515625, "loss/jsd": 0.0, "loss/logits": 0.1851862959563732, "step": 3270 }, { "epoch": 0.082, "grad_norm": 32.25, "grad_norm_var": 9.199739583333333, "learning_rate": 0.0001, "loss": 7.4085, "loss/crossentropy": 1.9774614453315735, "loss/hidden": 3.5078125, "loss/jsd": 0.0, "loss/logits": 0.1853517958894372, "step": 3280 }, { "epoch": 0.08225, "grad_norm": 31.0, "grad_norm_var": 13.801497395833334, "learning_rate": 0.0001, "loss": 7.4065, "loss/crossentropy": 2.1263367265462874, "loss/hidden": 3.412109375, "loss/jsd": 0.0, "loss/logits": 0.18529028967022895, "step": 3290 }, { "epoch": 0.0825, "grad_norm": 29.5, "grad_norm_var": 2.967643229166667, "learning_rate": 0.0001, "loss": 7.4165, "loss/crossentropy": 2.193544697761536, "loss/hidden": 3.350390625, "loss/jsd": 0.0, "loss/logits": 0.19897244460880756, "step": 3300 }, { "epoch": 0.08275, "grad_norm": 33.75, "grad_norm_var": 9.687239583333334, "learning_rate": 0.0001, "loss": 7.5716, "loss/crossentropy": 2.0868531957268717, "loss/hidden": 3.616796875, "loss/jsd": 0.0, "loss/logits": 0.21278488002717494, "step": 3310 }, { "epoch": 0.083, "grad_norm": 31.0, "grad_norm_var": 7.9478515625, "learning_rate": 0.0001, "loss": 7.5543, "loss/crossentropy": 2.1392074063420297, "loss/hidden": 3.395703125, "loss/jsd": 0.0, "loss/logits": 0.21113577168434858, "step": 3320 }, { "epoch": 0.08325, "grad_norm": 30.0, "grad_norm_var": 2.0268229166666667, "learning_rate": 0.0001, "loss": 7.4454, "loss/crossentropy": 2.0691144198179243, "loss/hidden": 3.341796875, "loss/jsd": 0.0, "loss/logits": 0.20186964478343725, "step": 3330 }, { "epoch": 0.0835, "grad_norm": 31.5, "grad_norm_var": 2.6211653265769103e+18, "learning_rate": 0.0001, "loss": 7.4481, "loss/crossentropy": 2.0832756504416468, "loss/hidden": 3.423046875, "loss/jsd": 0.0, "loss/logits": 0.19915037509053946, "step": 3340 }, { "epoch": 0.08375, "grad_norm": 32.5, "grad_norm_var": 2.621165324337292e+18, "learning_rate": 0.0001, "loss": 7.3606, "loss/crossentropy": 2.102260760962963, "loss/hidden": 3.372265625, "loss/jsd": 0.0, "loss/logits": 0.19333885367959738, "step": 3350 }, { "epoch": 0.084, "grad_norm": 29.25, "grad_norm_var": 85.575, "learning_rate": 0.0001, "loss": 7.4073, "loss/crossentropy": 2.149528594315052, "loss/hidden": 3.491796875, "loss/jsd": 0.0, "loss/logits": 0.2177526842802763, "step": 3360 }, { "epoch": 0.08425, "grad_norm": 30.25, "grad_norm_var": 2.8645833333333335, "learning_rate": 0.0001, "loss": 7.4642, "loss/crossentropy": 2.085590344667435, "loss/hidden": 3.330859375, "loss/jsd": 0.0, "loss/logits": 0.17804578468203544, "step": 3370 }, { "epoch": 0.0845, "grad_norm": 33.25, "grad_norm_var": 2.996875, "learning_rate": 0.0001, "loss": 7.3953, "loss/crossentropy": 2.0975965946912765, "loss/hidden": 3.3, "loss/jsd": 0.0, "loss/logits": 0.1847201505675912, "step": 3380 }, { "epoch": 0.08475, "grad_norm": 32.0, "grad_norm_var": 2.470572916666667, "learning_rate": 0.0001, "loss": 7.4553, "loss/crossentropy": 2.1018140748143197, "loss/hidden": 3.36796875, "loss/jsd": 0.0, "loss/logits": 0.18250287007540464, "step": 3390 }, { "epoch": 0.085, "grad_norm": 30.25, "grad_norm_var": 2.887955729166667, "learning_rate": 0.0001, "loss": 7.5238, "loss/crossentropy": 2.1050665065646172, "loss/hidden": 3.501953125, "loss/jsd": 0.0, "loss/logits": 0.2124734738841653, "step": 3400 }, { "epoch": 0.08525, "grad_norm": 30.0, "grad_norm_var": 1.7143229166666667, "learning_rate": 0.0001, "loss": 7.2754, "loss/crossentropy": 2.0948296964168547, "loss/hidden": 3.37421875, "loss/jsd": 0.0, "loss/logits": 0.178215317055583, "step": 3410 }, { "epoch": 0.0855, "grad_norm": 30.875, "grad_norm_var": 5.354622395833333, "learning_rate": 0.0001, "loss": 7.4191, "loss/crossentropy": 2.0418393671512605, "loss/hidden": 3.4734375, "loss/jsd": 0.0, "loss/logits": 0.18740264605730772, "step": 3420 }, { "epoch": 0.08575, "grad_norm": 32.25, "grad_norm_var": 6.430989583333333, "learning_rate": 0.0001, "loss": 7.5642, "loss/crossentropy": 2.0279636546969413, "loss/hidden": 3.55859375, "loss/jsd": 0.0, "loss/logits": 0.20154636316001415, "step": 3430 }, { "epoch": 0.086, "grad_norm": 29.125, "grad_norm_var": 53.64791666666667, "learning_rate": 0.0001, "loss": 7.485, "loss/crossentropy": 2.0705729112029077, "loss/hidden": 3.456640625, "loss/jsd": 0.0, "loss/logits": 0.22035282999277114, "step": 3440 }, { "epoch": 0.08625, "grad_norm": 30.375, "grad_norm_var": 5.54765625, "learning_rate": 0.0001, "loss": 7.428, "loss/crossentropy": 1.9830067940056324, "loss/hidden": 3.376171875, "loss/jsd": 0.0, "loss/logits": 0.19354272997006775, "step": 3450 }, { "epoch": 0.0865, "grad_norm": 28.375, "grad_norm_var": 2.758736220726598e+18, "learning_rate": 0.0001, "loss": 7.4342, "loss/crossentropy": 2.1590976014733316, "loss/hidden": 3.489453125, "loss/jsd": 0.0, "loss/logits": 0.20231232214719058, "step": 3460 }, { "epoch": 0.08675, "grad_norm": 29.125, "grad_norm_var": 2.470572916666667, "learning_rate": 0.0001, "loss": 7.3376, "loss/crossentropy": 2.108407254517078, "loss/hidden": 3.416796875, "loss/jsd": 0.0, "loss/logits": 0.18425025548785925, "step": 3470 }, { "epoch": 0.087, "grad_norm": 32.5, "grad_norm_var": 19.315559895833335, "learning_rate": 0.0001, "loss": 7.391, "loss/crossentropy": 2.086346108466387, "loss/hidden": 3.380859375, "loss/jsd": 0.0, "loss/logits": 0.19492445401847364, "step": 3480 }, { "epoch": 0.08725, "grad_norm": 30.75, "grad_norm_var": 3.9009765625, "learning_rate": 0.0001, "loss": 7.454, "loss/crossentropy": 2.0728737086057665, "loss/hidden": 3.474609375, "loss/jsd": 0.0, "loss/logits": 0.21246139723807572, "step": 3490 }, { "epoch": 0.0875, "grad_norm": 53.25, "grad_norm_var": 34.962955729166666, "learning_rate": 0.0001, "loss": 7.4001, "loss/crossentropy": 1.9173476293683052, "loss/hidden": 3.330859375, "loss/jsd": 0.0, "loss/logits": 0.18263984741643072, "step": 3500 }, { "epoch": 0.08775, "grad_norm": 29.875, "grad_norm_var": 36.22389322916667, "learning_rate": 0.0001, "loss": 7.5855, "loss/crossentropy": 1.9761252515017986, "loss/hidden": 3.391015625, "loss/jsd": 0.0, "loss/logits": 0.20959299746900797, "step": 3510 }, { "epoch": 0.088, "grad_norm": 32.25, "grad_norm_var": 17.7337890625, "learning_rate": 0.0001, "loss": 7.4728, "loss/crossentropy": 2.0416554152965545, "loss/hidden": 3.4703125, "loss/jsd": 0.0, "loss/logits": 0.19014756735414268, "step": 3520 }, { "epoch": 0.08825, "grad_norm": 29.375, "grad_norm_var": 14.664322916666666, "learning_rate": 0.0001, "loss": 7.5608, "loss/crossentropy": 2.2834356099367143, "loss/hidden": 3.3953125, "loss/jsd": 0.0, "loss/logits": 0.19908843878656626, "step": 3530 }, { "epoch": 0.0885, "grad_norm": 31.875, "grad_norm_var": 2.6702473958333335, "learning_rate": 0.0001, "loss": 7.4804, "loss/crossentropy": 2.0417330890893934, "loss/hidden": 3.46875, "loss/jsd": 0.0, "loss/logits": 0.20852382443845272, "step": 3540 }, { "epoch": 0.08875, "grad_norm": 31.625, "grad_norm_var": 2.460724589971584e+18, "learning_rate": 0.0001, "loss": 7.5559, "loss/crossentropy": 2.1676768481731417, "loss/hidden": 3.394921875, "loss/jsd": 0.0, "loss/logits": 0.1989177169278264, "step": 3550 }, { "epoch": 0.089, "grad_norm": 30.0, "grad_norm_var": 6.881705729166667, "learning_rate": 0.0001, "loss": 7.4678, "loss/crossentropy": 2.221273897588253, "loss/hidden": 3.4, "loss/jsd": 0.0, "loss/logits": 0.19402988757938147, "step": 3560 }, { "epoch": 0.08925, "grad_norm": 31.375, "grad_norm_var": 7.732747395833333, "learning_rate": 0.0001, "loss": 7.4508, "loss/crossentropy": 2.1802149415016174, "loss/hidden": 3.43828125, "loss/jsd": 0.0, "loss/logits": 0.20121808685362338, "step": 3570 }, { "epoch": 0.0895, "grad_norm": 52.5, "grad_norm_var": 30.9775390625, "learning_rate": 0.0001, "loss": 7.3982, "loss/crossentropy": 2.085124118626118, "loss/hidden": 3.40390625, "loss/jsd": 0.0, "loss/logits": 0.18448642026633025, "step": 3580 }, { "epoch": 0.08975, "grad_norm": 30.875, "grad_norm_var": 32.91295572916667, "learning_rate": 0.0001, "loss": 7.4381, "loss/crossentropy": 2.1467449337244036, "loss/hidden": 3.3734375, "loss/jsd": 0.0, "loss/logits": 0.19393185302615165, "step": 3590 }, { "epoch": 0.09, "grad_norm": 29.25, "grad_norm_var": 1.4708333333333334, "learning_rate": 0.0001, "loss": 7.415, "loss/crossentropy": 2.0135369554162024, "loss/hidden": 3.37109375, "loss/jsd": 0.0, "loss/logits": 0.18443848174065353, "step": 3600 }, { "epoch": 0.09025, "grad_norm": 31.375, "grad_norm_var": 6.1962890625, "learning_rate": 0.0001, "loss": 7.4028, "loss/crossentropy": 2.1443901300430297, "loss/hidden": 3.440234375, "loss/jsd": 0.0, "loss/logits": 0.2054579086601734, "step": 3610 }, { "epoch": 0.0905, "grad_norm": 26.5, "grad_norm_var": 3.562239583333333, "learning_rate": 0.0001, "loss": 7.3255, "loss/crossentropy": 1.799356396496296, "loss/hidden": 3.36953125, "loss/jsd": 0.0, "loss/logits": 0.17441922090947629, "step": 3620 }, { "epoch": 0.09075, "grad_norm": 31.375, "grad_norm_var": 2.2083333333333335, "learning_rate": 0.0001, "loss": 7.4272, "loss/crossentropy": 1.9925116747617722, "loss/hidden": 3.52578125, "loss/jsd": 0.0, "loss/logits": 0.21653544921427964, "step": 3630 }, { "epoch": 0.091, "grad_norm": 30.125, "grad_norm_var": 0.6125, "learning_rate": 0.0001, "loss": 7.3649, "loss/crossentropy": 2.135761073231697, "loss/hidden": 3.4140625, "loss/jsd": 0.0, "loss/logits": 0.18989351522177458, "step": 3640 }, { "epoch": 0.09125, "grad_norm": 31.375, "grad_norm_var": 1.4330729166666667, "learning_rate": 0.0001, "loss": 7.4505, "loss/crossentropy": 2.0986070543527604, "loss/hidden": 3.334375, "loss/jsd": 0.0, "loss/logits": 0.18352905213832854, "step": 3650 }, { "epoch": 0.0915, "grad_norm": 29.625, "grad_norm_var": 2.5869140625, "learning_rate": 0.0001, "loss": 7.4199, "loss/crossentropy": 2.1555575743317603, "loss/hidden": 3.402734375, "loss/jsd": 0.0, "loss/logits": 0.19261632524430752, "step": 3660 }, { "epoch": 0.09175, "grad_norm": 31.5, "grad_norm_var": 2.371875, "learning_rate": 0.0001, "loss": 7.5463, "loss/crossentropy": 2.1411691516637803, "loss/hidden": 3.446875, "loss/jsd": 0.0, "loss/logits": 0.2046652188524604, "step": 3670 }, { "epoch": 0.092, "grad_norm": 30.625, "grad_norm_var": 4.703580729166666, "learning_rate": 0.0001, "loss": 7.404, "loss/crossentropy": 2.142404294013977, "loss/hidden": 3.445703125, "loss/jsd": 0.0, "loss/logits": 0.20414466112852098, "step": 3680 }, { "epoch": 0.09225, "grad_norm": 30.375, "grad_norm_var": 3.25625, "learning_rate": 0.0001, "loss": 7.4774, "loss/crossentropy": 2.187901920080185, "loss/hidden": 3.480859375, "loss/jsd": 0.0, "loss/logits": 0.21911972090601922, "step": 3690 }, { "epoch": 0.0925, "grad_norm": 31.875, "grad_norm_var": 1.2166666666666666, "learning_rate": 0.0001, "loss": 7.5965, "loss/crossentropy": 2.086391404271126, "loss/hidden": 3.438671875, "loss/jsd": 0.0, "loss/logits": 0.2020766455680132, "step": 3700 }, { "epoch": 0.09275, "grad_norm": 30.625, "grad_norm_var": 2.147330729166667, "learning_rate": 0.0001, "loss": 7.4579, "loss/crossentropy": 2.09081457182765, "loss/hidden": 3.369140625, "loss/jsd": 0.0, "loss/logits": 0.1868050311692059, "step": 3710 }, { "epoch": 0.093, "grad_norm": 34.25, "grad_norm_var": 2.467643229166667, "learning_rate": 0.0001, "loss": 7.522, "loss/crossentropy": 2.12264247238636, "loss/hidden": 3.453125, "loss/jsd": 0.0, "loss/logits": 0.18927707765251398, "step": 3720 }, { "epoch": 0.09325, "grad_norm": 32.25, "grad_norm_var": 3.981184895833333, "learning_rate": 0.0001, "loss": 7.4155, "loss/crossentropy": 2.1118928104639054, "loss/hidden": 3.44765625, "loss/jsd": 0.0, "loss/logits": 0.19489197488874196, "step": 3730 }, { "epoch": 0.0935, "grad_norm": 34.0, "grad_norm_var": 5.312434895833333, "learning_rate": 0.0001, "loss": 7.5053, "loss/crossentropy": 2.1360882744193077, "loss/hidden": 3.426171875, "loss/jsd": 0.0, "loss/logits": 0.19313989579677582, "step": 3740 }, { "epoch": 0.09375, "grad_norm": 29.125, "grad_norm_var": 4.549739583333333, "learning_rate": 0.0001, "loss": 7.3275, "loss/crossentropy": 2.010613538324833, "loss/hidden": 3.355859375, "loss/jsd": 0.0, "loss/logits": 0.18421147018671036, "step": 3750 }, { "epoch": 0.094, "grad_norm": 31.625, "grad_norm_var": 1.5541666666666667, "learning_rate": 0.0001, "loss": 7.4784, "loss/crossentropy": 2.1465295113623144, "loss/hidden": 3.323828125, "loss/jsd": 0.0, "loss/logits": 0.18987073097378016, "step": 3760 }, { "epoch": 0.09425, "grad_norm": 32.75, "grad_norm_var": 1.9018229166666667, "learning_rate": 0.0001, "loss": 7.3495, "loss/crossentropy": 2.17747982442379, "loss/hidden": 3.48046875, "loss/jsd": 0.0, "loss/logits": 0.2016214355826378, "step": 3770 }, { "epoch": 0.0945, "grad_norm": 30.875, "grad_norm_var": 3.088997395833333, "learning_rate": 0.0001, "loss": 7.5384, "loss/crossentropy": 2.179350584745407, "loss/hidden": 3.350390625, "loss/jsd": 0.0, "loss/logits": 0.19142594784498215, "step": 3780 }, { "epoch": 0.09475, "grad_norm": 29.625, "grad_norm_var": 1.1559895833333333, "learning_rate": 0.0001, "loss": 7.4035, "loss/crossentropy": 2.155378046631813, "loss/hidden": 3.32109375, "loss/jsd": 0.0, "loss/logits": 0.19720839541405438, "step": 3790 }, { "epoch": 0.095, "grad_norm": 30.625, "grad_norm_var": 1.1999348958333333, "learning_rate": 0.0001, "loss": 7.4441, "loss/crossentropy": 2.0597486779093743, "loss/hidden": 3.413671875, "loss/jsd": 0.0, "loss/logits": 0.19279775265604257, "step": 3800 }, { "epoch": 0.09525, "grad_norm": 33.5, "grad_norm_var": 2.1666666666666665, "learning_rate": 0.0001, "loss": 7.5146, "loss/crossentropy": 2.1966816753149034, "loss/hidden": 3.44375, "loss/jsd": 0.0, "loss/logits": 0.20174810625612735, "step": 3810 }, { "epoch": 0.0955, "grad_norm": 31.5, "grad_norm_var": 1.9593098958333333, "learning_rate": 0.0001, "loss": 7.539, "loss/crossentropy": 2.165803623199463, "loss/hidden": 3.34375, "loss/jsd": 0.0, "loss/logits": 0.1953417781740427, "step": 3820 }, { "epoch": 0.09575, "grad_norm": 32.0, "grad_norm_var": 6.690625, "learning_rate": 0.0001, "loss": 7.514, "loss/crossentropy": 2.0817860513925552, "loss/hidden": 3.453515625, "loss/jsd": 0.0, "loss/logits": 0.20838446952402592, "step": 3830 }, { "epoch": 0.096, "grad_norm": 32.75, "grad_norm_var": 7.6431640625, "learning_rate": 0.0001, "loss": 7.5472, "loss/crossentropy": 2.231910442560911, "loss/hidden": 3.442578125, "loss/jsd": 0.0, "loss/logits": 0.21717903479002415, "step": 3840 }, { "epoch": 0.09625, "grad_norm": 32.0, "grad_norm_var": 16.134375, "learning_rate": 0.0001, "loss": 7.5807, "loss/crossentropy": 2.0746277555823327, "loss/hidden": 3.47578125, "loss/jsd": 0.0, "loss/logits": 0.20851925816386938, "step": 3850 }, { "epoch": 0.0965, "grad_norm": 30.625, "grad_norm_var": 16.132747395833334, "learning_rate": 0.0001, "loss": 7.3749, "loss/crossentropy": 2.1463438466191294, "loss/hidden": 3.356640625, "loss/jsd": 0.0, "loss/logits": 0.19305863380432128, "step": 3860 }, { "epoch": 0.09675, "grad_norm": 32.5, "grad_norm_var": 1.0895182291666667, "learning_rate": 0.0001, "loss": 7.5499, "loss/crossentropy": 2.2108413323760034, "loss/hidden": 3.42734375, "loss/jsd": 0.0, "loss/logits": 0.20310868676751853, "step": 3870 }, { "epoch": 0.097, "grad_norm": 30.75, "grad_norm_var": 1.4559895833333334, "learning_rate": 0.0001, "loss": 7.4788, "loss/crossentropy": 2.0900154620409013, "loss/hidden": 3.42734375, "loss/jsd": 0.0, "loss/logits": 0.18780422061681748, "step": 3880 }, { "epoch": 0.09725, "grad_norm": 30.625, "grad_norm_var": 13.917643229166666, "learning_rate": 0.0001, "loss": 7.4391, "loss/crossentropy": 2.0574848279356956, "loss/hidden": 3.3875, "loss/jsd": 0.0, "loss/logits": 0.19390027467161416, "step": 3890 }, { "epoch": 0.0975, "grad_norm": 27.375, "grad_norm_var": 13.55, "learning_rate": 0.0001, "loss": 7.4327, "loss/crossentropy": 2.2832688719034193, "loss/hidden": 3.3796875, "loss/jsd": 0.0, "loss/logits": 0.20608801003545524, "step": 3900 }, { "epoch": 0.09775, "grad_norm": 29.0, "grad_norm_var": 3.296875, "learning_rate": 0.0001, "loss": 7.3691, "loss/crossentropy": 1.9183307077735663, "loss/hidden": 3.37890625, "loss/jsd": 0.0, "loss/logits": 0.1917601386550814, "step": 3910 }, { "epoch": 0.098, "grad_norm": 34.0, "grad_norm_var": 3.24765625, "learning_rate": 0.0001, "loss": 7.4628, "loss/crossentropy": 2.0630046002566815, "loss/hidden": 3.338671875, "loss/jsd": 0.0, "loss/logits": 0.1871832549571991, "step": 3920 }, { "epoch": 0.09825, "grad_norm": 31.75, "grad_norm_var": 1.5384765625, "learning_rate": 0.0001, "loss": 7.4868, "loss/crossentropy": 2.061261148750782, "loss/hidden": 3.415234375, "loss/jsd": 0.0, "loss/logits": 0.18525551967322826, "step": 3930 }, { "epoch": 0.0985, "grad_norm": 29.75, "grad_norm_var": 1.584375, "learning_rate": 0.0001, "loss": 7.5498, "loss/crossentropy": 2.0895790114998816, "loss/hidden": 3.409375, "loss/jsd": 0.0, "loss/logits": 0.1932330032810569, "step": 3940 }, { "epoch": 0.09875, "grad_norm": 30.625, "grad_norm_var": 25.79765625, "learning_rate": 0.0001, "loss": 7.6502, "loss/crossentropy": 2.1616804771125318, "loss/hidden": 3.365625, "loss/jsd": 0.0, "loss/logits": 0.18905209768563508, "step": 3950 }, { "epoch": 0.099, "grad_norm": 30.5, "grad_norm_var": 28.547916666666666, "learning_rate": 0.0001, "loss": 7.3334, "loss/crossentropy": 2.1435488507151605, "loss/hidden": 3.397265625, "loss/jsd": 0.0, "loss/logits": 0.1910943292081356, "step": 3960 }, { "epoch": 0.09925, "grad_norm": 32.75, "grad_norm_var": 6.3650390625, "learning_rate": 0.0001, "loss": 7.542, "loss/crossentropy": 2.176460310816765, "loss/hidden": 3.41328125, "loss/jsd": 0.0, "loss/logits": 0.18821860365569593, "step": 3970 }, { "epoch": 0.0995, "grad_norm": 31.625, "grad_norm_var": 3.9905598958333335, "learning_rate": 0.0001, "loss": 7.5231, "loss/crossentropy": 2.2077176332473756, "loss/hidden": 3.4515625, "loss/jsd": 0.0, "loss/logits": 0.21911400128155947, "step": 3980 }, { "epoch": 0.09975, "grad_norm": 31.125, "grad_norm_var": 1.75625, "learning_rate": 0.0001, "loss": 7.4868, "loss/crossentropy": 2.105836200714111, "loss/hidden": 3.36953125, "loss/jsd": 0.0, "loss/logits": 0.1997914554551244, "step": 3990 }, { "epoch": 0.1, "grad_norm": 38.0, "grad_norm_var": 4.710416666666666, "learning_rate": 0.0001, "loss": 7.5675, "loss/crossentropy": 2.233233967423439, "loss/hidden": 3.401953125, "loss/jsd": 0.0, "loss/logits": 0.20876242108643056, "step": 4000 }, { "epoch": 0.10025, "grad_norm": 28.625, "grad_norm_var": 7.56640625, "learning_rate": 0.0001, "loss": 7.4736, "loss/crossentropy": 2.103509198874235, "loss/hidden": 3.413671875, "loss/jsd": 0.0, "loss/logits": 0.1953927006572485, "step": 4010 }, { "epoch": 0.1005, "grad_norm": 28.875, "grad_norm_var": 4.119791666666667, "learning_rate": 0.0001, "loss": 7.4509, "loss/crossentropy": 1.9697775058448315, "loss/hidden": 3.308984375, "loss/jsd": 0.0, "loss/logits": 0.17186311883851885, "step": 4020 }, { "epoch": 0.10075, "grad_norm": 29.5, "grad_norm_var": 1.3177083333333333, "learning_rate": 0.0001, "loss": 7.333, "loss/crossentropy": 2.0519870311021804, "loss/hidden": 3.42421875, "loss/jsd": 0.0, "loss/logits": 0.1872571600601077, "step": 4030 }, { "epoch": 0.101, "grad_norm": 29.5, "grad_norm_var": 1.2785807291666667, "learning_rate": 0.0001, "loss": 7.3466, "loss/crossentropy": 2.0663713179528713, "loss/hidden": 3.39921875, "loss/jsd": 0.0, "loss/logits": 0.18582073990255593, "step": 4040 }, { "epoch": 0.10125, "grad_norm": 30.375, "grad_norm_var": 1.9577473958333333, "learning_rate": 0.0001, "loss": 7.3812, "loss/crossentropy": 2.1256399258971213, "loss/hidden": 3.30390625, "loss/jsd": 0.0, "loss/logits": 0.19628962082788348, "step": 4050 }, { "epoch": 0.1015, "grad_norm": 30.625, "grad_norm_var": 0.53125, "learning_rate": 0.0001, "loss": 7.3726, "loss/crossentropy": 2.1235328309237955, "loss/hidden": 3.3703125, "loss/jsd": 0.0, "loss/logits": 0.18646292947232723, "step": 4060 }, { "epoch": 0.10175, "grad_norm": 29.0, "grad_norm_var": 3.19255952647709e+18, "learning_rate": 0.0001, "loss": 7.4564, "loss/crossentropy": 2.0213126331567763, "loss/hidden": 3.496875, "loss/jsd": 0.0, "loss/logits": 0.19607899691909553, "step": 4070 }, { "epoch": 0.102, "grad_norm": 28.75, "grad_norm_var": 3.48515625, "learning_rate": 0.0001, "loss": 7.3886, "loss/crossentropy": 2.0899658009409903, "loss/hidden": 3.340625, "loss/jsd": 0.0, "loss/logits": 0.1851665174588561, "step": 4080 }, { "epoch": 0.10225, "grad_norm": 29.5, "grad_norm_var": 1.8692057291666666, "learning_rate": 0.0001, "loss": 7.4838, "loss/crossentropy": 2.027493818849325, "loss/hidden": 3.49765625, "loss/jsd": 0.0, "loss/logits": 0.19640162959694862, "step": 4090 }, { "epoch": 0.1025, "grad_norm": 29.125, "grad_norm_var": 11.762434895833334, "learning_rate": 0.0001, "loss": 7.5099, "loss/crossentropy": 2.056584618985653, "loss/hidden": 3.32265625, "loss/jsd": 0.0, "loss/logits": 0.17638762388378382, "step": 4100 }, { "epoch": 0.10275, "grad_norm": 30.125, "grad_norm_var": 12.459375, "learning_rate": 0.0001, "loss": 7.5255, "loss/crossentropy": 2.0713445380330087, "loss/hidden": 3.36953125, "loss/jsd": 0.0, "loss/logits": 0.18587317056953906, "step": 4110 }, { "epoch": 0.103, "grad_norm": 33.25, "grad_norm_var": 1.9958333333333333, "learning_rate": 0.0001, "loss": 7.4437, "loss/crossentropy": 2.2338072419166566, "loss/hidden": 3.36171875, "loss/jsd": 0.0, "loss/logits": 0.18814200926572083, "step": 4120 }, { "epoch": 0.10325, "grad_norm": 32.75, "grad_norm_var": 3.1259765625, "learning_rate": 0.0001, "loss": 7.3184, "loss/crossentropy": 2.0210259817540646, "loss/hidden": 3.3671875, "loss/jsd": 0.0, "loss/logits": 0.18816483654081823, "step": 4130 }, { "epoch": 0.1035, "grad_norm": 29.5, "grad_norm_var": 2.870247395833333, "learning_rate": 0.0001, "loss": 7.5124, "loss/crossentropy": 2.0151045128703116, "loss/hidden": 3.371484375, "loss/jsd": 0.0, "loss/logits": 0.19255878478288652, "step": 4140 }, { "epoch": 0.10375, "grad_norm": 30.625, "grad_norm_var": 1.3926432291666666, "learning_rate": 0.0001, "loss": 7.5096, "loss/crossentropy": 1.9808883003890514, "loss/hidden": 3.449609375, "loss/jsd": 0.0, "loss/logits": 0.19115560222417116, "step": 4150 }, { "epoch": 0.104, "grad_norm": 30.75, "grad_norm_var": 1.6979166666666667, "learning_rate": 0.0001, "loss": 7.549, "loss/crossentropy": 2.1932784736156465, "loss/hidden": 3.39765625, "loss/jsd": 0.0, "loss/logits": 0.20479805655777455, "step": 4160 }, { "epoch": 0.10425, "grad_norm": 30.125, "grad_norm_var": 2.3333333333333335, "learning_rate": 0.0001, "loss": 7.3875, "loss/crossentropy": 1.8820222720503808, "loss/hidden": 3.337109375, "loss/jsd": 0.0, "loss/logits": 0.17310038600116967, "step": 4170 }, { "epoch": 0.1045, "grad_norm": 33.0, "grad_norm_var": 3.7728515625, "learning_rate": 0.0001, "loss": 7.4212, "loss/crossentropy": 2.082476270198822, "loss/hidden": 3.334765625, "loss/jsd": 0.0, "loss/logits": 0.19099258184432982, "step": 4180 }, { "epoch": 0.10475, "grad_norm": 30.875, "grad_norm_var": 11.408268229166667, "learning_rate": 0.0001, "loss": 7.4991, "loss/crossentropy": 2.287242355942726, "loss/hidden": 3.375390625, "loss/jsd": 0.0, "loss/logits": 0.1982285875827074, "step": 4190 }, { "epoch": 0.105, "grad_norm": 28.75, "grad_norm_var": 2.999739583333333, "learning_rate": 0.0001, "loss": 7.5959, "loss/crossentropy": 2.1783332407474516, "loss/hidden": 3.422265625, "loss/jsd": 0.0, "loss/logits": 0.2117959801107645, "step": 4200 }, { "epoch": 0.10525, "grad_norm": 30.0, "grad_norm_var": 4.708268229166666, "learning_rate": 0.0001, "loss": 7.3363, "loss/crossentropy": 1.955865352600813, "loss/hidden": 3.409375, "loss/jsd": 0.0, "loss/logits": 0.18177355360239744, "step": 4210 }, { "epoch": 0.1055, "grad_norm": 30.625, "grad_norm_var": 3.0254557291666666, "learning_rate": 0.0001, "loss": 7.4673, "loss/crossentropy": 1.833389012515545, "loss/hidden": 3.394921875, "loss/jsd": 0.0, "loss/logits": 0.1878132861107588, "step": 4220 }, { "epoch": 0.10575, "grad_norm": 32.0, "grad_norm_var": 3.05, "learning_rate": 0.0001, "loss": 7.3969, "loss/crossentropy": 1.9096243590116502, "loss/hidden": 3.35625, "loss/jsd": 0.0, "loss/logits": 0.17025592969730496, "step": 4230 }, { "epoch": 0.106, "grad_norm": 30.875, "grad_norm_var": 1.82265625, "learning_rate": 0.0001, "loss": 7.4638, "loss/crossentropy": 2.0454175233840943, "loss/hidden": 3.436328125, "loss/jsd": 0.0, "loss/logits": 0.20515710916370153, "step": 4240 }, { "epoch": 0.10625, "grad_norm": 30.125, "grad_norm_var": 3.1333333333333333, "learning_rate": 0.0001, "loss": 7.5126, "loss/crossentropy": 2.089062933623791, "loss/hidden": 3.4328125, "loss/jsd": 0.0, "loss/logits": 0.19156677946448325, "step": 4250 }, { "epoch": 0.1065, "grad_norm": 29.0, "grad_norm_var": 4.311393229166667, "learning_rate": 0.0001, "loss": 7.4468, "loss/crossentropy": 2.0564094200730323, "loss/hidden": 3.433984375, "loss/jsd": 0.0, "loss/logits": 0.19553639348596336, "step": 4260 }, { "epoch": 0.10675, "grad_norm": 32.0, "grad_norm_var": 3.2587890625, "learning_rate": 0.0001, "loss": 7.4186, "loss/crossentropy": 2.13806764036417, "loss/hidden": 3.3859375, "loss/jsd": 0.0, "loss/logits": 0.19822277761995793, "step": 4270 }, { "epoch": 0.107, "grad_norm": 28.0, "grad_norm_var": 1.6926432291666667, "learning_rate": 0.0001, "loss": 7.4595, "loss/crossentropy": 2.0767486467957497, "loss/hidden": 3.41953125, "loss/jsd": 0.0, "loss/logits": 0.1884168043732643, "step": 4280 }, { "epoch": 0.10725, "grad_norm": 33.0, "grad_norm_var": 2.3059895833333335, "learning_rate": 0.0001, "loss": 7.4481, "loss/crossentropy": 2.033916361629963, "loss/hidden": 3.45, "loss/jsd": 0.0, "loss/logits": 0.20558829829096795, "step": 4290 }, { "epoch": 0.1075, "grad_norm": 31.0, "grad_norm_var": 2.9375, "learning_rate": 0.0001, "loss": 7.4871, "loss/crossentropy": 2.078028707951307, "loss/hidden": 3.37578125, "loss/jsd": 0.0, "loss/logits": 0.188079852424562, "step": 4300 }, { "epoch": 0.10775, "grad_norm": 33.25, "grad_norm_var": 2.1020833333333333, "learning_rate": 0.0001, "loss": 7.5379, "loss/crossentropy": 2.003500834107399, "loss/hidden": 3.544921875, "loss/jsd": 0.0, "loss/logits": 0.20521650360897184, "step": 4310 }, { "epoch": 0.108, "grad_norm": 29.625, "grad_norm_var": 2.8447916666666666, "learning_rate": 0.0001, "loss": 7.3536, "loss/crossentropy": 2.043112625181675, "loss/hidden": 3.380859375, "loss/jsd": 0.0, "loss/logits": 0.19910661596804857, "step": 4320 }, { "epoch": 0.10825, "grad_norm": 28.5, "grad_norm_var": 4.000455729166666, "learning_rate": 0.0001, "loss": 7.3717, "loss/crossentropy": 2.1422011658549307, "loss/hidden": 3.38671875, "loss/jsd": 0.0, "loss/logits": 0.19375871792435645, "step": 4330 }, { "epoch": 0.1085, "grad_norm": 29.0, "grad_norm_var": 3.6259765625, "learning_rate": 0.0001, "loss": 7.5021, "loss/crossentropy": 2.131446525454521, "loss/hidden": 3.480078125, "loss/jsd": 0.0, "loss/logits": 0.2063008865341544, "step": 4340 }, { "epoch": 0.10875, "grad_norm": 32.0, "grad_norm_var": 5.9525390625, "learning_rate": 0.0001, "loss": 7.4749, "loss/crossentropy": 2.085691845417023, "loss/hidden": 3.359375, "loss/jsd": 0.0, "loss/logits": 0.1889802658930421, "step": 4350 }, { "epoch": 0.109, "grad_norm": 30.75, "grad_norm_var": 3.154166666666667, "learning_rate": 0.0001, "loss": 7.3816, "loss/crossentropy": 1.8972876839339734, "loss/hidden": 3.319140625, "loss/jsd": 0.0, "loss/logits": 0.17174729090183974, "step": 4360 }, { "epoch": 0.10925, "grad_norm": 29.875, "grad_norm_var": 1.7509765625, "learning_rate": 0.0001, "loss": 7.4444, "loss/crossentropy": 2.127763804793358, "loss/hidden": 3.401953125, "loss/jsd": 0.0, "loss/logits": 0.18679574280977249, "step": 4370 }, { "epoch": 0.1095, "grad_norm": 29.875, "grad_norm_var": 2.16015625, "learning_rate": 0.0001, "loss": 7.4682, "loss/crossentropy": 2.1872297644615175, "loss/hidden": 3.31328125, "loss/jsd": 0.0, "loss/logits": 0.183891461789608, "step": 4380 }, { "epoch": 0.10975, "grad_norm": 28.875, "grad_norm_var": 3.3692057291666666, "learning_rate": 0.0001, "loss": 7.429, "loss/crossentropy": 2.19267495572567, "loss/hidden": 3.394140625, "loss/jsd": 0.0, "loss/logits": 0.20111876968294382, "step": 4390 }, { "epoch": 0.11, "grad_norm": 29.375, "grad_norm_var": 1.6858723958333333, "learning_rate": 0.0001, "loss": 7.556, "loss/crossentropy": 2.1324411287903784, "loss/hidden": 3.4359375, "loss/jsd": 0.0, "loss/logits": 0.2090261412784457, "step": 4400 }, { "epoch": 0.11025, "grad_norm": 33.5, "grad_norm_var": 3.374739583333333, "learning_rate": 0.0001, "loss": 7.4081, "loss/crossentropy": 1.9800483137369156, "loss/hidden": 3.584375, "loss/jsd": 0.0, "loss/logits": 0.19881114605814218, "step": 4410 }, { "epoch": 0.1105, "grad_norm": 31.75, "grad_norm_var": 4.13515625, "learning_rate": 0.0001, "loss": 7.4904, "loss/crossentropy": 2.053773292154074, "loss/hidden": 3.323828125, "loss/jsd": 0.0, "loss/logits": 0.18270381446927786, "step": 4420 }, { "epoch": 0.11075, "grad_norm": 30.75, "grad_norm_var": 2.3499348958333335, "learning_rate": 0.0001, "loss": 7.4509, "loss/crossentropy": 2.0641689248383046, "loss/hidden": 3.40390625, "loss/jsd": 0.0, "loss/logits": 0.19245190378278493, "step": 4430 }, { "epoch": 0.111, "grad_norm": 33.25, "grad_norm_var": 3.158333333333333, "learning_rate": 0.0001, "loss": 7.3576, "loss/crossentropy": 2.073286408931017, "loss/hidden": 3.37265625, "loss/jsd": 0.0, "loss/logits": 0.1892416624352336, "step": 4440 }, { "epoch": 0.11125, "grad_norm": 35.75, "grad_norm_var": 6.167122395833333, "learning_rate": 0.0001, "loss": 7.456, "loss/crossentropy": 2.191167525947094, "loss/hidden": 3.3140625, "loss/jsd": 0.0, "loss/logits": 0.19327596500515937, "step": 4450 }, { "epoch": 0.1115, "grad_norm": 28.0, "grad_norm_var": 6.762239583333334, "learning_rate": 0.0001, "loss": 7.4254, "loss/crossentropy": 1.9917161837220192, "loss/hidden": 3.48828125, "loss/jsd": 0.0, "loss/logits": 0.18673346154391765, "step": 4460 }, { "epoch": 0.11175, "grad_norm": 31.0, "grad_norm_var": 2.763541666666667, "learning_rate": 0.0001, "loss": 7.4458, "loss/crossentropy": 2.0167058646678924, "loss/hidden": 3.477734375, "loss/jsd": 0.0, "loss/logits": 0.20151916183531285, "step": 4470 }, { "epoch": 0.112, "grad_norm": 30.5, "grad_norm_var": 7.175455729166667, "learning_rate": 0.0001, "loss": 7.4057, "loss/crossentropy": 2.013149876892567, "loss/hidden": 3.405859375, "loss/jsd": 0.0, "loss/logits": 0.1819242848083377, "step": 4480 }, { "epoch": 0.11225, "grad_norm": 43.25, "grad_norm_var": 13.478580729166667, "learning_rate": 0.0001, "loss": 7.4416, "loss/crossentropy": 2.111778366565704, "loss/hidden": 3.4, "loss/jsd": 0.0, "loss/logits": 0.20088088884949684, "step": 4490 }, { "epoch": 0.1125, "grad_norm": 30.125, "grad_norm_var": 11.905143229166667, "learning_rate": 0.0001, "loss": 7.4435, "loss/crossentropy": 2.0223396182060243, "loss/hidden": 3.408984375, "loss/jsd": 0.0, "loss/logits": 0.1967620700597763, "step": 4500 }, { "epoch": 0.11275, "grad_norm": 28.375, "grad_norm_var": 2.2978515625, "learning_rate": 0.0001, "loss": 7.3969, "loss/crossentropy": 1.9966137878596784, "loss/hidden": 3.416796875, "loss/jsd": 0.0, "loss/logits": 0.19062119219452142, "step": 4510 }, { "epoch": 0.113, "grad_norm": 29.75, "grad_norm_var": 3.1759765625, "learning_rate": 0.0001, "loss": 7.2845, "loss/crossentropy": 1.8878834903240205, "loss/hidden": 3.346484375, "loss/jsd": 0.0, "loss/logits": 0.16922880560159684, "step": 4520 }, { "epoch": 0.11325, "grad_norm": 33.5, "grad_norm_var": 3.78515625, "learning_rate": 0.0001, "loss": 7.5223, "loss/crossentropy": 2.0424712359905244, "loss/hidden": 3.42109375, "loss/jsd": 0.0, "loss/logits": 0.18261839263141155, "step": 4530 }, { "epoch": 0.1135, "grad_norm": 41.75, "grad_norm_var": 13.172330729166667, "learning_rate": 0.0001, "loss": 7.4917, "loss/crossentropy": 2.1800880253314974, "loss/hidden": 3.419140625, "loss/jsd": 0.0, "loss/logits": 0.1875661849975586, "step": 4540 }, { "epoch": 0.11375, "grad_norm": 29.5, "grad_norm_var": 13.737239583333333, "learning_rate": 0.0001, "loss": 7.4929, "loss/crossentropy": 2.1130245834589005, "loss/hidden": 3.514453125, "loss/jsd": 0.0, "loss/logits": 0.20742647554725407, "step": 4550 }, { "epoch": 0.114, "grad_norm": 31.875, "grad_norm_var": 3.1447265625, "learning_rate": 0.0001, "loss": 7.4885, "loss/crossentropy": 2.0878429099917413, "loss/hidden": 3.4625, "loss/jsd": 0.0, "loss/logits": 0.19807947240769863, "step": 4560 }, { "epoch": 0.11425, "grad_norm": 32.0, "grad_norm_var": 1.9080729166666666, "learning_rate": 0.0001, "loss": 7.412, "loss/crossentropy": 2.045598204433918, "loss/hidden": 3.43984375, "loss/jsd": 0.0, "loss/logits": 0.19935160782188177, "step": 4570 }, { "epoch": 0.1145, "grad_norm": 31.25, "grad_norm_var": 2.703285650940459e+18, "learning_rate": 0.0001, "loss": 7.4112, "loss/crossentropy": 1.9612677067518234, "loss/hidden": 3.484375, "loss/jsd": 0.0, "loss/logits": 0.1939171139150858, "step": 4580 }, { "epoch": 0.11475, "grad_norm": 30.125, "grad_norm_var": 9.067708333333334, "learning_rate": 0.0001, "loss": 7.4109, "loss/crossentropy": 2.066862888634205, "loss/hidden": 3.440625, "loss/jsd": 0.0, "loss/logits": 0.20057452656328678, "step": 4590 }, { "epoch": 0.115, "grad_norm": 29.25, "grad_norm_var": 6.670833333333333, "learning_rate": 0.0001, "loss": 7.3857, "loss/crossentropy": 2.0378803849220275, "loss/hidden": 3.495703125, "loss/jsd": 0.0, "loss/logits": 0.19217969439923763, "step": 4600 }, { "epoch": 0.11525, "grad_norm": 32.0, "grad_norm_var": 8.108268229166667, "learning_rate": 0.0001, "loss": 7.4449, "loss/crossentropy": 1.9883966132998467, "loss/hidden": 3.378515625, "loss/jsd": 0.0, "loss/logits": 0.1796421378850937, "step": 4610 }, { "epoch": 0.1155, "grad_norm": 28.5, "grad_norm_var": 2.8853515625, "learning_rate": 0.0001, "loss": 7.43, "loss/crossentropy": 2.2122382700443266, "loss/hidden": 3.434765625, "loss/jsd": 0.0, "loss/logits": 0.20737907551229, "step": 4620 }, { "epoch": 0.11575, "grad_norm": 30.375, "grad_norm_var": 3.7968098958333334, "learning_rate": 0.0001, "loss": 7.3858, "loss/crossentropy": 2.0896764233708383, "loss/hidden": 3.540234375, "loss/jsd": 0.0, "loss/logits": 0.20905990786850454, "step": 4630 }, { "epoch": 0.116, "grad_norm": 27.5, "grad_norm_var": 3.6879557291666667, "learning_rate": 0.0001, "loss": 7.5145, "loss/crossentropy": 2.104724445939064, "loss/hidden": 3.3796875, "loss/jsd": 0.0, "loss/logits": 0.19548750538378953, "step": 4640 }, { "epoch": 0.11625, "grad_norm": 29.875, "grad_norm_var": 8.7056640625, "learning_rate": 0.0001, "loss": 7.4009, "loss/crossentropy": 2.155320603400469, "loss/hidden": 3.47578125, "loss/jsd": 0.0, "loss/logits": 0.2002986514940858, "step": 4650 }, { "epoch": 0.1165, "grad_norm": 27.0, "grad_norm_var": 5.1541015625, "learning_rate": 0.0001, "loss": 7.3193, "loss/crossentropy": 2.085461828112602, "loss/hidden": 3.38671875, "loss/jsd": 0.0, "loss/logits": 0.1905359473079443, "step": 4660 }, { "epoch": 0.11675, "grad_norm": 30.5, "grad_norm_var": 1.5926432291666666, "learning_rate": 0.0001, "loss": 7.3125, "loss/crossentropy": 1.9927285239100456, "loss/hidden": 3.411328125, "loss/jsd": 0.0, "loss/logits": 0.17640038076788186, "step": 4670 }, { "epoch": 0.117, "grad_norm": 33.75, "grad_norm_var": 4.747330729166666, "learning_rate": 0.0001, "loss": 7.469, "loss/crossentropy": 2.1633560836315153, "loss/hidden": 3.324609375, "loss/jsd": 0.0, "loss/logits": 0.1862495567649603, "step": 4680 }, { "epoch": 0.11725, "grad_norm": 28.25, "grad_norm_var": 7.198372395833333, "learning_rate": 0.0001, "loss": 7.4318, "loss/crossentropy": 2.2390024289488792, "loss/hidden": 3.430078125, "loss/jsd": 0.0, "loss/logits": 0.2097862558439374, "step": 4690 }, { "epoch": 0.1175, "grad_norm": 31.375, "grad_norm_var": 5.760872395833333, "learning_rate": 0.0001, "loss": 7.4669, "loss/crossentropy": 2.0608770951628683, "loss/hidden": 3.4390625, "loss/jsd": 0.0, "loss/logits": 0.19615320730954408, "step": 4700 }, { "epoch": 0.11775, "grad_norm": 34.25, "grad_norm_var": 4.1894735190686346e+18, "learning_rate": 0.0001, "loss": 7.4596, "loss/crossentropy": 2.0900899082422257, "loss/hidden": 3.360546875, "loss/jsd": 0.0, "loss/logits": 0.17933723451569678, "step": 4710 }, { "epoch": 0.118, "grad_norm": 29.625, "grad_norm_var": 58.10729166666667, "learning_rate": 0.0001, "loss": 7.3979, "loss/crossentropy": 2.094898019731045, "loss/hidden": 3.46875, "loss/jsd": 0.0, "loss/logits": 0.20720194689929486, "step": 4720 }, { "epoch": 0.11825, "grad_norm": 30.25, "grad_norm_var": 1.98515625, "learning_rate": 0.0001, "loss": 7.4519, "loss/crossentropy": 2.083225329220295, "loss/hidden": 3.426171875, "loss/jsd": 0.0, "loss/logits": 0.20777787994593383, "step": 4730 }, { "epoch": 0.1185, "grad_norm": 30.375, "grad_norm_var": 4.818684895833333, "learning_rate": 0.0001, "loss": 7.4795, "loss/crossentropy": 2.1974314540624618, "loss/hidden": 3.38046875, "loss/jsd": 0.0, "loss/logits": 0.19978385213762523, "step": 4740 }, { "epoch": 0.11875, "grad_norm": 32.5, "grad_norm_var": 3.439322916666667, "learning_rate": 0.0001, "loss": 7.3843, "loss/crossentropy": 1.9562335655093193, "loss/hidden": 3.39140625, "loss/jsd": 0.0, "loss/logits": 0.18924889974296094, "step": 4750 }, { "epoch": 0.119, "grad_norm": 30.625, "grad_norm_var": 1.3015402743274143e+18, "learning_rate": 0.0001, "loss": 7.5729, "loss/crossentropy": 2.0693807609379293, "loss/hidden": 3.339453125, "loss/jsd": 0.0, "loss/logits": 0.18801879994571208, "step": 4760 }, { "epoch": 0.11925, "grad_norm": 35.25, "grad_norm_var": 258.8791015625, "learning_rate": 0.0001, "loss": 7.3013, "loss/crossentropy": 2.0631250627338886, "loss/hidden": 3.3703125, "loss/jsd": 0.0, "loss/logits": 0.18974527437239885, "step": 4770 }, { "epoch": 0.1195, "grad_norm": 28.625, "grad_norm_var": 301.52233072916664, "learning_rate": 0.0001, "loss": 7.4639, "loss/crossentropy": 2.1473939388990404, "loss/hidden": 3.3984375, "loss/jsd": 0.0, "loss/logits": 0.19722200892865657, "step": 4780 }, { "epoch": 0.11975, "grad_norm": 31.125, "grad_norm_var": 25.472330729166668, "learning_rate": 0.0001, "loss": 7.3161, "loss/crossentropy": 2.1767601929605007, "loss/hidden": 3.380078125, "loss/jsd": 0.0, "loss/logits": 0.20041130091995002, "step": 4790 }, { "epoch": 0.12, "grad_norm": 29.5, "grad_norm_var": 2.8580729166666665, "learning_rate": 0.0001, "loss": 7.3077, "loss/crossentropy": 2.0214909121394156, "loss/hidden": 3.38828125, "loss/jsd": 0.0, "loss/logits": 0.19553480856120586, "step": 4800 }, { "epoch": 0.12025, "grad_norm": 34.25, "grad_norm_var": 2.3666015625, "learning_rate": 0.0001, "loss": 7.4537, "loss/crossentropy": 2.092876334488392, "loss/hidden": 3.276171875, "loss/jsd": 0.0, "loss/logits": 0.19079044535756112, "step": 4810 }, { "epoch": 0.1205, "grad_norm": 28.75, "grad_norm_var": 2.1494140625, "learning_rate": 0.0001, "loss": 7.3579, "loss/crossentropy": 2.159788618981838, "loss/hidden": 3.447265625, "loss/jsd": 0.0, "loss/logits": 0.20938555523753166, "step": 4820 }, { "epoch": 0.12075, "grad_norm": 31.625, "grad_norm_var": 1.2635411529466906e+18, "learning_rate": 0.0001, "loss": 7.3822, "loss/crossentropy": 2.221826246380806, "loss/hidden": 3.3140625, "loss/jsd": 0.0, "loss/logits": 0.18899439387023448, "step": 4830 }, { "epoch": 0.121, "grad_norm": 29.375, "grad_norm_var": 7.171875, "learning_rate": 0.0001, "loss": 7.3649, "loss/crossentropy": 2.2076950490474703, "loss/hidden": 3.321875, "loss/jsd": 0.0, "loss/logits": 0.1911212421953678, "step": 4840 }, { "epoch": 0.12125, "grad_norm": 28.875, "grad_norm_var": 5.397916666666666, "learning_rate": 0.0001, "loss": 7.2934, "loss/crossentropy": 2.1398009806871414, "loss/hidden": 3.276953125, "loss/jsd": 0.0, "loss/logits": 0.18104367554187775, "step": 4850 }, { "epoch": 0.1215, "grad_norm": 33.25, "grad_norm_var": 2.292122395833333, "learning_rate": 0.0001, "loss": 7.3944, "loss/crossentropy": 2.0568679124116898, "loss/hidden": 3.31953125, "loss/jsd": 0.0, "loss/logits": 0.19066975675523282, "step": 4860 }, { "epoch": 0.12175, "grad_norm": 31.75, "grad_norm_var": 1.5145182291666666, "learning_rate": 0.0001, "loss": 7.5365, "loss/crossentropy": 2.2600763499736787, "loss/hidden": 3.419921875, "loss/jsd": 0.0, "loss/logits": 0.20988074019551278, "step": 4870 }, { "epoch": 0.122, "grad_norm": 30.125, "grad_norm_var": 0.8442057291666667, "learning_rate": 0.0001, "loss": 7.4425, "loss/crossentropy": 2.087808459997177, "loss/hidden": 3.397265625, "loss/jsd": 0.0, "loss/logits": 0.20126468148082494, "step": 4880 }, { "epoch": 0.12225, "grad_norm": 29.25, "grad_norm_var": 1.9455729166666667, "learning_rate": 0.0001, "loss": 7.4649, "loss/crossentropy": 2.089573635160923, "loss/hidden": 3.3890625, "loss/jsd": 0.0, "loss/logits": 0.18984669484198094, "step": 4890 }, { "epoch": 0.1225, "grad_norm": 29.125, "grad_norm_var": 2.7552083333333335, "learning_rate": 0.0001, "loss": 7.4894, "loss/crossentropy": 2.1424145482480528, "loss/hidden": 3.47890625, "loss/jsd": 0.0, "loss/logits": 0.20886036530137062, "step": 4900 }, { "epoch": 0.12275, "grad_norm": 31.0, "grad_norm_var": 4.751497395833334, "learning_rate": 0.0001, "loss": 7.5033, "loss/crossentropy": 2.104494086652994, "loss/hidden": 3.41875, "loss/jsd": 0.0, "loss/logits": 0.1945918256416917, "step": 4910 }, { "epoch": 0.123, "grad_norm": 28.125, "grad_norm_var": 5.330989583333333, "learning_rate": 0.0001, "loss": 7.4954, "loss/crossentropy": 2.0843611776828768, "loss/hidden": 3.358203125, "loss/jsd": 0.0, "loss/logits": 0.1925347488373518, "step": 4920 }, { "epoch": 0.12325, "grad_norm": 28.625, "grad_norm_var": 3.8166015625, "learning_rate": 0.0001, "loss": 7.4404, "loss/crossentropy": 2.205425333976746, "loss/hidden": 3.3359375, "loss/jsd": 0.0, "loss/logits": 0.18580489940941333, "step": 4930 }, { "epoch": 0.1235, "grad_norm": 29.375, "grad_norm_var": 14.980208333333334, "learning_rate": 0.0001, "loss": 7.3481, "loss/crossentropy": 1.9896500617265702, "loss/hidden": 3.39609375, "loss/jsd": 0.0, "loss/logits": 0.1904701752588153, "step": 4940 }, { "epoch": 0.12375, "grad_norm": 32.75, "grad_norm_var": 19.178580729166665, "learning_rate": 0.0001, "loss": 7.5252, "loss/crossentropy": 2.1207278318703175, "loss/hidden": 3.484375, "loss/jsd": 0.0, "loss/logits": 0.19760717861354352, "step": 4950 }, { "epoch": 0.124, "grad_norm": 32.5, "grad_norm_var": 17.264583333333334, "learning_rate": 0.0001, "loss": 7.2678, "loss/crossentropy": 1.9271991185843944, "loss/hidden": 3.419921875, "loss/jsd": 0.0, "loss/logits": 0.19860625620931388, "step": 4960 }, { "epoch": 0.12425, "grad_norm": 28.625, "grad_norm_var": 11.196809895833333, "learning_rate": 0.0001, "loss": 7.3703, "loss/crossentropy": 2.0659097760915754, "loss/hidden": 3.287109375, "loss/jsd": 0.0, "loss/logits": 0.18224728610366583, "step": 4970 }, { "epoch": 0.1245, "grad_norm": 37.75, "grad_norm_var": 10.03515625, "learning_rate": 0.0001, "loss": 7.5041, "loss/crossentropy": 1.9809176340699195, "loss/hidden": 3.41796875, "loss/jsd": 0.0, "loss/logits": 0.19965030066668987, "step": 4980 }, { "epoch": 0.12475, "grad_norm": 27.125, "grad_norm_var": 11.567708333333334, "learning_rate": 0.0001, "loss": 7.327, "loss/crossentropy": 2.0197409205138683, "loss/hidden": 3.368359375, "loss/jsd": 0.0, "loss/logits": 0.18525638189166785, "step": 4990 }, { "epoch": 0.125, "grad_norm": 34.75, "grad_norm_var": 8.558268229166666, "learning_rate": 0.0001, "loss": 7.393, "loss/crossentropy": 2.100055608153343, "loss/hidden": 3.391015625, "loss/jsd": 0.0, "loss/logits": 0.19607669236138464, "step": 5000 }, { "epoch": 0.12525, "grad_norm": 29.75, "grad_norm_var": 5.602083333333334, "learning_rate": 0.0001, "loss": 7.4165, "loss/crossentropy": 1.9898378394544125, "loss/hidden": 3.350390625, "loss/jsd": 0.0, "loss/logits": 0.18131834492087365, "step": 5010 }, { "epoch": 0.1255, "grad_norm": 34.75, "grad_norm_var": 5.866666666666666, "learning_rate": 0.0001, "loss": 7.555, "loss/crossentropy": 2.086017055809498, "loss/hidden": 3.446484375, "loss/jsd": 0.0, "loss/logits": 0.1889553153887391, "step": 5020 }, { "epoch": 0.12575, "grad_norm": 33.25, "grad_norm_var": 9.083268229166666, "learning_rate": 0.0001, "loss": 7.4098, "loss/crossentropy": 2.1133529357612133, "loss/hidden": 3.365234375, "loss/jsd": 0.0, "loss/logits": 0.1881294794380665, "step": 5030 }, { "epoch": 0.126, "grad_norm": 37.25, "grad_norm_var": 14.268489583333333, "learning_rate": 0.0001, "loss": 7.4117, "loss/crossentropy": 2.1818468660116195, "loss/hidden": 3.3390625, "loss/jsd": 0.0, "loss/logits": 0.19351670220494271, "step": 5040 }, { "epoch": 0.12625, "grad_norm": 27.75, "grad_norm_var": 15.270572916666667, "learning_rate": 0.0001, "loss": 7.448, "loss/crossentropy": 2.133790023624897, "loss/hidden": 3.267578125, "loss/jsd": 0.0, "loss/logits": 0.17900315206497908, "step": 5050 }, { "epoch": 0.1265, "grad_norm": 27.75, "grad_norm_var": 12.469791666666667, "learning_rate": 0.0001, "loss": 7.4514, "loss/crossentropy": 2.013399636745453, "loss/hidden": 3.502734375, "loss/jsd": 0.0, "loss/logits": 0.19984339475631713, "step": 5060 }, { "epoch": 0.12675, "grad_norm": 28.625, "grad_norm_var": 6.479622395833333, "learning_rate": 0.0001, "loss": 7.4411, "loss/crossentropy": 2.1552533119916917, "loss/hidden": 3.4265625, "loss/jsd": 0.0, "loss/logits": 0.20999168753623962, "step": 5070 }, { "epoch": 0.127, "grad_norm": 30.125, "grad_norm_var": 4.280989583333334, "learning_rate": 0.0001, "loss": 7.4238, "loss/crossentropy": 2.1047082796692846, "loss/hidden": 3.44375, "loss/jsd": 0.0, "loss/logits": 0.19757428932935, "step": 5080 }, { "epoch": 0.12725, "grad_norm": 29.25, "grad_norm_var": 3.971875, "learning_rate": 0.0001, "loss": 7.547, "loss/crossentropy": 2.2064288735389708, "loss/hidden": 3.472265625, "loss/jsd": 0.0, "loss/logits": 0.2037733059376478, "step": 5090 }, { "epoch": 0.1275, "grad_norm": 30.125, "grad_norm_var": 3.809309895833333, "learning_rate": 0.0001, "loss": 7.5359, "loss/crossentropy": 2.307460626959801, "loss/hidden": 3.405078125, "loss/jsd": 0.0, "loss/logits": 0.2208320491015911, "step": 5100 }, { "epoch": 0.12775, "grad_norm": 30.0, "grad_norm_var": 6.887434895833334, "learning_rate": 0.0001, "loss": 7.3695, "loss/crossentropy": 2.1241589702665804, "loss/hidden": 3.36640625, "loss/jsd": 0.0, "loss/logits": 0.18603499811142682, "step": 5110 }, { "epoch": 0.128, "grad_norm": 30.125, "grad_norm_var": 1.8353515625, "learning_rate": 0.0001, "loss": 7.4045, "loss/crossentropy": 2.1248120576143266, "loss/hidden": 3.364453125, "loss/jsd": 0.0, "loss/logits": 0.19218573588877916, "step": 5120 }, { "epoch": 0.12825, "grad_norm": 30.875, "grad_norm_var": 18.843489583333334, "learning_rate": 0.0001, "loss": 7.3683, "loss/crossentropy": 2.0221078641712666, "loss/hidden": 3.396484375, "loss/jsd": 0.0, "loss/logits": 0.19441262539476156, "step": 5130 }, { "epoch": 0.1285, "grad_norm": 30.25, "grad_norm_var": 19.755989583333335, "learning_rate": 0.0001, "loss": 7.4467, "loss/crossentropy": 2.0746863678097727, "loss/hidden": 3.41015625, "loss/jsd": 0.0, "loss/logits": 0.20940047055482863, "step": 5140 }, { "epoch": 0.12875, "grad_norm": 29.75, "grad_norm_var": 7.226497395833333, "learning_rate": 0.0001, "loss": 7.4125, "loss/crossentropy": 2.127023458480835, "loss/hidden": 3.3984375, "loss/jsd": 0.0, "loss/logits": 0.19320496991276742, "step": 5150 }, { "epoch": 0.129, "grad_norm": 30.875, "grad_norm_var": 8.332747395833334, "learning_rate": 0.0001, "loss": 7.3609, "loss/crossentropy": 2.0404578357934953, "loss/hidden": 3.271484375, "loss/jsd": 0.0, "loss/logits": 0.18524497244507074, "step": 5160 }, { "epoch": 0.12925, "grad_norm": 30.375, "grad_norm_var": 5.566080729166667, "learning_rate": 0.0001, "loss": 7.3806, "loss/crossentropy": 2.05174797475338, "loss/hidden": 3.4125, "loss/jsd": 0.0, "loss/logits": 0.20412184661254287, "step": 5170 }, { "epoch": 0.1295, "grad_norm": 30.875, "grad_norm_var": 72.65201822916667, "learning_rate": 0.0001, "loss": 7.4596, "loss/crossentropy": 2.0945761643350123, "loss/hidden": 3.388671875, "loss/jsd": 0.0, "loss/logits": 0.1920377543196082, "step": 5180 }, { "epoch": 0.12975, "grad_norm": 34.25, "grad_norm_var": 1.8330729166666666, "learning_rate": 0.0001, "loss": 7.3953, "loss/crossentropy": 2.0848742216825484, "loss/hidden": 3.548046875, "loss/jsd": 0.0, "loss/logits": 0.22283064387738705, "step": 5190 }, { "epoch": 0.13, "grad_norm": 31.25, "grad_norm_var": 2.4244140625, "learning_rate": 0.0001, "loss": 7.5061, "loss/crossentropy": 1.997230054438114, "loss/hidden": 3.488671875, "loss/jsd": 0.0, "loss/logits": 0.198976163379848, "step": 5200 }, { "epoch": 0.13025, "grad_norm": 42.0, "grad_norm_var": 9.762239583333333, "learning_rate": 0.0001, "loss": 7.523, "loss/crossentropy": 2.169138702750206, "loss/hidden": 3.458984375, "loss/jsd": 0.0, "loss/logits": 0.2180183682590723, "step": 5210 }, { "epoch": 0.1305, "grad_norm": 27.75, "grad_norm_var": 13.330989583333333, "learning_rate": 0.0001, "loss": 7.4174, "loss/crossentropy": 2.0436717979609966, "loss/hidden": 3.4265625, "loss/jsd": 0.0, "loss/logits": 0.18874377477914095, "step": 5220 }, { "epoch": 0.13075, "grad_norm": 33.5, "grad_norm_var": 5.186393229166667, "learning_rate": 0.0001, "loss": 7.4735, "loss/crossentropy": 2.1061771392822264, "loss/hidden": 3.3125, "loss/jsd": 0.0, "loss/logits": 0.1841479053720832, "step": 5230 }, { "epoch": 0.131, "grad_norm": 28.25, "grad_norm_var": 3.480208333333333, "learning_rate": 0.0001, "loss": 7.4379, "loss/crossentropy": 1.9957973182201385, "loss/hidden": 3.46171875, "loss/jsd": 0.0, "loss/logits": 0.19976749327033758, "step": 5240 }, { "epoch": 0.13125, "grad_norm": 31.0, "grad_norm_var": 2.2249348958333335, "learning_rate": 0.0001, "loss": 7.445, "loss/crossentropy": 2.089694794267416, "loss/hidden": 3.344921875, "loss/jsd": 0.0, "loss/logits": 0.18123079631477595, "step": 5250 }, { "epoch": 0.1315, "grad_norm": 30.625, "grad_norm_var": 2.062239583333333, "learning_rate": 0.0001, "loss": 7.3525, "loss/crossentropy": 2.096596322953701, "loss/hidden": 3.3875, "loss/jsd": 0.0, "loss/logits": 0.17838086038827897, "step": 5260 }, { "epoch": 0.13175, "grad_norm": 27.75, "grad_norm_var": 2.6619140625, "learning_rate": 0.0001, "loss": 7.4042, "loss/crossentropy": 2.086874121427536, "loss/hidden": 3.419921875, "loss/jsd": 0.0, "loss/logits": 0.18623477015644313, "step": 5270 }, { "epoch": 0.132, "grad_norm": 31.125, "grad_norm_var": 1.8416015625, "learning_rate": 0.0001, "loss": 7.3634, "loss/crossentropy": 2.131754931807518, "loss/hidden": 3.416796875, "loss/jsd": 0.0, "loss/logits": 0.20106223467737436, "step": 5280 }, { "epoch": 0.13225, "grad_norm": 32.5, "grad_norm_var": 6.598372395833334, "learning_rate": 0.0001, "loss": 7.4969, "loss/crossentropy": 2.1548122704029082, "loss/hidden": 3.419921875, "loss/jsd": 0.0, "loss/logits": 0.20439809635281564, "step": 5290 }, { "epoch": 0.1325, "grad_norm": 28.125, "grad_norm_var": 5.252083333333333, "learning_rate": 0.0001, "loss": 7.4373, "loss/crossentropy": 2.1770398393273354, "loss/hidden": 3.40078125, "loss/jsd": 0.0, "loss/logits": 0.19656166546046733, "step": 5300 }, { "epoch": 0.13275, "grad_norm": 29.875, "grad_norm_var": 1.2473307291666667, "learning_rate": 0.0001, "loss": 7.4308, "loss/crossentropy": 2.152033807337284, "loss/hidden": 3.3046875, "loss/jsd": 0.0, "loss/logits": 0.18985964702442287, "step": 5310 }, { "epoch": 0.133, "grad_norm": 31.625, "grad_norm_var": 1.0041666666666667, "learning_rate": 0.0001, "loss": 7.4327, "loss/crossentropy": 2.087932828068733, "loss/hidden": 3.3390625, "loss/jsd": 0.0, "loss/logits": 0.184254783205688, "step": 5320 }, { "epoch": 0.13325, "grad_norm": 31.0, "grad_norm_var": 2.4344770491390623e+18, "learning_rate": 0.0001, "loss": 7.3366, "loss/crossentropy": 2.034941144287586, "loss/hidden": 3.38359375, "loss/jsd": 0.0, "loss/logits": 0.1904723599553108, "step": 5330 }, { "epoch": 0.1335, "grad_norm": 31.5, "grad_norm_var": 6.255989583333333, "learning_rate": 0.0001, "loss": 7.4492, "loss/crossentropy": 2.152811796963215, "loss/hidden": 3.385546875, "loss/jsd": 0.0, "loss/logits": 0.18841406889259815, "step": 5340 }, { "epoch": 0.13375, "grad_norm": 31.625, "grad_norm_var": 1.6822916666666667, "learning_rate": 0.0001, "loss": 7.465, "loss/crossentropy": 2.1877569228410723, "loss/hidden": 3.36796875, "loss/jsd": 0.0, "loss/logits": 0.19606791157275438, "step": 5350 }, { "epoch": 0.134, "grad_norm": 30.25, "grad_norm_var": 2.17890625, "learning_rate": 0.0001, "loss": 7.3975, "loss/crossentropy": 2.0353255167603495, "loss/hidden": 3.340234375, "loss/jsd": 0.0, "loss/logits": 0.1815076546743512, "step": 5360 }, { "epoch": 0.13425, "grad_norm": 31.0, "grad_norm_var": 12.4525390625, "learning_rate": 0.0001, "loss": 7.3462, "loss/crossentropy": 1.919140312820673, "loss/hidden": 3.370703125, "loss/jsd": 0.0, "loss/logits": 0.18229803508147596, "step": 5370 }, { "epoch": 0.1345, "grad_norm": 29.625, "grad_norm_var": 7.26640625, "learning_rate": 0.0001, "loss": 7.506, "loss/crossentropy": 2.11019846200943, "loss/hidden": 3.43046875, "loss/jsd": 0.0, "loss/logits": 0.19277678560465575, "step": 5380 }, { "epoch": 0.13475, "grad_norm": 32.0, "grad_norm_var": 0.9275390625, "learning_rate": 0.0001, "loss": 7.3668, "loss/crossentropy": 2.1108837127685547, "loss/hidden": 3.493359375, "loss/jsd": 0.0, "loss/logits": 0.20013203900307416, "step": 5390 }, { "epoch": 0.135, "grad_norm": 28.125, "grad_norm_var": 1.7330729166666667, "learning_rate": 0.0001, "loss": 7.5524, "loss/crossentropy": 2.16382010653615, "loss/hidden": 3.371484375, "loss/jsd": 0.0, "loss/logits": 0.1924815428443253, "step": 5400 }, { "epoch": 0.13525, "grad_norm": 30.25, "grad_norm_var": 2.5893229166666667, "learning_rate": 0.0001, "loss": 7.5393, "loss/crossentropy": 2.0622613176703455, "loss/hidden": 3.498828125, "loss/jsd": 0.0, "loss/logits": 0.20035731326788664, "step": 5410 }, { "epoch": 0.1355, "grad_norm": 29.625, "grad_norm_var": 2.8499348958333335, "learning_rate": 0.0001, "loss": 7.3466, "loss/crossentropy": 2.169532992690802, "loss/hidden": 3.381640625, "loss/jsd": 0.0, "loss/logits": 0.2085475005209446, "step": 5420 }, { "epoch": 0.13575, "grad_norm": 31.0, "grad_norm_var": 2.8212890625, "learning_rate": 0.0001, "loss": 7.4299, "loss/crossentropy": 2.056758251786232, "loss/hidden": 3.460546875, "loss/jsd": 0.0, "loss/logits": 0.19217969793826342, "step": 5430 }, { "epoch": 0.136, "grad_norm": 32.25, "grad_norm_var": 3.9749348958333335, "learning_rate": 0.0001, "loss": 7.4334, "loss/crossentropy": 2.1805212616920473, "loss/hidden": 3.437109375, "loss/jsd": 0.0, "loss/logits": 0.21980819348245859, "step": 5440 }, { "epoch": 0.13625, "grad_norm": 29.5, "grad_norm_var": 2.0218098958333335, "learning_rate": 0.0001, "loss": 7.5382, "loss/crossentropy": 2.1516773015260697, "loss/hidden": 3.50703125, "loss/jsd": 0.0, "loss/logits": 0.208776849322021, "step": 5450 }, { "epoch": 0.1365, "grad_norm": 31.375, "grad_norm_var": 2.082747395833333, "learning_rate": 0.0001, "loss": 7.4684, "loss/crossentropy": 2.1602507561445234, "loss/hidden": 3.366796875, "loss/jsd": 0.0, "loss/logits": 0.1842126866802573, "step": 5460 }, { "epoch": 0.13675, "grad_norm": 31.25, "grad_norm_var": 2.6197265625, "learning_rate": 0.0001, "loss": 7.3823, "loss/crossentropy": 2.081377077102661, "loss/hidden": 3.38359375, "loss/jsd": 0.0, "loss/logits": 0.1906685210764408, "step": 5470 }, { "epoch": 0.137, "grad_norm": 30.875, "grad_norm_var": 2.21875, "learning_rate": 0.0001, "loss": 7.4128, "loss/crossentropy": 2.138934540748596, "loss/hidden": 3.436328125, "loss/jsd": 0.0, "loss/logits": 0.18631890565156936, "step": 5480 }, { "epoch": 0.13725, "grad_norm": 31.0, "grad_norm_var": 3.958268229166667, "learning_rate": 0.0001, "loss": 7.568, "loss/crossentropy": 2.02208868265152, "loss/hidden": 3.43828125, "loss/jsd": 0.0, "loss/logits": 0.19863407909870148, "step": 5490 }, { "epoch": 0.1375, "grad_norm": 33.0, "grad_norm_var": 6.1775390625, "learning_rate": 0.0001, "loss": 7.3806, "loss/crossentropy": 2.0247954726219177, "loss/hidden": 3.408984375, "loss/jsd": 0.0, "loss/logits": 0.18538292730227113, "step": 5500 }, { "epoch": 0.13775, "grad_norm": 30.625, "grad_norm_var": 6.076041666666667, "learning_rate": 0.0001, "loss": 7.6241, "loss/crossentropy": 2.2269895624369385, "loss/hidden": 3.445703125, "loss/jsd": 0.0, "loss/logits": 0.197488261340186, "step": 5510 }, { "epoch": 0.138, "grad_norm": 30.25, "grad_norm_var": 4.1947265625, "learning_rate": 0.0001, "loss": 7.4968, "loss/crossentropy": 2.077942840754986, "loss/hidden": 3.420703125, "loss/jsd": 0.0, "loss/logits": 0.19135653134435415, "step": 5520 }, { "epoch": 0.13825, "grad_norm": 27.75, "grad_norm_var": 2.701041666666667, "learning_rate": 0.0001, "loss": 7.3842, "loss/crossentropy": 2.104434663057327, "loss/hidden": 3.37890625, "loss/jsd": 0.0, "loss/logits": 0.18928063409402968, "step": 5530 }, { "epoch": 0.1385, "grad_norm": 31.5, "grad_norm_var": 6.4087890625, "learning_rate": 0.0001, "loss": 7.443, "loss/crossentropy": 2.0420807294547556, "loss/hidden": 3.362890625, "loss/jsd": 0.0, "loss/logits": 0.18584198467433452, "step": 5540 }, { "epoch": 0.13875, "grad_norm": 32.5, "grad_norm_var": 4.7556640625, "learning_rate": 0.0001, "loss": 7.418, "loss/crossentropy": 2.0941856279969215, "loss/hidden": 3.311328125, "loss/jsd": 0.0, "loss/logits": 0.18290557386353612, "step": 5550 }, { "epoch": 0.139, "grad_norm": 34.0, "grad_norm_var": 3.0947916666666666, "learning_rate": 0.0001, "loss": 7.3594, "loss/crossentropy": 2.1482032746076585, "loss/hidden": 3.402734375, "loss/jsd": 0.0, "loss/logits": 0.19914243686944247, "step": 5560 }, { "epoch": 0.13925, "grad_norm": 31.875, "grad_norm_var": 4.449739583333334, "learning_rate": 0.0001, "loss": 7.5652, "loss/crossentropy": 2.150991679728031, "loss/hidden": 3.4984375, "loss/jsd": 0.0, "loss/logits": 0.20609580241143705, "step": 5570 }, { "epoch": 0.1395, "grad_norm": 30.125, "grad_norm_var": 8.527083333333334, "learning_rate": 0.0001, "loss": 7.3112, "loss/crossentropy": 2.1712302803993224, "loss/hidden": 3.38203125, "loss/jsd": 0.0, "loss/logits": 0.18877983894199132, "step": 5580 }, { "epoch": 0.13975, "grad_norm": 28.5, "grad_norm_var": 2.1197265625, "learning_rate": 0.0001, "loss": 7.4033, "loss/crossentropy": 2.1502134561538697, "loss/hidden": 3.4453125, "loss/jsd": 0.0, "loss/logits": 0.21474836114794016, "step": 5590 }, { "epoch": 0.14, "grad_norm": 30.25, "grad_norm_var": 3.6809895833333335, "learning_rate": 0.0001, "loss": 7.5089, "loss/crossentropy": 2.230164831876755, "loss/hidden": 3.409375, "loss/jsd": 0.0, "loss/logits": 0.2127472611144185, "step": 5600 }, { "epoch": 0.14025, "grad_norm": 30.625, "grad_norm_var": 52.13333333333333, "learning_rate": 0.0001, "loss": 7.5328, "loss/crossentropy": 2.1207681491971018, "loss/hidden": 3.459765625, "loss/jsd": 0.0, "loss/logits": 0.20428987089544534, "step": 5610 }, { "epoch": 0.1405, "grad_norm": 30.625, "grad_norm_var": 2.037239583333333, "learning_rate": 0.0001, "loss": 7.3972, "loss/crossentropy": 2.065328547358513, "loss/hidden": 3.43671875, "loss/jsd": 0.0, "loss/logits": 0.19245364069938659, "step": 5620 }, { "epoch": 0.14075, "grad_norm": 29.375, "grad_norm_var": 2.40625, "learning_rate": 0.0001, "loss": 7.2803, "loss/crossentropy": 2.0791175961494446, "loss/hidden": 3.380078125, "loss/jsd": 0.0, "loss/logits": 0.1857742078602314, "step": 5630 }, { "epoch": 0.141, "grad_norm": 29.0, "grad_norm_var": 2.687239583333333, "learning_rate": 0.0001, "loss": 7.3324, "loss/crossentropy": 2.054654690623283, "loss/hidden": 3.31328125, "loss/jsd": 0.0, "loss/logits": 0.18879605047404766, "step": 5640 }, { "epoch": 0.14125, "grad_norm": 27.625, "grad_norm_var": 3.06015625, "learning_rate": 0.0001, "loss": 7.4804, "loss/crossentropy": 2.163857588917017, "loss/hidden": 3.434375, "loss/jsd": 0.0, "loss/logits": 0.2018537001684308, "step": 5650 }, { "epoch": 0.1415, "grad_norm": 31.625, "grad_norm_var": 3.54140625, "learning_rate": 0.0001, "loss": 7.4337, "loss/crossentropy": 2.1230690620839594, "loss/hidden": 3.33046875, "loss/jsd": 0.0, "loss/logits": 0.18610329292714595, "step": 5660 }, { "epoch": 0.14175, "grad_norm": 30.0, "grad_norm_var": 2.0171223958333333, "learning_rate": 0.0001, "loss": 7.484, "loss/crossentropy": 2.1232656478881835, "loss/hidden": 3.306640625, "loss/jsd": 0.0, "loss/logits": 0.18209880087524652, "step": 5670 }, { "epoch": 0.142, "grad_norm": 30.625, "grad_norm_var": 3.6244140625, "learning_rate": 0.0001, "loss": 7.3601, "loss/crossentropy": 1.9925632011145353, "loss/hidden": 3.487109375, "loss/jsd": 0.0, "loss/logits": 0.18384792990982532, "step": 5680 }, { "epoch": 0.14225, "grad_norm": 28.875, "grad_norm_var": 4.595247395833334, "learning_rate": 0.0001, "loss": 7.3492, "loss/crossentropy": 1.9747695334255695, "loss/hidden": 3.4203125, "loss/jsd": 0.0, "loss/logits": 0.18710496351122857, "step": 5690 }, { "epoch": 0.1425, "grad_norm": 30.0, "grad_norm_var": 5.160872395833334, "learning_rate": 0.0001, "loss": 7.1869, "loss/crossentropy": 1.9229816131293773, "loss/hidden": 3.390234375, "loss/jsd": 0.0, "loss/logits": 0.1764959843829274, "step": 5700 }, { "epoch": 0.14275, "grad_norm": 31.375, "grad_norm_var": 1.1177083333333333, "learning_rate": 0.0001, "loss": 7.5353, "loss/crossentropy": 2.1759460479021073, "loss/hidden": 3.442578125, "loss/jsd": 0.0, "loss/logits": 0.2011772884055972, "step": 5710 }, { "epoch": 0.143, "grad_norm": 30.875, "grad_norm_var": 19.32265625, "learning_rate": 0.0001, "loss": 7.4364, "loss/crossentropy": 1.9983633741736413, "loss/hidden": 3.44453125, "loss/jsd": 0.0, "loss/logits": 0.2036839971318841, "step": 5720 }, { "epoch": 0.14325, "grad_norm": 31.75, "grad_norm_var": 6.330989583333333, "learning_rate": 0.0001, "loss": 7.3473, "loss/crossentropy": 2.2608693316578865, "loss/hidden": 3.395703125, "loss/jsd": 0.0, "loss/logits": 0.20173839703202248, "step": 5730 }, { "epoch": 0.1435, "grad_norm": 29.0, "grad_norm_var": 30.8306640625, "learning_rate": 0.0001, "loss": 7.4861, "loss/crossentropy": 2.191919285058975, "loss/hidden": 3.378125, "loss/jsd": 0.0, "loss/logits": 0.1848000530153513, "step": 5740 }, { "epoch": 0.14375, "grad_norm": 32.5, "grad_norm_var": 8.167643229166666, "learning_rate": 0.0001, "loss": 7.5179, "loss/crossentropy": 2.098912109434605, "loss/hidden": 3.544921875, "loss/jsd": 0.0, "loss/logits": 0.22364525627344847, "step": 5750 }, { "epoch": 0.144, "grad_norm": 30.5, "grad_norm_var": 2.5479166666666666, "learning_rate": 0.0001, "loss": 7.4241, "loss/crossentropy": 2.089163874089718, "loss/hidden": 3.39296875, "loss/jsd": 0.0, "loss/logits": 0.19125983892008663, "step": 5760 }, { "epoch": 0.14425, "grad_norm": 29.875, "grad_norm_var": 8.223958333333334, "learning_rate": 0.0001, "loss": 7.45, "loss/crossentropy": 2.2600366115570067, "loss/hidden": 3.444140625, "loss/jsd": 0.0, "loss/logits": 0.1984367400407791, "step": 5770 }, { "epoch": 0.1445, "grad_norm": 32.0, "grad_norm_var": 14.806705729166667, "learning_rate": 0.0001, "loss": 7.3632, "loss/crossentropy": 1.9510320864617825, "loss/hidden": 3.347265625, "loss/jsd": 0.0, "loss/logits": 0.18547183061018585, "step": 5780 }, { "epoch": 0.14475, "grad_norm": 30.0, "grad_norm_var": 9.655989583333334, "learning_rate": 0.0001, "loss": 7.5503, "loss/crossentropy": 2.143619356304407, "loss/hidden": 3.4, "loss/jsd": 0.0, "loss/logits": 0.20010631643235682, "step": 5790 }, { "epoch": 0.145, "grad_norm": 28.375, "grad_norm_var": 9.556184895833333, "learning_rate": 0.0001, "loss": 7.5076, "loss/crossentropy": 1.9316529139876366, "loss/hidden": 3.40546875, "loss/jsd": 0.0, "loss/logits": 0.18306834027171134, "step": 5800 }, { "epoch": 0.14525, "grad_norm": 37.25, "grad_norm_var": 10.718489583333334, "learning_rate": 0.0001, "loss": 7.5004, "loss/crossentropy": 2.136544609069824, "loss/hidden": 3.3453125, "loss/jsd": 0.0, "loss/logits": 0.20682645812630654, "step": 5810 }, { "epoch": 0.1455, "grad_norm": 34.75, "grad_norm_var": 9.395572916666667, "learning_rate": 0.0001, "loss": 7.4109, "loss/crossentropy": 2.0811544865369798, "loss/hidden": 3.346484375, "loss/jsd": 0.0, "loss/logits": 0.187607554346323, "step": 5820 }, { "epoch": 0.14575, "grad_norm": 30.125, "grad_norm_var": 11.476041666666667, "learning_rate": 0.0001, "loss": 7.4615, "loss/crossentropy": 2.2464685887098312, "loss/hidden": 3.419140625, "loss/jsd": 0.0, "loss/logits": 0.21834317222237587, "step": 5830 }, { "epoch": 0.146, "grad_norm": 31.875, "grad_norm_var": 8.106705729166666, "learning_rate": 0.0001, "loss": 7.379, "loss/crossentropy": 2.1494223892688753, "loss/hidden": 3.4875, "loss/jsd": 0.0, "loss/logits": 0.20599585752934219, "step": 5840 }, { "epoch": 0.14625, "grad_norm": 32.25, "grad_norm_var": 119.0541015625, "learning_rate": 0.0001, "loss": 7.4223, "loss/crossentropy": 2.013238602876663, "loss/hidden": 3.355859375, "loss/jsd": 0.0, "loss/logits": 0.17934355642646552, "step": 5850 }, { "epoch": 0.1465, "grad_norm": 55.5, "grad_norm_var": 40.619205729166666, "learning_rate": 0.0001, "loss": 7.4766, "loss/crossentropy": 2.1309464499354362, "loss/hidden": 3.40625, "loss/jsd": 0.0, "loss/logits": 0.1953899236395955, "step": 5860 }, { "epoch": 0.14675, "grad_norm": 31.125, "grad_norm_var": 51.764322916666664, "learning_rate": 0.0001, "loss": 7.5385, "loss/crossentropy": 2.203585295379162, "loss/hidden": 3.40625, "loss/jsd": 0.0, "loss/logits": 0.20035494081676006, "step": 5870 }, { "epoch": 0.147, "grad_norm": 30.125, "grad_norm_var": 8.2541015625, "learning_rate": 0.0001, "loss": 7.3861, "loss/crossentropy": 2.057890709489584, "loss/hidden": 3.3515625, "loss/jsd": 0.0, "loss/logits": 0.18680873457342387, "step": 5880 }, { "epoch": 0.14725, "grad_norm": 30.25, "grad_norm_var": 4.555989583333333, "learning_rate": 0.0001, "loss": 7.4283, "loss/crossentropy": 2.049139867722988, "loss/hidden": 3.369921875, "loss/jsd": 0.0, "loss/logits": 0.1856512013822794, "step": 5890 }, { "epoch": 0.1475, "grad_norm": 30.375, "grad_norm_var": 10.570768229166667, "learning_rate": 0.0001, "loss": 7.4651, "loss/crossentropy": 2.0553019613027574, "loss/hidden": 3.404296875, "loss/jsd": 0.0, "loss/logits": 0.18676785845309496, "step": 5900 }, { "epoch": 0.14775, "grad_norm": 30.125, "grad_norm_var": 14.59140625, "learning_rate": 0.0001, "loss": 7.4727, "loss/crossentropy": 2.0098409935832025, "loss/hidden": 3.48125, "loss/jsd": 0.0, "loss/logits": 0.20080684809945523, "step": 5910 }, { "epoch": 0.148, "grad_norm": 28.625, "grad_norm_var": 8.489322916666667, "learning_rate": 0.0001, "loss": 7.4203, "loss/crossentropy": 2.2615666806697847, "loss/hidden": 3.3, "loss/jsd": 0.0, "loss/logits": 0.18850413355976342, "step": 5920 }, { "epoch": 0.14825, "grad_norm": 30.0, "grad_norm_var": 3.6233723958333335, "learning_rate": 0.0001, "loss": 7.4441, "loss/crossentropy": 2.178256964683533, "loss/hidden": 3.29609375, "loss/jsd": 0.0, "loss/logits": 0.19248567353934048, "step": 5930 }, { "epoch": 0.1485, "grad_norm": 31.0, "grad_norm_var": 3.455208333333333, "learning_rate": 0.0001, "loss": 7.4573, "loss/crossentropy": 2.246034747362137, "loss/hidden": 3.45859375, "loss/jsd": 0.0, "loss/logits": 0.2096735591068864, "step": 5940 }, { "epoch": 0.14875, "grad_norm": 30.625, "grad_norm_var": 3.8494140625, "learning_rate": 0.0001, "loss": 7.4811, "loss/crossentropy": 2.180899788439274, "loss/hidden": 3.341796875, "loss/jsd": 0.0, "loss/logits": 0.19460927378386259, "step": 5950 }, { "epoch": 0.149, "grad_norm": 30.5, "grad_norm_var": 3.4385416666666666, "learning_rate": 0.0001, "loss": 7.3829, "loss/crossentropy": 2.258976912498474, "loss/hidden": 3.332421875, "loss/jsd": 0.0, "loss/logits": 0.19133044108748437, "step": 5960 }, { "epoch": 0.14925, "grad_norm": 29.0, "grad_norm_var": 13.80390625, "learning_rate": 0.0001, "loss": 7.5384, "loss/crossentropy": 2.012222741544247, "loss/hidden": 3.4640625, "loss/jsd": 0.0, "loss/logits": 0.19505210760980846, "step": 5970 }, { "epoch": 0.1495, "grad_norm": 27.875, "grad_norm_var": 12.9369140625, "learning_rate": 0.0001, "loss": 7.4033, "loss/crossentropy": 2.0392286255955696, "loss/hidden": 3.397265625, "loss/jsd": 0.0, "loss/logits": 0.1930427584797144, "step": 5980 }, { "epoch": 0.14975, "grad_norm": 28.25, "grad_norm_var": 18.174739583333334, "learning_rate": 0.0001, "loss": 7.399, "loss/crossentropy": 1.9029529005289079, "loss/hidden": 3.462109375, "loss/jsd": 0.0, "loss/logits": 0.198425155505538, "step": 5990 }, { "epoch": 0.15, "grad_norm": 31.875, "grad_norm_var": 3.0737770860662226e+18, "learning_rate": 0.0001, "loss": 7.4994, "loss/crossentropy": 1.8985859856009484, "loss/hidden": 3.4609375, "loss/jsd": 0.0, "loss/logits": 0.1951824951916933, "step": 6000 }, { "epoch": 0.15025, "grad_norm": 36.0, "grad_norm_var": 3.073777086665239e+18, "learning_rate": 0.0001, "loss": 7.4659, "loss/crossentropy": 2.097201645374298, "loss/hidden": 3.351171875, "loss/jsd": 0.0, "loss/logits": 0.18253911342471837, "step": 6010 }, { "epoch": 0.1505, "grad_norm": 27.875, "grad_norm_var": 6.801041666666666, "learning_rate": 0.0001, "loss": 7.2415, "loss/crossentropy": 2.0210610911250115, "loss/hidden": 3.484375, "loss/jsd": 0.0, "loss/logits": 0.197306059114635, "step": 6020 }, { "epoch": 0.15075, "grad_norm": 31.0, "grad_norm_var": 14.46640625, "learning_rate": 0.0001, "loss": 7.4519, "loss/crossentropy": 2.1985476523637772, "loss/hidden": 3.475, "loss/jsd": 0.0, "loss/logits": 0.20262509360909461, "step": 6030 }, { "epoch": 0.151, "grad_norm": 30.625, "grad_norm_var": 6.254622395833334, "learning_rate": 0.0001, "loss": 7.3353, "loss/crossentropy": 2.0093181416392327, "loss/hidden": 3.316015625, "loss/jsd": 0.0, "loss/logits": 0.17620250331237913, "step": 6040 }, { "epoch": 0.15125, "grad_norm": 31.625, "grad_norm_var": 56.4291015625, "learning_rate": 0.0001, "loss": 7.4034, "loss/crossentropy": 2.177773226797581, "loss/hidden": 3.41875, "loss/jsd": 0.0, "loss/logits": 0.20441538300365208, "step": 6050 }, { "epoch": 0.1515, "grad_norm": 26.75, "grad_norm_var": 55.889322916666664, "learning_rate": 0.0001, "loss": 7.3245, "loss/crossentropy": 2.1666259437799456, "loss/hidden": 3.392578125, "loss/jsd": 0.0, "loss/logits": 0.19311951845884323, "step": 6060 }, { "epoch": 0.15175, "grad_norm": 30.25, "grad_norm_var": 91.0103515625, "learning_rate": 0.0001, "loss": 7.368, "loss/crossentropy": 2.063462796807289, "loss/hidden": 3.373046875, "loss/jsd": 0.0, "loss/logits": 0.1834208857268095, "step": 6070 }, { "epoch": 0.152, "grad_norm": 30.5, "grad_norm_var": 18.1212890625, "learning_rate": 0.0001, "loss": 7.4335, "loss/crossentropy": 1.9907098844647408, "loss/hidden": 3.53671875, "loss/jsd": 0.0, "loss/logits": 0.20707368329167367, "step": 6080 }, { "epoch": 0.15225, "grad_norm": 38.25, "grad_norm_var": 11.470247395833333, "learning_rate": 0.0001, "loss": 7.3789, "loss/crossentropy": 2.083692157268524, "loss/hidden": 3.465625, "loss/jsd": 0.0, "loss/logits": 0.1846569798886776, "step": 6090 }, { "epoch": 0.1525, "grad_norm": 28.25, "grad_norm_var": 21.829622395833333, "learning_rate": 0.0001, "loss": 7.3767, "loss/crossentropy": 2.1113929279148578, "loss/hidden": 3.375, "loss/jsd": 0.0, "loss/logits": 0.1990992769598961, "step": 6100 }, { "epoch": 0.15275, "grad_norm": 33.75, "grad_norm_var": 20.676497395833334, "learning_rate": 0.0001, "loss": 7.339, "loss/crossentropy": 2.1296695113182067, "loss/hidden": 3.385546875, "loss/jsd": 0.0, "loss/logits": 0.1936045665293932, "step": 6110 }, { "epoch": 0.153, "grad_norm": 36.25, "grad_norm_var": 7.8166015625, "learning_rate": 0.0001, "loss": 7.5027, "loss/crossentropy": 2.1011226207017897, "loss/hidden": 3.471875, "loss/jsd": 0.0, "loss/logits": 0.20695240292698144, "step": 6120 }, { "epoch": 0.15325, "grad_norm": 30.625, "grad_norm_var": 2.1304840750224113e+18, "learning_rate": 0.0001, "loss": 7.506, "loss/crossentropy": 2.2427969723939896, "loss/hidden": 3.40625, "loss/jsd": 0.0, "loss/logits": 0.1966634625568986, "step": 6130 }, { "epoch": 0.1535, "grad_norm": 34.25, "grad_norm_var": 36.542643229166664, "learning_rate": 0.0001, "loss": 7.4413, "loss/crossentropy": 2.0855264641344546, "loss/hidden": 3.384765625, "loss/jsd": 0.0, "loss/logits": 0.19436217453330756, "step": 6140 }, { "epoch": 0.15375, "grad_norm": 32.75, "grad_norm_var": 10.153580729166666, "learning_rate": 0.0001, "loss": 7.3096, "loss/crossentropy": 2.0322439685463904, "loss/hidden": 3.3453125, "loss/jsd": 0.0, "loss/logits": 0.1753252800554037, "step": 6150 }, { "epoch": 0.154, "grad_norm": 31.0, "grad_norm_var": 10.216080729166666, "learning_rate": 0.0001, "loss": 7.2481, "loss/crossentropy": 2.074477408081293, "loss/hidden": 3.346875, "loss/jsd": 0.0, "loss/logits": 0.17578690703958272, "step": 6160 }, { "epoch": 0.15425, "grad_norm": 33.25, "grad_norm_var": 28.79765625, "learning_rate": 0.0001, "loss": 7.4403, "loss/crossentropy": 2.0863804474473, "loss/hidden": 3.431640625, "loss/jsd": 0.0, "loss/logits": 0.20699662044644357, "step": 6170 }, { "epoch": 0.1545, "grad_norm": 33.5, "grad_norm_var": 24.84375, "learning_rate": 0.0001, "loss": 7.4609, "loss/crossentropy": 2.0696858704090118, "loss/hidden": 3.458984375, "loss/jsd": 0.0, "loss/logits": 0.2128069180995226, "step": 6180 }, { "epoch": 0.15475, "grad_norm": 31.375, "grad_norm_var": 5.099739583333333, "learning_rate": 0.0001, "loss": 7.2575, "loss/crossentropy": 2.182169410586357, "loss/hidden": 3.31796875, "loss/jsd": 0.0, "loss/logits": 0.181897877715528, "step": 6190 }, { "epoch": 0.155, "grad_norm": 34.25, "grad_norm_var": 4.699934895833334, "learning_rate": 0.0001, "loss": 7.4975, "loss/crossentropy": 2.165008749067783, "loss/hidden": 3.492578125, "loss/jsd": 0.0, "loss/logits": 0.19800901636481286, "step": 6200 }, { "epoch": 0.15525, "grad_norm": 33.75, "grad_norm_var": 2.7738932291666667, "learning_rate": 0.0001, "loss": 7.3992, "loss/crossentropy": 2.0653695166110992, "loss/hidden": 3.406640625, "loss/jsd": 0.0, "loss/logits": 0.19180236533284187, "step": 6210 }, { "epoch": 0.1555, "grad_norm": 35.25, "grad_norm_var": 5.31015625, "learning_rate": 0.0001, "loss": 7.3638, "loss/crossentropy": 2.1244568385183813, "loss/hidden": 3.33125, "loss/jsd": 0.0, "loss/logits": 0.18238217020407319, "step": 6220 }, { "epoch": 0.15575, "grad_norm": 32.25, "grad_norm_var": 3.2817057291666667, "learning_rate": 0.0001, "loss": 7.5073, "loss/crossentropy": 2.1881898671388624, "loss/hidden": 3.498828125, "loss/jsd": 0.0, "loss/logits": 0.2045454490929842, "step": 6230 }, { "epoch": 0.156, "grad_norm": 28.25, "grad_norm_var": 2.6572265625, "learning_rate": 0.0001, "loss": 7.4609, "loss/crossentropy": 2.14600064009428, "loss/hidden": 3.4265625, "loss/jsd": 0.0, "loss/logits": 0.18945380430668593, "step": 6240 }, { "epoch": 0.15625, "grad_norm": 30.75, "grad_norm_var": 35.73118489583333, "learning_rate": 0.0001, "loss": 7.3786, "loss/crossentropy": 2.168429624289274, "loss/hidden": 3.296484375, "loss/jsd": 0.0, "loss/logits": 0.18439108245074748, "step": 6250 }, { "epoch": 0.1565, "grad_norm": 52.5, "grad_norm_var": 64.9962890625, "learning_rate": 0.0001, "loss": 7.3511, "loss/crossentropy": 2.1293379329144955, "loss/hidden": 3.414453125, "loss/jsd": 0.0, "loss/logits": 0.1828605517745018, "step": 6260 }, { "epoch": 0.15675, "grad_norm": 29.25, "grad_norm_var": 59.703125, "learning_rate": 0.0001, "loss": 7.3978, "loss/crossentropy": 1.8641120925545693, "loss/hidden": 3.430078125, "loss/jsd": 0.0, "loss/logits": 0.18577109538018705, "step": 6270 }, { "epoch": 0.157, "grad_norm": 28.75, "grad_norm_var": 32.1994140625, "learning_rate": 0.0001, "loss": 7.4066, "loss/crossentropy": 2.0997040398418902, "loss/hidden": 3.344921875, "loss/jsd": 0.0, "loss/logits": 0.18688563201576472, "step": 6280 }, { "epoch": 0.15725, "grad_norm": 31.375, "grad_norm_var": 17.302018229166666, "learning_rate": 0.0001, "loss": 7.4043, "loss/crossentropy": 1.9712626039981842, "loss/hidden": 3.45078125, "loss/jsd": 0.0, "loss/logits": 0.20054549565538765, "step": 6290 }, { "epoch": 0.1575, "grad_norm": 31.5, "grad_norm_var": 17.8431640625, "learning_rate": 0.0001, "loss": 7.4502, "loss/crossentropy": 2.0252815186977386, "loss/hidden": 3.3890625, "loss/jsd": 0.0, "loss/logits": 0.18488127905875446, "step": 6300 }, { "epoch": 0.15775, "grad_norm": 30.75, "grad_norm_var": 7.995572916666666, "learning_rate": 0.0001, "loss": 7.3829, "loss/crossentropy": 2.030302118510008, "loss/hidden": 3.400390625, "loss/jsd": 0.0, "loss/logits": 0.19101340658962726, "step": 6310 }, { "epoch": 0.158, "grad_norm": 30.125, "grad_norm_var": 5.805143229166666, "learning_rate": 0.0001, "loss": 7.3852, "loss/crossentropy": 1.9795936658978461, "loss/hidden": 3.45703125, "loss/jsd": 0.0, "loss/logits": 0.19110800279304385, "step": 6320 }, { "epoch": 0.15825, "grad_norm": 34.0, "grad_norm_var": 6.91640625, "learning_rate": 0.0001, "loss": 7.4417, "loss/crossentropy": 2.0620448149740698, "loss/hidden": 3.454296875, "loss/jsd": 0.0, "loss/logits": 0.194018579646945, "step": 6330 }, { "epoch": 0.1585, "grad_norm": 28.125, "grad_norm_var": 31.058268229166668, "learning_rate": 0.0001, "loss": 7.4142, "loss/crossentropy": 2.012200343608856, "loss/hidden": 3.4921875, "loss/jsd": 0.0, "loss/logits": 0.21260247621685266, "step": 6340 }, { "epoch": 0.15875, "grad_norm": 36.75, "grad_norm_var": 35.18118489583333, "learning_rate": 0.0001, "loss": 7.3776, "loss/crossentropy": 1.9757203698158263, "loss/hidden": 3.382421875, "loss/jsd": 0.0, "loss/logits": 0.200297892652452, "step": 6350 }, { "epoch": 0.159, "grad_norm": 31.125, "grad_norm_var": 17.764583333333334, "learning_rate": 0.0001, "loss": 7.4762, "loss/crossentropy": 2.195678301155567, "loss/hidden": 3.434375, "loss/jsd": 0.0, "loss/logits": 0.1989523505792022, "step": 6360 }, { "epoch": 0.15925, "grad_norm": 29.625, "grad_norm_var": 12.851041666666667, "learning_rate": 0.0001, "loss": 7.4661, "loss/crossentropy": 2.0537394002079963, "loss/hidden": 3.421875, "loss/jsd": 0.0, "loss/logits": 0.20311654023826123, "step": 6370 }, { "epoch": 0.1595, "grad_norm": 30.0, "grad_norm_var": 10.0994140625, "learning_rate": 0.0001, "loss": 7.2759, "loss/crossentropy": 2.02838040292263, "loss/hidden": 3.45859375, "loss/jsd": 0.0, "loss/logits": 0.19148585237562657, "step": 6380 }, { "epoch": 0.15975, "grad_norm": 39.0, "grad_norm_var": 2324.6707682291667, "learning_rate": 0.0001, "loss": 7.3973, "loss/crossentropy": 2.0951177358627318, "loss/hidden": 3.430859375, "loss/jsd": 0.0, "loss/logits": 0.2158473737537861, "step": 6390 }, { "epoch": 0.16, "grad_norm": 40.0, "grad_norm_var": 21.121809895833334, "learning_rate": 0.0001, "loss": 7.2877, "loss/crossentropy": 1.878954614698887, "loss/hidden": 3.390625, "loss/jsd": 0.0, "loss/logits": 0.18514612764120103, "step": 6400 }, { "epoch": 0.16025, "grad_norm": 33.5, "grad_norm_var": 23.1666015625, "learning_rate": 0.0001, "loss": 7.3598, "loss/crossentropy": 2.123918867111206, "loss/hidden": 3.3140625, "loss/jsd": 0.0, "loss/logits": 0.18728599287569522, "step": 6410 }, { "epoch": 0.1605, "grad_norm": 29.25, "grad_norm_var": 11.230143229166666, "learning_rate": 0.0001, "loss": 7.476, "loss/crossentropy": 2.168968527019024, "loss/hidden": 3.342578125, "loss/jsd": 0.0, "loss/logits": 0.20153266489505767, "step": 6420 }, { "epoch": 0.16075, "grad_norm": 30.0, "grad_norm_var": 90.8056640625, "learning_rate": 0.0001, "loss": 7.4289, "loss/crossentropy": 2.0426762118935584, "loss/hidden": 3.367578125, "loss/jsd": 0.0, "loss/logits": 0.19033107869327068, "step": 6430 }, { "epoch": 0.161, "grad_norm": 38.25, "grad_norm_var": 15.570247395833333, "learning_rate": 0.0001, "loss": 7.3992, "loss/crossentropy": 2.0535445332527162, "loss/hidden": 3.453515625, "loss/jsd": 0.0, "loss/logits": 0.19420330366119742, "step": 6440 }, { "epoch": 0.16125, "grad_norm": 45.5, "grad_norm_var": 30.326822916666668, "learning_rate": 0.0001, "loss": 7.3881, "loss/crossentropy": 1.949498599767685, "loss/hidden": 3.337890625, "loss/jsd": 0.0, "loss/logits": 0.18119702748954297, "step": 6450 }, { "epoch": 0.1615, "grad_norm": 30.625, "grad_norm_var": 96.64837239583333, "learning_rate": 0.0001, "loss": 7.432, "loss/crossentropy": 2.2534308552742006, "loss/hidden": 3.334375, "loss/jsd": 0.0, "loss/logits": 0.20010371711105107, "step": 6460 }, { "epoch": 0.16175, "grad_norm": 34.0, "grad_norm_var": 82.66015625, "learning_rate": 0.0001, "loss": 7.3555, "loss/crossentropy": 2.114310759305954, "loss/hidden": 3.387109375, "loss/jsd": 0.0, "loss/logits": 0.19822147954255342, "step": 6470 }, { "epoch": 0.162, "grad_norm": 29.875, "grad_norm_var": 8.4541015625, "learning_rate": 0.0001, "loss": 7.1893, "loss/crossentropy": 2.062894639372826, "loss/hidden": 3.348828125, "loss/jsd": 0.0, "loss/logits": 0.17771479729562997, "step": 6480 }, { "epoch": 0.16225, "grad_norm": 30.375, "grad_norm_var": 15.72265625, "learning_rate": 0.0001, "loss": 7.3665, "loss/crossentropy": 2.0109994761645793, "loss/hidden": 3.45625, "loss/jsd": 0.0, "loss/logits": 0.19815738410688938, "step": 6490 }, { "epoch": 0.1625, "grad_norm": 33.75, "grad_norm_var": 162.74680989583334, "learning_rate": 0.0001, "loss": 7.4105, "loss/crossentropy": 2.100720961391926, "loss/hidden": 3.26484375, "loss/jsd": 0.0, "loss/logits": 0.18080853056162596, "step": 6500 }, { "epoch": 0.16275, "grad_norm": 36.0, "grad_norm_var": 10.530143229166667, "learning_rate": 0.0001, "loss": 7.4993, "loss/crossentropy": 2.208073277771473, "loss/hidden": 3.3328125, "loss/jsd": 0.0, "loss/logits": 0.18481182418763636, "step": 6510 }, { "epoch": 0.163, "grad_norm": 37.0, "grad_norm_var": 8.981705729166666, "learning_rate": 0.0001, "loss": 7.5196, "loss/crossentropy": 2.2666310742497444, "loss/hidden": 3.40703125, "loss/jsd": 0.0, "loss/logits": 0.20527655016630889, "step": 6520 }, { "epoch": 0.16325, "grad_norm": 29.625, "grad_norm_var": 13.959830729166667, "learning_rate": 0.0001, "loss": 7.4239, "loss/crossentropy": 2.2184250116348267, "loss/hidden": 3.384765625, "loss/jsd": 0.0, "loss/logits": 0.19118925426155328, "step": 6530 }, { "epoch": 0.1635, "grad_norm": 29.375, "grad_norm_var": 8.820833333333333, "learning_rate": 0.0001, "loss": 7.3298, "loss/crossentropy": 2.119840921461582, "loss/hidden": 3.39296875, "loss/jsd": 0.0, "loss/logits": 0.20046985391527414, "step": 6540 }, { "epoch": 0.16375, "grad_norm": 31.375, "grad_norm_var": 3.1910807291666665, "learning_rate": 0.0001, "loss": 7.4507, "loss/crossentropy": 2.109931045770645, "loss/hidden": 3.387890625, "loss/jsd": 0.0, "loss/logits": 0.18326662238687277, "step": 6550 }, { "epoch": 0.164, "grad_norm": 35.25, "grad_norm_var": 8.6625, "learning_rate": 0.0001, "loss": 7.43, "loss/crossentropy": 2.090756069123745, "loss/hidden": 3.348046875, "loss/jsd": 0.0, "loss/logits": 0.1922204466536641, "step": 6560 }, { "epoch": 0.16425, "grad_norm": 30.625, "grad_norm_var": 14.567643229166666, "learning_rate": 0.0001, "loss": 7.1796, "loss/crossentropy": 1.9266313910484314, "loss/hidden": 3.465234375, "loss/jsd": 0.0, "loss/logits": 0.20681370329111814, "step": 6570 }, { "epoch": 0.1645, "grad_norm": 37.5, "grad_norm_var": 12.9447265625, "learning_rate": 0.0001, "loss": 7.5097, "loss/crossentropy": 1.875116103887558, "loss/hidden": 3.49921875, "loss/jsd": 0.0, "loss/logits": 0.2045787101611495, "step": 6580 }, { "epoch": 0.16475, "grad_norm": 29.875, "grad_norm_var": 5.706184895833333, "learning_rate": 0.0001, "loss": 7.329, "loss/crossentropy": 2.116366655379534, "loss/hidden": 3.4546875, "loss/jsd": 0.0, "loss/logits": 0.18577212654054165, "step": 6590 }, { "epoch": 0.165, "grad_norm": 33.75, "grad_norm_var": 2.3650390625, "learning_rate": 0.0001, "loss": 7.3765, "loss/crossentropy": 2.0037689693272114, "loss/hidden": 3.38125, "loss/jsd": 0.0, "loss/logits": 0.1971780034713447, "step": 6600 }, { "epoch": 0.16525, "grad_norm": 29.625, "grad_norm_var": 4.601497395833333, "learning_rate": 0.0001, "loss": 7.4001, "loss/crossentropy": 2.1523181863129137, "loss/hidden": 3.405859375, "loss/jsd": 0.0, "loss/logits": 0.192273567058146, "step": 6610 }, { "epoch": 0.1655, "grad_norm": 29.875, "grad_norm_var": 7.6525390625, "learning_rate": 0.0001, "loss": 7.3804, "loss/crossentropy": 2.0919234342873096, "loss/hidden": 3.39609375, "loss/jsd": 0.0, "loss/logits": 0.20757663380354643, "step": 6620 }, { "epoch": 0.16575, "grad_norm": 31.875, "grad_norm_var": 6.917708333333334, "learning_rate": 0.0001, "loss": 7.3889, "loss/crossentropy": 2.035097151994705, "loss/hidden": 3.31484375, "loss/jsd": 0.0, "loss/logits": 0.19357213731855155, "step": 6630 }, { "epoch": 0.166, "grad_norm": 28.125, "grad_norm_var": 2.4607245906905574e+18, "learning_rate": 0.0001, "loss": 7.5149, "loss/crossentropy": 2.114539227634668, "loss/hidden": 3.358984375, "loss/jsd": 0.0, "loss/logits": 0.19631449952721597, "step": 6640 }, { "epoch": 0.16625, "grad_norm": 28.375, "grad_norm_var": 2.4607245908931773e+18, "learning_rate": 0.0001, "loss": 7.3157, "loss/crossentropy": 2.0170676171779633, "loss/hidden": 3.376171875, "loss/jsd": 0.0, "loss/logits": 0.1893145913258195, "step": 6650 }, { "epoch": 0.1665, "grad_norm": 28.0, "grad_norm_var": 32.25807291666667, "learning_rate": 0.0001, "loss": 7.2947, "loss/crossentropy": 1.9412188947200775, "loss/hidden": 3.41953125, "loss/jsd": 0.0, "loss/logits": 0.18349691890180111, "step": 6660 }, { "epoch": 0.16675, "grad_norm": 30.25, "grad_norm_var": 48.2375, "learning_rate": 0.0001, "loss": 7.4086, "loss/crossentropy": 2.1157006829977036, "loss/hidden": 3.410546875, "loss/jsd": 0.0, "loss/logits": 0.1936411712318659, "step": 6670 }, { "epoch": 0.167, "grad_norm": 29.75, "grad_norm_var": 36.18333333333333, "learning_rate": 0.0001, "loss": 7.4096, "loss/crossentropy": 1.9384170174598694, "loss/hidden": 3.46015625, "loss/jsd": 0.0, "loss/logits": 0.1831628430634737, "step": 6680 }, { "epoch": 0.16725, "grad_norm": 30.0, "grad_norm_var": 62.6150390625, "learning_rate": 0.0001, "loss": 7.4604, "loss/crossentropy": 2.152873657643795, "loss/hidden": 3.421484375, "loss/jsd": 0.0, "loss/logits": 0.20049556214362382, "step": 6690 }, { "epoch": 0.1675, "grad_norm": 29.75, "grad_norm_var": 28.671875, "learning_rate": 0.0001, "loss": 7.5739, "loss/crossentropy": 2.1935679107904433, "loss/hidden": 3.359765625, "loss/jsd": 0.0, "loss/logits": 0.20188184324651956, "step": 6700 }, { "epoch": 0.16775, "grad_norm": 28.25, "grad_norm_var": 2.278580729166667, "learning_rate": 0.0001, "loss": 7.4709, "loss/crossentropy": 2.062030902504921, "loss/hidden": 3.4328125, "loss/jsd": 0.0, "loss/logits": 0.18874304387718438, "step": 6710 }, { "epoch": 0.168, "grad_norm": 29.125, "grad_norm_var": 3.3150390625, "learning_rate": 0.0001, "loss": 7.3655, "loss/crossentropy": 1.999978879839182, "loss/hidden": 3.3875, "loss/jsd": 0.0, "loss/logits": 0.18526637642644345, "step": 6720 }, { "epoch": 0.16825, "grad_norm": 35.25, "grad_norm_var": 6.237239583333333, "learning_rate": 0.0001, "loss": 7.4037, "loss/crossentropy": 2.0561595499515533, "loss/hidden": 3.41015625, "loss/jsd": 0.0, "loss/logits": 0.20046296287328005, "step": 6730 }, { "epoch": 0.1685, "grad_norm": 28.75, "grad_norm_var": 5.5619140625, "learning_rate": 0.0001, "loss": 7.368, "loss/crossentropy": 2.0664093092083933, "loss/hidden": 3.375, "loss/jsd": 0.0, "loss/logits": 0.1885912848636508, "step": 6740 }, { "epoch": 0.16875, "grad_norm": 30.875, "grad_norm_var": 5.843489583333334, "learning_rate": 0.0001, "loss": 7.4899, "loss/crossentropy": 2.1205774366855623, "loss/hidden": 3.491796875, "loss/jsd": 0.0, "loss/logits": 0.21412673257291318, "step": 6750 }, { "epoch": 0.169, "grad_norm": 32.0, "grad_norm_var": 6.3775390625, "learning_rate": 0.0001, "loss": 7.3708, "loss/crossentropy": 2.0314668610692026, "loss/hidden": 3.33203125, "loss/jsd": 0.0, "loss/logits": 0.18550706487149, "step": 6760 }, { "epoch": 0.16925, "grad_norm": 32.5, "grad_norm_var": 7.378059895833333, "learning_rate": 0.0001, "loss": 7.4055, "loss/crossentropy": 2.1428691864013674, "loss/hidden": 3.506640625, "loss/jsd": 0.0, "loss/logits": 0.21024896781891583, "step": 6770 }, { "epoch": 0.1695, "grad_norm": 31.375, "grad_norm_var": 3.9791666666666665, "learning_rate": 0.0001, "loss": 7.4444, "loss/crossentropy": 1.9500044576823712, "loss/hidden": 3.434375, "loss/jsd": 0.0, "loss/logits": 0.19028451843187213, "step": 6780 }, { "epoch": 0.16975, "grad_norm": 29.75, "grad_norm_var": 3.2853515625, "learning_rate": 0.0001, "loss": 7.4369, "loss/crossentropy": 2.1563921123743057, "loss/hidden": 3.3328125, "loss/jsd": 0.0, "loss/logits": 0.18290520180016756, "step": 6790 }, { "epoch": 0.17, "grad_norm": 38.0, "grad_norm_var": 8.0947265625, "learning_rate": 0.0001, "loss": 7.3756, "loss/crossentropy": 2.133736363053322, "loss/hidden": 3.346875, "loss/jsd": 0.0, "loss/logits": 0.1851572971791029, "step": 6800 }, { "epoch": 0.17025, "grad_norm": 34.75, "grad_norm_var": 14.757747395833333, "learning_rate": 0.0001, "loss": 7.2181, "loss/crossentropy": 2.054655596613884, "loss/hidden": 3.349609375, "loss/jsd": 0.0, "loss/logits": 0.18349520340561867, "step": 6810 }, { "epoch": 0.1705, "grad_norm": 30.375, "grad_norm_var": 5.17890625, "learning_rate": 0.0001, "loss": 7.303, "loss/crossentropy": 2.024763736128807, "loss/hidden": 3.429296875, "loss/jsd": 0.0, "loss/logits": 0.19044207576662303, "step": 6820 }, { "epoch": 0.17075, "grad_norm": 32.25, "grad_norm_var": 3.7955729166666665, "learning_rate": 0.0001, "loss": 7.4884, "loss/crossentropy": 1.9924081854522229, "loss/hidden": 3.49609375, "loss/jsd": 0.0, "loss/logits": 0.20656490996479987, "step": 6830 }, { "epoch": 0.171, "grad_norm": 30.875, "grad_norm_var": 3.215559895833333, "learning_rate": 0.0001, "loss": 7.4845, "loss/crossentropy": 2.1104799427092074, "loss/hidden": 3.334375, "loss/jsd": 0.0, "loss/logits": 0.18316805781796575, "step": 6840 }, { "epoch": 0.17125, "grad_norm": 31.625, "grad_norm_var": 25.610872395833333, "learning_rate": 0.0001, "loss": 7.3771, "loss/crossentropy": 2.02793128117919, "loss/hidden": 3.342578125, "loss/jsd": 0.0, "loss/logits": 0.17605492258444427, "step": 6850 }, { "epoch": 0.1715, "grad_norm": 29.375, "grad_norm_var": 34.992122395833334, "learning_rate": 0.0001, "loss": 7.5157, "loss/crossentropy": 2.1305345237255096, "loss/hidden": 3.436328125, "loss/jsd": 0.0, "loss/logits": 0.19113806802779437, "step": 6860 }, { "epoch": 0.17175, "grad_norm": 28.375, "grad_norm_var": 12.389322916666666, "learning_rate": 0.0001, "loss": 7.2752, "loss/crossentropy": 2.0788576349616052, "loss/hidden": 3.388671875, "loss/jsd": 0.0, "loss/logits": 0.19617441901937127, "step": 6870 }, { "epoch": 0.172, "grad_norm": 27.625, "grad_norm_var": 17.758072916666666, "learning_rate": 0.0001, "loss": 7.4366, "loss/crossentropy": 2.068412736058235, "loss/hidden": 3.355078125, "loss/jsd": 0.0, "loss/logits": 0.18466003462672234, "step": 6880 }, { "epoch": 0.17225, "grad_norm": 30.375, "grad_norm_var": 19.836393229166667, "learning_rate": 0.0001, "loss": 7.5047, "loss/crossentropy": 2.07881121635437, "loss/hidden": 3.380078125, "loss/jsd": 0.0, "loss/logits": 0.19641269743442535, "step": 6890 }, { "epoch": 0.1725, "grad_norm": 29.625, "grad_norm_var": 14.70625, "learning_rate": 0.0001, "loss": 7.4086, "loss/crossentropy": 1.84702168405056, "loss/hidden": 3.469140625, "loss/jsd": 0.0, "loss/logits": 0.1932983512058854, "step": 6900 }, { "epoch": 0.17275, "grad_norm": 31.875, "grad_norm_var": 31.006705729166665, "learning_rate": 0.0001, "loss": 7.3715, "loss/crossentropy": 2.099086304008961, "loss/hidden": 3.406640625, "loss/jsd": 0.0, "loss/logits": 0.20250021573156118, "step": 6910 }, { "epoch": 0.173, "grad_norm": 29.0, "grad_norm_var": 26.07265625, "learning_rate": 0.0001, "loss": 7.3343, "loss/crossentropy": 2.0957569405436516, "loss/hidden": 3.346875, "loss/jsd": 0.0, "loss/logits": 0.2010388659313321, "step": 6920 }, { "epoch": 0.17325, "grad_norm": 33.0, "grad_norm_var": 3.753059895833333, "learning_rate": 0.0001, "loss": 7.4937, "loss/crossentropy": 2.071177572757006, "loss/hidden": 3.445703125, "loss/jsd": 0.0, "loss/logits": 0.19133195597678423, "step": 6930 }, { "epoch": 0.1735, "grad_norm": 31.125, "grad_norm_var": 5.88515625, "learning_rate": 0.0001, "loss": 7.4757, "loss/crossentropy": 2.0803056344389916, "loss/hidden": 3.51875, "loss/jsd": 0.0, "loss/logits": 0.20995833892375232, "step": 6940 }, { "epoch": 0.17375, "grad_norm": 28.5, "grad_norm_var": 7.328059895833333, "learning_rate": 0.0001, "loss": 7.2293, "loss/crossentropy": 1.9285863403230905, "loss/hidden": 3.283203125, "loss/jsd": 0.0, "loss/logits": 0.1665677004493773, "step": 6950 }, { "epoch": 0.174, "grad_norm": 27.375, "grad_norm_var": 11.585872395833333, "learning_rate": 0.0001, "loss": 7.313, "loss/crossentropy": 2.0258478805422784, "loss/hidden": 3.342578125, "loss/jsd": 0.0, "loss/logits": 0.1821833540685475, "step": 6960 }, { "epoch": 0.17425, "grad_norm": 30.5, "grad_norm_var": 10.760416666666666, "learning_rate": 0.0001, "loss": 7.5413, "loss/crossentropy": 2.1308654129505156, "loss/hidden": 3.43203125, "loss/jsd": 0.0, "loss/logits": 0.21524183861911297, "step": 6970 }, { "epoch": 0.1745, "grad_norm": 29.625, "grad_norm_var": 4.138541666666667, "learning_rate": 0.0001, "loss": 7.4692, "loss/crossentropy": 2.1182237058877944, "loss/hidden": 3.362890625, "loss/jsd": 0.0, "loss/logits": 0.18946228343993426, "step": 6980 }, { "epoch": 0.17475, "grad_norm": 31.0, "grad_norm_var": 5.499934895833333, "learning_rate": 0.0001, "loss": 7.4658, "loss/crossentropy": 2.0863646306097507, "loss/hidden": 3.38984375, "loss/jsd": 0.0, "loss/logits": 0.2054815970361233, "step": 6990 }, { "epoch": 0.175, "grad_norm": 31.375, "grad_norm_var": 1.7067057291666667, "learning_rate": 0.0001, "loss": 7.3196, "loss/crossentropy": 2.1002516582608224, "loss/hidden": 3.40546875, "loss/jsd": 0.0, "loss/logits": 0.19273097421973945, "step": 7000 }, { "epoch": 0.17525, "grad_norm": 31.25, "grad_norm_var": 1.7999348958333334, "learning_rate": 0.0001, "loss": 7.3643, "loss/crossentropy": 2.015849883854389, "loss/hidden": 3.383984375, "loss/jsd": 0.0, "loss/logits": 0.18935495987534523, "step": 7010 }, { "epoch": 0.1755, "grad_norm": 28.875, "grad_norm_var": 3.3645833333333335, "learning_rate": 0.0001, "loss": 7.3973, "loss/crossentropy": 2.072261115908623, "loss/hidden": 3.482421875, "loss/jsd": 0.0, "loss/logits": 0.19815812185406684, "step": 7020 }, { "epoch": 0.17575, "grad_norm": 29.375, "grad_norm_var": 8.442708333333334, "learning_rate": 0.0001, "loss": 7.4193, "loss/crossentropy": 2.1367180705070496, "loss/hidden": 3.31328125, "loss/jsd": 0.0, "loss/logits": 0.1970324844121933, "step": 7030 }, { "epoch": 0.176, "grad_norm": 30.375, "grad_norm_var": 5.426822916666667, "learning_rate": 0.0001, "loss": 7.518, "loss/crossentropy": 2.210773140192032, "loss/hidden": 3.40390625, "loss/jsd": 0.0, "loss/logits": 0.1955376474186778, "step": 7040 }, { "epoch": 0.17625, "grad_norm": 30.125, "grad_norm_var": 3.1791015625, "learning_rate": 0.0001, "loss": 7.3883, "loss/crossentropy": 2.1343745410442354, "loss/hidden": 3.342578125, "loss/jsd": 0.0, "loss/logits": 0.19158909022808074, "step": 7050 }, { "epoch": 0.1765, "grad_norm": 29.25, "grad_norm_var": 4.112434895833333, "learning_rate": 0.0001, "loss": 7.4451, "loss/crossentropy": 1.9646480686962604, "loss/hidden": 3.465234375, "loss/jsd": 0.0, "loss/logits": 0.19925388041883707, "step": 7060 }, { "epoch": 0.17675, "grad_norm": 31.5, "grad_norm_var": 3.3275390625, "learning_rate": 0.0001, "loss": 7.4874, "loss/crossentropy": 2.1882633604109287, "loss/hidden": 3.373828125, "loss/jsd": 0.0, "loss/logits": 0.19836742132902146, "step": 7070 }, { "epoch": 0.177, "grad_norm": 34.75, "grad_norm_var": 5.7291015625, "learning_rate": 0.0001, "loss": 7.4907, "loss/crossentropy": 2.2362487465143204, "loss/hidden": 3.33203125, "loss/jsd": 0.0, "loss/logits": 0.19153916742652655, "step": 7080 }, { "epoch": 0.17725, "grad_norm": 29.5, "grad_norm_var": 5.002083333333333, "learning_rate": 0.0001, "loss": 7.4459, "loss/crossentropy": 2.164398466050625, "loss/hidden": 3.43828125, "loss/jsd": 0.0, "loss/logits": 0.20325577780604362, "step": 7090 }, { "epoch": 0.1775, "grad_norm": 32.25, "grad_norm_var": 21.282747395833333, "learning_rate": 0.0001, "loss": 7.4933, "loss/crossentropy": 2.1975876331329345, "loss/hidden": 3.455078125, "loss/jsd": 0.0, "loss/logits": 0.19638306740671396, "step": 7100 }, { "epoch": 0.17775, "grad_norm": 28.5, "grad_norm_var": 32.18020833333333, "learning_rate": 0.0001, "loss": 7.358, "loss/crossentropy": 1.9753169894218445, "loss/hidden": 3.416015625, "loss/jsd": 0.0, "loss/logits": 0.17774544414132834, "step": 7110 }, { "epoch": 0.178, "grad_norm": 30.0, "grad_norm_var": 11.808333333333334, "learning_rate": 0.0001, "loss": 7.4718, "loss/crossentropy": 2.0591190218925477, "loss/hidden": 3.4578125, "loss/jsd": 0.0, "loss/logits": 0.19963474106043577, "step": 7120 }, { "epoch": 0.17825, "grad_norm": 29.25, "grad_norm_var": 7.753580729166667, "learning_rate": 0.0001, "loss": 7.3979, "loss/crossentropy": 2.062809920310974, "loss/hidden": 3.437109375, "loss/jsd": 0.0, "loss/logits": 0.19096513669937848, "step": 7130 }, { "epoch": 0.1785, "grad_norm": 30.125, "grad_norm_var": 6.6025390625, "learning_rate": 0.0001, "loss": 7.3036, "loss/crossentropy": 2.0240534149110316, "loss/hidden": 3.4453125, "loss/jsd": 0.0, "loss/logits": 0.18496394343674183, "step": 7140 }, { "epoch": 0.17875, "grad_norm": 31.375, "grad_norm_var": 2.4942057291666666, "learning_rate": 0.0001, "loss": 7.4778, "loss/crossentropy": 2.124583348631859, "loss/hidden": 3.44921875, "loss/jsd": 0.0, "loss/logits": 0.2003519142046571, "step": 7150 }, { "epoch": 0.179, "grad_norm": 29.0, "grad_norm_var": 13.8978515625, "learning_rate": 0.0001, "loss": 7.3866, "loss/crossentropy": 2.035899819433689, "loss/hidden": 3.41484375, "loss/jsd": 0.0, "loss/logits": 0.18300745636224747, "step": 7160 }, { "epoch": 0.17925, "grad_norm": 28.125, "grad_norm_var": 18.375455729166667, "learning_rate": 0.0001, "loss": 7.3499, "loss/crossentropy": 2.086082286387682, "loss/hidden": 3.26875, "loss/jsd": 0.0, "loss/logits": 0.17294995756819845, "step": 7170 }, { "epoch": 0.1795, "grad_norm": 28.5, "grad_norm_var": 22.834830729166665, "learning_rate": 0.0001, "loss": 7.4265, "loss/crossentropy": 2.0105697728693483, "loss/hidden": 3.393359375, "loss/jsd": 0.0, "loss/logits": 0.19119318593293427, "step": 7180 }, { "epoch": 0.17975, "grad_norm": 33.0, "grad_norm_var": 19.51640625, "learning_rate": 0.0001, "loss": 7.4722, "loss/crossentropy": 2.1506593719124796, "loss/hidden": 3.387109375, "loss/jsd": 0.0, "loss/logits": 0.19607089888304471, "step": 7190 }, { "epoch": 0.18, "grad_norm": 31.5, "grad_norm_var": 9.854622395833333, "learning_rate": 0.0001, "loss": 7.3205, "loss/crossentropy": 2.0767677523195744, "loss/hidden": 3.436328125, "loss/jsd": 0.0, "loss/logits": 0.19086614530533552, "step": 7200 }, { "epoch": 0.18025, "grad_norm": 27.625, "grad_norm_var": 8.885416666666666, "learning_rate": 0.0001, "loss": 7.2908, "loss/crossentropy": 2.230179136991501, "loss/hidden": 3.26953125, "loss/jsd": 0.0, "loss/logits": 0.18500201255083085, "step": 7210 }, { "epoch": 0.1805, "grad_norm": 38.25, "grad_norm_var": 8.60625, "learning_rate": 0.0001, "loss": 7.4664, "loss/crossentropy": 2.192136238515377, "loss/hidden": 3.380859375, "loss/jsd": 0.0, "loss/logits": 0.1965922711417079, "step": 7220 }, { "epoch": 0.18075, "grad_norm": 33.0, "grad_norm_var": 7.258333333333334, "learning_rate": 0.0001, "loss": 7.3796, "loss/crossentropy": 2.010923378914595, "loss/hidden": 3.3609375, "loss/jsd": 0.0, "loss/logits": 0.19027266185730696, "step": 7230 }, { "epoch": 0.181, "grad_norm": 39.75, "grad_norm_var": 11.3353515625, "learning_rate": 0.0001, "loss": 7.5537, "loss/crossentropy": 2.055556283891201, "loss/hidden": 3.47421875, "loss/jsd": 0.0, "loss/logits": 0.19257053220644593, "step": 7240 }, { "epoch": 0.18125, "grad_norm": 27.5, "grad_norm_var": 14.424739583333333, "learning_rate": 0.0001, "loss": 7.4216, "loss/crossentropy": 2.136477355659008, "loss/hidden": 3.350390625, "loss/jsd": 0.0, "loss/logits": 0.20195687096565962, "step": 7250 }, { "epoch": 0.1815, "grad_norm": 30.125, "grad_norm_var": 9.70390625, "learning_rate": 0.0001, "loss": 7.4656, "loss/crossentropy": 2.0134367659687995, "loss/hidden": 3.523046875, "loss/jsd": 0.0, "loss/logits": 0.22354123163968326, "step": 7260 }, { "epoch": 0.18175, "grad_norm": 30.0, "grad_norm_var": 6.324739583333334, "learning_rate": 0.0001, "loss": 7.3959, "loss/crossentropy": 2.1245115220546724, "loss/hidden": 3.3609375, "loss/jsd": 0.0, "loss/logits": 0.19102834183722733, "step": 7270 }, { "epoch": 0.182, "grad_norm": 29.125, "grad_norm_var": 18.903580729166666, "learning_rate": 0.0001, "loss": 7.3761, "loss/crossentropy": 2.035867254436016, "loss/hidden": 3.373046875, "loss/jsd": 0.0, "loss/logits": 0.19426564145833253, "step": 7280 }, { "epoch": 0.18225, "grad_norm": 30.5, "grad_norm_var": 20.406705729166667, "learning_rate": 0.0001, "loss": 7.3884, "loss/crossentropy": 1.9805133253335954, "loss/hidden": 3.370703125, "loss/jsd": 0.0, "loss/logits": 0.19129701480269432, "step": 7290 }, { "epoch": 0.1825, "grad_norm": 31.375, "grad_norm_var": 5.842708333333333, "learning_rate": 0.0001, "loss": 7.3833, "loss/crossentropy": 2.0621849209070207, "loss/hidden": 3.417578125, "loss/jsd": 0.0, "loss/logits": 0.19919742476195096, "step": 7300 }, { "epoch": 0.18275, "grad_norm": 47.0, "grad_norm_var": 2.675771470406222e+18, "learning_rate": 0.0001, "loss": 7.2357, "loss/crossentropy": 2.1282688602805138, "loss/hidden": 3.298046875, "loss/jsd": 0.0, "loss/logits": 0.18128441767767073, "step": 7310 }, { "epoch": 0.183, "grad_norm": 29.25, "grad_norm_var": 28.158333333333335, "learning_rate": 0.0001, "loss": 7.4531, "loss/crossentropy": 2.1078659296035767, "loss/hidden": 3.580078125, "loss/jsd": 0.0, "loss/logits": 0.2171280149370432, "step": 7320 }, { "epoch": 0.18325, "grad_norm": 35.25, "grad_norm_var": 25.365625, "learning_rate": 0.0001, "loss": 7.3538, "loss/crossentropy": 2.200744313001633, "loss/hidden": 3.37421875, "loss/jsd": 0.0, "loss/logits": 0.19498275145888327, "step": 7330 }, { "epoch": 0.1835, "grad_norm": 28.375, "grad_norm_var": 23.859830729166667, "learning_rate": 0.0001, "loss": 7.3437, "loss/crossentropy": 1.9968993581831456, "loss/hidden": 3.3859375, "loss/jsd": 0.0, "loss/logits": 0.1875888810493052, "step": 7340 }, { "epoch": 0.18375, "grad_norm": 28.0, "grad_norm_var": 8.989518229166666, "learning_rate": 0.0001, "loss": 7.3984, "loss/crossentropy": 2.0748091831803324, "loss/hidden": 3.412109375, "loss/jsd": 0.0, "loss/logits": 0.1947355069220066, "step": 7350 }, { "epoch": 0.184, "grad_norm": 29.875, "grad_norm_var": 7.728125, "learning_rate": 0.0001, "loss": 7.3008, "loss/crossentropy": 2.067877373099327, "loss/hidden": 3.313671875, "loss/jsd": 0.0, "loss/logits": 0.18336500320583582, "step": 7360 }, { "epoch": 0.18425, "grad_norm": 29.25, "grad_norm_var": 13.189583333333333, "learning_rate": 0.0001, "loss": 7.4547, "loss/crossentropy": 2.152864509820938, "loss/hidden": 3.451953125, "loss/jsd": 0.0, "loss/logits": 0.2102669222280383, "step": 7370 }, { "epoch": 0.1845, "grad_norm": 28.5, "grad_norm_var": 8.7556640625, "learning_rate": 0.0001, "loss": 7.286, "loss/crossentropy": 1.9991149730980395, "loss/hidden": 3.327734375, "loss/jsd": 0.0, "loss/logits": 0.18364950213581324, "step": 7380 }, { "epoch": 0.18475, "grad_norm": 31.75, "grad_norm_var": 7.770572916666667, "learning_rate": 0.0001, "loss": 7.3546, "loss/crossentropy": 2.0513292245566843, "loss/hidden": 3.355078125, "loss/jsd": 0.0, "loss/logits": 0.1970413200557232, "step": 7390 }, { "epoch": 0.185, "grad_norm": 30.125, "grad_norm_var": 7.620572916666666, "learning_rate": 0.0001, "loss": 7.5116, "loss/crossentropy": 2.102216296643019, "loss/hidden": 3.51875, "loss/jsd": 0.0, "loss/logits": 0.21091360161080958, "step": 7400 }, { "epoch": 0.18525, "grad_norm": 32.75, "grad_norm_var": 9.191666666666666, "learning_rate": 0.0001, "loss": 7.3421, "loss/crossentropy": 1.9926266744732857, "loss/hidden": 3.455078125, "loss/jsd": 0.0, "loss/logits": 0.19832582902163268, "step": 7410 }, { "epoch": 0.1855, "grad_norm": 29.5, "grad_norm_var": 5.945833333333334, "learning_rate": 0.0001, "loss": 7.4563, "loss/crossentropy": 2.141331580281258, "loss/hidden": 3.408203125, "loss/jsd": 0.0, "loss/logits": 0.20020943265408278, "step": 7420 }, { "epoch": 0.18575, "grad_norm": 31.0, "grad_norm_var": 7.198372395833333, "learning_rate": 0.0001, "loss": 7.4227, "loss/crossentropy": 1.9694693490862847, "loss/hidden": 3.421484375, "loss/jsd": 0.0, "loss/logits": 0.18249646089971067, "step": 7430 }, { "epoch": 0.186, "grad_norm": 29.375, "grad_norm_var": 5.9697265625, "learning_rate": 0.0001, "loss": 7.4119, "loss/crossentropy": 2.1407265037298204, "loss/hidden": 3.327734375, "loss/jsd": 0.0, "loss/logits": 0.17720893137156962, "step": 7440 }, { "epoch": 0.18625, "grad_norm": 29.875, "grad_norm_var": 0.8072916666666666, "learning_rate": 0.0001, "loss": 7.3441, "loss/crossentropy": 2.124198019504547, "loss/hidden": 3.424609375, "loss/jsd": 0.0, "loss/logits": 0.1946978410705924, "step": 7450 }, { "epoch": 0.1865, "grad_norm": 32.75, "grad_norm_var": 1.9634765625, "learning_rate": 0.0001, "loss": 7.4652, "loss/crossentropy": 2.131994958221912, "loss/hidden": 3.419921875, "loss/jsd": 0.0, "loss/logits": 0.19461573138833047, "step": 7460 }, { "epoch": 0.18675, "grad_norm": 30.875, "grad_norm_var": 2.7280598958333333, "learning_rate": 0.0001, "loss": 7.3278, "loss/crossentropy": 2.117748848348856, "loss/hidden": 3.2578125, "loss/jsd": 0.0, "loss/logits": 0.18584235943853855, "step": 7470 }, { "epoch": 0.187, "grad_norm": 31.625, "grad_norm_var": 2.466080729166667, "learning_rate": 0.0001, "loss": 7.5817, "loss/crossentropy": 2.1364282086491584, "loss/hidden": 3.460546875, "loss/jsd": 0.0, "loss/logits": 0.21069204956293106, "step": 7480 }, { "epoch": 0.18725, "grad_norm": 31.25, "grad_norm_var": 3.012434895833333, "learning_rate": 0.0001, "loss": 7.5197, "loss/crossentropy": 2.0523312032222747, "loss/hidden": 3.50078125, "loss/jsd": 0.0, "loss/logits": 0.21221144162118435, "step": 7490 }, { "epoch": 0.1875, "grad_norm": 33.75, "grad_norm_var": 4.995768229166667, "learning_rate": 0.0001, "loss": 7.4317, "loss/crossentropy": 2.0852270901203154, "loss/hidden": 3.359765625, "loss/jsd": 0.0, "loss/logits": 0.17908250950276852, "step": 7500 }, { "epoch": 0.18775, "grad_norm": 30.875, "grad_norm_var": 2.4518229166666665, "learning_rate": 0.0001, "loss": 7.5444, "loss/crossentropy": 2.059383874386549, "loss/hidden": 3.436328125, "loss/jsd": 0.0, "loss/logits": 0.19440155941992998, "step": 7510 }, { "epoch": 0.188, "grad_norm": 27.625, "grad_norm_var": 2.851822916666667, "learning_rate": 0.0001, "loss": 7.5199, "loss/crossentropy": 2.1382876858115196, "loss/hidden": 3.4078125, "loss/jsd": 0.0, "loss/logits": 0.19888029601424934, "step": 7520 }, { "epoch": 0.18825, "grad_norm": 29.375, "grad_norm_var": 3.073372395833333, "learning_rate": 0.0001, "loss": 7.3012, "loss/crossentropy": 2.0625696159899234, "loss/hidden": 3.387109375, "loss/jsd": 0.0, "loss/logits": 0.18495072829537093, "step": 7530 }, { "epoch": 0.1885, "grad_norm": 32.0, "grad_norm_var": 2.2122395833333335, "learning_rate": 0.0001, "loss": 7.3643, "loss/crossentropy": 2.124967637658119, "loss/hidden": 3.3328125, "loss/jsd": 0.0, "loss/logits": 0.18375679664313793, "step": 7540 }, { "epoch": 0.18875, "grad_norm": 29.125, "grad_norm_var": 3.2681640625, "learning_rate": 0.0001, "loss": 7.351, "loss/crossentropy": 2.0680116668343542, "loss/hidden": 3.41875, "loss/jsd": 0.0, "loss/logits": 0.18827605471014977, "step": 7550 }, { "epoch": 0.189, "grad_norm": 31.75, "grad_norm_var": 1.5337890625, "learning_rate": 0.0001, "loss": 7.4207, "loss/crossentropy": 2.079096484184265, "loss/hidden": 3.443359375, "loss/jsd": 0.0, "loss/logits": 0.20160295628011227, "step": 7560 }, { "epoch": 0.18925, "grad_norm": 30.625, "grad_norm_var": 18.2197265625, "learning_rate": 0.0001, "loss": 7.4789, "loss/crossentropy": 2.058067685365677, "loss/hidden": 3.46640625, "loss/jsd": 0.0, "loss/logits": 0.21216327100992202, "step": 7570 }, { "epoch": 0.1895, "grad_norm": 34.25, "grad_norm_var": 14.415625, "learning_rate": 0.0001, "loss": 7.4987, "loss/crossentropy": 2.0142914205789566, "loss/hidden": 3.580078125, "loss/jsd": 0.0, "loss/logits": 0.20794902741909027, "step": 7580 }, { "epoch": 0.18975, "grad_norm": 30.5, "grad_norm_var": 1.9809895833333333, "learning_rate": 0.0001, "loss": 7.4585, "loss/crossentropy": 2.299562671780586, "loss/hidden": 3.347265625, "loss/jsd": 0.0, "loss/logits": 0.19880922697484493, "step": 7590 }, { "epoch": 0.19, "grad_norm": 30.875, "grad_norm_var": 15.101822916666666, "learning_rate": 0.0001, "loss": 7.3204, "loss/crossentropy": 2.1472302600741386, "loss/hidden": 3.384375, "loss/jsd": 0.0, "loss/logits": 0.18796155080199242, "step": 7600 }, { "epoch": 0.19025, "grad_norm": 29.0, "grad_norm_var": 2.5940733610451533e+18, "learning_rate": 0.0001, "loss": 7.5335, "loss/crossentropy": 2.1664531916379928, "loss/hidden": 3.3984375, "loss/jsd": 0.0, "loss/logits": 0.18874028734862805, "step": 7610 }, { "epoch": 0.1905, "grad_norm": 29.125, "grad_norm_var": 0.8843098958333333, "learning_rate": 0.0001, "loss": 7.4846, "loss/crossentropy": 2.0765088513493537, "loss/hidden": 3.34375, "loss/jsd": 0.0, "loss/logits": 0.18674521408975125, "step": 7620 }, { "epoch": 0.19075, "grad_norm": 27.25, "grad_norm_var": 4.381184895833333, "learning_rate": 0.0001, "loss": 7.3401, "loss/crossentropy": 1.7713539503514766, "loss/hidden": 3.515234375, "loss/jsd": 0.0, "loss/logits": 0.1749590938910842, "step": 7630 }, { "epoch": 0.191, "grad_norm": 33.5, "grad_norm_var": 5.26640625, "learning_rate": 0.0001, "loss": 7.4838, "loss/crossentropy": 1.922049730271101, "loss/hidden": 3.388671875, "loss/jsd": 0.0, "loss/logits": 0.18183694053441285, "step": 7640 }, { "epoch": 0.19125, "grad_norm": 30.5, "grad_norm_var": 4.030989583333334, "learning_rate": 0.0001, "loss": 7.3887, "loss/crossentropy": 2.094516658782959, "loss/hidden": 3.452734375, "loss/jsd": 0.0, "loss/logits": 0.18757299687713386, "step": 7650 }, { "epoch": 0.1915, "grad_norm": 32.0, "grad_norm_var": 1.5035807291666667, "learning_rate": 0.0001, "loss": 7.4445, "loss/crossentropy": 1.999229770898819, "loss/hidden": 3.516015625, "loss/jsd": 0.0, "loss/logits": 0.19523975029587745, "step": 7660 }, { "epoch": 0.19175, "grad_norm": 32.25, "grad_norm_var": 3.0275390625, "learning_rate": 0.0001, "loss": 7.4626, "loss/crossentropy": 2.0366951674222946, "loss/hidden": 3.42265625, "loss/jsd": 0.0, "loss/logits": 0.18243371956050397, "step": 7670 }, { "epoch": 0.192, "grad_norm": 32.75, "grad_norm_var": 2.5931640625, "learning_rate": 0.0001, "loss": 7.5274, "loss/crossentropy": 2.0489632681012155, "loss/hidden": 3.564453125, "loss/jsd": 0.0, "loss/logits": 0.21230401135981083, "step": 7680 }, { "epoch": 0.19225, "grad_norm": 32.75, "grad_norm_var": 3.738997395833333, "learning_rate": 0.0001, "loss": 7.4128, "loss/crossentropy": 2.0826203912496566, "loss/hidden": 3.373828125, "loss/jsd": 0.0, "loss/logits": 0.18644160348922015, "step": 7690 }, { "epoch": 0.1925, "grad_norm": 29.875, "grad_norm_var": 4.351041666666666, "learning_rate": 0.0001, "loss": 7.5195, "loss/crossentropy": 2.1674430795013904, "loss/hidden": 3.3640625, "loss/jsd": 0.0, "loss/logits": 0.19499621093273162, "step": 7700 }, { "epoch": 0.19275, "grad_norm": 28.625, "grad_norm_var": 4.939322916666667, "learning_rate": 0.0001, "loss": 7.4236, "loss/crossentropy": 2.092283549904823, "loss/hidden": 3.39453125, "loss/jsd": 0.0, "loss/logits": 0.19506504610180855, "step": 7710 }, { "epoch": 0.193, "grad_norm": 33.0, "grad_norm_var": 9.080208333333333, "learning_rate": 0.0001, "loss": 7.3501, "loss/crossentropy": 2.0526101261377336, "loss/hidden": 3.51328125, "loss/jsd": 0.0, "loss/logits": 0.19770189765840768, "step": 7720 }, { "epoch": 0.19325, "grad_norm": 29.0, "grad_norm_var": 9.731184895833334, "learning_rate": 0.0001, "loss": 7.4607, "loss/crossentropy": 2.05912861302495, "loss/hidden": 3.41328125, "loss/jsd": 0.0, "loss/logits": 0.19287334326654673, "step": 7730 }, { "epoch": 0.1935, "grad_norm": 30.5, "grad_norm_var": 1.8052083333333333, "learning_rate": 0.0001, "loss": 7.4243, "loss/crossentropy": 1.8983285859227181, "loss/hidden": 3.4203125, "loss/jsd": 0.0, "loss/logits": 0.18626301139593124, "step": 7740 }, { "epoch": 0.19375, "grad_norm": 40.75, "grad_norm_var": 9.1541015625, "learning_rate": 0.0001, "loss": 7.4332, "loss/crossentropy": 2.099681233614683, "loss/hidden": 3.40546875, "loss/jsd": 0.0, "loss/logits": 0.20556394904851913, "step": 7750 }, { "epoch": 0.194, "grad_norm": 37.0, "grad_norm_var": 12.584375, "learning_rate": 0.0001, "loss": 7.516, "loss/crossentropy": 2.0436215907335282, "loss/hidden": 3.317578125, "loss/jsd": 0.0, "loss/logits": 0.17505232142284513, "step": 7760 }, { "epoch": 0.19425, "grad_norm": 30.125, "grad_norm_var": 5.2681640625, "learning_rate": 0.0001, "loss": 7.5486, "loss/crossentropy": 2.0449838273227217, "loss/hidden": 3.46875, "loss/jsd": 0.0, "loss/logits": 0.19324074545875192, "step": 7770 }, { "epoch": 0.1945, "grad_norm": 30.125, "grad_norm_var": 1.4518229166666667, "learning_rate": 0.0001, "loss": 7.4052, "loss/crossentropy": 2.1020638972520826, "loss/hidden": 3.3234375, "loss/jsd": 0.0, "loss/logits": 0.1987349819391966, "step": 7780 }, { "epoch": 0.19475, "grad_norm": 32.25, "grad_norm_var": 1.525, "learning_rate": 0.0001, "loss": 7.3148, "loss/crossentropy": 2.0913542471826077, "loss/hidden": 3.38515625, "loss/jsd": 0.0, "loss/logits": 0.1900358498096466, "step": 7790 }, { "epoch": 0.195, "grad_norm": 29.875, "grad_norm_var": 1.2280598958333333, "learning_rate": 0.0001, "loss": 7.43, "loss/crossentropy": 1.9448820307850838, "loss/hidden": 3.423828125, "loss/jsd": 0.0, "loss/logits": 0.18228193083778024, "step": 7800 }, { "epoch": 0.19525, "grad_norm": 28.75, "grad_norm_var": 2.3791015625, "learning_rate": 0.0001, "loss": 7.4772, "loss/crossentropy": 2.0547610491514208, "loss/hidden": 3.459765625, "loss/jsd": 0.0, "loss/logits": 0.19370344914495946, "step": 7810 }, { "epoch": 0.1955, "grad_norm": 31.375, "grad_norm_var": 6.208072916666667, "learning_rate": 0.0001, "loss": 7.4448, "loss/crossentropy": 2.0798824220895766, "loss/hidden": 3.431640625, "loss/jsd": 0.0, "loss/logits": 0.18972196318209172, "step": 7820 }, { "epoch": 0.19575, "grad_norm": 29.5, "grad_norm_var": 6.248893229166667, "learning_rate": 0.0001, "loss": 7.5358, "loss/crossentropy": 2.2324195951223373, "loss/hidden": 3.4375, "loss/jsd": 0.0, "loss/logits": 0.2047037549316883, "step": 7830 }, { "epoch": 0.196, "grad_norm": 29.375, "grad_norm_var": 4.453059895833333, "learning_rate": 0.0001, "loss": 7.3114, "loss/crossentropy": 2.1020479179918765, "loss/hidden": 3.373046875, "loss/jsd": 0.0, "loss/logits": 0.19328910131007432, "step": 7840 }, { "epoch": 0.19625, "grad_norm": 33.5, "grad_norm_var": 590.0817057291666, "learning_rate": 0.0001, "loss": 7.4281, "loss/crossentropy": 2.0953447744250298, "loss/hidden": 3.374609375, "loss/jsd": 0.0, "loss/logits": 0.1854689259082079, "step": 7850 }, { "epoch": 0.1965, "grad_norm": 33.0, "grad_norm_var": 625.6192057291667, "learning_rate": 0.0001, "loss": 7.5283, "loss/crossentropy": 2.061315707862377, "loss/hidden": 3.429296875, "loss/jsd": 0.0, "loss/logits": 0.18506519980728625, "step": 7860 }, { "epoch": 0.19675, "grad_norm": 32.0, "grad_norm_var": 69.38430989583334, "learning_rate": 0.0001, "loss": 7.5314, "loss/crossentropy": 2.1605025470256805, "loss/hidden": 3.3890625, "loss/jsd": 0.0, "loss/logits": 0.20316088199615479, "step": 7870 }, { "epoch": 0.197, "grad_norm": 31.375, "grad_norm_var": 1.1067057291666667, "learning_rate": 0.0001, "loss": 7.4244, "loss/crossentropy": 2.1977868393063544, "loss/hidden": 3.430078125, "loss/jsd": 0.0, "loss/logits": 0.1992826245725155, "step": 7880 }, { "epoch": 0.19725, "grad_norm": 29.25, "grad_norm_var": 9.578059895833333, "learning_rate": 0.0001, "loss": 7.502, "loss/crossentropy": 2.0480964958667753, "loss/hidden": 3.636328125, "loss/jsd": 0.0, "loss/logits": 0.21483200527727603, "step": 7890 }, { "epoch": 0.1975, "grad_norm": 30.875, "grad_norm_var": 3.6372395833333333, "learning_rate": 0.0001, "loss": 7.548, "loss/crossentropy": 2.157261362671852, "loss/hidden": 3.484375, "loss/jsd": 0.0, "loss/logits": 0.2084518164396286, "step": 7900 }, { "epoch": 0.19775, "grad_norm": 28.5, "grad_norm_var": 2.095572916666667, "learning_rate": 0.0001, "loss": 7.3864, "loss/crossentropy": 2.1441849052906035, "loss/hidden": 3.414453125, "loss/jsd": 0.0, "loss/logits": 0.20142039898782968, "step": 7910 }, { "epoch": 0.198, "grad_norm": 37.5, "grad_norm_var": 16.170247395833332, "learning_rate": 0.0001, "loss": 7.429, "loss/crossentropy": 2.001983726769686, "loss/hidden": 3.448828125, "loss/jsd": 0.0, "loss/logits": 0.19066998092457652, "step": 7920 }, { "epoch": 0.19825, "grad_norm": 29.375, "grad_norm_var": 15.561393229166667, "learning_rate": 0.0001, "loss": 7.4093, "loss/crossentropy": 2.225774070620537, "loss/hidden": 3.36796875, "loss/jsd": 0.0, "loss/logits": 0.1993710033595562, "step": 7930 }, { "epoch": 0.1985, "grad_norm": 34.0, "grad_norm_var": 25.343489583333334, "learning_rate": 0.0001, "loss": 7.4932, "loss/crossentropy": 2.0083594918251038, "loss/hidden": 3.3453125, "loss/jsd": 0.0, "loss/logits": 0.19412665143609048, "step": 7940 }, { "epoch": 0.19875, "grad_norm": 31.625, "grad_norm_var": 23.877083333333335, "learning_rate": 0.0001, "loss": 7.441, "loss/crossentropy": 2.08128562271595, "loss/hidden": 3.412109375, "loss/jsd": 0.0, "loss/logits": 0.17889103144407273, "step": 7950 }, { "epoch": 0.199, "grad_norm": 27.875, "grad_norm_var": 1.5921223958333333, "learning_rate": 0.0001, "loss": 7.4251, "loss/crossentropy": 2.1019147261977196, "loss/hidden": 3.571484375, "loss/jsd": 0.0, "loss/logits": 0.2211546439677477, "step": 7960 }, { "epoch": 0.19925, "grad_norm": 32.0, "grad_norm_var": 3.3059895833333335, "learning_rate": 0.0001, "loss": 7.4213, "loss/crossentropy": 2.14247687458992, "loss/hidden": 3.420703125, "loss/jsd": 0.0, "loss/logits": 0.18870262056589127, "step": 7970 }, { "epoch": 0.1995, "grad_norm": 31.5, "grad_norm_var": 2.0947265625, "learning_rate": 0.0001, "loss": 7.5788, "loss/crossentropy": 2.1896591186523438, "loss/hidden": 3.479296875, "loss/jsd": 0.0, "loss/logits": 0.20883973222225904, "step": 7980 }, { "epoch": 0.19975, "grad_norm": 28.25, "grad_norm_var": 2.982291666666667, "learning_rate": 0.0001, "loss": 7.5217, "loss/crossentropy": 2.1884095311164855, "loss/hidden": 3.44296875, "loss/jsd": 0.0, "loss/logits": 0.2022842913866043, "step": 7990 }, { "epoch": 0.2, "grad_norm": 28.5, "grad_norm_var": 2.379622395833333, "learning_rate": 0.0001, "loss": 7.4975, "loss/crossentropy": 2.225523295998573, "loss/hidden": 3.4203125, "loss/jsd": 0.0, "loss/logits": 0.2032675376161933, "step": 8000 }, { "epoch": 0.20025, "grad_norm": 30.625, "grad_norm_var": 4.181705729166667, "learning_rate": 0.0001, "loss": 7.3874, "loss/crossentropy": 1.9566738605499268, "loss/hidden": 3.576953125, "loss/jsd": 0.0, "loss/logits": 0.19702311754226684, "step": 8010 }, { "epoch": 0.2005, "grad_norm": 32.75, "grad_norm_var": 6.3509765625, "learning_rate": 0.0001, "loss": 7.4528, "loss/crossentropy": 2.1517204724252226, "loss/hidden": 3.466015625, "loss/jsd": 0.0, "loss/logits": 0.2005010774359107, "step": 8020 }, { "epoch": 0.20075, "grad_norm": 30.875, "grad_norm_var": 5.44140625, "learning_rate": 0.0001, "loss": 7.5306, "loss/crossentropy": 2.0300184957683087, "loss/hidden": 3.375, "loss/jsd": 0.0, "loss/logits": 0.18887464031577111, "step": 8030 }, { "epoch": 0.201, "grad_norm": 31.75, "grad_norm_var": 3.1302083333333335, "learning_rate": 0.0001, "loss": 7.4025, "loss/crossentropy": 2.0889772072434427, "loss/hidden": 3.27109375, "loss/jsd": 0.0, "loss/logits": 0.17016669576987625, "step": 8040 }, { "epoch": 0.20125, "grad_norm": 27.125, "grad_norm_var": 94.78125, "learning_rate": 0.0001, "loss": 7.4379, "loss/crossentropy": 2.158484524488449, "loss/hidden": 3.410546875, "loss/jsd": 0.0, "loss/logits": 0.19672231934964657, "step": 8050 }, { "epoch": 0.2015, "grad_norm": 38.0, "grad_norm_var": 13.220572916666667, "learning_rate": 0.0001, "loss": 7.4314, "loss/crossentropy": 1.9623262777924537, "loss/hidden": 3.339453125, "loss/jsd": 0.0, "loss/logits": 0.1833876773715019, "step": 8060 }, { "epoch": 0.20175, "grad_norm": 29.875, "grad_norm_var": 7.858268229166667, "learning_rate": 0.0001, "loss": 7.4662, "loss/crossentropy": 2.2177498638629913, "loss/hidden": 3.383203125, "loss/jsd": 0.0, "loss/logits": 0.1954023003578186, "step": 8070 }, { "epoch": 0.202, "grad_norm": 28.875, "grad_norm_var": 7.627083333333333, "learning_rate": 0.0001, "loss": 7.4792, "loss/crossentropy": 2.1019868202507497, "loss/hidden": 3.44375, "loss/jsd": 0.0, "loss/logits": 0.1995641984976828, "step": 8080 }, { "epoch": 0.20225, "grad_norm": 44.75, "grad_norm_var": 20.4306640625, "learning_rate": 0.0001, "loss": 7.5664, "loss/crossentropy": 2.299755599349737, "loss/hidden": 3.3015625, "loss/jsd": 0.0, "loss/logits": 0.19075682908296585, "step": 8090 }, { "epoch": 0.2025, "grad_norm": 37.75, "grad_norm_var": 2.5671221292944763e+18, "learning_rate": 0.0001, "loss": 7.4526, "loss/crossentropy": 2.131952489167452, "loss/hidden": 3.475390625, "loss/jsd": 0.0, "loss/logits": 0.1955398641526699, "step": 8100 }, { "epoch": 0.20275, "grad_norm": 31.25, "grad_norm_var": 20.342643229166665, "learning_rate": 0.0001, "loss": 7.4687, "loss/crossentropy": 1.9825796701014042, "loss/hidden": 3.475, "loss/jsd": 0.0, "loss/logits": 0.20226136669516565, "step": 8110 }, { "epoch": 0.203, "grad_norm": 27.125, "grad_norm_var": 15.192643229166666, "learning_rate": 0.0001, "loss": 7.1604, "loss/crossentropy": 2.0296560734510423, "loss/hidden": 3.387109375, "loss/jsd": 0.0, "loss/logits": 0.1786259189248085, "step": 8120 }, { "epoch": 0.20325, "grad_norm": 31.0, "grad_norm_var": 7.1775390625, "learning_rate": 0.0001, "loss": 7.2815, "loss/crossentropy": 2.104996609687805, "loss/hidden": 3.405859375, "loss/jsd": 0.0, "loss/logits": 0.19307580199092628, "step": 8130 }, { "epoch": 0.2035, "grad_norm": 34.75, "grad_norm_var": 6.820572916666666, "learning_rate": 0.0001, "loss": 7.3774, "loss/crossentropy": 2.1900447353720667, "loss/hidden": 3.401953125, "loss/jsd": 0.0, "loss/logits": 0.20103423558175565, "step": 8140 }, { "epoch": 0.20375, "grad_norm": 31.0, "grad_norm_var": 5.48125, "learning_rate": 0.0001, "loss": 7.3628, "loss/crossentropy": 2.0671978294849396, "loss/hidden": 3.338671875, "loss/jsd": 0.0, "loss/logits": 0.18412660714238882, "step": 8150 }, { "epoch": 0.204, "grad_norm": 41.25, "grad_norm_var": 14.245572916666667, "learning_rate": 0.0001, "loss": 7.5547, "loss/crossentropy": 2.05537860840559, "loss/hidden": 3.48515625, "loss/jsd": 0.0, "loss/logits": 0.1820721985772252, "step": 8160 }, { "epoch": 0.20425, "grad_norm": 29.125, "grad_norm_var": 13.8625, "learning_rate": 0.0001, "loss": 7.345, "loss/crossentropy": 1.9336151838302613, "loss/hidden": 3.564453125, "loss/jsd": 0.0, "loss/logits": 0.20152895338833332, "step": 8170 }, { "epoch": 0.2045, "grad_norm": 28.125, "grad_norm_var": 7.096875, "learning_rate": 0.0001, "loss": 7.5005, "loss/crossentropy": 2.055295965075493, "loss/hidden": 3.35234375, "loss/jsd": 0.0, "loss/logits": 0.1865659100934863, "step": 8180 }, { "epoch": 0.20475, "grad_norm": 28.25, "grad_norm_var": 8.805989583333334, "learning_rate": 0.0001, "loss": 7.5324, "loss/crossentropy": 1.9976115971803665, "loss/hidden": 3.508203125, "loss/jsd": 0.0, "loss/logits": 0.2114253517240286, "step": 8190 }, { "epoch": 0.205, "grad_norm": 29.875, "grad_norm_var": 12.435416666666667, "learning_rate": 0.0001, "loss": 7.4232, "loss/crossentropy": 2.1122905567288397, "loss/hidden": 3.400390625, "loss/jsd": 0.0, "loss/logits": 0.21649520397186278, "step": 8200 }, { "epoch": 0.20525, "grad_norm": 28.125, "grad_norm_var": 10.055208333333333, "learning_rate": 0.0001, "loss": 7.4875, "loss/crossentropy": 2.1132961876690386, "loss/hidden": 3.47734375, "loss/jsd": 0.0, "loss/logits": 0.2026100393384695, "step": 8210 }, { "epoch": 0.2055, "grad_norm": 29.125, "grad_norm_var": 6.793489583333334, "learning_rate": 0.0001, "loss": 7.3834, "loss/crossentropy": 2.191230720281601, "loss/hidden": 3.402734375, "loss/jsd": 0.0, "loss/logits": 0.19885572660714387, "step": 8220 }, { "epoch": 0.20575, "grad_norm": 30.75, "grad_norm_var": 4.630208333333333, "learning_rate": 0.0001, "loss": 7.4544, "loss/crossentropy": 2.080083931982517, "loss/hidden": 3.474609375, "loss/jsd": 0.0, "loss/logits": 0.2282587742432952, "step": 8230 }, { "epoch": 0.206, "grad_norm": 31.375, "grad_norm_var": 11.458268229166666, "learning_rate": 0.0001, "loss": 7.449, "loss/crossentropy": 2.1384637162089346, "loss/hidden": 3.346484375, "loss/jsd": 0.0, "loss/logits": 0.1842938730493188, "step": 8240 }, { "epoch": 0.20625, "grad_norm": 31.875, "grad_norm_var": 1.7087890625, "learning_rate": 0.0001, "loss": 7.3946, "loss/crossentropy": 2.1355771869421005, "loss/hidden": 3.264453125, "loss/jsd": 0.0, "loss/logits": 0.18052869867533444, "step": 8250 }, { "epoch": 0.2065, "grad_norm": 31.75, "grad_norm_var": 13.0447265625, "learning_rate": 0.0001, "loss": 7.6316, "loss/crossentropy": 2.0203320410102608, "loss/hidden": 3.445703125, "loss/jsd": 0.0, "loss/logits": 0.192235934920609, "step": 8260 }, { "epoch": 0.20675, "grad_norm": 29.5, "grad_norm_var": 12.270247395833334, "learning_rate": 0.0001, "loss": 7.4572, "loss/crossentropy": 1.9869592547416688, "loss/hidden": 3.44140625, "loss/jsd": 0.0, "loss/logits": 0.202651490829885, "step": 8270 }, { "epoch": 0.207, "grad_norm": 30.125, "grad_norm_var": 1.4822916666666666, "learning_rate": 0.0001, "loss": 7.5227, "loss/crossentropy": 2.051181730628014, "loss/hidden": 3.43984375, "loss/jsd": 0.0, "loss/logits": 0.20994498692452906, "step": 8280 }, { "epoch": 0.20725, "grad_norm": 43.75, "grad_norm_var": 12.776822916666667, "learning_rate": 0.0001, "loss": 7.3664, "loss/crossentropy": 1.9618318520486355, "loss/hidden": 3.558984375, "loss/jsd": 0.0, "loss/logits": 0.19053993374109268, "step": 8290 }, { "epoch": 0.2075, "grad_norm": 30.5, "grad_norm_var": 14.92890625, "learning_rate": 0.0001, "loss": 7.318, "loss/crossentropy": 2.0114831268787383, "loss/hidden": 3.459375, "loss/jsd": 0.0, "loss/logits": 0.20329152811318635, "step": 8300 }, { "epoch": 0.20775, "grad_norm": 34.0, "grad_norm_var": 2.8869140625, "learning_rate": 0.0001, "loss": 7.5489, "loss/crossentropy": 2.1187786638736723, "loss/hidden": 3.512890625, "loss/jsd": 0.0, "loss/logits": 0.20839224103838205, "step": 8310 }, { "epoch": 0.208, "grad_norm": 27.875, "grad_norm_var": 2.565559895833333, "learning_rate": 0.0001, "loss": 7.3443, "loss/crossentropy": 2.1263110756874086, "loss/hidden": 3.32109375, "loss/jsd": 0.0, "loss/logits": 0.18627664018422366, "step": 8320 }, { "epoch": 0.20825, "grad_norm": 30.375, "grad_norm_var": 2.755989583333333, "learning_rate": 0.0001, "loss": 7.3857, "loss/crossentropy": 1.944861602783203, "loss/hidden": 3.468359375, "loss/jsd": 0.0, "loss/logits": 0.18570939563214778, "step": 8330 }, { "epoch": 0.2085, "grad_norm": 31.125, "grad_norm_var": 2.340625, "learning_rate": 0.0001, "loss": 7.5344, "loss/crossentropy": 2.1811724051833155, "loss/hidden": 3.41875, "loss/jsd": 0.0, "loss/logits": 0.19298948515206577, "step": 8340 }, { "epoch": 0.20875, "grad_norm": 31.5, "grad_norm_var": 1.56015625, "learning_rate": 0.0001, "loss": 7.3826, "loss/crossentropy": 2.152976579964161, "loss/hidden": 3.305859375, "loss/jsd": 0.0, "loss/logits": 0.190250195749104, "step": 8350 }, { "epoch": 0.209, "grad_norm": 28.875, "grad_norm_var": 1.3416015625, "learning_rate": 0.0001, "loss": 7.323, "loss/crossentropy": 2.2053099036216737, "loss/hidden": 3.344140625, "loss/jsd": 0.0, "loss/logits": 0.1929330924525857, "step": 8360 }, { "epoch": 0.20925, "grad_norm": 29.875, "grad_norm_var": 1.65625, "learning_rate": 0.0001, "loss": 7.4376, "loss/crossentropy": 2.011850906908512, "loss/hidden": 3.442578125, "loss/jsd": 0.0, "loss/logits": 0.20794765576720237, "step": 8370 }, { "epoch": 0.2095, "grad_norm": 29.25, "grad_norm_var": 2.381705729166667, "learning_rate": 0.0001, "loss": 7.4518, "loss/crossentropy": 2.284806078672409, "loss/hidden": 3.412109375, "loss/jsd": 0.0, "loss/logits": 0.2203810729086399, "step": 8380 }, { "epoch": 0.20975, "grad_norm": 43.25, "grad_norm_var": 17.695247395833334, "learning_rate": 0.0001, "loss": 7.418, "loss/crossentropy": 2.1161764934659004, "loss/hidden": 3.475390625, "loss/jsd": 0.0, "loss/logits": 0.1863908626139164, "step": 8390 }, { "epoch": 0.21, "grad_norm": 29.625, "grad_norm_var": 19.8697265625, "learning_rate": 0.0001, "loss": 7.4564, "loss/crossentropy": 2.0293585821986198, "loss/hidden": 3.373046875, "loss/jsd": 0.0, "loss/logits": 0.1884205201640725, "step": 8400 }, { "epoch": 0.21025, "grad_norm": 27.25, "grad_norm_var": 11.422330729166667, "learning_rate": 0.0001, "loss": 7.4317, "loss/crossentropy": 2.2351802065968513, "loss/hidden": 3.376953125, "loss/jsd": 0.0, "loss/logits": 0.20424611177295446, "step": 8410 }, { "epoch": 0.2105, "grad_norm": 30.125, "grad_norm_var": 10.734830729166667, "learning_rate": 0.0001, "loss": 7.3989, "loss/crossentropy": 2.1349810734391212, "loss/hidden": 3.3828125, "loss/jsd": 0.0, "loss/logits": 0.18979013338685036, "step": 8420 }, { "epoch": 0.21075, "grad_norm": 30.875, "grad_norm_var": 2.387955729166667, "learning_rate": 0.0001, "loss": 7.3957, "loss/crossentropy": 2.080636392533779, "loss/hidden": 3.371875, "loss/jsd": 0.0, "loss/logits": 0.18893024744465947, "step": 8430 }, { "epoch": 0.211, "grad_norm": 28.75, "grad_norm_var": 20.089518229166668, "learning_rate": 0.0001, "loss": 7.4847, "loss/crossentropy": 1.9267802774906158, "loss/hidden": 3.31484375, "loss/jsd": 0.0, "loss/logits": 0.18156335428357123, "step": 8440 }, { "epoch": 0.21125, "grad_norm": 29.125, "grad_norm_var": 2.2650390625, "learning_rate": 0.0001, "loss": 7.3839, "loss/crossentropy": 2.14048397988081, "loss/hidden": 3.419921875, "loss/jsd": 0.0, "loss/logits": 0.1889717074111104, "step": 8450 }, { "epoch": 0.2115, "grad_norm": 28.375, "grad_norm_var": 3.283124099188418e+18, "learning_rate": 0.0001, "loss": 7.4661, "loss/crossentropy": 2.1406930878758432, "loss/hidden": 3.699609375, "loss/jsd": 0.0, "loss/logits": 0.20904620084911585, "step": 8460 }, { "epoch": 0.21175, "grad_norm": 30.75, "grad_norm_var": 23.509830729166666, "learning_rate": 0.0001, "loss": 7.2867, "loss/crossentropy": 2.1153231114149094, "loss/hidden": 3.342578125, "loss/jsd": 0.0, "loss/logits": 0.18998019583523273, "step": 8470 }, { "epoch": 0.212, "grad_norm": 31.0, "grad_norm_var": 2.3139973958333333, "learning_rate": 0.0001, "loss": 7.3997, "loss/crossentropy": 2.169650764763355, "loss/hidden": 3.276953125, "loss/jsd": 0.0, "loss/logits": 0.17556187361478806, "step": 8480 }, { "epoch": 0.21225, "grad_norm": 29.625, "grad_norm_var": 2.312239583333333, "learning_rate": 0.0001, "loss": 7.4486, "loss/crossentropy": 2.128412726521492, "loss/hidden": 3.37734375, "loss/jsd": 0.0, "loss/logits": 0.1975807584822178, "step": 8490 }, { "epoch": 0.2125, "grad_norm": 30.75, "grad_norm_var": 2.903125, "learning_rate": 0.0001, "loss": 7.4526, "loss/crossentropy": 2.029564914107323, "loss/hidden": 3.408984375, "loss/jsd": 0.0, "loss/logits": 0.19610330546274782, "step": 8500 }, { "epoch": 0.21275, "grad_norm": 31.375, "grad_norm_var": 4.004622395833334, "learning_rate": 0.0001, "loss": 7.2845, "loss/crossentropy": 1.9631854377686977, "loss/hidden": 3.409765625, "loss/jsd": 0.0, "loss/logits": 0.1855375848710537, "step": 8510 }, { "epoch": 0.213, "grad_norm": 30.0, "grad_norm_var": 3.476822916666667, "learning_rate": 0.0001, "loss": 7.4124, "loss/crossentropy": 2.1494273841381073, "loss/hidden": 3.380078125, "loss/jsd": 0.0, "loss/logits": 0.19540442936122418, "step": 8520 }, { "epoch": 0.21325, "grad_norm": 31.625, "grad_norm_var": 0.9452473958333333, "learning_rate": 0.0001, "loss": 7.4659, "loss/crossentropy": 2.0508621491491796, "loss/hidden": 3.3078125, "loss/jsd": 0.0, "loss/logits": 0.18023168351501226, "step": 8530 }, { "epoch": 0.2135, "grad_norm": 31.25, "grad_norm_var": 2.5809895833333334, "learning_rate": 0.0001, "loss": 7.4522, "loss/crossentropy": 2.090715576708317, "loss/hidden": 3.3875, "loss/jsd": 0.0, "loss/logits": 0.18382459450513125, "step": 8540 }, { "epoch": 0.21375, "grad_norm": 28.75, "grad_norm_var": 2.986168000807314e+18, "learning_rate": 0.0001, "loss": 7.4917, "loss/crossentropy": 2.177123633027077, "loss/hidden": 3.359765625, "loss/jsd": 0.0, "loss/logits": 0.197673611715436, "step": 8550 }, { "epoch": 0.214, "grad_norm": 27.75, "grad_norm_var": 4.035872395833334, "learning_rate": 0.0001, "loss": 7.3008, "loss/crossentropy": 2.028589369356632, "loss/hidden": 3.383984375, "loss/jsd": 0.0, "loss/logits": 0.196718043461442, "step": 8560 }, { "epoch": 0.21425, "grad_norm": 30.5, "grad_norm_var": 4.758072916666666, "learning_rate": 0.0001, "loss": 7.3829, "loss/crossentropy": 2.02908306196332, "loss/hidden": 3.3703125, "loss/jsd": 0.0, "loss/logits": 0.1757409404963255, "step": 8570 }, { "epoch": 0.2145, "grad_norm": 30.875, "grad_norm_var": 1.9754557291666666, "learning_rate": 0.0001, "loss": 7.4107, "loss/crossentropy": 2.0411842301487924, "loss/hidden": 3.580078125, "loss/jsd": 0.0, "loss/logits": 0.2309743857011199, "step": 8580 }, { "epoch": 0.21475, "grad_norm": 30.0, "grad_norm_var": 25.7244140625, "learning_rate": 0.0001, "loss": 7.4038, "loss/crossentropy": 2.1026074662804604, "loss/hidden": 3.490234375, "loss/jsd": 0.0, "loss/logits": 0.202506691403687, "step": 8590 }, { "epoch": 0.215, "grad_norm": 28.625, "grad_norm_var": 3.386458333333333, "learning_rate": 0.0001, "loss": 7.3559, "loss/crossentropy": 2.1690615713596344, "loss/hidden": 3.388671875, "loss/jsd": 0.0, "loss/logits": 0.19095612335950135, "step": 8600 }, { "epoch": 0.21525, "grad_norm": 29.0, "grad_norm_var": 23.880989583333335, "learning_rate": 0.0001, "loss": 7.4164, "loss/crossentropy": 2.099227898567915, "loss/hidden": 3.376953125, "loss/jsd": 0.0, "loss/logits": 0.19162636022083462, "step": 8610 }, { "epoch": 0.2155, "grad_norm": 34.25, "grad_norm_var": 23.880208333333332, "learning_rate": 0.0001, "loss": 7.3725, "loss/crossentropy": 1.9689884655177594, "loss/hidden": 3.52265625, "loss/jsd": 0.0, "loss/logits": 0.1830376190133393, "step": 8620 }, { "epoch": 0.21575, "grad_norm": 29.875, "grad_norm_var": 2.77890625, "learning_rate": 0.0001, "loss": 7.4511, "loss/crossentropy": 2.0263702854514123, "loss/hidden": 3.351171875, "loss/jsd": 0.0, "loss/logits": 0.18029460608959197, "step": 8630 }, { "epoch": 0.216, "grad_norm": 32.0, "grad_norm_var": 23.001822916666665, "learning_rate": 0.0001, "loss": 7.3863, "loss/crossentropy": 1.9046964697539805, "loss/hidden": 3.44140625, "loss/jsd": 0.0, "loss/logits": 0.1935629203915596, "step": 8640 }, { "epoch": 0.21625, "grad_norm": 33.5, "grad_norm_var": 25.009375, "learning_rate": 0.0001, "loss": 7.3083, "loss/crossentropy": 2.129426471889019, "loss/hidden": 3.448046875, "loss/jsd": 0.0, "loss/logits": 0.20037918202579022, "step": 8650 }, { "epoch": 0.2165, "grad_norm": 28.375, "grad_norm_var": 12.242643229166667, "learning_rate": 0.0001, "loss": 7.4603, "loss/crossentropy": 2.2266604125499727, "loss/hidden": 3.33203125, "loss/jsd": 0.0, "loss/logits": 0.18952292017638683, "step": 8660 }, { "epoch": 0.21675, "grad_norm": 34.75, "grad_norm_var": 19.517708333333335, "learning_rate": 0.0001, "loss": 7.4031, "loss/crossentropy": 1.9756697475910188, "loss/hidden": 3.529296875, "loss/jsd": 0.0, "loss/logits": 0.20053059812635182, "step": 8670 }, { "epoch": 0.217, "grad_norm": 29.25, "grad_norm_var": 8.315625, "learning_rate": 0.0001, "loss": 7.4013, "loss/crossentropy": 2.13729098290205, "loss/hidden": 3.3859375, "loss/jsd": 0.0, "loss/logits": 0.19440573658794164, "step": 8680 }, { "epoch": 0.21725, "grad_norm": 31.5, "grad_norm_var": 1.9936848958333333, "learning_rate": 0.0001, "loss": 7.2982, "loss/crossentropy": 2.0935462579131126, "loss/hidden": 3.453125, "loss/jsd": 0.0, "loss/logits": 0.200434254668653, "step": 8690 }, { "epoch": 0.2175, "grad_norm": 31.625, "grad_norm_var": 26.66640625, "learning_rate": 0.0001, "loss": 7.4596, "loss/crossentropy": 2.0081637501716614, "loss/hidden": 3.42734375, "loss/jsd": 0.0, "loss/logits": 0.196201959438622, "step": 8700 }, { "epoch": 0.21775, "grad_norm": 28.125, "grad_norm_var": 1.869627142435242e+18, "learning_rate": 0.0001, "loss": 7.4726, "loss/crossentropy": 2.057238683104515, "loss/hidden": 3.372265625, "loss/jsd": 0.0, "loss/logits": 0.18527965154498816, "step": 8710 }, { "epoch": 0.218, "grad_norm": 30.25, "grad_norm_var": 4.806705729166667, "learning_rate": 0.0001, "loss": 7.424, "loss/crossentropy": 2.225848586857319, "loss/hidden": 3.4, "loss/jsd": 0.0, "loss/logits": 0.20839223694056272, "step": 8720 }, { "epoch": 0.21825, "grad_norm": 29.5, "grad_norm_var": 3.2572265625, "learning_rate": 0.0001, "loss": 7.3713, "loss/crossentropy": 1.9737806752324105, "loss/hidden": 3.413671875, "loss/jsd": 0.0, "loss/logits": 0.18166052605956792, "step": 8730 }, { "epoch": 0.2185, "grad_norm": 31.25, "grad_norm_var": 3.49765625, "learning_rate": 0.0001, "loss": 7.3192, "loss/crossentropy": 2.1625877559185027, "loss/hidden": 3.3765625, "loss/jsd": 0.0, "loss/logits": 0.196309875510633, "step": 8740 }, { "epoch": 0.21875, "grad_norm": 31.625, "grad_norm_var": 15.733333333333333, "learning_rate": 0.0001, "loss": 7.3994, "loss/crossentropy": 2.1306996777653695, "loss/hidden": 3.3328125, "loss/jsd": 0.0, "loss/logits": 0.17798179090023042, "step": 8750 }, { "epoch": 0.219, "grad_norm": 31.25, "grad_norm_var": 5.465625, "learning_rate": 0.0001, "loss": 7.4225, "loss/crossentropy": 2.168031161278486, "loss/hidden": 3.423046875, "loss/jsd": 0.0, "loss/logits": 0.19842574130743743, "step": 8760 }, { "epoch": 0.21925, "grad_norm": 29.5, "grad_norm_var": 3.457747395833333, "learning_rate": 0.0001, "loss": 7.4515, "loss/crossentropy": 2.081401216983795, "loss/hidden": 3.3875, "loss/jsd": 0.0, "loss/logits": 0.1922367751598358, "step": 8770 }, { "epoch": 0.2195, "grad_norm": 28.625, "grad_norm_var": 2.9389973958333333, "learning_rate": 0.0001, "loss": 7.4641, "loss/crossentropy": 1.9896476596593857, "loss/hidden": 3.367578125, "loss/jsd": 0.0, "loss/logits": 0.18900877684354783, "step": 8780 }, { "epoch": 0.21975, "grad_norm": 29.375, "grad_norm_var": 3.5931640625, "learning_rate": 0.0001, "loss": 7.5034, "loss/crossentropy": 2.131504286080599, "loss/hidden": 3.4234375, "loss/jsd": 0.0, "loss/logits": 0.1981994620524347, "step": 8790 }, { "epoch": 0.22, "grad_norm": 29.75, "grad_norm_var": 17.612955729166668, "learning_rate": 0.0001, "loss": 7.3602, "loss/crossentropy": 2.367118790745735, "loss/hidden": 3.357421875, "loss/jsd": 0.0, "loss/logits": 0.20705808699131012, "step": 8800 }, { "epoch": 0.22025, "grad_norm": 30.625, "grad_norm_var": 3.588997395833333, "learning_rate": 0.0001, "loss": 7.3512, "loss/crossentropy": 1.915165586769581, "loss/hidden": 3.41328125, "loss/jsd": 0.0, "loss/logits": 0.18030493911355733, "step": 8810 }, { "epoch": 0.2205, "grad_norm": 31.625, "grad_norm_var": 2.732291666666667, "learning_rate": 0.0001, "loss": 7.3832, "loss/crossentropy": 2.1191729307174683, "loss/hidden": 3.37734375, "loss/jsd": 0.0, "loss/logits": 0.20246538575738668, "step": 8820 }, { "epoch": 0.22075, "grad_norm": 32.0, "grad_norm_var": 2.034309895833333, "learning_rate": 0.0001, "loss": 7.4184, "loss/crossentropy": 2.280582541972399, "loss/hidden": 3.355078125, "loss/jsd": 0.0, "loss/logits": 0.1913912059739232, "step": 8830 }, { "epoch": 0.221, "grad_norm": 28.75, "grad_norm_var": 1.4629557291666666, "learning_rate": 0.0001, "loss": 7.5177, "loss/crossentropy": 2.07154730707407, "loss/hidden": 3.334765625, "loss/jsd": 0.0, "loss/logits": 0.18417379464954137, "step": 8840 }, { "epoch": 0.22125, "grad_norm": 29.25, "grad_norm_var": 2.0306640625, "learning_rate": 0.0001, "loss": 7.4098, "loss/crossentropy": 2.0918928742408753, "loss/hidden": 3.478515625, "loss/jsd": 0.0, "loss/logits": 0.21339783817529678, "step": 8850 }, { "epoch": 0.2215, "grad_norm": 34.75, "grad_norm_var": 2.4098307291666665, "learning_rate": 0.0001, "loss": 7.3907, "loss/crossentropy": 2.0262165658175944, "loss/hidden": 3.4796875, "loss/jsd": 0.0, "loss/logits": 0.1963033676147461, "step": 8860 }, { "epoch": 0.22175, "grad_norm": 29.625, "grad_norm_var": 3.1041015625, "learning_rate": 0.0001, "loss": 7.3643, "loss/crossentropy": 2.119324280321598, "loss/hidden": 3.421875, "loss/jsd": 0.0, "loss/logits": 0.19243048634380103, "step": 8870 }, { "epoch": 0.222, "grad_norm": 29.25, "grad_norm_var": 3.3593098958333334, "learning_rate": 0.0001, "loss": 7.335, "loss/crossentropy": 2.1042064100503923, "loss/hidden": 3.43671875, "loss/jsd": 0.0, "loss/logits": 0.2055317424237728, "step": 8880 }, { "epoch": 0.22225, "grad_norm": 29.0, "grad_norm_var": 4.35390625, "learning_rate": 0.0001, "loss": 7.3974, "loss/crossentropy": 2.110988216102123, "loss/hidden": 3.344140625, "loss/jsd": 0.0, "loss/logits": 0.18536690715700388, "step": 8890 }, { "epoch": 0.2225, "grad_norm": 30.0, "grad_norm_var": 6.014322916666667, "learning_rate": 0.0001, "loss": 7.4155, "loss/crossentropy": 2.033397987484932, "loss/hidden": 3.367578125, "loss/jsd": 0.0, "loss/logits": 0.19111265633255242, "step": 8900 }, { "epoch": 0.22275, "grad_norm": 32.25, "grad_norm_var": 4.747916666666667, "learning_rate": 0.0001, "loss": 7.4631, "loss/crossentropy": 2.090746468305588, "loss/hidden": 3.3609375, "loss/jsd": 0.0, "loss/logits": 0.20997797157615422, "step": 8910 }, { "epoch": 0.223, "grad_norm": 32.75, "grad_norm_var": 2.0247395833333335, "learning_rate": 0.0001, "loss": 7.3647, "loss/crossentropy": 2.107650229334831, "loss/hidden": 3.41171875, "loss/jsd": 0.0, "loss/logits": 0.18095682561397552, "step": 8920 }, { "epoch": 0.22325, "grad_norm": 33.0, "grad_norm_var": 4.983072916666667, "learning_rate": 0.0001, "loss": 7.4161, "loss/crossentropy": 2.1033721581101417, "loss/hidden": 3.394921875, "loss/jsd": 0.0, "loss/logits": 0.1837721960619092, "step": 8930 }, { "epoch": 0.2235, "grad_norm": 30.0, "grad_norm_var": 5.160872395833334, "learning_rate": 0.0001, "loss": 7.381, "loss/crossentropy": 2.2039036631584166, "loss/hidden": 3.41953125, "loss/jsd": 0.0, "loss/logits": 0.20040026511996983, "step": 8940 }, { "epoch": 0.22375, "grad_norm": 32.75, "grad_norm_var": 5.625455729166666, "learning_rate": 0.0001, "loss": 7.4581, "loss/crossentropy": 2.0015091970562935, "loss/hidden": 3.4046875, "loss/jsd": 0.0, "loss/logits": 0.1968998895958066, "step": 8950 }, { "epoch": 0.224, "grad_norm": 30.125, "grad_norm_var": 7.976497395833333, "learning_rate": 0.0001, "loss": 7.446, "loss/crossentropy": 2.1770635031163694, "loss/hidden": 3.290234375, "loss/jsd": 0.0, "loss/logits": 0.18164771795272827, "step": 8960 }, { "epoch": 0.22425, "grad_norm": 26.875, "grad_norm_var": 2.037239583333333, "learning_rate": 0.0001, "loss": 7.2677, "loss/crossentropy": 1.9846746385097505, "loss/hidden": 3.45859375, "loss/jsd": 0.0, "loss/logits": 0.19175144601613284, "step": 8970 }, { "epoch": 0.2245, "grad_norm": 30.25, "grad_norm_var": 2.8353515625, "learning_rate": 0.0001, "loss": 7.4645, "loss/crossentropy": 2.169223573803902, "loss/hidden": 3.33359375, "loss/jsd": 0.0, "loss/logits": 0.18991702441126107, "step": 8980 }, { "epoch": 0.22475, "grad_norm": 29.875, "grad_norm_var": 10.3228515625, "learning_rate": 0.0001, "loss": 7.4607, "loss/crossentropy": 2.1323930069804193, "loss/hidden": 3.348046875, "loss/jsd": 0.0, "loss/logits": 0.18631141390651465, "step": 8990 }, { "epoch": 0.225, "grad_norm": 29.625, "grad_norm_var": 11.431705729166667, "learning_rate": 0.0001, "loss": 7.4203, "loss/crossentropy": 2.1948125064373016, "loss/hidden": 3.420703125, "loss/jsd": 0.0, "loss/logits": 0.21075339019298553, "step": 9000 }, { "epoch": 0.22525, "grad_norm": 31.0, "grad_norm_var": 3.21875, "learning_rate": 0.0001, "loss": 7.3937, "loss/crossentropy": 2.061431697010994, "loss/hidden": 3.357421875, "loss/jsd": 0.0, "loss/logits": 0.20084240343421697, "step": 9010 }, { "epoch": 0.2255, "grad_norm": 30.0, "grad_norm_var": 9.7125, "learning_rate": 0.0001, "loss": 7.5364, "loss/crossentropy": 2.1422473564743996, "loss/hidden": 3.38359375, "loss/jsd": 0.0, "loss/logits": 0.20135180205106734, "step": 9020 }, { "epoch": 0.22575, "grad_norm": 29.0, "grad_norm_var": 10.320247395833333, "learning_rate": 0.0001, "loss": 7.3638, "loss/crossentropy": 2.064805781841278, "loss/hidden": 3.509375, "loss/jsd": 0.0, "loss/logits": 0.19638751186430453, "step": 9030 }, { "epoch": 0.226, "grad_norm": 29.0, "grad_norm_var": 7.7306640625, "learning_rate": 0.0001, "loss": 7.367, "loss/crossentropy": 2.0203323513269424, "loss/hidden": 3.351953125, "loss/jsd": 0.0, "loss/logits": 0.1730576554313302, "step": 9040 }, { "epoch": 0.22625, "grad_norm": 28.0, "grad_norm_var": 7.5291015625, "learning_rate": 0.0001, "loss": 7.4083, "loss/crossentropy": 2.1449467122554777, "loss/hidden": 3.428125, "loss/jsd": 0.0, "loss/logits": 0.20745128113776445, "step": 9050 }, { "epoch": 0.2265, "grad_norm": 29.625, "grad_norm_var": 10.059830729166666, "learning_rate": 0.0001, "loss": 7.3739, "loss/crossentropy": 2.277996188402176, "loss/hidden": 3.359765625, "loss/jsd": 0.0, "loss/logits": 0.1961175424978137, "step": 9060 }, { "epoch": 0.22675, "grad_norm": 29.75, "grad_norm_var": 2.9497395833333333, "learning_rate": 0.0001, "loss": 7.425, "loss/crossentropy": 2.128904873877764, "loss/hidden": 3.307421875, "loss/jsd": 0.0, "loss/logits": 0.1912422338500619, "step": 9070 }, { "epoch": 0.227, "grad_norm": 30.0, "grad_norm_var": 2.4291666666666667, "learning_rate": 0.0001, "loss": 7.3724, "loss/crossentropy": 1.8966167330741883, "loss/hidden": 3.315234375, "loss/jsd": 0.0, "loss/logits": 0.1772749178111553, "step": 9080 }, { "epoch": 0.22725, "grad_norm": 30.625, "grad_norm_var": 2.2955729166666665, "learning_rate": 0.0001, "loss": 7.4341, "loss/crossentropy": 1.9993775576353072, "loss/hidden": 3.409375, "loss/jsd": 0.0, "loss/logits": 0.17548400331288577, "step": 9090 }, { "epoch": 0.2275, "grad_norm": 30.125, "grad_norm_var": 2.3212890625, "learning_rate": 0.0001, "loss": 7.4512, "loss/crossentropy": 2.1553252935409546, "loss/hidden": 3.41953125, "loss/jsd": 0.0, "loss/logits": 0.1904754728078842, "step": 9100 }, { "epoch": 0.22775, "grad_norm": 31.875, "grad_norm_var": 1.8264973958333333, "learning_rate": 0.0001, "loss": 7.4299, "loss/crossentropy": 2.0791067980229854, "loss/hidden": 3.384765625, "loss/jsd": 0.0, "loss/logits": 0.18264174591749907, "step": 9110 }, { "epoch": 0.228, "grad_norm": 30.625, "grad_norm_var": 8.670572916666666, "learning_rate": 0.0001, "loss": 7.3621, "loss/crossentropy": 2.2495081633329392, "loss/hidden": 3.3703125, "loss/jsd": 0.0, "loss/logits": 0.19295338317751884, "step": 9120 }, { "epoch": 0.22825, "grad_norm": 34.25, "grad_norm_var": 9.628580729166666, "learning_rate": 0.0001, "loss": 7.4069, "loss/crossentropy": 2.0221784450113773, "loss/hidden": 3.43046875, "loss/jsd": 0.0, "loss/logits": 0.18131311442703008, "step": 9130 }, { "epoch": 0.2285, "grad_norm": 31.375, "grad_norm_var": 3.8372395833333335, "learning_rate": 0.0001, "loss": 7.3788, "loss/crossentropy": 2.096472094208002, "loss/hidden": 3.533984375, "loss/jsd": 0.0, "loss/logits": 0.19181215222924947, "step": 9140 }, { "epoch": 0.22875, "grad_norm": 32.75, "grad_norm_var": 2.9369140625, "learning_rate": 0.0001, "loss": 7.4625, "loss/crossentropy": 2.161876367032528, "loss/hidden": 3.39765625, "loss/jsd": 0.0, "loss/logits": 0.19645992666482925, "step": 9150 }, { "epoch": 0.229, "grad_norm": 36.5, "grad_norm_var": 13.144791666666666, "learning_rate": 0.0001, "loss": 7.3883, "loss/crossentropy": 1.870260328054428, "loss/hidden": 3.421875, "loss/jsd": 0.0, "loss/logits": 0.19089705124497414, "step": 9160 }, { "epoch": 0.22925, "grad_norm": 30.125, "grad_norm_var": 11.746809895833334, "learning_rate": 0.0001, "loss": 7.3778, "loss/crossentropy": 2.304895442724228, "loss/hidden": 3.30390625, "loss/jsd": 0.0, "loss/logits": 0.19963221047073604, "step": 9170 }, { "epoch": 0.2295, "grad_norm": 30.875, "grad_norm_var": 2.64839803006287e+18, "learning_rate": 0.0001, "loss": 7.4899, "loss/crossentropy": 2.1439118653535845, "loss/hidden": 3.46484375, "loss/jsd": 0.0, "loss/logits": 0.20680125001817942, "step": 9180 }, { "epoch": 0.22975, "grad_norm": 29.625, "grad_norm_var": 16.839518229166668, "learning_rate": 0.0001, "loss": 7.3153, "loss/crossentropy": 1.9939407154917717, "loss/hidden": 3.4125, "loss/jsd": 0.0, "loss/logits": 0.19113040501251816, "step": 9190 }, { "epoch": 0.23, "grad_norm": 30.125, "grad_norm_var": 1.8309895833333334, "learning_rate": 0.0001, "loss": 7.5357, "loss/crossentropy": 2.088300883769989, "loss/hidden": 3.476953125, "loss/jsd": 0.0, "loss/logits": 0.19538584928959607, "step": 9200 }, { "epoch": 0.23025, "grad_norm": 30.75, "grad_norm_var": 1.66640625, "learning_rate": 0.0001, "loss": 7.3255, "loss/crossentropy": 2.0176690459251403, "loss/hidden": 3.361328125, "loss/jsd": 0.0, "loss/logits": 0.1823873495683074, "step": 9210 }, { "epoch": 0.2305, "grad_norm": 32.75, "grad_norm_var": 4.837955729166667, "learning_rate": 0.0001, "loss": 7.3334, "loss/crossentropy": 2.061754436790943, "loss/hidden": 3.394921875, "loss/jsd": 0.0, "loss/logits": 0.18769590836018324, "step": 9220 }, { "epoch": 0.23075, "grad_norm": 31.75, "grad_norm_var": 4.683268229166667, "learning_rate": 0.0001, "loss": 7.3932, "loss/crossentropy": 2.0443666532635687, "loss/hidden": 3.40390625, "loss/jsd": 0.0, "loss/logits": 0.19146692994982004, "step": 9230 }, { "epoch": 0.231, "grad_norm": 33.25, "grad_norm_var": 2.594073359575469e+18, "learning_rate": 0.0001, "loss": 7.5992, "loss/crossentropy": 2.189889648556709, "loss/hidden": 3.344921875, "loss/jsd": 0.0, "loss/logits": 0.19348510541021824, "step": 9240 }, { "epoch": 0.23125, "grad_norm": 29.125, "grad_norm_var": 2.594073359702976e+18, "learning_rate": 0.0001, "loss": 7.4217, "loss/crossentropy": 2.0103170931339265, "loss/hidden": 3.44140625, "loss/jsd": 0.0, "loss/logits": 0.19076041504740715, "step": 9250 }, { "epoch": 0.2315, "grad_norm": 31.375, "grad_norm_var": 13.5134765625, "learning_rate": 0.0001, "loss": 7.3004, "loss/crossentropy": 2.0597189858555796, "loss/hidden": 3.3421875, "loss/jsd": 0.0, "loss/logits": 0.18948603458702565, "step": 9260 }, { "epoch": 0.23175, "grad_norm": 31.625, "grad_norm_var": 13.402083333333334, "learning_rate": 0.0001, "loss": 7.3946, "loss/crossentropy": 2.0123729363083838, "loss/hidden": 3.3828125, "loss/jsd": 0.0, "loss/logits": 0.1885578565299511, "step": 9270 }, { "epoch": 0.232, "grad_norm": 29.875, "grad_norm_var": 5.879622395833334, "learning_rate": 0.0001, "loss": 7.1578, "loss/crossentropy": 2.2501363843679427, "loss/hidden": 3.286328125, "loss/jsd": 0.0, "loss/logits": 0.19268405642360448, "step": 9280 }, { "epoch": 0.23225, "grad_norm": 30.25, "grad_norm_var": 16.982291666666665, "learning_rate": 0.0001, "loss": 7.3481, "loss/crossentropy": 2.076053886115551, "loss/hidden": 3.571875, "loss/jsd": 0.0, "loss/logits": 0.21077420487999915, "step": 9290 }, { "epoch": 0.2325, "grad_norm": 29.5, "grad_norm_var": 21.769791666666666, "learning_rate": 0.0001, "loss": 7.2711, "loss/crossentropy": 2.193411388993263, "loss/hidden": 3.33828125, "loss/jsd": 0.0, "loss/logits": 0.18807493168860673, "step": 9300 }, { "epoch": 0.23275, "grad_norm": 34.25, "grad_norm_var": 12.355143229166666, "learning_rate": 0.0001, "loss": 7.3819, "loss/crossentropy": 2.166665832698345, "loss/hidden": 3.3203125, "loss/jsd": 0.0, "loss/logits": 0.18620893750339745, "step": 9310 }, { "epoch": 0.233, "grad_norm": 29.875, "grad_norm_var": 3.002083333333333, "learning_rate": 0.0001, "loss": 7.4076, "loss/crossentropy": 2.022654353827238, "loss/hidden": 3.2984375, "loss/jsd": 0.0, "loss/logits": 0.18289813362061977, "step": 9320 }, { "epoch": 0.23325, "grad_norm": 30.0, "grad_norm_var": 3.0509765625, "learning_rate": 0.0001, "loss": 7.3206, "loss/crossentropy": 2.020027980953455, "loss/hidden": 3.425390625, "loss/jsd": 0.0, "loss/logits": 0.18972874553874136, "step": 9330 }, { "epoch": 0.2335, "grad_norm": 31.125, "grad_norm_var": 2.098893229166667, "learning_rate": 0.0001, "loss": 7.4091, "loss/crossentropy": 2.029365235567093, "loss/hidden": 3.43125, "loss/jsd": 0.0, "loss/logits": 0.2005317559465766, "step": 9340 }, { "epoch": 0.23375, "grad_norm": 29.5, "grad_norm_var": 10.520768229166666, "learning_rate": 0.0001, "loss": 7.3704, "loss/crossentropy": 1.95634398534894, "loss/hidden": 3.433203125, "loss/jsd": 0.0, "loss/logits": 0.18962019477039577, "step": 9350 }, { "epoch": 0.234, "grad_norm": 27.75, "grad_norm_var": 13.475, "learning_rate": 0.0001, "loss": 7.3797, "loss/crossentropy": 2.063827896118164, "loss/hidden": 3.3609375, "loss/jsd": 0.0, "loss/logits": 0.19280518041923642, "step": 9360 }, { "epoch": 0.23425, "grad_norm": 30.5, "grad_norm_var": 2.0869140625, "learning_rate": 0.0001, "loss": 7.4918, "loss/crossentropy": 2.068470099568367, "loss/hidden": 3.429296875, "loss/jsd": 0.0, "loss/logits": 0.19361184667795897, "step": 9370 }, { "epoch": 0.2345, "grad_norm": 28.0, "grad_norm_var": 6.534830729166667, "learning_rate": 0.0001, "loss": 7.4265, "loss/crossentropy": 2.125886672735214, "loss/hidden": 3.401171875, "loss/jsd": 0.0, "loss/logits": 0.19355848152190447, "step": 9380 }, { "epoch": 0.23475, "grad_norm": 30.375, "grad_norm_var": 2.2770182291666665, "learning_rate": 0.0001, "loss": 7.3769, "loss/crossentropy": 2.2057121500372885, "loss/hidden": 3.28515625, "loss/jsd": 0.0, "loss/logits": 0.1843592157587409, "step": 9390 }, { "epoch": 0.235, "grad_norm": 87.5, "grad_norm_var": 202.43932291666667, "learning_rate": 0.0001, "loss": 7.4444, "loss/crossentropy": 2.17584248483181, "loss/hidden": 3.4515625, "loss/jsd": 0.0, "loss/logits": 0.1986805137246847, "step": 9400 }, { "epoch": 0.23525, "grad_norm": 33.0, "grad_norm_var": 205.446875, "learning_rate": 0.0001, "loss": 7.5575, "loss/crossentropy": 1.9989879056811333, "loss/hidden": 3.484375, "loss/jsd": 0.0, "loss/logits": 0.21514312122017146, "step": 9410 }, { "epoch": 0.2355, "grad_norm": 33.25, "grad_norm_var": 3.4775390625, "learning_rate": 0.0001, "loss": 7.3965, "loss/crossentropy": 2.31248200237751, "loss/hidden": 3.359375, "loss/jsd": 0.0, "loss/logits": 0.20192647576332093, "step": 9420 }, { "epoch": 0.23575, "grad_norm": 34.0, "grad_norm_var": 2.5723307291666666, "learning_rate": 0.0001, "loss": 7.425, "loss/crossentropy": 2.0246524304151534, "loss/hidden": 3.43125, "loss/jsd": 0.0, "loss/logits": 0.1936120893806219, "step": 9430 }, { "epoch": 0.236, "grad_norm": 31.5, "grad_norm_var": 3.8207682291666667, "learning_rate": 0.0001, "loss": 7.3458, "loss/crossentropy": 2.0714851915836334, "loss/hidden": 3.315625, "loss/jsd": 0.0, "loss/logits": 0.19567677434533834, "step": 9440 }, { "epoch": 0.23625, "grad_norm": 32.25, "grad_norm_var": 2.0452473958333335, "learning_rate": 0.0001, "loss": 7.3934, "loss/crossentropy": 2.024892423301935, "loss/hidden": 3.541796875, "loss/jsd": 0.0, "loss/logits": 0.19850265365093947, "step": 9450 }, { "epoch": 0.2365, "grad_norm": 32.5, "grad_norm_var": 3.16640625, "learning_rate": 0.0001, "loss": 7.4192, "loss/crossentropy": 2.146814212203026, "loss/hidden": 3.43828125, "loss/jsd": 0.0, "loss/logits": 0.20048882197588683, "step": 9460 }, { "epoch": 0.23675, "grad_norm": 27.875, "grad_norm_var": 12.364322916666667, "learning_rate": 0.0001, "loss": 7.3745, "loss/crossentropy": 2.0004019677639007, "loss/hidden": 3.409375, "loss/jsd": 0.0, "loss/logits": 0.19019459020346402, "step": 9470 }, { "epoch": 0.237, "grad_norm": 28.75, "grad_norm_var": 12.885416666666666, "learning_rate": 0.0001, "loss": 7.2858, "loss/crossentropy": 2.0364832431077957, "loss/hidden": 3.357421875, "loss/jsd": 0.0, "loss/logits": 0.18539349418133497, "step": 9480 }, { "epoch": 0.23725, "grad_norm": 26.75, "grad_norm_var": 4.488997395833334, "learning_rate": 0.0001, "loss": 7.2865, "loss/crossentropy": 2.257227724790573, "loss/hidden": 3.247265625, "loss/jsd": 0.0, "loss/logits": 0.1774066084995866, "step": 9490 }, { "epoch": 0.2375, "grad_norm": 28.25, "grad_norm_var": 5.15625, "learning_rate": 0.0001, "loss": 7.3742, "loss/crossentropy": 2.192533364892006, "loss/hidden": 3.319140625, "loss/jsd": 0.0, "loss/logits": 0.18531391881406306, "step": 9500 }, { "epoch": 0.23775, "grad_norm": 28.5, "grad_norm_var": 8.7025390625, "learning_rate": 0.0001, "loss": 7.4007, "loss/crossentropy": 1.9954842567443847, "loss/hidden": 3.512890625, "loss/jsd": 0.0, "loss/logits": 0.21250668447464705, "step": 9510 }, { "epoch": 0.238, "grad_norm": 27.0, "grad_norm_var": 3.2018229166666665, "learning_rate": 0.0001, "loss": 7.3589, "loss/crossentropy": 2.0501152604818342, "loss/hidden": 3.402734375, "loss/jsd": 0.0, "loss/logits": 0.19774708338081837, "step": 9520 }, { "epoch": 0.23825, "grad_norm": 31.125, "grad_norm_var": 2.471875, "learning_rate": 0.0001, "loss": 7.3611, "loss/crossentropy": 2.1446721121668815, "loss/hidden": 3.40625, "loss/jsd": 0.0, "loss/logits": 0.19521092902868986, "step": 9530 }, { "epoch": 0.2385, "grad_norm": 33.25, "grad_norm_var": 2.911393229166667, "learning_rate": 0.0001, "loss": 7.4037, "loss/crossentropy": 2.050874675065279, "loss/hidden": 3.4078125, "loss/jsd": 0.0, "loss/logits": 0.18872325737029313, "step": 9540 }, { "epoch": 0.23875, "grad_norm": 32.25, "grad_norm_var": 1.69375, "learning_rate": 0.0001, "loss": 7.3851, "loss/crossentropy": 2.092629846930504, "loss/hidden": 3.3984375, "loss/jsd": 0.0, "loss/logits": 0.1858744696713984, "step": 9550 }, { "epoch": 0.239, "grad_norm": 30.25, "grad_norm_var": 1.6229166666666666, "learning_rate": 0.0001, "loss": 7.324, "loss/crossentropy": 2.1389416724443437, "loss/hidden": 3.344921875, "loss/jsd": 0.0, "loss/logits": 0.18115091007202863, "step": 9560 }, { "epoch": 0.23925, "grad_norm": 28.375, "grad_norm_var": 0.7893229166666667, "learning_rate": 0.0001, "loss": 7.3684, "loss/crossentropy": 2.1148220866918566, "loss/hidden": 3.390234375, "loss/jsd": 0.0, "loss/logits": 0.18993774689733983, "step": 9570 }, { "epoch": 0.2395, "grad_norm": 29.125, "grad_norm_var": 1.0260416666666667, "learning_rate": 0.0001, "loss": 7.4711, "loss/crossentropy": 1.987958113849163, "loss/hidden": 3.409375, "loss/jsd": 0.0, "loss/logits": 0.19200538750737906, "step": 9580 }, { "epoch": 0.23975, "grad_norm": 29.625, "grad_norm_var": 0.6018229166666667, "learning_rate": 0.0001, "loss": 7.3578, "loss/crossentropy": 2.076607885956764, "loss/hidden": 3.36640625, "loss/jsd": 0.0, "loss/logits": 0.20001101978123187, "step": 9590 }, { "epoch": 0.24, "grad_norm": 30.75, "grad_norm_var": 1.4124348958333333, "learning_rate": 0.0001, "loss": 7.4458, "loss/crossentropy": 2.1496243715286254, "loss/hidden": 3.357421875, "loss/jsd": 0.0, "loss/logits": 0.1889566643163562, "step": 9600 }, { "epoch": 0.24025, "grad_norm": 29.875, "grad_norm_var": 1.04140625, "learning_rate": 0.0001, "loss": 7.4632, "loss/crossentropy": 2.162689308822155, "loss/hidden": 3.33828125, "loss/jsd": 0.0, "loss/logits": 0.19204493910074233, "step": 9610 }, { "epoch": 0.2405, "grad_norm": 27.375, "grad_norm_var": 1.5863932291666667, "learning_rate": 0.0001, "loss": 7.3897, "loss/crossentropy": 2.1323146484792233, "loss/hidden": 3.455859375, "loss/jsd": 0.0, "loss/logits": 0.20718522872775794, "step": 9620 }, { "epoch": 0.24075, "grad_norm": 32.25, "grad_norm_var": 2.09375, "learning_rate": 0.0001, "loss": 7.2848, "loss/crossentropy": 2.0804166465997698, "loss/hidden": 3.417578125, "loss/jsd": 0.0, "loss/logits": 0.1966247998178005, "step": 9630 }, { "epoch": 0.241, "grad_norm": 31.25, "grad_norm_var": 1.3559895833333333, "learning_rate": 0.0001, "loss": 7.4174, "loss/crossentropy": 2.3036757931113243, "loss/hidden": 3.341015625, "loss/jsd": 0.0, "loss/logits": 0.18416995517909526, "step": 9640 }, { "epoch": 0.24125, "grad_norm": 33.0, "grad_norm_var": 2.41015625, "learning_rate": 0.0001, "loss": 7.2853, "loss/crossentropy": 1.9936259984970093, "loss/hidden": 3.428125, "loss/jsd": 0.0, "loss/logits": 0.21977887880057095, "step": 9650 }, { "epoch": 0.2415, "grad_norm": 32.5, "grad_norm_var": 6.1228515625, "learning_rate": 0.0001, "loss": 7.4938, "loss/crossentropy": 2.2000851720571517, "loss/hidden": 3.39765625, "loss/jsd": 0.0, "loss/logits": 0.20301534831523896, "step": 9660 }, { "epoch": 0.24175, "grad_norm": 31.0, "grad_norm_var": 3.59765625, "learning_rate": 0.0001, "loss": 7.5133, "loss/crossentropy": 2.192278115451336, "loss/hidden": 3.351953125, "loss/jsd": 0.0, "loss/logits": 0.19489070847630502, "step": 9670 }, { "epoch": 0.242, "grad_norm": 28.875, "grad_norm_var": 6.8978515625, "learning_rate": 0.0001, "loss": 7.4247, "loss/crossentropy": 2.194097451120615, "loss/hidden": 3.43046875, "loss/jsd": 0.0, "loss/logits": 0.20746590523049235, "step": 9680 }, { "epoch": 0.24225, "grad_norm": 29.75, "grad_norm_var": 4.0587890625, "learning_rate": 0.0001, "loss": 7.3413, "loss/crossentropy": 2.1902857303619383, "loss/hidden": 3.187109375, "loss/jsd": 0.0, "loss/logits": 0.17439354099333287, "step": 9690 }, { "epoch": 0.2425, "grad_norm": 41.5, "grad_norm_var": 3.952541960104418e+18, "learning_rate": 0.0001, "loss": 7.5429, "loss/crossentropy": 2.046304853260517, "loss/hidden": 3.31953125, "loss/jsd": 0.0, "loss/logits": 0.18022917695343493, "step": 9700 }, { "epoch": 0.24275, "grad_norm": 30.375, "grad_norm_var": 3.952541960261809e+18, "learning_rate": 0.0001, "loss": 7.2729, "loss/crossentropy": 2.082195009291172, "loss/hidden": 3.5140625, "loss/jsd": 0.0, "loss/logits": 0.1983122780919075, "step": 9710 }, { "epoch": 0.243, "grad_norm": 28.375, "grad_norm_var": 2.6056640625, "learning_rate": 0.0001, "loss": 7.2271, "loss/crossentropy": 1.970278625190258, "loss/hidden": 3.474609375, "loss/jsd": 0.0, "loss/logits": 0.19305091574788094, "step": 9720 }, { "epoch": 0.24325, "grad_norm": 30.375, "grad_norm_var": 2.0576524262052987e+18, "learning_rate": 0.0001, "loss": 7.3979, "loss/crossentropy": 2.1140229746699335, "loss/hidden": 3.390234375, "loss/jsd": 0.0, "loss/logits": 0.19698369763791562, "step": 9730 }, { "epoch": 0.2435, "grad_norm": 29.0, "grad_norm_var": 2.057652425978177e+18, "learning_rate": 0.0001, "loss": 7.2491, "loss/crossentropy": 1.9204902969300748, "loss/hidden": 3.40703125, "loss/jsd": 0.0, "loss/logits": 0.18290270324796437, "step": 9740 }, { "epoch": 0.24375, "grad_norm": 49.25, "grad_norm_var": 27.333072916666666, "learning_rate": 0.0001, "loss": 7.4168, "loss/crossentropy": 2.203968660533428, "loss/hidden": 3.358203125, "loss/jsd": 0.0, "loss/logits": 0.19210707377642394, "step": 9750 }, { "epoch": 0.244, "grad_norm": 27.75, "grad_norm_var": 28.5837890625, "learning_rate": 0.0001, "loss": 7.3667, "loss/crossentropy": 2.0645239472389223, "loss/hidden": 3.42578125, "loss/jsd": 0.0, "loss/logits": 0.1849998442456126, "step": 9760 }, { "epoch": 0.24425, "grad_norm": 30.0, "grad_norm_var": 7.441666666666666, "learning_rate": 0.0001, "loss": 7.3958, "loss/crossentropy": 2.0423281893134115, "loss/hidden": 3.46640625, "loss/jsd": 0.0, "loss/logits": 0.19458430632948875, "step": 9770 }, { "epoch": 0.2445, "grad_norm": 28.25, "grad_norm_var": 25.725, "learning_rate": 0.0001, "loss": 7.371, "loss/crossentropy": 2.2162967801094053, "loss/hidden": 3.392578125, "loss/jsd": 0.0, "loss/logits": 0.19894264116883278, "step": 9780 }, { "epoch": 0.24475, "grad_norm": 31.875, "grad_norm_var": 25.701822916666668, "learning_rate": 0.0001, "loss": 7.4136, "loss/crossentropy": 2.052091246843338, "loss/hidden": 3.331640625, "loss/jsd": 0.0, "loss/logits": 0.19768061954528093, "step": 9790 }, { "epoch": 0.245, "grad_norm": 29.375, "grad_norm_var": 2.4247395833333334, "learning_rate": 0.0001, "loss": 7.3752, "loss/crossentropy": 2.0378331199288366, "loss/hidden": 3.45703125, "loss/jsd": 0.0, "loss/logits": 0.1888222724199295, "step": 9800 }, { "epoch": 0.24525, "grad_norm": 29.75, "grad_norm_var": 17.073958333333334, "learning_rate": 0.0001, "loss": 7.389, "loss/crossentropy": 2.0574826121330263, "loss/hidden": 3.313671875, "loss/jsd": 0.0, "loss/logits": 0.1817958688363433, "step": 9810 }, { "epoch": 0.2455, "grad_norm": 28.125, "grad_norm_var": 24.198372395833335, "learning_rate": 0.0001, "loss": 7.284, "loss/crossentropy": 2.068347904086113, "loss/hidden": 3.401953125, "loss/jsd": 0.0, "loss/logits": 0.1905125178396702, "step": 9820 }, { "epoch": 0.24575, "grad_norm": 28.5, "grad_norm_var": 9.8041015625, "learning_rate": 0.0001, "loss": 7.3867, "loss/crossentropy": 2.0113710410892964, "loss/hidden": 3.318359375, "loss/jsd": 0.0, "loss/logits": 0.1825895557180047, "step": 9830 }, { "epoch": 0.246, "grad_norm": 30.5, "grad_norm_var": 1.16015625, "learning_rate": 0.0001, "loss": 7.3496, "loss/crossentropy": 2.0473890252411366, "loss/hidden": 3.408984375, "loss/jsd": 0.0, "loss/logits": 0.18930337531492114, "step": 9840 }, { "epoch": 0.24625, "grad_norm": 29.875, "grad_norm_var": 1.75, "learning_rate": 0.0001, "loss": 7.4305, "loss/crossentropy": 2.167546259611845, "loss/hidden": 3.344921875, "loss/jsd": 0.0, "loss/logits": 0.18493952229619026, "step": 9850 }, { "epoch": 0.2465, "grad_norm": 28.375, "grad_norm_var": 2.7625, "learning_rate": 0.0001, "loss": 7.444, "loss/crossentropy": 2.1046394810080526, "loss/hidden": 3.324609375, "loss/jsd": 0.0, "loss/logits": 0.18062518630176783, "step": 9860 }, { "epoch": 0.24675, "grad_norm": 28.75, "grad_norm_var": 7819.056705729166, "learning_rate": 0.0001, "loss": 7.4016, "loss/crossentropy": 2.0700221791863442, "loss/hidden": 3.372265625, "loss/jsd": 0.0, "loss/logits": 0.190355353243649, "step": 9870 }, { "epoch": 0.247, "grad_norm": 29.0, "grad_norm_var": 7843.72265625, "learning_rate": 0.0001, "loss": 7.2875, "loss/crossentropy": 2.057565826922655, "loss/hidden": 3.4234375, "loss/jsd": 0.0, "loss/logits": 0.18850490506738424, "step": 9880 }, { "epoch": 0.24725, "grad_norm": 32.5, "grad_norm_var": 3.778059895833333, "learning_rate": 0.0001, "loss": 7.4329, "loss/crossentropy": 2.0141181223094464, "loss/hidden": 3.446875, "loss/jsd": 0.0, "loss/logits": 0.19769613686949014, "step": 9890 }, { "epoch": 0.2475, "grad_norm": 30.375, "grad_norm_var": 6.312239583333334, "learning_rate": 0.0001, "loss": 7.336, "loss/crossentropy": 2.146551664918661, "loss/hidden": 3.34296875, "loss/jsd": 0.0, "loss/logits": 0.18510441221296786, "step": 9900 }, { "epoch": 0.24775, "grad_norm": 33.0, "grad_norm_var": 6.36640625, "learning_rate": 0.0001, "loss": 7.306, "loss/crossentropy": 2.2865438759326935, "loss/hidden": 3.366796875, "loss/jsd": 0.0, "loss/logits": 0.19417236726731063, "step": 9910 }, { "epoch": 0.248, "grad_norm": 33.5, "grad_norm_var": 2.405989583333333, "learning_rate": 0.0001, "loss": 7.3855, "loss/crossentropy": 2.133404280245304, "loss/hidden": 3.37578125, "loss/jsd": 0.0, "loss/logits": 0.19065556656569244, "step": 9920 }, { "epoch": 0.24825, "grad_norm": 34.25, "grad_norm_var": 3.1626528109486234e+18, "learning_rate": 0.0001, "loss": 7.4378, "loss/crossentropy": 2.0854051023721696, "loss/hidden": 3.459765625, "loss/jsd": 0.0, "loss/logits": 0.20351361632347106, "step": 9930 }, { "epoch": 0.2485, "grad_norm": 32.25, "grad_norm_var": 3.1626528099408717e+18, "learning_rate": 0.0001, "loss": 7.3826, "loss/crossentropy": 2.087091060727835, "loss/hidden": 3.39296875, "loss/jsd": 0.0, "loss/logits": 0.19672764679417015, "step": 9940 }, { "epoch": 0.24875, "grad_norm": 31.875, "grad_norm_var": 3.729622395833333, "learning_rate": 0.0001, "loss": 7.4303, "loss/crossentropy": 1.9529958970844745, "loss/hidden": 3.461328125, "loss/jsd": 0.0, "loss/logits": 0.1957404987886548, "step": 9950 }, { "epoch": 0.249, "grad_norm": 27.0, "grad_norm_var": 3.515625, "learning_rate": 0.0001, "loss": 7.2963, "loss/crossentropy": 2.1291355013847353, "loss/hidden": 3.278125, "loss/jsd": 0.0, "loss/logits": 0.1832482174038887, "step": 9960 }, { "epoch": 0.24925, "grad_norm": 31.5, "grad_norm_var": 2.403580729166667, "learning_rate": 0.0001, "loss": 7.3011, "loss/crossentropy": 2.073649263381958, "loss/hidden": 3.2859375, "loss/jsd": 0.0, "loss/logits": 0.17194083742797375, "step": 9970 }, { "epoch": 0.2495, "grad_norm": 30.5, "grad_norm_var": 3.7934895833333333, "learning_rate": 0.0001, "loss": 7.3253, "loss/crossentropy": 2.312130460143089, "loss/hidden": 3.334765625, "loss/jsd": 0.0, "loss/logits": 0.19424791410565376, "step": 9980 }, { "epoch": 0.24975, "grad_norm": 31.875, "grad_norm_var": 6.4666015625, "learning_rate": 0.0001, "loss": 7.3395, "loss/crossentropy": 1.9769040577113628, "loss/hidden": 3.359375, "loss/jsd": 0.0, "loss/logits": 0.1865438589360565, "step": 9990 }, { "epoch": 0.25, "grad_norm": 37.0, "grad_norm_var": 5.488997395833334, "learning_rate": 0.0001, "loss": 7.3121, "loss/crossentropy": 2.0656296610832214, "loss/hidden": 3.418359375, "loss/jsd": 0.0, "loss/logits": 0.19510807991027831, "step": 10000 }, { "epoch": 0.25025, "grad_norm": 30.5, "grad_norm_var": 6.201822916666667, "learning_rate": 0.0001, "loss": 7.3059, "loss/crossentropy": 2.1552528128027917, "loss/hidden": 3.338671875, "loss/jsd": 0.0, "loss/logits": 0.1871857862919569, "step": 10010 }, { "epoch": 0.2505, "grad_norm": 29.375, "grad_norm_var": 3.7697265625, "learning_rate": 0.0001, "loss": 7.402, "loss/crossentropy": 2.1086191907525063, "loss/hidden": 3.36953125, "loss/jsd": 0.0, "loss/logits": 0.20956437531858682, "step": 10020 }, { "epoch": 0.25075, "grad_norm": 27.0, "grad_norm_var": 79.871875, "learning_rate": 0.0001, "loss": 7.2906, "loss/crossentropy": 2.24168366715312, "loss/hidden": 3.333984375, "loss/jsd": 0.0, "loss/logits": 0.1914551755413413, "step": 10030 }, { "epoch": 0.251, "grad_norm": 28.25, "grad_norm_var": 3.5348307291666665, "learning_rate": 0.0001, "loss": 7.3933, "loss/crossentropy": 1.9110309466719628, "loss/hidden": 3.52421875, "loss/jsd": 0.0, "loss/logits": 0.1938932467252016, "step": 10040 }, { "epoch": 0.25125, "grad_norm": 29.5, "grad_norm_var": 3.318489583333333, "learning_rate": 0.0001, "loss": 7.3066, "loss/crossentropy": 2.2151729106903075, "loss/hidden": 3.374609375, "loss/jsd": 0.0, "loss/logits": 0.1898823155090213, "step": 10050 }, { "epoch": 0.2515, "grad_norm": 27.125, "grad_norm_var": 5.114583333333333, "learning_rate": 0.0001, "loss": 7.3306, "loss/crossentropy": 1.9325201705098152, "loss/hidden": 3.387109375, "loss/jsd": 0.0, "loss/logits": 0.1914183372631669, "step": 10060 }, { "epoch": 0.25175, "grad_norm": 28.375, "grad_norm_var": 5.568489583333333, "learning_rate": 0.0001, "loss": 7.4302, "loss/crossentropy": 2.053273378312588, "loss/hidden": 3.48828125, "loss/jsd": 0.0, "loss/logits": 0.193053549900651, "step": 10070 }, { "epoch": 0.252, "grad_norm": 32.25, "grad_norm_var": 1.5947265625, "learning_rate": 0.0001, "loss": 7.3679, "loss/crossentropy": 2.1425619572401047, "loss/hidden": 3.378125, "loss/jsd": 0.0, "loss/logits": 0.19612068887799977, "step": 10080 }, { "epoch": 0.25225, "grad_norm": 28.125, "grad_norm_var": 1.2666666666666666, "learning_rate": 0.0001, "loss": 7.4696, "loss/crossentropy": 2.1615766674280166, "loss/hidden": 3.437890625, "loss/jsd": 0.0, "loss/logits": 0.21496526505798103, "step": 10090 }, { "epoch": 0.2525, "grad_norm": 31.375, "grad_norm_var": 87.72389322916666, "learning_rate": 0.0001, "loss": 7.3933, "loss/crossentropy": 2.093507520854473, "loss/hidden": 3.306640625, "loss/jsd": 0.0, "loss/logits": 0.18447848707437514, "step": 10100 }, { "epoch": 0.25275, "grad_norm": 29.125, "grad_norm_var": 87.9962890625, "learning_rate": 0.0001, "loss": 7.42, "loss/crossentropy": 2.2579648420214653, "loss/hidden": 3.415625, "loss/jsd": 0.0, "loss/logits": 0.19929521884769202, "step": 10110 }, { "epoch": 0.253, "grad_norm": 31.0, "grad_norm_var": 3.0921223958333335, "learning_rate": 0.0001, "loss": 7.4462, "loss/crossentropy": 2.187203352898359, "loss/hidden": 3.360546875, "loss/jsd": 0.0, "loss/logits": 0.18776683378964662, "step": 10120 }, { "epoch": 0.25325, "grad_norm": 35.0, "grad_norm_var": 37.43333333333333, "learning_rate": 0.0001, "loss": 7.493, "loss/crossentropy": 2.156028524041176, "loss/hidden": 3.41171875, "loss/jsd": 0.0, "loss/logits": 0.20926487501710653, "step": 10130 }, { "epoch": 0.2535, "grad_norm": 30.625, "grad_norm_var": 36.87180989583333, "learning_rate": 0.0001, "loss": 7.4227, "loss/crossentropy": 1.9757653154432773, "loss/hidden": 3.383984375, "loss/jsd": 0.0, "loss/logits": 0.1927978384308517, "step": 10140 }, { "epoch": 0.25375, "grad_norm": 30.75, "grad_norm_var": 2.1582682291666666, "learning_rate": 0.0001, "loss": 7.3403, "loss/crossentropy": 2.1322492100298405, "loss/hidden": 3.455859375, "loss/jsd": 0.0, "loss/logits": 0.1974259439855814, "step": 10150 }, { "epoch": 0.254, "grad_norm": 28.125, "grad_norm_var": 2.9259765625, "learning_rate": 0.0001, "loss": 7.3083, "loss/crossentropy": 2.0464363016188143, "loss/hidden": 3.27734375, "loss/jsd": 0.0, "loss/logits": 0.17546537732705475, "step": 10160 }, { "epoch": 0.25425, "grad_norm": 28.625, "grad_norm_var": 3.7514973958333333, "learning_rate": 0.0001, "loss": 7.3988, "loss/crossentropy": 2.059445019811392, "loss/hidden": 3.396484375, "loss/jsd": 0.0, "loss/logits": 0.19312301548197866, "step": 10170 }, { "epoch": 0.2545, "grad_norm": 29.5, "grad_norm_var": 3.36015625, "learning_rate": 0.0001, "loss": 7.3178, "loss/crossentropy": 2.0300123430788517, "loss/hidden": 3.334375, "loss/jsd": 0.0, "loss/logits": 0.18283235086128116, "step": 10180 }, { "epoch": 0.25475, "grad_norm": 31.625, "grad_norm_var": 2.7192057291666667, "learning_rate": 0.0001, "loss": 7.4117, "loss/crossentropy": 2.052568303793669, "loss/hidden": 3.394921875, "loss/jsd": 0.0, "loss/logits": 0.17590052969753742, "step": 10190 }, { "epoch": 0.255, "grad_norm": 30.875, "grad_norm_var": 3.0660807291666665, "learning_rate": 0.0001, "loss": 7.4384, "loss/crossentropy": 2.1124994076788424, "loss/hidden": 3.4421875, "loss/jsd": 0.0, "loss/logits": 0.20564852859824895, "step": 10200 }, { "epoch": 0.25525, "grad_norm": 32.25, "grad_norm_var": 1.8223307291666666, "learning_rate": 0.0001, "loss": 7.4006, "loss/crossentropy": 1.997454211115837, "loss/hidden": 3.4078125, "loss/jsd": 0.0, "loss/logits": 0.189224443025887, "step": 10210 }, { "epoch": 0.2555, "grad_norm": 30.75, "grad_norm_var": 12.555989583333334, "learning_rate": 0.0001, "loss": 7.5754, "loss/crossentropy": 2.095755438506603, "loss/hidden": 3.470703125, "loss/jsd": 0.0, "loss/logits": 0.1905398152768612, "step": 10220 }, { "epoch": 0.25575, "grad_norm": 30.25, "grad_norm_var": 2.0666015625, "learning_rate": 0.0001, "loss": 7.4499, "loss/crossentropy": 2.031408229470253, "loss/hidden": 3.379296875, "loss/jsd": 0.0, "loss/logits": 0.1826389298774302, "step": 10230 }, { "epoch": 0.256, "grad_norm": 30.875, "grad_norm_var": 1.1973307291666666, "learning_rate": 0.0001, "loss": 7.4736, "loss/crossentropy": 2.103855460882187, "loss/hidden": 3.479296875, "loss/jsd": 0.0, "loss/logits": 0.21460786666721104, "step": 10240 }, { "epoch": 0.25625, "grad_norm": 31.125, "grad_norm_var": 2.6556640625, "learning_rate": 0.0001, "loss": 7.5078, "loss/crossentropy": 2.0419384971261025, "loss/hidden": 3.44609375, "loss/jsd": 0.0, "loss/logits": 0.1855954358354211, "step": 10250 }, { "epoch": 0.2565, "grad_norm": 31.0, "grad_norm_var": 3.025, "learning_rate": 0.0001, "loss": 7.3116, "loss/crossentropy": 2.2164057731628417, "loss/hidden": 3.336328125, "loss/jsd": 0.0, "loss/logits": 0.18515868298709393, "step": 10260 }, { "epoch": 0.25675, "grad_norm": 30.75, "grad_norm_var": 2.653059895833333, "learning_rate": 0.0001, "loss": 7.2962, "loss/crossentropy": 2.0967153370380402, "loss/hidden": 3.5140625, "loss/jsd": 0.0, "loss/logits": 0.2144587781280279, "step": 10270 }, { "epoch": 0.257, "grad_norm": 27.625, "grad_norm_var": 2874.977018229167, "learning_rate": 0.0001, "loss": 7.3634, "loss/crossentropy": 2.197367396950722, "loss/hidden": 3.32421875, "loss/jsd": 0.0, "loss/logits": 0.1903674839064479, "step": 10280 }, { "epoch": 0.25725, "grad_norm": 30.25, "grad_norm_var": 2830.1666015625, "learning_rate": 0.0001, "loss": 7.4461, "loss/crossentropy": 1.9168385773897172, "loss/hidden": 3.384375, "loss/jsd": 0.0, "loss/logits": 0.18945675920695065, "step": 10290 }, { "epoch": 0.2575, "grad_norm": 30.625, "grad_norm_var": 10.3634765625, "learning_rate": 0.0001, "loss": 7.4383, "loss/crossentropy": 2.196033439040184, "loss/hidden": 3.389453125, "loss/jsd": 0.0, "loss/logits": 0.20106703452765942, "step": 10300 }, { "epoch": 0.25775, "grad_norm": 29.75, "grad_norm_var": 2.41015625, "learning_rate": 0.0001, "loss": 7.4, "loss/crossentropy": 1.9811425000429153, "loss/hidden": 3.2875, "loss/jsd": 0.0, "loss/logits": 0.18086131382733583, "step": 10310 }, { "epoch": 0.258, "grad_norm": 28.625, "grad_norm_var": 1.3056640625, "learning_rate": 0.0001, "loss": 7.3814, "loss/crossentropy": 2.141839873790741, "loss/hidden": 3.3515625, "loss/jsd": 0.0, "loss/logits": 0.19040859565138818, "step": 10320 }, { "epoch": 0.25825, "grad_norm": 29.75, "grad_norm_var": 0.9582682291666667, "learning_rate": 0.0001, "loss": 7.3988, "loss/crossentropy": 2.0412203505635262, "loss/hidden": 3.471484375, "loss/jsd": 0.0, "loss/logits": 0.19841136487666516, "step": 10330 }, { "epoch": 0.2585, "grad_norm": 31.0, "grad_norm_var": 1.94765625, "learning_rate": 0.0001, "loss": 7.464, "loss/crossentropy": 2.124895977973938, "loss/hidden": 3.42890625, "loss/jsd": 0.0, "loss/logits": 0.19423805810511113, "step": 10340 }, { "epoch": 0.25875, "grad_norm": 27.125, "grad_norm_var": 20.603125, "learning_rate": 0.0001, "loss": 7.3612, "loss/crossentropy": 2.271273523569107, "loss/hidden": 3.341015625, "loss/jsd": 0.0, "loss/logits": 0.19086832217872143, "step": 10350 }, { "epoch": 0.259, "grad_norm": 31.75, "grad_norm_var": 41.87265625, "learning_rate": 0.0001, "loss": 7.3645, "loss/crossentropy": 2.148430307209492, "loss/hidden": 3.33203125, "loss/jsd": 0.0, "loss/logits": 0.18722805399447678, "step": 10360 }, { "epoch": 0.25925, "grad_norm": 31.125, "grad_norm_var": 28.49140625, "learning_rate": 0.0001, "loss": 7.2841, "loss/crossentropy": 2.088160905241966, "loss/hidden": 3.43359375, "loss/jsd": 0.0, "loss/logits": 0.19452540278434755, "step": 10370 }, { "epoch": 0.2595, "grad_norm": 30.375, "grad_norm_var": 3.8275390625, "learning_rate": 0.0001, "loss": 7.3269, "loss/crossentropy": 2.037956405431032, "loss/hidden": 3.324609375, "loss/jsd": 0.0, "loss/logits": 0.19043162725865842, "step": 10380 }, { "epoch": 0.25975, "grad_norm": 28.25, "grad_norm_var": 8.718489583333334, "learning_rate": 0.0001, "loss": 7.2968, "loss/crossentropy": 1.9823431193828582, "loss/hidden": 3.36171875, "loss/jsd": 0.0, "loss/logits": 0.19301451742649078, "step": 10390 }, { "epoch": 0.26, "grad_norm": 31.625, "grad_norm_var": 8.5625, "learning_rate": 0.0001, "loss": 7.3314, "loss/crossentropy": 2.0179347068071367, "loss/hidden": 3.393359375, "loss/jsd": 0.0, "loss/logits": 0.18727120459079744, "step": 10400 }, { "epoch": 0.26025, "grad_norm": 29.375, "grad_norm_var": 7.3625, "learning_rate": 0.0001, "loss": 7.3878, "loss/crossentropy": 2.0856245614588262, "loss/hidden": 3.335546875, "loss/jsd": 0.0, "loss/logits": 0.18157497737556696, "step": 10410 }, { "epoch": 0.2605, "grad_norm": 33.0, "grad_norm_var": 3.0134765625, "learning_rate": 0.0001, "loss": 7.3355, "loss/crossentropy": 2.0798820555210114, "loss/hidden": 3.36875, "loss/jsd": 0.0, "loss/logits": 0.1937016123905778, "step": 10420 }, { "epoch": 0.26075, "grad_norm": 30.625, "grad_norm_var": 2.5400390625, "learning_rate": 0.0001, "loss": 7.4527, "loss/crossentropy": 2.0538913279771807, "loss/hidden": 3.487890625, "loss/jsd": 0.0, "loss/logits": 0.19370690621435643, "step": 10430 }, { "epoch": 0.261, "grad_norm": 30.125, "grad_norm_var": 3.42890625, "learning_rate": 0.0001, "loss": 7.46, "loss/crossentropy": 2.181585241854191, "loss/hidden": 3.41953125, "loss/jsd": 0.0, "loss/logits": 0.1953628245741129, "step": 10440 }, { "epoch": 0.26125, "grad_norm": 27.75, "grad_norm_var": 3.783072916666667, "learning_rate": 0.0001, "loss": 7.3934, "loss/crossentropy": 2.183496044576168, "loss/hidden": 3.419921875, "loss/jsd": 0.0, "loss/logits": 0.20456707030534743, "step": 10450 }, { "epoch": 0.2615, "grad_norm": 30.125, "grad_norm_var": 1.4379557291666667, "learning_rate": 0.0001, "loss": 7.3211, "loss/crossentropy": 2.132909268140793, "loss/hidden": 3.376171875, "loss/jsd": 0.0, "loss/logits": 0.18731370605528355, "step": 10460 }, { "epoch": 0.26175, "grad_norm": 31.25, "grad_norm_var": 2.5791666666666666, "learning_rate": 0.0001, "loss": 7.3587, "loss/crossentropy": 2.0115842171013356, "loss/hidden": 3.380078125, "loss/jsd": 0.0, "loss/logits": 0.18043918311595916, "step": 10470 }, { "epoch": 0.262, "grad_norm": 30.25, "grad_norm_var": 3.8268229166666665, "learning_rate": 0.0001, "loss": 7.2962, "loss/crossentropy": 2.1343379452824593, "loss/hidden": 3.305859375, "loss/jsd": 0.0, "loss/logits": 0.18047874867916108, "step": 10480 }, { "epoch": 0.26225, "grad_norm": 36.0, "grad_norm_var": 8.967708333333333, "learning_rate": 0.0001, "loss": 7.2903, "loss/crossentropy": 1.8975451827049254, "loss/hidden": 3.395703125, "loss/jsd": 0.0, "loss/logits": 0.17858757209032775, "step": 10490 }, { "epoch": 0.2625, "grad_norm": 31.75, "grad_norm_var": 10.077083333333333, "learning_rate": 0.0001, "loss": 7.3074, "loss/crossentropy": 2.0936397939920424, "loss/hidden": 3.3828125, "loss/jsd": 0.0, "loss/logits": 0.19368096999824047, "step": 10500 }, { "epoch": 0.26275, "grad_norm": 29.375, "grad_norm_var": 2.020768229166667, "learning_rate": 0.0001, "loss": 7.3675, "loss/crossentropy": 2.06072843298316, "loss/hidden": 3.30390625, "loss/jsd": 0.0, "loss/logits": 0.17674694433808327, "step": 10510 }, { "epoch": 0.263, "grad_norm": 29.125, "grad_norm_var": 3.4686848958333334, "learning_rate": 0.0001, "loss": 7.3847, "loss/crossentropy": 2.057940775156021, "loss/hidden": 3.381640625, "loss/jsd": 0.0, "loss/logits": 0.18738706540316344, "step": 10520 }, { "epoch": 0.26325, "grad_norm": 31.625, "grad_norm_var": 3.225, "learning_rate": 0.0001, "loss": 7.3449, "loss/crossentropy": 2.051366009563208, "loss/hidden": 3.376171875, "loss/jsd": 0.0, "loss/logits": 0.18555977791547776, "step": 10530 }, { "epoch": 0.2635, "grad_norm": 29.75, "grad_norm_var": 32.99108072916667, "learning_rate": 0.0001, "loss": 7.3795, "loss/crossentropy": 2.061921717226505, "loss/hidden": 3.427734375, "loss/jsd": 0.0, "loss/logits": 0.1927286960184574, "step": 10540 }, { "epoch": 0.26375, "grad_norm": 31.875, "grad_norm_var": 34.16451822916667, "learning_rate": 0.0001, "loss": 7.3305, "loss/crossentropy": 2.051614002883434, "loss/hidden": 3.39609375, "loss/jsd": 0.0, "loss/logits": 0.20516632981598376, "step": 10550 }, { "epoch": 0.264, "grad_norm": 30.25, "grad_norm_var": 2.2802083333333334, "learning_rate": 0.0001, "loss": 7.3251, "loss/crossentropy": 2.208609312772751, "loss/hidden": 3.302734375, "loss/jsd": 0.0, "loss/logits": 0.1906878400593996, "step": 10560 }, { "epoch": 0.26425, "grad_norm": 28.0, "grad_norm_var": 2.8785807291666665, "learning_rate": 0.0001, "loss": 7.4584, "loss/crossentropy": 2.2136432066559792, "loss/hidden": 3.346484375, "loss/jsd": 0.0, "loss/logits": 0.1983118023723364, "step": 10570 }, { "epoch": 0.2645, "grad_norm": 30.5, "grad_norm_var": 3.562239583333333, "learning_rate": 0.0001, "loss": 7.3017, "loss/crossentropy": 2.2243916779756545, "loss/hidden": 3.276953125, "loss/jsd": 0.0, "loss/logits": 0.19225324541330338, "step": 10580 }, { "epoch": 0.26475, "grad_norm": 31.75, "grad_norm_var": 2.47265625, "learning_rate": 0.0001, "loss": 7.2623, "loss/crossentropy": 2.085415804386139, "loss/hidden": 3.308203125, "loss/jsd": 0.0, "loss/logits": 0.1769318761304021, "step": 10590 }, { "epoch": 0.265, "grad_norm": 30.5, "grad_norm_var": 1.8895182291666666, "learning_rate": 0.0001, "loss": 7.4543, "loss/crossentropy": 2.0929081469774244, "loss/hidden": 3.431640625, "loss/jsd": 0.0, "loss/logits": 0.21267817355692387, "step": 10600 }, { "epoch": 0.26525, "grad_norm": 28.75, "grad_norm_var": 2.505989583333333, "learning_rate": 0.0001, "loss": 7.2136, "loss/crossentropy": 1.885066507011652, "loss/hidden": 3.34609375, "loss/jsd": 0.0, "loss/logits": 0.17078990247100592, "step": 10610 }, { "epoch": 0.2655, "grad_norm": 27.25, "grad_norm_var": 2.18515625, "learning_rate": 0.0001, "loss": 7.258, "loss/crossentropy": 1.9193078093230724, "loss/hidden": 3.366015625, "loss/jsd": 0.0, "loss/logits": 0.18096741195768118, "step": 10620 }, { "epoch": 0.26575, "grad_norm": 29.5, "grad_norm_var": 2.499739583333333, "learning_rate": 0.0001, "loss": 7.256, "loss/crossentropy": 1.9643688909709454, "loss/hidden": 3.317578125, "loss/jsd": 0.0, "loss/logits": 0.16975617725402117, "step": 10630 }, { "epoch": 0.266, "grad_norm": 41.25, "grad_norm_var": 2.3308942592018744e+18, "learning_rate": 0.0001, "loss": 7.3436, "loss/crossentropy": 1.8120718583464623, "loss/hidden": 3.403515625, "loss/jsd": 0.0, "loss/logits": 0.17283489797264337, "step": 10640 }, { "epoch": 0.26625, "grad_norm": 30.5, "grad_norm_var": 2.3308942571726003e+18, "learning_rate": 0.0001, "loss": 7.398, "loss/crossentropy": 2.2462258487939835, "loss/hidden": 3.378515625, "loss/jsd": 0.0, "loss/logits": 0.20116339288651944, "step": 10650 }, { "epoch": 0.2665, "grad_norm": 32.0, "grad_norm_var": 21.258268229166667, "learning_rate": 0.0001, "loss": 7.2994, "loss/crossentropy": 2.044428373128176, "loss/hidden": 3.42265625, "loss/jsd": 0.0, "loss/logits": 0.1989501324482262, "step": 10660 }, { "epoch": 0.26675, "grad_norm": 29.875, "grad_norm_var": 1.8681640625, "learning_rate": 0.0001, "loss": 7.3881, "loss/crossentropy": 1.9573393151164056, "loss/hidden": 3.27421875, "loss/jsd": 0.0, "loss/logits": 0.17021252401173115, "step": 10670 }, { "epoch": 0.267, "grad_norm": 33.0, "grad_norm_var": 2.6197265625, "learning_rate": 0.0001, "loss": 7.449, "loss/crossentropy": 2.1520077705383303, "loss/hidden": 3.498046875, "loss/jsd": 0.0, "loss/logits": 0.20022546350955964, "step": 10680 }, { "epoch": 0.26725, "grad_norm": 30.25, "grad_norm_var": 69.97473958333333, "learning_rate": 0.0001, "loss": 7.4428, "loss/crossentropy": 2.1147203534841537, "loss/hidden": 3.366015625, "loss/jsd": 0.0, "loss/logits": 0.18886133264750243, "step": 10690 }, { "epoch": 0.2675, "grad_norm": 33.25, "grad_norm_var": 27.978125, "learning_rate": 0.0001, "loss": 7.3953, "loss/crossentropy": 2.1656775265932082, "loss/hidden": 3.334765625, "loss/jsd": 0.0, "loss/logits": 0.18777367267757655, "step": 10700 }, { "epoch": 0.26775, "grad_norm": 30.75, "grad_norm_var": 39.307291666666664, "learning_rate": 0.0001, "loss": 7.2137, "loss/crossentropy": 2.2314133137464522, "loss/hidden": 3.280859375, "loss/jsd": 0.0, "loss/logits": 0.18172509353607894, "step": 10710 }, { "epoch": 0.268, "grad_norm": 30.5, "grad_norm_var": 43.19055989583333, "learning_rate": 0.0001, "loss": 7.3973, "loss/crossentropy": 2.0373408157378434, "loss/hidden": 3.500390625, "loss/jsd": 0.0, "loss/logits": 0.19881470818072558, "step": 10720 }, { "epoch": 0.26825, "grad_norm": 28.125, "grad_norm_var": 7.35625, "learning_rate": 0.0001, "loss": 7.3064, "loss/crossentropy": 2.065886814892292, "loss/hidden": 3.328125, "loss/jsd": 0.0, "loss/logits": 0.19001882169395684, "step": 10730 }, { "epoch": 0.2685, "grad_norm": 30.0, "grad_norm_var": 2.437239583333333, "learning_rate": 0.0001, "loss": 7.4337, "loss/crossentropy": 2.1057795181870462, "loss/hidden": 3.380078125, "loss/jsd": 0.0, "loss/logits": 0.19459401965141296, "step": 10740 }, { "epoch": 0.26875, "grad_norm": 29.75, "grad_norm_var": 3.24765625, "learning_rate": 0.0001, "loss": 7.4157, "loss/crossentropy": 1.7320681288838387, "loss/hidden": 3.533984375, "loss/jsd": 0.0, "loss/logits": 0.20864265877753496, "step": 10750 }, { "epoch": 0.269, "grad_norm": 31.0, "grad_norm_var": 2.9098307291666665, "learning_rate": 0.0001, "loss": 7.3267, "loss/crossentropy": 2.1352997794747353, "loss/hidden": 3.398828125, "loss/jsd": 0.0, "loss/logits": 0.19193184426985682, "step": 10760 }, { "epoch": 0.26925, "grad_norm": 32.25, "grad_norm_var": 3.0444333193999944e+18, "learning_rate": 0.0001, "loss": 7.3861, "loss/crossentropy": 2.070178285241127, "loss/hidden": 3.4390625, "loss/jsd": 0.0, "loss/logits": 0.19077087007462978, "step": 10770 }, { "epoch": 0.2695, "grad_norm": 28.5, "grad_norm_var": 23.91640625, "learning_rate": 0.0001, "loss": 7.4494, "loss/crossentropy": 2.147341425716877, "loss/hidden": 3.341015625, "loss/jsd": 0.0, "loss/logits": 0.18359180726110935, "step": 10780 }, { "epoch": 0.26975, "grad_norm": 30.875, "grad_norm_var": 1.5843098958333333, "learning_rate": 0.0001, "loss": 7.3566, "loss/crossentropy": 2.0286200530827045, "loss/hidden": 3.373046875, "loss/jsd": 0.0, "loss/logits": 0.1995188482105732, "step": 10790 }, { "epoch": 0.27, "grad_norm": 30.625, "grad_norm_var": 1.8247395833333333, "learning_rate": 0.0001, "loss": 7.3752, "loss/crossentropy": 2.1403896272182465, "loss/hidden": 3.408203125, "loss/jsd": 0.0, "loss/logits": 0.19066570214927198, "step": 10800 }, { "epoch": 0.27025, "grad_norm": 32.25, "grad_norm_var": 3.2462890625, "learning_rate": 0.0001, "loss": 7.3297, "loss/crossentropy": 2.109960842132568, "loss/hidden": 3.35234375, "loss/jsd": 0.0, "loss/logits": 0.19408894181251526, "step": 10810 }, { "epoch": 0.2705, "grad_norm": 31.0, "grad_norm_var": 2.125, "learning_rate": 0.0001, "loss": 7.4115, "loss/crossentropy": 2.170359855145216, "loss/hidden": 3.346875, "loss/jsd": 0.0, "loss/logits": 0.1864105872809887, "step": 10820 }, { "epoch": 0.27075, "grad_norm": 30.125, "grad_norm_var": 2.5025390625, "learning_rate": 0.0001, "loss": 7.3568, "loss/crossentropy": 2.0696767389774324, "loss/hidden": 3.32109375, "loss/jsd": 0.0, "loss/logits": 0.18454026989638805, "step": 10830 }, { "epoch": 0.271, "grad_norm": 29.625, "grad_norm_var": 3.187239583333333, "learning_rate": 0.0001, "loss": 7.3986, "loss/crossentropy": 2.1671934336423875, "loss/hidden": 3.377734375, "loss/jsd": 0.0, "loss/logits": 0.19040703494101763, "step": 10840 }, { "epoch": 0.27125, "grad_norm": 29.25, "grad_norm_var": 3.470833333333333, "learning_rate": 0.0001, "loss": 7.3105, "loss/crossentropy": 1.9061052799224854, "loss/hidden": 3.3734375, "loss/jsd": 0.0, "loss/logits": 0.1798303933814168, "step": 10850 }, { "epoch": 0.2715, "grad_norm": 33.0, "grad_norm_var": 3.2087890625, "learning_rate": 0.0001, "loss": 7.3692, "loss/crossentropy": 2.1218462653458117, "loss/hidden": 3.432421875, "loss/jsd": 0.0, "loss/logits": 0.20523111913353204, "step": 10860 }, { "epoch": 0.27175, "grad_norm": 29.375, "grad_norm_var": 3.544205729166667, "learning_rate": 0.0001, "loss": 7.3206, "loss/crossentropy": 2.006873355805874, "loss/hidden": 3.4734375, "loss/jsd": 0.0, "loss/logits": 0.2144127245992422, "step": 10870 }, { "epoch": 0.272, "grad_norm": 29.875, "grad_norm_var": 1.5832967245463552e+18, "learning_rate": 0.0001, "loss": 7.4255, "loss/crossentropy": 2.1331238821148872, "loss/hidden": 3.366015625, "loss/jsd": 0.0, "loss/logits": 0.19302980024367572, "step": 10880 }, { "epoch": 0.27225, "grad_norm": 31.875, "grad_norm_var": 1.5832967244414976e+18, "learning_rate": 0.0001, "loss": 7.3477, "loss/crossentropy": 2.041455736756325, "loss/hidden": 3.4515625, "loss/jsd": 0.0, "loss/logits": 0.230126572214067, "step": 10890 }, { "epoch": 0.2725, "grad_norm": 32.25, "grad_norm_var": 16.21015625, "learning_rate": 0.0001, "loss": 7.3668, "loss/crossentropy": 2.11685880869627, "loss/hidden": 3.32890625, "loss/jsd": 0.0, "loss/logits": 0.18238812778145075, "step": 10900 }, { "epoch": 0.27275, "grad_norm": 29.625, "grad_norm_var": 15.566666666666666, "learning_rate": 0.0001, "loss": 7.349, "loss/crossentropy": 2.1108590021729468, "loss/hidden": 3.448828125, "loss/jsd": 0.0, "loss/logits": 0.2031965653412044, "step": 10910 }, { "epoch": 0.273, "grad_norm": 30.5, "grad_norm_var": 6.133072916666666, "learning_rate": 0.0001, "loss": 7.3685, "loss/crossentropy": 1.9768708415329457, "loss/hidden": 3.4, "loss/jsd": 0.0, "loss/logits": 0.1786771345883608, "step": 10920 }, { "epoch": 0.27325, "grad_norm": 28.75, "grad_norm_var": 6.448372395833333, "learning_rate": 0.0001, "loss": 7.3505, "loss/crossentropy": 1.9710132874548436, "loss/hidden": 3.375, "loss/jsd": 0.0, "loss/logits": 0.18313440950587392, "step": 10930 }, { "epoch": 0.2735, "grad_norm": 29.5, "grad_norm_var": 2.63515625, "learning_rate": 0.0001, "loss": 7.4147, "loss/crossentropy": 2.1898112446069717, "loss/hidden": 3.3546875, "loss/jsd": 0.0, "loss/logits": 0.1952790988609195, "step": 10940 }, { "epoch": 0.27375, "grad_norm": 31.25, "grad_norm_var": 1.8978515625, "learning_rate": 0.0001, "loss": 7.3679, "loss/crossentropy": 2.135420022904873, "loss/hidden": 3.43203125, "loss/jsd": 0.0, "loss/logits": 0.21568923965096473, "step": 10950 }, { "epoch": 0.274, "grad_norm": 31.625, "grad_norm_var": 3.5184895833333334, "learning_rate": 0.0001, "loss": 7.2611, "loss/crossentropy": 1.9667419284582137, "loss/hidden": 3.42265625, "loss/jsd": 0.0, "loss/logits": 0.1834744794294238, "step": 10960 }, { "epoch": 0.27425, "grad_norm": 30.625, "grad_norm_var": 1.3561848958333333, "learning_rate": 0.0001, "loss": 7.4273, "loss/crossentropy": 2.074997512996197, "loss/hidden": 3.356640625, "loss/jsd": 0.0, "loss/logits": 0.18813611660152674, "step": 10970 }, { "epoch": 0.2745, "grad_norm": 31.75, "grad_norm_var": 2.325455729166667, "learning_rate": 0.0001, "loss": 7.3688, "loss/crossentropy": 2.234239089488983, "loss/hidden": 3.254296875, "loss/jsd": 0.0, "loss/logits": 0.18571207812055945, "step": 10980 }, { "epoch": 0.27475, "grad_norm": 33.25, "grad_norm_var": 5.548958333333333, "learning_rate": 0.0001, "loss": 7.4528, "loss/crossentropy": 2.1355573579669, "loss/hidden": 3.489453125, "loss/jsd": 0.0, "loss/logits": 0.20484505780041218, "step": 10990 }, { "epoch": 0.275, "grad_norm": 26.625, "grad_norm_var": 5.2759765625, "learning_rate": 0.0001, "loss": 7.4261, "loss/crossentropy": 2.2509318992495535, "loss/hidden": 3.3265625, "loss/jsd": 0.0, "loss/logits": 0.19250140003859997, "step": 11000 }, { "epoch": 0.27525, "grad_norm": 31.0, "grad_norm_var": 5.387239583333334, "learning_rate": 0.0001, "loss": 7.3389, "loss/crossentropy": 2.114951176941395, "loss/hidden": 3.3640625, "loss/jsd": 0.0, "loss/logits": 0.198347245156765, "step": 11010 }, { "epoch": 0.2755, "grad_norm": 30.375, "grad_norm_var": 1.5468098958333334, "learning_rate": 0.0001, "loss": 7.3199, "loss/crossentropy": 2.110514160990715, "loss/hidden": 3.381640625, "loss/jsd": 0.0, "loss/logits": 0.1900305664166808, "step": 11020 }, { "epoch": 0.27575, "grad_norm": 27.25, "grad_norm_var": 2.003059895833333, "learning_rate": 0.0001, "loss": 7.3304, "loss/crossentropy": 2.201597589254379, "loss/hidden": 3.393359375, "loss/jsd": 0.0, "loss/logits": 0.20035982932895421, "step": 11030 }, { "epoch": 0.276, "grad_norm": 32.25, "grad_norm_var": 3.0139973958333335, "learning_rate": 0.0001, "loss": 7.4256, "loss/crossentropy": 2.1428385630249975, "loss/hidden": 3.287890625, "loss/jsd": 0.0, "loss/logits": 0.18116684164851904, "step": 11040 }, { "epoch": 0.27625, "grad_norm": 31.25, "grad_norm_var": 2.4671223958333335, "learning_rate": 0.0001, "loss": 7.2733, "loss/crossentropy": 2.043394061923027, "loss/hidden": 3.37734375, "loss/jsd": 0.0, "loss/logits": 0.17936107851564884, "step": 11050 }, { "epoch": 0.2765, "grad_norm": 32.75, "grad_norm_var": 1.3830729166666667, "learning_rate": 0.0001, "loss": 7.4904, "loss/crossentropy": 2.1975908786058427, "loss/hidden": 3.392578125, "loss/jsd": 0.0, "loss/logits": 0.21010352578014135, "step": 11060 }, { "epoch": 0.27675, "grad_norm": 30.0, "grad_norm_var": 4.671875, "learning_rate": 0.0001, "loss": 7.3718, "loss/crossentropy": 2.1417069509625435, "loss/hidden": 3.35390625, "loss/jsd": 0.0, "loss/logits": 0.17585361283272505, "step": 11070 }, { "epoch": 0.277, "grad_norm": 29.375, "grad_norm_var": 4.309375, "learning_rate": 0.0001, "loss": 7.2855, "loss/crossentropy": 2.041763362288475, "loss/hidden": 3.221875, "loss/jsd": 0.0, "loss/logits": 0.17130352668464183, "step": 11080 }, { "epoch": 0.27725, "grad_norm": 28.375, "grad_norm_var": 11.15390625, "learning_rate": 0.0001, "loss": 7.3131, "loss/crossentropy": 2.1522015750408174, "loss/hidden": 3.3375, "loss/jsd": 0.0, "loss/logits": 0.18296321779489516, "step": 11090 }, { "epoch": 0.2775, "grad_norm": 30.375, "grad_norm_var": 11.266080729166667, "learning_rate": 0.0001, "loss": 7.3499, "loss/crossentropy": 2.1265663146972655, "loss/hidden": 3.318359375, "loss/jsd": 0.0, "loss/logits": 0.18307223506271839, "step": 11100 }, { "epoch": 0.27775, "grad_norm": 30.75, "grad_norm_var": 1.6994140625, "learning_rate": 0.0001, "loss": 7.3764, "loss/crossentropy": 2.126886320114136, "loss/hidden": 3.365234375, "loss/jsd": 0.0, "loss/logits": 0.1963003095239401, "step": 11110 }, { "epoch": 0.278, "grad_norm": 29.75, "grad_norm_var": 1.9780598958333333, "learning_rate": 0.0001, "loss": 7.3686, "loss/crossentropy": 2.209390402585268, "loss/hidden": 3.284375, "loss/jsd": 0.0, "loss/logits": 0.18762579131871462, "step": 11120 }, { "epoch": 0.27825, "grad_norm": 29.875, "grad_norm_var": 2.3806640625, "learning_rate": 0.0001, "loss": 7.4086, "loss/crossentropy": 2.0636716064065697, "loss/hidden": 3.4109375, "loss/jsd": 0.0, "loss/logits": 0.18702280572615565, "step": 11130 }, { "epoch": 0.2785, "grad_norm": 30.0, "grad_norm_var": 11.084375, "learning_rate": 0.0001, "loss": 7.3611, "loss/crossentropy": 1.9728175386786462, "loss/hidden": 3.371875, "loss/jsd": 0.0, "loss/logits": 0.18249935954809188, "step": 11140 }, { "epoch": 0.27875, "grad_norm": 30.75, "grad_norm_var": 13.183333333333334, "learning_rate": 0.0001, "loss": 7.2901, "loss/crossentropy": 1.9563469380140304, "loss/hidden": 3.32421875, "loss/jsd": 0.0, "loss/logits": 0.1720572842285037, "step": 11150 }, { "epoch": 0.279, "grad_norm": 40.75, "grad_norm_var": 11.42890625, "learning_rate": 0.0001, "loss": 7.2633, "loss/crossentropy": 2.1441919445991515, "loss/hidden": 3.30703125, "loss/jsd": 0.0, "loss/logits": 0.1793568328022957, "step": 11160 }, { "epoch": 0.27925, "grad_norm": 31.125, "grad_norm_var": 9.245833333333334, "learning_rate": 0.0001, "loss": 7.3546, "loss/crossentropy": 2.0893258482217787, "loss/hidden": 3.376171875, "loss/jsd": 0.0, "loss/logits": 0.18886512089520693, "step": 11170 }, { "epoch": 0.2795, "grad_norm": 29.25, "grad_norm_var": 15.84140625, "learning_rate": 0.0001, "loss": 7.3265, "loss/crossentropy": 2.028592649102211, "loss/hidden": 3.401953125, "loss/jsd": 0.0, "loss/logits": 0.1916877321898937, "step": 11180 }, { "epoch": 0.27975, "grad_norm": 29.0, "grad_norm_var": 5.451822916666667, "learning_rate": 0.0001, "loss": 7.4362, "loss/crossentropy": 2.1735318168997764, "loss/hidden": 3.325, "loss/jsd": 0.0, "loss/logits": 0.18261966463178397, "step": 11190 }, { "epoch": 0.28, "grad_norm": 30.75, "grad_norm_var": 3.405143229166667, "learning_rate": 0.0001, "loss": 7.3648, "loss/crossentropy": 2.129372274875641, "loss/hidden": 3.434375, "loss/jsd": 0.0, "loss/logits": 0.19846085608005523, "step": 11200 }, { "epoch": 0.28025, "grad_norm": 30.125, "grad_norm_var": 3.4462890625, "learning_rate": 0.0001, "loss": 7.4302, "loss/crossentropy": 2.1702652648091316, "loss/hidden": 3.466015625, "loss/jsd": 0.0, "loss/logits": 0.20027328319847584, "step": 11210 }, { "epoch": 0.2805, "grad_norm": 30.625, "grad_norm_var": 2.58515625, "learning_rate": 0.0001, "loss": 7.3575, "loss/crossentropy": 2.134139196574688, "loss/hidden": 3.373828125, "loss/jsd": 0.0, "loss/logits": 0.1903523735702038, "step": 11220 }, { "epoch": 0.28075, "grad_norm": 32.25, "grad_norm_var": 3.1093098958333334, "learning_rate": 0.0001, "loss": 7.43, "loss/crossentropy": 2.026133489608765, "loss/hidden": 3.45390625, "loss/jsd": 0.0, "loss/logits": 0.201400394923985, "step": 11230 }, { "epoch": 0.281, "grad_norm": 31.25, "grad_norm_var": 12.038997395833333, "learning_rate": 0.0001, "loss": 7.4162, "loss/crossentropy": 2.1442901253700257, "loss/hidden": 3.37265625, "loss/jsd": 0.0, "loss/logits": 0.20070651173591614, "step": 11240 }, { "epoch": 0.28125, "grad_norm": 28.875, "grad_norm_var": 162.22962239583333, "learning_rate": 0.0001, "loss": 7.4058, "loss/crossentropy": 2.1855412632226945, "loss/hidden": 3.4109375, "loss/jsd": 0.0, "loss/logits": 0.1976642705500126, "step": 11250 }, { "epoch": 0.2815, "grad_norm": 31.75, "grad_norm_var": 10.683072916666667, "learning_rate": 0.0001, "loss": 7.3535, "loss/crossentropy": 2.030480499565601, "loss/hidden": 3.40078125, "loss/jsd": 0.0, "loss/logits": 0.20611500162631274, "step": 11260 }, { "epoch": 0.28175, "grad_norm": 36.75, "grad_norm_var": 11.08515625, "learning_rate": 0.0001, "loss": 7.287, "loss/crossentropy": 2.01583767645061, "loss/hidden": 3.312109375, "loss/jsd": 0.0, "loss/logits": 0.18007306316867472, "step": 11270 }, { "epoch": 0.282, "grad_norm": 30.625, "grad_norm_var": 7.605989583333334, "learning_rate": 0.0001, "loss": 7.3012, "loss/crossentropy": 2.2034949243068693, "loss/hidden": 3.327734375, "loss/jsd": 0.0, "loss/logits": 0.18539215214550495, "step": 11280 }, { "epoch": 0.28225, "grad_norm": 29.125, "grad_norm_var": 4.1791015625, "learning_rate": 0.0001, "loss": 7.3566, "loss/crossentropy": 2.0296434491872786, "loss/hidden": 3.335546875, "loss/jsd": 0.0, "loss/logits": 0.18707384672015906, "step": 11290 }, { "epoch": 0.2825, "grad_norm": 30.375, "grad_norm_var": 7.01015625, "learning_rate": 0.0001, "loss": 7.2793, "loss/crossentropy": 2.0983324527740477, "loss/hidden": 3.327734375, "loss/jsd": 0.0, "loss/logits": 0.17865268159657716, "step": 11300 }, { "epoch": 0.28275, "grad_norm": 34.0, "grad_norm_var": 7.029622395833333, "learning_rate": 0.0001, "loss": 7.3716, "loss/crossentropy": 2.127777361869812, "loss/hidden": 3.476953125, "loss/jsd": 0.0, "loss/logits": 0.20420280396938323, "step": 11310 }, { "epoch": 0.283, "grad_norm": 32.5, "grad_norm_var": 38.66712239583333, "learning_rate": 0.0001, "loss": 7.3326, "loss/crossentropy": 2.1566628091037274, "loss/hidden": 3.28828125, "loss/jsd": 0.0, "loss/logits": 0.180232659727335, "step": 11320 }, { "epoch": 0.28325, "grad_norm": 30.5, "grad_norm_var": 44.13743489583333, "learning_rate": 0.0001, "loss": 7.3567, "loss/crossentropy": 2.091618612408638, "loss/hidden": 3.330078125, "loss/jsd": 0.0, "loss/logits": 0.18182430015876888, "step": 11330 }, { "epoch": 0.2835, "grad_norm": 29.625, "grad_norm_var": 4.887434895833334, "learning_rate": 0.0001, "loss": 7.3312, "loss/crossentropy": 2.1611782908439636, "loss/hidden": 3.369140625, "loss/jsd": 0.0, "loss/logits": 0.1828035417944193, "step": 11340 }, { "epoch": 0.28375, "grad_norm": 34.25, "grad_norm_var": 6.423893229166667, "learning_rate": 0.0001, "loss": 7.1759, "loss/crossentropy": 1.9736236594617367, "loss/hidden": 3.33125, "loss/jsd": 0.0, "loss/logits": 0.18899882938712836, "step": 11350 }, { "epoch": 0.284, "grad_norm": 30.0, "grad_norm_var": 9.488541666666666, "learning_rate": 0.0001, "loss": 7.1771, "loss/crossentropy": 2.0265045419335364, "loss/hidden": 3.273828125, "loss/jsd": 0.0, "loss/logits": 0.1712389207445085, "step": 11360 }, { "epoch": 0.28425, "grad_norm": 33.75, "grad_norm_var": 12.092122395833334, "learning_rate": 0.0001, "loss": 7.361, "loss/crossentropy": 2.2598242223262788, "loss/hidden": 3.3265625, "loss/jsd": 0.0, "loss/logits": 0.19073396287858485, "step": 11370 }, { "epoch": 0.2845, "grad_norm": 29.0, "grad_norm_var": 8.455989583333333, "learning_rate": 0.0001, "loss": 7.3234, "loss/crossentropy": 2.144850969314575, "loss/hidden": 3.321484375, "loss/jsd": 0.0, "loss/logits": 0.18078193911351265, "step": 11380 }, { "epoch": 0.28475, "grad_norm": 29.25, "grad_norm_var": 1.7212890625, "learning_rate": 0.0001, "loss": 7.3, "loss/crossentropy": 2.1646609872579576, "loss/hidden": 3.3140625, "loss/jsd": 0.0, "loss/logits": 0.18855173885822296, "step": 11390 }, { "epoch": 0.285, "grad_norm": 31.875, "grad_norm_var": 2.5837890625, "learning_rate": 0.0001, "loss": 7.2976, "loss/crossentropy": 2.120090515911579, "loss/hidden": 3.308203125, "loss/jsd": 0.0, "loss/logits": 0.17507072482258082, "step": 11400 }, { "epoch": 0.28525, "grad_norm": 29.375, "grad_norm_var": 2.0785807291666667, "learning_rate": 0.0001, "loss": 7.4018, "loss/crossentropy": 2.0800730645656587, "loss/hidden": 3.43046875, "loss/jsd": 0.0, "loss/logits": 0.20872990731149912, "step": 11410 }, { "epoch": 0.2855, "grad_norm": 30.25, "grad_norm_var": 13.87890625, "learning_rate": 0.0001, "loss": 7.1549, "loss/crossentropy": 2.1735212251544, "loss/hidden": 3.25625, "loss/jsd": 0.0, "loss/logits": 0.18148906547576188, "step": 11420 }, { "epoch": 0.28575, "grad_norm": 30.375, "grad_norm_var": 15.132747395833333, "learning_rate": 0.0001, "loss": 7.206, "loss/crossentropy": 1.8314741916954518, "loss/hidden": 3.272265625, "loss/jsd": 0.0, "loss/logits": 0.17273464631289243, "step": 11430 }, { "epoch": 0.286, "grad_norm": 28.875, "grad_norm_var": 2.2330729166666665, "learning_rate": 0.0001, "loss": 7.3502, "loss/crossentropy": 1.9636109337210654, "loss/hidden": 3.329296875, "loss/jsd": 0.0, "loss/logits": 0.16999556813389063, "step": 11440 }, { "epoch": 0.28625, "grad_norm": 30.5, "grad_norm_var": 1.8009765625, "learning_rate": 0.0001, "loss": 7.2893, "loss/crossentropy": 1.9146189287304878, "loss/hidden": 3.425390625, "loss/jsd": 0.0, "loss/logits": 0.1754764079116285, "step": 11450 }, { "epoch": 0.2865, "grad_norm": 31.75, "grad_norm_var": 1.9197265625, "learning_rate": 0.0001, "loss": 7.3233, "loss/crossentropy": 2.0301330149173737, "loss/hidden": 3.351171875, "loss/jsd": 0.0, "loss/logits": 0.1742406915873289, "step": 11460 }, { "epoch": 0.28675, "grad_norm": 34.25, "grad_norm_var": 3.8009765625, "learning_rate": 0.0001, "loss": 7.4231, "loss/crossentropy": 2.1827415734529496, "loss/hidden": 3.33515625, "loss/jsd": 0.0, "loss/logits": 0.18332260251045226, "step": 11470 }, { "epoch": 0.287, "grad_norm": 30.875, "grad_norm_var": 3.479622395833333, "learning_rate": 0.0001, "loss": 7.3842, "loss/crossentropy": 1.9815428338944912, "loss/hidden": 3.33125, "loss/jsd": 0.0, "loss/logits": 0.17839936017990113, "step": 11480 }, { "epoch": 0.28725, "grad_norm": 30.125, "grad_norm_var": 12.9228515625, "learning_rate": 0.0001, "loss": 7.3888, "loss/crossentropy": 2.10543007850647, "loss/hidden": 3.29765625, "loss/jsd": 0.0, "loss/logits": 0.18028822876513004, "step": 11490 }, { "epoch": 0.2875, "grad_norm": 30.5, "grad_norm_var": 0.9973307291666667, "learning_rate": 0.0001, "loss": 7.2278, "loss/crossentropy": 1.9690312303602695, "loss/hidden": 3.35390625, "loss/jsd": 0.0, "loss/logits": 0.19321996718645096, "step": 11500 }, { "epoch": 0.28775, "grad_norm": 29.5, "grad_norm_var": 7.462239583333333, "learning_rate": 0.0001, "loss": 7.4485, "loss/crossentropy": 2.0997009545564653, "loss/hidden": 3.371875, "loss/jsd": 0.0, "loss/logits": 0.1947010463103652, "step": 11510 }, { "epoch": 0.288, "grad_norm": 30.625, "grad_norm_var": 6.814583333333333, "learning_rate": 0.0001, "loss": 7.4014, "loss/crossentropy": 2.041436542570591, "loss/hidden": 3.371484375, "loss/jsd": 0.0, "loss/logits": 0.17614111984148623, "step": 11520 }, { "epoch": 0.28825, "grad_norm": 29.625, "grad_norm_var": 1.7247395833333334, "learning_rate": 0.0001, "loss": 7.3231, "loss/crossentropy": 2.056125995516777, "loss/hidden": 3.475, "loss/jsd": 0.0, "loss/logits": 0.20333750136196613, "step": 11530 }, { "epoch": 0.2885, "grad_norm": 30.5, "grad_norm_var": 3.0014973958333333, "learning_rate": 0.0001, "loss": 7.2735, "loss/crossentropy": 1.9806349158287049, "loss/hidden": 3.306640625, "loss/jsd": 0.0, "loss/logits": 0.17432715664617718, "step": 11540 }, { "epoch": 0.28875, "grad_norm": 32.75, "grad_norm_var": 1.6973307291666666, "learning_rate": 0.0001, "loss": 7.3842, "loss/crossentropy": 2.0468244731426237, "loss/hidden": 3.506640625, "loss/jsd": 0.0, "loss/logits": 0.19939990881830455, "step": 11550 }, { "epoch": 0.289, "grad_norm": 31.625, "grad_norm_var": 3.546875, "learning_rate": 0.0001, "loss": 7.4212, "loss/crossentropy": 2.1170118719339373, "loss/hidden": 3.452734375, "loss/jsd": 0.0, "loss/logits": 0.1938545262441039, "step": 11560 }, { "epoch": 0.28925, "grad_norm": 29.0, "grad_norm_var": 6.987239583333333, "learning_rate": 0.0001, "loss": 7.3068, "loss/crossentropy": 1.9378852248191833, "loss/hidden": 3.392578125, "loss/jsd": 0.0, "loss/logits": 0.18525508288294076, "step": 11570 }, { "epoch": 0.2895, "grad_norm": 32.25, "grad_norm_var": 7.7650390625, "learning_rate": 0.0001, "loss": 7.3939, "loss/crossentropy": 2.094913274049759, "loss/hidden": 3.328125, "loss/jsd": 0.0, "loss/logits": 0.19857972972095012, "step": 11580 }, { "epoch": 0.28975, "grad_norm": 31.0, "grad_norm_var": 2.3934895833333334, "learning_rate": 0.0001, "loss": 7.3634, "loss/crossentropy": 2.112175312638283, "loss/hidden": 3.391796875, "loss/jsd": 0.0, "loss/logits": 0.1923027027398348, "step": 11590 }, { "epoch": 0.29, "grad_norm": 29.75, "grad_norm_var": 2.8676432291666667, "learning_rate": 0.0001, "loss": 7.4788, "loss/crossentropy": 2.347763030230999, "loss/hidden": 3.379296875, "loss/jsd": 0.0, "loss/logits": 0.20385736282914876, "step": 11600 }, { "epoch": 0.29025, "grad_norm": 36.0, "grad_norm_var": 2.1060661210680481e+18, "learning_rate": 0.0001, "loss": 7.482, "loss/crossentropy": 2.1438632771372794, "loss/hidden": 3.375390625, "loss/jsd": 0.0, "loss/logits": 0.1947392811998725, "step": 11610 }, { "epoch": 0.2905, "grad_norm": 31.5, "grad_norm_var": 2.1060661214006216e+18, "learning_rate": 0.0001, "loss": 7.2853, "loss/crossentropy": 2.080791215598583, "loss/hidden": 3.2875, "loss/jsd": 0.0, "loss/logits": 0.19497475158423186, "step": 11620 }, { "epoch": 0.29075, "grad_norm": 30.0, "grad_norm_var": 1.5931640625, "learning_rate": 0.0001, "loss": 7.2971, "loss/crossentropy": 2.16863374710083, "loss/hidden": 3.30390625, "loss/jsd": 0.0, "loss/logits": 0.18860027231276036, "step": 11630 }, { "epoch": 0.291, "grad_norm": 31.625, "grad_norm_var": 1.5994140625, "learning_rate": 0.0001, "loss": 7.3835, "loss/crossentropy": 2.061967647075653, "loss/hidden": 3.366015625, "loss/jsd": 0.0, "loss/logits": 0.18620339650660753, "step": 11640 }, { "epoch": 0.29125, "grad_norm": 33.0, "grad_norm_var": 3.690207280948122e+18, "learning_rate": 0.0001, "loss": 7.3738, "loss/crossentropy": 2.0998649850487707, "loss/hidden": 3.279296875, "loss/jsd": 0.0, "loss/logits": 0.18567133340984582, "step": 11650 }, { "epoch": 0.2915, "grad_norm": 29.0, "grad_norm_var": 29.6228515625, "learning_rate": 0.0001, "loss": 7.2405, "loss/crossentropy": 2.1259921073913572, "loss/hidden": 3.326953125, "loss/jsd": 0.0, "loss/logits": 0.18609032463282346, "step": 11660 }, { "epoch": 0.29175, "grad_norm": 31.0, "grad_norm_var": 14.421809895833333, "learning_rate": 0.0001, "loss": 7.4326, "loss/crossentropy": 2.066218351200223, "loss/hidden": 3.348828125, "loss/jsd": 0.0, "loss/logits": 0.1920524787157774, "step": 11670 }, { "epoch": 0.292, "grad_norm": 27.875, "grad_norm_var": 49.305989583333336, "learning_rate": 0.0001, "loss": 7.2881, "loss/crossentropy": 2.07202163413167, "loss/hidden": 3.35, "loss/jsd": 0.0, "loss/logits": 0.18048244724050164, "step": 11680 }, { "epoch": 0.29225, "grad_norm": 31.875, "grad_norm_var": 4.995247395833333, "learning_rate": 0.0001, "loss": 7.2687, "loss/crossentropy": 2.045185898244381, "loss/hidden": 3.275, "loss/jsd": 0.0, "loss/logits": 0.17395208198577167, "step": 11690 }, { "epoch": 0.2925, "grad_norm": 30.0, "grad_norm_var": 5.696875, "learning_rate": 0.0001, "loss": 7.3259, "loss/crossentropy": 2.3408665537834166, "loss/hidden": 3.345703125, "loss/jsd": 0.0, "loss/logits": 0.20136666856706142, "step": 11700 }, { "epoch": 0.29275, "grad_norm": 30.0, "grad_norm_var": 3.7421223958333334, "learning_rate": 0.0001, "loss": 7.2137, "loss/crossentropy": 1.9074330985546113, "loss/hidden": 3.349609375, "loss/jsd": 0.0, "loss/logits": 0.1704694928601384, "step": 11710 }, { "epoch": 0.293, "grad_norm": 31.5, "grad_norm_var": 5.803125, "learning_rate": 0.0001, "loss": 7.2817, "loss/crossentropy": 2.290114316344261, "loss/hidden": 3.36484375, "loss/jsd": 0.0, "loss/logits": 0.20061923637986184, "step": 11720 }, { "epoch": 0.29325, "grad_norm": 31.125, "grad_norm_var": 2.4936848958333333, "learning_rate": 0.0001, "loss": 7.4136, "loss/crossentropy": 2.2652835667133333, "loss/hidden": 3.29375, "loss/jsd": 0.0, "loss/logits": 0.18269798178225755, "step": 11730 }, { "epoch": 0.2935, "grad_norm": 31.875, "grad_norm_var": 2.06640625, "learning_rate": 0.0001, "loss": 7.3219, "loss/crossentropy": 2.047122722864151, "loss/hidden": 3.361328125, "loss/jsd": 0.0, "loss/logits": 0.18665554728358985, "step": 11740 }, { "epoch": 0.29375, "grad_norm": 29.875, "grad_norm_var": 11.484309895833333, "learning_rate": 0.0001, "loss": 7.4668, "loss/crossentropy": 2.0893666088581084, "loss/hidden": 3.350390625, "loss/jsd": 0.0, "loss/logits": 0.18700389545410873, "step": 11750 }, { "epoch": 0.294, "grad_norm": 33.25, "grad_norm_var": 2.412239583333333, "learning_rate": 0.0001, "loss": 7.3389, "loss/crossentropy": 2.0646077781915664, "loss/hidden": 3.3890625, "loss/jsd": 0.0, "loss/logits": 0.1896628426387906, "step": 11760 }, { "epoch": 0.29425, "grad_norm": 36.75, "grad_norm_var": 15.843489583333334, "learning_rate": 0.0001, "loss": 7.3537, "loss/crossentropy": 2.14951953291893, "loss/hidden": 3.420703125, "loss/jsd": 0.0, "loss/logits": 0.19772466979920864, "step": 11770 }, { "epoch": 0.2945, "grad_norm": 34.0, "grad_norm_var": 15.808333333333334, "learning_rate": 0.0001, "loss": 7.2266, "loss/crossentropy": 1.9084580048918725, "loss/hidden": 3.31953125, "loss/jsd": 0.0, "loss/logits": 0.17457483559846879, "step": 11780 }, { "epoch": 0.29475, "grad_norm": 30.5, "grad_norm_var": 17.133268229166667, "learning_rate": 0.0001, "loss": 7.4198, "loss/crossentropy": 2.1059816129505635, "loss/hidden": 3.2609375, "loss/jsd": 0.0, "loss/logits": 0.19060559011995792, "step": 11790 }, { "epoch": 0.295, "grad_norm": 28.875, "grad_norm_var": 15.191666666666666, "learning_rate": 0.0001, "loss": 7.3353, "loss/crossentropy": 2.0854270696640014, "loss/hidden": 3.340625, "loss/jsd": 0.0, "loss/logits": 0.18200992513448, "step": 11800 }, { "epoch": 0.29525, "grad_norm": 33.0, "grad_norm_var": 5.77890625, "learning_rate": 0.0001, "loss": 7.338, "loss/crossentropy": 2.0409404814243315, "loss/hidden": 3.3640625, "loss/jsd": 0.0, "loss/logits": 0.18492084443569184, "step": 11810 }, { "epoch": 0.2955, "grad_norm": 28.25, "grad_norm_var": 4.9556640625, "learning_rate": 0.0001, "loss": 7.2394, "loss/crossentropy": 2.1242421194911003, "loss/hidden": 3.318359375, "loss/jsd": 0.0, "loss/logits": 0.17592983674257995, "step": 11820 }, { "epoch": 0.29575, "grad_norm": 32.75, "grad_norm_var": 12.3994140625, "learning_rate": 0.0001, "loss": 7.3172, "loss/crossentropy": 2.135970714688301, "loss/hidden": 3.328125, "loss/jsd": 0.0, "loss/logits": 0.1905512258410454, "step": 11830 }, { "epoch": 0.296, "grad_norm": 31.125, "grad_norm_var": 13.479166666666666, "learning_rate": 0.0001, "loss": 7.3928, "loss/crossentropy": 2.0788447827100756, "loss/hidden": 3.35859375, "loss/jsd": 0.0, "loss/logits": 0.18583104945719242, "step": 11840 }, { "epoch": 0.29625, "grad_norm": 29.375, "grad_norm_var": 5.16640625, "learning_rate": 0.0001, "loss": 7.2575, "loss/crossentropy": 2.0609687596559523, "loss/hidden": 3.36875, "loss/jsd": 0.0, "loss/logits": 0.1885878125205636, "step": 11850 }, { "epoch": 0.2965, "grad_norm": 33.5, "grad_norm_var": 4.534309895833333, "learning_rate": 0.0001, "loss": 7.2397, "loss/crossentropy": 2.113059785962105, "loss/hidden": 3.347265625, "loss/jsd": 0.0, "loss/logits": 0.19279801957309245, "step": 11860 }, { "epoch": 0.29675, "grad_norm": 28.0, "grad_norm_var": 2.833268229166667, "learning_rate": 0.0001, "loss": 7.4813, "loss/crossentropy": 2.2016214139759542, "loss/hidden": 3.325, "loss/jsd": 0.0, "loss/logits": 0.19246475584805012, "step": 11870 }, { "epoch": 0.297, "grad_norm": 35.5, "grad_norm_var": 5.829622395833334, "learning_rate": 0.0001, "loss": 7.4107, "loss/crossentropy": 2.1937885224819182, "loss/hidden": 3.394921875, "loss/jsd": 0.0, "loss/logits": 0.20546972285956144, "step": 11880 }, { "epoch": 0.29725, "grad_norm": 32.25, "grad_norm_var": 5.101041666666666, "learning_rate": 0.0001, "loss": 7.4133, "loss/crossentropy": 2.112873890995979, "loss/hidden": 3.4078125, "loss/jsd": 0.0, "loss/logits": 0.19512166157364846, "step": 11890 }, { "epoch": 0.2975, "grad_norm": 29.0, "grad_norm_var": 4.71875, "learning_rate": 0.0001, "loss": 7.3659, "loss/crossentropy": 2.068368895351887, "loss/hidden": 3.427734375, "loss/jsd": 0.0, "loss/logits": 0.22229769406840205, "step": 11900 }, { "epoch": 0.29775, "grad_norm": 28.25, "grad_norm_var": 30.575, "learning_rate": 0.0001, "loss": 7.3459, "loss/crossentropy": 1.9633590430021286, "loss/hidden": 3.429296875, "loss/jsd": 0.0, "loss/logits": 0.1919392876327038, "step": 11910 }, { "epoch": 0.298, "grad_norm": 31.5, "grad_norm_var": 25.169205729166666, "learning_rate": 0.0001, "loss": 7.2575, "loss/crossentropy": 2.0932082675397394, "loss/hidden": 3.3484375, "loss/jsd": 0.0, "loss/logits": 0.18578519038856028, "step": 11920 }, { "epoch": 0.29825, "grad_norm": 29.375, "grad_norm_var": 1.9197916666666666, "learning_rate": 0.0001, "loss": 7.3554, "loss/crossentropy": 2.0443739868700503, "loss/hidden": 3.39140625, "loss/jsd": 0.0, "loss/logits": 0.18646586760878564, "step": 11930 }, { "epoch": 0.2985, "grad_norm": 29.125, "grad_norm_var": 1.1629557291666666, "learning_rate": 0.0001, "loss": 7.3341, "loss/crossentropy": 2.0645432278513907, "loss/hidden": 3.369921875, "loss/jsd": 0.0, "loss/logits": 0.20268544293940066, "step": 11940 }, { "epoch": 0.29875, "grad_norm": 29.25, "grad_norm_var": 4.085416666666666, "learning_rate": 0.0001, "loss": 7.2596, "loss/crossentropy": 1.8821386724710465, "loss/hidden": 3.37265625, "loss/jsd": 0.0, "loss/logits": 0.17970443107187747, "step": 11950 }, { "epoch": 0.299, "grad_norm": 29.75, "grad_norm_var": 2.4072265625, "learning_rate": 0.0001, "loss": 7.3139, "loss/crossentropy": 2.1848059430718423, "loss/hidden": 3.311328125, "loss/jsd": 0.0, "loss/logits": 0.19258468672633172, "step": 11960 }, { "epoch": 0.29925, "grad_norm": 28.625, "grad_norm_var": 1.49140625, "learning_rate": 0.0001, "loss": 7.3064, "loss/crossentropy": 1.9953081101179122, "loss/hidden": 3.341015625, "loss/jsd": 0.0, "loss/logits": 0.17766128927469255, "step": 11970 }, { "epoch": 0.2995, "grad_norm": 30.625, "grad_norm_var": 3.527083333333333, "learning_rate": 0.0001, "loss": 7.3213, "loss/crossentropy": 1.9512401312589644, "loss/hidden": 3.257421875, "loss/jsd": 0.0, "loss/logits": 0.16765224877744914, "step": 11980 }, { "epoch": 0.29975, "grad_norm": 31.875, "grad_norm_var": 2.8322265625, "learning_rate": 0.0001, "loss": 7.3373, "loss/crossentropy": 2.134880567342043, "loss/hidden": 3.353515625, "loss/jsd": 0.0, "loss/logits": 0.19845206197351217, "step": 11990 }, { "epoch": 0.3, "grad_norm": 29.0, "grad_norm_var": 1.88515625, "learning_rate": 0.0001, "loss": 7.3355, "loss/crossentropy": 2.084690621495247, "loss/hidden": 3.325, "loss/jsd": 0.0, "loss/logits": 0.18881614562124013, "step": 12000 }, { "epoch": 0.30025, "grad_norm": 29.375, "grad_norm_var": 1.678125, "learning_rate": 0.0001, "loss": 7.2797, "loss/crossentropy": 2.0142040476202965, "loss/hidden": 3.277734375, "loss/jsd": 0.0, "loss/logits": 0.17630351725965737, "step": 12010 }, { "epoch": 0.3005, "grad_norm": 30.125, "grad_norm_var": 1.0702473958333334, "learning_rate": 0.0001, "loss": 7.3524, "loss/crossentropy": 2.0099969252943994, "loss/hidden": 3.3703125, "loss/jsd": 0.0, "loss/logits": 0.17516886200755835, "step": 12020 }, { "epoch": 0.30075, "grad_norm": 30.125, "grad_norm_var": 2.1509765625, "learning_rate": 0.0001, "loss": 7.4081, "loss/crossentropy": 2.0550965458154677, "loss/hidden": 3.33359375, "loss/jsd": 0.0, "loss/logits": 0.18450612868182362, "step": 12030 }, { "epoch": 0.301, "grad_norm": 29.375, "grad_norm_var": 2.088997395833333, "learning_rate": 0.0001, "loss": 7.3732, "loss/crossentropy": 2.015381334722042, "loss/hidden": 3.434375, "loss/jsd": 0.0, "loss/logits": 0.19866329655051232, "step": 12040 }, { "epoch": 0.30125, "grad_norm": 32.5, "grad_norm_var": 28.125455729166667, "learning_rate": 0.0001, "loss": 7.3689, "loss/crossentropy": 2.0619105845689774, "loss/hidden": 3.41640625, "loss/jsd": 0.0, "loss/logits": 0.19213079251348972, "step": 12050 }, { "epoch": 0.3015, "grad_norm": 29.5, "grad_norm_var": 2.5869140625, "learning_rate": 0.0001, "loss": 7.3533, "loss/crossentropy": 2.059162912517786, "loss/hidden": 3.3625, "loss/jsd": 0.0, "loss/logits": 0.1831585830077529, "step": 12060 }, { "epoch": 0.30175, "grad_norm": 30.375, "grad_norm_var": 6.6150390625, "learning_rate": 0.0001, "loss": 7.339, "loss/crossentropy": 2.0344214349985124, "loss/hidden": 3.3328125, "loss/jsd": 0.0, "loss/logits": 0.18243852034211158, "step": 12070 }, { "epoch": 0.302, "grad_norm": 31.375, "grad_norm_var": 10.05390625, "learning_rate": 0.0001, "loss": 7.3457, "loss/crossentropy": 2.222717672586441, "loss/hidden": 3.28671875, "loss/jsd": 0.0, "loss/logits": 0.19160165078938007, "step": 12080 }, { "epoch": 0.30225, "grad_norm": 30.375, "grad_norm_var": 8.060416666666667, "learning_rate": 0.0001, "loss": 7.2928, "loss/crossentropy": 1.9902059100568295, "loss/hidden": 3.3921875, "loss/jsd": 0.0, "loss/logits": 0.1817794761620462, "step": 12090 }, { "epoch": 0.3025, "grad_norm": 29.0, "grad_norm_var": 4.048958333333333, "learning_rate": 0.0001, "loss": 7.403, "loss/crossentropy": 1.9990896947681904, "loss/hidden": 3.330859375, "loss/jsd": 0.0, "loss/logits": 0.17872856128960848, "step": 12100 }, { "epoch": 0.30275, "grad_norm": 32.0, "grad_norm_var": 14.486393229166667, "learning_rate": 0.0001, "loss": 7.3774, "loss/crossentropy": 2.178261125087738, "loss/hidden": 3.3796875, "loss/jsd": 0.0, "loss/logits": 0.19976076446473598, "step": 12110 }, { "epoch": 0.303, "grad_norm": 29.0, "grad_norm_var": 25.053059895833332, "learning_rate": 0.0001, "loss": 7.3852, "loss/crossentropy": 2.1738795921206475, "loss/hidden": 3.21171875, "loss/jsd": 0.0, "loss/logits": 0.1802441133186221, "step": 12120 }, { "epoch": 0.30325, "grad_norm": 32.5, "grad_norm_var": 27.863541666666666, "learning_rate": 0.0001, "loss": 7.3119, "loss/crossentropy": 2.017075891792774, "loss/hidden": 3.39296875, "loss/jsd": 0.0, "loss/logits": 0.1819239752367139, "step": 12130 }, { "epoch": 0.3035, "grad_norm": 5704253440.0, "grad_norm_var": 2.033656683216328e+18, "learning_rate": 0.0001, "loss": 7.3187, "loss/crossentropy": 2.1378798320889474, "loss/hidden": 3.403125, "loss/jsd": 0.0, "loss/logits": 0.18621215373277664, "step": 12140 }, { "epoch": 0.30375, "grad_norm": 28.5, "grad_norm_var": 2.0336566834599473e+18, "learning_rate": 0.0001, "loss": 7.3375, "loss/crossentropy": 2.0977103441953657, "loss/hidden": 3.33046875, "loss/jsd": 0.0, "loss/logits": 0.18937066961079835, "step": 12150 }, { "epoch": 0.304, "grad_norm": 30.0, "grad_norm_var": 25.7119140625, "learning_rate": 0.0001, "loss": 7.2813, "loss/crossentropy": 2.0422945946455, "loss/hidden": 3.29453125, "loss/jsd": 0.0, "loss/logits": 0.17747708465903997, "step": 12160 }, { "epoch": 0.30425, "grad_norm": 29.375, "grad_norm_var": 1.8973307291666666, "learning_rate": 0.0001, "loss": 7.2982, "loss/crossentropy": 2.1438152998685838, "loss/hidden": 3.4, "loss/jsd": 0.0, "loss/logits": 0.19225314557552337, "step": 12170 }, { "epoch": 0.3045, "grad_norm": 32.5, "grad_norm_var": 6.688997395833334, "learning_rate": 0.0001, "loss": 7.2886, "loss/crossentropy": 2.033204630762339, "loss/hidden": 3.326953125, "loss/jsd": 0.0, "loss/logits": 0.1741345826536417, "step": 12180 }, { "epoch": 0.30475, "grad_norm": 28.5, "grad_norm_var": 7.262434895833334, "learning_rate": 0.0001, "loss": 7.3812, "loss/crossentropy": 1.9149722829461098, "loss/hidden": 3.384765625, "loss/jsd": 0.0, "loss/logits": 0.16993715493008493, "step": 12190 }, { "epoch": 0.305, "grad_norm": 30.625, "grad_norm_var": 2.315625, "learning_rate": 0.0001, "loss": 7.355, "loss/crossentropy": 2.200256870687008, "loss/hidden": 3.3703125, "loss/jsd": 0.0, "loss/logits": 0.1957419654354453, "step": 12200 }, { "epoch": 0.30525, "grad_norm": 32.25, "grad_norm_var": 1.8291666666666666, "learning_rate": 0.0001, "loss": 7.2689, "loss/crossentropy": 1.9441036701202392, "loss/hidden": 3.450390625, "loss/jsd": 0.0, "loss/logits": 0.19158205185085536, "step": 12210 }, { "epoch": 0.3055, "grad_norm": 32.5, "grad_norm_var": 224.99993489583332, "learning_rate": 0.0001, "loss": 7.4205, "loss/crossentropy": 2.21477717012167, "loss/hidden": 3.353515625, "loss/jsd": 0.0, "loss/logits": 0.19972570687532426, "step": 12220 }, { "epoch": 0.30575, "grad_norm": 77.0, "grad_norm_var": 161.4994140625, "learning_rate": 0.0001, "loss": 7.3221, "loss/crossentropy": 2.243621972203255, "loss/hidden": 3.381640625, "loss/jsd": 0.0, "loss/logits": 0.20230026841163634, "step": 12230 }, { "epoch": 0.306, "grad_norm": 29.125, "grad_norm_var": 136.2509765625, "learning_rate": 0.0001, "loss": 7.2544, "loss/crossentropy": 2.1267666652798654, "loss/hidden": 3.30078125, "loss/jsd": 0.0, "loss/logits": 0.18361538834869862, "step": 12240 }, { "epoch": 0.30625, "grad_norm": 43.0, "grad_norm_var": 15.1384765625, "learning_rate": 0.0001, "loss": 7.3457, "loss/crossentropy": 2.097319718450308, "loss/hidden": 3.380859375, "loss/jsd": 0.0, "loss/logits": 0.1941752176731825, "step": 12250 }, { "epoch": 0.3065, "grad_norm": 27.125, "grad_norm_var": 45.91875, "learning_rate": 0.0001, "loss": 7.1913, "loss/crossentropy": 2.024158325791359, "loss/hidden": 3.301171875, "loss/jsd": 0.0, "loss/logits": 0.18036661259829997, "step": 12260 }, { "epoch": 0.30675, "grad_norm": 32.5, "grad_norm_var": 34.94765625, "learning_rate": 0.0001, "loss": 7.2604, "loss/crossentropy": 2.05818811878562, "loss/hidden": 3.384375, "loss/jsd": 0.0, "loss/logits": 0.19272202141582967, "step": 12270 }, { "epoch": 0.307, "grad_norm": 31.625, "grad_norm_var": 1.7958333333333334, "learning_rate": 0.0001, "loss": 7.3478, "loss/crossentropy": 2.058871729671955, "loss/hidden": 3.316015625, "loss/jsd": 0.0, "loss/logits": 0.1805756026878953, "step": 12280 }, { "epoch": 0.30725, "grad_norm": 37.0, "grad_norm_var": 4.418489583333334, "learning_rate": 0.0001, "loss": 7.3202, "loss/crossentropy": 1.9400940239429474, "loss/hidden": 3.41875, "loss/jsd": 0.0, "loss/logits": 0.19434008933603764, "step": 12290 }, { "epoch": 0.3075, "grad_norm": 30.5, "grad_norm_var": 30.1572265625, "learning_rate": 0.0001, "loss": 7.2939, "loss/crossentropy": 2.069047340750694, "loss/hidden": 3.42421875, "loss/jsd": 0.0, "loss/logits": 0.20558738969266416, "step": 12300 }, { "epoch": 0.30775, "grad_norm": 33.0, "grad_norm_var": 11.9666015625, "learning_rate": 0.0001, "loss": 7.4109, "loss/crossentropy": 2.227694994211197, "loss/hidden": 3.395703125, "loss/jsd": 0.0, "loss/logits": 0.18980047646909953, "step": 12310 }, { "epoch": 0.308, "grad_norm": 29.625, "grad_norm_var": 4.90390625, "learning_rate": 0.0001, "loss": 7.3686, "loss/crossentropy": 2.0309864141047003, "loss/hidden": 3.42578125, "loss/jsd": 0.0, "loss/logits": 0.1816682495176792, "step": 12320 }, { "epoch": 0.30825, "grad_norm": 30.125, "grad_norm_var": 1.7249348958333333, "learning_rate": 0.0001, "loss": 7.4105, "loss/crossentropy": 2.2505668699741364, "loss/hidden": 3.307421875, "loss/jsd": 0.0, "loss/logits": 0.19684594608843325, "step": 12330 }, { "epoch": 0.3085, "grad_norm": 30.75, "grad_norm_var": 1.9535807291666667, "learning_rate": 0.0001, "loss": 7.3679, "loss/crossentropy": 2.0422501020133494, "loss/hidden": 3.223828125, "loss/jsd": 0.0, "loss/logits": 0.1723391016945243, "step": 12340 }, { "epoch": 0.30875, "grad_norm": 30.25, "grad_norm_var": 1.9186848958333333, "learning_rate": 0.0001, "loss": 7.3186, "loss/crossentropy": 2.190096604824066, "loss/hidden": 3.299609375, "loss/jsd": 0.0, "loss/logits": 0.1794669708237052, "step": 12350 }, { "epoch": 0.309, "grad_norm": 30.0, "grad_norm_var": 1.7926432291666667, "learning_rate": 0.0001, "loss": 7.2068, "loss/crossentropy": 2.011892383173108, "loss/hidden": 3.3046875, "loss/jsd": 0.0, "loss/logits": 0.17626657225191594, "step": 12360 }, { "epoch": 0.30925, "grad_norm": 32.25, "grad_norm_var": 3.3900390625, "learning_rate": 0.0001, "loss": 7.3963, "loss/crossentropy": 2.1367972552776338, "loss/hidden": 3.356640625, "loss/jsd": 0.0, "loss/logits": 0.19975323602557182, "step": 12370 }, { "epoch": 0.3095, "grad_norm": 30.875, "grad_norm_var": 2.9785807291666666, "learning_rate": 0.0001, "loss": 7.3586, "loss/crossentropy": 2.1065737903118134, "loss/hidden": 3.3296875, "loss/jsd": 0.0, "loss/logits": 0.1861647253856063, "step": 12380 }, { "epoch": 0.30975, "grad_norm": 34.0, "grad_norm_var": 49.94583333333333, "learning_rate": 0.0001, "loss": 7.4425, "loss/crossentropy": 2.047655486315489, "loss/hidden": 3.39765625, "loss/jsd": 0.0, "loss/logits": 0.19645441174507142, "step": 12390 }, { "epoch": 0.31, "grad_norm": 30.75, "grad_norm_var": 55.521809895833336, "learning_rate": 0.0001, "loss": 7.3384, "loss/crossentropy": 2.1421022772789002, "loss/hidden": 3.453515625, "loss/jsd": 0.0, "loss/logits": 0.21594423688948156, "step": 12400 }, { "epoch": 0.31025, "grad_norm": 28.625, "grad_norm_var": 3.630989583333333, "learning_rate": 0.0001, "loss": 7.4915, "loss/crossentropy": 1.9852606005966664, "loss/hidden": 3.3875, "loss/jsd": 0.0, "loss/logits": 0.1970728723332286, "step": 12410 }, { "epoch": 0.3105, "grad_norm": 30.375, "grad_norm_var": 13.821875, "learning_rate": 0.0001, "loss": 7.316, "loss/crossentropy": 2.0221208080649378, "loss/hidden": 3.40546875, "loss/jsd": 0.0, "loss/logits": 0.18263351675122977, "step": 12420 }, { "epoch": 0.31075, "grad_norm": 27.75, "grad_norm_var": 3.7905598958333333, "learning_rate": 0.0001, "loss": 7.4569, "loss/crossentropy": 2.2214868292212486, "loss/hidden": 3.430078125, "loss/jsd": 0.0, "loss/logits": 0.20803299229592084, "step": 12430 }, { "epoch": 0.311, "grad_norm": 28.0, "grad_norm_var": 5.039322916666666, "learning_rate": 0.0001, "loss": 7.2246, "loss/crossentropy": 1.968916893005371, "loss/hidden": 3.398046875, "loss/jsd": 0.0, "loss/logits": 0.1823066620156169, "step": 12440 }, { "epoch": 0.31125, "grad_norm": 32.25, "grad_norm_var": 3.011458333333333, "learning_rate": 0.0001, "loss": 7.2986, "loss/crossentropy": 2.102560856938362, "loss/hidden": 3.462109375, "loss/jsd": 0.0, "loss/logits": 0.19421595316380263, "step": 12450 }, { "epoch": 0.3115, "grad_norm": 31.625, "grad_norm_var": 1.7122395833333333, "learning_rate": 0.0001, "loss": 7.4102, "loss/crossentropy": 1.8904587842524052, "loss/hidden": 3.33671875, "loss/jsd": 0.0, "loss/logits": 0.16765992902219296, "step": 12460 }, { "epoch": 0.31175, "grad_norm": 32.75, "grad_norm_var": 1.3614583333333334, "learning_rate": 0.0001, "loss": 7.317, "loss/crossentropy": 2.2456528916954994, "loss/hidden": 3.3265625, "loss/jsd": 0.0, "loss/logits": 0.18445245549082756, "step": 12470 }, { "epoch": 0.312, "grad_norm": 32.5, "grad_norm_var": 2.9613932291666667, "learning_rate": 0.0001, "loss": 7.2527, "loss/crossentropy": 1.9254849448800087, "loss/hidden": 3.330859375, "loss/jsd": 0.0, "loss/logits": 0.17210696106776596, "step": 12480 }, { "epoch": 0.31225, "grad_norm": 29.0, "grad_norm_var": 2.503059895833333, "learning_rate": 0.0001, "loss": 7.3589, "loss/crossentropy": 1.963121373206377, "loss/hidden": 3.3421875, "loss/jsd": 0.0, "loss/logits": 0.17580699175596237, "step": 12490 }, { "epoch": 0.3125, "grad_norm": 27.375, "grad_norm_var": 2.6510416666666665, "learning_rate": 0.0001, "loss": 7.3302, "loss/crossentropy": 2.0668979212641716, "loss/hidden": 3.33828125, "loss/jsd": 0.0, "loss/logits": 0.1756731817498803, "step": 12500 }, { "epoch": 0.31275, "grad_norm": 32.5, "grad_norm_var": 9.658072916666667, "learning_rate": 0.0001, "loss": 7.396, "loss/crossentropy": 2.0963846892118454, "loss/hidden": 3.37578125, "loss/jsd": 0.0, "loss/logits": 0.19187606330960988, "step": 12510 }, { "epoch": 0.313, "grad_norm": 28.125, "grad_norm_var": 8.387239583333333, "learning_rate": 0.0001, "loss": 7.291, "loss/crossentropy": 2.1238081738352776, "loss/hidden": 3.319921875, "loss/jsd": 0.0, "loss/logits": 0.18899311302229763, "step": 12520 }, { "epoch": 0.31325, "grad_norm": 30.625, "grad_norm_var": 2.2712890625, "learning_rate": 0.0001, "loss": 7.2927, "loss/crossentropy": 1.8629853092133999, "loss/hidden": 3.430078125, "loss/jsd": 0.0, "loss/logits": 0.18793845577165486, "step": 12530 }, { "epoch": 0.3135, "grad_norm": 31.25, "grad_norm_var": 29.926041666666666, "learning_rate": 0.0001, "loss": 7.334, "loss/crossentropy": 2.1922558069229128, "loss/hidden": 3.371484375, "loss/jsd": 0.0, "loss/logits": 0.18994415253400804, "step": 12540 }, { "epoch": 0.31375, "grad_norm": 33.0, "grad_norm_var": 19.626822916666665, "learning_rate": 0.0001, "loss": 7.4246, "loss/crossentropy": 2.0747738771140574, "loss/hidden": 3.463671875, "loss/jsd": 0.0, "loss/logits": 0.1956952316686511, "step": 12550 }, { "epoch": 0.314, "grad_norm": 31.0, "grad_norm_var": 5.9822265625, "learning_rate": 0.0001, "loss": 7.3921, "loss/crossentropy": 2.168559101223946, "loss/hidden": 3.346875, "loss/jsd": 0.0, "loss/logits": 0.19871533028781413, "step": 12560 }, { "epoch": 0.31425, "grad_norm": 29.875, "grad_norm_var": 23.478125, "learning_rate": 0.0001, "loss": 7.381, "loss/crossentropy": 2.1687012270092962, "loss/hidden": 3.2828125, "loss/jsd": 0.0, "loss/logits": 0.17819978184998037, "step": 12570 }, { "epoch": 0.3145, "grad_norm": 30.5, "grad_norm_var": 24.369791666666668, "learning_rate": 0.0001, "loss": 7.2273, "loss/crossentropy": 2.0223761543631555, "loss/hidden": 3.2953125, "loss/jsd": 0.0, "loss/logits": 0.17995049208402633, "step": 12580 }, { "epoch": 0.31475, "grad_norm": 31.125, "grad_norm_var": 3.8067057291666666, "learning_rate": 0.0001, "loss": 7.3672, "loss/crossentropy": 2.056264813989401, "loss/hidden": 3.40390625, "loss/jsd": 0.0, "loss/logits": 0.19224987253546716, "step": 12590 }, { "epoch": 0.315, "grad_norm": 30.125, "grad_norm_var": 3.3018229166666666, "learning_rate": 0.0001, "loss": 7.2404, "loss/crossentropy": 2.0127123326063154, "loss/hidden": 3.36640625, "loss/jsd": 0.0, "loss/logits": 0.17083216030150652, "step": 12600 }, { "epoch": 0.31525, "grad_norm": 31.25, "grad_norm_var": 2.94375, "learning_rate": 0.0001, "loss": 7.3918, "loss/crossentropy": 2.0961378000676634, "loss/hidden": 3.3796875, "loss/jsd": 0.0, "loss/logits": 0.18820952698588372, "step": 12610 }, { "epoch": 0.3155, "grad_norm": 30.75, "grad_norm_var": 3.910416666666667, "learning_rate": 0.0001, "loss": 7.2715, "loss/crossentropy": 2.1737264052033423, "loss/hidden": 3.33359375, "loss/jsd": 0.0, "loss/logits": 0.1752359176054597, "step": 12620 }, { "epoch": 0.31575, "grad_norm": 28.5, "grad_norm_var": 12.914322916666666, "learning_rate": 0.0001, "loss": 7.2866, "loss/crossentropy": 2.04836600497365, "loss/hidden": 3.308984375, "loss/jsd": 0.0, "loss/logits": 0.1814719710499048, "step": 12630 }, { "epoch": 0.316, "grad_norm": 32.5, "grad_norm_var": 5.895572916666667, "learning_rate": 0.0001, "loss": 7.4359, "loss/crossentropy": 2.0633833378553392, "loss/hidden": 3.38515625, "loss/jsd": 0.0, "loss/logits": 0.1844972724094987, "step": 12640 }, { "epoch": 0.31625, "grad_norm": 29.5, "grad_norm_var": 4.556705729166667, "learning_rate": 0.0001, "loss": 7.3404, "loss/crossentropy": 2.1031613536179066, "loss/hidden": 3.38671875, "loss/jsd": 0.0, "loss/logits": 0.1890261113177985, "step": 12650 }, { "epoch": 0.3165, "grad_norm": 33.25, "grad_norm_var": 7.43515625, "learning_rate": 0.0001, "loss": 7.3116, "loss/crossentropy": 2.0913070663809776, "loss/hidden": 3.48515625, "loss/jsd": 0.0, "loss/logits": 0.19625448603183032, "step": 12660 }, { "epoch": 0.31675, "grad_norm": 30.0, "grad_norm_var": 24.72265625, "learning_rate": 0.0001, "loss": 7.309, "loss/crossentropy": 2.1766112834215163, "loss/hidden": 3.398046875, "loss/jsd": 0.0, "loss/logits": 0.19453570377081633, "step": 12670 }, { "epoch": 0.317, "grad_norm": 28.0, "grad_norm_var": 3.5518229166666666, "learning_rate": 0.0001, "loss": 7.2193, "loss/crossentropy": 2.1292213678359984, "loss/hidden": 3.312890625, "loss/jsd": 0.0, "loss/logits": 0.17923556556925177, "step": 12680 }, { "epoch": 0.31725, "grad_norm": 33.75, "grad_norm_var": 3.2041666666666666, "learning_rate": 0.0001, "loss": 7.3568, "loss/crossentropy": 2.0966979548335076, "loss/hidden": 3.34375, "loss/jsd": 0.0, "loss/logits": 0.1796438904479146, "step": 12690 }, { "epoch": 0.3175, "grad_norm": 30.125, "grad_norm_var": 21.9853515625, "learning_rate": 0.0001, "loss": 7.3281, "loss/crossentropy": 2.2050976656377315, "loss/hidden": 3.317578125, "loss/jsd": 0.0, "loss/logits": 0.18696724623441696, "step": 12700 }, { "epoch": 0.31775, "grad_norm": 31.25, "grad_norm_var": 20.936458333333334, "learning_rate": 0.0001, "loss": 7.2583, "loss/crossentropy": 2.0703148849308493, "loss/hidden": 3.267578125, "loss/jsd": 0.0, "loss/logits": 0.17689838781952857, "step": 12710 }, { "epoch": 0.318, "grad_norm": 31.75, "grad_norm_var": 1.9395833333333334, "learning_rate": 0.0001, "loss": 7.3007, "loss/crossentropy": 1.9791635520756246, "loss/hidden": 3.359375, "loss/jsd": 0.0, "loss/logits": 0.17443582694977522, "step": 12720 }, { "epoch": 0.31825, "grad_norm": 30.25, "grad_norm_var": 2.5155598958333334, "learning_rate": 0.0001, "loss": 7.2557, "loss/crossentropy": 2.0753975957632065, "loss/hidden": 3.319140625, "loss/jsd": 0.0, "loss/logits": 0.18456004988402128, "step": 12730 }, { "epoch": 0.3185, "grad_norm": 29.125, "grad_norm_var": 1.3518229166666667, "learning_rate": 0.0001, "loss": 7.2658, "loss/crossentropy": 2.0314756602048876, "loss/hidden": 3.3890625, "loss/jsd": 0.0, "loss/logits": 0.18754468094557525, "step": 12740 }, { "epoch": 0.31875, "grad_norm": 29.25, "grad_norm_var": 1.6634765625, "learning_rate": 0.0001, "loss": 7.2545, "loss/crossentropy": 2.027373602986336, "loss/hidden": 3.366796875, "loss/jsd": 0.0, "loss/logits": 0.18138464018702508, "step": 12750 }, { "epoch": 0.319, "grad_norm": 33.0, "grad_norm_var": 2.2837890625, "learning_rate": 0.0001, "loss": 7.2711, "loss/crossentropy": 2.0996690608561037, "loss/hidden": 3.408984375, "loss/jsd": 0.0, "loss/logits": 0.19384829625487326, "step": 12760 }, { "epoch": 0.31925, "grad_norm": 29.5, "grad_norm_var": 1.7580729166666667, "learning_rate": 0.0001, "loss": 7.3448, "loss/crossentropy": 2.081255576014519, "loss/hidden": 3.48515625, "loss/jsd": 0.0, "loss/logits": 0.2054756512865424, "step": 12770 }, { "epoch": 0.3195, "grad_norm": 30.375, "grad_norm_var": 1.6337890625, "learning_rate": 0.0001, "loss": 7.3614, "loss/crossentropy": 2.109497997164726, "loss/hidden": 3.2984375, "loss/jsd": 0.0, "loss/logits": 0.1826931856572628, "step": 12780 }, { "epoch": 0.31975, "grad_norm": 29.125, "grad_norm_var": 2.9125, "learning_rate": 0.0001, "loss": 7.3569, "loss/crossentropy": 2.071355660259724, "loss/hidden": 3.390625, "loss/jsd": 0.0, "loss/logits": 0.18764556515961886, "step": 12790 }, { "epoch": 0.32, "grad_norm": 31.0, "grad_norm_var": 5.68125, "learning_rate": 0.0001, "loss": 7.3399, "loss/crossentropy": 1.9978457435965538, "loss/hidden": 3.365625, "loss/jsd": 0.0, "loss/logits": 0.17209083335474135, "step": 12800 }, { "epoch": 0.32025, "grad_norm": 28.75, "grad_norm_var": 20.754166666666666, "learning_rate": 0.0001, "loss": 7.3016, "loss/crossentropy": 1.984939170628786, "loss/hidden": 3.50625, "loss/jsd": 0.0, "loss/logits": 0.19444225933402776, "step": 12810 }, { "epoch": 0.3205, "grad_norm": 28.875, "grad_norm_var": 3.3942057291666665, "learning_rate": 0.0001, "loss": 7.3066, "loss/crossentropy": 1.8981015786528588, "loss/hidden": 3.41171875, "loss/jsd": 0.0, "loss/logits": 0.18696952695026994, "step": 12820 }, { "epoch": 0.32075, "grad_norm": 30.25, "grad_norm_var": 3.9218098958333334, "learning_rate": 0.0001, "loss": 7.3974, "loss/crossentropy": 2.1415200501680376, "loss/hidden": 3.434375, "loss/jsd": 0.0, "loss/logits": 0.20154954344034196, "step": 12830 }, { "epoch": 0.321, "grad_norm": 31.375, "grad_norm_var": 35.8400390625, "learning_rate": 0.0001, "loss": 7.3048, "loss/crossentropy": 2.1483262166380883, "loss/hidden": 3.33125, "loss/jsd": 0.0, "loss/logits": 0.19059547781944275, "step": 12840 }, { "epoch": 0.32125, "grad_norm": 31.0, "grad_norm_var": 2.561393229166667, "learning_rate": 0.0001, "loss": 7.4233, "loss/crossentropy": 2.1605855494737627, "loss/hidden": 3.3015625, "loss/jsd": 0.0, "loss/logits": 0.19197470052167773, "step": 12850 }, { "epoch": 0.3215, "grad_norm": 29.375, "grad_norm_var": 1.98125, "learning_rate": 0.0001, "loss": 7.3826, "loss/crossentropy": 2.1228017687797545, "loss/hidden": 3.380078125, "loss/jsd": 0.0, "loss/logits": 0.21111836601048709, "step": 12860 }, { "epoch": 0.32175, "grad_norm": 32.75, "grad_norm_var": 2.6666666666666665, "learning_rate": 0.0001, "loss": 7.317, "loss/crossentropy": 1.9638956546783448, "loss/hidden": 3.3625, "loss/jsd": 0.0, "loss/logits": 0.18815859649330377, "step": 12870 }, { "epoch": 0.322, "grad_norm": 30.875, "grad_norm_var": 2.5927083333333334, "learning_rate": 0.0001, "loss": 7.3412, "loss/crossentropy": 2.15369998216629, "loss/hidden": 3.32109375, "loss/jsd": 0.0, "loss/logits": 0.19398804232478142, "step": 12880 }, { "epoch": 0.32225, "grad_norm": 28.875, "grad_norm_var": 4.522916666666666, "learning_rate": 0.0001, "loss": 7.3785, "loss/crossentropy": 2.134490595757961, "loss/hidden": 3.367578125, "loss/jsd": 0.0, "loss/logits": 0.19743212331086396, "step": 12890 }, { "epoch": 0.3225, "grad_norm": 28.125, "grad_norm_var": 4.824739583333334, "learning_rate": 0.0001, "loss": 7.2795, "loss/crossentropy": 2.05883831679821, "loss/hidden": 3.38515625, "loss/jsd": 0.0, "loss/logits": 0.1887126075103879, "step": 12900 }, { "epoch": 0.32275, "grad_norm": 31.125, "grad_norm_var": 1.6257994456428096e+18, "learning_rate": 0.0001, "loss": 7.3637, "loss/crossentropy": 1.865815930068493, "loss/hidden": 3.334765625, "loss/jsd": 0.0, "loss/logits": 0.16476531345397233, "step": 12910 }, { "epoch": 0.323, "grad_norm": 27.375, "grad_norm_var": 1.6257994456056202e+18, "learning_rate": 0.0001, "loss": 7.3231, "loss/crossentropy": 2.1335863292217256, "loss/hidden": 3.3234375, "loss/jsd": 0.0, "loss/logits": 0.18054731655865908, "step": 12920 }, { "epoch": 0.32325, "grad_norm": 30.5, "grad_norm_var": 1.6822265625, "learning_rate": 0.0001, "loss": 7.2992, "loss/crossentropy": 2.029070366919041, "loss/hidden": 3.292578125, "loss/jsd": 0.0, "loss/logits": 0.1656917490065098, "step": 12930 }, { "epoch": 0.3235, "grad_norm": 29.875, "grad_norm_var": 1.9139973958333334, "learning_rate": 0.0001, "loss": 7.3529, "loss/crossentropy": 2.0367226876318454, "loss/hidden": 3.446484375, "loss/jsd": 0.0, "loss/logits": 0.18601053059101105, "step": 12940 }, { "epoch": 0.32375, "grad_norm": 27.875, "grad_norm_var": 2.1228515625, "learning_rate": 0.0001, "loss": 7.146, "loss/crossentropy": 2.008280509710312, "loss/hidden": 3.339453125, "loss/jsd": 0.0, "loss/logits": 0.17591428142040968, "step": 12950 }, { "epoch": 0.324, "grad_norm": 31.5, "grad_norm_var": 1.8893229166666667, "learning_rate": 0.0001, "loss": 7.3616, "loss/crossentropy": 2.1186923176050185, "loss/hidden": 3.476171875, "loss/jsd": 0.0, "loss/logits": 0.20130661278963088, "step": 12960 }, { "epoch": 0.32425, "grad_norm": 28.0, "grad_norm_var": 1.4749348958333333, "learning_rate": 0.0001, "loss": 7.3933, "loss/crossentropy": 2.1367026805877685, "loss/hidden": 3.41640625, "loss/jsd": 0.0, "loss/logits": 0.19593327604234217, "step": 12970 }, { "epoch": 0.3245, "grad_norm": 33.5, "grad_norm_var": 2.5009765625, "learning_rate": 0.0001, "loss": 7.36, "loss/crossentropy": 1.9709487736225129, "loss/hidden": 3.388671875, "loss/jsd": 0.0, "loss/logits": 0.18522804593667389, "step": 12980 }, { "epoch": 0.32475, "grad_norm": 32.25, "grad_norm_var": 3.037955729166667, "learning_rate": 0.0001, "loss": 7.3995, "loss/crossentropy": 2.182401825487614, "loss/hidden": 3.288671875, "loss/jsd": 0.0, "loss/logits": 0.1944254267960787, "step": 12990 }, { "epoch": 0.325, "grad_norm": 31.875, "grad_norm_var": 1.8259765625, "learning_rate": 0.0001, "loss": 7.297, "loss/crossentropy": 2.144014260172844, "loss/hidden": 3.335546875, "loss/jsd": 0.0, "loss/logits": 0.18785431496798993, "step": 13000 }, { "epoch": 0.32525, "grad_norm": 29.125, "grad_norm_var": 1.5858723958333334, "learning_rate": 0.0001, "loss": 7.4172, "loss/crossentropy": 2.185704696178436, "loss/hidden": 3.476953125, "loss/jsd": 0.0, "loss/logits": 0.21230035796761512, "step": 13010 }, { "epoch": 0.3255, "grad_norm": 33.75, "grad_norm_var": 2.0989583333333335, "learning_rate": 0.0001, "loss": 7.3542, "loss/crossentropy": 2.169140038639307, "loss/hidden": 3.367578125, "loss/jsd": 0.0, "loss/logits": 0.20137128187343478, "step": 13020 }, { "epoch": 0.32575, "grad_norm": 29.0, "grad_norm_var": 1.7613932291666667, "learning_rate": 0.0001, "loss": 7.3018, "loss/crossentropy": 2.0429045438766478, "loss/hidden": 3.306640625, "loss/jsd": 0.0, "loss/logits": 0.1801679054275155, "step": 13030 }, { "epoch": 0.326, "grad_norm": 28.25, "grad_norm_var": 20.3603515625, "learning_rate": 0.0001, "loss": 7.3076, "loss/crossentropy": 2.090936814248562, "loss/hidden": 3.363671875, "loss/jsd": 0.0, "loss/logits": 0.18894913028925658, "step": 13040 }, { "epoch": 0.32625, "grad_norm": 29.5, "grad_norm_var": 21.5759765625, "learning_rate": 0.0001, "loss": 7.3032, "loss/crossentropy": 2.0933708012104035, "loss/hidden": 3.306640625, "loss/jsd": 0.0, "loss/logits": 0.18349476121366023, "step": 13050 }, { "epoch": 0.3265, "grad_norm": 31.125, "grad_norm_var": 23.737434895833335, "learning_rate": 0.0001, "loss": 7.4007, "loss/crossentropy": 1.9636264845728875, "loss/hidden": 3.342578125, "loss/jsd": 0.0, "loss/logits": 0.17653203681111335, "step": 13060 }, { "epoch": 0.32675, "grad_norm": 30.875, "grad_norm_var": 26.170833333333334, "learning_rate": 0.0001, "loss": 7.2685, "loss/crossentropy": 2.0459864370524885, "loss/hidden": 3.392578125, "loss/jsd": 0.0, "loss/logits": 0.18335657650604845, "step": 13070 }, { "epoch": 0.327, "grad_norm": 32.25, "grad_norm_var": 13.033072916666667, "learning_rate": 0.0001, "loss": 7.3321, "loss/crossentropy": 2.2077785804867744, "loss/hidden": 3.376171875, "loss/jsd": 0.0, "loss/logits": 0.1968739289790392, "step": 13080 }, { "epoch": 0.32725, "grad_norm": 29.625, "grad_norm_var": 8.8634765625, "learning_rate": 0.0001, "loss": 7.2613, "loss/crossentropy": 2.039609357714653, "loss/hidden": 3.45078125, "loss/jsd": 0.0, "loss/logits": 0.19310947302728892, "step": 13090 }, { "epoch": 0.3275, "grad_norm": 29.875, "grad_norm_var": 8.334309895833334, "learning_rate": 0.0001, "loss": 7.3587, "loss/crossentropy": 2.0822102136909963, "loss/hidden": 3.26640625, "loss/jsd": 0.0, "loss/logits": 0.1863661216571927, "step": 13100 }, { "epoch": 0.32775, "grad_norm": 34.25, "grad_norm_var": 8.694205729166667, "learning_rate": 0.0001, "loss": 7.3602, "loss/crossentropy": 2.167416235804558, "loss/hidden": 3.36484375, "loss/jsd": 0.0, "loss/logits": 0.19521966725587844, "step": 13110 }, { "epoch": 0.328, "grad_norm": 29.125, "grad_norm_var": 7.191080729166667, "learning_rate": 0.0001, "loss": 7.3767, "loss/crossentropy": 2.07031906619668, "loss/hidden": 3.4015625, "loss/jsd": 0.0, "loss/logits": 0.22052818778902292, "step": 13120 }, { "epoch": 0.32825, "grad_norm": 35.5, "grad_norm_var": 5.821809895833334, "learning_rate": 0.0001, "loss": 7.5034, "loss/crossentropy": 2.1318026900291445, "loss/hidden": 3.4046875, "loss/jsd": 0.0, "loss/logits": 0.19695397429168224, "step": 13130 }, { "epoch": 0.3285, "grad_norm": 29.5, "grad_norm_var": 4.738541666666666, "learning_rate": 0.0001, "loss": 7.2907, "loss/crossentropy": 1.893085064738989, "loss/hidden": 3.421875, "loss/jsd": 0.0, "loss/logits": 0.17454516123980285, "step": 13140 }, { "epoch": 0.32875, "grad_norm": 33.25, "grad_norm_var": 4.96640625, "learning_rate": 0.0001, "loss": 7.3911, "loss/crossentropy": 2.0709325544536115, "loss/hidden": 3.405078125, "loss/jsd": 0.0, "loss/logits": 0.19108830243349076, "step": 13150 }, { "epoch": 0.329, "grad_norm": 30.375, "grad_norm_var": 6.593489583333334, "learning_rate": 0.0001, "loss": 7.278, "loss/crossentropy": 2.0809618443250657, "loss/hidden": 3.401953125, "loss/jsd": 0.0, "loss/logits": 0.1867564545944333, "step": 13160 }, { "epoch": 0.32925, "grad_norm": 28.875, "grad_norm_var": 5.355143229166667, "learning_rate": 0.0001, "loss": 7.1865, "loss/crossentropy": 1.86175979077816, "loss/hidden": 3.41640625, "loss/jsd": 0.0, "loss/logits": 0.18658734802156687, "step": 13170 }, { "epoch": 0.3295, "grad_norm": 32.5, "grad_norm_var": 7.297916666666667, "learning_rate": 0.0001, "loss": 7.2993, "loss/crossentropy": 2.0688765406608582, "loss/hidden": 3.320703125, "loss/jsd": 0.0, "loss/logits": 0.1887798959389329, "step": 13180 }, { "epoch": 0.32975, "grad_norm": 32.0, "grad_norm_var": 3.1462890625, "learning_rate": 0.0001, "loss": 7.396, "loss/crossentropy": 2.1349074259400367, "loss/hidden": 3.3734375, "loss/jsd": 0.0, "loss/logits": 0.1891916124150157, "step": 13190 }, { "epoch": 0.33, "grad_norm": 29.375, "grad_norm_var": 3.2080729166666666, "learning_rate": 0.0001, "loss": 7.2194, "loss/crossentropy": 2.0701663225889204, "loss/hidden": 3.290625, "loss/jsd": 0.0, "loss/logits": 0.19238610491156577, "step": 13200 }, { "epoch": 0.33025, "grad_norm": 29.875, "grad_norm_var": 1.3447265625, "learning_rate": 0.0001, "loss": 7.3476, "loss/crossentropy": 2.126928760111332, "loss/hidden": 3.351953125, "loss/jsd": 0.0, "loss/logits": 0.18552705701440572, "step": 13210 }, { "epoch": 0.3305, "grad_norm": 29.875, "grad_norm_var": 2.4916666666666667, "learning_rate": 0.0001, "loss": 7.3275, "loss/crossentropy": 2.0960667990148067, "loss/hidden": 3.3546875, "loss/jsd": 0.0, "loss/logits": 0.18840519580990076, "step": 13220 }, { "epoch": 0.33075, "grad_norm": 29.0, "grad_norm_var": 31.097916666666666, "learning_rate": 0.0001, "loss": 7.3449, "loss/crossentropy": 1.9724566139280797, "loss/hidden": 3.401171875, "loss/jsd": 0.0, "loss/logits": 0.17257819082587958, "step": 13230 }, { "epoch": 0.331, "grad_norm": 30.25, "grad_norm_var": 29.516080729166667, "learning_rate": 0.0001, "loss": 7.5214, "loss/crossentropy": 2.144184100627899, "loss/hidden": 3.4296875, "loss/jsd": 0.0, "loss/logits": 0.19250041600316764, "step": 13240 }, { "epoch": 0.33125, "grad_norm": 28.25, "grad_norm_var": 6.55, "learning_rate": 0.0001, "loss": 7.3245, "loss/crossentropy": 1.9724821582436562, "loss/hidden": 3.423046875, "loss/jsd": 0.0, "loss/logits": 0.18454758413136005, "step": 13250 }, { "epoch": 0.3315, "grad_norm": 35.75, "grad_norm_var": 10.574739583333333, "learning_rate": 0.0001, "loss": 7.2067, "loss/crossentropy": 2.0341859996318816, "loss/hidden": 3.466015625, "loss/jsd": 0.0, "loss/logits": 0.19355686828494073, "step": 13260 }, { "epoch": 0.33175, "grad_norm": 31.875, "grad_norm_var": 6.093489583333334, "learning_rate": 0.0001, "loss": 7.3386, "loss/crossentropy": 2.1593449860811234, "loss/hidden": 3.282421875, "loss/jsd": 0.0, "loss/logits": 0.18228702070191502, "step": 13270 }, { "epoch": 0.332, "grad_norm": 32.25, "grad_norm_var": 4.518489583333333, "learning_rate": 0.0001, "loss": 7.2584, "loss/crossentropy": 2.021310421824455, "loss/hidden": 3.37265625, "loss/jsd": 0.0, "loss/logits": 0.193563433829695, "step": 13280 }, { "epoch": 0.33225, "grad_norm": 33.25, "grad_norm_var": 3.008072916666667, "learning_rate": 0.0001, "loss": 7.3654, "loss/crossentropy": 2.010246267169714, "loss/hidden": 3.398046875, "loss/jsd": 0.0, "loss/logits": 0.18375244587659836, "step": 13290 }, { "epoch": 0.3325, "grad_norm": 33.5, "grad_norm_var": 1.8309895833333334, "learning_rate": 0.0001, "loss": 7.4013, "loss/crossentropy": 2.1324703454971314, "loss/hidden": 3.42109375, "loss/jsd": 0.0, "loss/logits": 0.19651575423777104, "step": 13300 }, { "epoch": 0.33275, "grad_norm": 31.625, "grad_norm_var": 9.018489583333333, "learning_rate": 0.0001, "loss": 7.4123, "loss/crossentropy": 2.2024870067834854, "loss/hidden": 3.36484375, "loss/jsd": 0.0, "loss/logits": 0.19117040373384953, "step": 13310 }, { "epoch": 0.333, "grad_norm": 29.5, "grad_norm_var": 54.362239583333334, "learning_rate": 0.0001, "loss": 7.3561, "loss/crossentropy": 1.9291939452290534, "loss/hidden": 3.33828125, "loss/jsd": 0.0, "loss/logits": 0.18055410776287317, "step": 13320 }, { "epoch": 0.33325, "grad_norm": 30.5, "grad_norm_var": 53.271875, "learning_rate": 0.0001, "loss": 7.3417, "loss/crossentropy": 1.9812588825821877, "loss/hidden": 3.246875, "loss/jsd": 0.0, "loss/logits": 0.17277830513194203, "step": 13330 }, { "epoch": 0.3335, "grad_norm": 30.625, "grad_norm_var": 2.0332682291666666, "learning_rate": 0.0001, "loss": 7.4792, "loss/crossentropy": 2.1468162171542646, "loss/hidden": 3.29453125, "loss/jsd": 0.0, "loss/logits": 0.1815652133896947, "step": 13340 }, { "epoch": 0.33375, "grad_norm": 30.5, "grad_norm_var": 1.8942057291666667, "learning_rate": 0.0001, "loss": 7.3437, "loss/crossentropy": 1.9899487346410751, "loss/hidden": 3.336328125, "loss/jsd": 0.0, "loss/logits": 0.1736677044071257, "step": 13350 }, { "epoch": 0.334, "grad_norm": 32.75, "grad_norm_var": 3.374955311060432e+18, "learning_rate": 0.0001, "loss": 7.4592, "loss/crossentropy": 2.0041578873991965, "loss/hidden": 3.38984375, "loss/jsd": 0.0, "loss/logits": 0.19686540886759757, "step": 13360 }, { "epoch": 0.33425, "grad_norm": 29.375, "grad_norm_var": 3.3749553110757407e+18, "learning_rate": 0.0001, "loss": 7.3521, "loss/crossentropy": 2.050678627192974, "loss/hidden": 3.35859375, "loss/jsd": 0.0, "loss/logits": 0.1835683614946902, "step": 13370 }, { "epoch": 0.3345, "grad_norm": 32.5, "grad_norm_var": 1.4561848958333334, "learning_rate": 0.0001, "loss": 7.3463, "loss/crossentropy": 2.255459001660347, "loss/hidden": 3.3484375, "loss/jsd": 0.0, "loss/logits": 0.2026721488684416, "step": 13380 }, { "epoch": 0.33475, "grad_norm": 55.0, "grad_norm_var": 37.805989583333336, "learning_rate": 0.0001, "loss": 7.432, "loss/crossentropy": 2.092339722812176, "loss/hidden": 3.445703125, "loss/jsd": 0.0, "loss/logits": 0.20365451760590075, "step": 13390 }, { "epoch": 0.335, "grad_norm": 29.5, "grad_norm_var": 39.1962890625, "learning_rate": 0.0001, "loss": 7.3082, "loss/crossentropy": 2.060484157502651, "loss/hidden": 3.49921875, "loss/jsd": 0.0, "loss/logits": 0.19208470694720745, "step": 13400 }, { "epoch": 0.33525, "grad_norm": 30.875, "grad_norm_var": 4.119205729166667, "learning_rate": 0.0001, "loss": 7.3159, "loss/crossentropy": 2.0885482341051103, "loss/hidden": 3.3484375, "loss/jsd": 0.0, "loss/logits": 0.18701701434329152, "step": 13410 }, { "epoch": 0.3355, "grad_norm": 34.75, "grad_norm_var": 3.8354166666666667, "learning_rate": 0.0001, "loss": 7.3792, "loss/crossentropy": 2.064309825748205, "loss/hidden": 3.40546875, "loss/jsd": 0.0, "loss/logits": 0.20586481597274542, "step": 13420 }, { "epoch": 0.33575, "grad_norm": 29.75, "grad_norm_var": 2.535416666666667, "learning_rate": 0.0001, "loss": 7.4193, "loss/crossentropy": 1.8737250491976738, "loss/hidden": 3.427734375, "loss/jsd": 0.0, "loss/logits": 0.19758351668715476, "step": 13430 }, { "epoch": 0.336, "grad_norm": 30.25, "grad_norm_var": 3.8686848958333333, "learning_rate": 0.0001, "loss": 7.4324, "loss/crossentropy": 1.9396042831242084, "loss/hidden": 3.39609375, "loss/jsd": 0.0, "loss/logits": 0.18089414723217487, "step": 13440 }, { "epoch": 0.33625, "grad_norm": 28.875, "grad_norm_var": 4.540625, "learning_rate": 0.0001, "loss": 7.3798, "loss/crossentropy": 2.004528859257698, "loss/hidden": 3.442578125, "loss/jsd": 0.0, "loss/logits": 0.22120596412569285, "step": 13450 }, { "epoch": 0.3365, "grad_norm": 29.125, "grad_norm_var": 1.69375, "learning_rate": 0.0001, "loss": 7.3708, "loss/crossentropy": 2.170805335044861, "loss/hidden": 3.378515625, "loss/jsd": 0.0, "loss/logits": 0.18870076667517424, "step": 13460 }, { "epoch": 0.33675, "grad_norm": 29.375, "grad_norm_var": 2.9284656301175997e+18, "learning_rate": 0.0001, "loss": 7.3594, "loss/crossentropy": 2.0726011991500854, "loss/hidden": 3.310546875, "loss/jsd": 0.0, "loss/logits": 0.18316982481628657, "step": 13470 }, { "epoch": 0.337, "grad_norm": 32.25, "grad_norm_var": 3.999739583333333, "learning_rate": 0.0001, "loss": 7.3072, "loss/crossentropy": 2.0701726540923118, "loss/hidden": 3.37734375, "loss/jsd": 0.0, "loss/logits": 0.18232779456302523, "step": 13480 }, { "epoch": 0.33725, "grad_norm": 31.625, "grad_norm_var": 1.01640625, "learning_rate": 0.0001, "loss": 7.3553, "loss/crossentropy": 2.066875821352005, "loss/hidden": 3.34765625, "loss/jsd": 0.0, "loss/logits": 0.18299774192273616, "step": 13490 }, { "epoch": 0.3375, "grad_norm": 32.0, "grad_norm_var": 1.4489583333333333, "learning_rate": 0.0001, "loss": 7.2708, "loss/crossentropy": 2.110422171652317, "loss/hidden": 3.353125, "loss/jsd": 0.0, "loss/logits": 0.19538786429911853, "step": 13500 }, { "epoch": 0.33775, "grad_norm": 29.875, "grad_norm_var": 1.06015625, "learning_rate": 0.0001, "loss": 7.3529, "loss/crossentropy": 2.1061682522296907, "loss/hidden": 3.4078125, "loss/jsd": 0.0, "loss/logits": 0.19031856823712587, "step": 13510 }, { "epoch": 0.338, "grad_norm": 32.5, "grad_norm_var": 1.40390625, "learning_rate": 0.0001, "loss": 7.2473, "loss/crossentropy": 2.0029176853597166, "loss/hidden": 3.284375, "loss/jsd": 0.0, "loss/logits": 0.182035060133785, "step": 13520 }, { "epoch": 0.33825, "grad_norm": 29.375, "grad_norm_var": 9.417708333333334, "learning_rate": 0.0001, "loss": 7.3084, "loss/crossentropy": 2.1238187912851574, "loss/hidden": 3.380078125, "loss/jsd": 0.0, "loss/logits": 0.188486148416996, "step": 13530 }, { "epoch": 0.3385, "grad_norm": 30.25, "grad_norm_var": 1.3983723958333334, "learning_rate": 0.0001, "loss": 7.2256, "loss/crossentropy": 1.9766217768192291, "loss/hidden": 3.326953125, "loss/jsd": 0.0, "loss/logits": 0.17294846558943391, "step": 13540 }, { "epoch": 0.33875, "grad_norm": 29.375, "grad_norm_var": 3.0874348958333333, "learning_rate": 0.0001, "loss": 7.327, "loss/crossentropy": 2.1272383123636245, "loss/hidden": 3.345703125, "loss/jsd": 0.0, "loss/logits": 0.18510236088186502, "step": 13550 }, { "epoch": 0.339, "grad_norm": 31.0, "grad_norm_var": 3.10390625, "learning_rate": 0.0001, "loss": 7.2885, "loss/crossentropy": 2.0515687823295594, "loss/hidden": 3.368359375, "loss/jsd": 0.0, "loss/logits": 0.18967761769890784, "step": 13560 }, { "epoch": 0.33925, "grad_norm": 29.625, "grad_norm_var": 11.933072916666667, "learning_rate": 0.0001, "loss": 7.3573, "loss/crossentropy": 2.0446967758238315, "loss/hidden": 3.425, "loss/jsd": 0.0, "loss/logits": 0.18640230242162942, "step": 13570 }, { "epoch": 0.3395, "grad_norm": 28.875, "grad_norm_var": 1.84765625, "learning_rate": 0.0001, "loss": 7.2965, "loss/crossentropy": 1.9837520524859429, "loss/hidden": 3.3171875, "loss/jsd": 0.0, "loss/logits": 0.1916389312595129, "step": 13580 }, { "epoch": 0.33975, "grad_norm": 30.5, "grad_norm_var": 3.1791666666666667, "learning_rate": 0.0001, "loss": 7.3632, "loss/crossentropy": 2.1806528866291046, "loss/hidden": 3.337109375, "loss/jsd": 0.0, "loss/logits": 0.19690024815499782, "step": 13590 }, { "epoch": 0.34, "grad_norm": 30.75, "grad_norm_var": 1.3385416666666667, "learning_rate": 0.0001, "loss": 7.3761, "loss/crossentropy": 2.215220719575882, "loss/hidden": 3.312109375, "loss/jsd": 0.0, "loss/logits": 0.19034639187157154, "step": 13600 }, { "epoch": 0.34025, "grad_norm": 27.375, "grad_norm_var": 2.7129557291666666, "learning_rate": 0.0001, "loss": 7.3129, "loss/crossentropy": 2.16262392103672, "loss/hidden": 3.503125, "loss/jsd": 0.0, "loss/logits": 0.20174582321196793, "step": 13610 }, { "epoch": 0.3405, "grad_norm": 30.5, "grad_norm_var": 3.2363932291666666, "learning_rate": 0.0001, "loss": 7.3501, "loss/crossentropy": 2.126379433274269, "loss/hidden": 3.3671875, "loss/jsd": 0.0, "loss/logits": 0.18432336021214724, "step": 13620 }, { "epoch": 0.34075, "grad_norm": 30.875, "grad_norm_var": 1.8176432291666667, "learning_rate": 0.0001, "loss": 7.3601, "loss/crossentropy": 2.0324837125837805, "loss/hidden": 3.375, "loss/jsd": 0.0, "loss/logits": 0.18331200983375312, "step": 13630 }, { "epoch": 0.341, "grad_norm": 29.0, "grad_norm_var": 1.7942057291666667, "learning_rate": 0.0001, "loss": 7.3882, "loss/crossentropy": 2.176556921005249, "loss/hidden": 3.401953125, "loss/jsd": 0.0, "loss/logits": 0.19637300558388232, "step": 13640 }, { "epoch": 0.34125, "grad_norm": 29.875, "grad_norm_var": 3.758072916666667, "learning_rate": 0.0001, "loss": 7.1992, "loss/crossentropy": 1.9680285774171353, "loss/hidden": 3.30546875, "loss/jsd": 0.0, "loss/logits": 0.1837764661759138, "step": 13650 }, { "epoch": 0.3415, "grad_norm": 29.125, "grad_norm_var": 2.6936848958333335, "learning_rate": 0.0001, "loss": 7.361, "loss/crossentropy": 2.1511219844222067, "loss/hidden": 3.29140625, "loss/jsd": 0.0, "loss/logits": 0.1746565790846944, "step": 13660 }, { "epoch": 0.34175, "grad_norm": 28.375, "grad_norm_var": 2.312239583333333, "learning_rate": 0.0001, "loss": 7.3856, "loss/crossentropy": 2.187084162980318, "loss/hidden": 3.37734375, "loss/jsd": 0.0, "loss/logits": 0.18925763312727212, "step": 13670 }, { "epoch": 0.342, "grad_norm": 29.75, "grad_norm_var": 2.4139973958333334, "learning_rate": 0.0001, "loss": 7.196, "loss/crossentropy": 2.0472760550677775, "loss/hidden": 3.32109375, "loss/jsd": 0.0, "loss/logits": 0.17813790533691645, "step": 13680 }, { "epoch": 0.34225, "grad_norm": 32.25, "grad_norm_var": 1.6458333333333333, "learning_rate": 0.0001, "loss": 7.4184, "loss/crossentropy": 2.0482982218265535, "loss/hidden": 3.483203125, "loss/jsd": 0.0, "loss/logits": 0.1855379816144705, "step": 13690 }, { "epoch": 0.3425, "grad_norm": 27.875, "grad_norm_var": 98.41432291666666, "learning_rate": 0.0001, "loss": 7.2863, "loss/crossentropy": 2.0204505778849127, "loss/hidden": 3.34609375, "loss/jsd": 0.0, "loss/logits": 0.17318440061062573, "step": 13700 }, { "epoch": 0.34275, "grad_norm": 28.375, "grad_norm_var": 33.1900390625, "learning_rate": 0.0001, "loss": 7.3409, "loss/crossentropy": 2.0783301174640654, "loss/hidden": 3.38125, "loss/jsd": 0.0, "loss/logits": 0.19091757852584124, "step": 13710 }, { "epoch": 0.343, "grad_norm": 32.0, "grad_norm_var": 3.7150390625, "learning_rate": 0.0001, "loss": 7.3412, "loss/crossentropy": 2.0553587220609186, "loss/hidden": 3.39140625, "loss/jsd": 0.0, "loss/logits": 0.18813807256519793, "step": 13720 }, { "epoch": 0.34325, "grad_norm": 34.25, "grad_norm_var": 1586.7400390625, "learning_rate": 0.0001, "loss": 7.4918, "loss/crossentropy": 2.14101425036788, "loss/hidden": 3.36796875, "loss/jsd": 0.0, "loss/logits": 0.1929340995848179, "step": 13730 }, { "epoch": 0.3435, "grad_norm": 32.5, "grad_norm_var": 4.633072916666666, "learning_rate": 0.0001, "loss": 7.3162, "loss/crossentropy": 2.0531166955828666, "loss/hidden": 3.411328125, "loss/jsd": 0.0, "loss/logits": 0.18961485847830772, "step": 13740 }, { "epoch": 0.34375, "grad_norm": 51.5, "grad_norm_var": 29.780989583333334, "learning_rate": 0.0001, "loss": 7.3981, "loss/crossentropy": 2.146902695298195, "loss/hidden": 3.4203125, "loss/jsd": 0.0, "loss/logits": 0.18639619778841734, "step": 13750 }, { "epoch": 0.344, "grad_norm": 31.875, "grad_norm_var": 27.141080729166667, "learning_rate": 0.0001, "loss": 7.3596, "loss/crossentropy": 2.2127513885498047, "loss/hidden": 3.407421875, "loss/jsd": 0.0, "loss/logits": 0.19791291914880277, "step": 13760 }, { "epoch": 0.34425, "grad_norm": 32.25, "grad_norm_var": 1.9809895833333333, "learning_rate": 0.0001, "loss": 7.3245, "loss/crossentropy": 2.113487794995308, "loss/hidden": 3.396875, "loss/jsd": 0.0, "loss/logits": 0.18752570655196904, "step": 13770 }, { "epoch": 0.3445, "grad_norm": 28.875, "grad_norm_var": 2.7666666666666666, "learning_rate": 0.0001, "loss": 7.3737, "loss/crossentropy": 2.192716282606125, "loss/hidden": 3.4296875, "loss/jsd": 0.0, "loss/logits": 0.1977760722860694, "step": 13780 }, { "epoch": 0.34475, "grad_norm": 30.375, "grad_norm_var": 1.4999348958333334, "learning_rate": 0.0001, "loss": 7.2308, "loss/crossentropy": 2.1602986216545106, "loss/hidden": 3.2796875, "loss/jsd": 0.0, "loss/logits": 0.1859057329595089, "step": 13790 }, { "epoch": 0.345, "grad_norm": 45.25, "grad_norm_var": 15.587434895833333, "learning_rate": 0.0001, "loss": 7.3689, "loss/crossentropy": 2.042529730498791, "loss/hidden": 3.34765625, "loss/jsd": 0.0, "loss/logits": 0.2055663662031293, "step": 13800 }, { "epoch": 0.34525, "grad_norm": 31.375, "grad_norm_var": 16.111458333333335, "learning_rate": 0.0001, "loss": 7.355, "loss/crossentropy": 2.004579763114452, "loss/hidden": 3.46171875, "loss/jsd": 0.0, "loss/logits": 0.18781258668750525, "step": 13810 }, { "epoch": 0.3455, "grad_norm": 27.75, "grad_norm_var": 2.9369140625, "learning_rate": 0.0001, "loss": 7.2946, "loss/crossentropy": 1.9647000446915626, "loss/hidden": 3.404296875, "loss/jsd": 0.0, "loss/logits": 0.18860411625355483, "step": 13820 }, { "epoch": 0.34575, "grad_norm": 28.625, "grad_norm_var": 2.4830729166666665, "learning_rate": 0.0001, "loss": 7.3643, "loss/crossentropy": 2.1840324103832245, "loss/hidden": 3.321875, "loss/jsd": 0.0, "loss/logits": 0.18433275502175092, "step": 13830 }, { "epoch": 0.346, "grad_norm": 31.0, "grad_norm_var": 2.061393229166667, "learning_rate": 0.0001, "loss": 7.39, "loss/crossentropy": 2.1660002395510674, "loss/hidden": 3.3671875, "loss/jsd": 0.0, "loss/logits": 0.18589738458395005, "step": 13840 }, { "epoch": 0.34625, "grad_norm": 30.625, "grad_norm_var": 3.237434895833333, "learning_rate": 0.0001, "loss": 7.2772, "loss/crossentropy": 2.0304790273308755, "loss/hidden": 3.383984375, "loss/jsd": 0.0, "loss/logits": 0.19276629090309144, "step": 13850 }, { "epoch": 0.3465, "grad_norm": 27.375, "grad_norm_var": 4.35390625, "learning_rate": 0.0001, "loss": 7.2433, "loss/crossentropy": 2.0913878247141837, "loss/hidden": 3.348828125, "loss/jsd": 0.0, "loss/logits": 0.17961858343333006, "step": 13860 }, { "epoch": 0.34675, "grad_norm": 31.625, "grad_norm_var": 1.9833333333333334, "learning_rate": 0.0001, "loss": 7.298, "loss/crossentropy": 1.9085475612431764, "loss/hidden": 3.41875, "loss/jsd": 0.0, "loss/logits": 0.1773257221095264, "step": 13870 }, { "epoch": 0.347, "grad_norm": 31.75, "grad_norm_var": 1.2061848958333334, "learning_rate": 0.0001, "loss": 7.3026, "loss/crossentropy": 2.134579537808895, "loss/hidden": 3.29375, "loss/jsd": 0.0, "loss/logits": 0.18533094711601733, "step": 13880 }, { "epoch": 0.34725, "grad_norm": 29.75, "grad_norm_var": 1.74140625, "learning_rate": 0.0001, "loss": 7.2397, "loss/crossentropy": 2.0479501873254775, "loss/hidden": 3.36015625, "loss/jsd": 0.0, "loss/logits": 0.1840794005431235, "step": 13890 }, { "epoch": 0.3475, "grad_norm": 30.625, "grad_norm_var": 2.6400390625, "learning_rate": 0.0001, "loss": 7.2447, "loss/crossentropy": 2.0175841793417932, "loss/hidden": 3.29296875, "loss/jsd": 0.0, "loss/logits": 0.17613419592380525, "step": 13900 }, { "epoch": 0.34775, "grad_norm": 32.5, "grad_norm_var": 5.333072916666667, "learning_rate": 0.0001, "loss": 7.3573, "loss/crossentropy": 2.248972457647324, "loss/hidden": 3.35234375, "loss/jsd": 0.0, "loss/logits": 0.19207954667508603, "step": 13910 }, { "epoch": 0.348, "grad_norm": 31.0, "grad_norm_var": 4.843489583333334, "learning_rate": 0.0001, "loss": 7.3649, "loss/crossentropy": 2.215424671769142, "loss/hidden": 3.3328125, "loss/jsd": 0.0, "loss/logits": 0.19513901360332966, "step": 13920 }, { "epoch": 0.34825, "grad_norm": 30.25, "grad_norm_var": 2.004622395833333, "learning_rate": 0.0001, "loss": 7.4324, "loss/crossentropy": 2.157894307374954, "loss/hidden": 3.457421875, "loss/jsd": 0.0, "loss/logits": 0.20247049070894718, "step": 13930 }, { "epoch": 0.3485, "grad_norm": 28.5, "grad_norm_var": 2.4150390625, "learning_rate": 0.0001, "loss": 7.3422, "loss/crossentropy": 2.14641355201602, "loss/hidden": 3.37890625, "loss/jsd": 0.0, "loss/logits": 0.1898975013755262, "step": 13940 }, { "epoch": 0.34875, "grad_norm": 28.5, "grad_norm_var": 6.0103515625, "learning_rate": 0.0001, "loss": 7.3309, "loss/crossentropy": 2.0432268232107162, "loss/hidden": 3.461328125, "loss/jsd": 0.0, "loss/logits": 0.19791582636535168, "step": 13950 }, { "epoch": 0.349, "grad_norm": 28.875, "grad_norm_var": 4.4744140625, "learning_rate": 0.0001, "loss": 7.3187, "loss/crossentropy": 2.1648118555545808, "loss/hidden": 3.301171875, "loss/jsd": 0.0, "loss/logits": 0.1794663654640317, "step": 13960 }, { "epoch": 0.34925, "grad_norm": 29.5, "grad_norm_var": 3.1332682291666667, "learning_rate": 0.0001, "loss": 7.3122, "loss/crossentropy": 2.0566162675619126, "loss/hidden": 3.373046875, "loss/jsd": 0.0, "loss/logits": 0.18033871669322252, "step": 13970 }, { "epoch": 0.3495, "grad_norm": 27.875, "grad_norm_var": 1.3686848958333333, "learning_rate": 0.0001, "loss": 7.2538, "loss/crossentropy": 2.0309479638934134, "loss/hidden": 3.316015625, "loss/jsd": 0.0, "loss/logits": 0.1834420131519437, "step": 13980 }, { "epoch": 0.34975, "grad_norm": 30.0, "grad_norm_var": 2.3510416666666667, "learning_rate": 0.0001, "loss": 7.3068, "loss/crossentropy": 2.0843526370823384, "loss/hidden": 3.35859375, "loss/jsd": 0.0, "loss/logits": 0.18843147568404675, "step": 13990 }, { "epoch": 0.35, "grad_norm": 34.25, "grad_norm_var": 10.67265625, "learning_rate": 0.0001, "loss": 7.3839, "loss/crossentropy": 2.0708370715379716, "loss/hidden": 3.389453125, "loss/jsd": 0.0, "loss/logits": 0.19229107201099396, "step": 14000 }, { "epoch": 0.35025, "grad_norm": 28.5, "grad_norm_var": 11.178059895833334, "learning_rate": 0.0001, "loss": 7.3404, "loss/crossentropy": 2.016050732135773, "loss/hidden": 3.49921875, "loss/jsd": 0.0, "loss/logits": 0.1993856718763709, "step": 14010 }, { "epoch": 0.3505, "grad_norm": 31.375, "grad_norm_var": 1.55625, "learning_rate": 0.0001, "loss": 7.4397, "loss/crossentropy": 2.0941019743680953, "loss/hidden": 3.445703125, "loss/jsd": 0.0, "loss/logits": 0.1941377494484186, "step": 14020 }, { "epoch": 0.35075, "grad_norm": 28.125, "grad_norm_var": 1.7934895833333333, "learning_rate": 0.0001, "loss": 7.2787, "loss/crossentropy": 2.175595435500145, "loss/hidden": 3.36484375, "loss/jsd": 0.0, "loss/logits": 0.1906340267509222, "step": 14030 }, { "epoch": 0.351, "grad_norm": 29.625, "grad_norm_var": 3.01015625, "learning_rate": 0.0001, "loss": 7.3322, "loss/crossentropy": 1.945583702623844, "loss/hidden": 3.308203125, "loss/jsd": 0.0, "loss/logits": 0.17433239622041583, "step": 14040 }, { "epoch": 0.35125, "grad_norm": 32.0, "grad_norm_var": 11.308072916666667, "learning_rate": 0.0001, "loss": 7.4361, "loss/crossentropy": 2.078453540802002, "loss/hidden": 3.271484375, "loss/jsd": 0.0, "loss/logits": 0.1803632376715541, "step": 14050 }, { "epoch": 0.3515, "grad_norm": 31.125, "grad_norm_var": 11.920833333333333, "learning_rate": 0.0001, "loss": 7.3917, "loss/crossentropy": 2.2025377944111826, "loss/hidden": 3.38515625, "loss/jsd": 0.0, "loss/logits": 0.18862273804843427, "step": 14060 }, { "epoch": 0.35175, "grad_norm": 26.875, "grad_norm_var": 14.82890625, "learning_rate": 0.0001, "loss": 7.294, "loss/crossentropy": 2.0608675971627237, "loss/hidden": 3.229296875, "loss/jsd": 0.0, "loss/logits": 0.17895151115953922, "step": 14070 }, { "epoch": 0.352, "grad_norm": 31.5, "grad_norm_var": 16.512239583333333, "learning_rate": 0.0001, "loss": 7.2397, "loss/crossentropy": 1.951252208650112, "loss/hidden": 3.347265625, "loss/jsd": 0.0, "loss/logits": 0.17488121166825293, "step": 14080 }, { "epoch": 0.35225, "grad_norm": 29.25, "grad_norm_var": 1.6044777159285975e+18, "learning_rate": 0.0001, "loss": 7.3104, "loss/crossentropy": 2.1797886729240417, "loss/hidden": 3.346484375, "loss/jsd": 0.0, "loss/logits": 0.19085733741521835, "step": 14090 }, { "epoch": 0.3525, "grad_norm": 30.625, "grad_norm_var": 1.6044777150524774e+18, "learning_rate": 0.0001, "loss": 7.269, "loss/crossentropy": 2.133794055879116, "loss/hidden": 3.359375, "loss/jsd": 0.0, "loss/logits": 0.18788108974695206, "step": 14100 }, { "epoch": 0.35275, "grad_norm": 31.125, "grad_norm_var": 57.800455729166664, "learning_rate": 0.0001, "loss": 7.2859, "loss/crossentropy": 2.0392952769994737, "loss/hidden": 3.317578125, "loss/jsd": 0.0, "loss/logits": 0.1854009686037898, "step": 14110 }, { "epoch": 0.353, "grad_norm": 29.0, "grad_norm_var": 2.729622395833333, "learning_rate": 0.0001, "loss": 7.3152, "loss/crossentropy": 2.026089659333229, "loss/hidden": 3.36875, "loss/jsd": 0.0, "loss/logits": 0.18226654808968307, "step": 14120 }, { "epoch": 0.35325, "grad_norm": 30.375, "grad_norm_var": 2.703125, "learning_rate": 0.0001, "loss": 7.4705, "loss/crossentropy": 2.132002358883619, "loss/hidden": 3.39296875, "loss/jsd": 0.0, "loss/logits": 0.2102237056940794, "step": 14130 }, { "epoch": 0.3535, "grad_norm": 29.0, "grad_norm_var": 2.9497395833333333, "learning_rate": 0.0001, "loss": 7.3236, "loss/crossentropy": 2.0131492763757706, "loss/hidden": 3.380078125, "loss/jsd": 0.0, "loss/logits": 0.19223638353869318, "step": 14140 }, { "epoch": 0.35375, "grad_norm": 29.5, "grad_norm_var": 2.7212890625, "learning_rate": 0.0001, "loss": 7.271, "loss/crossentropy": 2.1130865029990673, "loss/hidden": 3.324609375, "loss/jsd": 0.0, "loss/logits": 0.1914577091112733, "step": 14150 }, { "epoch": 0.354, "grad_norm": 31.125, "grad_norm_var": 1.8254557291666667, "learning_rate": 0.0001, "loss": 7.4232, "loss/crossentropy": 2.12569759786129, "loss/hidden": 3.460546875, "loss/jsd": 0.0, "loss/logits": 0.19339151214808226, "step": 14160 }, { "epoch": 0.35425, "grad_norm": 29.875, "grad_norm_var": 1064.6176432291666, "learning_rate": 0.0001, "loss": 7.2083, "loss/crossentropy": 2.0492417976260184, "loss/hidden": 3.37109375, "loss/jsd": 0.0, "loss/logits": 0.18359060864895582, "step": 14170 }, { "epoch": 0.3545, "grad_norm": 31.375, "grad_norm_var": 9.59765625, "learning_rate": 0.0001, "loss": 7.3908, "loss/crossentropy": 2.099221628904343, "loss/hidden": 3.419140625, "loss/jsd": 0.0, "loss/logits": 0.18481487538665534, "step": 14180 }, { "epoch": 0.35475, "grad_norm": 44.25, "grad_norm_var": 12.892708333333333, "learning_rate": 0.0001, "loss": 7.3495, "loss/crossentropy": 2.04138702750206, "loss/hidden": 3.405078125, "loss/jsd": 0.0, "loss/logits": 0.1797080934047699, "step": 14190 }, { "epoch": 0.355, "grad_norm": 29.875, "grad_norm_var": 15.040559895833333, "learning_rate": 0.0001, "loss": 7.3724, "loss/crossentropy": 2.0216434367001055, "loss/hidden": 3.440625, "loss/jsd": 0.0, "loss/logits": 0.19053793977946043, "step": 14200 }, { "epoch": 0.35525, "grad_norm": 28.25, "grad_norm_var": 13.096809895833333, "learning_rate": 0.0001, "loss": 7.299, "loss/crossentropy": 2.160589988529682, "loss/hidden": 3.31953125, "loss/jsd": 0.0, "loss/logits": 0.1827318999916315, "step": 14210 }, { "epoch": 0.3555, "grad_norm": 31.625, "grad_norm_var": 9.878059895833333, "learning_rate": 0.0001, "loss": 7.3381, "loss/crossentropy": 1.7803485259413718, "loss/hidden": 3.37890625, "loss/jsd": 0.0, "loss/logits": 0.16204789485782384, "step": 14220 }, { "epoch": 0.35575, "grad_norm": 28.625, "grad_norm_var": 5.543489583333334, "learning_rate": 0.0001, "loss": 7.2506, "loss/crossentropy": 1.8810015477240085, "loss/hidden": 3.36640625, "loss/jsd": 0.0, "loss/logits": 0.17873666901141405, "step": 14230 }, { "epoch": 0.356, "grad_norm": 30.375, "grad_norm_var": 4.208268229166666, "learning_rate": 0.0001, "loss": 7.4941, "loss/crossentropy": 2.016931130737066, "loss/hidden": 3.300390625, "loss/jsd": 0.0, "loss/logits": 0.17651305962353944, "step": 14240 }, { "epoch": 0.35625, "grad_norm": 29.75, "grad_norm_var": 2.067122395833333, "learning_rate": 0.0001, "loss": 7.3659, "loss/crossentropy": 2.1511716455221177, "loss/hidden": 3.334375, "loss/jsd": 0.0, "loss/logits": 0.18431759886443616, "step": 14250 }, { "epoch": 0.3565, "grad_norm": 31.5, "grad_norm_var": 14.267708333333333, "learning_rate": 0.0001, "loss": 7.4284, "loss/crossentropy": 2.0923829920589925, "loss/hidden": 3.414453125, "loss/jsd": 0.0, "loss/logits": 0.20195957068353892, "step": 14260 }, { "epoch": 0.35675, "grad_norm": 32.75, "grad_norm_var": 2.780989583333333, "learning_rate": 0.0001, "loss": 7.3516, "loss/crossentropy": 2.1890153646469117, "loss/hidden": 3.407421875, "loss/jsd": 0.0, "loss/logits": 0.19206568598747253, "step": 14270 }, { "epoch": 0.357, "grad_norm": 26.875, "grad_norm_var": 3.0858723958333334, "learning_rate": 0.0001, "loss": 7.2643, "loss/crossentropy": 2.109933242201805, "loss/hidden": 3.362890625, "loss/jsd": 0.0, "loss/logits": 0.1951975781470537, "step": 14280 }, { "epoch": 0.35725, "grad_norm": 28.875, "grad_norm_var": 1.7747395833333333, "learning_rate": 0.0001, "loss": 7.2549, "loss/crossentropy": 2.104505704343319, "loss/hidden": 3.449609375, "loss/jsd": 0.0, "loss/logits": 0.19365676920861005, "step": 14290 }, { "epoch": 0.3575, "grad_norm": 32.25, "grad_norm_var": 11.114322916666667, "learning_rate": 0.0001, "loss": 7.247, "loss/crossentropy": 2.108228546380997, "loss/hidden": 3.398046875, "loss/jsd": 0.0, "loss/logits": 0.18031150791794062, "step": 14300 }, { "epoch": 0.35775, "grad_norm": 33.5, "grad_norm_var": 4.084375, "learning_rate": 0.0001, "loss": 7.2652, "loss/crossentropy": 2.11306362003088, "loss/hidden": 3.403125, "loss/jsd": 0.0, "loss/logits": 0.19340378735214472, "step": 14310 }, { "epoch": 0.358, "grad_norm": 31.625, "grad_norm_var": 2.2712890625, "learning_rate": 0.0001, "loss": 7.5154, "loss/crossentropy": 2.073298954963684, "loss/hidden": 3.4765625, "loss/jsd": 0.0, "loss/logits": 0.20225481800734996, "step": 14320 }, { "epoch": 0.35825, "grad_norm": 33.0, "grad_norm_var": 7.609309895833333, "learning_rate": 0.0001, "loss": 7.3172, "loss/crossentropy": 2.068447032570839, "loss/hidden": 3.360546875, "loss/jsd": 0.0, "loss/logits": 0.1848990023136139, "step": 14330 }, { "epoch": 0.3585, "grad_norm": 28.625, "grad_norm_var": 9.287434895833334, "learning_rate": 0.0001, "loss": 7.341, "loss/crossentropy": 2.0122443050146104, "loss/hidden": 3.270703125, "loss/jsd": 0.0, "loss/logits": 0.16750977858901023, "step": 14340 }, { "epoch": 0.35875, "grad_norm": 31.625, "grad_norm_var": 1.5587890625, "learning_rate": 0.0001, "loss": 7.4114, "loss/crossentropy": 1.9815908901393413, "loss/hidden": 3.413671875, "loss/jsd": 0.0, "loss/logits": 0.19162300042808056, "step": 14350 }, { "epoch": 0.359, "grad_norm": 34.5, "grad_norm_var": 1.75390625, "learning_rate": 0.0001, "loss": 7.4096, "loss/crossentropy": 2.0974107921123504, "loss/hidden": 3.418359375, "loss/jsd": 0.0, "loss/logits": 0.18985395636409522, "step": 14360 }, { "epoch": 0.35925, "grad_norm": 29.875, "grad_norm_var": 27.2291015625, "learning_rate": 0.0001, "loss": 7.2838, "loss/crossentropy": 2.18302740752697, "loss/hidden": 3.3375, "loss/jsd": 0.0, "loss/logits": 0.19919114038348198, "step": 14370 }, { "epoch": 0.3595, "grad_norm": 29.0, "grad_norm_var": 2.393684895833333, "learning_rate": 0.0001, "loss": 7.3591, "loss/crossentropy": 2.1828642159700395, "loss/hidden": 3.3515625, "loss/jsd": 0.0, "loss/logits": 0.1880602626129985, "step": 14380 }, { "epoch": 0.35975, "grad_norm": 28.25, "grad_norm_var": 1.8875, "learning_rate": 0.0001, "loss": 7.4149, "loss/crossentropy": 2.0250351071357726, "loss/hidden": 3.432421875, "loss/jsd": 0.0, "loss/logits": 0.21426690481603144, "step": 14390 }, { "epoch": 0.36, "grad_norm": 36.0, "grad_norm_var": 4.823893229166667, "learning_rate": 0.0001, "loss": 7.3843, "loss/crossentropy": 1.9927750542759894, "loss/hidden": 3.3671875, "loss/jsd": 0.0, "loss/logits": 0.18537398371845484, "step": 14400 }, { "epoch": 0.36025, "grad_norm": 48.0, "grad_norm_var": 20.270247395833334, "learning_rate": 0.0001, "loss": 7.3442, "loss/crossentropy": 2.2051343381404878, "loss/hidden": 3.337109375, "loss/jsd": 0.0, "loss/logits": 0.18966466654092073, "step": 14410 }, { "epoch": 0.3605, "grad_norm": 26.75, "grad_norm_var": 32.15598958333333, "learning_rate": 0.0001, "loss": 7.3599, "loss/crossentropy": 2.050907912105322, "loss/hidden": 3.34453125, "loss/jsd": 0.0, "loss/logits": 0.18331205267459155, "step": 14420 }, { "epoch": 0.36075, "grad_norm": 32.0, "grad_norm_var": 15.5244140625, "learning_rate": 0.0001, "loss": 7.4431, "loss/crossentropy": 1.9177762359380721, "loss/hidden": 3.507421875, "loss/jsd": 0.0, "loss/logits": 0.18733049537986518, "step": 14430 }, { "epoch": 0.361, "grad_norm": 31.625, "grad_norm_var": 3.370247395833333, "learning_rate": 0.0001, "loss": 7.3748, "loss/crossentropy": 2.1186861246824265, "loss/hidden": 3.374609375, "loss/jsd": 0.0, "loss/logits": 0.1846270103007555, "step": 14440 }, { "epoch": 0.36125, "grad_norm": 31.125, "grad_norm_var": 2.378059895833333, "learning_rate": 0.0001, "loss": 7.4001, "loss/crossentropy": 2.1338623888790607, "loss/hidden": 3.42890625, "loss/jsd": 0.0, "loss/logits": 0.1889139147475362, "step": 14450 }, { "epoch": 0.3615, "grad_norm": 29.125, "grad_norm_var": 5.045572916666667, "learning_rate": 0.0001, "loss": 7.3355, "loss/crossentropy": 1.9586334988474845, "loss/hidden": 3.36015625, "loss/jsd": 0.0, "loss/logits": 0.1830888209864497, "step": 14460 }, { "epoch": 0.36175, "grad_norm": 29.375, "grad_norm_var": 11.797916666666667, "learning_rate": 0.0001, "loss": 7.4646, "loss/crossentropy": 2.0122861742973326, "loss/hidden": 3.436328125, "loss/jsd": 0.0, "loss/logits": 0.2004035959020257, "step": 14470 }, { "epoch": 0.362, "grad_norm": 32.0, "grad_norm_var": 11.684309895833334, "learning_rate": 0.0001, "loss": 7.4154, "loss/crossentropy": 2.1907495334744453, "loss/hidden": 3.424609375, "loss/jsd": 0.0, "loss/logits": 0.2014760635793209, "step": 14480 }, { "epoch": 0.36225, "grad_norm": 32.75, "grad_norm_var": 14.495247395833333, "learning_rate": 0.0001, "loss": 7.3255, "loss/crossentropy": 2.0414177522063257, "loss/hidden": 3.33515625, "loss/jsd": 0.0, "loss/logits": 0.17212325502187015, "step": 14490 }, { "epoch": 0.3625, "grad_norm": 28.875, "grad_norm_var": 9.85390625, "learning_rate": 0.0001, "loss": 7.4188, "loss/crossentropy": 1.875846453011036, "loss/hidden": 3.4109375, "loss/jsd": 0.0, "loss/logits": 0.18002864755690098, "step": 14500 }, { "epoch": 0.36275, "grad_norm": 32.5, "grad_norm_var": 1.7400390625, "learning_rate": 0.0001, "loss": 7.3819, "loss/crossentropy": 2.2282170712947846, "loss/hidden": 3.43359375, "loss/jsd": 0.0, "loss/logits": 0.20617649108171462, "step": 14510 }, { "epoch": 0.363, "grad_norm": 29.0, "grad_norm_var": 26.622330729166666, "learning_rate": 0.0001, "loss": 7.3494, "loss/crossentropy": 2.1207677230238913, "loss/hidden": 3.455859375, "loss/jsd": 0.0, "loss/logits": 0.18537767957895995, "step": 14520 }, { "epoch": 0.36325, "grad_norm": 28.5, "grad_norm_var": 1.15, "learning_rate": 0.0001, "loss": 7.2906, "loss/crossentropy": 2.1179309889674185, "loss/hidden": 3.39296875, "loss/jsd": 0.0, "loss/logits": 0.18408581465482712, "step": 14530 }, { "epoch": 0.3635, "grad_norm": 31.125, "grad_norm_var": 2.851822916666667, "learning_rate": 0.0001, "loss": 7.3786, "loss/crossentropy": 2.0486052967607975, "loss/hidden": 3.35859375, "loss/jsd": 0.0, "loss/logits": 0.17906265445053576, "step": 14540 }, { "epoch": 0.36375, "grad_norm": 33.0, "grad_norm_var": 3.184830729166667, "learning_rate": 0.0001, "loss": 7.3423, "loss/crossentropy": 2.301698251068592, "loss/hidden": 3.3765625, "loss/jsd": 0.0, "loss/logits": 0.19077361291274428, "step": 14550 }, { "epoch": 0.364, "grad_norm": 33.25, "grad_norm_var": 2.2134765625, "learning_rate": 0.0001, "loss": 7.3047, "loss/crossentropy": 2.074369618296623, "loss/hidden": 3.293359375, "loss/jsd": 0.0, "loss/logits": 0.17446096520870924, "step": 14560 }, { "epoch": 0.36425, "grad_norm": 32.5, "grad_norm_var": 2.6910807291666665, "learning_rate": 0.0001, "loss": 7.412, "loss/crossentropy": 2.070549990236759, "loss/hidden": 3.501953125, "loss/jsd": 0.0, "loss/logits": 0.2114204354584217, "step": 14570 }, { "epoch": 0.3645, "grad_norm": 31.875, "grad_norm_var": 31.843489583333334, "learning_rate": 0.0001, "loss": 7.4461, "loss/crossentropy": 2.2021229028701783, "loss/hidden": 3.412890625, "loss/jsd": 0.0, "loss/logits": 0.1946948293596506, "step": 14580 }, { "epoch": 0.36475, "grad_norm": 28.875, "grad_norm_var": 32.17916666666667, "learning_rate": 0.0001, "loss": 7.33, "loss/crossentropy": 2.07574619948864, "loss/hidden": 3.41875, "loss/jsd": 0.0, "loss/logits": 0.199923849850893, "step": 14590 }, { "epoch": 0.365, "grad_norm": 29.625, "grad_norm_var": 1.3020833333333333, "learning_rate": 0.0001, "loss": 7.3285, "loss/crossentropy": 2.236181080341339, "loss/hidden": 3.295703125, "loss/jsd": 0.0, "loss/logits": 0.18559221122413874, "step": 14600 }, { "epoch": 0.36525, "grad_norm": 27.875, "grad_norm_var": 1.6979166666666667, "learning_rate": 0.0001, "loss": 7.4122, "loss/crossentropy": 2.029696011543274, "loss/hidden": 3.365234375, "loss/jsd": 0.0, "loss/logits": 0.18932779133319855, "step": 14610 }, { "epoch": 0.3655, "grad_norm": 29.375, "grad_norm_var": 3.17265625, "learning_rate": 0.0001, "loss": 7.3296, "loss/crossentropy": 2.0676317110657694, "loss/hidden": 3.308984375, "loss/jsd": 0.0, "loss/logits": 0.1811735849827528, "step": 14620 }, { "epoch": 0.36575, "grad_norm": 31.5, "grad_norm_var": 3.8629557291666665, "learning_rate": 0.0001, "loss": 7.3105, "loss/crossentropy": 2.1635128699243067, "loss/hidden": 3.33671875, "loss/jsd": 0.0, "loss/logits": 0.19529270604252816, "step": 14630 }, { "epoch": 0.366, "grad_norm": 28.25, "grad_norm_var": 3.3955729166666666, "learning_rate": 0.0001, "loss": 7.3913, "loss/crossentropy": 2.0359733670949938, "loss/hidden": 3.5, "loss/jsd": 0.0, "loss/logits": 0.20129154790192844, "step": 14640 }, { "epoch": 0.36625, "grad_norm": 30.5, "grad_norm_var": 3.72265625, "learning_rate": 0.0001, "loss": 7.3418, "loss/crossentropy": 1.895400796085596, "loss/hidden": 3.4125, "loss/jsd": 0.0, "loss/logits": 0.17521814415231346, "step": 14650 }, { "epoch": 0.3665, "grad_norm": 30.375, "grad_norm_var": 1.7302083333333333, "learning_rate": 0.0001, "loss": 7.3042, "loss/crossentropy": 2.0394834615290165, "loss/hidden": 3.21953125, "loss/jsd": 0.0, "loss/logits": 0.17233089366927742, "step": 14660 }, { "epoch": 0.36675, "grad_norm": 28.25, "grad_norm_var": 36.44479166666667, "learning_rate": 0.0001, "loss": 7.3335, "loss/crossentropy": 1.8397274687886238, "loss/hidden": 3.4515625, "loss/jsd": 0.0, "loss/logits": 0.17788148634135723, "step": 14670 }, { "epoch": 0.367, "grad_norm": 27.875, "grad_norm_var": 38.53639322916667, "learning_rate": 0.0001, "loss": 7.3786, "loss/crossentropy": 2.2247194588184356, "loss/hidden": 3.4203125, "loss/jsd": 0.0, "loss/logits": 0.19322688207030297, "step": 14680 }, { "epoch": 0.36725, "grad_norm": 40.0, "grad_norm_var": 13.45390625, "learning_rate": 0.0001, "loss": 7.3179, "loss/crossentropy": 1.9937927357852459, "loss/hidden": 3.376171875, "loss/jsd": 0.0, "loss/logits": 0.17893323805183173, "step": 14690 }, { "epoch": 0.3675, "grad_norm": 32.75, "grad_norm_var": 11.25, "learning_rate": 0.0001, "loss": 7.2325, "loss/crossentropy": 2.0396489590406417, "loss/hidden": 3.44140625, "loss/jsd": 0.0, "loss/logits": 0.1912191865965724, "step": 14700 }, { "epoch": 0.36775, "grad_norm": 33.0, "grad_norm_var": 7.471875, "learning_rate": 0.0001, "loss": 7.4509, "loss/crossentropy": 2.1277743950486183, "loss/hidden": 3.449609375, "loss/jsd": 0.0, "loss/logits": 0.20408784411847591, "step": 14710 }, { "epoch": 0.368, "grad_norm": 30.75, "grad_norm_var": 8.546875, "learning_rate": 0.0001, "loss": 7.3855, "loss/crossentropy": 2.2228190809488297, "loss/hidden": 3.362890625, "loss/jsd": 0.0, "loss/logits": 0.1884877322241664, "step": 14720 }, { "epoch": 0.36825, "grad_norm": 28.625, "grad_norm_var": 15.142708333333333, "learning_rate": 0.0001, "loss": 7.4076, "loss/crossentropy": 2.1207469016313554, "loss/hidden": 3.34609375, "loss/jsd": 0.0, "loss/logits": 0.17780339773744344, "step": 14730 }, { "epoch": 0.3685, "grad_norm": 31.125, "grad_norm_var": 3.004622395833333, "learning_rate": 0.0001, "loss": 7.3209, "loss/crossentropy": 2.0066810354590414, "loss/hidden": 3.519921875, "loss/jsd": 0.0, "loss/logits": 0.20999562088400126, "step": 14740 }, { "epoch": 0.36875, "grad_norm": 38.25, "grad_norm_var": 15.4259765625, "learning_rate": 0.0001, "loss": 7.4197, "loss/crossentropy": 2.0302488803863525, "loss/hidden": 3.491796875, "loss/jsd": 0.0, "loss/logits": 0.1997592320665717, "step": 14750 }, { "epoch": 0.369, "grad_norm": 32.5, "grad_norm_var": 22.669791666666665, "learning_rate": 0.0001, "loss": 7.3414, "loss/crossentropy": 2.006557123363018, "loss/hidden": 3.333203125, "loss/jsd": 0.0, "loss/logits": 0.18148684445768595, "step": 14760 }, { "epoch": 0.36925, "grad_norm": 29.5, "grad_norm_var": 22.362434895833335, "learning_rate": 0.0001, "loss": 7.347, "loss/crossentropy": 2.07253782749176, "loss/hidden": 3.274609375, "loss/jsd": 0.0, "loss/logits": 0.17341973297297955, "step": 14770 }, { "epoch": 0.3695, "grad_norm": 30.75, "grad_norm_var": 17.227018229166667, "learning_rate": 0.0001, "loss": 7.3839, "loss/crossentropy": 2.056871312856674, "loss/hidden": 3.367578125, "loss/jsd": 0.0, "loss/logits": 0.21048452276736498, "step": 14780 }, { "epoch": 0.36975, "grad_norm": 27.875, "grad_norm_var": 38.5947265625, "learning_rate": 0.0001, "loss": 7.4979, "loss/crossentropy": 2.1910998940467836, "loss/hidden": 3.480859375, "loss/jsd": 0.0, "loss/logits": 0.20320441015064716, "step": 14790 }, { "epoch": 0.37, "grad_norm": 31.25, "grad_norm_var": 2.081788902243793e+18, "learning_rate": 0.0001, "loss": 7.3396, "loss/crossentropy": 2.0854848250746727, "loss/hidden": 3.37265625, "loss/jsd": 0.0, "loss/logits": 0.19095470141619444, "step": 14800 }, { "epoch": 0.37025, "grad_norm": 34.75, "grad_norm_var": 2.0817889032778286e+18, "learning_rate": 0.0001, "loss": 7.349, "loss/crossentropy": 2.024295690655708, "loss/hidden": 3.417578125, "loss/jsd": 0.0, "loss/logits": 0.2073504414409399, "step": 14810 }, { "epoch": 0.3705, "grad_norm": 30.375, "grad_norm_var": 8.116080729166667, "learning_rate": 0.0001, "loss": 7.1984, "loss/crossentropy": 1.9738368421792984, "loss/hidden": 3.352734375, "loss/jsd": 0.0, "loss/logits": 0.175398519821465, "step": 14820 }, { "epoch": 0.37075, "grad_norm": 34.0, "grad_norm_var": 3.95390625, "learning_rate": 0.0001, "loss": 7.3269, "loss/crossentropy": 2.0109583623707294, "loss/hidden": 3.432421875, "loss/jsd": 0.0, "loss/logits": 0.1902273640036583, "step": 14830 }, { "epoch": 0.371, "grad_norm": 30.25, "grad_norm_var": 3.410416666666667, "learning_rate": 0.0001, "loss": 7.3309, "loss/crossentropy": 2.0899639569222925, "loss/hidden": 3.444921875, "loss/jsd": 0.0, "loss/logits": 0.18828139845281838, "step": 14840 }, { "epoch": 0.37125, "grad_norm": 31.375, "grad_norm_var": 51.5087890625, "learning_rate": 0.0001, "loss": 7.2761, "loss/crossentropy": 2.0561746567487718, "loss/hidden": 3.308203125, "loss/jsd": 0.0, "loss/logits": 0.17576684867963194, "step": 14850 }, { "epoch": 0.3715, "grad_norm": 32.25, "grad_norm_var": 54.873372395833336, "learning_rate": 0.0001, "loss": 7.2875, "loss/crossentropy": 2.1231576301157475, "loss/hidden": 3.405859375, "loss/jsd": 0.0, "loss/logits": 0.1990961253643036, "step": 14860 }, { "epoch": 0.37175, "grad_norm": 34.25, "grad_norm_var": 29.984309895833334, "learning_rate": 0.0001, "loss": 7.3424, "loss/crossentropy": 2.1051357120275496, "loss/hidden": 3.29453125, "loss/jsd": 0.0, "loss/logits": 0.17979057859629394, "step": 14870 }, { "epoch": 0.372, "grad_norm": 28.25, "grad_norm_var": 19850.327018229167, "learning_rate": 0.0001, "loss": 7.3823, "loss/crossentropy": 2.3242007076740263, "loss/hidden": 3.49609375, "loss/jsd": 0.0, "loss/logits": 0.2740444682538509, "step": 14880 }, { "epoch": 0.37225, "grad_norm": 27.25, "grad_norm_var": 35.0625, "learning_rate": 0.0001, "loss": 7.2273, "loss/crossentropy": 2.143503928184509, "loss/hidden": 3.374609375, "loss/jsd": 0.0, "loss/logits": 0.19005000293254853, "step": 14890 }, { "epoch": 0.3725, "grad_norm": 34.0, "grad_norm_var": 38.23125, "learning_rate": 0.0001, "loss": 7.2655, "loss/crossentropy": 2.1128626547753813, "loss/hidden": 3.40703125, "loss/jsd": 0.0, "loss/logits": 0.18479138296097516, "step": 14900 }, { "epoch": 0.37275, "grad_norm": 31.0, "grad_norm_var": 26.7478515625, "learning_rate": 0.0001, "loss": 7.3153, "loss/crossentropy": 1.860854334384203, "loss/hidden": 3.255859375, "loss/jsd": 0.0, "loss/logits": 0.1592037882655859, "step": 14910 }, { "epoch": 0.373, "grad_norm": 29.625, "grad_norm_var": 30.737239583333334, "learning_rate": 0.0001, "loss": 7.287, "loss/crossentropy": 2.067621612548828, "loss/hidden": 3.468359375, "loss/jsd": 0.0, "loss/logits": 0.1897974604740739, "step": 14920 }, { "epoch": 0.37325, "grad_norm": 29.0, "grad_norm_var": 51.01223958333333, "learning_rate": 0.0001, "loss": 7.4038, "loss/crossentropy": 2.0471679329872132, "loss/hidden": 3.41484375, "loss/jsd": 0.0, "loss/logits": 0.18869173359125851, "step": 14930 }, { "epoch": 0.3735, "grad_norm": 40.25, "grad_norm_var": 42.828059895833334, "learning_rate": 0.0001, "loss": 7.2638, "loss/crossentropy": 2.0969312518835066, "loss/hidden": 3.308984375, "loss/jsd": 0.0, "loss/logits": 0.19103059088811278, "step": 14940 }, { "epoch": 0.37375, "grad_norm": 27.625, "grad_norm_var": 16.3625, "learning_rate": 0.0001, "loss": 7.3022, "loss/crossentropy": 2.208647185564041, "loss/hidden": 3.323046875, "loss/jsd": 0.0, "loss/logits": 0.1936396975070238, "step": 14950 }, { "epoch": 0.374, "grad_norm": 28.625, "grad_norm_var": 16.837239583333332, "learning_rate": 0.0001, "loss": 7.2414, "loss/crossentropy": 2.1974997609853744, "loss/hidden": 3.340625, "loss/jsd": 0.0, "loss/logits": 0.19469811543822288, "step": 14960 }, { "epoch": 0.37425, "grad_norm": 29.625, "grad_norm_var": 14.108072916666666, "learning_rate": 0.0001, "loss": 7.2849, "loss/crossentropy": 2.134792809188366, "loss/hidden": 3.20625, "loss/jsd": 0.0, "loss/logits": 0.17098608147352934, "step": 14970 }, { "epoch": 0.3745, "grad_norm": 33.25, "grad_norm_var": 27.1181640625, "learning_rate": 0.0001, "loss": 7.3014, "loss/crossentropy": 2.1276439666748046, "loss/hidden": 3.3859375, "loss/jsd": 0.0, "loss/logits": 0.18990135621279478, "step": 14980 }, { "epoch": 0.37475, "grad_norm": 29.75, "grad_norm_var": 16.033072916666665, "learning_rate": 0.0001, "loss": 7.3335, "loss/crossentropy": 2.0856949634850026, "loss/hidden": 3.3265625, "loss/jsd": 0.0, "loss/logits": 0.18325317203998565, "step": 14990 }, { "epoch": 0.375, "grad_norm": 31.625, "grad_norm_var": 3.321875, "learning_rate": 0.0001, "loss": 7.3642, "loss/crossentropy": 2.1136090487241743, "loss/hidden": 3.523828125, "loss/jsd": 0.0, "loss/logits": 0.20829910095781087, "step": 15000 }, { "epoch": 0.37525, "grad_norm": 33.25, "grad_norm_var": 4.076497395833333, "learning_rate": 0.0001, "loss": 7.3349, "loss/crossentropy": 2.007338209450245, "loss/hidden": 3.323828125, "loss/jsd": 0.0, "loss/logits": 0.17481161141768098, "step": 15010 }, { "epoch": 0.3755, "grad_norm": 30.125, "grad_norm_var": 7.48515625, "learning_rate": 0.0001, "loss": 7.3839, "loss/crossentropy": 2.1611456774175166, "loss/hidden": 3.3484375, "loss/jsd": 0.0, "loss/logits": 0.1868826244957745, "step": 15020 }, { "epoch": 0.37575, "grad_norm": 30.0, "grad_norm_var": 5.459375, "learning_rate": 0.0001, "loss": 7.2878, "loss/crossentropy": 2.0543340116739275, "loss/hidden": 3.440625, "loss/jsd": 0.0, "loss/logits": 0.1872962446883321, "step": 15030 }, { "epoch": 0.376, "grad_norm": 34.5, "grad_norm_var": 4.847916666666666, "learning_rate": 0.0001, "loss": 7.2701, "loss/crossentropy": 2.079775569587946, "loss/hidden": 3.40546875, "loss/jsd": 0.0, "loss/logits": 0.19110171888023614, "step": 15040 }, { "epoch": 0.37625, "grad_norm": 29.5, "grad_norm_var": 4.3212890625, "learning_rate": 0.0001, "loss": 7.3025, "loss/crossentropy": 2.267373038828373, "loss/hidden": 3.31015625, "loss/jsd": 0.0, "loss/logits": 0.1936658274382353, "step": 15050 }, { "epoch": 0.3765, "grad_norm": 31.875, "grad_norm_var": 3.746875, "learning_rate": 0.0001, "loss": 7.3107, "loss/crossentropy": 2.1074527725577354, "loss/hidden": 3.3203125, "loss/jsd": 0.0, "loss/logits": 0.18790427446365357, "step": 15060 }, { "epoch": 0.37675, "grad_norm": 29.125, "grad_norm_var": 5.162955729166667, "learning_rate": 0.0001, "loss": 7.3127, "loss/crossentropy": 2.1202156826853753, "loss/hidden": 3.38671875, "loss/jsd": 0.0, "loss/logits": 0.18663588212803006, "step": 15070 }, { "epoch": 0.377, "grad_norm": 32.5, "grad_norm_var": 4.164583333333334, "learning_rate": 0.0001, "loss": 7.302, "loss/crossentropy": 1.978425008058548, "loss/hidden": 3.3359375, "loss/jsd": 0.0, "loss/logits": 0.17640805542469024, "step": 15080 }, { "epoch": 0.37725, "grad_norm": 29.75, "grad_norm_var": 5.9962890625, "learning_rate": 0.0001, "loss": 7.2746, "loss/crossentropy": 1.9541339822113515, "loss/hidden": 3.408984375, "loss/jsd": 0.0, "loss/logits": 0.18182314159348606, "step": 15090 }, { "epoch": 0.3775, "grad_norm": 31.375, "grad_norm_var": 5.4822265625, "learning_rate": 0.0001, "loss": 7.1614, "loss/crossentropy": 2.26050483584404, "loss/hidden": 3.287109375, "loss/jsd": 0.0, "loss/logits": 0.18672147747129203, "step": 15100 }, { "epoch": 0.37775, "grad_norm": 35.75, "grad_norm_var": 10.6431640625, "learning_rate": 0.0001, "loss": 7.4291, "loss/crossentropy": 1.9852021753787994, "loss/hidden": 3.343359375, "loss/jsd": 0.0, "loss/logits": 0.1927258798852563, "step": 15110 }, { "epoch": 0.378, "grad_norm": 30.875, "grad_norm_var": 6.601041666666666, "learning_rate": 0.0001, "loss": 7.2829, "loss/crossentropy": 2.067719455063343, "loss/hidden": 3.293359375, "loss/jsd": 0.0, "loss/logits": 0.1875240265391767, "step": 15120 }, { "epoch": 0.37825, "grad_norm": 34.75, "grad_norm_var": 8.2572265625, "learning_rate": 0.0001, "loss": 7.206, "loss/crossentropy": 2.0955534875392914, "loss/hidden": 3.359375, "loss/jsd": 0.0, "loss/logits": 0.18975083716213703, "step": 15130 }, { "epoch": 0.3785, "grad_norm": 33.5, "grad_norm_var": 4.514518229166667, "learning_rate": 0.0001, "loss": 7.3649, "loss/crossentropy": 2.231545624136925, "loss/hidden": 3.4015625, "loss/jsd": 0.0, "loss/logits": 0.1933881167322397, "step": 15140 }, { "epoch": 0.37875, "grad_norm": 31.25, "grad_norm_var": 6.922916666666667, "learning_rate": 0.0001, "loss": 7.3186, "loss/crossentropy": 2.1041683927178383, "loss/hidden": 3.315625, "loss/jsd": 0.0, "loss/logits": 0.17568105049431323, "step": 15150 }, { "epoch": 0.379, "grad_norm": 31.25, "grad_norm_var": 8.064583333333333, "learning_rate": 0.0001, "loss": 7.1475, "loss/crossentropy": 2.128729820251465, "loss/hidden": 3.267578125, "loss/jsd": 0.0, "loss/logits": 0.18820853671059012, "step": 15160 }, { "epoch": 0.37925, "grad_norm": 32.75, "grad_norm_var": 54.0400390625, "learning_rate": 0.0001, "loss": 7.4073, "loss/crossentropy": 2.0806841500103475, "loss/hidden": 3.43515625, "loss/jsd": 0.0, "loss/logits": 0.19645702093839645, "step": 15170 }, { "epoch": 0.3795, "grad_norm": 31.375, "grad_norm_var": 53.652018229166664, "learning_rate": 0.0001, "loss": 7.1232, "loss/crossentropy": 2.077859415113926, "loss/hidden": 3.314453125, "loss/jsd": 0.0, "loss/logits": 0.18113754820078612, "step": 15180 }, { "epoch": 0.37975, "grad_norm": 34.0, "grad_norm_var": 2.986167996076768e+18, "learning_rate": 0.0001, "loss": 7.2362, "loss/crossentropy": 1.911629044264555, "loss/hidden": 3.439453125, "loss/jsd": 0.0, "loss/logits": 0.17613004967570306, "step": 15190 }, { "epoch": 0.38, "grad_norm": 30.0, "grad_norm_var": 2.9861679996912794e+18, "learning_rate": 0.0001, "loss": 7.2782, "loss/crossentropy": 2.120191100984812, "loss/hidden": 3.351953125, "loss/jsd": 0.0, "loss/logits": 0.1851762106642127, "step": 15200 }, { "epoch": 0.38025, "grad_norm": 31.375, "grad_norm_var": 2.6010416666666667, "learning_rate": 0.0001, "loss": 7.3305, "loss/crossentropy": 2.084269215166569, "loss/hidden": 3.39453125, "loss/jsd": 0.0, "loss/logits": 0.1797555785626173, "step": 15210 }, { "epoch": 0.3805, "grad_norm": 31.625, "grad_norm_var": 10.604622395833333, "learning_rate": 0.0001, "loss": 7.2582, "loss/crossentropy": 2.077724662423134, "loss/hidden": 3.292578125, "loss/jsd": 0.0, "loss/logits": 0.17972503434866666, "step": 15220 }, { "epoch": 0.38075, "grad_norm": 32.25, "grad_norm_var": 10.440625, "learning_rate": 0.0001, "loss": 7.298, "loss/crossentropy": 2.025072456151247, "loss/hidden": 3.382421875, "loss/jsd": 0.0, "loss/logits": 0.18922405112534763, "step": 15230 }, { "epoch": 0.381, "grad_norm": 32.5, "grad_norm_var": 3.56875, "learning_rate": 0.0001, "loss": 7.3076, "loss/crossentropy": 2.1376619666814802, "loss/hidden": 3.40078125, "loss/jsd": 0.0, "loss/logits": 0.2057780459523201, "step": 15240 }, { "epoch": 0.38125, "grad_norm": 30.25, "grad_norm_var": 1.3330729166666666, "learning_rate": 0.0001, "loss": 7.2858, "loss/crossentropy": 2.0143167987465858, "loss/hidden": 3.396875, "loss/jsd": 0.0, "loss/logits": 0.19064239636063576, "step": 15250 }, { "epoch": 0.3815, "grad_norm": 30.75, "grad_norm_var": 1.2483723958333333, "learning_rate": 0.0001, "loss": 7.2522, "loss/crossentropy": 2.0520439468324185, "loss/hidden": 3.332421875, "loss/jsd": 0.0, "loss/logits": 0.18599720411002635, "step": 15260 }, { "epoch": 0.38175, "grad_norm": 31.0, "grad_norm_var": 1.7712890625, "learning_rate": 0.0001, "loss": 7.1878, "loss/crossentropy": 2.1704175978899003, "loss/hidden": 3.32578125, "loss/jsd": 0.0, "loss/logits": 0.17961867786943914, "step": 15270 }, { "epoch": 0.382, "grad_norm": 30.375, "grad_norm_var": 7.103125, "learning_rate": 0.0001, "loss": 7.3041, "loss/crossentropy": 2.081410513818264, "loss/hidden": 3.351171875, "loss/jsd": 0.0, "loss/logits": 0.18557187523692847, "step": 15280 }, { "epoch": 0.38225, "grad_norm": 32.25, "grad_norm_var": 6.169205729166666, "learning_rate": 0.0001, "loss": 7.2756, "loss/crossentropy": 2.0742292061448095, "loss/hidden": 3.355078125, "loss/jsd": 0.0, "loss/logits": 0.18702635429799558, "step": 15290 }, { "epoch": 0.3825, "grad_norm": 29.125, "grad_norm_var": 5.061458333333333, "learning_rate": 0.0001, "loss": 7.3008, "loss/crossentropy": 2.081205701082945, "loss/hidden": 3.38828125, "loss/jsd": 0.0, "loss/logits": 0.1858987484127283, "step": 15300 }, { "epoch": 0.38275, "grad_norm": 31.625, "grad_norm_var": 3.6405598958333334, "learning_rate": 0.0001, "loss": 7.2722, "loss/crossentropy": 1.9639541752636434, "loss/hidden": 3.383203125, "loss/jsd": 0.0, "loss/logits": 0.18367136251181365, "step": 15310 }, { "epoch": 0.383, "grad_norm": 29.375, "grad_norm_var": 4.342708333333333, "learning_rate": 0.0001, "loss": 7.3282, "loss/crossentropy": 1.8718928024172783, "loss/hidden": 3.343359375, "loss/jsd": 0.0, "loss/logits": 0.18070896286517382, "step": 15320 }, { "epoch": 0.38325, "grad_norm": 29.75, "grad_norm_var": 15.129166666666666, "learning_rate": 0.0001, "loss": 7.1724, "loss/crossentropy": 2.0988180577754973, "loss/hidden": 3.3046875, "loss/jsd": 0.0, "loss/logits": 0.1885043691843748, "step": 15330 }, { "epoch": 0.3835, "grad_norm": 28.5, "grad_norm_var": 11.845833333333333, "learning_rate": 0.0001, "loss": 7.385, "loss/crossentropy": 2.1939360052347183, "loss/hidden": 3.377734375, "loss/jsd": 0.0, "loss/logits": 0.1921105194836855, "step": 15340 }, { "epoch": 0.38375, "grad_norm": 37.0, "grad_norm_var": 9.03515625, "learning_rate": 0.0001, "loss": 7.3133, "loss/crossentropy": 2.0929661616683006, "loss/hidden": 3.3015625, "loss/jsd": 0.0, "loss/logits": 0.17670788932591677, "step": 15350 }, { "epoch": 0.384, "grad_norm": 30.625, "grad_norm_var": 6.0259765625, "learning_rate": 0.0001, "loss": 7.2666, "loss/crossentropy": 2.146226355433464, "loss/hidden": 3.27578125, "loss/jsd": 0.0, "loss/logits": 0.18036798052489758, "step": 15360 }, { "epoch": 0.38425, "grad_norm": 33.75, "grad_norm_var": 6.095768229166667, "learning_rate": 0.0001, "loss": 7.2881, "loss/crossentropy": 2.1441670656204224, "loss/hidden": 3.29609375, "loss/jsd": 0.0, "loss/logits": 0.17735737133771182, "step": 15370 }, { "epoch": 0.3845, "grad_norm": 31.0, "grad_norm_var": 15.9291015625, "learning_rate": 0.0001, "loss": 7.2613, "loss/crossentropy": 1.9772998243570328, "loss/hidden": 3.375, "loss/jsd": 0.0, "loss/logits": 0.1872927848249674, "step": 15380 }, { "epoch": 0.38475, "grad_norm": 29.125, "grad_norm_var": 23.395833333333332, "learning_rate": 0.0001, "loss": 7.3075, "loss/crossentropy": 2.061436576396227, "loss/hidden": 3.303515625, "loss/jsd": 0.0, "loss/logits": 0.1824639480561018, "step": 15390 }, { "epoch": 0.385, "grad_norm": 28.0, "grad_norm_var": 40.42890625, "learning_rate": 0.0001, "loss": 7.307, "loss/crossentropy": 2.222813582420349, "loss/hidden": 3.35078125, "loss/jsd": 0.0, "loss/logits": 0.1908612387254834, "step": 15400 }, { "epoch": 0.38525, "grad_norm": 33.0, "grad_norm_var": 6.859309895833333, "learning_rate": 0.0001, "loss": 7.3366, "loss/crossentropy": 1.905498656630516, "loss/hidden": 3.4296875, "loss/jsd": 0.0, "loss/logits": 0.19282873664051295, "step": 15410 }, { "epoch": 0.3855, "grad_norm": 34.0, "grad_norm_var": 2.953125, "learning_rate": 0.0001, "loss": 7.3019, "loss/crossentropy": 2.1414296105504036, "loss/hidden": 3.362109375, "loss/jsd": 0.0, "loss/logits": 0.1922605263069272, "step": 15420 }, { "epoch": 0.38575, "grad_norm": 32.25, "grad_norm_var": 3.1556640625, "learning_rate": 0.0001, "loss": 7.3754, "loss/crossentropy": 2.168923759460449, "loss/hidden": 3.37890625, "loss/jsd": 0.0, "loss/logits": 0.18643623348325492, "step": 15430 }, { "epoch": 0.386, "grad_norm": 47.5, "grad_norm_var": 21.223893229166666, "learning_rate": 0.0001, "loss": 7.311, "loss/crossentropy": 2.0150568321347238, "loss/hidden": 3.3765625, "loss/jsd": 0.0, "loss/logits": 0.18107260223478078, "step": 15440 }, { "epoch": 0.38625, "grad_norm": 30.125, "grad_norm_var": 22.613541666666666, "learning_rate": 0.0001, "loss": 7.3546, "loss/crossentropy": 2.000614331662655, "loss/hidden": 3.412890625, "loss/jsd": 0.0, "loss/logits": 0.1795403585769236, "step": 15450 }, { "epoch": 0.3865, "grad_norm": 30.875, "grad_norm_var": 4.323958333333334, "learning_rate": 0.0001, "loss": 7.2787, "loss/crossentropy": 2.1310448944568634, "loss/hidden": 3.3625, "loss/jsd": 0.0, "loss/logits": 0.20316302124410868, "step": 15460 }, { "epoch": 0.38675, "grad_norm": 28.875, "grad_norm_var": 2.8900390625, "learning_rate": 0.0001, "loss": 7.2955, "loss/crossentropy": 2.261080901324749, "loss/hidden": 3.283203125, "loss/jsd": 0.0, "loss/logits": 0.195007973536849, "step": 15470 }, { "epoch": 0.387, "grad_norm": 34.5, "grad_norm_var": 5.880208333333333, "learning_rate": 0.0001, "loss": 7.412, "loss/crossentropy": 2.137118950486183, "loss/hidden": 3.428125, "loss/jsd": 0.0, "loss/logits": 0.20062100179493428, "step": 15480 }, { "epoch": 0.38725, "grad_norm": 31.5, "grad_norm_var": 4.9634765625, "learning_rate": 0.0001, "loss": 7.3413, "loss/crossentropy": 2.281751687824726, "loss/hidden": 3.39296875, "loss/jsd": 0.0, "loss/logits": 0.19415688924491406, "step": 15490 }, { "epoch": 0.3875, "grad_norm": 31.875, "grad_norm_var": 2.1134765625, "learning_rate": 0.0001, "loss": 7.3408, "loss/crossentropy": 2.0828112423419953, "loss/hidden": 3.463671875, "loss/jsd": 0.0, "loss/logits": 0.20367840733379125, "step": 15500 }, { "epoch": 0.38775, "grad_norm": 28.75, "grad_norm_var": 67.39765625, "learning_rate": 0.0001, "loss": 7.3114, "loss/crossentropy": 1.944053754210472, "loss/hidden": 3.2671875, "loss/jsd": 0.0, "loss/logits": 0.16787241958081722, "step": 15510 }, { "epoch": 0.388, "grad_norm": 30.0, "grad_norm_var": 69.334375, "learning_rate": 0.0001, "loss": 7.418, "loss/crossentropy": 2.0586235135793687, "loss/hidden": 3.3078125, "loss/jsd": 0.0, "loss/logits": 0.18477604109793902, "step": 15520 }, { "epoch": 0.38825, "grad_norm": 30.25, "grad_norm_var": 23.683333333333334, "learning_rate": 0.0001, "loss": 7.2656, "loss/crossentropy": 2.1504869014024734, "loss/hidden": 3.31953125, "loss/jsd": 0.0, "loss/logits": 0.1810676084831357, "step": 15530 }, { "epoch": 0.3885, "grad_norm": 30.0, "grad_norm_var": 31.371875, "learning_rate": 0.0001, "loss": 7.2194, "loss/crossentropy": 2.043111228942871, "loss/hidden": 3.349609375, "loss/jsd": 0.0, "loss/logits": 0.18173537645488977, "step": 15540 }, { "epoch": 0.38875, "grad_norm": 27.75, "grad_norm_var": 25.820247395833334, "learning_rate": 0.0001, "loss": 7.2142, "loss/crossentropy": 1.9861251831054687, "loss/hidden": 3.353125, "loss/jsd": 0.0, "loss/logits": 0.1864440616220236, "step": 15550 }, { "epoch": 0.389, "grad_norm": 28.875, "grad_norm_var": 31.534830729166668, "learning_rate": 0.0001, "loss": 7.303, "loss/crossentropy": 2.0181840524077415, "loss/hidden": 3.430078125, "loss/jsd": 0.0, "loss/logits": 0.1844530213624239, "step": 15560 }, { "epoch": 0.38925, "grad_norm": 33.0, "grad_norm_var": 29.174739583333334, "learning_rate": 0.0001, "loss": 7.3188, "loss/crossentropy": 2.0922836802899836, "loss/hidden": 3.468359375, "loss/jsd": 0.0, "loss/logits": 0.18936851639300584, "step": 15570 }, { "epoch": 0.3895, "grad_norm": 32.25, "grad_norm_var": 13.853125, "learning_rate": 0.0001, "loss": 7.2795, "loss/crossentropy": 2.0901282012462614, "loss/hidden": 3.361328125, "loss/jsd": 0.0, "loss/logits": 0.18346477318555116, "step": 15580 }, { "epoch": 0.38975, "grad_norm": 50.0, "grad_norm_var": 32.6509765625, "learning_rate": 0.0001, "loss": 7.2721, "loss/crossentropy": 2.1004329577088354, "loss/hidden": 3.362890625, "loss/jsd": 0.0, "loss/logits": 0.1858608016744256, "step": 15590 }, { "epoch": 0.39, "grad_norm": 28.5, "grad_norm_var": 60.52389322916667, "learning_rate": 0.0001, "loss": 7.1135, "loss/crossentropy": 2.058871814608574, "loss/hidden": 3.345703125, "loss/jsd": 0.0, "loss/logits": 0.18565063830465078, "step": 15600 }, { "epoch": 0.39025, "grad_norm": 32.25, "grad_norm_var": 45.546875, "learning_rate": 0.0001, "loss": 7.1575, "loss/crossentropy": 1.9910513393580913, "loss/hidden": 3.268359375, "loss/jsd": 0.0, "loss/logits": 0.17116884887218475, "step": 15610 }, { "epoch": 0.3905, "grad_norm": 28.625, "grad_norm_var": 13.693489583333333, "learning_rate": 0.0001, "loss": 7.1938, "loss/crossentropy": 2.0928867653012277, "loss/hidden": 3.313671875, "loss/jsd": 0.0, "loss/logits": 0.1812552411109209, "step": 15620 }, { "epoch": 0.39075, "grad_norm": 38.0, "grad_norm_var": 17.55390625, "learning_rate": 0.0001, "loss": 7.2295, "loss/crossentropy": 1.908367295563221, "loss/hidden": 3.356640625, "loss/jsd": 0.0, "loss/logits": 0.17530275397002698, "step": 15630 }, { "epoch": 0.391, "grad_norm": 32.5, "grad_norm_var": 16.020572916666666, "learning_rate": 0.0001, "loss": 7.3788, "loss/crossentropy": 2.1054799772799013, "loss/hidden": 3.335546875, "loss/jsd": 0.0, "loss/logits": 0.18641111236065627, "step": 15640 }, { "epoch": 0.39125, "grad_norm": 37.5, "grad_norm_var": 17.2744140625, "learning_rate": 0.0001, "loss": 7.2224, "loss/crossentropy": 2.0865116521716116, "loss/hidden": 3.315234375, "loss/jsd": 0.0, "loss/logits": 0.1855388769879937, "step": 15650 }, { "epoch": 0.3915, "grad_norm": 30.5, "grad_norm_var": 10.327018229166667, "learning_rate": 0.0001, "loss": 7.3264, "loss/crossentropy": 2.0367104552686213, "loss/hidden": 3.38828125, "loss/jsd": 0.0, "loss/logits": 0.18481685388833285, "step": 15660 }, { "epoch": 0.39175, "grad_norm": 35.25, "grad_norm_var": 8.862239583333333, "learning_rate": 0.0001, "loss": 7.343, "loss/crossentropy": 2.2644485861063, "loss/hidden": 3.343359375, "loss/jsd": 0.0, "loss/logits": 0.20473828464746474, "step": 15670 }, { "epoch": 0.392, "grad_norm": 29.625, "grad_norm_var": 9.986458333333333, "learning_rate": 0.0001, "loss": 7.3652, "loss/crossentropy": 2.039817491173744, "loss/hidden": 3.337890625, "loss/jsd": 0.0, "loss/logits": 0.1852146415039897, "step": 15680 }, { "epoch": 0.39225, "grad_norm": 36.5, "grad_norm_var": 11.512239583333333, "learning_rate": 0.0001, "loss": 7.2599, "loss/crossentropy": 2.0308106377720834, "loss/hidden": 3.42421875, "loss/jsd": 0.0, "loss/logits": 0.19251971375197172, "step": 15690 }, { "epoch": 0.3925, "grad_norm": 30.375, "grad_norm_var": 9.9650390625, "learning_rate": 0.0001, "loss": 7.2512, "loss/crossentropy": 1.980294729024172, "loss/hidden": 3.2890625, "loss/jsd": 0.0, "loss/logits": 0.17508508097380399, "step": 15700 }, { "epoch": 0.39275, "grad_norm": 32.25, "grad_norm_var": 8.9869140625, "learning_rate": 0.0001, "loss": 7.2101, "loss/crossentropy": 1.817311129719019, "loss/hidden": 3.31328125, "loss/jsd": 0.0, "loss/logits": 0.17575446693226696, "step": 15710 }, { "epoch": 0.393, "grad_norm": 32.0, "grad_norm_var": 6.434375, "learning_rate": 0.0001, "loss": 7.3109, "loss/crossentropy": 2.231336107850075, "loss/hidden": 3.253515625, "loss/jsd": 0.0, "loss/logits": 0.186120249889791, "step": 15720 }, { "epoch": 0.39325, "grad_norm": 27.5, "grad_norm_var": 6.1375, "learning_rate": 0.0001, "loss": 7.2341, "loss/crossentropy": 2.1372755438089373, "loss/hidden": 3.44140625, "loss/jsd": 0.0, "loss/logits": 0.19311708956956863, "step": 15730 }, { "epoch": 0.3935, "grad_norm": 33.0, "grad_norm_var": 12.706184895833333, "learning_rate": 0.0001, "loss": 7.4575, "loss/crossentropy": 2.1330266147851944, "loss/hidden": 3.3796875, "loss/jsd": 0.0, "loss/logits": 0.19104793900623918, "step": 15740 }, { "epoch": 0.39375, "grad_norm": 29.625, "grad_norm_var": 14.846875, "learning_rate": 0.0001, "loss": 7.3186, "loss/crossentropy": 2.090308539569378, "loss/hidden": 3.36875, "loss/jsd": 0.0, "loss/logits": 0.20190660767257212, "step": 15750 }, { "epoch": 0.394, "grad_norm": 30.0, "grad_norm_var": 7.740559895833333, "learning_rate": 0.0001, "loss": 7.3049, "loss/crossentropy": 2.075870428979397, "loss/hidden": 3.344140625, "loss/jsd": 0.0, "loss/logits": 0.1769866080954671, "step": 15760 }, { "epoch": 0.39425, "grad_norm": 29.625, "grad_norm_var": 4.682291666666667, "learning_rate": 0.0001, "loss": 7.2318, "loss/crossentropy": 2.072967618703842, "loss/hidden": 3.380859375, "loss/jsd": 0.0, "loss/logits": 0.18285961151123048, "step": 15770 }, { "epoch": 0.3945, "grad_norm": 28.0, "grad_norm_var": 16.6494140625, "learning_rate": 0.0001, "loss": 7.2528, "loss/crossentropy": 2.099040774255991, "loss/hidden": 3.35546875, "loss/jsd": 0.0, "loss/logits": 0.18526200093328954, "step": 15780 }, { "epoch": 0.39475, "grad_norm": 30.75, "grad_norm_var": 13.454622395833333, "learning_rate": 0.0001, "loss": 7.2255, "loss/crossentropy": 2.0226017188280823, "loss/hidden": 3.376171875, "loss/jsd": 0.0, "loss/logits": 0.17934049041941763, "step": 15790 }, { "epoch": 0.395, "grad_norm": 31.625, "grad_norm_var": 2.4546223958333333, "learning_rate": 0.0001, "loss": 7.3046, "loss/crossentropy": 2.1888489231467245, "loss/hidden": 3.294921875, "loss/jsd": 0.0, "loss/logits": 0.18036039546132088, "step": 15800 }, { "epoch": 0.39525, "grad_norm": 30.125, "grad_norm_var": 2.6393229166666665, "learning_rate": 0.0001, "loss": 7.2127, "loss/crossentropy": 1.9043663069605827, "loss/hidden": 3.309375, "loss/jsd": 0.0, "loss/logits": 0.17555271480232476, "step": 15810 }, { "epoch": 0.3955, "grad_norm": 31.75, "grad_norm_var": 85.26223958333334, "learning_rate": 0.0001, "loss": 7.2355, "loss/crossentropy": 1.9372950181365014, "loss/hidden": 3.383203125, "loss/jsd": 0.0, "loss/logits": 0.17982141822576522, "step": 15820 }, { "epoch": 0.39575, "grad_norm": 30.375, "grad_norm_var": 86.18795572916666, "learning_rate": 0.0001, "loss": 7.2905, "loss/crossentropy": 2.2129892081022264, "loss/hidden": 3.3265625, "loss/jsd": 0.0, "loss/logits": 0.19481155294924973, "step": 15830 }, { "epoch": 0.396, "grad_norm": 31.75, "grad_norm_var": 4.287434895833333, "learning_rate": 0.0001, "loss": 7.1819, "loss/crossentropy": 1.9988259918987752, "loss/hidden": 3.203515625, "loss/jsd": 0.0, "loss/logits": 0.16147571448236703, "step": 15840 }, { "epoch": 0.39625, "grad_norm": 28.875, "grad_norm_var": 4.6009765625, "learning_rate": 0.0001, "loss": 7.359, "loss/crossentropy": 2.1142133861780166, "loss/hidden": 3.320703125, "loss/jsd": 0.0, "loss/logits": 0.18781689032912255, "step": 15850 }, { "epoch": 0.3965, "grad_norm": 32.0, "grad_norm_var": 3.5452473958333335, "learning_rate": 0.0001, "loss": 7.327, "loss/crossentropy": 2.0223607540130617, "loss/hidden": 3.265234375, "loss/jsd": 0.0, "loss/logits": 0.19158173706382514, "step": 15860 }, { "epoch": 0.39675, "grad_norm": 28.625, "grad_norm_var": 1.7729166666666667, "learning_rate": 0.0001, "loss": 7.3644, "loss/crossentropy": 2.170432631671429, "loss/hidden": 3.266015625, "loss/jsd": 0.0, "loss/logits": 0.18453630786389114, "step": 15870 }, { "epoch": 0.397, "grad_norm": 32.0, "grad_norm_var": 3.5559895833333335, "learning_rate": 0.0001, "loss": 7.3114, "loss/crossentropy": 1.9615431509912014, "loss/hidden": 3.39609375, "loss/jsd": 0.0, "loss/logits": 0.18825806053355337, "step": 15880 }, { "epoch": 0.39725, "grad_norm": 37.25, "grad_norm_var": 71.86555989583333, "learning_rate": 0.0001, "loss": 7.3443, "loss/crossentropy": 2.0923714101314546, "loss/hidden": 3.384375, "loss/jsd": 0.0, "loss/logits": 0.18501388970762492, "step": 15890 }, { "epoch": 0.3975, "grad_norm": 29.25, "grad_norm_var": 75.43307291666666, "learning_rate": 0.0001, "loss": 7.2744, "loss/crossentropy": 2.0929214730858803, "loss/hidden": 3.30390625, "loss/jsd": 0.0, "loss/logits": 0.17970609571784735, "step": 15900 }, { "epoch": 0.39775, "grad_norm": 31.375, "grad_norm_var": 4.829622395833334, "learning_rate": 0.0001, "loss": 7.2885, "loss/crossentropy": 1.9244549985975028, "loss/hidden": 3.2625, "loss/jsd": 0.0, "loss/logits": 0.16870631305500866, "step": 15910 }, { "epoch": 0.398, "grad_norm": 30.5, "grad_norm_var": 2.684309895833333, "learning_rate": 0.0001, "loss": 7.2604, "loss/crossentropy": 2.024969767779112, "loss/hidden": 3.30625, "loss/jsd": 0.0, "loss/logits": 0.17861165013164282, "step": 15920 }, { "epoch": 0.39825, "grad_norm": 36.5, "grad_norm_var": 13.322330729166667, "learning_rate": 0.0001, "loss": 7.2294, "loss/crossentropy": 1.9006286635994911, "loss/hidden": 3.35703125, "loss/jsd": 0.0, "loss/logits": 0.1897978626191616, "step": 15930 }, { "epoch": 0.3985, "grad_norm": 41.25, "grad_norm_var": 19.4478515625, "learning_rate": 0.0001, "loss": 7.3494, "loss/crossentropy": 2.1528166741132737, "loss/hidden": 3.35546875, "loss/jsd": 0.0, "loss/logits": 0.20025787688791752, "step": 15940 }, { "epoch": 0.39875, "grad_norm": 30.125, "grad_norm_var": 12.692122395833334, "learning_rate": 0.0001, "loss": 7.2807, "loss/crossentropy": 2.159406080842018, "loss/hidden": 3.341015625, "loss/jsd": 0.0, "loss/logits": 0.19357968419790267, "step": 15950 }, { "epoch": 0.399, "grad_norm": 28.375, "grad_norm_var": 9.457291666666666, "learning_rate": 0.0001, "loss": 7.0891, "loss/crossentropy": 2.0662672072649, "loss/hidden": 3.35625, "loss/jsd": 0.0, "loss/logits": 0.1739374803379178, "step": 15960 }, { "epoch": 0.39925, "grad_norm": 33.25, "grad_norm_var": 17.795833333333334, "learning_rate": 0.0001, "loss": 7.3368, "loss/crossentropy": 2.2619366616010668, "loss/hidden": 3.3203125, "loss/jsd": 0.0, "loss/logits": 0.19278527814894914, "step": 15970 }, { "epoch": 0.3995, "grad_norm": 33.5, "grad_norm_var": 32.524739583333336, "learning_rate": 0.0001, "loss": 7.2702, "loss/crossentropy": 1.9777626052498818, "loss/hidden": 3.27109375, "loss/jsd": 0.0, "loss/logits": 0.1701345544308424, "step": 15980 }, { "epoch": 0.39975, "grad_norm": 31.0, "grad_norm_var": 27.562955729166667, "learning_rate": 0.0001, "loss": 7.2636, "loss/crossentropy": 1.984829319268465, "loss/hidden": 3.278125, "loss/jsd": 0.0, "loss/logits": 0.1783665182068944, "step": 15990 }, { "epoch": 0.4, "grad_norm": 30.25, "grad_norm_var": 7.468489583333334, "learning_rate": 0.0001, "loss": 7.3522, "loss/crossentropy": 2.027949205040932, "loss/hidden": 3.41328125, "loss/jsd": 0.0, "loss/logits": 0.20451073683798313, "step": 16000 }, { "epoch": 0.40025, "grad_norm": 30.75, "grad_norm_var": 3.1311848958333335, "learning_rate": 0.0001, "loss": 7.3003, "loss/crossentropy": 2.0037057876586912, "loss/hidden": 3.309375, "loss/jsd": 0.0, "loss/logits": 0.1825689303688705, "step": 16010 }, { "epoch": 0.4005, "grad_norm": 28.625, "grad_norm_var": 4.043684895833334, "learning_rate": 0.0001, "loss": 7.3601, "loss/crossentropy": 2.20539278537035, "loss/hidden": 3.33828125, "loss/jsd": 0.0, "loss/logits": 0.19239765033125877, "step": 16020 }, { "epoch": 0.40075, "grad_norm": 32.75, "grad_norm_var": 3.1626528094295864e+18, "learning_rate": 0.0001, "loss": 7.2581, "loss/crossentropy": 1.9106431234627963, "loss/hidden": 3.466796875, "loss/jsd": 0.0, "loss/logits": 0.15896897157654166, "step": 16030 }, { "epoch": 0.401, "grad_norm": 31.125, "grad_norm_var": 9.828125, "learning_rate": 0.0001, "loss": 7.2905, "loss/crossentropy": 1.9915092147886753, "loss/hidden": 3.382421875, "loss/jsd": 0.0, "loss/logits": 0.1976497994735837, "step": 16040 }, { "epoch": 0.40125, "grad_norm": 31.0, "grad_norm_var": 1.596875, "learning_rate": 0.0001, "loss": 7.2439, "loss/crossentropy": 2.0657053992152212, "loss/hidden": 3.266015625, "loss/jsd": 0.0, "loss/logits": 0.17077930886298417, "step": 16050 }, { "epoch": 0.4015, "grad_norm": 28.625, "grad_norm_var": 7.05390625, "learning_rate": 0.0001, "loss": 7.2314, "loss/crossentropy": 1.9348336219787599, "loss/hidden": 3.45390625, "loss/jsd": 0.0, "loss/logits": 0.18747655171900987, "step": 16060 }, { "epoch": 0.40175, "grad_norm": 33.0, "grad_norm_var": 10.48515625, "learning_rate": 0.0001, "loss": 7.406, "loss/crossentropy": 2.0627846613526346, "loss/hidden": 3.4453125, "loss/jsd": 0.0, "loss/logits": 0.20208690427243708, "step": 16070 }, { "epoch": 0.402, "grad_norm": 33.25, "grad_norm_var": 16.162434895833332, "learning_rate": 0.0001, "loss": 7.3501, "loss/crossentropy": 1.984161777049303, "loss/hidden": 3.454296875, "loss/jsd": 0.0, "loss/logits": 0.1927208350971341, "step": 16080 }, { "epoch": 0.40225, "grad_norm": 32.25, "grad_norm_var": 17.923958333333335, "learning_rate": 0.0001, "loss": 7.3793, "loss/crossentropy": 2.074259965121746, "loss/hidden": 3.381640625, "loss/jsd": 0.0, "loss/logits": 0.18814291208982467, "step": 16090 }, { "epoch": 0.4025, "grad_norm": 32.25, "grad_norm_var": 3.3827473958333334, "learning_rate": 0.0001, "loss": 7.3529, "loss/crossentropy": 2.1366620868444444, "loss/hidden": 3.35, "loss/jsd": 0.0, "loss/logits": 0.1963860308751464, "step": 16100 }, { "epoch": 0.40275, "grad_norm": 31.25, "grad_norm_var": 2.5254557291666666, "learning_rate": 0.0001, "loss": 7.2352, "loss/crossentropy": 1.9054784037172794, "loss/hidden": 3.382421875, "loss/jsd": 0.0, "loss/logits": 0.18159330673515797, "step": 16110 }, { "epoch": 0.403, "grad_norm": 32.5, "grad_norm_var": 29.687434895833334, "learning_rate": 0.0001, "loss": 7.4832, "loss/crossentropy": 2.10203175842762, "loss/hidden": 3.530859375, "loss/jsd": 0.0, "loss/logits": 0.21614400669932365, "step": 16120 }, { "epoch": 0.40325, "grad_norm": 31.25, "grad_norm_var": 29.977018229166667, "learning_rate": 0.0001, "loss": 7.1964, "loss/crossentropy": 2.079006028920412, "loss/hidden": 3.35078125, "loss/jsd": 0.0, "loss/logits": 0.1874436529353261, "step": 16130 }, { "epoch": 0.4035, "grad_norm": 29.25, "grad_norm_var": 3.064583333333333, "learning_rate": 0.0001, "loss": 7.2316, "loss/crossentropy": 2.0732211872935293, "loss/hidden": 3.396875, "loss/jsd": 0.0, "loss/logits": 0.1887400571256876, "step": 16140 }, { "epoch": 0.40375, "grad_norm": 31.875, "grad_norm_var": 6.433072916666666, "learning_rate": 0.0001, "loss": 7.2228, "loss/crossentropy": 1.862874235212803, "loss/hidden": 3.396484375, "loss/jsd": 0.0, "loss/logits": 0.17755231373012065, "step": 16150 }, { "epoch": 0.404, "grad_norm": 31.625, "grad_norm_var": 3.0809895833333334, "learning_rate": 0.0001, "loss": 7.307, "loss/crossentropy": 2.0635001718997956, "loss/hidden": 3.3296875, "loss/jsd": 0.0, "loss/logits": 0.17978991996496915, "step": 16160 }, { "epoch": 0.40425, "grad_norm": 30.375, "grad_norm_var": 13.473958333333334, "learning_rate": 0.0001, "loss": 7.2643, "loss/crossentropy": 1.9896802924573422, "loss/hidden": 3.23046875, "loss/jsd": 0.0, "loss/logits": 0.16587578747421503, "step": 16170 }, { "epoch": 0.4045, "grad_norm": 33.75, "grad_norm_var": 8.254622395833334, "learning_rate": 0.0001, "loss": 7.4306, "loss/crossentropy": 2.244751125574112, "loss/hidden": 3.3109375, "loss/jsd": 0.0, "loss/logits": 0.1836428429931402, "step": 16180 }, { "epoch": 0.40475, "grad_norm": 31.875, "grad_norm_var": 2.434477048521451e+18, "learning_rate": 0.0001, "loss": 7.318, "loss/crossentropy": 1.8701960302889347, "loss/hidden": 3.36875, "loss/jsd": 0.0, "loss/logits": 0.18736766083166004, "step": 16190 }, { "epoch": 0.405, "grad_norm": 28.5, "grad_norm_var": 2.434477048703484e+18, "learning_rate": 0.0001, "loss": 7.3965, "loss/crossentropy": 2.3353544265031814, "loss/hidden": 3.465625, "loss/jsd": 0.0, "loss/logits": 0.20016160774976016, "step": 16200 }, { "epoch": 0.40525, "grad_norm": 28.375, "grad_norm_var": 6.144205729166667, "learning_rate": 0.0001, "loss": 7.2603, "loss/crossentropy": 2.022757910192013, "loss/hidden": 3.4578125, "loss/jsd": 0.0, "loss/logits": 0.1913651939481497, "step": 16210 }, { "epoch": 0.4055, "grad_norm": 30.75, "grad_norm_var": 2.872916666666667, "learning_rate": 0.0001, "loss": 7.2299, "loss/crossentropy": 2.0279084965586662, "loss/hidden": 3.439453125, "loss/jsd": 0.0, "loss/logits": 0.1943587277084589, "step": 16220 }, { "epoch": 0.40575, "grad_norm": 30.875, "grad_norm_var": 3.814322916666667, "learning_rate": 0.0001, "loss": 7.3063, "loss/crossentropy": 1.9705725610256195, "loss/hidden": 3.39765625, "loss/jsd": 0.0, "loss/logits": 0.18895087838172914, "step": 16230 }, { "epoch": 0.406, "grad_norm": 30.5, "grad_norm_var": 4.430208333333334, "learning_rate": 0.0001, "loss": 7.3762, "loss/crossentropy": 2.0867358654737473, "loss/hidden": 3.358984375, "loss/jsd": 0.0, "loss/logits": 0.19180330783128738, "step": 16240 }, { "epoch": 0.40625, "grad_norm": 29.875, "grad_norm_var": 3.9479166666666665, "learning_rate": 0.0001, "loss": 7.3468, "loss/crossentropy": 1.9416721653193236, "loss/hidden": 3.376171875, "loss/jsd": 0.0, "loss/logits": 0.18548533669672906, "step": 16250 }, { "epoch": 0.4065, "grad_norm": 29.75, "grad_norm_var": 2.3525390625, "learning_rate": 0.0001, "loss": 7.1515, "loss/crossentropy": 1.8505723856389522, "loss/hidden": 3.32265625, "loss/jsd": 0.0, "loss/logits": 0.1714062148705125, "step": 16260 }, { "epoch": 0.40675, "grad_norm": 32.5, "grad_norm_var": 1.9811848958333333, "learning_rate": 0.0001, "loss": 7.408, "loss/crossentropy": 2.1564977198839186, "loss/hidden": 3.3796875, "loss/jsd": 0.0, "loss/logits": 0.1916896834038198, "step": 16270 }, { "epoch": 0.407, "grad_norm": 28.875, "grad_norm_var": 24.1884765625, "learning_rate": 0.0001, "loss": 7.2915, "loss/crossentropy": 2.106581533700228, "loss/hidden": 3.444921875, "loss/jsd": 0.0, "loss/logits": 0.20620792759582401, "step": 16280 }, { "epoch": 0.40725, "grad_norm": 32.5, "grad_norm_var": 28.264322916666668, "learning_rate": 0.0001, "loss": 7.2376, "loss/crossentropy": 1.9940311327576636, "loss/hidden": 3.319140625, "loss/jsd": 0.0, "loss/logits": 0.18459046920761465, "step": 16290 }, { "epoch": 0.4075, "grad_norm": 32.0, "grad_norm_var": 2.088997395833333, "learning_rate": 0.0001, "loss": 7.2199, "loss/crossentropy": 1.866896914690733, "loss/hidden": 3.371875, "loss/jsd": 0.0, "loss/logits": 0.17536403173580767, "step": 16300 }, { "epoch": 0.40775, "grad_norm": 32.25, "grad_norm_var": 2.9114583333333335, "learning_rate": 0.0001, "loss": 7.3328, "loss/crossentropy": 2.12556598931551, "loss/hidden": 3.37734375, "loss/jsd": 0.0, "loss/logits": 0.1877920225262642, "step": 16310 }, { "epoch": 0.408, "grad_norm": 31.375, "grad_norm_var": 2.1035807291666666, "learning_rate": 0.0001, "loss": 7.3096, "loss/crossentropy": 1.9810500107705593, "loss/hidden": 3.475390625, "loss/jsd": 0.0, "loss/logits": 0.18928063567727804, "step": 16320 }, { "epoch": 0.40825, "grad_norm": 29.25, "grad_norm_var": 3.1254557291666667, "learning_rate": 0.0001, "loss": 7.5025, "loss/crossentropy": 2.2035975247621535, "loss/hidden": 3.421875, "loss/jsd": 0.0, "loss/logits": 0.199692689999938, "step": 16330 }, { "epoch": 0.4085, "grad_norm": 29.5, "grad_norm_var": 3.981184895833333, "learning_rate": 0.0001, "loss": 7.2389, "loss/crossentropy": 2.0442154854536057, "loss/hidden": 3.263671875, "loss/jsd": 0.0, "loss/logits": 0.17368101943284273, "step": 16340 }, { "epoch": 0.40875, "grad_norm": 30.25, "grad_norm_var": 1.8572265625, "learning_rate": 0.0001, "loss": 7.3269, "loss/crossentropy": 2.0223391756415365, "loss/hidden": 3.396875, "loss/jsd": 0.0, "loss/logits": 0.19969959184527397, "step": 16350 }, { "epoch": 0.409, "grad_norm": 31.625, "grad_norm_var": 15.11640625, "learning_rate": 0.0001, "loss": 7.3063, "loss/crossentropy": 1.8919450908899307, "loss/hidden": 3.34921875, "loss/jsd": 0.0, "loss/logits": 0.16754893381148578, "step": 16360 }, { "epoch": 0.40925, "grad_norm": 32.25, "grad_norm_var": 10.230989583333333, "learning_rate": 0.0001, "loss": 7.2766, "loss/crossentropy": 2.0608230382204056, "loss/hidden": 3.45859375, "loss/jsd": 0.0, "loss/logits": 0.19851373862475158, "step": 16370 }, { "epoch": 0.4095, "grad_norm": 30.375, "grad_norm_var": 11.682747395833333, "learning_rate": 0.0001, "loss": 7.2895, "loss/crossentropy": 2.0847655333578587, "loss/hidden": 3.3234375, "loss/jsd": 0.0, "loss/logits": 0.186351899523288, "step": 16380 }, { "epoch": 0.40975, "grad_norm": 37.75, "grad_norm_var": 14.268684895833333, "learning_rate": 0.0001, "loss": 7.2556, "loss/crossentropy": 2.010029584169388, "loss/hidden": 3.302734375, "loss/jsd": 0.0, "loss/logits": 0.17632390139624476, "step": 16390 }, { "epoch": 0.41, "grad_norm": 29.5, "grad_norm_var": 6.380208333333333, "learning_rate": 0.0001, "loss": 7.2839, "loss/crossentropy": 2.061359938979149, "loss/hidden": 3.3390625, "loss/jsd": 0.0, "loss/logits": 0.18306618463248014, "step": 16400 }, { "epoch": 0.41025, "grad_norm": 30.75, "grad_norm_var": 3.081184895833333, "learning_rate": 0.0001, "loss": 7.1644, "loss/crossentropy": 2.210022081434727, "loss/hidden": 3.35859375, "loss/jsd": 0.0, "loss/logits": 0.20350072477012873, "step": 16410 }, { "epoch": 0.4105, "grad_norm": 30.125, "grad_norm_var": 6.44140625, "learning_rate": 0.0001, "loss": 7.3499, "loss/crossentropy": 2.2339374631643296, "loss/hidden": 3.373046875, "loss/jsd": 0.0, "loss/logits": 0.19218460842967033, "step": 16420 }, { "epoch": 0.41075, "grad_norm": 34.5, "grad_norm_var": 7.73515625, "learning_rate": 0.0001, "loss": 7.3014, "loss/crossentropy": 2.259621387720108, "loss/hidden": 3.4234375, "loss/jsd": 0.0, "loss/logits": 0.19978805705904962, "step": 16430 }, { "epoch": 0.411, "grad_norm": 30.875, "grad_norm_var": 4.659309895833333, "learning_rate": 0.0001, "loss": 7.29, "loss/crossentropy": 1.9416244141757488, "loss/hidden": 3.282421875, "loss/jsd": 0.0, "loss/logits": 0.16338116079568862, "step": 16440 }, { "epoch": 0.41125, "grad_norm": 30.625, "grad_norm_var": 1.3218098958333333, "learning_rate": 0.0001, "loss": 7.2935, "loss/crossentropy": 2.0271296739578246, "loss/hidden": 3.449609375, "loss/jsd": 0.0, "loss/logits": 0.19065151941031216, "step": 16450 }, { "epoch": 0.4115, "grad_norm": 30.25, "grad_norm_var": 38.69973958333333, "learning_rate": 0.0001, "loss": 7.2814, "loss/crossentropy": 1.9666823461651801, "loss/hidden": 3.366015625, "loss/jsd": 0.0, "loss/logits": 0.17561122979968785, "step": 16460 }, { "epoch": 0.41175, "grad_norm": 39.75, "grad_norm_var": 39.458333333333336, "learning_rate": 0.0001, "loss": 7.3983, "loss/crossentropy": 2.104595158994198, "loss/hidden": 3.347265625, "loss/jsd": 0.0, "loss/logits": 0.18662185575813056, "step": 16470 }, { "epoch": 0.412, "grad_norm": 29.25, "grad_norm_var": 7.270768229166666, "learning_rate": 0.0001, "loss": 7.2818, "loss/crossentropy": 2.118724799156189, "loss/hidden": 3.308984375, "loss/jsd": 0.0, "loss/logits": 0.18437495529651643, "step": 16480 }, { "epoch": 0.41225, "grad_norm": 29.0, "grad_norm_var": 1.1733723958333333, "learning_rate": 0.0001, "loss": 7.3057, "loss/crossentropy": 1.988658072054386, "loss/hidden": 3.354296875, "loss/jsd": 0.0, "loss/logits": 0.188140376098454, "step": 16490 }, { "epoch": 0.4125, "grad_norm": 45.0, "grad_norm_var": 3.7225065361444265e+18, "learning_rate": 0.0001, "loss": 7.3181, "loss/crossentropy": 1.9564834155142308, "loss/hidden": 3.43828125, "loss/jsd": 0.0, "loss/logits": 0.1983109924942255, "step": 16500 }, { "epoch": 0.41275, "grad_norm": 32.25, "grad_norm_var": 3.7225065349305247e+18, "learning_rate": 0.0001, "loss": 7.4573, "loss/crossentropy": 2.13476774841547, "loss/hidden": 3.314453125, "loss/jsd": 0.0, "loss/logits": 0.1941231820732355, "step": 16510 }, { "epoch": 0.413, "grad_norm": 34.5, "grad_norm_var": 20.303059895833332, "learning_rate": 0.0001, "loss": 7.3816, "loss/crossentropy": 1.9623971730470657, "loss/hidden": 3.3828125, "loss/jsd": 0.0, "loss/logits": 0.186094144359231, "step": 16520 }, { "epoch": 0.41325, "grad_norm": 30.25, "grad_norm_var": 6.732747395833333, "learning_rate": 0.0001, "loss": 7.3583, "loss/crossentropy": 2.065499635785818, "loss/hidden": 3.301171875, "loss/jsd": 0.0, "loss/logits": 0.17725836476311088, "step": 16530 }, { "epoch": 0.4135, "grad_norm": 31.75, "grad_norm_var": 19.949739583333333, "learning_rate": 0.0001, "loss": 7.3656, "loss/crossentropy": 2.1521792262792587, "loss/hidden": 3.496875, "loss/jsd": 0.0, "loss/logits": 0.2034964457154274, "step": 16540 }, { "epoch": 0.41375, "grad_norm": 29.0, "grad_norm_var": 34.993489583333336, "learning_rate": 0.0001, "loss": 7.2803, "loss/crossentropy": 1.9985820479691028, "loss/hidden": 3.36640625, "loss/jsd": 0.0, "loss/logits": 0.1789230139926076, "step": 16550 }, { "epoch": 0.414, "grad_norm": 30.75, "grad_norm_var": 17.627018229166666, "learning_rate": 0.0001, "loss": 7.2555, "loss/crossentropy": 2.094392439723015, "loss/hidden": 3.303125, "loss/jsd": 0.0, "loss/logits": 0.18661210238933562, "step": 16560 }, { "epoch": 0.41425, "grad_norm": 29.75, "grad_norm_var": 12.305208333333333, "learning_rate": 0.0001, "loss": 7.1799, "loss/crossentropy": 2.051650533825159, "loss/hidden": 3.235546875, "loss/jsd": 0.0, "loss/logits": 0.1674873584881425, "step": 16570 }, { "epoch": 0.4145, "grad_norm": 29.75, "grad_norm_var": 1.2372395833333334, "learning_rate": 0.0001, "loss": 7.271, "loss/crossentropy": 2.0924292795360087, "loss/hidden": 3.388671875, "loss/jsd": 0.0, "loss/logits": 0.18475022464990615, "step": 16580 }, { "epoch": 0.41475, "grad_norm": 29.0, "grad_norm_var": 10.5650390625, "learning_rate": 0.0001, "loss": 7.2485, "loss/crossentropy": 2.0977213352918627, "loss/hidden": 3.4390625, "loss/jsd": 0.0, "loss/logits": 0.19010566975921392, "step": 16590 }, { "epoch": 0.415, "grad_norm": 34.0, "grad_norm_var": 20.742122395833334, "learning_rate": 0.0001, "loss": 7.4038, "loss/crossentropy": 2.0668084505945443, "loss/hidden": 3.35078125, "loss/jsd": 0.0, "loss/logits": 0.1815639895386994, "step": 16600 }, { "epoch": 0.41525, "grad_norm": 28.875, "grad_norm_var": 10.555208333333333, "learning_rate": 0.0001, "loss": 7.1948, "loss/crossentropy": 1.973907208442688, "loss/hidden": 3.30078125, "loss/jsd": 0.0, "loss/logits": 0.17607561368495225, "step": 16610 }, { "epoch": 0.4155, "grad_norm": 39.75, "grad_norm_var": 12.46640625, "learning_rate": 0.0001, "loss": 7.2484, "loss/crossentropy": 2.0116613686084746, "loss/hidden": 3.344921875, "loss/jsd": 0.0, "loss/logits": 0.17850100696086885, "step": 16620 }, { "epoch": 0.41575, "grad_norm": 28.5, "grad_norm_var": 13.439322916666667, "learning_rate": 0.0001, "loss": 7.2806, "loss/crossentropy": 2.14372631162405, "loss/hidden": 3.3890625, "loss/jsd": 0.0, "loss/logits": 0.1865269223228097, "step": 16630 }, { "epoch": 0.416, "grad_norm": 30.875, "grad_norm_var": 41.07604166666667, "learning_rate": 0.0001, "loss": 7.3744, "loss/crossentropy": 2.0837054416537284, "loss/hidden": 3.33671875, "loss/jsd": 0.0, "loss/logits": 0.17686022398993373, "step": 16640 }, { "epoch": 0.41625, "grad_norm": 33.0, "grad_norm_var": 4.229622395833333, "learning_rate": 0.0001, "loss": 7.2909, "loss/crossentropy": 1.874044494330883, "loss/hidden": 3.378515625, "loss/jsd": 0.0, "loss/logits": 0.1757553458213806, "step": 16650 }, { "epoch": 0.4165, "grad_norm": 33.5, "grad_norm_var": 2.6275390625, "learning_rate": 0.0001, "loss": 7.1618, "loss/crossentropy": 2.0809514716267588, "loss/hidden": 3.323828125, "loss/jsd": 0.0, "loss/logits": 0.18690248318016528, "step": 16660 }, { "epoch": 0.41675, "grad_norm": 30.25, "grad_norm_var": 1.6587890625, "learning_rate": 0.0001, "loss": 7.5271, "loss/crossentropy": 2.1389145731925963, "loss/hidden": 3.408203125, "loss/jsd": 0.0, "loss/logits": 0.19053335022181273, "step": 16670 }, { "epoch": 0.417, "grad_norm": 31.125, "grad_norm_var": 1.4676432291666666, "learning_rate": 0.0001, "loss": 7.2686, "loss/crossentropy": 1.9298078820109368, "loss/hidden": 3.4265625, "loss/jsd": 0.0, "loss/logits": 0.1739122910425067, "step": 16680 }, { "epoch": 0.41725, "grad_norm": 29.0, "grad_norm_var": 1.7457682291666667, "learning_rate": 0.0001, "loss": 7.2261, "loss/crossentropy": 1.8423747673630715, "loss/hidden": 3.376953125, "loss/jsd": 0.0, "loss/logits": 0.1881049584597349, "step": 16690 }, { "epoch": 0.4175, "grad_norm": 29.25, "grad_norm_var": 2.6733723958333333, "learning_rate": 0.0001, "loss": 7.3344, "loss/crossentropy": 2.116480963677168, "loss/hidden": 3.32734375, "loss/jsd": 0.0, "loss/logits": 0.20197081826627256, "step": 16700 }, { "epoch": 0.41775, "grad_norm": 31.875, "grad_norm_var": 1.7705729166666666, "learning_rate": 0.0001, "loss": 7.3253, "loss/crossentropy": 2.0403254240751267, "loss/hidden": 3.390234375, "loss/jsd": 0.0, "loss/logits": 0.17736360374838114, "step": 16710 }, { "epoch": 0.418, "grad_norm": 30.875, "grad_norm_var": 3.7622395833333333, "learning_rate": 0.0001, "loss": 7.37, "loss/crossentropy": 2.1124753206968307, "loss/hidden": 3.284765625, "loss/jsd": 0.0, "loss/logits": 0.17344876211136578, "step": 16720 }, { "epoch": 0.41825, "grad_norm": 30.25, "grad_norm_var": 4.176497395833334, "learning_rate": 0.0001, "loss": 7.4396, "loss/crossentropy": 2.163897532224655, "loss/hidden": 3.484375, "loss/jsd": 0.0, "loss/logits": 0.20297291725873948, "step": 16730 }, { "epoch": 0.4185, "grad_norm": 27.75, "grad_norm_var": 6.505989583333333, "learning_rate": 0.0001, "loss": 7.1872, "loss/crossentropy": 2.2656417414546013, "loss/hidden": 3.297265625, "loss/jsd": 0.0, "loss/logits": 0.18971311207860708, "step": 16740 }, { "epoch": 0.41875, "grad_norm": 29.25, "grad_norm_var": 5.057291666666667, "learning_rate": 0.0001, "loss": 7.3375, "loss/crossentropy": 2.0005149811506273, "loss/hidden": 3.365234375, "loss/jsd": 0.0, "loss/logits": 0.1829688923433423, "step": 16750 }, { "epoch": 0.419, "grad_norm": 28.875, "grad_norm_var": 2.914322916666667, "learning_rate": 0.0001, "loss": 7.2354, "loss/crossentropy": 2.1137810915708544, "loss/hidden": 3.371875, "loss/jsd": 0.0, "loss/logits": 0.19180109687149524, "step": 16760 }, { "epoch": 0.41925, "grad_norm": 34.25, "grad_norm_var": 3.4905598958333335, "learning_rate": 0.0001, "loss": 7.2489, "loss/crossentropy": 2.1259815394878387, "loss/hidden": 3.334765625, "loss/jsd": 0.0, "loss/logits": 0.18057906962931156, "step": 16770 }, { "epoch": 0.4195, "grad_norm": 32.25, "grad_norm_var": 2.396875, "learning_rate": 0.0001, "loss": 7.2524, "loss/crossentropy": 1.9959501296281814, "loss/hidden": 3.390625, "loss/jsd": 0.0, "loss/logits": 0.18154409490525722, "step": 16780 }, { "epoch": 0.41975, "grad_norm": 32.25, "grad_norm_var": 3.814322916666667, "learning_rate": 0.0001, "loss": 7.1953, "loss/crossentropy": 2.0803288385272025, "loss/hidden": 3.296875, "loss/jsd": 0.0, "loss/logits": 0.17842694241553544, "step": 16790 }, { "epoch": 0.42, "grad_norm": 34.0, "grad_norm_var": 4.6087890625, "learning_rate": 0.0001, "loss": 7.3088, "loss/crossentropy": 2.1200789496302606, "loss/hidden": 3.381640625, "loss/jsd": 0.0, "loss/logits": 0.18628805093467235, "step": 16800 }, { "epoch": 0.42025, "grad_norm": 29.875, "grad_norm_var": 2.8666666666666667, "learning_rate": 0.0001, "loss": 7.3824, "loss/crossentropy": 2.1946793287992477, "loss/hidden": 3.415234375, "loss/jsd": 0.0, "loss/logits": 0.18889498952776193, "step": 16810 }, { "epoch": 0.4205, "grad_norm": 28.875, "grad_norm_var": 2.343489583333333, "learning_rate": 0.0001, "loss": 7.2866, "loss/crossentropy": 2.147686219215393, "loss/hidden": 3.257421875, "loss/jsd": 0.0, "loss/logits": 0.17540164943784475, "step": 16820 }, { "epoch": 0.42075, "grad_norm": 28.5, "grad_norm_var": 2.631705729166667, "learning_rate": 0.0001, "loss": 7.3552, "loss/crossentropy": 2.2283954128623007, "loss/hidden": 3.301953125, "loss/jsd": 0.0, "loss/logits": 0.1934325246140361, "step": 16830 }, { "epoch": 0.421, "grad_norm": 28.75, "grad_norm_var": 1.9114583333333333, "learning_rate": 0.0001, "loss": 7.285, "loss/crossentropy": 2.0364210322499274, "loss/hidden": 3.351171875, "loss/jsd": 0.0, "loss/logits": 0.18664334248751402, "step": 16840 }, { "epoch": 0.42125, "grad_norm": 31.0, "grad_norm_var": 1.8322916666666667, "learning_rate": 0.0001, "loss": 7.3212, "loss/crossentropy": 2.166780227422714, "loss/hidden": 3.41875, "loss/jsd": 0.0, "loss/logits": 0.18862007781863213, "step": 16850 }, { "epoch": 0.4215, "grad_norm": 28.375, "grad_norm_var": 1.6910807291666667, "learning_rate": 0.0001, "loss": 7.2594, "loss/crossentropy": 1.9404787957668304, "loss/hidden": 3.332421875, "loss/jsd": 0.0, "loss/logits": 0.1732590550556779, "step": 16860 }, { "epoch": 0.42175, "grad_norm": 31.875, "grad_norm_var": 1.4895182291666667, "learning_rate": 0.0001, "loss": 7.2446, "loss/crossentropy": 2.146845671534538, "loss/hidden": 3.340625, "loss/jsd": 0.0, "loss/logits": 0.19646301120519638, "step": 16870 }, { "epoch": 0.422, "grad_norm": 32.75, "grad_norm_var": 3.0452473958333335, "learning_rate": 0.0001, "loss": 7.3155, "loss/crossentropy": 2.0759237363934515, "loss/hidden": 3.414453125, "loss/jsd": 0.0, "loss/logits": 0.2006880532950163, "step": 16880 }, { "epoch": 0.42225, "grad_norm": 33.75, "grad_norm_var": 2.7358723958333333, "learning_rate": 0.0001, "loss": 7.2928, "loss/crossentropy": 2.1153281182050705, "loss/hidden": 3.35546875, "loss/jsd": 0.0, "loss/logits": 0.1919462438672781, "step": 16890 }, { "epoch": 0.4225, "grad_norm": 34.0, "grad_norm_var": 3.1927083333333335, "learning_rate": 0.0001, "loss": 7.3425, "loss/crossentropy": 2.128311688452959, "loss/hidden": 3.31328125, "loss/jsd": 0.0, "loss/logits": 0.1898970402777195, "step": 16900 }, { "epoch": 0.42275, "grad_norm": 31.5, "grad_norm_var": 2.2884765625, "learning_rate": 0.0001, "loss": 7.3652, "loss/crossentropy": 2.14291021078825, "loss/hidden": 3.300390625, "loss/jsd": 0.0, "loss/logits": 0.1799526395276189, "step": 16910 }, { "epoch": 0.423, "grad_norm": 35.75, "grad_norm_var": 2.9853515625, "learning_rate": 0.0001, "loss": 7.374, "loss/crossentropy": 2.172788438200951, "loss/hidden": 3.335546875, "loss/jsd": 0.0, "loss/logits": 0.19616848770529033, "step": 16920 }, { "epoch": 0.42325, "grad_norm": 32.5, "grad_norm_var": 3.1434895833333334, "learning_rate": 0.0001, "loss": 7.256, "loss/crossentropy": 1.9609168127179146, "loss/hidden": 3.419921875, "loss/jsd": 0.0, "loss/logits": 0.19055727850645782, "step": 16930 }, { "epoch": 0.4235, "grad_norm": 31.5, "grad_norm_var": 1.7197265625, "learning_rate": 0.0001, "loss": 7.337, "loss/crossentropy": 2.3514596074819565, "loss/hidden": 3.26875, "loss/jsd": 0.0, "loss/logits": 0.18605006970465182, "step": 16940 }, { "epoch": 0.42375, "grad_norm": 32.0, "grad_norm_var": 2.0171223958333333, "learning_rate": 0.0001, "loss": 7.3496, "loss/crossentropy": 2.125219741463661, "loss/hidden": 3.36015625, "loss/jsd": 0.0, "loss/logits": 0.19694697633385658, "step": 16950 }, { "epoch": 0.424, "grad_norm": 30.875, "grad_norm_var": 2.827018229166667, "learning_rate": 0.0001, "loss": 7.2494, "loss/crossentropy": 2.1004397854208947, "loss/hidden": 3.37421875, "loss/jsd": 0.0, "loss/logits": 0.19005921352654695, "step": 16960 }, { "epoch": 0.42425, "grad_norm": 31.625, "grad_norm_var": 2.16875, "learning_rate": 0.0001, "loss": 7.3353, "loss/crossentropy": 2.2350980192422867, "loss/hidden": 3.389453125, "loss/jsd": 0.0, "loss/logits": 0.20827819555997848, "step": 16970 }, { "epoch": 0.4245, "grad_norm": 31.125, "grad_norm_var": 1.7139973958333334, "learning_rate": 0.0001, "loss": 7.2948, "loss/crossentropy": 2.057795172929764, "loss/hidden": 3.41015625, "loss/jsd": 0.0, "loss/logits": 0.18584750667214395, "step": 16980 }, { "epoch": 0.42475, "grad_norm": 33.5, "grad_norm_var": 9.813541666666667, "learning_rate": 0.0001, "loss": 7.2737, "loss/crossentropy": 1.9335192561149597, "loss/hidden": 3.38984375, "loss/jsd": 0.0, "loss/logits": 0.17950817625969648, "step": 16990 }, { "epoch": 0.425, "grad_norm": 30.625, "grad_norm_var": 8.45, "learning_rate": 0.0001, "loss": 7.2137, "loss/crossentropy": 2.158860814571381, "loss/hidden": 3.344921875, "loss/jsd": 0.0, "loss/logits": 0.19252809565514326, "step": 17000 }, { "epoch": 0.42525, "grad_norm": 34.75, "grad_norm_var": 3.940559895833333, "learning_rate": 0.0001, "loss": 7.3198, "loss/crossentropy": 1.9835775896906853, "loss/hidden": 3.373828125, "loss/jsd": 0.0, "loss/logits": 0.18570326836779713, "step": 17010 }, { "epoch": 0.4255, "grad_norm": 30.625, "grad_norm_var": 13.29140625, "learning_rate": 0.0001, "loss": 7.4143, "loss/crossentropy": 1.9494660779833795, "loss/hidden": 3.373828125, "loss/jsd": 0.0, "loss/logits": 0.2034120644442737, "step": 17020 }, { "epoch": 0.42575, "grad_norm": 33.25, "grad_norm_var": 2.7135416666666665, "learning_rate": 0.0001, "loss": 7.2964, "loss/crossentropy": 2.1227547653019427, "loss/hidden": 3.33828125, "loss/jsd": 0.0, "loss/logits": 0.18930197739973664, "step": 17030 }, { "epoch": 0.426, "grad_norm": 31.0, "grad_norm_var": 2.07890625, "learning_rate": 0.0001, "loss": 7.2105, "loss/crossentropy": 1.9439098060131073, "loss/hidden": 3.3671875, "loss/jsd": 0.0, "loss/logits": 0.1776129573583603, "step": 17040 }, { "epoch": 0.42625, "grad_norm": 43.25, "grad_norm_var": 25.977018229166667, "learning_rate": 0.0001, "loss": 7.3636, "loss/crossentropy": 2.1215348944067953, "loss/hidden": 3.366015625, "loss/jsd": 0.0, "loss/logits": 0.19092475529760122, "step": 17050 }, { "epoch": 0.4265, "grad_norm": 32.75, "grad_norm_var": 15.020572916666667, "learning_rate": 0.0001, "loss": 7.3927, "loss/crossentropy": 2.0381774201989176, "loss/hidden": 3.33046875, "loss/jsd": 0.0, "loss/logits": 0.18921099193394184, "step": 17060 }, { "epoch": 0.42675, "grad_norm": 34.0, "grad_norm_var": 3.159309895833333, "learning_rate": 0.0001, "loss": 7.2753, "loss/crossentropy": 2.053529141843319, "loss/hidden": 3.2734375, "loss/jsd": 0.0, "loss/logits": 0.18555910978466272, "step": 17070 }, { "epoch": 0.427, "grad_norm": 28.875, "grad_norm_var": 10.44140625, "learning_rate": 0.0001, "loss": 7.3331, "loss/crossentropy": 2.0321754805743693, "loss/hidden": 3.325, "loss/jsd": 0.0, "loss/logits": 0.17106994595378638, "step": 17080 }, { "epoch": 0.42725, "grad_norm": 35.75, "grad_norm_var": 11.438541666666667, "learning_rate": 0.0001, "loss": 7.2905, "loss/crossentropy": 1.9504701748490334, "loss/hidden": 3.262890625, "loss/jsd": 0.0, "loss/logits": 0.17157490737736225, "step": 17090 }, { "epoch": 0.4275, "grad_norm": 30.375, "grad_norm_var": 3.651497395833333, "learning_rate": 0.0001, "loss": 7.4396, "loss/crossentropy": 2.1505665600299837, "loss/hidden": 3.490625, "loss/jsd": 0.0, "loss/logits": 0.20605666618794202, "step": 17100 }, { "epoch": 0.42775, "grad_norm": 29.875, "grad_norm_var": 1.6688651155212861e+18, "learning_rate": 0.0001, "loss": 7.3328, "loss/crossentropy": 2.0673328816890715, "loss/hidden": 3.362109375, "loss/jsd": 0.0, "loss/logits": 0.17912605479359628, "step": 17110 }, { "epoch": 0.428, "grad_norm": 31.0, "grad_norm_var": 1.7436848958333333, "learning_rate": 0.0001, "loss": 7.3111, "loss/crossentropy": 2.0934616670012476, "loss/hidden": 3.43203125, "loss/jsd": 0.0, "loss/logits": 0.19241752084344627, "step": 17120 }, { "epoch": 0.42825, "grad_norm": 30.375, "grad_norm_var": 2.4580729166666666, "learning_rate": 0.0001, "loss": 7.2911, "loss/crossentropy": 2.0029770001769065, "loss/hidden": 3.325390625, "loss/jsd": 0.0, "loss/logits": 0.1792398665100336, "step": 17130 }, { "epoch": 0.4285, "grad_norm": 31.375, "grad_norm_var": 3.4184895833333333, "learning_rate": 0.0001, "loss": 7.3235, "loss/crossentropy": 2.232249027490616, "loss/hidden": 3.354296875, "loss/jsd": 0.0, "loss/logits": 0.1950904905796051, "step": 17140 }, { "epoch": 0.42875, "grad_norm": 31.0, "grad_norm_var": 5.405143229166667, "learning_rate": 0.0001, "loss": 7.3339, "loss/crossentropy": 2.1042421609163284, "loss/hidden": 3.31796875, "loss/jsd": 0.0, "loss/logits": 0.18525240514427424, "step": 17150 }, { "epoch": 0.429, "grad_norm": 29.625, "grad_norm_var": 4.44765625, "learning_rate": 0.0001, "loss": 7.3841, "loss/crossentropy": 2.0857191674411295, "loss/hidden": 3.331640625, "loss/jsd": 0.0, "loss/logits": 0.18139904439449311, "step": 17160 }, { "epoch": 0.42925, "grad_norm": 26.75, "grad_norm_var": 9.897330729166667, "learning_rate": 0.0001, "loss": 7.2916, "loss/crossentropy": 1.9972345970571042, "loss/hidden": 3.359375, "loss/jsd": 0.0, "loss/logits": 0.19361406620591878, "step": 17170 }, { "epoch": 0.4295, "grad_norm": 33.0, "grad_norm_var": 11.613997395833334, "learning_rate": 0.0001, "loss": 7.3454, "loss/crossentropy": 2.0664907500147818, "loss/hidden": 3.33203125, "loss/jsd": 0.0, "loss/logits": 0.18069064132869245, "step": 17180 }, { "epoch": 0.42975, "grad_norm": 31.375, "grad_norm_var": 3.7225065363373645e+18, "learning_rate": 0.0001, "loss": 7.3382, "loss/crossentropy": 2.174539531767368, "loss/hidden": 3.417578125, "loss/jsd": 0.0, "loss/logits": 0.1991014001891017, "step": 17190 }, { "epoch": 0.43, "grad_norm": 31.75, "grad_norm_var": 3.0708333333333333, "learning_rate": 0.0001, "loss": 7.3096, "loss/crossentropy": 1.952410513907671, "loss/hidden": 3.39609375, "loss/jsd": 0.0, "loss/logits": 0.1856127019971609, "step": 17200 }, { "epoch": 0.43025, "grad_norm": 38.75, "grad_norm_var": 8.0275390625, "learning_rate": 0.0001, "loss": 7.4419, "loss/crossentropy": 2.128667399287224, "loss/hidden": 3.334375, "loss/jsd": 0.0, "loss/logits": 0.2061656942591071, "step": 17210 }, { "epoch": 0.4305, "grad_norm": 30.125, "grad_norm_var": 8.792708333333334, "learning_rate": 0.0001, "loss": 7.2925, "loss/crossentropy": 1.969744972884655, "loss/hidden": 3.486328125, "loss/jsd": 0.0, "loss/logits": 0.2011998776346445, "step": 17220 }, { "epoch": 0.43075, "grad_norm": 49.75, "grad_norm_var": 25.044791666666665, "learning_rate": 0.0001, "loss": 7.3512, "loss/crossentropy": 2.09512839615345, "loss/hidden": 3.272265625, "loss/jsd": 0.0, "loss/logits": 0.17890227846801282, "step": 17230 }, { "epoch": 0.431, "grad_norm": 29.625, "grad_norm_var": 25.836458333333333, "learning_rate": 0.0001, "loss": 7.3174, "loss/crossentropy": 2.2069885596632957, "loss/hidden": 3.38046875, "loss/jsd": 0.0, "loss/logits": 0.20973877012729644, "step": 17240 }, { "epoch": 0.43125, "grad_norm": 31.875, "grad_norm_var": 2.7309405650762245e+18, "learning_rate": 0.0001, "loss": 7.4689, "loss/crossentropy": 2.197174680233002, "loss/hidden": 3.248828125, "loss/jsd": 0.0, "loss/logits": 0.184923891723156, "step": 17250 }, { "epoch": 0.4315, "grad_norm": 28.0, "grad_norm_var": 2.730940565530678e+18, "learning_rate": 0.0001, "loss": 7.2989, "loss/crossentropy": 2.08426301702857, "loss/hidden": 3.3953125, "loss/jsd": 0.0, "loss/logits": 0.18929961118847133, "step": 17260 }, { "epoch": 0.43175, "grad_norm": 31.75, "grad_norm_var": 9.408268229166667, "learning_rate": 0.0001, "loss": 7.3047, "loss/crossentropy": 1.9928709417581558, "loss/hidden": 3.44375, "loss/jsd": 0.0, "loss/logits": 0.19445511922240258, "step": 17270 }, { "epoch": 0.432, "grad_norm": 41.25, "grad_norm_var": 17.242708333333333, "learning_rate": 0.0001, "loss": 7.2872, "loss/crossentropy": 1.9035924103111028, "loss/hidden": 3.391015625, "loss/jsd": 0.0, "loss/logits": 0.18102165032178164, "step": 17280 }, { "epoch": 0.43225, "grad_norm": 28.125, "grad_norm_var": 14.945768229166667, "learning_rate": 0.0001, "loss": 7.3079, "loss/crossentropy": 2.2340116620063784, "loss/hidden": 3.29921875, "loss/jsd": 0.0, "loss/logits": 0.19132067933678626, "step": 17290 }, { "epoch": 0.4325, "grad_norm": 29.5, "grad_norm_var": 8.06875, "learning_rate": 0.0001, "loss": 7.2915, "loss/crossentropy": 2.0194656267762183, "loss/hidden": 3.36875, "loss/jsd": 0.0, "loss/logits": 0.19431380424648523, "step": 17300 }, { "epoch": 0.43275, "grad_norm": 30.875, "grad_norm_var": 8.566666666666666, "learning_rate": 0.0001, "loss": 7.261, "loss/crossentropy": 2.001611000299454, "loss/hidden": 3.28828125, "loss/jsd": 0.0, "loss/logits": 0.17275465354323388, "step": 17310 }, { "epoch": 0.433, "grad_norm": 35.25, "grad_norm_var": 13.3775390625, "learning_rate": 0.0001, "loss": 7.3377, "loss/crossentropy": 2.114110495150089, "loss/hidden": 3.439453125, "loss/jsd": 0.0, "loss/logits": 0.20012194942682981, "step": 17320 }, { "epoch": 0.43325, "grad_norm": 39.0, "grad_norm_var": 44.28958333333333, "learning_rate": 0.0001, "loss": 7.3729, "loss/crossentropy": 2.2978450536727903, "loss/hidden": 3.27734375, "loss/jsd": 0.0, "loss/logits": 0.18779626674950123, "step": 17330 }, { "epoch": 0.4335, "grad_norm": 32.0, "grad_norm_var": 33.8791015625, "learning_rate": 0.0001, "loss": 7.3487, "loss/crossentropy": 2.0877898022532464, "loss/hidden": 3.296484375, "loss/jsd": 0.0, "loss/logits": 0.18020253200083972, "step": 17340 }, { "epoch": 0.43375, "grad_norm": 28.25, "grad_norm_var": 6.508333333333334, "learning_rate": 0.0001, "loss": 7.2337, "loss/crossentropy": 1.9320446044206618, "loss/hidden": 3.407421875, "loss/jsd": 0.0, "loss/logits": 0.18643499026075006, "step": 17350 }, { "epoch": 0.434, "grad_norm": 38.25, "grad_norm_var": 9.514322916666666, "learning_rate": 0.0001, "loss": 7.3395, "loss/crossentropy": 2.033699007332325, "loss/hidden": 3.369921875, "loss/jsd": 0.0, "loss/logits": 0.18971308488398791, "step": 17360 }, { "epoch": 0.43425, "grad_norm": 30.0, "grad_norm_var": 6.888997395833333, "learning_rate": 0.0001, "loss": 7.353, "loss/crossentropy": 2.1282121136784555, "loss/hidden": 3.30546875, "loss/jsd": 0.0, "loss/logits": 0.1824582252651453, "step": 17370 }, { "epoch": 0.4345, "grad_norm": 30.5, "grad_norm_var": 4.592708333333333, "learning_rate": 0.0001, "loss": 7.2093, "loss/crossentropy": 2.1514922633767126, "loss/hidden": 3.37421875, "loss/jsd": 0.0, "loss/logits": 0.19244836810976268, "step": 17380 }, { "epoch": 0.43475, "grad_norm": 31.0, "grad_norm_var": 8.587434895833333, "learning_rate": 0.0001, "loss": 7.28, "loss/crossentropy": 1.9829683952033519, "loss/hidden": 3.3828125, "loss/jsd": 0.0, "loss/logits": 0.1997856667265296, "step": 17390 }, { "epoch": 0.435, "grad_norm": 30.25, "grad_norm_var": 12.732747395833334, "learning_rate": 0.0001, "loss": 7.327, "loss/crossentropy": 2.0963875532150267, "loss/hidden": 3.2953125, "loss/jsd": 0.0, "loss/logits": 0.18260720651596785, "step": 17400 }, { "epoch": 0.43525, "grad_norm": 39.25, "grad_norm_var": 13.623893229166667, "learning_rate": 0.0001, "loss": 7.2851, "loss/crossentropy": 2.1481306463479997, "loss/hidden": 3.328125, "loss/jsd": 0.0, "loss/logits": 0.18422619421035052, "step": 17410 }, { "epoch": 0.4355, "grad_norm": 35.25, "grad_norm_var": 33.15514322916667, "learning_rate": 0.0001, "loss": 7.2614, "loss/crossentropy": 1.94967889636755, "loss/hidden": 3.31015625, "loss/jsd": 0.0, "loss/logits": 0.16873782277107238, "step": 17420 }, { "epoch": 0.43575, "grad_norm": 30.25, "grad_norm_var": 19.037239583333335, "learning_rate": 0.0001, "loss": 7.2782, "loss/crossentropy": 2.3510662406682967, "loss/hidden": 3.228515625, "loss/jsd": 0.0, "loss/logits": 0.18572253845632075, "step": 17430 }, { "epoch": 0.436, "grad_norm": 28.375, "grad_norm_var": 1.3291666666666666, "learning_rate": 0.0001, "loss": 7.3387, "loss/crossentropy": 2.1440586492419245, "loss/hidden": 3.355078125, "loss/jsd": 0.0, "loss/logits": 0.1921809207648039, "step": 17440 }, { "epoch": 0.43625, "grad_norm": 30.0, "grad_norm_var": 1.2837890625, "learning_rate": 0.0001, "loss": 7.2998, "loss/crossentropy": 2.045154483616352, "loss/hidden": 3.39140625, "loss/jsd": 0.0, "loss/logits": 0.20081294253468512, "step": 17450 }, { "epoch": 0.4365, "grad_norm": 35.75, "grad_norm_var": 4.692643229166666, "learning_rate": 0.0001, "loss": 7.2213, "loss/crossentropy": 1.9950920060276984, "loss/hidden": 3.28828125, "loss/jsd": 0.0, "loss/logits": 0.18348362799733878, "step": 17460 }, { "epoch": 0.43675, "grad_norm": 28.625, "grad_norm_var": 47.77890625, "learning_rate": 0.0001, "loss": 7.2084, "loss/crossentropy": 2.0935964420437814, "loss/hidden": 3.390625, "loss/jsd": 0.0, "loss/logits": 0.1935350162908435, "step": 17470 }, { "epoch": 0.437, "grad_norm": 30.375, "grad_norm_var": 51.95462239583333, "learning_rate": 0.0001, "loss": 7.3469, "loss/crossentropy": 2.2382303804159163, "loss/hidden": 3.375, "loss/jsd": 0.0, "loss/logits": 0.2008738409727812, "step": 17480 }, { "epoch": 0.43725, "grad_norm": 30.75, "grad_norm_var": 7.177083333333333, "learning_rate": 0.0001, "loss": 7.2088, "loss/crossentropy": 2.0825397919863464, "loss/hidden": 3.397265625, "loss/jsd": 0.0, "loss/logits": 0.19918248979374767, "step": 17490 }, { "epoch": 0.4375, "grad_norm": 31.0, "grad_norm_var": 41.16015625, "learning_rate": 0.0001, "loss": 7.3124, "loss/crossentropy": 2.1086046427488325, "loss/hidden": 3.40703125, "loss/jsd": 0.0, "loss/logits": 0.2059457702562213, "step": 17500 }, { "epoch": 0.43775, "grad_norm": 30.25, "grad_norm_var": 41.1275390625, "learning_rate": 0.0001, "loss": 7.3142, "loss/crossentropy": 2.1939937084913255, "loss/hidden": 3.382421875, "loss/jsd": 0.0, "loss/logits": 0.19669633246958257, "step": 17510 }, { "epoch": 0.438, "grad_norm": 30.0, "grad_norm_var": 5.426822916666667, "learning_rate": 0.0001, "loss": 7.4971, "loss/crossentropy": 2.077922207117081, "loss/hidden": 3.394140625, "loss/jsd": 0.0, "loss/logits": 0.19905825443565844, "step": 17520 }, { "epoch": 0.43825, "grad_norm": 35.0, "grad_norm_var": 5.139518229166667, "learning_rate": 0.0001, "loss": 7.3389, "loss/crossentropy": 2.2604495763778685, "loss/hidden": 3.26796875, "loss/jsd": 0.0, "loss/logits": 0.18292145486921071, "step": 17530 }, { "epoch": 0.4385, "grad_norm": 29.125, "grad_norm_var": 1.9483723958333334, "learning_rate": 0.0001, "loss": 7.3261, "loss/crossentropy": 2.033947843313217, "loss/hidden": 3.444140625, "loss/jsd": 0.0, "loss/logits": 0.18323329892009496, "step": 17540 }, { "epoch": 0.43875, "grad_norm": 30.625, "grad_norm_var": 0.8455729166666667, "learning_rate": 0.0001, "loss": 7.2981, "loss/crossentropy": 2.2359601676464083, "loss/hidden": 3.284765625, "loss/jsd": 0.0, "loss/logits": 0.18464031405746936, "step": 17550 }, { "epoch": 0.439, "grad_norm": 40.5, "grad_norm_var": 2.3053504042993976e+18, "learning_rate": 0.0001, "loss": 7.3321, "loss/crossentropy": 1.9767519772052764, "loss/hidden": 3.375390625, "loss/jsd": 0.0, "loss/logits": 0.17584269326180219, "step": 17560 }, { "epoch": 0.43925, "grad_norm": 29.5, "grad_norm_var": 2.3053504048877535e+18, "learning_rate": 0.0001, "loss": 7.2311, "loss/crossentropy": 2.08755609691143, "loss/hidden": 3.34921875, "loss/jsd": 0.0, "loss/logits": 0.18783280439674854, "step": 17570 }, { "epoch": 0.4395, "grad_norm": 30.875, "grad_norm_var": 2.872330729166667, "learning_rate": 0.0001, "loss": 7.2714, "loss/crossentropy": 2.1911805018782617, "loss/hidden": 3.3390625, "loss/jsd": 0.0, "loss/logits": 0.19903278667479754, "step": 17580 }, { "epoch": 0.43975, "grad_norm": 28.0, "grad_norm_var": 16.263997395833332, "learning_rate": 0.0001, "loss": 7.4407, "loss/crossentropy": 2.1172087833285334, "loss/hidden": 3.417578125, "loss/jsd": 0.0, "loss/logits": 0.1971781937405467, "step": 17590 }, { "epoch": 0.44, "grad_norm": 31.25, "grad_norm_var": 5.95390625, "learning_rate": 0.0001, "loss": 7.4514, "loss/crossentropy": 2.0933860525488854, "loss/hidden": 3.54453125, "loss/jsd": 0.0, "loss/logits": 0.21392161287367345, "step": 17600 }, { "epoch": 0.44025, "grad_norm": 30.375, "grad_norm_var": 8.245833333333334, "learning_rate": 0.0001, "loss": 7.3118, "loss/crossentropy": 2.1100318849086763, "loss/hidden": 3.432421875, "loss/jsd": 0.0, "loss/logits": 0.21126667950302364, "step": 17610 }, { "epoch": 0.4405, "grad_norm": 29.0, "grad_norm_var": 7.802083333333333, "learning_rate": 0.0001, "loss": 7.2395, "loss/crossentropy": 1.9662518702447414, "loss/hidden": 3.31640625, "loss/jsd": 0.0, "loss/logits": 0.17263798629865051, "step": 17620 }, { "epoch": 0.44075, "grad_norm": 37.75, "grad_norm_var": 21.355208333333334, "learning_rate": 0.0001, "loss": 7.3091, "loss/crossentropy": 2.1022576719522474, "loss/hidden": 3.41328125, "loss/jsd": 0.0, "loss/logits": 0.18059359192848207, "step": 17630 }, { "epoch": 0.441, "grad_norm": 29.0, "grad_norm_var": 18.4228515625, "learning_rate": 0.0001, "loss": 7.2647, "loss/crossentropy": 2.158071845769882, "loss/hidden": 3.255078125, "loss/jsd": 0.0, "loss/logits": 0.17066741604357957, "step": 17640 }, { "epoch": 0.44125, "grad_norm": 36.5, "grad_norm_var": 21.584309895833332, "learning_rate": 0.0001, "loss": 7.3432, "loss/crossentropy": 2.017947067320347, "loss/hidden": 3.37109375, "loss/jsd": 0.0, "loss/logits": 0.1873489862307906, "step": 17650 }, { "epoch": 0.4415, "grad_norm": 33.0, "grad_norm_var": 6.862239583333333, "learning_rate": 0.0001, "loss": 7.2728, "loss/crossentropy": 2.2292807698249817, "loss/hidden": 3.309765625, "loss/jsd": 0.0, "loss/logits": 0.18392078932374717, "step": 17660 }, { "epoch": 0.44175, "grad_norm": 31.125, "grad_norm_var": 2.849739583333333, "learning_rate": 0.0001, "loss": 7.1737, "loss/crossentropy": 2.1030597440898418, "loss/hidden": 3.316796875, "loss/jsd": 0.0, "loss/logits": 0.18242286536842583, "step": 17670 }, { "epoch": 0.442, "grad_norm": 30.0, "grad_norm_var": 3.0385416666666667, "learning_rate": 0.0001, "loss": 7.3015, "loss/crossentropy": 2.0946084149181843, "loss/hidden": 3.308203125, "loss/jsd": 0.0, "loss/logits": 0.1821262989193201, "step": 17680 }, { "epoch": 0.44225, "grad_norm": 35.0, "grad_norm_var": 3.60390625, "learning_rate": 0.0001, "loss": 7.2853, "loss/crossentropy": 2.151443210244179, "loss/hidden": 3.39453125, "loss/jsd": 0.0, "loss/logits": 0.19624145627021788, "step": 17690 }, { "epoch": 0.4425, "grad_norm": 34.5, "grad_norm_var": 3.2958333333333334, "learning_rate": 0.0001, "loss": 7.4457, "loss/crossentropy": 2.153268966078758, "loss/hidden": 3.287890625, "loss/jsd": 0.0, "loss/logits": 0.1952244239859283, "step": 17700 }, { "epoch": 0.44275, "grad_norm": 30.5, "grad_norm_var": 2.9791015625, "learning_rate": 0.0001, "loss": 7.2833, "loss/crossentropy": 2.0192960262298585, "loss/hidden": 3.27578125, "loss/jsd": 0.0, "loss/logits": 0.1719641860574484, "step": 17710 }, { "epoch": 0.443, "grad_norm": 29.5, "grad_norm_var": 3.4875, "learning_rate": 0.0001, "loss": 7.3388, "loss/crossentropy": 2.0337466023862363, "loss/hidden": 3.32890625, "loss/jsd": 0.0, "loss/logits": 0.18310964982956648, "step": 17720 }, { "epoch": 0.44325, "grad_norm": 27.5, "grad_norm_var": 8.132747395833333, "learning_rate": 0.0001, "loss": 7.2481, "loss/crossentropy": 2.083891141414642, "loss/hidden": 3.398046875, "loss/jsd": 0.0, "loss/logits": 0.1840117072686553, "step": 17730 }, { "epoch": 0.4435, "grad_norm": 65.0, "grad_norm_var": 79.64270833333333, "learning_rate": 0.0001, "loss": 7.2557, "loss/crossentropy": 2.193793588876724, "loss/hidden": 3.2828125, "loss/jsd": 0.0, "loss/logits": 0.18301294278353453, "step": 17740 }, { "epoch": 0.44375, "grad_norm": 31.25, "grad_norm_var": 79.53098958333334, "learning_rate": 0.0001, "loss": 7.3745, "loss/crossentropy": 2.1639930069446565, "loss/hidden": 3.329296875, "loss/jsd": 0.0, "loss/logits": 0.18582290820777417, "step": 17750 }, { "epoch": 0.444, "grad_norm": 28.875, "grad_norm_var": 4.594791666666667, "learning_rate": 0.0001, "loss": 7.4009, "loss/crossentropy": 2.0524846225976945, "loss/hidden": 3.290234375, "loss/jsd": 0.0, "loss/logits": 0.18291038312017918, "step": 17760 }, { "epoch": 0.44425, "grad_norm": 29.25, "grad_norm_var": 5.265559895833333, "learning_rate": 0.0001, "loss": 7.2015, "loss/crossentropy": 2.0137507632374763, "loss/hidden": 3.365625, "loss/jsd": 0.0, "loss/logits": 0.17316031139343976, "step": 17770 }, { "epoch": 0.4445, "grad_norm": 32.0, "grad_norm_var": 4.96015625, "learning_rate": 0.0001, "loss": 7.3163, "loss/crossentropy": 2.172424706816673, "loss/hidden": 3.40546875, "loss/jsd": 0.0, "loss/logits": 0.19778120778501035, "step": 17780 }, { "epoch": 0.44475, "grad_norm": 29.25, "grad_norm_var": 217.27083333333334, "learning_rate": 0.0001, "loss": 7.1559, "loss/crossentropy": 2.076275750249624, "loss/hidden": 3.3234375, "loss/jsd": 0.0, "loss/logits": 0.17568769995123149, "step": 17790 }, { "epoch": 0.445, "grad_norm": 33.25, "grad_norm_var": 223.44368489583334, "learning_rate": 0.0001, "loss": 7.3438, "loss/crossentropy": 2.270902451872826, "loss/hidden": 3.22265625, "loss/jsd": 0.0, "loss/logits": 0.1801173485815525, "step": 17800 }, { "epoch": 0.44525, "grad_norm": 39.75, "grad_norm_var": 12.383072916666666, "learning_rate": 0.0001, "loss": 7.2998, "loss/crossentropy": 2.1936209172010424, "loss/hidden": 3.49296875, "loss/jsd": 0.0, "loss/logits": 0.19792029969394206, "step": 17810 }, { "epoch": 0.4455, "grad_norm": 29.5, "grad_norm_var": 7.808268229166667, "learning_rate": 0.0001, "loss": 7.3011, "loss/crossentropy": 2.1165911227464678, "loss/hidden": 3.303515625, "loss/jsd": 0.0, "loss/logits": 0.1850597882643342, "step": 17820 }, { "epoch": 0.44575, "grad_norm": 29.5, "grad_norm_var": 2.218489583333333, "learning_rate": 0.0001, "loss": 7.2305, "loss/crossentropy": 2.0913813322782517, "loss/hidden": 3.26171875, "loss/jsd": 0.0, "loss/logits": 0.17276749946177006, "step": 17830 }, { "epoch": 0.446, "grad_norm": 48.25, "grad_norm_var": 40.351497395833334, "learning_rate": 0.0001, "loss": 7.3693, "loss/crossentropy": 2.014899070560932, "loss/hidden": 3.358984375, "loss/jsd": 0.0, "loss/logits": 0.2062089815735817, "step": 17840 }, { "epoch": 0.44625, "grad_norm": 32.5, "grad_norm_var": 31.93515625, "learning_rate": 0.0001, "loss": 7.3685, "loss/crossentropy": 2.048551322519779, "loss/hidden": 3.33671875, "loss/jsd": 0.0, "loss/logits": 0.17983095441013575, "step": 17850 }, { "epoch": 0.4465, "grad_norm": 28.75, "grad_norm_var": 30.507291666666667, "learning_rate": 0.0001, "loss": 7.3944, "loss/crossentropy": 2.094169969111681, "loss/hidden": 3.36171875, "loss/jsd": 0.0, "loss/logits": 0.18028030041605234, "step": 17860 }, { "epoch": 0.44675, "grad_norm": 46.0, "grad_norm_var": 42.3962890625, "learning_rate": 0.0001, "loss": 7.2828, "loss/crossentropy": 2.001505134999752, "loss/hidden": 3.404296875, "loss/jsd": 0.0, "loss/logits": 0.19261684585362673, "step": 17870 }, { "epoch": 0.447, "grad_norm": 29.125, "grad_norm_var": 16.0697265625, "learning_rate": 0.0001, "loss": 7.2928, "loss/crossentropy": 2.034270917624235, "loss/hidden": 3.36484375, "loss/jsd": 0.0, "loss/logits": 0.17677650935947894, "step": 17880 }, { "epoch": 0.44725, "grad_norm": 30.5, "grad_norm_var": 7.384830729166667, "learning_rate": 0.0001, "loss": 7.2414, "loss/crossentropy": 2.177957884967327, "loss/hidden": 3.348828125, "loss/jsd": 0.0, "loss/logits": 0.20077546443790198, "step": 17890 }, { "epoch": 0.4475, "grad_norm": 26.5, "grad_norm_var": 19.184309895833334, "learning_rate": 0.0001, "loss": 7.2819, "loss/crossentropy": 2.130458039045334, "loss/hidden": 3.44921875, "loss/jsd": 0.0, "loss/logits": 0.19989439938217402, "step": 17900 }, { "epoch": 0.44775, "grad_norm": 35.5, "grad_norm_var": 44.08515625, "learning_rate": 0.0001, "loss": 7.1854, "loss/crossentropy": 2.1698092609643935, "loss/hidden": 3.31796875, "loss/jsd": 0.0, "loss/logits": 0.18095692303031682, "step": 17910 }, { "epoch": 0.448, "grad_norm": 38.25, "grad_norm_var": 44.31041666666667, "learning_rate": 0.0001, "loss": 7.3364, "loss/crossentropy": 2.06129896491766, "loss/hidden": 3.30859375, "loss/jsd": 0.0, "loss/logits": 0.18485308829694985, "step": 17920 }, { "epoch": 0.44825, "grad_norm": 37.25, "grad_norm_var": 30.994205729166666, "learning_rate": 0.0001, "loss": 7.3095, "loss/crossentropy": 1.9626867271959783, "loss/hidden": 3.460546875, "loss/jsd": 0.0, "loss/logits": 0.18522640708833932, "step": 17930 }, { "epoch": 0.4485, "grad_norm": 38.75, "grad_norm_var": 14.283072916666667, "learning_rate": 0.0001, "loss": 7.3206, "loss/crossentropy": 2.061312362551689, "loss/hidden": 3.4265625, "loss/jsd": 0.0, "loss/logits": 0.18516826909035444, "step": 17940 }, { "epoch": 0.44875, "grad_norm": 39.25, "grad_norm_var": 12.702083333333333, "learning_rate": 0.0001, "loss": 7.2801, "loss/crossentropy": 2.0153495140373705, "loss/hidden": 3.389453125, "loss/jsd": 0.0, "loss/logits": 0.1914671964943409, "step": 17950 }, { "epoch": 0.449, "grad_norm": 30.75, "grad_norm_var": 10.4650390625, "learning_rate": 0.0001, "loss": 7.3371, "loss/crossentropy": 2.0574869602918624, "loss/hidden": 3.451953125, "loss/jsd": 0.0, "loss/logits": 0.20203660018742084, "step": 17960 }, { "epoch": 0.44925, "grad_norm": 31.0, "grad_norm_var": 7.4431640625, "learning_rate": 0.0001, "loss": 7.301, "loss/crossentropy": 2.1529300838708876, "loss/hidden": 3.304296875, "loss/jsd": 0.0, "loss/logits": 0.18314522188156843, "step": 17970 }, { "epoch": 0.4495, "grad_norm": 29.375, "grad_norm_var": 28.781705729166667, "learning_rate": 0.0001, "loss": 7.286, "loss/crossentropy": 2.2260805390775205, "loss/hidden": 3.29296875, "loss/jsd": 0.0, "loss/logits": 0.18513377662748098, "step": 17980 }, { "epoch": 0.44975, "grad_norm": 29.5, "grad_norm_var": 16.774739583333332, "learning_rate": 0.0001, "loss": 7.4066, "loss/crossentropy": 1.9546913027763366, "loss/hidden": 3.3421875, "loss/jsd": 0.0, "loss/logits": 0.18548114076256753, "step": 17990 }, { "epoch": 0.45, "grad_norm": 31.875, "grad_norm_var": 14.9619140625, "learning_rate": 0.0001, "loss": 7.2574, "loss/crossentropy": 2.0575848095119, "loss/hidden": 3.268359375, "loss/jsd": 0.0, "loss/logits": 0.17614138405770063, "step": 18000 }, { "epoch": 0.45025, "grad_norm": 36.5, "grad_norm_var": 9.5603515625, "learning_rate": 0.0001, "loss": 7.3801, "loss/crossentropy": 2.0923216179013253, "loss/hidden": 3.265234375, "loss/jsd": 0.0, "loss/logits": 0.180926413834095, "step": 18010 }, { "epoch": 0.4505, "grad_norm": 27.25, "grad_norm_var": 13.5884765625, "learning_rate": 0.0001, "loss": 7.3101, "loss/crossentropy": 2.0365143597126005, "loss/hidden": 3.3375, "loss/jsd": 0.0, "loss/logits": 0.1913832610473037, "step": 18020 }, { "epoch": 0.45075, "grad_norm": 31.875, "grad_norm_var": 16.5962890625, "learning_rate": 0.0001, "loss": 7.2971, "loss/crossentropy": 2.0645697891712187, "loss/hidden": 3.40390625, "loss/jsd": 0.0, "loss/logits": 0.19654379645362496, "step": 18030 }, { "epoch": 0.451, "grad_norm": 29.5, "grad_norm_var": 11.794205729166666, "learning_rate": 0.0001, "loss": 7.2328, "loss/crossentropy": 2.0605416260659695, "loss/hidden": 3.319140625, "loss/jsd": 0.0, "loss/logits": 0.18139277547597885, "step": 18040 }, { "epoch": 0.45125, "grad_norm": 32.0, "grad_norm_var": 75.465625, "learning_rate": 0.0001, "loss": 7.2392, "loss/crossentropy": 2.083356872946024, "loss/hidden": 3.34296875, "loss/jsd": 0.0, "loss/logits": 0.2048046118579805, "step": 18050 }, { "epoch": 0.4515, "grad_norm": 36.5, "grad_norm_var": 35.063541666666666, "learning_rate": 0.0001, "loss": 7.2963, "loss/crossentropy": 1.9495014771819115, "loss/hidden": 3.3796875, "loss/jsd": 0.0, "loss/logits": 0.17369234804064035, "step": 18060 }, { "epoch": 0.45175, "grad_norm": 37.5, "grad_norm_var": 10.093684895833333, "learning_rate": 0.0001, "loss": 7.2651, "loss/crossentropy": 2.124495878815651, "loss/hidden": 3.360546875, "loss/jsd": 0.0, "loss/logits": 0.19412798956036567, "step": 18070 }, { "epoch": 0.452, "grad_norm": 26.5, "grad_norm_var": 18.055208333333333, "learning_rate": 0.0001, "loss": 7.4276, "loss/crossentropy": 2.1983793139457704, "loss/hidden": 3.369921875, "loss/jsd": 0.0, "loss/logits": 0.19716158043593168, "step": 18080 }, { "epoch": 0.45225, "grad_norm": 29.0, "grad_norm_var": 16.8509765625, "learning_rate": 0.0001, "loss": 7.2958, "loss/crossentropy": 2.0635679766535757, "loss/hidden": 3.343359375, "loss/jsd": 0.0, "loss/logits": 0.19352352600544692, "step": 18090 }, { "epoch": 0.4525, "grad_norm": 31.875, "grad_norm_var": 4.707291666666666, "learning_rate": 0.0001, "loss": 7.3162, "loss/crossentropy": 2.1419614136219023, "loss/hidden": 3.3515625, "loss/jsd": 0.0, "loss/logits": 0.1909960376098752, "step": 18100 }, { "epoch": 0.45275, "grad_norm": 28.0, "grad_norm_var": 3.0768229166666665, "learning_rate": 0.0001, "loss": 7.2917, "loss/crossentropy": 2.0669834718108175, "loss/hidden": 3.356640625, "loss/jsd": 0.0, "loss/logits": 0.18134585060179234, "step": 18110 }, { "epoch": 0.453, "grad_norm": 29.0, "grad_norm_var": 4.955989583333333, "learning_rate": 0.0001, "loss": 7.3518, "loss/crossentropy": 2.2067804619669915, "loss/hidden": 3.304296875, "loss/jsd": 0.0, "loss/logits": 0.18476400952786207, "step": 18120 }, { "epoch": 0.45325, "grad_norm": 30.625, "grad_norm_var": 11.580989583333333, "learning_rate": 0.0001, "loss": 7.2172, "loss/crossentropy": 2.027407840639353, "loss/hidden": 3.355859375, "loss/jsd": 0.0, "loss/logits": 0.17775150025263428, "step": 18130 }, { "epoch": 0.4535, "grad_norm": 34.5, "grad_norm_var": 12.3259765625, "learning_rate": 0.0001, "loss": 7.2658, "loss/crossentropy": 2.2659630328416824, "loss/hidden": 3.33046875, "loss/jsd": 0.0, "loss/logits": 0.1918324466794729, "step": 18140 }, { "epoch": 0.45375, "grad_norm": 28.75, "grad_norm_var": 5.1869140625, "learning_rate": 0.0001, "loss": 7.2627, "loss/crossentropy": 2.1039141535758974, "loss/hidden": 3.3953125, "loss/jsd": 0.0, "loss/logits": 0.18257359908893706, "step": 18150 }, { "epoch": 0.454, "grad_norm": 28.125, "grad_norm_var": 1.4462890625, "learning_rate": 0.0001, "loss": 7.2659, "loss/crossentropy": 2.1540609017014503, "loss/hidden": 3.35625, "loss/jsd": 0.0, "loss/logits": 0.19397172834724188, "step": 18160 }, { "epoch": 0.45425, "grad_norm": 28.625, "grad_norm_var": 3.134375, "learning_rate": 0.0001, "loss": 7.2332, "loss/crossentropy": 2.0309683278203012, "loss/hidden": 3.455859375, "loss/jsd": 0.0, "loss/logits": 0.19702901802957057, "step": 18170 }, { "epoch": 0.4545, "grad_norm": 27.875, "grad_norm_var": 3.4368798057619784e+18, "learning_rate": 0.0001, "loss": 7.3245, "loss/crossentropy": 1.9289076425135137, "loss/hidden": 3.287890625, "loss/jsd": 0.0, "loss/logits": 0.162909129075706, "step": 18180 }, { "epoch": 0.45475, "grad_norm": 29.75, "grad_norm_var": 6.216666666666667, "learning_rate": 0.0001, "loss": 7.2699, "loss/crossentropy": 2.1170002311468124, "loss/hidden": 3.242578125, "loss/jsd": 0.0, "loss/logits": 0.17830445962026714, "step": 18190 }, { "epoch": 0.455, "grad_norm": 31.5, "grad_norm_var": 1.5801432291666666, "learning_rate": 0.0001, "loss": 7.3454, "loss/crossentropy": 2.1520806990563868, "loss/hidden": 3.418359375, "loss/jsd": 0.0, "loss/logits": 0.193353005964309, "step": 18200 }, { "epoch": 0.45525, "grad_norm": 30.5, "grad_norm_var": 2.0270182291666665, "learning_rate": 0.0001, "loss": 7.2713, "loss/crossentropy": 1.9926446735858918, "loss/hidden": 3.375390625, "loss/jsd": 0.0, "loss/logits": 0.19921180326491594, "step": 18210 }, { "epoch": 0.4555, "grad_norm": 29.125, "grad_norm_var": 22.040559895833333, "learning_rate": 0.0001, "loss": 7.3593, "loss/crossentropy": 2.2070549339056016, "loss/hidden": 3.37890625, "loss/jsd": 0.0, "loss/logits": 0.19235619865357875, "step": 18220 }, { "epoch": 0.45575, "grad_norm": 31.75, "grad_norm_var": 1.6927083333333333, "learning_rate": 0.0001, "loss": 7.3017, "loss/crossentropy": 2.088302744925022, "loss/hidden": 3.290234375, "loss/jsd": 0.0, "loss/logits": 0.17863646000623704, "step": 18230 }, { "epoch": 0.456, "grad_norm": 29.75, "grad_norm_var": 2.7895182291666667, "learning_rate": 0.0001, "loss": 7.1981, "loss/crossentropy": 2.076305481791496, "loss/hidden": 3.296484375, "loss/jsd": 0.0, "loss/logits": 0.16893827533349395, "step": 18240 }, { "epoch": 0.45625, "grad_norm": 31.125, "grad_norm_var": 42.75390625, "learning_rate": 0.0001, "loss": 7.3307, "loss/crossentropy": 1.8771976202726364, "loss/hidden": 3.473046875, "loss/jsd": 0.0, "loss/logits": 0.18784729558974506, "step": 18250 }, { "epoch": 0.4565, "grad_norm": 30.5, "grad_norm_var": 40.77265625, "learning_rate": 0.0001, "loss": 7.2858, "loss/crossentropy": 2.078951980918646, "loss/hidden": 3.365625, "loss/jsd": 0.0, "loss/logits": 0.19046283271163703, "step": 18260 }, { "epoch": 0.45675, "grad_norm": 30.25, "grad_norm_var": 2.2643229166666665, "learning_rate": 0.0001, "loss": 7.296, "loss/crossentropy": 2.1873993456363676, "loss/hidden": 3.309375, "loss/jsd": 0.0, "loss/logits": 0.18323179706931114, "step": 18270 }, { "epoch": 0.457, "grad_norm": 27.125, "grad_norm_var": 2.7113932291666667, "learning_rate": 0.0001, "loss": 7.2805, "loss/crossentropy": 2.1417489528656004, "loss/hidden": 3.2421875, "loss/jsd": 0.0, "loss/logits": 0.1756190422922373, "step": 18280 }, { "epoch": 0.45725, "grad_norm": 30.25, "grad_norm_var": 2.3395182291666665, "learning_rate": 0.0001, "loss": 7.3185, "loss/crossentropy": 2.0876102939248087, "loss/hidden": 3.3265625, "loss/jsd": 0.0, "loss/logits": 0.1938194077461958, "step": 18290 }, { "epoch": 0.4575, "grad_norm": 31.75, "grad_norm_var": 3.5551432291666667, "learning_rate": 0.0001, "loss": 7.3099, "loss/crossentropy": 2.088182657957077, "loss/hidden": 3.28984375, "loss/jsd": 0.0, "loss/logits": 0.18158297892659903, "step": 18300 }, { "epoch": 0.45775, "grad_norm": 30.0, "grad_norm_var": 2.09765625, "learning_rate": 0.0001, "loss": 7.3893, "loss/crossentropy": 2.0980015411973, "loss/hidden": 3.397265625, "loss/jsd": 0.0, "loss/logits": 0.19810429476201535, "step": 18310 }, { "epoch": 0.458, "grad_norm": 32.5, "grad_norm_var": 14.725455729166667, "learning_rate": 0.0001, "loss": 7.3944, "loss/crossentropy": 2.164955261349678, "loss/hidden": 3.330078125, "loss/jsd": 0.0, "loss/logits": 0.19350772826001048, "step": 18320 }, { "epoch": 0.45825, "grad_norm": 29.75, "grad_norm_var": 14.030989583333334, "learning_rate": 0.0001, "loss": 7.3787, "loss/crossentropy": 2.040371149778366, "loss/hidden": 3.290625, "loss/jsd": 0.0, "loss/logits": 0.17534797079861164, "step": 18330 }, { "epoch": 0.4585, "grad_norm": 30.0, "grad_norm_var": 2.597916666666667, "learning_rate": 0.0001, "loss": 7.2343, "loss/crossentropy": 1.948985606431961, "loss/hidden": 3.362109375, "loss/jsd": 0.0, "loss/logits": 0.17247573314234615, "step": 18340 }, { "epoch": 0.45875, "grad_norm": 33.25, "grad_norm_var": 4.514322916666667, "learning_rate": 0.0001, "loss": 7.2451, "loss/crossentropy": 2.1069004431366922, "loss/hidden": 3.419921875, "loss/jsd": 0.0, "loss/logits": 0.2032563455402851, "step": 18350 }, { "epoch": 0.459, "grad_norm": 29.5, "grad_norm_var": 3.6384765625, "learning_rate": 0.0001, "loss": 7.3308, "loss/crossentropy": 2.174188384413719, "loss/hidden": 3.3421875, "loss/jsd": 0.0, "loss/logits": 0.19028009474277496, "step": 18360 }, { "epoch": 0.45925, "grad_norm": 31.375, "grad_norm_var": 3.6384765625, "learning_rate": 0.0001, "loss": 7.3875, "loss/crossentropy": 2.07789751291275, "loss/hidden": 3.314453125, "loss/jsd": 0.0, "loss/logits": 0.1836570143699646, "step": 18370 }, { "epoch": 0.4595, "grad_norm": 30.5, "grad_norm_var": 9.654622395833334, "learning_rate": 0.0001, "loss": 7.2052, "loss/crossentropy": 2.0727937802672387, "loss/hidden": 3.34609375, "loss/jsd": 0.0, "loss/logits": 0.18003296088427306, "step": 18380 }, { "epoch": 0.45975, "grad_norm": 30.75, "grad_norm_var": 10.531184895833333, "learning_rate": 0.0001, "loss": 7.23, "loss/crossentropy": 2.0466937959194182, "loss/hidden": 3.30390625, "loss/jsd": 0.0, "loss/logits": 0.17429272253066302, "step": 18390 }, { "epoch": 0.46, "grad_norm": 28.5, "grad_norm_var": 5.357291666666667, "learning_rate": 0.0001, "loss": 7.2161, "loss/crossentropy": 2.007898286730051, "loss/hidden": 3.2984375, "loss/jsd": 0.0, "loss/logits": 0.17548899427056314, "step": 18400 }, { "epoch": 0.46025, "grad_norm": 30.5, "grad_norm_var": 4.42890625, "learning_rate": 0.0001, "loss": 7.3552, "loss/crossentropy": 2.12602576315403, "loss/hidden": 3.346484375, "loss/jsd": 0.0, "loss/logits": 0.18963672500103712, "step": 18410 }, { "epoch": 0.4605, "grad_norm": 31.875, "grad_norm_var": 2.1228515625, "learning_rate": 0.0001, "loss": 7.2265, "loss/crossentropy": 1.946645411849022, "loss/hidden": 3.30234375, "loss/jsd": 0.0, "loss/logits": 0.1663317572325468, "step": 18420 }, { "epoch": 0.46075, "grad_norm": 32.0, "grad_norm_var": 2.312239583333333, "learning_rate": 0.0001, "loss": 7.3208, "loss/crossentropy": 2.0005823224782944, "loss/hidden": 3.2734375, "loss/jsd": 0.0, "loss/logits": 0.1826445495709777, "step": 18430 }, { "epoch": 0.461, "grad_norm": 30.375, "grad_norm_var": 0.9931640625, "learning_rate": 0.0001, "loss": 7.3267, "loss/crossentropy": 2.1357066452503206, "loss/hidden": 3.40859375, "loss/jsd": 0.0, "loss/logits": 0.19712673518806695, "step": 18440 }, { "epoch": 0.46125, "grad_norm": 29.5, "grad_norm_var": 1.9497395833333333, "learning_rate": 0.0001, "loss": 7.3522, "loss/crossentropy": 2.2581495225429533, "loss/hidden": 3.412109375, "loss/jsd": 0.0, "loss/logits": 0.20862563773989679, "step": 18450 }, { "epoch": 0.4615, "grad_norm": 31.25, "grad_norm_var": 2.3629557291666665, "learning_rate": 0.0001, "loss": 7.2707, "loss/crossentropy": 1.8819428831338882, "loss/hidden": 3.32890625, "loss/jsd": 0.0, "loss/logits": 0.17904695197939874, "step": 18460 }, { "epoch": 0.46175, "grad_norm": 29.125, "grad_norm_var": 2.0885416666666665, "learning_rate": 0.0001, "loss": 7.441, "loss/crossentropy": 2.1469796687364577, "loss/hidden": 3.4140625, "loss/jsd": 0.0, "loss/logits": 0.20115426667034625, "step": 18470 }, { "epoch": 0.462, "grad_norm": 29.375, "grad_norm_var": 1.2333333333333334, "learning_rate": 0.0001, "loss": 7.337, "loss/crossentropy": 2.054457852616906, "loss/hidden": 3.371875, "loss/jsd": 0.0, "loss/logits": 0.18193845450878143, "step": 18480 }, { "epoch": 0.46225, "grad_norm": 32.25, "grad_norm_var": 1.3489583333333333, "learning_rate": 0.0001, "loss": 7.2604, "loss/crossentropy": 2.0947310835123063, "loss/hidden": 3.3, "loss/jsd": 0.0, "loss/logits": 0.18451766278594733, "step": 18490 }, { "epoch": 0.4625, "grad_norm": 30.625, "grad_norm_var": 1.9104166666666667, "learning_rate": 0.0001, "loss": 7.3593, "loss/crossentropy": 2.1241430282592773, "loss/hidden": 3.39296875, "loss/jsd": 0.0, "loss/logits": 0.19629997350275516, "step": 18500 }, { "epoch": 0.46275, "grad_norm": 27.75, "grad_norm_var": 11.044791666666667, "learning_rate": 0.0001, "loss": 7.3238, "loss/crossentropy": 1.99822306483984, "loss/hidden": 3.34375, "loss/jsd": 0.0, "loss/logits": 0.17915242053568364, "step": 18510 }, { "epoch": 0.463, "grad_norm": 28.25, "grad_norm_var": 21.5275390625, "learning_rate": 0.0001, "loss": 7.3394, "loss/crossentropy": 1.996624768525362, "loss/hidden": 3.2890625, "loss/jsd": 0.0, "loss/logits": 0.1680696103721857, "step": 18520 }, { "epoch": 0.46325, "grad_norm": 31.875, "grad_norm_var": 12.8447265625, "learning_rate": 0.0001, "loss": 7.2899, "loss/crossentropy": 1.9818643540143968, "loss/hidden": 3.38046875, "loss/jsd": 0.0, "loss/logits": 0.1780361386016011, "step": 18530 }, { "epoch": 0.4635, "grad_norm": 28.125, "grad_norm_var": 2.0306640625, "learning_rate": 0.0001, "loss": 7.3093, "loss/crossentropy": 1.976102039217949, "loss/hidden": 3.4140625, "loss/jsd": 0.0, "loss/logits": 0.17688030060380697, "step": 18540 }, { "epoch": 0.46375, "grad_norm": 30.875, "grad_norm_var": 1.6103515625, "learning_rate": 0.0001, "loss": 7.4761, "loss/crossentropy": 2.0188881896436213, "loss/hidden": 3.430078125, "loss/jsd": 0.0, "loss/logits": 0.19428470879793167, "step": 18550 }, { "epoch": 0.464, "grad_norm": 28.5, "grad_norm_var": 2.060416666666667, "learning_rate": 0.0001, "loss": 7.2272, "loss/crossentropy": 1.997609743475914, "loss/hidden": 3.3671875, "loss/jsd": 0.0, "loss/logits": 0.179104876331985, "step": 18560 }, { "epoch": 0.46425, "grad_norm": 29.875, "grad_norm_var": 3.9645182291666665, "learning_rate": 0.0001, "loss": 7.4043, "loss/crossentropy": 2.1501515746116637, "loss/hidden": 3.4203125, "loss/jsd": 0.0, "loss/logits": 0.20029870867729188, "step": 18570 }, { "epoch": 0.4645, "grad_norm": 31.125, "grad_norm_var": 3.39140625, "learning_rate": 0.0001, "loss": 7.3202, "loss/crossentropy": 2.1886572629213332, "loss/hidden": 3.33046875, "loss/jsd": 0.0, "loss/logits": 0.18652867767959833, "step": 18580 }, { "epoch": 0.46475, "grad_norm": 31.25, "grad_norm_var": 2.2582682291666667, "learning_rate": 0.0001, "loss": 7.372, "loss/crossentropy": 2.1719513699412345, "loss/hidden": 3.3625, "loss/jsd": 0.0, "loss/logits": 0.1916284618899226, "step": 18590 }, { "epoch": 0.465, "grad_norm": 30.75, "grad_norm_var": 3.7514973958333333, "learning_rate": 0.0001, "loss": 7.2974, "loss/crossentropy": 2.013065665960312, "loss/hidden": 3.364453125, "loss/jsd": 0.0, "loss/logits": 0.1881342137232423, "step": 18600 }, { "epoch": 0.46525, "grad_norm": 29.375, "grad_norm_var": 2.730208333333333, "learning_rate": 0.0001, "loss": 7.3544, "loss/crossentropy": 2.241141265630722, "loss/hidden": 3.438671875, "loss/jsd": 0.0, "loss/logits": 0.19869245793670415, "step": 18610 }, { "epoch": 0.4655, "grad_norm": 28.75, "grad_norm_var": 2.289322916666667, "learning_rate": 0.0001, "loss": 7.2523, "loss/crossentropy": 2.1553829818964005, "loss/hidden": 3.342578125, "loss/jsd": 0.0, "loss/logits": 0.19479922130703925, "step": 18620 }, { "epoch": 0.46575, "grad_norm": 32.75, "grad_norm_var": 1.896875, "learning_rate": 0.0001, "loss": 7.4636, "loss/crossentropy": 2.1676395773887633, "loss/hidden": 3.335546875, "loss/jsd": 0.0, "loss/logits": 0.19261010140180587, "step": 18630 }, { "epoch": 0.466, "grad_norm": 31.5, "grad_norm_var": 2.2739583333333333, "learning_rate": 0.0001, "loss": 7.3126, "loss/crossentropy": 1.9635831721127033, "loss/hidden": 3.440234375, "loss/jsd": 0.0, "loss/logits": 0.18405662197619677, "step": 18640 }, { "epoch": 0.46625, "grad_norm": 30.5, "grad_norm_var": 2.8603515625, "learning_rate": 0.0001, "loss": 7.4266, "loss/crossentropy": 2.194899543747306, "loss/hidden": 3.3421875, "loss/jsd": 0.0, "loss/logits": 0.1942247728817165, "step": 18650 }, { "epoch": 0.4665, "grad_norm": 28.25, "grad_norm_var": 4.420572916666667, "learning_rate": 0.0001, "loss": 7.2987, "loss/crossentropy": 2.054854319989681, "loss/hidden": 3.3203125, "loss/jsd": 0.0, "loss/logits": 0.17799932742491364, "step": 18660 }, { "epoch": 0.46675, "grad_norm": 28.75, "grad_norm_var": 2.7754557291666666, "learning_rate": 0.0001, "loss": 7.3463, "loss/crossentropy": 2.0972565457224848, "loss/hidden": 3.3015625, "loss/jsd": 0.0, "loss/logits": 0.18171238731592892, "step": 18670 }, { "epoch": 0.467, "grad_norm": 30.625, "grad_norm_var": 2.254684908534436e+18, "learning_rate": 0.0001, "loss": 7.4225, "loss/crossentropy": 2.2388961255550384, "loss/hidden": 3.400390625, "loss/jsd": 0.0, "loss/logits": 0.20014150273054837, "step": 18680 }, { "epoch": 0.46725, "grad_norm": 28.375, "grad_norm_var": 8.96875, "learning_rate": 0.0001, "loss": 7.255, "loss/crossentropy": 1.959997519850731, "loss/hidden": 3.349609375, "loss/jsd": 0.0, "loss/logits": 0.1796635765582323, "step": 18690 }, { "epoch": 0.4675, "grad_norm": 30.875, "grad_norm_var": 3.253125, "learning_rate": 0.0001, "loss": 7.4076, "loss/crossentropy": 1.9209066323935986, "loss/hidden": 3.410546875, "loss/jsd": 0.0, "loss/logits": 0.18982454147189856, "step": 18700 }, { "epoch": 0.46775, "grad_norm": 29.875, "grad_norm_var": 4.195572916666666, "learning_rate": 0.0001, "loss": 7.2657, "loss/crossentropy": 2.0889955282211305, "loss/hidden": 3.376171875, "loss/jsd": 0.0, "loss/logits": 0.17577018877491354, "step": 18710 }, { "epoch": 0.468, "grad_norm": 31.125, "grad_norm_var": 3.7997395833333334, "learning_rate": 0.0001, "loss": 7.3168, "loss/crossentropy": 2.0014477796852588, "loss/hidden": 3.430078125, "loss/jsd": 0.0, "loss/logits": 0.18312612753361462, "step": 18720 }, { "epoch": 0.46825, "grad_norm": 31.25, "grad_norm_var": 3.222916666666667, "learning_rate": 0.0001, "loss": 7.4403, "loss/crossentropy": 2.1561698734760286, "loss/hidden": 3.262109375, "loss/jsd": 0.0, "loss/logits": 0.17687523942440747, "step": 18730 }, { "epoch": 0.4685, "grad_norm": 30.5, "grad_norm_var": 3.4395182291666666, "learning_rate": 0.0001, "loss": 7.3355, "loss/crossentropy": 2.116148530691862, "loss/hidden": 3.330078125, "loss/jsd": 0.0, "loss/logits": 0.20347614474594594, "step": 18740 }, { "epoch": 0.46875, "grad_norm": 30.75, "grad_norm_var": 3.3020833333333335, "learning_rate": 0.0001, "loss": 7.3463, "loss/crossentropy": 2.244252935051918, "loss/hidden": 3.35625, "loss/jsd": 0.0, "loss/logits": 0.19784990418702364, "step": 18750 }, { "epoch": 0.469, "grad_norm": 30.125, "grad_norm_var": 2.567122131243849e+18, "learning_rate": 0.0001, "loss": 7.2032, "loss/crossentropy": 2.1832313030958175, "loss/hidden": 3.41171875, "loss/jsd": 0.0, "loss/logits": 0.2140472937375307, "step": 18760 }, { "epoch": 0.46925, "grad_norm": 28.5, "grad_norm_var": 2.567122131550942e+18, "learning_rate": 0.0001, "loss": 7.336, "loss/crossentropy": 2.181801524013281, "loss/hidden": 3.34609375, "loss/jsd": 0.0, "loss/logits": 0.18407561387866736, "step": 18770 }, { "epoch": 0.4695, "grad_norm": 27.875, "grad_norm_var": 1.78125, "learning_rate": 0.0001, "loss": 7.3641, "loss/crossentropy": 2.1652345418930055, "loss/hidden": 3.3765625, "loss/jsd": 0.0, "loss/logits": 0.19351193793118, "step": 18780 }, { "epoch": 0.46975, "grad_norm": 28.25, "grad_norm_var": 1.56875, "learning_rate": 0.0001, "loss": 7.2025, "loss/crossentropy": 2.159587188065052, "loss/hidden": 3.314453125, "loss/jsd": 0.0, "loss/logits": 0.18127773366868496, "step": 18790 }, { "epoch": 0.47, "grad_norm": 31.625, "grad_norm_var": 2.247916666666667, "learning_rate": 0.0001, "loss": 7.3839, "loss/crossentropy": 2.0050713911652567, "loss/hidden": 3.420703125, "loss/jsd": 0.0, "loss/logits": 0.1919370399788022, "step": 18800 }, { "epoch": 0.47025, "grad_norm": 34.25, "grad_norm_var": 3.3997395833333335, "learning_rate": 0.0001, "loss": 7.34, "loss/crossentropy": 2.121124693751335, "loss/hidden": 3.3640625, "loss/jsd": 0.0, "loss/logits": 0.18033649511635302, "step": 18810 }, { "epoch": 0.4705, "grad_norm": 30.875, "grad_norm_var": 3.4650390625, "learning_rate": 0.0001, "loss": 7.1365, "loss/crossentropy": 1.9974480658769607, "loss/hidden": 3.326953125, "loss/jsd": 0.0, "loss/logits": 0.17458155732601882, "step": 18820 }, { "epoch": 0.47075, "grad_norm": 27.875, "grad_norm_var": 2.5473307291666667, "learning_rate": 0.0001, "loss": 7.3431, "loss/crossentropy": 1.9829891242086888, "loss/hidden": 3.37421875, "loss/jsd": 0.0, "loss/logits": 0.18825765140354633, "step": 18830 }, { "epoch": 0.471, "grad_norm": 30.875, "grad_norm_var": 3.7457682291666665, "learning_rate": 0.0001, "loss": 7.3446, "loss/crossentropy": 2.1416624397039414, "loss/hidden": 3.357421875, "loss/jsd": 0.0, "loss/logits": 0.19354026410728692, "step": 18840 }, { "epoch": 0.47125, "grad_norm": 30.5, "grad_norm_var": 11.280989583333334, "learning_rate": 0.0001, "loss": 7.3904, "loss/crossentropy": 2.072100041806698, "loss/hidden": 3.383203125, "loss/jsd": 0.0, "loss/logits": 0.1879756365902722, "step": 18850 }, { "epoch": 0.4715, "grad_norm": 28.5, "grad_norm_var": 10.832291666666666, "learning_rate": 0.0001, "loss": 7.4158, "loss/crossentropy": 2.196484336256981, "loss/hidden": 3.383203125, "loss/jsd": 0.0, "loss/logits": 0.19391732811927795, "step": 18860 }, { "epoch": 0.47175, "grad_norm": 29.0, "grad_norm_var": 4.468489583333334, "learning_rate": 0.0001, "loss": 7.21, "loss/crossentropy": 2.0025278739631176, "loss/hidden": 3.26015625, "loss/jsd": 0.0, "loss/logits": 0.1782412089407444, "step": 18870 }, { "epoch": 0.472, "grad_norm": 29.25, "grad_norm_var": 2.85, "learning_rate": 0.0001, "loss": 7.2742, "loss/crossentropy": 1.8140784852206706, "loss/hidden": 3.375390625, "loss/jsd": 0.0, "loss/logits": 0.1594803395681083, "step": 18880 }, { "epoch": 0.47225, "grad_norm": 31.0, "grad_norm_var": 3.594153947490541e+18, "learning_rate": 0.0001, "loss": 7.4099, "loss/crossentropy": 2.0685198314487936, "loss/hidden": 3.35859375, "loss/jsd": 0.0, "loss/logits": 0.17976643573492765, "step": 18890 }, { "epoch": 0.4725, "grad_norm": 27.5, "grad_norm_var": 3.5941539466769157e+18, "learning_rate": 0.0001, "loss": 7.3278, "loss/crossentropy": 1.995526134967804, "loss/hidden": 3.41484375, "loss/jsd": 0.0, "loss/logits": 0.20469516087323428, "step": 18900 }, { "epoch": 0.47275, "grad_norm": 28.5, "grad_norm_var": 3.9176432291666665, "learning_rate": 0.0001, "loss": 7.2844, "loss/crossentropy": 2.081358040869236, "loss/hidden": 3.293359375, "loss/jsd": 0.0, "loss/logits": 0.1750167841091752, "step": 18910 }, { "epoch": 0.473, "grad_norm": 28.25, "grad_norm_var": 1.0518229166666666, "learning_rate": 0.0001, "loss": 7.2403, "loss/crossentropy": 2.08730803206563, "loss/hidden": 3.347265625, "loss/jsd": 0.0, "loss/logits": 0.1881487349048257, "step": 18920 }, { "epoch": 0.47325, "grad_norm": 31.125, "grad_norm_var": 2.4871128695672494e+18, "learning_rate": 0.0001, "loss": 7.3072, "loss/crossentropy": 2.050686779618263, "loss/hidden": 3.263671875, "loss/jsd": 0.0, "loss/logits": 0.18110219333320857, "step": 18930 }, { "epoch": 0.4735, "grad_norm": 31.125, "grad_norm_var": 2.48711286963296e+18, "learning_rate": 0.0001, "loss": 7.3354, "loss/crossentropy": 2.116658928990364, "loss/hidden": 3.318359375, "loss/jsd": 0.0, "loss/logits": 0.18662892282009125, "step": 18940 }, { "epoch": 0.47375, "grad_norm": 30.5, "grad_norm_var": 3.417122395833333, "learning_rate": 0.0001, "loss": 7.2869, "loss/crossentropy": 2.181796707212925, "loss/hidden": 3.31171875, "loss/jsd": 0.0, "loss/logits": 0.1841755596920848, "step": 18950 }, { "epoch": 0.474, "grad_norm": 31.375, "grad_norm_var": 4.01640625, "learning_rate": 0.0001, "loss": 7.238, "loss/crossentropy": 2.096955654025078, "loss/hidden": 3.31015625, "loss/jsd": 0.0, "loss/logits": 0.1859470222145319, "step": 18960 }, { "epoch": 0.47425, "grad_norm": 29.625, "grad_norm_var": 2.2020833333333334, "learning_rate": 0.0001, "loss": 7.2649, "loss/crossentropy": 2.1101110115647317, "loss/hidden": 3.2515625, "loss/jsd": 0.0, "loss/logits": 0.18113658875226973, "step": 18970 }, { "epoch": 0.4745, "grad_norm": 31.5, "grad_norm_var": 1.6952473958333334, "learning_rate": 0.0001, "loss": 7.218, "loss/crossentropy": 1.9812964178621768, "loss/hidden": 3.343359375, "loss/jsd": 0.0, "loss/logits": 0.17663604663684965, "step": 18980 }, { "epoch": 0.47475, "grad_norm": 31.875, "grad_norm_var": 1.8926432291666666, "learning_rate": 0.0001, "loss": 7.464, "loss/crossentropy": 2.2813973009586332, "loss/hidden": 3.28203125, "loss/jsd": 0.0, "loss/logits": 0.19019655492156745, "step": 18990 }, { "epoch": 0.475, "grad_norm": 32.25, "grad_norm_var": 3.423958333333333, "learning_rate": 0.0001, "loss": 7.427, "loss/crossentropy": 2.1718254670500756, "loss/hidden": 3.2765625, "loss/jsd": 0.0, "loss/logits": 0.18812184669077398, "step": 19000 }, { "epoch": 0.47525, "grad_norm": 31.0, "grad_norm_var": 2.986168000216896e+18, "learning_rate": 0.0001, "loss": 7.4384, "loss/crossentropy": 1.9550217375159264, "loss/hidden": 3.39140625, "loss/jsd": 0.0, "loss/logits": 0.17679040897637605, "step": 19010 }, { "epoch": 0.4755, "grad_norm": 28.875, "grad_norm_var": 2.9861680010449213e+18, "learning_rate": 0.0001, "loss": 7.3947, "loss/crossentropy": 2.001023256778717, "loss/hidden": 3.3453125, "loss/jsd": 0.0, "loss/logits": 0.18076751604676247, "step": 19020 }, { "epoch": 0.47575, "grad_norm": 27.375, "grad_norm_var": 1.3268229166666667, "learning_rate": 0.0001, "loss": 7.2484, "loss/crossentropy": 2.0497733250260355, "loss/hidden": 3.19453125, "loss/jsd": 0.0, "loss/logits": 0.1572325760498643, "step": 19030 }, { "epoch": 0.476, "grad_norm": 30.625, "grad_norm_var": 1.796875, "learning_rate": 0.0001, "loss": 7.4071, "loss/crossentropy": 2.1493683993816375, "loss/hidden": 3.330859375, "loss/jsd": 0.0, "loss/logits": 0.19892700631171464, "step": 19040 }, { "epoch": 0.47625, "grad_norm": 35.0, "grad_norm_var": 3.356705729166667, "learning_rate": 0.0001, "loss": 7.2913, "loss/crossentropy": 2.0519852221012114, "loss/hidden": 3.328515625, "loss/jsd": 0.0, "loss/logits": 0.1828221082687378, "step": 19050 }, { "epoch": 0.4765, "grad_norm": 36.0, "grad_norm_var": 3.5624176427021107e+18, "learning_rate": 0.0001, "loss": 7.3334, "loss/crossentropy": 2.201715832948685, "loss/hidden": 3.33671875, "loss/jsd": 0.0, "loss/logits": 0.20039877742528917, "step": 19060 }, { "epoch": 0.47675, "grad_norm": 30.5, "grad_norm_var": 3.562417643000955e+18, "learning_rate": 0.0001, "loss": 7.3979, "loss/crossentropy": 2.0442496329545974, "loss/hidden": 3.432421875, "loss/jsd": 0.0, "loss/logits": 0.1853096466511488, "step": 19070 }, { "epoch": 0.477, "grad_norm": 30.0, "grad_norm_var": 1.5322265625, "learning_rate": 0.0001, "loss": 7.2213, "loss/crossentropy": 2.0714069202542307, "loss/hidden": 3.265625, "loss/jsd": 0.0, "loss/logits": 0.1765752835199237, "step": 19080 }, { "epoch": 0.47725, "grad_norm": 28.0, "grad_norm_var": 2.2462890625, "learning_rate": 0.0001, "loss": 7.2175, "loss/crossentropy": 1.784161239117384, "loss/hidden": 3.387890625, "loss/jsd": 0.0, "loss/logits": 0.19739716919139028, "step": 19090 }, { "epoch": 0.4775, "grad_norm": 30.375, "grad_norm_var": 3.033072916666667, "learning_rate": 0.0001, "loss": 7.258, "loss/crossentropy": 2.0708198331296446, "loss/hidden": 3.43515625, "loss/jsd": 0.0, "loss/logits": 0.18721713982522487, "step": 19100 }, { "epoch": 0.47775, "grad_norm": 30.875, "grad_norm_var": 3.3442041695808343e+18, "learning_rate": 0.0001, "loss": 7.363, "loss/crossentropy": 2.105399575829506, "loss/hidden": 3.39296875, "loss/jsd": 0.0, "loss/logits": 0.19771641138941048, "step": 19110 }, { "epoch": 0.478, "grad_norm": 31.25, "grad_norm_var": 6.77890625, "learning_rate": 0.0001, "loss": 7.3457, "loss/crossentropy": 2.0999079287052154, "loss/hidden": 3.265234375, "loss/jsd": 0.0, "loss/logits": 0.1782015733420849, "step": 19120 }, { "epoch": 0.47825, "grad_norm": 29.375, "grad_norm_var": 2.011458333333333, "learning_rate": 0.0001, "loss": 7.2927, "loss/crossentropy": 2.060526109486818, "loss/hidden": 3.454296875, "loss/jsd": 0.0, "loss/logits": 0.19682135116308927, "step": 19130 }, { "epoch": 0.4785, "grad_norm": 31.375, "grad_norm_var": 2.3447265625, "learning_rate": 0.0001, "loss": 7.1563, "loss/crossentropy": 1.9666556693613528, "loss/hidden": 3.39375, "loss/jsd": 0.0, "loss/logits": 0.18265628404915332, "step": 19140 }, { "epoch": 0.47875, "grad_norm": 29.0, "grad_norm_var": 1.0858723958333334, "learning_rate": 0.0001, "loss": 7.3782, "loss/crossentropy": 2.233207347989082, "loss/hidden": 3.305859375, "loss/jsd": 0.0, "loss/logits": 0.17987454514950513, "step": 19150 }, { "epoch": 0.479, "grad_norm": 30.75, "grad_norm_var": 32.65807291666667, "learning_rate": 0.0001, "loss": 7.2859, "loss/crossentropy": 2.304356482625008, "loss/hidden": 3.309375, "loss/jsd": 0.0, "loss/logits": 0.19401859547942876, "step": 19160 }, { "epoch": 0.47925, "grad_norm": 26.75, "grad_norm_var": 35.8134765625, "learning_rate": 0.0001, "loss": 7.1512, "loss/crossentropy": 2.187753638625145, "loss/hidden": 3.326953125, "loss/jsd": 0.0, "loss/logits": 0.19042326286435127, "step": 19170 }, { "epoch": 0.4795, "grad_norm": 27.875, "grad_norm_var": 3.17890625, "learning_rate": 0.0001, "loss": 7.3497, "loss/crossentropy": 2.25252815335989, "loss/hidden": 3.34453125, "loss/jsd": 0.0, "loss/logits": 0.1958579957485199, "step": 19180 }, { "epoch": 0.47975, "grad_norm": 33.25, "grad_norm_var": 3.4058471885172465e+18, "learning_rate": 0.0001, "loss": 7.2983, "loss/crossentropy": 1.9786495432257651, "loss/hidden": 3.376953125, "loss/jsd": 0.0, "loss/logits": 0.19189926832914353, "step": 19190 }, { "epoch": 0.48, "grad_norm": 30.75, "grad_norm_var": 3.405847187102368e+18, "learning_rate": 0.0001, "loss": 7.2884, "loss/crossentropy": 2.13499116525054, "loss/hidden": 3.2828125, "loss/jsd": 0.0, "loss/logits": 0.18915282813832163, "step": 19200 }, { "epoch": 0.48025, "grad_norm": 29.375, "grad_norm_var": 7.429622395833333, "learning_rate": 0.0001, "loss": 7.3051, "loss/crossentropy": 2.1838356882333754, "loss/hidden": 3.423828125, "loss/jsd": 0.0, "loss/logits": 0.19484667405486106, "step": 19210 }, { "epoch": 0.4805, "grad_norm": 35.0, "grad_norm_var": 5.877018229166667, "learning_rate": 0.0001, "loss": 7.2957, "loss/crossentropy": 2.1596252396702766, "loss/hidden": 3.422265625, "loss/jsd": 0.0, "loss/logits": 0.19484965018928052, "step": 19220 }, { "epoch": 0.48075, "grad_norm": 32.25, "grad_norm_var": 6.5744140625, "learning_rate": 0.0001, "loss": 7.3458, "loss/crossentropy": 1.9286774158477784, "loss/hidden": 3.455859375, "loss/jsd": 0.0, "loss/logits": 0.20619444027543068, "step": 19230 }, { "epoch": 0.481, "grad_norm": 30.75, "grad_norm_var": 2.6780598958333335, "learning_rate": 0.0001, "loss": 7.3249, "loss/crossentropy": 2.0902815729379656, "loss/hidden": 3.285546875, "loss/jsd": 0.0, "loss/logits": 0.17610749285668134, "step": 19240 }, { "epoch": 0.48125, "grad_norm": 31.625, "grad_norm_var": 3.191666666666667, "learning_rate": 0.0001, "loss": 7.3046, "loss/crossentropy": 2.117246875911951, "loss/hidden": 3.3140625, "loss/jsd": 0.0, "loss/logits": 0.1708180472254753, "step": 19250 }, { "epoch": 0.4815, "grad_norm": 29.875, "grad_norm_var": 3.9801432291666665, "learning_rate": 0.0001, "loss": 7.285, "loss/crossentropy": 1.9743897125124932, "loss/hidden": 3.475, "loss/jsd": 0.0, "loss/logits": 0.18220343571156264, "step": 19260 }, { "epoch": 0.48175, "grad_norm": 29.5, "grad_norm_var": 1.52265625, "learning_rate": 0.0001, "loss": 7.416, "loss/crossentropy": 2.128947339951992, "loss/hidden": 3.32890625, "loss/jsd": 0.0, "loss/logits": 0.18609113954007625, "step": 19270 }, { "epoch": 0.482, "grad_norm": 32.25, "grad_norm_var": 2.0311848958333334, "learning_rate": 0.0001, "loss": 7.4237, "loss/crossentropy": 1.9989797204732895, "loss/hidden": 3.436328125, "loss/jsd": 0.0, "loss/logits": 0.19045947063714266, "step": 19280 }, { "epoch": 0.48225, "grad_norm": 30.25, "grad_norm_var": 2.456184895833333, "learning_rate": 0.0001, "loss": 7.3041, "loss/crossentropy": 2.0317627035081385, "loss/hidden": 3.33984375, "loss/jsd": 0.0, "loss/logits": 0.18456566017121076, "step": 19290 }, { "epoch": 0.4825, "grad_norm": 29.875, "grad_norm_var": 1.0416015625, "learning_rate": 0.0001, "loss": 7.2606, "loss/crossentropy": 1.994530802220106, "loss/hidden": 3.36328125, "loss/jsd": 0.0, "loss/logits": 0.18545446768403054, "step": 19300 }, { "epoch": 0.48275, "grad_norm": 30.75, "grad_norm_var": 8.439518229166667, "learning_rate": 0.0001, "loss": 7.352, "loss/crossentropy": 2.023553788661957, "loss/hidden": 3.30703125, "loss/jsd": 0.0, "loss/logits": 0.17272286228835582, "step": 19310 }, { "epoch": 0.483, "grad_norm": 27.625, "grad_norm_var": 8.5462890625, "learning_rate": 0.0001, "loss": 7.3492, "loss/crossentropy": 2.0078469097614287, "loss/hidden": 3.45078125, "loss/jsd": 0.0, "loss/logits": 0.1847759123891592, "step": 19320 }, { "epoch": 0.48325, "grad_norm": 31.5, "grad_norm_var": 2.8020833333333335, "learning_rate": 0.0001, "loss": 7.2202, "loss/crossentropy": 2.084314952790737, "loss/hidden": 3.382421875, "loss/jsd": 0.0, "loss/logits": 0.17277139481157064, "step": 19330 }, { "epoch": 0.4835, "grad_norm": 27.875, "grad_norm_var": 2.183333333333333, "learning_rate": 0.0001, "loss": 7.3691, "loss/crossentropy": 2.0023327678442002, "loss/hidden": 3.334765625, "loss/jsd": 0.0, "loss/logits": 0.17878497913479804, "step": 19340 }, { "epoch": 0.48375, "grad_norm": 29.375, "grad_norm_var": 1.9556640625, "learning_rate": 0.0001, "loss": 7.2622, "loss/crossentropy": 2.160814478993416, "loss/hidden": 3.384375, "loss/jsd": 0.0, "loss/logits": 0.19914763923734427, "step": 19350 }, { "epoch": 0.484, "grad_norm": 30.875, "grad_norm_var": 1.22265625, "learning_rate": 0.0001, "loss": 7.4019, "loss/crossentropy": 2.0562733739614485, "loss/hidden": 3.521484375, "loss/jsd": 0.0, "loss/logits": 0.231661388091743, "step": 19360 }, { "epoch": 0.48425, "grad_norm": 32.5, "grad_norm_var": 5.6650390625, "learning_rate": 0.0001, "loss": 7.3196, "loss/crossentropy": 2.1037007592618466, "loss/hidden": 3.41328125, "loss/jsd": 0.0, "loss/logits": 0.20012609604746104, "step": 19370 }, { "epoch": 0.4845, "grad_norm": 30.25, "grad_norm_var": 5.585872395833333, "learning_rate": 0.0001, "loss": 7.2967, "loss/crossentropy": 2.0158598870038986, "loss/hidden": 3.31796875, "loss/jsd": 0.0, "loss/logits": 0.18958695326000452, "step": 19380 }, { "epoch": 0.48475, "grad_norm": 30.0, "grad_norm_var": 2.6494140625, "learning_rate": 0.0001, "loss": 7.3039, "loss/crossentropy": 2.155204123258591, "loss/hidden": 3.408984375, "loss/jsd": 0.0, "loss/logits": 0.2042725382372737, "step": 19390 }, { "epoch": 0.485, "grad_norm": 29.375, "grad_norm_var": 2.001822916666667, "learning_rate": 0.0001, "loss": 7.3471, "loss/crossentropy": 2.130756896734238, "loss/hidden": 3.48984375, "loss/jsd": 0.0, "loss/logits": 0.21289011891931295, "step": 19400 }, { "epoch": 0.48525, "grad_norm": 29.875, "grad_norm_var": 1.2583333333333333, "learning_rate": 0.0001, "loss": 7.3385, "loss/crossentropy": 1.9661409441381692, "loss/hidden": 3.351953125, "loss/jsd": 0.0, "loss/logits": 0.1758869204670191, "step": 19410 }, { "epoch": 0.4855, "grad_norm": 31.25, "grad_norm_var": 1.2416015625, "learning_rate": 0.0001, "loss": 7.3636, "loss/crossentropy": 2.088372728228569, "loss/hidden": 3.320703125, "loss/jsd": 0.0, "loss/logits": 0.1817894596606493, "step": 19420 }, { "epoch": 0.48575, "grad_norm": 31.875, "grad_norm_var": 1.9983723958333333, "learning_rate": 0.0001, "loss": 7.2972, "loss/crossentropy": 2.288235005736351, "loss/hidden": 3.339453125, "loss/jsd": 0.0, "loss/logits": 0.20123199094086885, "step": 19430 }, { "epoch": 0.486, "grad_norm": 30.25, "grad_norm_var": 0.8858723958333333, "learning_rate": 0.0001, "loss": 7.3093, "loss/crossentropy": 2.1147582471370696, "loss/hidden": 3.346875, "loss/jsd": 0.0, "loss/logits": 0.1947942255064845, "step": 19440 }, { "epoch": 0.48625, "grad_norm": 34.0, "grad_norm_var": 2.8509765625, "learning_rate": 0.0001, "loss": 7.3116, "loss/crossentropy": 2.089379907399416, "loss/hidden": 3.38125, "loss/jsd": 0.0, "loss/logits": 0.19097770117223262, "step": 19450 }, { "epoch": 0.4865, "grad_norm": 29.25, "grad_norm_var": 2.7372395833333334, "learning_rate": 0.0001, "loss": 7.3315, "loss/crossentropy": 2.16123593300581, "loss/hidden": 3.43359375, "loss/jsd": 0.0, "loss/logits": 0.19270185381174088, "step": 19460 }, { "epoch": 0.48675, "grad_norm": 31.0, "grad_norm_var": 2.511458333333333, "learning_rate": 0.0001, "loss": 7.3166, "loss/crossentropy": 1.9626320779323578, "loss/hidden": 3.41640625, "loss/jsd": 0.0, "loss/logits": 0.1842844920232892, "step": 19470 }, { "epoch": 0.487, "grad_norm": 28.625, "grad_norm_var": 2.5254557291666666, "learning_rate": 0.0001, "loss": 7.3752, "loss/crossentropy": 2.0067977510392665, "loss/hidden": 3.446484375, "loss/jsd": 0.0, "loss/logits": 0.1906943406909704, "step": 19480 }, { "epoch": 0.48725, "grad_norm": 30.25, "grad_norm_var": 5.573372395833333, "learning_rate": 0.0001, "loss": 7.3081, "loss/crossentropy": 1.9796999536454678, "loss/hidden": 3.3046875, "loss/jsd": 0.0, "loss/logits": 0.17342409659177066, "step": 19490 }, { "epoch": 0.4875, "grad_norm": 31.25, "grad_norm_var": 6.215559895833334, "learning_rate": 0.0001, "loss": 7.2416, "loss/crossentropy": 2.0168533116579055, "loss/hidden": 3.288671875, "loss/jsd": 0.0, "loss/logits": 0.17710478082299233, "step": 19500 }, { "epoch": 0.48775, "grad_norm": 28.375, "grad_norm_var": 5.944791666666666, "learning_rate": 0.0001, "loss": 7.2389, "loss/crossentropy": 2.0261049672961233, "loss/hidden": 3.309765625, "loss/jsd": 0.0, "loss/logits": 0.17297806199640037, "step": 19510 }, { "epoch": 0.488, "grad_norm": 29.75, "grad_norm_var": 2.620247395833333, "learning_rate": 0.0001, "loss": 7.3401, "loss/crossentropy": 2.156434553861618, "loss/hidden": 3.345703125, "loss/jsd": 0.0, "loss/logits": 0.19226507674902676, "step": 19520 }, { "epoch": 0.48825, "grad_norm": 31.625, "grad_norm_var": 2.568489583333333, "learning_rate": 0.0001, "loss": 7.2962, "loss/crossentropy": 2.0590639621019364, "loss/hidden": 3.277734375, "loss/jsd": 0.0, "loss/logits": 0.17470778487622737, "step": 19530 }, { "epoch": 0.4885, "grad_norm": 30.375, "grad_norm_var": 1.6957682291666667, "learning_rate": 0.0001, "loss": 7.2644, "loss/crossentropy": 2.2576445043087006, "loss/hidden": 3.30390625, "loss/jsd": 0.0, "loss/logits": 0.17541414052248, "step": 19540 }, { "epoch": 0.48875, "grad_norm": 33.25, "grad_norm_var": 5.232747395833333, "learning_rate": 0.0001, "loss": 7.2863, "loss/crossentropy": 1.8561327636241913, "loss/hidden": 3.374609375, "loss/jsd": 0.0, "loss/logits": 0.17461737468838692, "step": 19550 }, { "epoch": 0.489, "grad_norm": 30.25, "grad_norm_var": 9.878125, "learning_rate": 0.0001, "loss": 7.2798, "loss/crossentropy": 1.989323940873146, "loss/hidden": 3.3515625, "loss/jsd": 0.0, "loss/logits": 0.19638592712581157, "step": 19560 }, { "epoch": 0.48925, "grad_norm": 32.5, "grad_norm_var": 13.573893229166666, "learning_rate": 0.0001, "loss": 7.4564, "loss/crossentropy": 2.173425105214119, "loss/hidden": 3.38828125, "loss/jsd": 0.0, "loss/logits": 0.19522506278008223, "step": 19570 }, { "epoch": 0.4895, "grad_norm": 32.25, "grad_norm_var": 13.3087890625, "learning_rate": 0.0001, "loss": 7.4398, "loss/crossentropy": 2.1963840425014496, "loss/hidden": 3.383203125, "loss/jsd": 0.0, "loss/logits": 0.20581881813704966, "step": 19580 }, { "epoch": 0.48975, "grad_norm": 31.375, "grad_norm_var": 14.501497395833333, "learning_rate": 0.0001, "loss": 7.288, "loss/crossentropy": 2.2206703200936317, "loss/hidden": 3.310546875, "loss/jsd": 0.0, "loss/logits": 0.1854398850351572, "step": 19590 }, { "epoch": 0.49, "grad_norm": 29.125, "grad_norm_var": 6.174934895833333, "learning_rate": 0.0001, "loss": 7.3071, "loss/crossentropy": 2.182942679524422, "loss/hidden": 3.448046875, "loss/jsd": 0.0, "loss/logits": 0.20937685370445253, "step": 19600 }, { "epoch": 0.49025, "grad_norm": 30.625, "grad_norm_var": 5.620768229166667, "learning_rate": 0.0001, "loss": 7.2791, "loss/crossentropy": 1.968775314092636, "loss/hidden": 3.373046875, "loss/jsd": 0.0, "loss/logits": 0.18280262742191553, "step": 19610 }, { "epoch": 0.4905, "grad_norm": 31.0, "grad_norm_var": 4.764322916666667, "learning_rate": 0.0001, "loss": 7.2851, "loss/crossentropy": 2.1555724523961546, "loss/hidden": 3.344921875, "loss/jsd": 0.0, "loss/logits": 0.1888716220855713, "step": 19620 }, { "epoch": 0.49075, "grad_norm": 36.5, "grad_norm_var": 7.4150390625, "learning_rate": 0.0001, "loss": 7.2932, "loss/crossentropy": 2.2111911468207834, "loss/hidden": 3.321875, "loss/jsd": 0.0, "loss/logits": 0.18723924830555916, "step": 19630 }, { "epoch": 0.491, "grad_norm": 31.25, "grad_norm_var": 6.720572916666667, "learning_rate": 0.0001, "loss": 7.2567, "loss/crossentropy": 1.9819117814302445, "loss/hidden": 3.3390625, "loss/jsd": 0.0, "loss/logits": 0.17056979294866323, "step": 19640 }, { "epoch": 0.49125, "grad_norm": 28.0, "grad_norm_var": 3.317643229166667, "learning_rate": 0.0001, "loss": 7.2356, "loss/crossentropy": 2.142751504480839, "loss/hidden": 3.342578125, "loss/jsd": 0.0, "loss/logits": 0.17397481221705674, "step": 19650 }, { "epoch": 0.4915, "grad_norm": 31.125, "grad_norm_var": 5.001041666666667, "learning_rate": 0.0001, "loss": 7.3434, "loss/crossentropy": 2.073681902885437, "loss/hidden": 3.408984375, "loss/jsd": 0.0, "loss/logits": 0.2028063558973372, "step": 19660 }, { "epoch": 0.49175, "grad_norm": 29.375, "grad_norm_var": 4.9697265625, "learning_rate": 0.0001, "loss": 7.2295, "loss/crossentropy": 2.070267468690872, "loss/hidden": 3.421484375, "loss/jsd": 0.0, "loss/logits": 0.18656076975166797, "step": 19670 }, { "epoch": 0.492, "grad_norm": 32.25, "grad_norm_var": 6.004166666666666, "learning_rate": 0.0001, "loss": 7.3869, "loss/crossentropy": 2.0801706589758395, "loss/hidden": 3.477734375, "loss/jsd": 0.0, "loss/logits": 0.2120389549061656, "step": 19680 }, { "epoch": 0.49225, "grad_norm": 35.0, "grad_norm_var": 4.446809895833334, "learning_rate": 0.0001, "loss": 7.4227, "loss/crossentropy": 2.1620673507452013, "loss/hidden": 3.35078125, "loss/jsd": 0.0, "loss/logits": 0.197611235268414, "step": 19690 }, { "epoch": 0.4925, "grad_norm": 31.875, "grad_norm_var": 3.01640625, "learning_rate": 0.0001, "loss": 7.3952, "loss/crossentropy": 2.102504736185074, "loss/hidden": 3.260546875, "loss/jsd": 0.0, "loss/logits": 0.18240329679101705, "step": 19700 }, { "epoch": 0.49275, "grad_norm": 30.375, "grad_norm_var": 3.0444333199307136e+18, "learning_rate": 0.0001, "loss": 7.2426, "loss/crossentropy": 2.2651669278740885, "loss/hidden": 3.295703125, "loss/jsd": 0.0, "loss/logits": 0.18710593543946744, "step": 19710 }, { "epoch": 0.493, "grad_norm": 30.875, "grad_norm_var": 3.044433320824939e+18, "learning_rate": 0.0001, "loss": 7.2411, "loss/crossentropy": 2.185315527021885, "loss/hidden": 3.33203125, "loss/jsd": 0.0, "loss/logits": 0.1886447848752141, "step": 19720 }, { "epoch": 0.49325, "grad_norm": 33.25, "grad_norm_var": 2.78125, "learning_rate": 0.0001, "loss": 7.3084, "loss/crossentropy": 2.066023611277342, "loss/hidden": 3.35703125, "loss/jsd": 0.0, "loss/logits": 0.1871557403355837, "step": 19730 }, { "epoch": 0.4935, "grad_norm": 31.375, "grad_norm_var": 3.215625, "learning_rate": 0.0001, "loss": 7.2056, "loss/crossentropy": 2.2202082961797713, "loss/hidden": 3.274609375, "loss/jsd": 0.0, "loss/logits": 0.17992934715002776, "step": 19740 }, { "epoch": 0.49375, "grad_norm": 29.25, "grad_norm_var": 3.4452473958333334, "learning_rate": 0.0001, "loss": 7.3547, "loss/crossentropy": 2.0926157012581825, "loss/hidden": 3.322265625, "loss/jsd": 0.0, "loss/logits": 0.19089100752025842, "step": 19750 }, { "epoch": 0.494, "grad_norm": 32.5, "grad_norm_var": 2.0973307291666665, "learning_rate": 0.0001, "loss": 7.3392, "loss/crossentropy": 2.0247383177280427, "loss/hidden": 3.434765625, "loss/jsd": 0.0, "loss/logits": 0.19218139182776212, "step": 19760 }, { "epoch": 0.49425, "grad_norm": 6677331968.0, "grad_norm_var": 2.786672612235455e+18, "learning_rate": 0.0001, "loss": 7.3587, "loss/crossentropy": 1.9743504285812379, "loss/hidden": 3.4015625, "loss/jsd": 0.0, "loss/logits": 0.1963216718286276, "step": 19770 }, { "epoch": 0.4945, "grad_norm": 31.25, "grad_norm_var": 2.7866726115468554e+18, "learning_rate": 0.0001, "loss": 7.3528, "loss/crossentropy": 2.065458830446005, "loss/hidden": 3.327734375, "loss/jsd": 0.0, "loss/logits": 0.1823502728715539, "step": 19780 }, { "epoch": 0.49475, "grad_norm": 30.25, "grad_norm_var": 2.9124348958333335, "learning_rate": 0.0001, "loss": 7.3247, "loss/crossentropy": 2.108359482139349, "loss/hidden": 3.42734375, "loss/jsd": 0.0, "loss/logits": 0.2117020718753338, "step": 19790 }, { "epoch": 0.495, "grad_norm": 28.375, "grad_norm_var": 3.7059895833333334, "learning_rate": 0.0001, "loss": 7.3429, "loss/crossentropy": 2.245875895023346, "loss/hidden": 3.28046875, "loss/jsd": 0.0, "loss/logits": 0.1797666964121163, "step": 19800 }, { "epoch": 0.49525, "grad_norm": 33.0, "grad_norm_var": 2.463997395833333, "learning_rate": 0.0001, "loss": 7.3058, "loss/crossentropy": 2.031013163924217, "loss/hidden": 3.34453125, "loss/jsd": 0.0, "loss/logits": 0.17521858643740415, "step": 19810 }, { "epoch": 0.4955, "grad_norm": 29.625, "grad_norm_var": 2.26875, "learning_rate": 0.0001, "loss": 7.2214, "loss/crossentropy": 2.048213458806276, "loss/hidden": 3.441796875, "loss/jsd": 0.0, "loss/logits": 0.1798891793936491, "step": 19820 }, { "epoch": 0.49575, "grad_norm": 30.5, "grad_norm_var": 18.353059895833333, "learning_rate": 0.0001, "loss": 7.3332, "loss/crossentropy": 2.1515459649264814, "loss/hidden": 3.348828125, "loss/jsd": 0.0, "loss/logits": 0.1860925205051899, "step": 19830 }, { "epoch": 0.496, "grad_norm": 29.125, "grad_norm_var": 19.2275390625, "learning_rate": 0.0001, "loss": 7.3004, "loss/crossentropy": 2.1721823632717134, "loss/hidden": 3.360546875, "loss/jsd": 0.0, "loss/logits": 0.19930550809949638, "step": 19840 }, { "epoch": 0.49625, "grad_norm": 30.875, "grad_norm_var": 2.5072265625, "learning_rate": 0.0001, "loss": 7.2698, "loss/crossentropy": 1.9935913749039174, "loss/hidden": 3.378125, "loss/jsd": 0.0, "loss/logits": 0.17680493406951428, "step": 19850 }, { "epoch": 0.4965, "grad_norm": 6945767424.0, "grad_norm_var": 3.015230293460858e+18, "learning_rate": 0.0001, "loss": 7.2426, "loss/crossentropy": 2.069664215296507, "loss/hidden": 3.569921875, "loss/jsd": 0.0, "loss/logits": 0.18678983384743333, "step": 19860 }, { "epoch": 0.49675, "grad_norm": 32.5, "grad_norm_var": 3.015230291984882e+18, "learning_rate": 0.0001, "loss": 7.3594, "loss/crossentropy": 2.0391472943127154, "loss/hidden": 3.392578125, "loss/jsd": 0.0, "loss/logits": 0.18784078639000654, "step": 19870 }, { "epoch": 0.497, "grad_norm": 29.875, "grad_norm_var": 2.3822916666666667, "learning_rate": 0.0001, "loss": 7.2527, "loss/crossentropy": 2.046357312053442, "loss/hidden": 3.335546875, "loss/jsd": 0.0, "loss/logits": 0.17729539722204207, "step": 19880 }, { "epoch": 0.49725, "grad_norm": 30.5, "grad_norm_var": 1.7872395833333334, "learning_rate": 0.0001, "loss": 7.307, "loss/crossentropy": 2.021935646235943, "loss/hidden": 3.46015625, "loss/jsd": 0.0, "loss/logits": 0.20562903992831708, "step": 19890 }, { "epoch": 0.4975, "grad_norm": 31.5, "grad_norm_var": 2.1747395833333334, "learning_rate": 0.0001, "loss": 7.3574, "loss/crossentropy": 2.0218880496919156, "loss/hidden": 3.408203125, "loss/jsd": 0.0, "loss/logits": 0.1812274256721139, "step": 19900 }, { "epoch": 0.49775, "grad_norm": 42.5, "grad_norm_var": 11.66640625, "learning_rate": 0.0001, "loss": 7.2552, "loss/crossentropy": 2.1163423866033555, "loss/hidden": 3.3015625, "loss/jsd": 0.0, "loss/logits": 0.18092286475002767, "step": 19910 }, { "epoch": 0.498, "grad_norm": 31.0, "grad_norm_var": 13.023893229166667, "learning_rate": 0.0001, "loss": 7.4151, "loss/crossentropy": 2.25559261739254, "loss/hidden": 3.35625, "loss/jsd": 0.0, "loss/logits": 0.19431090019643307, "step": 19920 }, { "epoch": 0.49825, "grad_norm": 34.0, "grad_norm_var": 9.103059895833333, "learning_rate": 0.0001, "loss": 7.33, "loss/crossentropy": 2.1288936853408815, "loss/hidden": 3.2796875, "loss/jsd": 0.0, "loss/logits": 0.185909984074533, "step": 19930 }, { "epoch": 0.4985, "grad_norm": 30.625, "grad_norm_var": 2.645768229166667, "learning_rate": 0.0001, "loss": 7.3463, "loss/crossentropy": 2.1082677975296975, "loss/hidden": 3.3359375, "loss/jsd": 0.0, "loss/logits": 0.18483771663159132, "step": 19940 }, { "epoch": 0.49875, "grad_norm": 29.625, "grad_norm_var": 1.3114583333333334, "learning_rate": 0.0001, "loss": 7.3146, "loss/crossentropy": 2.047964480519295, "loss/hidden": 3.337109375, "loss/jsd": 0.0, "loss/logits": 0.18684354815632104, "step": 19950 }, { "epoch": 0.499, "grad_norm": 30.25, "grad_norm_var": 7.695833333333334, "learning_rate": 0.0001, "loss": 7.1954, "loss/crossentropy": 2.0788462795317173, "loss/hidden": 3.319140625, "loss/jsd": 0.0, "loss/logits": 0.18402842283248902, "step": 19960 }, { "epoch": 0.49925, "grad_norm": 31.375, "grad_norm_var": 7.2056640625, "learning_rate": 0.0001, "loss": 7.3153, "loss/crossentropy": 1.910679142177105, "loss/hidden": 3.321875, "loss/jsd": 0.0, "loss/logits": 0.16827462129294873, "step": 19970 }, { "epoch": 0.4995, "grad_norm": 31.5, "grad_norm_var": 2.7434895833333335, "learning_rate": 0.0001, "loss": 7.2924, "loss/crossentropy": 2.133229525387287, "loss/hidden": 3.323046875, "loss/jsd": 0.0, "loss/logits": 0.18238822668790816, "step": 19980 }, { "epoch": 0.49975, "grad_norm": 32.0, "grad_norm_var": 2.7212890625, "learning_rate": 0.0001, "loss": 7.3936, "loss/crossentropy": 2.1271730199456216, "loss/hidden": 3.351171875, "loss/jsd": 0.0, "loss/logits": 0.19191278666257858, "step": 19990 }, { "epoch": 0.5, "grad_norm": 31.125, "grad_norm_var": 3.5551432291666667, "learning_rate": 0.0001, "loss": 7.2894, "loss/crossentropy": 2.0791160173714163, "loss/hidden": 3.356640625, "loss/jsd": 0.0, "loss/logits": 0.1787281386554241, "step": 20000 }, { "epoch": 0.50025, "grad_norm": 30.125, "grad_norm_var": 4.286393229166666, "learning_rate": 0.0001, "loss": 7.3934, "loss/crossentropy": 2.100822980701923, "loss/hidden": 3.31640625, "loss/jsd": 0.0, "loss/logits": 0.1837709965184331, "step": 20010 }, { "epoch": 0.5005, "grad_norm": 27.0, "grad_norm_var": 6.8275390625, "learning_rate": 0.0001, "loss": 7.2903, "loss/crossentropy": 2.0603928424417974, "loss/hidden": 3.3328125, "loss/jsd": 0.0, "loss/logits": 0.18236217414960265, "step": 20020 }, { "epoch": 0.50075, "grad_norm": 31.125, "grad_norm_var": 5.8509765625, "learning_rate": 0.0001, "loss": 7.2986, "loss/crossentropy": 2.0794493168592454, "loss/hidden": 3.341796875, "loss/jsd": 0.0, "loss/logits": 0.17758788168430328, "step": 20030 }, { "epoch": 0.501, "grad_norm": 31.5, "grad_norm_var": 2.5884765625, "learning_rate": 0.0001, "loss": 7.3217, "loss/crossentropy": 2.180893415212631, "loss/hidden": 3.390625, "loss/jsd": 0.0, "loss/logits": 0.19812680166214705, "step": 20040 }, { "epoch": 0.50125, "grad_norm": 29.25, "grad_norm_var": 2.2718098958333335, "learning_rate": 0.0001, "loss": 7.2937, "loss/crossentropy": 2.0710356786847113, "loss/hidden": 3.359375, "loss/jsd": 0.0, "loss/logits": 0.18272985238581896, "step": 20050 }, { "epoch": 0.5015, "grad_norm": 32.5, "grad_norm_var": 3.61015625, "learning_rate": 0.0001, "loss": 7.3658, "loss/crossentropy": 2.2894588097929955, "loss/hidden": 3.30859375, "loss/jsd": 0.0, "loss/logits": 0.19785721227526665, "step": 20060 }, { "epoch": 0.50175, "grad_norm": 33.0, "grad_norm_var": 6.8572265625, "learning_rate": 0.0001, "loss": 7.3323, "loss/crossentropy": 1.9864086501300335, "loss/hidden": 3.41015625, "loss/jsd": 0.0, "loss/logits": 0.18656586892902852, "step": 20070 }, { "epoch": 0.502, "grad_norm": 28.875, "grad_norm_var": 3.0302083333333334, "learning_rate": 0.0001, "loss": 7.2853, "loss/crossentropy": 2.08188853263855, "loss/hidden": 3.347265625, "loss/jsd": 0.0, "loss/logits": 0.1811662282794714, "step": 20080 }, { "epoch": 0.50225, "grad_norm": 28.75, "grad_norm_var": 2.2728515625, "learning_rate": 0.0001, "loss": 7.1962, "loss/crossentropy": 2.175425173342228, "loss/hidden": 3.341796875, "loss/jsd": 0.0, "loss/logits": 0.18717424534261226, "step": 20090 }, { "epoch": 0.5025, "grad_norm": 31.875, "grad_norm_var": 2.0770833333333334, "learning_rate": 0.0001, "loss": 7.2638, "loss/crossentropy": 2.1691887110471724, "loss/hidden": 3.36875, "loss/jsd": 0.0, "loss/logits": 0.19185122177004815, "step": 20100 }, { "epoch": 0.50275, "grad_norm": 29.75, "grad_norm_var": 2.1285807291666665, "learning_rate": 0.0001, "loss": 7.2232, "loss/crossentropy": 2.2031719744205476, "loss/hidden": 3.280859375, "loss/jsd": 0.0, "loss/logits": 0.18911925759166479, "step": 20110 }, { "epoch": 0.503, "grad_norm": 29.75, "grad_norm_var": 1.6791015625, "learning_rate": 0.0001, "loss": 7.344, "loss/crossentropy": 1.9854541048407555, "loss/hidden": 3.321484375, "loss/jsd": 0.0, "loss/logits": 0.17294510118663312, "step": 20120 }, { "epoch": 0.50325, "grad_norm": 29.25, "grad_norm_var": 1.9504557291666667, "learning_rate": 0.0001, "loss": 7.291, "loss/crossentropy": 2.098982587456703, "loss/hidden": 3.283203125, "loss/jsd": 0.0, "loss/logits": 0.18347709700465203, "step": 20130 }, { "epoch": 0.5035, "grad_norm": 28.5, "grad_norm_var": 8.94765625, "learning_rate": 0.0001, "loss": 7.3558, "loss/crossentropy": 2.0379406858235596, "loss/hidden": 3.4921875, "loss/jsd": 0.0, "loss/logits": 0.20050731115043163, "step": 20140 }, { "epoch": 0.50375, "grad_norm": 29.0, "grad_norm_var": 10.076822916666666, "learning_rate": 0.0001, "loss": 7.4874, "loss/crossentropy": 2.1478746205568315, "loss/hidden": 3.316796875, "loss/jsd": 0.0, "loss/logits": 0.19442609827965499, "step": 20150 }, { "epoch": 0.504, "grad_norm": 29.125, "grad_norm_var": 18.79765625, "learning_rate": 0.0001, "loss": 7.2431, "loss/crossentropy": 2.0215858951210977, "loss/hidden": 3.337109375, "loss/jsd": 0.0, "loss/logits": 0.1762773571535945, "step": 20160 }, { "epoch": 0.50425, "grad_norm": 31.75, "grad_norm_var": 19.851041666666667, "learning_rate": 0.0001, "loss": 7.2569, "loss/crossentropy": 2.053553320467472, "loss/hidden": 3.369921875, "loss/jsd": 0.0, "loss/logits": 0.18032009098678828, "step": 20170 }, { "epoch": 0.5045, "grad_norm": 31.125, "grad_norm_var": 1.47265625, "learning_rate": 0.0001, "loss": 7.3017, "loss/crossentropy": 2.1755366683006288, "loss/hidden": 3.36015625, "loss/jsd": 0.0, "loss/logits": 0.19120553210377694, "step": 20180 }, { "epoch": 0.50475, "grad_norm": 30.375, "grad_norm_var": 2.2145182291666665, "learning_rate": 0.0001, "loss": 7.2499, "loss/crossentropy": 2.0905803576111794, "loss/hidden": 3.333984375, "loss/jsd": 0.0, "loss/logits": 0.18027825355529786, "step": 20190 }, { "epoch": 0.505, "grad_norm": 31.75, "grad_norm_var": 2.0837890625, "learning_rate": 0.0001, "loss": 7.3299, "loss/crossentropy": 2.1392801135778425, "loss/hidden": 3.40234375, "loss/jsd": 0.0, "loss/logits": 0.18984563760459422, "step": 20200 }, { "epoch": 0.50525, "grad_norm": 32.25, "grad_norm_var": 1.7705729166666666, "learning_rate": 0.0001, "loss": 7.3683, "loss/crossentropy": 1.9904960945248604, "loss/hidden": 3.34765625, "loss/jsd": 0.0, "loss/logits": 0.19267166014760734, "step": 20210 }, { "epoch": 0.5055, "grad_norm": 29.375, "grad_norm_var": 1.4369140625, "learning_rate": 0.0001, "loss": 7.4132, "loss/crossentropy": 2.118674224615097, "loss/hidden": 3.265625, "loss/jsd": 0.0, "loss/logits": 0.18962926007807254, "step": 20220 }, { "epoch": 0.50575, "grad_norm": 31.125, "grad_norm_var": 1.5275390625, "learning_rate": 0.0001, "loss": 7.2848, "loss/crossentropy": 2.042106767743826, "loss/hidden": 3.420703125, "loss/jsd": 0.0, "loss/logits": 0.1888286828994751, "step": 20230 }, { "epoch": 0.506, "grad_norm": 43.5, "grad_norm_var": 11.646875, "learning_rate": 0.0001, "loss": 7.3466, "loss/crossentropy": 2.01454746350646, "loss/hidden": 3.33984375, "loss/jsd": 0.0, "loss/logits": 0.17999137863516806, "step": 20240 }, { "epoch": 0.50625, "grad_norm": 30.625, "grad_norm_var": 16.970572916666665, "learning_rate": 0.0001, "loss": 7.3463, "loss/crossentropy": 2.0871743500232696, "loss/hidden": 3.298046875, "loss/jsd": 0.0, "loss/logits": 0.18978464882820845, "step": 20250 }, { "epoch": 0.5065, "grad_norm": 29.75, "grad_norm_var": 23.7556640625, "learning_rate": 0.0001, "loss": 7.3989, "loss/crossentropy": 2.0043682172894477, "loss/hidden": 3.397265625, "loss/jsd": 0.0, "loss/logits": 0.20130981262773276, "step": 20260 }, { "epoch": 0.50675, "grad_norm": 32.75, "grad_norm_var": 2.066666666666667, "learning_rate": 0.0001, "loss": 7.3753, "loss/crossentropy": 2.0674937814474106, "loss/hidden": 3.43046875, "loss/jsd": 0.0, "loss/logits": 0.1961617423221469, "step": 20270 }, { "epoch": 0.507, "grad_norm": 29.375, "grad_norm_var": 2.8934895833333334, "learning_rate": 0.0001, "loss": 7.2008, "loss/crossentropy": 2.1054218977689745, "loss/hidden": 3.321875, "loss/jsd": 0.0, "loss/logits": 0.1805409086868167, "step": 20280 }, { "epoch": 0.50725, "grad_norm": 31.75, "grad_norm_var": 2.3395182291666665, "learning_rate": 0.0001, "loss": 7.3738, "loss/crossentropy": 2.1355152033269404, "loss/hidden": 3.37578125, "loss/jsd": 0.0, "loss/logits": 0.18312898697331548, "step": 20290 }, { "epoch": 0.5075, "grad_norm": 44.5, "grad_norm_var": 14.501041666666667, "learning_rate": 0.0001, "loss": 7.3439, "loss/crossentropy": 1.953713247179985, "loss/hidden": 3.387109375, "loss/jsd": 0.0, "loss/logits": 0.16738616386428476, "step": 20300 }, { "epoch": 0.50775, "grad_norm": 30.0, "grad_norm_var": 13.852083333333333, "learning_rate": 0.0001, "loss": 7.3785, "loss/crossentropy": 2.1630780398845673, "loss/hidden": 3.328515625, "loss/jsd": 0.0, "loss/logits": 0.18321501482278107, "step": 20310 }, { "epoch": 0.508, "grad_norm": 35.25, "grad_norm_var": 3.4587890625, "learning_rate": 0.0001, "loss": 7.3335, "loss/crossentropy": 1.973591250926256, "loss/hidden": 3.419140625, "loss/jsd": 0.0, "loss/logits": 0.1923765016719699, "step": 20320 }, { "epoch": 0.50825, "grad_norm": 30.75, "grad_norm_var": 2.640625, "learning_rate": 0.0001, "loss": 7.2324, "loss/crossentropy": 1.98987924605608, "loss/hidden": 3.362109375, "loss/jsd": 0.0, "loss/logits": 0.18974843434989452, "step": 20330 }, { "epoch": 0.5085, "grad_norm": 28.75, "grad_norm_var": 6.96875, "learning_rate": 0.0001, "loss": 7.3109, "loss/crossentropy": 2.277467969059944, "loss/hidden": 3.317578125, "loss/jsd": 0.0, "loss/logits": 0.19834709204733372, "step": 20340 }, { "epoch": 0.50875, "grad_norm": 29.625, "grad_norm_var": 11.067122395833334, "learning_rate": 0.0001, "loss": 7.2231, "loss/crossentropy": 1.959492462873459, "loss/hidden": 3.41796875, "loss/jsd": 0.0, "loss/logits": 0.1740871286019683, "step": 20350 }, { "epoch": 0.509, "grad_norm": 38.0, "grad_norm_var": 8.055989583333334, "learning_rate": 0.0001, "loss": 7.3223, "loss/crossentropy": 2.1561495400965214, "loss/hidden": 3.3921875, "loss/jsd": 0.0, "loss/logits": 0.18467604517936706, "step": 20360 }, { "epoch": 0.50925, "grad_norm": 36.25, "grad_norm_var": 6.133333333333334, "learning_rate": 0.0001, "loss": 7.3836, "loss/crossentropy": 2.0499372258782387, "loss/hidden": 3.3078125, "loss/jsd": 0.0, "loss/logits": 0.17811761405318977, "step": 20370 }, { "epoch": 0.5095, "grad_norm": 36.75, "grad_norm_var": 6.571809895833334, "learning_rate": 0.0001, "loss": 7.3418, "loss/crossentropy": 2.0755091689527037, "loss/hidden": 3.536328125, "loss/jsd": 0.0, "loss/logits": 0.2004254411906004, "step": 20380 }, { "epoch": 0.50975, "grad_norm": 31.125, "grad_norm_var": 2.4083702435510134e+18, "learning_rate": 0.0001, "loss": 7.4065, "loss/crossentropy": 2.1109745904803274, "loss/hidden": 3.345703125, "loss/jsd": 0.0, "loss/logits": 0.18784465081989765, "step": 20390 }, { "epoch": 0.51, "grad_norm": 34.25, "grad_norm_var": 2.408370242716871e+18, "learning_rate": 0.0001, "loss": 7.3957, "loss/crossentropy": 2.204335790872574, "loss/hidden": 3.301171875, "loss/jsd": 0.0, "loss/logits": 0.1780173137784004, "step": 20400 }, { "epoch": 0.51025, "grad_norm": 32.0, "grad_norm_var": 41.43723958333333, "learning_rate": 0.0001, "loss": 7.1806, "loss/crossentropy": 1.9774738259613514, "loss/hidden": 3.417578125, "loss/jsd": 0.0, "loss/logits": 0.18556309957057238, "step": 20410 }, { "epoch": 0.5105, "grad_norm": 27.625, "grad_norm_var": 65.22473958333333, "learning_rate": 0.0001, "loss": 7.3462, "loss/crossentropy": 2.167100024223328, "loss/hidden": 3.36875, "loss/jsd": 0.0, "loss/logits": 0.18838558737188577, "step": 20420 }, { "epoch": 0.51075, "grad_norm": 28.375, "grad_norm_var": 36.87291666666667, "learning_rate": 0.0001, "loss": 7.3272, "loss/crossentropy": 2.005172957479954, "loss/hidden": 3.358203125, "loss/jsd": 0.0, "loss/logits": 0.19127585394307972, "step": 20430 }, { "epoch": 0.511, "grad_norm": 30.25, "grad_norm_var": 37.78125, "learning_rate": 0.0001, "loss": 7.226, "loss/crossentropy": 2.063726345449686, "loss/hidden": 3.424609375, "loss/jsd": 0.0, "loss/logits": 0.19834220120683313, "step": 20440 }, { "epoch": 0.51125, "grad_norm": 35.0, "grad_norm_var": 12.229166666666666, "learning_rate": 0.0001, "loss": 7.2767, "loss/crossentropy": 2.0135110549628736, "loss/hidden": 3.295703125, "loss/jsd": 0.0, "loss/logits": 0.17450594212859868, "step": 20450 }, { "epoch": 0.5115, "grad_norm": 31.875, "grad_norm_var": 7.4228515625, "learning_rate": 0.0001, "loss": 7.3327, "loss/crossentropy": 2.102003552019596, "loss/hidden": 3.386328125, "loss/jsd": 0.0, "loss/logits": 0.19359097983688117, "step": 20460 }, { "epoch": 0.51175, "grad_norm": 33.0, "grad_norm_var": 5.968684895833333, "learning_rate": 0.0001, "loss": 7.3575, "loss/crossentropy": 2.117770975828171, "loss/hidden": 3.346875, "loss/jsd": 0.0, "loss/logits": 0.20843392983078957, "step": 20470 }, { "epoch": 0.512, "grad_norm": 28.625, "grad_norm_var": 3.80390625, "learning_rate": 0.0001, "loss": 7.294, "loss/crossentropy": 2.048271709680557, "loss/hidden": 3.3421875, "loss/jsd": 0.0, "loss/logits": 0.19015705585479736, "step": 20480 }, { "epoch": 0.51225, "grad_norm": 27.625, "grad_norm_var": 4.162955729166667, "learning_rate": 0.0001, "loss": 7.2999, "loss/crossentropy": 2.2269428968429565, "loss/hidden": 3.34921875, "loss/jsd": 0.0, "loss/logits": 0.18866086583584546, "step": 20490 }, { "epoch": 0.5125, "grad_norm": 30.5, "grad_norm_var": 6.625455729166666, "learning_rate": 0.0001, "loss": 7.2051, "loss/crossentropy": 2.077080491185188, "loss/hidden": 3.29921875, "loss/jsd": 0.0, "loss/logits": 0.18723124526441098, "step": 20500 }, { "epoch": 0.51275, "grad_norm": 31.125, "grad_norm_var": 2.943489583333333, "learning_rate": 0.0001, "loss": 7.3489, "loss/crossentropy": 1.9472593426704408, "loss/hidden": 3.421484375, "loss/jsd": 0.0, "loss/logits": 0.18634757827967405, "step": 20510 }, { "epoch": 0.513, "grad_norm": 29.875, "grad_norm_var": 4.5431640625, "learning_rate": 0.0001, "loss": 7.2731, "loss/crossentropy": 2.0889667838811876, "loss/hidden": 3.283203125, "loss/jsd": 0.0, "loss/logits": 0.17469800189137458, "step": 20520 }, { "epoch": 0.51325, "grad_norm": 31.375, "grad_norm_var": 3.168684895833333, "learning_rate": 0.0001, "loss": 7.3807, "loss/crossentropy": 2.1357873290777207, "loss/hidden": 3.406640625, "loss/jsd": 0.0, "loss/logits": 0.19474379923194646, "step": 20530 }, { "epoch": 0.5135, "grad_norm": 28.625, "grad_norm_var": 3.7177083333333334, "learning_rate": 0.0001, "loss": 7.3564, "loss/crossentropy": 2.1814554005861284, "loss/hidden": 3.387109375, "loss/jsd": 0.0, "loss/logits": 0.19765354953706266, "step": 20540 }, { "epoch": 0.51375, "grad_norm": 29.5, "grad_norm_var": 7.0916015625, "learning_rate": 0.0001, "loss": 7.3209, "loss/crossentropy": 1.9481236249208451, "loss/hidden": 3.366796875, "loss/jsd": 0.0, "loss/logits": 0.17467648405581712, "step": 20550 }, { "epoch": 0.514, "grad_norm": 28.875, "grad_norm_var": 2.842643229166667, "learning_rate": 0.0001, "loss": 7.2827, "loss/crossentropy": 1.9511701211333274, "loss/hidden": 3.479296875, "loss/jsd": 0.0, "loss/logits": 0.17900633215904235, "step": 20560 }, { "epoch": 0.51425, "grad_norm": 30.0, "grad_norm_var": 2.1205729166666667, "learning_rate": 0.0001, "loss": 7.3626, "loss/crossentropy": 1.947856567800045, "loss/hidden": 3.38984375, "loss/jsd": 0.0, "loss/logits": 0.1868027526885271, "step": 20570 }, { "epoch": 0.5145, "grad_norm": 28.625, "grad_norm_var": 19.1875, "learning_rate": 0.0001, "loss": 7.2629, "loss/crossentropy": 2.0266165107488634, "loss/hidden": 3.3359375, "loss/jsd": 0.0, "loss/logits": 0.17448003627359868, "step": 20580 }, { "epoch": 0.51475, "grad_norm": 30.0, "grad_norm_var": 0.7046223958333333, "learning_rate": 0.0001, "loss": 7.2807, "loss/crossentropy": 2.015270346403122, "loss/hidden": 3.383203125, "loss/jsd": 0.0, "loss/logits": 0.18326627276837826, "step": 20590 }, { "epoch": 0.515, "grad_norm": 31.875, "grad_norm_var": 5.234309895833333, "learning_rate": 0.0001, "loss": 7.3668, "loss/crossentropy": 2.034985066950321, "loss/hidden": 3.3265625, "loss/jsd": 0.0, "loss/logits": 0.17759786024689675, "step": 20600 }, { "epoch": 0.51525, "grad_norm": 30.5, "grad_norm_var": 6.9494140625, "learning_rate": 0.0001, "loss": 7.3519, "loss/crossentropy": 2.0228724449872972, "loss/hidden": 3.31328125, "loss/jsd": 0.0, "loss/logits": 0.18106682635843754, "step": 20610 }, { "epoch": 0.5155, "grad_norm": 48.0, "grad_norm_var": 41.123958333333334, "learning_rate": 0.0001, "loss": 7.4442, "loss/crossentropy": 1.99410739839077, "loss/hidden": 3.528515625, "loss/jsd": 0.0, "loss/logits": 0.18867430798709392, "step": 20620 }, { "epoch": 0.51575, "grad_norm": 31.0, "grad_norm_var": 112.25807291666666, "learning_rate": 0.0001, "loss": 7.3746, "loss/crossentropy": 2.063592994213104, "loss/hidden": 3.43671875, "loss/jsd": 0.0, "loss/logits": 0.20251007843762636, "step": 20630 }, { "epoch": 0.516, "grad_norm": 30.5, "grad_norm_var": 3.1122395833333334, "learning_rate": 0.0001, "loss": 7.3186, "loss/crossentropy": 2.1162465453147887, "loss/hidden": 3.2609375, "loss/jsd": 0.0, "loss/logits": 0.1863781152293086, "step": 20640 }, { "epoch": 0.51625, "grad_norm": 29.375, "grad_norm_var": 11.701041666666667, "learning_rate": 0.0001, "loss": 7.303, "loss/crossentropy": 1.9705959290266037, "loss/hidden": 3.4875, "loss/jsd": 0.0, "loss/logits": 0.189107047021389, "step": 20650 }, { "epoch": 0.5165, "grad_norm": 42.5, "grad_norm_var": 25.134830729166666, "learning_rate": 0.0001, "loss": 7.2953, "loss/crossentropy": 2.04353059977293, "loss/hidden": 3.3453125, "loss/jsd": 0.0, "loss/logits": 0.18167578242719173, "step": 20660 }, { "epoch": 0.51675, "grad_norm": 63.25, "grad_norm_var": 90.03483072916667, "learning_rate": 0.0001, "loss": 7.1868, "loss/crossentropy": 1.9600037515163422, "loss/hidden": 3.330859375, "loss/jsd": 0.0, "loss/logits": 0.1769449569284916, "step": 20670 }, { "epoch": 0.517, "grad_norm": 28.75, "grad_norm_var": 73.69264322916666, "learning_rate": 0.0001, "loss": 7.3364, "loss/crossentropy": 2.235697329044342, "loss/hidden": 3.41796875, "loss/jsd": 0.0, "loss/logits": 0.19675933755934238, "step": 20680 }, { "epoch": 0.51725, "grad_norm": 60.0, "grad_norm_var": 67.38951822916667, "learning_rate": 0.0001, "loss": 7.2911, "loss/crossentropy": 2.047742946445942, "loss/hidden": 3.398828125, "loss/jsd": 0.0, "loss/logits": 0.1932275788858533, "step": 20690 }, { "epoch": 0.5175, "grad_norm": 30.875, "grad_norm_var": 66.7978515625, "learning_rate": 0.0001, "loss": 7.369, "loss/crossentropy": 2.1426502510905268, "loss/hidden": 3.38671875, "loss/jsd": 0.0, "loss/logits": 0.19659061841666697, "step": 20700 }, { "epoch": 0.51775, "grad_norm": 30.375, "grad_norm_var": 2.9848307291666667, "learning_rate": 0.0001, "loss": 7.3526, "loss/crossentropy": 2.0521486185491087, "loss/hidden": 3.31484375, "loss/jsd": 0.0, "loss/logits": 0.18707139398902656, "step": 20710 }, { "epoch": 0.518, "grad_norm": 30.5, "grad_norm_var": 16.7634765625, "learning_rate": 0.0001, "loss": 7.363, "loss/crossentropy": 2.0975049562752246, "loss/hidden": 3.338671875, "loss/jsd": 0.0, "loss/logits": 0.190740005671978, "step": 20720 }, { "epoch": 0.51825, "grad_norm": 34.5, "grad_norm_var": 27.069205729166665, "learning_rate": 0.0001, "loss": 7.3643, "loss/crossentropy": 2.1847240805625914, "loss/hidden": 3.42265625, "loss/jsd": 0.0, "loss/logits": 0.20393175166100264, "step": 20730 }, { "epoch": 0.5185, "grad_norm": 28.5, "grad_norm_var": 28.865625, "learning_rate": 0.0001, "loss": 7.3442, "loss/crossentropy": 2.079416597634554, "loss/hidden": 3.362890625, "loss/jsd": 0.0, "loss/logits": 0.18700419086962938, "step": 20740 }, { "epoch": 0.51875, "grad_norm": 30.0, "grad_norm_var": 5.898893229166666, "learning_rate": 0.0001, "loss": 7.2968, "loss/crossentropy": 2.099186307191849, "loss/hidden": 3.409375, "loss/jsd": 0.0, "loss/logits": 0.19339050203561783, "step": 20750 }, { "epoch": 0.519, "grad_norm": 33.5, "grad_norm_var": 7.76640625, "learning_rate": 0.0001, "loss": 7.2292, "loss/crossentropy": 1.9471840865910053, "loss/hidden": 3.357421875, "loss/jsd": 0.0, "loss/logits": 0.18490714272484182, "step": 20760 }, { "epoch": 0.51925, "grad_norm": 30.625, "grad_norm_var": 3.6176432291666667, "learning_rate": 0.0001, "loss": 7.2505, "loss/crossentropy": 1.9791502140462398, "loss/hidden": 3.315625, "loss/jsd": 0.0, "loss/logits": 0.1867075043730438, "step": 20770 }, { "epoch": 0.5195, "grad_norm": 28.25, "grad_norm_var": 1.8843098958333333, "learning_rate": 0.0001, "loss": 7.2881, "loss/crossentropy": 2.228019216656685, "loss/hidden": 3.33828125, "loss/jsd": 0.0, "loss/logits": 0.19135302156209946, "step": 20780 }, { "epoch": 0.51975, "grad_norm": 29.375, "grad_norm_var": 1.9684895833333333, "learning_rate": 0.0001, "loss": 7.2552, "loss/crossentropy": 2.0987790375947952, "loss/hidden": 3.3421875, "loss/jsd": 0.0, "loss/logits": 0.17536395322531462, "step": 20790 }, { "epoch": 0.52, "grad_norm": 30.375, "grad_norm_var": 1.2309895833333333, "learning_rate": 0.0001, "loss": 7.3921, "loss/crossentropy": 2.0298918724060058, "loss/hidden": 3.38359375, "loss/jsd": 0.0, "loss/logits": 0.1898334242403507, "step": 20800 }, { "epoch": 0.52025, "grad_norm": 28.875, "grad_norm_var": 1.5083333333333333, "learning_rate": 0.0001, "loss": 7.234, "loss/crossentropy": 1.9918959826231002, "loss/hidden": 3.3140625, "loss/jsd": 0.0, "loss/logits": 0.18577282279729843, "step": 20810 }, { "epoch": 0.5205, "grad_norm": 34.25, "grad_norm_var": 3.3785807291666665, "learning_rate": 0.0001, "loss": 7.3487, "loss/crossentropy": 2.0936102479696275, "loss/hidden": 3.356640625, "loss/jsd": 0.0, "loss/logits": 0.19174492321908473, "step": 20820 }, { "epoch": 0.52075, "grad_norm": 37.75, "grad_norm_var": 1.9157890389214495e+18, "learning_rate": 0.0001, "loss": 7.2159, "loss/crossentropy": 1.8458645723760128, "loss/hidden": 3.384375, "loss/jsd": 0.0, "loss/logits": 0.1738974804058671, "step": 20830 }, { "epoch": 0.521, "grad_norm": 31.0, "grad_norm_var": 1.9157890383966372e+18, "learning_rate": 0.0001, "loss": 7.2727, "loss/crossentropy": 1.9869740903377533, "loss/hidden": 3.324609375, "loss/jsd": 0.0, "loss/logits": 0.19819957707077265, "step": 20840 }, { "epoch": 0.52125, "grad_norm": 31.75, "grad_norm_var": 2.275, "learning_rate": 0.0001, "loss": 7.2681, "loss/crossentropy": 2.0040796995162964, "loss/hidden": 3.374609375, "loss/jsd": 0.0, "loss/logits": 0.18156437613070012, "step": 20850 }, { "epoch": 0.5215, "grad_norm": 29.375, "grad_norm_var": 4.849934895833333, "learning_rate": 0.0001, "loss": 7.3494, "loss/crossentropy": 2.165298455953598, "loss/hidden": 3.26796875, "loss/jsd": 0.0, "loss/logits": 0.18115576189011334, "step": 20860 }, { "epoch": 0.52175, "grad_norm": 30.25, "grad_norm_var": 3.8848307291666666, "learning_rate": 0.0001, "loss": 7.3202, "loss/crossentropy": 2.100299298763275, "loss/hidden": 3.37421875, "loss/jsd": 0.0, "loss/logits": 0.19552922286093236, "step": 20870 }, { "epoch": 0.522, "grad_norm": 31.625, "grad_norm_var": 2.60390625, "learning_rate": 0.0001, "loss": 7.2684, "loss/crossentropy": 2.022940080612898, "loss/hidden": 3.255859375, "loss/jsd": 0.0, "loss/logits": 0.1667741946876049, "step": 20880 }, { "epoch": 0.52225, "grad_norm": 55.25, "grad_norm_var": 40.665625, "learning_rate": 0.0001, "loss": 7.2855, "loss/crossentropy": 2.102290881425142, "loss/hidden": 3.313671875, "loss/jsd": 0.0, "loss/logits": 0.1791887005791068, "step": 20890 }, { "epoch": 0.5225, "grad_norm": 30.375, "grad_norm_var": 44.436458333333334, "learning_rate": 0.0001, "loss": 7.1947, "loss/crossentropy": 1.8682746514678001, "loss/hidden": 3.37109375, "loss/jsd": 0.0, "loss/logits": 0.18195230644196272, "step": 20900 }, { "epoch": 0.52275, "grad_norm": 32.0, "grad_norm_var": 2.5416015625, "learning_rate": 0.0001, "loss": 7.3462, "loss/crossentropy": 2.0893214523792265, "loss/hidden": 3.37734375, "loss/jsd": 0.0, "loss/logits": 0.19191989079117774, "step": 20910 }, { "epoch": 0.523, "grad_norm": 31.375, "grad_norm_var": 2.3520182291666667, "learning_rate": 0.0001, "loss": 7.347, "loss/crossentropy": 2.0877039656043053, "loss/hidden": 3.3640625, "loss/jsd": 0.0, "loss/logits": 0.1851141469553113, "step": 20920 }, { "epoch": 0.52325, "grad_norm": 28.0, "grad_norm_var": 2.8997395833333335, "learning_rate": 0.0001, "loss": 7.2357, "loss/crossentropy": 2.1176202185451984, "loss/hidden": 3.404296875, "loss/jsd": 0.0, "loss/logits": 0.19145621228963136, "step": 20930 }, { "epoch": 0.5235, "grad_norm": 30.75, "grad_norm_var": 3.2186848958333334, "learning_rate": 0.0001, "loss": 7.2674, "loss/crossentropy": 2.0402719154953957, "loss/hidden": 3.371875, "loss/jsd": 0.0, "loss/logits": 0.1739909777417779, "step": 20940 }, { "epoch": 0.52375, "grad_norm": 29.5, "grad_norm_var": 3.0759765625, "learning_rate": 0.0001, "loss": 7.3178, "loss/crossentropy": 2.030729368329048, "loss/hidden": 3.30859375, "loss/jsd": 0.0, "loss/logits": 0.1842687962576747, "step": 20950 }, { "epoch": 0.524, "grad_norm": 32.25, "grad_norm_var": 3.3958333333333335, "learning_rate": 0.0001, "loss": 7.3384, "loss/crossentropy": 2.0869288608431815, "loss/hidden": 3.352734375, "loss/jsd": 0.0, "loss/logits": 0.18400898948311806, "step": 20960 }, { "epoch": 0.52425, "grad_norm": 33.0, "grad_norm_var": 2.9067057291666667, "learning_rate": 0.0001, "loss": 7.4186, "loss/crossentropy": 2.11807075291872, "loss/hidden": 3.391796875, "loss/jsd": 0.0, "loss/logits": 0.18031747452914715, "step": 20970 }, { "epoch": 0.5245, "grad_norm": 29.75, "grad_norm_var": 6.5244140625, "learning_rate": 0.0001, "loss": 7.2164, "loss/crossentropy": 1.9718056872487069, "loss/hidden": 3.26640625, "loss/jsd": 0.0, "loss/logits": 0.17341692205518483, "step": 20980 }, { "epoch": 0.52475, "grad_norm": 30.625, "grad_norm_var": 6.382747395833333, "learning_rate": 0.0001, "loss": 7.3702, "loss/crossentropy": 2.0978681847453116, "loss/hidden": 3.321484375, "loss/jsd": 0.0, "loss/logits": 0.17709601484239101, "step": 20990 }, { "epoch": 0.525, "grad_norm": 31.5, "grad_norm_var": 9.713997395833333, "learning_rate": 0.0001, "loss": 7.3043, "loss/crossentropy": 2.034855252504349, "loss/hidden": 3.491796875, "loss/jsd": 0.0, "loss/logits": 0.1906108744442463, "step": 21000 }, { "epoch": 0.52525, "grad_norm": 28.625, "grad_norm_var": 13.075455729166666, "learning_rate": 0.0001, "loss": 7.4447, "loss/crossentropy": 2.2921934738755225, "loss/hidden": 3.3359375, "loss/jsd": 0.0, "loss/logits": 0.1889318484812975, "step": 21010 }, { "epoch": 0.5255, "grad_norm": 29.5, "grad_norm_var": 6.339322916666666, "learning_rate": 0.0001, "loss": 7.2976, "loss/crossentropy": 1.8201854094862937, "loss/hidden": 3.4828125, "loss/jsd": 0.0, "loss/logits": 0.18457184694707393, "step": 21020 }, { "epoch": 0.52575, "grad_norm": 28.875, "grad_norm_var": 29.380989583333335, "learning_rate": 0.0001, "loss": 7.3322, "loss/crossentropy": 2.131899508088827, "loss/hidden": 3.43515625, "loss/jsd": 0.0, "loss/logits": 0.2020415196195245, "step": 21030 }, { "epoch": 0.526, "grad_norm": 31.875, "grad_norm_var": 41.7431640625, "learning_rate": 0.0001, "loss": 7.2982, "loss/crossentropy": 1.802038711309433, "loss/hidden": 3.43203125, "loss/jsd": 0.0, "loss/logits": 0.1719184698536992, "step": 21040 }, { "epoch": 0.52625, "grad_norm": 29.125, "grad_norm_var": 2.9468098958333333, "learning_rate": 0.0001, "loss": 7.2365, "loss/crossentropy": 1.9720843493938447, "loss/hidden": 3.38046875, "loss/jsd": 0.0, "loss/logits": 0.18162036091089248, "step": 21050 }, { "epoch": 0.5265, "grad_norm": 29.625, "grad_norm_var": 8.392708333333333, "learning_rate": 0.0001, "loss": 7.2629, "loss/crossentropy": 2.101500564068556, "loss/hidden": 3.3046875, "loss/jsd": 0.0, "loss/logits": 0.18104594042524697, "step": 21060 }, { "epoch": 0.52675, "grad_norm": 31.75, "grad_norm_var": 12.012239583333333, "learning_rate": 0.0001, "loss": 7.4139, "loss/crossentropy": 2.192843732237816, "loss/hidden": 3.43671875, "loss/jsd": 0.0, "loss/logits": 0.1871086286380887, "step": 21070 }, { "epoch": 0.527, "grad_norm": 33.75, "grad_norm_var": 7.6291015625, "learning_rate": 0.0001, "loss": 7.3464, "loss/crossentropy": 1.935421773791313, "loss/hidden": 3.371484375, "loss/jsd": 0.0, "loss/logits": 0.18491943813860418, "step": 21080 }, { "epoch": 0.52725, "grad_norm": 29.25, "grad_norm_var": 8.599934895833334, "learning_rate": 0.0001, "loss": 7.3769, "loss/crossentropy": 2.1220942765474318, "loss/hidden": 3.29609375, "loss/jsd": 0.0, "loss/logits": 0.18080089893192053, "step": 21090 }, { "epoch": 0.5275, "grad_norm": 32.5, "grad_norm_var": 13.941666666666666, "learning_rate": 0.0001, "loss": 7.3172, "loss/crossentropy": 2.1950094163417817, "loss/hidden": 3.432421875, "loss/jsd": 0.0, "loss/logits": 0.19560035392642022, "step": 21100 }, { "epoch": 0.52775, "grad_norm": 29.125, "grad_norm_var": 2.9431640625, "learning_rate": 0.0001, "loss": 7.2835, "loss/crossentropy": 2.0231982678174973, "loss/hidden": 3.41015625, "loss/jsd": 0.0, "loss/logits": 0.1959500327706337, "step": 21110 }, { "epoch": 0.528, "grad_norm": 34.75, "grad_norm_var": 4.874934895833333, "learning_rate": 0.0001, "loss": 7.2968, "loss/crossentropy": 2.014877498149872, "loss/hidden": 3.38828125, "loss/jsd": 0.0, "loss/logits": 0.18462858479470015, "step": 21120 }, { "epoch": 0.52825, "grad_norm": 30.125, "grad_norm_var": 3.410872395833333, "learning_rate": 0.0001, "loss": 7.2742, "loss/crossentropy": 2.0856463953852655, "loss/hidden": 3.391796875, "loss/jsd": 0.0, "loss/logits": 0.1750152625143528, "step": 21130 }, { "epoch": 0.5285, "grad_norm": 30.5, "grad_norm_var": 4.5125, "learning_rate": 0.0001, "loss": 7.3537, "loss/crossentropy": 2.097464480996132, "loss/hidden": 3.309375, "loss/jsd": 0.0, "loss/logits": 0.1879219425842166, "step": 21140 }, { "epoch": 0.52875, "grad_norm": 30.625, "grad_norm_var": 3.91875, "learning_rate": 0.0001, "loss": 7.2096, "loss/crossentropy": 2.025162447988987, "loss/hidden": 3.305859375, "loss/jsd": 0.0, "loss/logits": 0.18031715657562017, "step": 21150 }, { "epoch": 0.529, "grad_norm": 31.0, "grad_norm_var": 687.7858723958333, "learning_rate": 0.0001, "loss": 7.3077, "loss/crossentropy": 2.0105077303946017, "loss/hidden": 3.334765625, "loss/jsd": 0.0, "loss/logits": 0.17551136016845703, "step": 21160 }, { "epoch": 0.52925, "grad_norm": 27.875, "grad_norm_var": 690.9580729166667, "learning_rate": 0.0001, "loss": 7.2711, "loss/crossentropy": 1.984055256843567, "loss/hidden": 3.334765625, "loss/jsd": 0.0, "loss/logits": 0.18593314290046692, "step": 21170 }, { "epoch": 0.5295, "grad_norm": 30.125, "grad_norm_var": 6.970768229166667, "learning_rate": 0.0001, "loss": 7.2034, "loss/crossentropy": 2.1591003805398943, "loss/hidden": 3.317578125, "loss/jsd": 0.0, "loss/logits": 0.18686197344213723, "step": 21180 }, { "epoch": 0.52975, "grad_norm": 27.625, "grad_norm_var": 4.736393229166667, "learning_rate": 0.0001, "loss": 7.4247, "loss/crossentropy": 2.0217775389552117, "loss/hidden": 3.347265625, "loss/jsd": 0.0, "loss/logits": 0.1973855821415782, "step": 21190 }, { "epoch": 0.53, "grad_norm": 28.75, "grad_norm_var": 5.764322916666667, "learning_rate": 0.0001, "loss": 7.3758, "loss/crossentropy": 2.0906185880303383, "loss/hidden": 3.4078125, "loss/jsd": 0.0, "loss/logits": 0.19189006537199021, "step": 21200 }, { "epoch": 0.53025, "grad_norm": 31.375, "grad_norm_var": 3.7018229166666665, "learning_rate": 0.0001, "loss": 7.3831, "loss/crossentropy": 2.2920484393835068, "loss/hidden": 3.34296875, "loss/jsd": 0.0, "loss/logits": 0.19543348867446184, "step": 21210 }, { "epoch": 0.5305, "grad_norm": 32.5, "grad_norm_var": 1.301540273547833e+18, "learning_rate": 0.0001, "loss": 7.3275, "loss/crossentropy": 2.0418326549232004, "loss/hidden": 3.40546875, "loss/jsd": 0.0, "loss/logits": 0.1798579154536128, "step": 21220 }, { "epoch": 0.53075, "grad_norm": 30.625, "grad_norm_var": 17.545572916666668, "learning_rate": 0.0001, "loss": 7.3427, "loss/crossentropy": 2.1924046859145165, "loss/hidden": 3.330859375, "loss/jsd": 0.0, "loss/logits": 0.1793345332145691, "step": 21230 }, { "epoch": 0.531, "grad_norm": 30.75, "grad_norm_var": 3.9702473958333333, "learning_rate": 0.0001, "loss": 7.1754, "loss/crossentropy": 1.9836316756904124, "loss/hidden": 3.3453125, "loss/jsd": 0.0, "loss/logits": 0.18065028581768275, "step": 21240 }, { "epoch": 0.53125, "grad_norm": 28.625, "grad_norm_var": 1.4410807291666667, "learning_rate": 0.0001, "loss": 7.3525, "loss/crossentropy": 1.9980021633207798, "loss/hidden": 3.378515625, "loss/jsd": 0.0, "loss/logits": 0.18613223265856504, "step": 21250 }, { "epoch": 0.5315, "grad_norm": 32.0, "grad_norm_var": 2.5712890625, "learning_rate": 0.0001, "loss": 7.3235, "loss/crossentropy": 1.9790296763181687, "loss/hidden": 3.471875, "loss/jsd": 0.0, "loss/logits": 0.19255476742982863, "step": 21260 }, { "epoch": 0.53175, "grad_norm": 28.375, "grad_norm_var": 3.1264973958333333, "learning_rate": 0.0001, "loss": 7.2533, "loss/crossentropy": 2.0499105736613275, "loss/hidden": 3.32890625, "loss/jsd": 0.0, "loss/logits": 0.17501375842839478, "step": 21270 }, { "epoch": 0.532, "grad_norm": 31.625, "grad_norm_var": 3.6997395833333333, "learning_rate": 0.0001, "loss": 7.2437, "loss/crossentropy": 2.0615583658218384, "loss/hidden": 3.273828125, "loss/jsd": 0.0, "loss/logits": 0.17125342395156623, "step": 21280 }, { "epoch": 0.53225, "grad_norm": 31.25, "grad_norm_var": 2.3228515625, "learning_rate": 0.0001, "loss": 7.2509, "loss/crossentropy": 2.0179983586072923, "loss/hidden": 3.30546875, "loss/jsd": 0.0, "loss/logits": 0.17567140907049178, "step": 21290 }, { "epoch": 0.5325, "grad_norm": 28.875, "grad_norm_var": 0.8462890625, "learning_rate": 0.0001, "loss": 7.2822, "loss/crossentropy": 2.044732092320919, "loss/hidden": 3.335546875, "loss/jsd": 0.0, "loss/logits": 0.17829035893082618, "step": 21300 }, { "epoch": 0.53275, "grad_norm": 30.625, "grad_norm_var": 6.9916015625, "learning_rate": 0.0001, "loss": 7.2366, "loss/crossentropy": 2.108456004410982, "loss/hidden": 3.384375, "loss/jsd": 0.0, "loss/logits": 0.1892499382607639, "step": 21310 }, { "epoch": 0.533, "grad_norm": 30.75, "grad_norm_var": 7.531184895833333, "learning_rate": 0.0001, "loss": 7.2825, "loss/crossentropy": 2.0786417722702026, "loss/hidden": 3.3546875, "loss/jsd": 0.0, "loss/logits": 0.1849788771942258, "step": 21320 }, { "epoch": 0.53325, "grad_norm": 30.5, "grad_norm_var": 2.8067057291666666, "learning_rate": 0.0001, "loss": 7.3622, "loss/crossentropy": 2.0772973991930486, "loss/hidden": 3.391015625, "loss/jsd": 0.0, "loss/logits": 0.19109403509646655, "step": 21330 }, { "epoch": 0.5335, "grad_norm": 29.625, "grad_norm_var": 3.414322916666667, "learning_rate": 0.0001, "loss": 7.3283, "loss/crossentropy": 2.2267979592084886, "loss/hidden": 3.263671875, "loss/jsd": 0.0, "loss/logits": 0.17751519959419965, "step": 21340 }, { "epoch": 0.53375, "grad_norm": 31.0, "grad_norm_var": 7.658333333333333, "learning_rate": 0.0001, "loss": 7.3284, "loss/crossentropy": 2.0170826002955438, "loss/hidden": 3.347265625, "loss/jsd": 0.0, "loss/logits": 0.17177296355366706, "step": 21350 }, { "epoch": 0.534, "grad_norm": 29.0, "grad_norm_var": 1.7, "learning_rate": 0.0001, "loss": 7.267, "loss/crossentropy": 2.175469179451466, "loss/hidden": 3.4234375, "loss/jsd": 0.0, "loss/logits": 0.2005373438820243, "step": 21360 }, { "epoch": 0.53425, "grad_norm": 30.625, "grad_norm_var": 8.731705729166666, "learning_rate": 0.0001, "loss": 7.137, "loss/crossentropy": 2.0817506462335587, "loss/hidden": 3.30625, "loss/jsd": 0.0, "loss/logits": 0.17554874606430532, "step": 21370 }, { "epoch": 0.5345, "grad_norm": 29.375, "grad_norm_var": 10.517122395833333, "learning_rate": 0.0001, "loss": 7.3312, "loss/crossentropy": 2.0762263566255568, "loss/hidden": 3.244140625, "loss/jsd": 0.0, "loss/logits": 0.17292992006987334, "step": 21380 }, { "epoch": 0.53475, "grad_norm": 29.375, "grad_norm_var": 7.6447265625, "learning_rate": 0.0001, "loss": 7.279, "loss/crossentropy": 2.073785340040922, "loss/hidden": 3.2546875, "loss/jsd": 0.0, "loss/logits": 0.18681957013905048, "step": 21390 }, { "epoch": 0.535, "grad_norm": 28.75, "grad_norm_var": 2.1333333333333333, "learning_rate": 0.0001, "loss": 7.3367, "loss/crossentropy": 2.16663718521595, "loss/hidden": 3.296875, "loss/jsd": 0.0, "loss/logits": 0.18254186888225377, "step": 21400 }, { "epoch": 0.53525, "grad_norm": 30.5, "grad_norm_var": 2.27890625, "learning_rate": 0.0001, "loss": 7.3824, "loss/crossentropy": 2.000949743390083, "loss/hidden": 3.419140625, "loss/jsd": 0.0, "loss/logits": 0.19326272774487735, "step": 21410 }, { "epoch": 0.5355, "grad_norm": 30.625, "grad_norm_var": 1.3202473958333334, "learning_rate": 0.0001, "loss": 7.3294, "loss/crossentropy": 1.9899908214807511, "loss/hidden": 3.369140625, "loss/jsd": 0.0, "loss/logits": 0.19131155535578728, "step": 21420 }, { "epoch": 0.53575, "grad_norm": 29.125, "grad_norm_var": 1.3811848958333333, "learning_rate": 0.0001, "loss": 7.3148, "loss/crossentropy": 2.1891008853912353, "loss/hidden": 3.40078125, "loss/jsd": 0.0, "loss/logits": 0.19048418197780848, "step": 21430 }, { "epoch": 0.536, "grad_norm": 31.875, "grad_norm_var": 1.6072916666666666, "learning_rate": 0.0001, "loss": 7.2268, "loss/crossentropy": 2.1451114103198052, "loss/hidden": 3.33203125, "loss/jsd": 0.0, "loss/logits": 0.179903282225132, "step": 21440 }, { "epoch": 0.53625, "grad_norm": 31.125, "grad_norm_var": 5.038997395833333, "learning_rate": 0.0001, "loss": 7.3707, "loss/crossentropy": 2.0621043920516966, "loss/hidden": 3.501953125, "loss/jsd": 0.0, "loss/logits": 0.2030002610757947, "step": 21450 }, { "epoch": 0.5365, "grad_norm": 32.25, "grad_norm_var": 1.1434895833333334, "learning_rate": 0.0001, "loss": 7.3413, "loss/crossentropy": 2.0637945592403413, "loss/hidden": 3.440625, "loss/jsd": 0.0, "loss/logits": 0.21434453465044498, "step": 21460 }, { "epoch": 0.53675, "grad_norm": 30.5, "grad_norm_var": 1.9046223958333333, "learning_rate": 0.0001, "loss": 7.331, "loss/crossentropy": 2.100746136903763, "loss/hidden": 3.4203125, "loss/jsd": 0.0, "loss/logits": 0.20721383020281792, "step": 21470 }, { "epoch": 0.537, "grad_norm": 31.625, "grad_norm_var": 1.8875, "learning_rate": 0.0001, "loss": 7.266, "loss/crossentropy": 2.085133180767298, "loss/hidden": 3.412890625, "loss/jsd": 0.0, "loss/logits": 0.19881708025932313, "step": 21480 }, { "epoch": 0.53725, "grad_norm": 26.875, "grad_norm_var": 4.8931640625, "learning_rate": 0.0001, "loss": 7.2806, "loss/crossentropy": 1.9575376056134701, "loss/hidden": 3.312890625, "loss/jsd": 0.0, "loss/logits": 0.17017574273049832, "step": 21490 }, { "epoch": 0.5375, "grad_norm": 36.75, "grad_norm_var": 27.210872395833334, "learning_rate": 0.0001, "loss": 7.3797, "loss/crossentropy": 2.107981327176094, "loss/hidden": 3.496484375, "loss/jsd": 0.0, "loss/logits": 0.20202290676534176, "step": 21500 }, { "epoch": 0.53775, "grad_norm": 43.25, "grad_norm_var": 217.90625, "learning_rate": 0.0001, "loss": 7.3549, "loss/crossentropy": 2.0315024718642234, "loss/hidden": 3.3359375, "loss/jsd": 0.0, "loss/logits": 0.18244437091052532, "step": 21510 }, { "epoch": 0.538, "grad_norm": 35.75, "grad_norm_var": 209.64140625, "learning_rate": 0.0001, "loss": 7.2932, "loss/crossentropy": 2.0473300129175187, "loss/hidden": 3.336328125, "loss/jsd": 0.0, "loss/logits": 0.1864867027848959, "step": 21520 }, { "epoch": 0.53825, "grad_norm": 30.0, "grad_norm_var": 28.510872395833335, "learning_rate": 0.0001, "loss": 7.2708, "loss/crossentropy": 2.2367413520812987, "loss/hidden": 3.365625, "loss/jsd": 0.0, "loss/logits": 0.19972213320434093, "step": 21530 }, { "epoch": 0.5385, "grad_norm": 30.875, "grad_norm_var": 30.212955729166666, "learning_rate": 0.0001, "loss": 7.2704, "loss/crossentropy": 2.1623730801045893, "loss/hidden": 3.321875, "loss/jsd": 0.0, "loss/logits": 0.1971738815307617, "step": 21540 }, { "epoch": 0.53875, "grad_norm": 35.0, "grad_norm_var": 7.9134765625, "learning_rate": 0.0001, "loss": 7.2673, "loss/crossentropy": 2.1150405749678614, "loss/hidden": 3.287109375, "loss/jsd": 0.0, "loss/logits": 0.18175593428313733, "step": 21550 }, { "epoch": 0.539, "grad_norm": 31.5, "grad_norm_var": 2.928465630196033e+18, "learning_rate": 0.0001, "loss": 7.3405, "loss/crossentropy": 2.0370446920394896, "loss/hidden": 3.30703125, "loss/jsd": 0.0, "loss/logits": 0.1800082778558135, "step": 21560 }, { "epoch": 0.53925, "grad_norm": 35.5, "grad_norm_var": 2.928465629582826e+18, "learning_rate": 0.0001, "loss": 7.3808, "loss/crossentropy": 2.1404812157154085, "loss/hidden": 3.35703125, "loss/jsd": 0.0, "loss/logits": 0.18585823830217124, "step": 21570 }, { "epoch": 0.5395, "grad_norm": 30.375, "grad_norm_var": 4.48515625, "learning_rate": 0.0001, "loss": 7.3203, "loss/crossentropy": 2.2115766972303392, "loss/hidden": 3.409765625, "loss/jsd": 0.0, "loss/logits": 0.19159688670188188, "step": 21580 }, { "epoch": 0.53975, "grad_norm": 28.0, "grad_norm_var": 6.1666015625, "learning_rate": 0.0001, "loss": 7.2824, "loss/crossentropy": 2.1206958115100862, "loss/hidden": 3.3875, "loss/jsd": 0.0, "loss/logits": 0.18236497584730388, "step": 21590 }, { "epoch": 0.54, "grad_norm": 33.0, "grad_norm_var": 8.221809895833333, "learning_rate": 0.0001, "loss": 7.1904, "loss/crossentropy": 1.9439353846013545, "loss/hidden": 3.3125, "loss/jsd": 0.0, "loss/logits": 0.16596114486455918, "step": 21600 }, { "epoch": 0.54025, "grad_norm": 30.625, "grad_norm_var": 4.26640625, "learning_rate": 0.0001, "loss": 7.2192, "loss/crossentropy": 2.084056280553341, "loss/hidden": 3.39921875, "loss/jsd": 0.0, "loss/logits": 0.1889295268803835, "step": 21610 }, { "epoch": 0.5405, "grad_norm": 30.75, "grad_norm_var": 4.08515625, "learning_rate": 0.0001, "loss": 7.2147, "loss/crossentropy": 1.9731713935732842, "loss/hidden": 3.276953125, "loss/jsd": 0.0, "loss/logits": 0.17223210986703635, "step": 21620 }, { "epoch": 0.54075, "grad_norm": 30.875, "grad_norm_var": 8.837239583333334, "learning_rate": 0.0001, "loss": 7.2933, "loss/crossentropy": 2.049588477611542, "loss/hidden": 3.321875, "loss/jsd": 0.0, "loss/logits": 0.18233908694237472, "step": 21630 }, { "epoch": 0.541, "grad_norm": 29.625, "grad_norm_var": 5.414322916666666, "learning_rate": 0.0001, "loss": 7.2083, "loss/crossentropy": 2.045769859850407, "loss/hidden": 3.2625, "loss/jsd": 0.0, "loss/logits": 0.17521222569048406, "step": 21640 }, { "epoch": 0.54125, "grad_norm": 32.5, "grad_norm_var": 2.04140625, "learning_rate": 0.0001, "loss": 7.297, "loss/crossentropy": 2.1753006681799887, "loss/hidden": 3.353515625, "loss/jsd": 0.0, "loss/logits": 0.1932337900623679, "step": 21650 }, { "epoch": 0.5415, "grad_norm": 27.875, "grad_norm_var": 4.039583333333334, "learning_rate": 0.0001, "loss": 7.1617, "loss/crossentropy": 2.1425692200660706, "loss/hidden": 3.342578125, "loss/jsd": 0.0, "loss/logits": 0.18889971654862164, "step": 21660 }, { "epoch": 0.54175, "grad_norm": 34.25, "grad_norm_var": 4.156184895833333, "learning_rate": 0.0001, "loss": 7.1944, "loss/crossentropy": 2.0136908262968065, "loss/hidden": 3.2953125, "loss/jsd": 0.0, "loss/logits": 0.1680521246045828, "step": 21670 }, { "epoch": 0.542, "grad_norm": 30.875, "grad_norm_var": 4.99140625, "learning_rate": 0.0001, "loss": 7.2897, "loss/crossentropy": 2.148314264416695, "loss/hidden": 3.24765625, "loss/jsd": 0.0, "loss/logits": 0.170760527998209, "step": 21680 }, { "epoch": 0.54225, "grad_norm": 30.75, "grad_norm_var": 2.8059895833333335, "learning_rate": 0.0001, "loss": 7.1925, "loss/crossentropy": 2.055006366968155, "loss/hidden": 3.375390625, "loss/jsd": 0.0, "loss/logits": 0.1854418007656932, "step": 21690 }, { "epoch": 0.5425, "grad_norm": 31.75, "grad_norm_var": 3.6384765625, "learning_rate": 0.0001, "loss": 7.3447, "loss/crossentropy": 2.0953226678073404, "loss/hidden": 3.386328125, "loss/jsd": 0.0, "loss/logits": 0.1921064408496022, "step": 21700 }, { "epoch": 0.54275, "grad_norm": 31.25, "grad_norm_var": 3.0625, "learning_rate": 0.0001, "loss": 7.3351, "loss/crossentropy": 2.075012197345495, "loss/hidden": 3.371484375, "loss/jsd": 0.0, "loss/logits": 0.18619187362492085, "step": 21710 }, { "epoch": 0.543, "grad_norm": 30.125, "grad_norm_var": 3.9306640625, "learning_rate": 0.0001, "loss": 7.2675, "loss/crossentropy": 2.104280537366867, "loss/hidden": 3.3609375, "loss/jsd": 0.0, "loss/logits": 0.18965906854718922, "step": 21720 }, { "epoch": 0.54325, "grad_norm": 28.625, "grad_norm_var": 4.276041666666667, "learning_rate": 0.0001, "loss": 7.2077, "loss/crossentropy": 1.8971405908465386, "loss/hidden": 3.35390625, "loss/jsd": 0.0, "loss/logits": 0.17859434587880968, "step": 21730 }, { "epoch": 0.5435, "grad_norm": 31.875, "grad_norm_var": 3.109375, "learning_rate": 0.0001, "loss": 7.3256, "loss/crossentropy": 2.1083227381110192, "loss/hidden": 3.386328125, "loss/jsd": 0.0, "loss/logits": 0.1904505856335163, "step": 21740 }, { "epoch": 0.54375, "grad_norm": 30.25, "grad_norm_var": 3.4728515625, "learning_rate": 0.0001, "loss": 7.3875, "loss/crossentropy": 2.3079893991351126, "loss/hidden": 3.28046875, "loss/jsd": 0.0, "loss/logits": 0.18368349261581898, "step": 21750 }, { "epoch": 0.544, "grad_norm": 30.125, "grad_norm_var": 5.176822916666667, "learning_rate": 0.0001, "loss": 7.3763, "loss/crossentropy": 2.098197969794273, "loss/hidden": 3.392578125, "loss/jsd": 0.0, "loss/logits": 0.2088245895691216, "step": 21760 }, { "epoch": 0.54425, "grad_norm": 29.5, "grad_norm_var": 7.164322916666666, "learning_rate": 0.0001, "loss": 7.3008, "loss/crossentropy": 2.1331639789044856, "loss/hidden": 3.353125, "loss/jsd": 0.0, "loss/logits": 0.17733938563615084, "step": 21770 }, { "epoch": 0.5445, "grad_norm": 30.625, "grad_norm_var": 165.75045572916667, "learning_rate": 0.0001, "loss": 7.2084, "loss/crossentropy": 1.9805914640426636, "loss/hidden": 3.355859375, "loss/jsd": 0.0, "loss/logits": 0.18551983144134282, "step": 21780 }, { "epoch": 0.54475, "grad_norm": 29.125, "grad_norm_var": 32.90598958333333, "learning_rate": 0.0001, "loss": 7.2898, "loss/crossentropy": 2.0330356270074845, "loss/hidden": 3.36875, "loss/jsd": 0.0, "loss/logits": 0.18011851627379655, "step": 21790 }, { "epoch": 0.545, "grad_norm": 37.25, "grad_norm_var": 29.716666666666665, "learning_rate": 0.0001, "loss": 7.4356, "loss/crossentropy": 2.1713989078998566, "loss/hidden": 3.334375, "loss/jsd": 0.0, "loss/logits": 0.19549211151897908, "step": 21800 }, { "epoch": 0.54525, "grad_norm": 29.75, "grad_norm_var": 6.017122395833334, "learning_rate": 0.0001, "loss": 7.2726, "loss/crossentropy": 2.2081006675958634, "loss/hidden": 3.298828125, "loss/jsd": 0.0, "loss/logits": 0.1883497454226017, "step": 21810 }, { "epoch": 0.5455, "grad_norm": 31.25, "grad_norm_var": 4.859830729166666, "learning_rate": 0.0001, "loss": 7.3724, "loss/crossentropy": 1.9547579608857633, "loss/hidden": 3.32109375, "loss/jsd": 0.0, "loss/logits": 0.1771907014772296, "step": 21820 }, { "epoch": 0.54575, "grad_norm": 32.75, "grad_norm_var": 5.364518229166666, "learning_rate": 0.0001, "loss": 7.3612, "loss/crossentropy": 2.098206965625286, "loss/hidden": 3.459765625, "loss/jsd": 0.0, "loss/logits": 0.19235289450734855, "step": 21830 }, { "epoch": 0.546, "grad_norm": 31.5, "grad_norm_var": 6.561393229166667, "learning_rate": 0.0001, "loss": 7.2737, "loss/crossentropy": 2.1263977140188217, "loss/hidden": 3.41796875, "loss/jsd": 0.0, "loss/logits": 0.1888118337839842, "step": 21840 }, { "epoch": 0.54625, "grad_norm": 33.0, "grad_norm_var": 5.3603515625, "learning_rate": 0.0001, "loss": 7.2304, "loss/crossentropy": 2.101663938164711, "loss/hidden": 3.27265625, "loss/jsd": 0.0, "loss/logits": 0.17398083284497262, "step": 21850 }, { "epoch": 0.5465, "grad_norm": 28.375, "grad_norm_var": 4.398958333333334, "learning_rate": 0.0001, "loss": 7.1952, "loss/crossentropy": 1.9339447408914565, "loss/hidden": 3.331640625, "loss/jsd": 0.0, "loss/logits": 0.16659772507846354, "step": 21860 }, { "epoch": 0.54675, "grad_norm": 35.5, "grad_norm_var": 4.6666015625, "learning_rate": 0.0001, "loss": 7.2218, "loss/crossentropy": 1.9582382440567017, "loss/hidden": 3.279296875, "loss/jsd": 0.0, "loss/logits": 0.17305021807551385, "step": 21870 }, { "epoch": 0.547, "grad_norm": 32.25, "grad_norm_var": 3.503059895833333, "learning_rate": 0.0001, "loss": 7.1931, "loss/crossentropy": 1.9935566574335097, "loss/hidden": 3.27734375, "loss/jsd": 0.0, "loss/logits": 0.17071465943008662, "step": 21880 }, { "epoch": 0.54725, "grad_norm": 29.625, "grad_norm_var": 4.862955729166667, "learning_rate": 0.0001, "loss": 7.2374, "loss/crossentropy": 2.036357142031193, "loss/hidden": 3.424609375, "loss/jsd": 0.0, "loss/logits": 0.19538825107738375, "step": 21890 }, { "epoch": 0.5475, "grad_norm": 32.25, "grad_norm_var": 5.046875, "learning_rate": 0.0001, "loss": 7.2621, "loss/crossentropy": 1.92364434376359, "loss/hidden": 3.3359375, "loss/jsd": 0.0, "loss/logits": 0.17744148215278982, "step": 21900 }, { "epoch": 0.54775, "grad_norm": 29.875, "grad_norm_var": 3.564583333333333, "learning_rate": 0.0001, "loss": 7.285, "loss/crossentropy": 2.0298509031534193, "loss/hidden": 3.234375, "loss/jsd": 0.0, "loss/logits": 0.17162161748856306, "step": 21910 }, { "epoch": 0.548, "grad_norm": 31.0, "grad_norm_var": 5.1619140625, "learning_rate": 0.0001, "loss": 7.3575, "loss/crossentropy": 2.175525971502066, "loss/hidden": 3.298046875, "loss/jsd": 0.0, "loss/logits": 0.18408444514498115, "step": 21920 }, { "epoch": 0.54825, "grad_norm": 30.25, "grad_norm_var": 2.9114583333333335, "learning_rate": 0.0001, "loss": 7.1831, "loss/crossentropy": 1.8858811140060425, "loss/hidden": 3.418359375, "loss/jsd": 0.0, "loss/logits": 0.1825306786224246, "step": 21930 }, { "epoch": 0.5485, "grad_norm": 30.0, "grad_norm_var": 2.62890625, "learning_rate": 0.0001, "loss": 7.2268, "loss/crossentropy": 2.026767262816429, "loss/hidden": 3.30234375, "loss/jsd": 0.0, "loss/logits": 0.17721015885472297, "step": 21940 }, { "epoch": 0.54875, "grad_norm": 36.5, "grad_norm_var": 5.305989583333333, "learning_rate": 0.0001, "loss": 7.2989, "loss/crossentropy": 1.9967989712953567, "loss/hidden": 3.36796875, "loss/jsd": 0.0, "loss/logits": 0.1873170206323266, "step": 21950 }, { "epoch": 0.549, "grad_norm": 28.375, "grad_norm_var": 239.72180989583333, "learning_rate": 0.0001, "loss": 7.3301, "loss/crossentropy": 2.163920529931784, "loss/hidden": 3.39921875, "loss/jsd": 0.0, "loss/logits": 0.1893145816400647, "step": 21960 }, { "epoch": 0.54925, "grad_norm": 29.0, "grad_norm_var": 4.773372395833333, "learning_rate": 0.0001, "loss": 7.3758, "loss/crossentropy": 2.1935864582657816, "loss/hidden": 3.358203125, "loss/jsd": 0.0, "loss/logits": 0.19310898408293725, "step": 21970 }, { "epoch": 0.5495, "grad_norm": 36.0, "grad_norm_var": 6.3072265625, "learning_rate": 0.0001, "loss": 7.2928, "loss/crossentropy": 1.9404637925326824, "loss/hidden": 3.325, "loss/jsd": 0.0, "loss/logits": 0.18799830228090286, "step": 21980 }, { "epoch": 0.54975, "grad_norm": 6174015488.0, "grad_norm_var": 2.3824041793920087e+18, "learning_rate": 0.0001, "loss": 7.2622, "loss/crossentropy": 2.111705342680216, "loss/hidden": 3.382421875, "loss/jsd": 0.0, "loss/logits": 0.2000083826482296, "step": 21990 }, { "epoch": 0.55, "grad_norm": 29.625, "grad_norm_var": 2.3824041760992005e+18, "learning_rate": 0.0001, "loss": 7.3763, "loss/crossentropy": 2.0126213818788528, "loss/hidden": 3.427734375, "loss/jsd": 0.0, "loss/logits": 0.21517845019698142, "step": 22000 }, { "epoch": 0.55025, "grad_norm": 29.625, "grad_norm_var": 11.349934895833334, "learning_rate": 0.0001, "loss": 7.3056, "loss/crossentropy": 2.1753602206707, "loss/hidden": 3.334765625, "loss/jsd": 0.0, "loss/logits": 0.1973609359934926, "step": 22010 }, { "epoch": 0.5505, "grad_norm": 29.875, "grad_norm_var": 1.3613932291666666, "learning_rate": 0.0001, "loss": 7.2592, "loss/crossentropy": 2.045438584685326, "loss/hidden": 3.287109375, "loss/jsd": 0.0, "loss/logits": 0.17302108742296696, "step": 22020 }, { "epoch": 0.55075, "grad_norm": 31.75, "grad_norm_var": 2.4893229166666666, "learning_rate": 0.0001, "loss": 7.2572, "loss/crossentropy": 1.988423915207386, "loss/hidden": 3.345703125, "loss/jsd": 0.0, "loss/logits": 0.19198302906006576, "step": 22030 }, { "epoch": 0.551, "grad_norm": 29.75, "grad_norm_var": 2.018684895833333, "learning_rate": 0.0001, "loss": 7.3145, "loss/crossentropy": 2.186215503513813, "loss/hidden": 3.321484375, "loss/jsd": 0.0, "loss/logits": 0.188802495226264, "step": 22040 }, { "epoch": 0.55125, "grad_norm": 35.5, "grad_norm_var": 3.05, "learning_rate": 0.0001, "loss": 7.3018, "loss/crossentropy": 2.0135563641786574, "loss/hidden": 3.412109375, "loss/jsd": 0.0, "loss/logits": 0.19467689003795385, "step": 22050 }, { "epoch": 0.5515, "grad_norm": 34.5, "grad_norm_var": 34.940625, "learning_rate": 0.0001, "loss": 7.2785, "loss/crossentropy": 1.9395711533725262, "loss/hidden": 3.378125, "loss/jsd": 0.0, "loss/logits": 0.1815367082133889, "step": 22060 }, { "epoch": 0.55175, "grad_norm": 29.75, "grad_norm_var": 23.817122395833334, "learning_rate": 0.0001, "loss": 7.3435, "loss/crossentropy": 2.024968159198761, "loss/hidden": 3.51484375, "loss/jsd": 0.0, "loss/logits": 0.20050131883472205, "step": 22070 }, { "epoch": 0.552, "grad_norm": 27.375, "grad_norm_var": 3.2143229166666667, "learning_rate": 0.0001, "loss": 7.3201, "loss/crossentropy": 2.29172303378582, "loss/hidden": 3.313671875, "loss/jsd": 0.0, "loss/logits": 0.19257347993552684, "step": 22080 }, { "epoch": 0.55225, "grad_norm": 28.875, "grad_norm_var": 4.649739583333333, "learning_rate": 0.0001, "loss": 7.2483, "loss/crossentropy": 1.9568318665027618, "loss/hidden": 3.3109375, "loss/jsd": 0.0, "loss/logits": 0.17994072400033473, "step": 22090 }, { "epoch": 0.5525, "grad_norm": 34.0, "grad_norm_var": 4.592708333333333, "learning_rate": 0.0001, "loss": 7.2302, "loss/crossentropy": 2.148341643810272, "loss/hidden": 3.346875, "loss/jsd": 0.0, "loss/logits": 0.18362896144390106, "step": 22100 }, { "epoch": 0.55275, "grad_norm": 31.375, "grad_norm_var": 3.36640625, "learning_rate": 0.0001, "loss": 7.2849, "loss/crossentropy": 1.9461228162050248, "loss/hidden": 3.508203125, "loss/jsd": 0.0, "loss/logits": 0.1895364910364151, "step": 22110 }, { "epoch": 0.553, "grad_norm": 33.0, "grad_norm_var": 2.9497395833333333, "learning_rate": 0.0001, "loss": 7.4344, "loss/crossentropy": 2.1932419329881667, "loss/hidden": 3.39140625, "loss/jsd": 0.0, "loss/logits": 0.19293667376041412, "step": 22120 }, { "epoch": 0.55325, "grad_norm": 29.75, "grad_norm_var": 7.080143229166667, "learning_rate": 0.0001, "loss": 7.3256, "loss/crossentropy": 2.164583859592676, "loss/hidden": 3.3296875, "loss/jsd": 0.0, "loss/logits": 0.1796217132359743, "step": 22130 }, { "epoch": 0.5535, "grad_norm": 33.75, "grad_norm_var": 4.024739583333333, "learning_rate": 0.0001, "loss": 7.3128, "loss/crossentropy": 2.0828025907278063, "loss/hidden": 3.292578125, "loss/jsd": 0.0, "loss/logits": 0.17759974133223294, "step": 22140 }, { "epoch": 0.55375, "grad_norm": 31.875, "grad_norm_var": 2.9150390625, "learning_rate": 0.0001, "loss": 7.2276, "loss/crossentropy": 1.9275901369750499, "loss/hidden": 3.31171875, "loss/jsd": 0.0, "loss/logits": 0.16787631679326295, "step": 22150 }, { "epoch": 0.554, "grad_norm": 32.25, "grad_norm_var": 3.190559895833333, "learning_rate": 0.0001, "loss": 7.327, "loss/crossentropy": 2.0888339787721635, "loss/hidden": 3.300390625, "loss/jsd": 0.0, "loss/logits": 0.17749339248985052, "step": 22160 }, { "epoch": 0.55425, "grad_norm": 32.5, "grad_norm_var": 2.7129557291666666, "learning_rate": 0.0001, "loss": 7.3324, "loss/crossentropy": 1.9096436515450477, "loss/hidden": 3.352734375, "loss/jsd": 0.0, "loss/logits": 0.16837584171444178, "step": 22170 }, { "epoch": 0.5545, "grad_norm": 31.25, "grad_norm_var": 2.463997395833333, "learning_rate": 0.0001, "loss": 7.2819, "loss/crossentropy": 2.0638594791293143, "loss/hidden": 3.375390625, "loss/jsd": 0.0, "loss/logits": 0.1814063997939229, "step": 22180 }, { "epoch": 0.55475, "grad_norm": 39.5, "grad_norm_var": 7.167643229166667, "learning_rate": 0.0001, "loss": 7.2706, "loss/crossentropy": 2.1528440028429032, "loss/hidden": 3.32421875, "loss/jsd": 0.0, "loss/logits": 0.19305985253304242, "step": 22190 }, { "epoch": 0.555, "grad_norm": 34.5, "grad_norm_var": 7.8875, "learning_rate": 0.0001, "loss": 7.3135, "loss/crossentropy": 2.163337790966034, "loss/hidden": 3.2890625, "loss/jsd": 0.0, "loss/logits": 0.17552390675991775, "step": 22200 }, { "epoch": 0.55525, "grad_norm": 30.125, "grad_norm_var": 2.520247395833333, "learning_rate": 0.0001, "loss": 7.1905, "loss/crossentropy": 2.0848088540136813, "loss/hidden": 3.39609375, "loss/jsd": 0.0, "loss/logits": 0.1875115931034088, "step": 22210 }, { "epoch": 0.5555, "grad_norm": 31.875, "grad_norm_var": 2.845833333333333, "learning_rate": 0.0001, "loss": 7.2472, "loss/crossentropy": 2.200931230187416, "loss/hidden": 3.366015625, "loss/jsd": 0.0, "loss/logits": 0.20207254495471716, "step": 22220 }, { "epoch": 0.55575, "grad_norm": 31.0, "grad_norm_var": 3.02265625, "learning_rate": 0.0001, "loss": 7.3226, "loss/crossentropy": 1.9815104238688945, "loss/hidden": 3.331640625, "loss/jsd": 0.0, "loss/logits": 0.1747302796691656, "step": 22230 }, { "epoch": 0.556, "grad_norm": 30.125, "grad_norm_var": 4.238997395833334, "learning_rate": 0.0001, "loss": 7.3566, "loss/crossentropy": 2.1646396666765213, "loss/hidden": 3.48046875, "loss/jsd": 0.0, "loss/logits": 0.2087303439155221, "step": 22240 }, { "epoch": 0.55625, "grad_norm": 31.875, "grad_norm_var": 5.177018229166666, "learning_rate": 0.0001, "loss": 7.3546, "loss/crossentropy": 2.0839816108345985, "loss/hidden": 3.319921875, "loss/jsd": 0.0, "loss/logits": 0.18073585536330938, "step": 22250 }, { "epoch": 0.5565, "grad_norm": 30.625, "grad_norm_var": 3.723372395833333, "learning_rate": 0.0001, "loss": 7.3226, "loss/crossentropy": 2.0152421653270722, "loss/hidden": 3.298828125, "loss/jsd": 0.0, "loss/logits": 0.17794121894985437, "step": 22260 }, { "epoch": 0.55675, "grad_norm": 28.5, "grad_norm_var": 8.039518229166667, "learning_rate": 0.0001, "loss": 7.3145, "loss/crossentropy": 2.0704862751066684, "loss/hidden": 3.303125, "loss/jsd": 0.0, "loss/logits": 0.17498300932347774, "step": 22270 }, { "epoch": 0.557, "grad_norm": 31.125, "grad_norm_var": 10.777083333333334, "learning_rate": 0.0001, "loss": 7.2271, "loss/crossentropy": 1.9257421031594277, "loss/hidden": 3.4390625, "loss/jsd": 0.0, "loss/logits": 0.19484029989689589, "step": 22280 }, { "epoch": 0.55725, "grad_norm": 30.5, "grad_norm_var": 6.412239583333333, "learning_rate": 0.0001, "loss": 7.249, "loss/crossentropy": 2.0617389529943466, "loss/hidden": 3.39609375, "loss/jsd": 0.0, "loss/logits": 0.18348366860300303, "step": 22290 }, { "epoch": 0.5575, "grad_norm": 31.875, "grad_norm_var": 3.5582682291666665, "learning_rate": 0.0001, "loss": 7.3245, "loss/crossentropy": 2.0664080172777175, "loss/hidden": 3.355859375, "loss/jsd": 0.0, "loss/logits": 0.17801499664783477, "step": 22300 }, { "epoch": 0.55775, "grad_norm": 28.375, "grad_norm_var": 2.41015625, "learning_rate": 0.0001, "loss": 7.2956, "loss/crossentropy": 2.009297924488783, "loss/hidden": 3.383984375, "loss/jsd": 0.0, "loss/logits": 0.18730297349393368, "step": 22310 }, { "epoch": 0.558, "grad_norm": 29.0, "grad_norm_var": 3.723893229166667, "learning_rate": 0.0001, "loss": 7.3288, "loss/crossentropy": 2.138043949007988, "loss/hidden": 3.44375, "loss/jsd": 0.0, "loss/logits": 0.19984424524009228, "step": 22320 }, { "epoch": 0.55825, "grad_norm": 31.125, "grad_norm_var": 9.493489583333334, "learning_rate": 0.0001, "loss": 7.2771, "loss/crossentropy": 2.038010062277317, "loss/hidden": 3.310546875, "loss/jsd": 0.0, "loss/logits": 0.1933336803689599, "step": 22330 }, { "epoch": 0.5585, "grad_norm": 29.75, "grad_norm_var": 2.6884765625, "learning_rate": 0.0001, "loss": 7.2633, "loss/crossentropy": 2.2755305796861647, "loss/hidden": 3.38046875, "loss/jsd": 0.0, "loss/logits": 0.19489618260413408, "step": 22340 }, { "epoch": 0.55875, "grad_norm": 30.875, "grad_norm_var": 51.78333333333333, "learning_rate": 0.0001, "loss": 7.3329, "loss/crossentropy": 2.179186634719372, "loss/hidden": 3.3546875, "loss/jsd": 0.0, "loss/logits": 0.1874596353620291, "step": 22350 }, { "epoch": 0.559, "grad_norm": 36.25, "grad_norm_var": 38.72057291666667, "learning_rate": 0.0001, "loss": 7.3535, "loss/crossentropy": 1.9558674409985541, "loss/hidden": 3.55546875, "loss/jsd": 0.0, "loss/logits": 0.19192036390304565, "step": 22360 }, { "epoch": 0.55925, "grad_norm": 32.5, "grad_norm_var": 52.962955729166666, "learning_rate": 0.0001, "loss": 7.4462, "loss/crossentropy": 2.16518527418375, "loss/hidden": 3.419140625, "loss/jsd": 0.0, "loss/logits": 0.1972449893131852, "step": 22370 }, { "epoch": 0.5595, "grad_norm": 33.75, "grad_norm_var": 41.524739583333336, "learning_rate": 0.0001, "loss": 7.2722, "loss/crossentropy": 2.1358800739049912, "loss/hidden": 3.298046875, "loss/jsd": 0.0, "loss/logits": 0.18384176325052975, "step": 22380 }, { "epoch": 0.55975, "grad_norm": 41.5, "grad_norm_var": 23.659830729166668, "learning_rate": 0.0001, "loss": 7.3707, "loss/crossentropy": 2.090507461130619, "loss/hidden": 3.310546875, "loss/jsd": 0.0, "loss/logits": 0.17735959570854903, "step": 22390 }, { "epoch": 0.56, "grad_norm": 32.5, "grad_norm_var": 15.437239583333334, "learning_rate": 0.0001, "loss": 7.1671, "loss/crossentropy": 2.0199001021683216, "loss/hidden": 3.30546875, "loss/jsd": 0.0, "loss/logits": 0.176216440834105, "step": 22400 }, { "epoch": 0.56025, "grad_norm": 32.5, "grad_norm_var": 12.668489583333333, "learning_rate": 0.0001, "loss": 7.3144, "loss/crossentropy": 2.0520263105630874, "loss/hidden": 3.526953125, "loss/jsd": 0.0, "loss/logits": 0.207816849835217, "step": 22410 }, { "epoch": 0.5605, "grad_norm": 30.0, "grad_norm_var": 10.243489583333334, "learning_rate": 0.0001, "loss": 7.251, "loss/crossentropy": 2.191933420300484, "loss/hidden": 3.293359375, "loss/jsd": 0.0, "loss/logits": 0.18148876912891865, "step": 22420 }, { "epoch": 0.56075, "grad_norm": 27.625, "grad_norm_var": 8.584830729166667, "learning_rate": 0.0001, "loss": 7.2872, "loss/crossentropy": 2.0942600347101687, "loss/hidden": 3.2859375, "loss/jsd": 0.0, "loss/logits": 0.1781538650393486, "step": 22430 }, { "epoch": 0.561, "grad_norm": 28.375, "grad_norm_var": 30.66640625, "learning_rate": 0.0001, "loss": 7.3342, "loss/crossentropy": 2.0626624435186387, "loss/hidden": 3.446484375, "loss/jsd": 0.0, "loss/logits": 0.20761814154684544, "step": 22440 }, { "epoch": 0.56125, "grad_norm": 28.875, "grad_norm_var": 5.724739583333333, "learning_rate": 0.0001, "loss": 7.3023, "loss/crossentropy": 2.153649944067001, "loss/hidden": 3.321875, "loss/jsd": 0.0, "loss/logits": 0.2057520892471075, "step": 22450 }, { "epoch": 0.5615, "grad_norm": 30.0, "grad_norm_var": 8.825455729166666, "learning_rate": 0.0001, "loss": 7.4168, "loss/crossentropy": 2.1032363295555117, "loss/hidden": 3.332421875, "loss/jsd": 0.0, "loss/logits": 0.17875799927860497, "step": 22460 }, { "epoch": 0.56175, "grad_norm": 31.75, "grad_norm_var": 6.794205729166666, "learning_rate": 0.0001, "loss": 7.2705, "loss/crossentropy": 2.2260005325078964, "loss/hidden": 3.319921875, "loss/jsd": 0.0, "loss/logits": 0.19685445744544267, "step": 22470 }, { "epoch": 0.562, "grad_norm": 31.5, "grad_norm_var": 4.7478515625, "learning_rate": 0.0001, "loss": 7.2752, "loss/crossentropy": 2.0784255638718605, "loss/hidden": 3.301171875, "loss/jsd": 0.0, "loss/logits": 0.19737142305821181, "step": 22480 }, { "epoch": 0.56225, "grad_norm": 34.75, "grad_norm_var": 6.758072916666666, "learning_rate": 0.0001, "loss": 7.3435, "loss/crossentropy": 2.143521362543106, "loss/hidden": 3.271875, "loss/jsd": 0.0, "loss/logits": 0.17078035548329354, "step": 22490 }, { "epoch": 0.5625, "grad_norm": 29.0, "grad_norm_var": 7.628580729166667, "learning_rate": 0.0001, "loss": 7.3417, "loss/crossentropy": 2.0641577050089834, "loss/hidden": 3.555078125, "loss/jsd": 0.0, "loss/logits": 0.1941977996379137, "step": 22500 }, { "epoch": 0.56275, "grad_norm": 29.875, "grad_norm_var": 7.066666666666666, "learning_rate": 0.0001, "loss": 7.4512, "loss/crossentropy": 2.1928183168172835, "loss/hidden": 3.37734375, "loss/jsd": 0.0, "loss/logits": 0.19421984851360322, "step": 22510 }, { "epoch": 0.563, "grad_norm": 29.5, "grad_norm_var": 3.2030598958333334, "learning_rate": 0.0001, "loss": 7.3443, "loss/crossentropy": 2.068145313858986, "loss/hidden": 3.468359375, "loss/jsd": 0.0, "loss/logits": 0.19339582826942206, "step": 22520 }, { "epoch": 0.56325, "grad_norm": 31.25, "grad_norm_var": 9.23515625, "learning_rate": 0.0001, "loss": 7.378, "loss/crossentropy": 2.130034548044205, "loss/hidden": 3.385546875, "loss/jsd": 0.0, "loss/logits": 0.19611325915902852, "step": 22530 }, { "epoch": 0.5635, "grad_norm": 29.625, "grad_norm_var": 11.611458333333333, "learning_rate": 0.0001, "loss": 7.2822, "loss/crossentropy": 1.9730725206434727, "loss/hidden": 3.461328125, "loss/jsd": 0.0, "loss/logits": 0.2219389332458377, "step": 22540 }, { "epoch": 0.56375, "grad_norm": 28.5, "grad_norm_var": 3.5660807291666665, "learning_rate": 0.0001, "loss": 7.2197, "loss/crossentropy": 2.150769717991352, "loss/hidden": 3.38828125, "loss/jsd": 0.0, "loss/logits": 0.20134973097592593, "step": 22550 }, { "epoch": 0.564, "grad_norm": 31.375, "grad_norm_var": 1.5135416666666666, "learning_rate": 0.0001, "loss": 7.2492, "loss/crossentropy": 2.00289306640625, "loss/hidden": 3.277734375, "loss/jsd": 0.0, "loss/logits": 0.17620294205844403, "step": 22560 }, { "epoch": 0.56425, "grad_norm": 31.25, "grad_norm_var": 1.3301432291666666, "learning_rate": 0.0001, "loss": 7.2268, "loss/crossentropy": 2.106088588386774, "loss/hidden": 3.379296875, "loss/jsd": 0.0, "loss/logits": 0.20606033485382796, "step": 22570 }, { "epoch": 0.5645, "grad_norm": 28.125, "grad_norm_var": 3.089583333333333, "learning_rate": 0.0001, "loss": 7.2221, "loss/crossentropy": 1.9868631184101104, "loss/hidden": 3.401953125, "loss/jsd": 0.0, "loss/logits": 0.17915018759667872, "step": 22580 }, { "epoch": 0.56475, "grad_norm": 31.625, "grad_norm_var": 2.951041666666667, "learning_rate": 0.0001, "loss": 7.4444, "loss/crossentropy": 2.104344055056572, "loss/hidden": 3.43359375, "loss/jsd": 0.0, "loss/logits": 0.19927312359213828, "step": 22590 }, { "epoch": 0.565, "grad_norm": 28.875, "grad_norm_var": 18.667643229166668, "learning_rate": 0.0001, "loss": 7.3948, "loss/crossentropy": 2.129189969599247, "loss/hidden": 3.409375, "loss/jsd": 0.0, "loss/logits": 0.2167124640196562, "step": 22600 }, { "epoch": 0.56525, "grad_norm": 31.625, "grad_norm_var": 18.68515625, "learning_rate": 0.0001, "loss": 7.3995, "loss/crossentropy": 2.0350073277950287, "loss/hidden": 3.36015625, "loss/jsd": 0.0, "loss/logits": 0.1885037964209914, "step": 22610 }, { "epoch": 0.5655, "grad_norm": 35.25, "grad_norm_var": 5.2375, "learning_rate": 0.0001, "loss": 7.1725, "loss/crossentropy": 1.988342931866646, "loss/hidden": 3.403515625, "loss/jsd": 0.0, "loss/logits": 0.1710897535085678, "step": 22620 }, { "epoch": 0.56575, "grad_norm": 29.75, "grad_norm_var": 3.592643229166667, "learning_rate": 0.0001, "loss": 7.3575, "loss/crossentropy": 2.1170627892017366, "loss/hidden": 3.47109375, "loss/jsd": 0.0, "loss/logits": 0.20078443121165038, "step": 22630 }, { "epoch": 0.566, "grad_norm": 29.25, "grad_norm_var": 2.0160807291666667, "learning_rate": 0.0001, "loss": 7.2549, "loss/crossentropy": 1.9923384763300418, "loss/hidden": 3.40859375, "loss/jsd": 0.0, "loss/logits": 0.2009210099466145, "step": 22640 }, { "epoch": 0.56625, "grad_norm": 30.125, "grad_norm_var": 2.9759765625, "learning_rate": 0.0001, "loss": 7.3738, "loss/crossentropy": 2.166072864830494, "loss/hidden": 3.28828125, "loss/jsd": 0.0, "loss/logits": 0.1796887915581465, "step": 22650 }, { "epoch": 0.5665, "grad_norm": 6274678784.0, "grad_norm_var": 2.46072459061866e+18, "learning_rate": 0.0001, "loss": 7.3881, "loss/crossentropy": 2.002020299434662, "loss/hidden": 3.456640625, "loss/jsd": 0.0, "loss/logits": 0.2040075208991766, "step": 22660 }, { "epoch": 0.56675, "grad_norm": 29.75, "grad_norm_var": 2.460724590599052e+18, "learning_rate": 0.0001, "loss": 7.3138, "loss/crossentropy": 2.0951256424188616, "loss/hidden": 3.3375, "loss/jsd": 0.0, "loss/logits": 0.17585320938378574, "step": 22670 }, { "epoch": 0.567, "grad_norm": 31.25, "grad_norm_var": 0.7947265625, "learning_rate": 0.0001, "loss": 7.302, "loss/crossentropy": 1.918744233250618, "loss/hidden": 3.339453125, "loss/jsd": 0.0, "loss/logits": 0.1783786091953516, "step": 22680 }, { "epoch": 0.56725, "grad_norm": 29.375, "grad_norm_var": 1.9080729166666666, "learning_rate": 0.0001, "loss": 7.3487, "loss/crossentropy": 2.0890044644474983, "loss/hidden": 3.31015625, "loss/jsd": 0.0, "loss/logits": 0.186820235196501, "step": 22690 }, { "epoch": 0.5675, "grad_norm": 32.25, "grad_norm_var": 2.16015625, "learning_rate": 0.0001, "loss": 7.3366, "loss/crossentropy": 2.0049152970314026, "loss/hidden": 3.364453125, "loss/jsd": 0.0, "loss/logits": 0.18571792878210544, "step": 22700 }, { "epoch": 0.56775, "grad_norm": 31.625, "grad_norm_var": 1.2119140625, "learning_rate": 0.0001, "loss": 7.3629, "loss/crossentropy": 2.188979035615921, "loss/hidden": 3.303515625, "loss/jsd": 0.0, "loss/logits": 0.18791910037398338, "step": 22710 }, { "epoch": 0.568, "grad_norm": 28.125, "grad_norm_var": 6.873958333333333, "learning_rate": 0.0001, "loss": 7.2721, "loss/crossentropy": 1.9086629442870617, "loss/hidden": 3.314453125, "loss/jsd": 0.0, "loss/logits": 0.1676910617388785, "step": 22720 }, { "epoch": 0.56825, "grad_norm": 29.375, "grad_norm_var": 4.77890625, "learning_rate": 0.0001, "loss": 7.2104, "loss/crossentropy": 1.9729705944657325, "loss/hidden": 3.31484375, "loss/jsd": 0.0, "loss/logits": 0.18355059083551167, "step": 22730 }, { "epoch": 0.5685, "grad_norm": 29.375, "grad_norm_var": 3.0416015625, "learning_rate": 0.0001, "loss": 7.3276, "loss/crossentropy": 1.983503246307373, "loss/hidden": 3.3828125, "loss/jsd": 0.0, "loss/logits": 0.1911757795140147, "step": 22740 }, { "epoch": 0.56875, "grad_norm": 30.5, "grad_norm_var": 2.209830729166667, "learning_rate": 0.0001, "loss": 7.3981, "loss/crossentropy": 2.0647961035370828, "loss/hidden": 3.37734375, "loss/jsd": 0.0, "loss/logits": 0.19169409601017834, "step": 22750 }, { "epoch": 0.569, "grad_norm": 28.5, "grad_norm_var": 2.794205729166667, "learning_rate": 0.0001, "loss": 7.3512, "loss/crossentropy": 2.0892448581755163, "loss/hidden": 3.3765625, "loss/jsd": 0.0, "loss/logits": 0.18739675851538778, "step": 22760 }, { "epoch": 0.56925, "grad_norm": 30.5, "grad_norm_var": 4.69375, "learning_rate": 0.0001, "loss": 7.3437, "loss/crossentropy": 2.052200788259506, "loss/hidden": 3.51875, "loss/jsd": 0.0, "loss/logits": 0.19390411972999572, "step": 22770 }, { "epoch": 0.5695, "grad_norm": 29.25, "grad_norm_var": 3.9322265625, "learning_rate": 0.0001, "loss": 7.2241, "loss/crossentropy": 2.2473602324724196, "loss/hidden": 3.26875, "loss/jsd": 0.0, "loss/logits": 0.18824474215507508, "step": 22780 }, { "epoch": 0.56975, "grad_norm": 30.0, "grad_norm_var": 3.1973307291666666, "learning_rate": 0.0001, "loss": 7.4546, "loss/crossentropy": 2.2174068212509157, "loss/hidden": 3.44765625, "loss/jsd": 0.0, "loss/logits": 0.2089033018797636, "step": 22790 }, { "epoch": 0.57, "grad_norm": 31.25, "grad_norm_var": 2.8775390625, "learning_rate": 0.0001, "loss": 7.2814, "loss/crossentropy": 2.098750987648964, "loss/hidden": 3.439453125, "loss/jsd": 0.0, "loss/logits": 0.18969560451805592, "step": 22800 }, { "epoch": 0.57025, "grad_norm": 29.0, "grad_norm_var": 4.448958333333334, "learning_rate": 0.0001, "loss": 7.3282, "loss/crossentropy": 2.2710734084248543, "loss/hidden": 3.3, "loss/jsd": 0.0, "loss/logits": 0.18953933827579023, "step": 22810 }, { "epoch": 0.5705, "grad_norm": 27.75, "grad_norm_var": 10.401041666666666, "learning_rate": 0.0001, "loss": 7.2824, "loss/crossentropy": 2.08201609402895, "loss/hidden": 3.215234375, "loss/jsd": 0.0, "loss/logits": 0.16761352298781276, "step": 22820 }, { "epoch": 0.57075, "grad_norm": 28.75, "grad_norm_var": 12.773893229166667, "learning_rate": 0.0001, "loss": 7.4861, "loss/crossentropy": 2.1187492191791533, "loss/hidden": 3.484765625, "loss/jsd": 0.0, "loss/logits": 0.19788370802998542, "step": 22830 }, { "epoch": 0.571, "grad_norm": 28.75, "grad_norm_var": 2.25625, "learning_rate": 0.0001, "loss": 7.34, "loss/crossentropy": 2.141358491778374, "loss/hidden": 3.31328125, "loss/jsd": 0.0, "loss/logits": 0.17862968128174544, "step": 22840 }, { "epoch": 0.57125, "grad_norm": 29.75, "grad_norm_var": 1.4372395833333333, "learning_rate": 0.0001, "loss": 7.3556, "loss/crossentropy": 2.159883065521717, "loss/hidden": 3.427734375, "loss/jsd": 0.0, "loss/logits": 0.20434525702148676, "step": 22850 }, { "epoch": 0.5715, "grad_norm": 29.375, "grad_norm_var": 1.6311848958333333, "learning_rate": 0.0001, "loss": 7.3261, "loss/crossentropy": 2.0141698867082596, "loss/hidden": 3.323046875, "loss/jsd": 0.0, "loss/logits": 0.17547854110598565, "step": 22860 }, { "epoch": 0.57175, "grad_norm": 27.875, "grad_norm_var": 1.8858723958333334, "learning_rate": 0.0001, "loss": 7.1736, "loss/crossentropy": 2.070405501127243, "loss/hidden": 3.28515625, "loss/jsd": 0.0, "loss/logits": 0.17701356951147318, "step": 22870 }, { "epoch": 0.572, "grad_norm": 33.75, "grad_norm_var": 57.8150390625, "learning_rate": 0.0001, "loss": 7.3726, "loss/crossentropy": 2.1324386440217493, "loss/hidden": 3.46328125, "loss/jsd": 0.0, "loss/logits": 0.20903213806450366, "step": 22880 }, { "epoch": 0.57225, "grad_norm": 30.125, "grad_norm_var": 57.978580729166666, "learning_rate": 0.0001, "loss": 7.2264, "loss/crossentropy": 2.056166473031044, "loss/hidden": 3.353515625, "loss/jsd": 0.0, "loss/logits": 0.19125475976616144, "step": 22890 }, { "epoch": 0.5725, "grad_norm": 29.0, "grad_norm_var": 2.1166015625, "learning_rate": 0.0001, "loss": 7.3529, "loss/crossentropy": 2.0231011360883713, "loss/hidden": 3.454296875, "loss/jsd": 0.0, "loss/logits": 0.19594160905107855, "step": 22900 }, { "epoch": 0.57275, "grad_norm": 30.5, "grad_norm_var": 2.2059895833333334, "learning_rate": 0.0001, "loss": 7.2611, "loss/crossentropy": 2.1009394943714144, "loss/hidden": 3.421875, "loss/jsd": 0.0, "loss/logits": 0.20553287640213966, "step": 22910 }, { "epoch": 0.573, "grad_norm": 27.625, "grad_norm_var": 2.99765625, "learning_rate": 0.0001, "loss": 7.2733, "loss/crossentropy": 2.1342287354171274, "loss/hidden": 3.35546875, "loss/jsd": 0.0, "loss/logits": 0.19136658031493425, "step": 22920 }, { "epoch": 0.57325, "grad_norm": 30.375, "grad_norm_var": 2.39765625, "learning_rate": 0.0001, "loss": 7.2991, "loss/crossentropy": 2.0322689548134805, "loss/hidden": 3.269921875, "loss/jsd": 0.0, "loss/logits": 0.17143328655511142, "step": 22930 }, { "epoch": 0.5735, "grad_norm": 29.0, "grad_norm_var": 1.94765625, "learning_rate": 0.0001, "loss": 7.278, "loss/crossentropy": 2.1039293974637987, "loss/hidden": 3.244140625, "loss/jsd": 0.0, "loss/logits": 0.1707957200706005, "step": 22940 }, { "epoch": 0.57375, "grad_norm": 29.75, "grad_norm_var": 3.2108723958333334, "learning_rate": 0.0001, "loss": 7.2094, "loss/crossentropy": 2.0728151589632033, "loss/hidden": 3.294921875, "loss/jsd": 0.0, "loss/logits": 0.17216427512466909, "step": 22950 }, { "epoch": 0.574, "grad_norm": 32.5, "grad_norm_var": 1.4358723958333333, "learning_rate": 0.0001, "loss": 7.3065, "loss/crossentropy": 2.161167304217815, "loss/hidden": 3.319140625, "loss/jsd": 0.0, "loss/logits": 0.18787571005523204, "step": 22960 }, { "epoch": 0.57425, "grad_norm": 29.375, "grad_norm_var": 2.8697916666666665, "learning_rate": 0.0001, "loss": 7.3397, "loss/crossentropy": 2.104795481264591, "loss/hidden": 3.309765625, "loss/jsd": 0.0, "loss/logits": 0.1772844972088933, "step": 22970 }, { "epoch": 0.5745, "grad_norm": 33.25, "grad_norm_var": 2.2395833333333335, "learning_rate": 0.0001, "loss": 7.3098, "loss/crossentropy": 2.170831048488617, "loss/hidden": 3.323046875, "loss/jsd": 0.0, "loss/logits": 0.1898819526657462, "step": 22980 }, { "epoch": 0.57475, "grad_norm": 29.375, "grad_norm_var": 1.8598307291666667, "learning_rate": 0.0001, "loss": 7.2474, "loss/crossentropy": 2.072402949631214, "loss/hidden": 3.4015625, "loss/jsd": 0.0, "loss/logits": 0.20032873265445234, "step": 22990 }, { "epoch": 0.575, "grad_norm": 29.5, "grad_norm_var": 2.0864583333333333, "learning_rate": 0.0001, "loss": 7.1527, "loss/crossentropy": 1.9359148509800435, "loss/hidden": 3.36953125, "loss/jsd": 0.0, "loss/logits": 0.17023193156346678, "step": 23000 }, { "epoch": 0.57525, "grad_norm": 31.0, "grad_norm_var": 10.963541666666666, "learning_rate": 0.0001, "loss": 7.3357, "loss/crossentropy": 2.1682570412755013, "loss/hidden": 3.41015625, "loss/jsd": 0.0, "loss/logits": 0.20298131536692382, "step": 23010 }, { "epoch": 0.5755, "grad_norm": 33.25, "grad_norm_var": 9.428125, "learning_rate": 0.0001, "loss": 7.3109, "loss/crossentropy": 2.045479938387871, "loss/hidden": 3.369921875, "loss/jsd": 0.0, "loss/logits": 0.18103279825299978, "step": 23020 }, { "epoch": 0.57575, "grad_norm": 30.75, "grad_norm_var": 2.339583333333333, "learning_rate": 0.0001, "loss": 7.3223, "loss/crossentropy": 2.197012846916914, "loss/hidden": 3.328515625, "loss/jsd": 0.0, "loss/logits": 0.1997917301952839, "step": 23030 }, { "epoch": 0.576, "grad_norm": 31.875, "grad_norm_var": 1.3955729166666666, "learning_rate": 0.0001, "loss": 7.328, "loss/crossentropy": 2.0420756086707117, "loss/hidden": 3.3671875, "loss/jsd": 0.0, "loss/logits": 0.19402425028383732, "step": 23040 }, { "epoch": 0.57625, "grad_norm": 30.375, "grad_norm_var": 1.7926432291666667, "learning_rate": 0.0001, "loss": 7.3225, "loss/crossentropy": 2.227956184744835, "loss/hidden": 3.33359375, "loss/jsd": 0.0, "loss/logits": 0.20268909279257058, "step": 23050 }, { "epoch": 0.5765, "grad_norm": 31.375, "grad_norm_var": 2.319205729166667, "learning_rate": 0.0001, "loss": 7.3548, "loss/crossentropy": 2.03707487732172, "loss/hidden": 3.4078125, "loss/jsd": 0.0, "loss/logits": 0.18702135644853116, "step": 23060 }, { "epoch": 0.57675, "grad_norm": 31.5, "grad_norm_var": 3.103261589190476e+18, "learning_rate": 0.0001, "loss": 7.3001, "loss/crossentropy": 2.2075371608138084, "loss/hidden": 3.287109375, "loss/jsd": 0.0, "loss/logits": 0.18566503124311567, "step": 23070 }, { "epoch": 0.577, "grad_norm": 36.25, "grad_norm_var": 4.934309895833334, "learning_rate": 0.0001, "loss": 7.244, "loss/crossentropy": 2.0198142036795614, "loss/hidden": 3.377734375, "loss/jsd": 0.0, "loss/logits": 0.18854798339307308, "step": 23080 }, { "epoch": 0.57725, "grad_norm": 32.5, "grad_norm_var": 6.170768229166667, "learning_rate": 0.0001, "loss": 7.3501, "loss/crossentropy": 2.1881318643689154, "loss/hidden": 3.32890625, "loss/jsd": 0.0, "loss/logits": 0.19292537569999696, "step": 23090 }, { "epoch": 0.5775, "grad_norm": 30.375, "grad_norm_var": 2.0249348958333333, "learning_rate": 0.0001, "loss": 7.2021, "loss/crossentropy": 2.0514975383877756, "loss/hidden": 3.390234375, "loss/jsd": 0.0, "loss/logits": 0.1834509514272213, "step": 23100 }, { "epoch": 0.57775, "grad_norm": 27.875, "grad_norm_var": 2.409375, "learning_rate": 0.0001, "loss": 7.2787, "loss/crossentropy": 1.8552511997520924, "loss/hidden": 3.31796875, "loss/jsd": 0.0, "loss/logits": 0.172595002502203, "step": 23110 }, { "epoch": 0.578, "grad_norm": 30.0, "grad_norm_var": 2.903580729166667, "learning_rate": 0.0001, "loss": 7.3178, "loss/crossentropy": 2.0356574684381483, "loss/hidden": 3.378125, "loss/jsd": 0.0, "loss/logits": 0.1825650293380022, "step": 23120 }, { "epoch": 0.57825, "grad_norm": 29.125, "grad_norm_var": 2.1791015625, "learning_rate": 0.0001, "loss": 7.2816, "loss/crossentropy": 1.8349962562322617, "loss/hidden": 3.39375, "loss/jsd": 0.0, "loss/logits": 0.18128557410091162, "step": 23130 }, { "epoch": 0.5785, "grad_norm": 30.5, "grad_norm_var": 1.8479166666666667, "learning_rate": 0.0001, "loss": 7.435, "loss/crossentropy": 1.9793405070900918, "loss/hidden": 3.430078125, "loss/jsd": 0.0, "loss/logits": 0.18810991439968347, "step": 23140 }, { "epoch": 0.57875, "grad_norm": 27.75, "grad_norm_var": 1.3958333333333333, "learning_rate": 0.0001, "loss": 7.3526, "loss/crossentropy": 2.2002530977129937, "loss/hidden": 3.287890625, "loss/jsd": 0.0, "loss/logits": 0.1851093016564846, "step": 23150 }, { "epoch": 0.579, "grad_norm": 30.375, "grad_norm_var": 9.785872395833334, "learning_rate": 0.0001, "loss": 7.2364, "loss/crossentropy": 1.8952147908508779, "loss/hidden": 3.3609375, "loss/jsd": 0.0, "loss/logits": 0.17190355882048608, "step": 23160 }, { "epoch": 0.57925, "grad_norm": 29.875, "grad_norm_var": 1.5212890625, "learning_rate": 0.0001, "loss": 7.3738, "loss/crossentropy": 2.0228386133909226, "loss/hidden": 3.455859375, "loss/jsd": 0.0, "loss/logits": 0.20162178240716458, "step": 23170 }, { "epoch": 0.5795, "grad_norm": 31.5, "grad_norm_var": 2.876822916666667, "learning_rate": 0.0001, "loss": 7.3244, "loss/crossentropy": 2.1140632264316084, "loss/hidden": 3.41640625, "loss/jsd": 0.0, "loss/logits": 0.18904146291315554, "step": 23180 }, { "epoch": 0.57975, "grad_norm": 31.875, "grad_norm_var": 2.46015625, "learning_rate": 0.0001, "loss": 7.3871, "loss/crossentropy": 2.046115532517433, "loss/hidden": 3.364453125, "loss/jsd": 0.0, "loss/logits": 0.1814727798104286, "step": 23190 }, { "epoch": 0.58, "grad_norm": 31.375, "grad_norm_var": 1.8806640625, "learning_rate": 0.0001, "loss": 7.2065, "loss/crossentropy": 2.09497309550643, "loss/hidden": 3.328515625, "loss/jsd": 0.0, "loss/logits": 0.18063673991709947, "step": 23200 }, { "epoch": 0.58025, "grad_norm": 30.875, "grad_norm_var": 1.7184895833333333, "learning_rate": 0.0001, "loss": 7.2516, "loss/crossentropy": 2.120602674782276, "loss/hidden": 3.3296875, "loss/jsd": 0.0, "loss/logits": 0.17760662753134965, "step": 23210 }, { "epoch": 0.5805, "grad_norm": 29.375, "grad_norm_var": 12.099739583333333, "learning_rate": 0.0001, "loss": 7.3189, "loss/crossentropy": 1.8746614530682564, "loss/hidden": 3.321875, "loss/jsd": 0.0, "loss/logits": 0.17366855386644603, "step": 23220 }, { "epoch": 0.58075, "grad_norm": 34.0, "grad_norm_var": 8.370572916666667, "learning_rate": 0.0001, "loss": 7.219, "loss/crossentropy": 1.9041770923882724, "loss/hidden": 3.337890625, "loss/jsd": 0.0, "loss/logits": 0.17128421002998948, "step": 23230 }, { "epoch": 0.581, "grad_norm": 29.375, "grad_norm_var": 2.69765625, "learning_rate": 0.0001, "loss": 7.2582, "loss/crossentropy": 2.141513818502426, "loss/hidden": 3.373046875, "loss/jsd": 0.0, "loss/logits": 0.19048179611563681, "step": 23240 }, { "epoch": 0.58125, "grad_norm": 30.375, "grad_norm_var": 3.5434895833333333, "learning_rate": 0.0001, "loss": 7.2658, "loss/crossentropy": 2.0868393763899804, "loss/hidden": 3.388671875, "loss/jsd": 0.0, "loss/logits": 0.19045372307300568, "step": 23250 }, { "epoch": 0.5815, "grad_norm": 29.375, "grad_norm_var": 5.077018229166667, "learning_rate": 0.0001, "loss": 7.2014, "loss/crossentropy": 2.101007029414177, "loss/hidden": 3.36328125, "loss/jsd": 0.0, "loss/logits": 0.1854638984426856, "step": 23260 }, { "epoch": 0.58175, "grad_norm": 31.125, "grad_norm_var": 218.71920572916667, "learning_rate": 0.0001, "loss": 7.3693, "loss/crossentropy": 1.9861895442008972, "loss/hidden": 3.498046875, "loss/jsd": 0.0, "loss/logits": 0.20660532703623175, "step": 23270 }, { "epoch": 0.582, "grad_norm": 28.625, "grad_norm_var": 225.99140625, "learning_rate": 0.0001, "loss": 7.2359, "loss/crossentropy": 1.9705702036619186, "loss/hidden": 3.25625, "loss/jsd": 0.0, "loss/logits": 0.1714084181934595, "step": 23280 }, { "epoch": 0.58225, "grad_norm": 33.25, "grad_norm_var": 1.9921223958333334, "learning_rate": 0.0001, "loss": 7.2894, "loss/crossentropy": 1.9414188079535961, "loss/hidden": 3.374609375, "loss/jsd": 0.0, "loss/logits": 0.18114634826779366, "step": 23290 }, { "epoch": 0.5825, "grad_norm": 29.625, "grad_norm_var": 3.2875, "learning_rate": 0.0001, "loss": 7.1979, "loss/crossentropy": 2.05298957452178, "loss/hidden": 3.316015625, "loss/jsd": 0.0, "loss/logits": 0.18091321904212238, "step": 23300 }, { "epoch": 0.58275, "grad_norm": 29.375, "grad_norm_var": 3.949934895833333, "learning_rate": 0.0001, "loss": 7.2295, "loss/crossentropy": 2.0978086851537228, "loss/hidden": 3.2453125, "loss/jsd": 0.0, "loss/logits": 0.17559153838083147, "step": 23310 }, { "epoch": 0.583, "grad_norm": 30.5, "grad_norm_var": 3.1143229166666666, "learning_rate": 0.0001, "loss": 7.3858, "loss/crossentropy": 2.1657110869884493, "loss/hidden": 3.28515625, "loss/jsd": 0.0, "loss/logits": 0.17203837148845197, "step": 23320 }, { "epoch": 0.58325, "grad_norm": 30.75, "grad_norm_var": 1.0768229166666667, "learning_rate": 0.0001, "loss": 7.3152, "loss/crossentropy": 2.141623441874981, "loss/hidden": 3.3359375, "loss/jsd": 0.0, "loss/logits": 0.19364709984511136, "step": 23330 }, { "epoch": 0.5835, "grad_norm": 30.625, "grad_norm_var": 4.070572916666666, "learning_rate": 0.0001, "loss": 7.2853, "loss/crossentropy": 2.1005776453763247, "loss/hidden": 3.31640625, "loss/jsd": 0.0, "loss/logits": 0.1824392621871084, "step": 23340 }, { "epoch": 0.58375, "grad_norm": 30.5, "grad_norm_var": 2.6770833333333335, "learning_rate": 0.0001, "loss": 7.2691, "loss/crossentropy": 2.182777139544487, "loss/hidden": 3.339453125, "loss/jsd": 0.0, "loss/logits": 0.19071639832109213, "step": 23350 }, { "epoch": 0.584, "grad_norm": 29.375, "grad_norm_var": 2.8061848958333333, "learning_rate": 0.0001, "loss": 7.2273, "loss/crossentropy": 2.005091509968042, "loss/hidden": 3.319140625, "loss/jsd": 0.0, "loss/logits": 0.17102911770343782, "step": 23360 }, { "epoch": 0.58425, "grad_norm": 31.125, "grad_norm_var": 3.6129557291666665, "learning_rate": 0.0001, "loss": 7.3946, "loss/crossentropy": 1.958120694756508, "loss/hidden": 3.47890625, "loss/jsd": 0.0, "loss/logits": 0.20584547519683838, "step": 23370 }, { "epoch": 0.5845, "grad_norm": 33.75, "grad_norm_var": 3.59765625, "learning_rate": 0.0001, "loss": 7.4152, "loss/crossentropy": 2.119162234663963, "loss/hidden": 3.400390625, "loss/jsd": 0.0, "loss/logits": 0.19411879703402518, "step": 23380 }, { "epoch": 0.58475, "grad_norm": 30.75, "grad_norm_var": 4.620572916666666, "learning_rate": 0.0001, "loss": 7.3097, "loss/crossentropy": 2.1464238077402116, "loss/hidden": 3.4796875, "loss/jsd": 0.0, "loss/logits": 0.19650665801018477, "step": 23390 }, { "epoch": 0.585, "grad_norm": 30.0, "grad_norm_var": 20.2478515625, "learning_rate": 0.0001, "loss": 7.4, "loss/crossentropy": 2.039510624855757, "loss/hidden": 3.37265625, "loss/jsd": 0.0, "loss/logits": 0.18683098405599594, "step": 23400 }, { "epoch": 0.58525, "grad_norm": 32.25, "grad_norm_var": 41.15, "learning_rate": 0.0001, "loss": 7.3072, "loss/crossentropy": 2.182946425676346, "loss/hidden": 3.33359375, "loss/jsd": 0.0, "loss/logits": 0.19105008877813817, "step": 23410 }, { "epoch": 0.5855, "grad_norm": 35.25, "grad_norm_var": 4.7994140625, "learning_rate": 0.0001, "loss": 7.3148, "loss/crossentropy": 2.0956947550177576, "loss/hidden": 3.43828125, "loss/jsd": 0.0, "loss/logits": 0.20151016414165496, "step": 23420 }, { "epoch": 0.58575, "grad_norm": 34.5, "grad_norm_var": 4.302018229166666, "learning_rate": 0.0001, "loss": 7.3171, "loss/crossentropy": 2.0624319493770598, "loss/hidden": 3.38359375, "loss/jsd": 0.0, "loss/logits": 0.17940568849444388, "step": 23430 }, { "epoch": 0.586, "grad_norm": 33.75, "grad_norm_var": 2.205208333333333, "learning_rate": 0.0001, "loss": 7.2999, "loss/crossentropy": 2.1612589955329895, "loss/hidden": 3.279296875, "loss/jsd": 0.0, "loss/logits": 0.18243170958012342, "step": 23440 }, { "epoch": 0.58625, "grad_norm": 43.0, "grad_norm_var": 16.95, "learning_rate": 0.0001, "loss": 7.3768, "loss/crossentropy": 2.119496448338032, "loss/hidden": 3.4359375, "loss/jsd": 0.0, "loss/logits": 0.21236374396830798, "step": 23450 }, { "epoch": 0.5865, "grad_norm": 30.5, "grad_norm_var": 16.997330729166666, "learning_rate": 0.0001, "loss": 7.2713, "loss/crossentropy": 2.226336379349232, "loss/hidden": 3.37109375, "loss/jsd": 0.0, "loss/logits": 0.18839403800666332, "step": 23460 }, { "epoch": 0.58675, "grad_norm": 30.25, "grad_norm_var": 5.237239583333333, "learning_rate": 0.0001, "loss": 7.1908, "loss/crossentropy": 2.0912389412522314, "loss/hidden": 3.446875, "loss/jsd": 0.0, "loss/logits": 0.18238936755806207, "step": 23470 }, { "epoch": 0.587, "grad_norm": 36.75, "grad_norm_var": 5.435416666666667, "learning_rate": 0.0001, "loss": 7.1305, "loss/crossentropy": 2.014119653403759, "loss/hidden": 3.308203125, "loss/jsd": 0.0, "loss/logits": 0.16768602933734655, "step": 23480 }, { "epoch": 0.58725, "grad_norm": 31.875, "grad_norm_var": 11.8509765625, "learning_rate": 0.0001, "loss": 7.2135, "loss/crossentropy": 2.193871647119522, "loss/hidden": 3.266796875, "loss/jsd": 0.0, "loss/logits": 0.1774727776646614, "step": 23490 }, { "epoch": 0.5875, "grad_norm": 30.5, "grad_norm_var": 8.875, "learning_rate": 0.0001, "loss": 7.2883, "loss/crossentropy": 1.9861755840480328, "loss/hidden": 3.36953125, "loss/jsd": 0.0, "loss/logits": 0.18203947991132735, "step": 23500 }, { "epoch": 0.58775, "grad_norm": 34.25, "grad_norm_var": 3.1697265625, "learning_rate": 0.0001, "loss": 7.3764, "loss/crossentropy": 2.1041073873639107, "loss/hidden": 3.298046875, "loss/jsd": 0.0, "loss/logits": 0.1823105582036078, "step": 23510 }, { "epoch": 0.588, "grad_norm": 28.75, "grad_norm_var": 6.472916666666666, "learning_rate": 0.0001, "loss": 7.2363, "loss/crossentropy": 2.0386205092072487, "loss/hidden": 3.39609375, "loss/jsd": 0.0, "loss/logits": 0.18798258919268845, "step": 23520 }, { "epoch": 0.58825, "grad_norm": 29.5, "grad_norm_var": 4.173958333333333, "learning_rate": 0.0001, "loss": 7.2541, "loss/crossentropy": 1.9665139004588128, "loss/hidden": 3.41640625, "loss/jsd": 0.0, "loss/logits": 0.19156214147806166, "step": 23530 }, { "epoch": 0.5885, "grad_norm": 28.375, "grad_norm_var": 2.6264973958333333, "learning_rate": 0.0001, "loss": 7.1821, "loss/crossentropy": 2.100816609710455, "loss/hidden": 3.336328125, "loss/jsd": 0.0, "loss/logits": 0.18041261453181506, "step": 23540 }, { "epoch": 0.58875, "grad_norm": 28.25, "grad_norm_var": 6.0681640625, "learning_rate": 0.0001, "loss": 7.2194, "loss/crossentropy": 2.160541406273842, "loss/hidden": 3.279296875, "loss/jsd": 0.0, "loss/logits": 0.18264771308749914, "step": 23550 }, { "epoch": 0.589, "grad_norm": 41.5, "grad_norm_var": 13.784309895833333, "learning_rate": 0.0001, "loss": 7.3172, "loss/crossentropy": 2.0907914683222772, "loss/hidden": 3.416796875, "loss/jsd": 0.0, "loss/logits": 0.19286628402769565, "step": 23560 }, { "epoch": 0.58925, "grad_norm": 26.25, "grad_norm_var": 33.94576822916667, "learning_rate": 0.0001, "loss": 7.0992, "loss/crossentropy": 2.035450255870819, "loss/hidden": 3.325, "loss/jsd": 0.0, "loss/logits": 0.17769902311265467, "step": 23570 }, { "epoch": 0.5895, "grad_norm": 29.375, "grad_norm_var": 31.033268229166666, "learning_rate": 0.0001, "loss": 7.2749, "loss/crossentropy": 2.011720988154411, "loss/hidden": 3.331640625, "loss/jsd": 0.0, "loss/logits": 0.18213979490101337, "step": 23580 }, { "epoch": 0.58975, "grad_norm": 28.0, "grad_norm_var": 39.16451822916667, "learning_rate": 0.0001, "loss": 7.2706, "loss/crossentropy": 2.0319022722542286, "loss/hidden": 3.330859375, "loss/jsd": 0.0, "loss/logits": 0.1784214310348034, "step": 23590 }, { "epoch": 0.59, "grad_norm": 43.25, "grad_norm_var": 43.842122395833336, "learning_rate": 0.0001, "loss": 7.2368, "loss/crossentropy": 2.042397302389145, "loss/hidden": 3.358984375, "loss/jsd": 0.0, "loss/logits": 0.17687461860477924, "step": 23600 }, { "epoch": 0.59025, "grad_norm": 32.75, "grad_norm_var": 13.026822916666667, "learning_rate": 0.0001, "loss": 7.2755, "loss/crossentropy": 1.9421588897705078, "loss/hidden": 3.371875, "loss/jsd": 0.0, "loss/logits": 0.1788268475793302, "step": 23610 }, { "epoch": 0.5905, "grad_norm": 32.25, "grad_norm_var": 7.690625, "learning_rate": 0.0001, "loss": 7.1561, "loss/crossentropy": 2.0542794331908225, "loss/hidden": 3.26796875, "loss/jsd": 0.0, "loss/logits": 0.16889538057148457, "step": 23620 }, { "epoch": 0.59075, "grad_norm": 33.5, "grad_norm_var": 10.685416666666667, "learning_rate": 0.0001, "loss": 7.1786, "loss/crossentropy": 2.0298443526029586, "loss/hidden": 3.36171875, "loss/jsd": 0.0, "loss/logits": 0.1826344771310687, "step": 23630 }, { "epoch": 0.591, "grad_norm": 39.5, "grad_norm_var": 11.2806640625, "learning_rate": 0.0001, "loss": 7.2082, "loss/crossentropy": 2.119662294536829, "loss/hidden": 3.30234375, "loss/jsd": 0.0, "loss/logits": 0.18428312726318835, "step": 23640 }, { "epoch": 0.59125, "grad_norm": 29.75, "grad_norm_var": 8.54765625, "learning_rate": 0.0001, "loss": 7.1784, "loss/crossentropy": 1.9878482483327389, "loss/hidden": 3.328515625, "loss/jsd": 0.0, "loss/logits": 0.18119903113692998, "step": 23650 }, { "epoch": 0.5915, "grad_norm": 30.75, "grad_norm_var": 2.0336566844344238e+18, "learning_rate": 0.0001, "loss": 7.3489, "loss/crossentropy": 1.8514883562922477, "loss/hidden": 3.5328125, "loss/jsd": 0.0, "loss/logits": 0.21164753548800946, "step": 23660 }, { "epoch": 0.59175, "grad_norm": 31.0, "grad_norm_var": 11.344791666666667, "learning_rate": 0.0001, "loss": 7.3203, "loss/crossentropy": 2.245069167017937, "loss/hidden": 3.361328125, "loss/jsd": 0.0, "loss/logits": 0.17927178423851728, "step": 23670 }, { "epoch": 0.592, "grad_norm": 29.0, "grad_norm_var": 413.53020833333335, "learning_rate": 0.0001, "loss": 7.2885, "loss/crossentropy": 2.0498727947473525, "loss/hidden": 3.408203125, "loss/jsd": 0.0, "loss/logits": 0.18411201229318977, "step": 23680 }, { "epoch": 0.59225, "grad_norm": 27.375, "grad_norm_var": 25.974934895833332, "learning_rate": 0.0001, "loss": 7.1401, "loss/crossentropy": 1.9942969411611557, "loss/hidden": 3.302734375, "loss/jsd": 0.0, "loss/logits": 0.16860720347613095, "step": 23690 }, { "epoch": 0.5925, "grad_norm": 29.875, "grad_norm_var": 8.026822916666667, "learning_rate": 0.0001, "loss": 7.2296, "loss/crossentropy": 2.0294051103293897, "loss/hidden": 3.26875, "loss/jsd": 0.0, "loss/logits": 0.18335335925221444, "step": 23700 }, { "epoch": 0.59275, "grad_norm": 28.5, "grad_norm_var": 9.404166666666667, "learning_rate": 0.0001, "loss": 7.272, "loss/crossentropy": 2.1226597487926484, "loss/hidden": 3.325, "loss/jsd": 0.0, "loss/logits": 0.17993064355105162, "step": 23710 }, { "epoch": 0.593, "grad_norm": 27.125, "grad_norm_var": 14.909375, "learning_rate": 0.0001, "loss": 7.2318, "loss/crossentropy": 2.154828441143036, "loss/hidden": 3.29375, "loss/jsd": 0.0, "loss/logits": 0.18905305583029985, "step": 23720 }, { "epoch": 0.59325, "grad_norm": 31.0, "grad_norm_var": 9.435416666666667, "learning_rate": 0.0001, "loss": 7.2639, "loss/crossentropy": 2.0010774195194245, "loss/hidden": 3.313671875, "loss/jsd": 0.0, "loss/logits": 0.1794521464034915, "step": 23730 }, { "epoch": 0.5935, "grad_norm": 31.875, "grad_norm_var": 7.265625, "learning_rate": 0.0001, "loss": 7.2917, "loss/crossentropy": 2.1218893982470037, "loss/hidden": 3.341796875, "loss/jsd": 0.0, "loss/logits": 0.17976281177252532, "step": 23740 }, { "epoch": 0.59375, "grad_norm": 29.875, "grad_norm_var": 5.7837890625, "learning_rate": 0.0001, "loss": 7.2556, "loss/crossentropy": 2.0276944383978845, "loss/hidden": 3.320703125, "loss/jsd": 0.0, "loss/logits": 0.1864795895293355, "step": 23750 }, { "epoch": 0.594, "grad_norm": 34.0, "grad_norm_var": 7.016666666666667, "learning_rate": 0.0001, "loss": 7.2928, "loss/crossentropy": 1.929387104511261, "loss/hidden": 3.30703125, "loss/jsd": 0.0, "loss/logits": 0.17239041812717915, "step": 23760 }, { "epoch": 0.59425, "grad_norm": 31.0, "grad_norm_var": 7.468489583333334, "learning_rate": 0.0001, "loss": 7.3058, "loss/crossentropy": 2.0659641668200495, "loss/hidden": 3.361328125, "loss/jsd": 0.0, "loss/logits": 0.1967785032466054, "step": 23770 }, { "epoch": 0.5945, "grad_norm": 28.375, "grad_norm_var": 5.722330729166667, "learning_rate": 0.0001, "loss": 7.2596, "loss/crossentropy": 2.0173033215105534, "loss/hidden": 3.3078125, "loss/jsd": 0.0, "loss/logits": 0.17501826863735914, "step": 23780 }, { "epoch": 0.59475, "grad_norm": 27.75, "grad_norm_var": 5.6806640625, "learning_rate": 0.0001, "loss": 7.3387, "loss/crossentropy": 2.063326106220484, "loss/hidden": 3.36796875, "loss/jsd": 0.0, "loss/logits": 0.181632025167346, "step": 23790 }, { "epoch": 0.595, "grad_norm": 29.0, "grad_norm_var": 5.265559895833333, "learning_rate": 0.0001, "loss": 7.3309, "loss/crossentropy": 2.200699530541897, "loss/hidden": 3.30859375, "loss/jsd": 0.0, "loss/logits": 0.1817481342703104, "step": 23800 }, { "epoch": 0.59525, "grad_norm": 40.5, "grad_norm_var": 3.8861138646518113e+18, "learning_rate": 0.0001, "loss": 7.3693, "loss/crossentropy": 2.1953633323311808, "loss/hidden": 3.3140625, "loss/jsd": 0.0, "loss/logits": 0.18916522301733493, "step": 23810 }, { "epoch": 0.5955, "grad_norm": 29.125, "grad_norm_var": 1.1892317594268467e+18, "learning_rate": 0.0001, "loss": 7.1476, "loss/crossentropy": 2.100045497715473, "loss/hidden": 3.364453125, "loss/jsd": 0.0, "loss/logits": 0.18449472673237324, "step": 23820 }, { "epoch": 0.59575, "grad_norm": 29.875, "grad_norm_var": 7.113541666666666, "learning_rate": 0.0001, "loss": 7.2694, "loss/crossentropy": 2.13639819920063, "loss/hidden": 3.260546875, "loss/jsd": 0.0, "loss/logits": 0.18081072345376015, "step": 23830 }, { "epoch": 0.596, "grad_norm": 32.75, "grad_norm_var": 10.190625, "learning_rate": 0.0001, "loss": 7.4218, "loss/crossentropy": 2.0917629063129426, "loss/hidden": 3.3, "loss/jsd": 0.0, "loss/logits": 0.20855254549533128, "step": 23840 }, { "epoch": 0.59625, "grad_norm": 35.25, "grad_norm_var": 7.001822916666667, "learning_rate": 0.0001, "loss": 7.3759, "loss/crossentropy": 2.1656418085098266, "loss/hidden": 3.341015625, "loss/jsd": 0.0, "loss/logits": 0.1982706617563963, "step": 23850 }, { "epoch": 0.5965, "grad_norm": 30.625, "grad_norm_var": 14.1806640625, "learning_rate": 0.0001, "loss": 7.3419, "loss/crossentropy": 1.978961955010891, "loss/hidden": 3.429296875, "loss/jsd": 0.0, "loss/logits": 0.19264845587313176, "step": 23860 }, { "epoch": 0.59675, "grad_norm": 28.75, "grad_norm_var": 9.461458333333333, "learning_rate": 0.0001, "loss": 7.1425, "loss/crossentropy": 2.064087450504303, "loss/hidden": 3.2859375, "loss/jsd": 0.0, "loss/logits": 0.18434563372284174, "step": 23870 }, { "epoch": 0.597, "grad_norm": 32.0, "grad_norm_var": 3.3979166666666667, "learning_rate": 0.0001, "loss": 7.2846, "loss/crossentropy": 2.2514883071184157, "loss/hidden": 3.32578125, "loss/jsd": 0.0, "loss/logits": 0.1978050796315074, "step": 23880 }, { "epoch": 0.59725, "grad_norm": 29.375, "grad_norm_var": 2.5010416666666666, "learning_rate": 0.0001, "loss": 7.3878, "loss/crossentropy": 2.1330555945634844, "loss/hidden": 3.3546875, "loss/jsd": 0.0, "loss/logits": 0.1861652435734868, "step": 23890 }, { "epoch": 0.5975, "grad_norm": 33.25, "grad_norm_var": 5.234309895833333, "learning_rate": 0.0001, "loss": 7.2809, "loss/crossentropy": 2.15719972550869, "loss/hidden": 3.323046875, "loss/jsd": 0.0, "loss/logits": 0.18762489072978497, "step": 23900 }, { "epoch": 0.59775, "grad_norm": 28.125, "grad_norm_var": 9.90625, "learning_rate": 0.0001, "loss": 7.3282, "loss/crossentropy": 2.2501418024301527, "loss/hidden": 3.288671875, "loss/jsd": 0.0, "loss/logits": 0.18364315424114466, "step": 23910 }, { "epoch": 0.598, "grad_norm": 7885291520.0, "grad_norm_var": 3.8861138654567685e+18, "learning_rate": 0.0001, "loss": 7.4436, "loss/crossentropy": 1.849592723697424, "loss/hidden": 3.33828125, "loss/jsd": 0.0, "loss/logits": 0.1732720138505101, "step": 23920 }, { "epoch": 0.59825, "grad_norm": 35.25, "grad_norm_var": 3.886113865095359e+18, "learning_rate": 0.0001, "loss": 7.3624, "loss/crossentropy": 2.0290102303028106, "loss/hidden": 3.36640625, "loss/jsd": 0.0, "loss/logits": 0.19378960439935328, "step": 23930 }, { "epoch": 0.5985, "grad_norm": 28.25, "grad_norm_var": 4.639322916666667, "learning_rate": 0.0001, "loss": 7.2436, "loss/crossentropy": 1.921845416724682, "loss/hidden": 3.34140625, "loss/jsd": 0.0, "loss/logits": 0.19508706871420145, "step": 23940 }, { "epoch": 0.59875, "grad_norm": 33.25, "grad_norm_var": 3.9879557291666665, "learning_rate": 0.0001, "loss": 7.2391, "loss/crossentropy": 2.113616520166397, "loss/hidden": 3.190234375, "loss/jsd": 0.0, "loss/logits": 0.1806779010221362, "step": 23950 }, { "epoch": 0.599, "grad_norm": 31.5, "grad_norm_var": 4.765559895833333, "learning_rate": 0.0001, "loss": 7.2259, "loss/crossentropy": 2.0889094918966293, "loss/hidden": 3.372265625, "loss/jsd": 0.0, "loss/logits": 0.19335521198809147, "step": 23960 }, { "epoch": 0.59925, "grad_norm": 29.25, "grad_norm_var": 4.7759765625, "learning_rate": 0.0001, "loss": 7.3169, "loss/crossentropy": 2.0757755756378176, "loss/hidden": 3.334765625, "loss/jsd": 0.0, "loss/logits": 0.18353872746229172, "step": 23970 }, { "epoch": 0.5995, "grad_norm": 30.625, "grad_norm_var": 3.417122395833333, "learning_rate": 0.0001, "loss": 7.354, "loss/crossentropy": 2.151854282617569, "loss/hidden": 3.40234375, "loss/jsd": 0.0, "loss/logits": 0.18792435489594936, "step": 23980 }, { "epoch": 0.59975, "grad_norm": 30.75, "grad_norm_var": 15.67890625, "learning_rate": 0.0001, "loss": 7.3461, "loss/crossentropy": 1.9950793728232383, "loss/hidden": 3.3421875, "loss/jsd": 0.0, "loss/logits": 0.20234323088079692, "step": 23990 }, { "epoch": 0.6, "grad_norm": 29.875, "grad_norm_var": 20.184309895833334, "learning_rate": 0.0001, "loss": 7.2263, "loss/crossentropy": 1.9956952631473541, "loss/hidden": 3.4046875, "loss/jsd": 0.0, "loss/logits": 0.18217481905594468, "step": 24000 }, { "epoch": 0.60025, "grad_norm": 38.0, "grad_norm_var": 9.999739583333334, "learning_rate": 0.0001, "loss": 7.3267, "loss/crossentropy": 2.0959785729646683, "loss/hidden": 3.436328125, "loss/jsd": 0.0, "loss/logits": 0.1935113796964288, "step": 24010 }, { "epoch": 0.6005, "grad_norm": 32.75, "grad_norm_var": 5.863997395833334, "learning_rate": 0.0001, "loss": 7.2052, "loss/crossentropy": 2.023172339051962, "loss/hidden": 3.32890625, "loss/jsd": 0.0, "loss/logits": 0.17665521912276744, "step": 24020 }, { "epoch": 0.60075, "grad_norm": 30.0, "grad_norm_var": 2.0645182291666666, "learning_rate": 0.0001, "loss": 7.3997, "loss/crossentropy": 2.044221018254757, "loss/hidden": 3.3171875, "loss/jsd": 0.0, "loss/logits": 0.17454885710030793, "step": 24030 }, { "epoch": 0.601, "grad_norm": 29.375, "grad_norm_var": 3.1791015625, "learning_rate": 0.0001, "loss": 7.4056, "loss/crossentropy": 2.017246203124523, "loss/hidden": 3.40078125, "loss/jsd": 0.0, "loss/logits": 0.19033315852284433, "step": 24040 }, { "epoch": 0.60125, "grad_norm": 34.0, "grad_norm_var": 7304.769791666667, "learning_rate": 0.0001, "loss": 7.3027, "loss/crossentropy": 2.0873162485659122, "loss/hidden": 3.305078125, "loss/jsd": 0.0, "loss/logits": 0.1803006211295724, "step": 24050 }, { "epoch": 0.6015, "grad_norm": 42.0, "grad_norm_var": 7222.07265625, "learning_rate": 0.0001, "loss": 7.3271, "loss/crossentropy": 2.089706966280937, "loss/hidden": 3.2859375, "loss/jsd": 0.0, "loss/logits": 0.17721448224037886, "step": 24060 }, { "epoch": 0.60175, "grad_norm": 28.5, "grad_norm_var": 17.274934895833333, "learning_rate": 0.0001, "loss": 7.2893, "loss/crossentropy": 2.1399046301841738, "loss/hidden": 3.32421875, "loss/jsd": 0.0, "loss/logits": 0.17965221870690584, "step": 24070 }, { "epoch": 0.602, "grad_norm": 27.875, "grad_norm_var": 3.4098307291666665, "learning_rate": 0.0001, "loss": 7.2298, "loss/crossentropy": 2.232226923108101, "loss/hidden": 3.319140625, "loss/jsd": 0.0, "loss/logits": 0.17638658490031958, "step": 24080 }, { "epoch": 0.60225, "grad_norm": 29.375, "grad_norm_var": 2.467643229166667, "learning_rate": 0.0001, "loss": 7.2752, "loss/crossentropy": 2.0909645952284337, "loss/hidden": 3.324609375, "loss/jsd": 0.0, "loss/logits": 0.18019966538995505, "step": 24090 }, { "epoch": 0.6025, "grad_norm": 33.25, "grad_norm_var": 4.315559895833333, "learning_rate": 0.0001, "loss": 7.1836, "loss/crossentropy": 2.043725144863129, "loss/hidden": 3.328515625, "loss/jsd": 0.0, "loss/logits": 0.1770002892240882, "step": 24100 }, { "epoch": 0.60275, "grad_norm": 32.75, "grad_norm_var": 2.894791666666667, "learning_rate": 0.0001, "loss": 7.2902, "loss/crossentropy": 2.09500589966774, "loss/hidden": 3.276953125, "loss/jsd": 0.0, "loss/logits": 0.18369378615170717, "step": 24110 }, { "epoch": 0.603, "grad_norm": 27.125, "grad_norm_var": 5.116080729166667, "learning_rate": 0.0001, "loss": 7.3256, "loss/crossentropy": 1.9551431708037854, "loss/hidden": 3.280859375, "loss/jsd": 0.0, "loss/logits": 0.19141522590070964, "step": 24120 }, { "epoch": 0.60325, "grad_norm": 28.75, "grad_norm_var": 5.28125, "learning_rate": 0.0001, "loss": 7.248, "loss/crossentropy": 1.9168051473796368, "loss/hidden": 3.31875, "loss/jsd": 0.0, "loss/logits": 0.17059860788285733, "step": 24130 }, { "epoch": 0.6035, "grad_norm": 28.25, "grad_norm_var": 4.403059895833334, "learning_rate": 0.0001, "loss": 7.432, "loss/crossentropy": 1.9579944089055061, "loss/hidden": 3.42421875, "loss/jsd": 0.0, "loss/logits": 0.20447726584970952, "step": 24140 }, { "epoch": 0.60375, "grad_norm": 29.125, "grad_norm_var": 5.737955729166667, "learning_rate": 0.0001, "loss": 7.4361, "loss/crossentropy": 2.150589424371719, "loss/hidden": 3.359375, "loss/jsd": 0.0, "loss/logits": 0.20431780871003866, "step": 24150 }, { "epoch": 0.604, "grad_norm": 29.875, "grad_norm_var": 8.734309895833333, "learning_rate": 0.0001, "loss": 7.3029, "loss/crossentropy": 2.104359980672598, "loss/hidden": 3.314453125, "loss/jsd": 0.0, "loss/logits": 0.19141491586342455, "step": 24160 }, { "epoch": 0.60425, "grad_norm": 32.25, "grad_norm_var": 4.3416015625, "learning_rate": 0.0001, "loss": 7.3517, "loss/crossentropy": 2.0446281746029853, "loss/hidden": 3.35078125, "loss/jsd": 0.0, "loss/logits": 0.18326206738129258, "step": 24170 }, { "epoch": 0.6045, "grad_norm": 34.5, "grad_norm_var": 35.74791666666667, "learning_rate": 0.0001, "loss": 7.1912, "loss/crossentropy": 1.9954920992255212, "loss/hidden": 3.32578125, "loss/jsd": 0.0, "loss/logits": 0.17927296683192254, "step": 24180 }, { "epoch": 0.60475, "grad_norm": 326.0, "grad_norm_var": 5441.927018229167, "learning_rate": 0.0001, "loss": 7.3115, "loss/crossentropy": 1.9973294004797935, "loss/hidden": 3.415625, "loss/jsd": 0.0, "loss/logits": 0.20168818794190885, "step": 24190 }, { "epoch": 0.605, "grad_norm": 30.25, "grad_norm_var": 5427.784309895834, "learning_rate": 0.0001, "loss": 7.3283, "loss/crossentropy": 2.075428619980812, "loss/hidden": 3.2828125, "loss/jsd": 0.0, "loss/logits": 0.1890948511660099, "step": 24200 }, { "epoch": 0.60525, "grad_norm": 37.5, "grad_norm_var": 18.364583333333332, "learning_rate": 0.0001, "loss": 7.3213, "loss/crossentropy": 2.072233888506889, "loss/hidden": 3.25, "loss/jsd": 0.0, "loss/logits": 0.17045267168432474, "step": 24210 }, { "epoch": 0.6055, "grad_norm": 28.5, "grad_norm_var": 6.415559895833334, "learning_rate": 0.0001, "loss": 7.3117, "loss/crossentropy": 2.1279248766601087, "loss/hidden": 3.287109375, "loss/jsd": 0.0, "loss/logits": 0.17065610643476248, "step": 24220 }, { "epoch": 0.60575, "grad_norm": 27.375, "grad_norm_var": 1.4393229166666666, "learning_rate": 0.0001, "loss": 7.1783, "loss/crossentropy": 2.0654909342527388, "loss/hidden": 3.29921875, "loss/jsd": 0.0, "loss/logits": 0.1788815937936306, "step": 24230 }, { "epoch": 0.606, "grad_norm": 28.75, "grad_norm_var": 2.3931640625, "learning_rate": 0.0001, "loss": 7.2818, "loss/crossentropy": 1.8843905299901962, "loss/hidden": 3.484765625, "loss/jsd": 0.0, "loss/logits": 0.20363699235022067, "step": 24240 }, { "epoch": 0.60625, "grad_norm": 30.5, "grad_norm_var": 1.3238932291666667, "learning_rate": 0.0001, "loss": 7.2077, "loss/crossentropy": 2.0136945739388468, "loss/hidden": 3.2890625, "loss/jsd": 0.0, "loss/logits": 0.169308259524405, "step": 24250 }, { "epoch": 0.6065, "grad_norm": 30.25, "grad_norm_var": 2.241080729166667, "learning_rate": 0.0001, "loss": 7.3067, "loss/crossentropy": 2.06818515509367, "loss/hidden": 3.378515625, "loss/jsd": 0.0, "loss/logits": 0.18866120781749487, "step": 24260 }, { "epoch": 0.60675, "grad_norm": 30.25, "grad_norm_var": 2.923958333333333, "learning_rate": 0.0001, "loss": 7.35, "loss/crossentropy": 2.1705613493919373, "loss/hidden": 3.328125, "loss/jsd": 0.0, "loss/logits": 0.18546785078942776, "step": 24270 }, { "epoch": 0.607, "grad_norm": 29.75, "grad_norm_var": 17.083333333333332, "learning_rate": 0.0001, "loss": 7.2704, "loss/crossentropy": 2.1217471458017827, "loss/hidden": 3.42890625, "loss/jsd": 0.0, "loss/logits": 0.20033492222428323, "step": 24280 }, { "epoch": 0.60725, "grad_norm": 32.5, "grad_norm_var": 14.017643229166667, "learning_rate": 0.0001, "loss": 7.3065, "loss/crossentropy": 2.013144116103649, "loss/hidden": 3.31015625, "loss/jsd": 0.0, "loss/logits": 0.18037521606311202, "step": 24290 }, { "epoch": 0.6075, "grad_norm": 31.5, "grad_norm_var": 41.54765625, "learning_rate": 0.0001, "loss": 7.3413, "loss/crossentropy": 1.9536602176725864, "loss/hidden": 3.42265625, "loss/jsd": 0.0, "loss/logits": 0.1871596833691001, "step": 24300 }, { "epoch": 0.60775, "grad_norm": 29.25, "grad_norm_var": 45.2791015625, "learning_rate": 0.0001, "loss": 7.3009, "loss/crossentropy": 2.122793934494257, "loss/hidden": 3.352734375, "loss/jsd": 0.0, "loss/logits": 0.18271594103425742, "step": 24310 }, { "epoch": 0.608, "grad_norm": 32.0, "grad_norm_var": 1.7455729166666667, "learning_rate": 0.0001, "loss": 7.3036, "loss/crossentropy": 1.9508492700755595, "loss/hidden": 3.423046875, "loss/jsd": 0.0, "loss/logits": 0.1780675446614623, "step": 24320 }, { "epoch": 0.60825, "grad_norm": 30.0, "grad_norm_var": 3.0426432291666665, "learning_rate": 0.0001, "loss": 7.3479, "loss/crossentropy": 2.091268266737461, "loss/hidden": 3.303515625, "loss/jsd": 0.0, "loss/logits": 0.1819396572187543, "step": 24330 }, { "epoch": 0.6085, "grad_norm": 31.0, "grad_norm_var": 2.6900390625, "learning_rate": 0.0001, "loss": 7.3685, "loss/crossentropy": 2.1921914756298064, "loss/hidden": 3.373828125, "loss/jsd": 0.0, "loss/logits": 0.19144053254276513, "step": 24340 }, { "epoch": 0.60875, "grad_norm": 29.875, "grad_norm_var": 3547.4488932291665, "learning_rate": 0.0001, "loss": 7.32, "loss/crossentropy": 2.0454428791999817, "loss/hidden": 3.33984375, "loss/jsd": 0.0, "loss/logits": 0.19868660382926465, "step": 24350 }, { "epoch": 0.609, "grad_norm": 31.5, "grad_norm_var": 1.9535807291666667, "learning_rate": 0.0001, "loss": 7.2958, "loss/crossentropy": 1.978618311882019, "loss/hidden": 3.36484375, "loss/jsd": 0.0, "loss/logits": 0.1801746640354395, "step": 24360 }, { "epoch": 0.60925, "grad_norm": 29.625, "grad_norm_var": 3.381705729166667, "learning_rate": 0.0001, "loss": 7.2396, "loss/crossentropy": 2.011453700065613, "loss/hidden": 3.285546875, "loss/jsd": 0.0, "loss/logits": 0.17533374354243278, "step": 24370 }, { "epoch": 0.6095, "grad_norm": 34.5, "grad_norm_var": 4.911393229166666, "learning_rate": 0.0001, "loss": 7.2557, "loss/crossentropy": 2.1272184163331986, "loss/hidden": 3.395703125, "loss/jsd": 0.0, "loss/logits": 0.19443935044109822, "step": 24380 }, { "epoch": 0.60975, "grad_norm": 29.5, "grad_norm_var": 3.5712890625, "learning_rate": 0.0001, "loss": 7.3372, "loss/crossentropy": 2.0613644808530807, "loss/hidden": 3.41953125, "loss/jsd": 0.0, "loss/logits": 0.1952214989811182, "step": 24390 }, { "epoch": 0.61, "grad_norm": 30.875, "grad_norm_var": 2.2291666666666665, "learning_rate": 0.0001, "loss": 7.3664, "loss/crossentropy": 2.082505702972412, "loss/hidden": 3.404296875, "loss/jsd": 0.0, "loss/logits": 0.1836231516674161, "step": 24400 }, { "epoch": 0.61025, "grad_norm": 32.0, "grad_norm_var": 1.94140625, "learning_rate": 0.0001, "loss": 7.4019, "loss/crossentropy": 1.964651158452034, "loss/hidden": 3.501953125, "loss/jsd": 0.0, "loss/logits": 0.18479474298655987, "step": 24410 }, { "epoch": 0.6105, "grad_norm": 30.625, "grad_norm_var": 1.1181640625, "learning_rate": 0.0001, "loss": 7.3918, "loss/crossentropy": 2.0536778286099433, "loss/hidden": 3.47734375, "loss/jsd": 0.0, "loss/logits": 0.2254286851733923, "step": 24420 }, { "epoch": 0.61075, "grad_norm": 28.625, "grad_norm_var": 1.8384765625, "learning_rate": 0.0001, "loss": 7.2519, "loss/crossentropy": 2.0931551665067674, "loss/hidden": 3.461328125, "loss/jsd": 0.0, "loss/logits": 0.19350009728223086, "step": 24430 }, { "epoch": 0.611, "grad_norm": 28.625, "grad_norm_var": 2.3259765625, "learning_rate": 0.0001, "loss": 7.2784, "loss/crossentropy": 2.1479686103761195, "loss/hidden": 3.271875, "loss/jsd": 0.0, "loss/logits": 0.17983189076185227, "step": 24440 }, { "epoch": 0.61125, "grad_norm": 32.75, "grad_norm_var": 7.439322916666667, "learning_rate": 0.0001, "loss": 7.4267, "loss/crossentropy": 2.171735206246376, "loss/hidden": 3.4703125, "loss/jsd": 0.0, "loss/logits": 0.20030937865376472, "step": 24450 }, { "epoch": 0.6115, "grad_norm": 30.375, "grad_norm_var": 2.9629557291666666, "learning_rate": 0.0001, "loss": 7.2518, "loss/crossentropy": 1.9000327825546264, "loss/hidden": 3.44375, "loss/jsd": 0.0, "loss/logits": 0.1778967533260584, "step": 24460 }, { "epoch": 0.61175, "grad_norm": 29.0, "grad_norm_var": 3.87265625, "learning_rate": 0.0001, "loss": 7.3163, "loss/crossentropy": 2.1398353300988675, "loss/hidden": 3.353515625, "loss/jsd": 0.0, "loss/logits": 0.1760717548429966, "step": 24470 }, { "epoch": 0.612, "grad_norm": 32.25, "grad_norm_var": 4.654166666666667, "learning_rate": 0.0001, "loss": 7.3402, "loss/crossentropy": 2.0892323054373265, "loss/hidden": 3.377734375, "loss/jsd": 0.0, "loss/logits": 0.18320874478667976, "step": 24480 }, { "epoch": 0.61225, "grad_norm": 28.25, "grad_norm_var": 26.684375, "learning_rate": 0.0001, "loss": 7.3876, "loss/crossentropy": 1.9319149151444435, "loss/hidden": 3.378125, "loss/jsd": 0.0, "loss/logits": 0.18836453650146723, "step": 24490 }, { "epoch": 0.6125, "grad_norm": 28.625, "grad_norm_var": 33.487239583333334, "learning_rate": 0.0001, "loss": 7.3939, "loss/crossentropy": 2.1875485301017763, "loss/hidden": 3.393359375, "loss/jsd": 0.0, "loss/logits": 0.17974788155406712, "step": 24500 }, { "epoch": 0.61275, "grad_norm": 28.0, "grad_norm_var": 16.7, "learning_rate": 0.0001, "loss": 7.2364, "loss/crossentropy": 2.050992714613676, "loss/hidden": 3.415625, "loss/jsd": 0.0, "loss/logits": 0.1952893292531371, "step": 24510 }, { "epoch": 0.613, "grad_norm": 30.75, "grad_norm_var": 9.8212890625, "learning_rate": 0.0001, "loss": 7.3393, "loss/crossentropy": 2.1732106573879717, "loss/hidden": 3.3359375, "loss/jsd": 0.0, "loss/logits": 0.1879525838419795, "step": 24520 }, { "epoch": 0.61325, "grad_norm": 31.375, "grad_norm_var": 18.480989583333333, "learning_rate": 0.0001, "loss": 7.3735, "loss/crossentropy": 2.038769894838333, "loss/hidden": 3.3671875, "loss/jsd": 0.0, "loss/logits": 0.18006683513522148, "step": 24530 }, { "epoch": 0.6135, "grad_norm": 52.25, "grad_norm_var": 3.436879802679899e+18, "learning_rate": 0.0001, "loss": 7.2147, "loss/crossentropy": 2.0876556798815726, "loss/hidden": 3.469140625, "loss/jsd": 0.0, "loss/logits": 0.19918184336274863, "step": 24540 }, { "epoch": 0.61375, "grad_norm": 29.625, "grad_norm_var": 3.4368798033364823e+18, "learning_rate": 0.0001, "loss": 7.3947, "loss/crossentropy": 2.115431872010231, "loss/hidden": 3.404296875, "loss/jsd": 0.0, "loss/logits": 0.19660551697015763, "step": 24550 }, { "epoch": 0.614, "grad_norm": 29.875, "grad_norm_var": 10.852018229166667, "learning_rate": 0.0001, "loss": 7.1815, "loss/crossentropy": 2.01566364467144, "loss/hidden": 3.36015625, "loss/jsd": 0.0, "loss/logits": 0.1908690959215164, "step": 24560 }, { "epoch": 0.61425, "grad_norm": 29.25, "grad_norm_var": 10.713541666666666, "learning_rate": 0.0001, "loss": 7.2148, "loss/crossentropy": 1.9971563063561917, "loss/hidden": 3.437890625, "loss/jsd": 0.0, "loss/logits": 0.19316924586892129, "step": 24570 }, { "epoch": 0.6145, "grad_norm": 28.75, "grad_norm_var": 5.447330729166667, "learning_rate": 0.0001, "loss": 7.295, "loss/crossentropy": 2.1087226420640945, "loss/hidden": 3.42578125, "loss/jsd": 0.0, "loss/logits": 0.1953347373753786, "step": 24580 }, { "epoch": 0.61475, "grad_norm": 31.75, "grad_norm_var": 3.9184895833333333, "learning_rate": 0.0001, "loss": 7.2813, "loss/crossentropy": 2.0959045618772505, "loss/hidden": 3.362890625, "loss/jsd": 0.0, "loss/logits": 0.183117344789207, "step": 24590 }, { "epoch": 0.615, "grad_norm": 31.0, "grad_norm_var": 4.040559895833334, "learning_rate": 0.0001, "loss": 7.2361, "loss/crossentropy": 1.9878082022070884, "loss/hidden": 3.31875, "loss/jsd": 0.0, "loss/logits": 0.17381655257195233, "step": 24600 }, { "epoch": 0.61525, "grad_norm": 30.875, "grad_norm_var": 5.760416666666667, "learning_rate": 0.0001, "loss": 7.3343, "loss/crossentropy": 1.9321263507008553, "loss/hidden": 3.39296875, "loss/jsd": 0.0, "loss/logits": 0.1903281847015023, "step": 24610 }, { "epoch": 0.6155, "grad_norm": 31.25, "grad_norm_var": 5.926822916666667, "learning_rate": 0.0001, "loss": 7.2588, "loss/crossentropy": 2.2268902391195295, "loss/hidden": 3.31953125, "loss/jsd": 0.0, "loss/logits": 0.19283902421593666, "step": 24620 }, { "epoch": 0.61575, "grad_norm": 30.125, "grad_norm_var": 3.1416015625, "learning_rate": 0.0001, "loss": 7.3226, "loss/crossentropy": 2.0439958930015565, "loss/hidden": 3.393359375, "loss/jsd": 0.0, "loss/logits": 0.18890973944216966, "step": 24630 }, { "epoch": 0.616, "grad_norm": 34.0, "grad_norm_var": 2.653059895833333, "learning_rate": 0.0001, "loss": 7.2599, "loss/crossentropy": 1.945370616018772, "loss/hidden": 3.35625, "loss/jsd": 0.0, "loss/logits": 0.17533454354852437, "step": 24640 }, { "epoch": 0.61625, "grad_norm": 29.625, "grad_norm_var": 6.738541666666666, "learning_rate": 0.0001, "loss": 7.2148, "loss/crossentropy": 1.991739486157894, "loss/hidden": 3.35390625, "loss/jsd": 0.0, "loss/logits": 0.18211280852556228, "step": 24650 }, { "epoch": 0.6165, "grad_norm": 29.25, "grad_norm_var": 14.560416666666667, "learning_rate": 0.0001, "loss": 7.3611, "loss/crossentropy": 2.075421932339668, "loss/hidden": 3.453515625, "loss/jsd": 0.0, "loss/logits": 0.19871473647654056, "step": 24660 }, { "epoch": 0.61675, "grad_norm": 29.75, "grad_norm_var": 12.080989583333333, "learning_rate": 0.0001, "loss": 7.239, "loss/crossentropy": 2.008017046749592, "loss/hidden": 3.27265625, "loss/jsd": 0.0, "loss/logits": 0.17111360877752305, "step": 24670 }, { "epoch": 0.617, "grad_norm": 28.25, "grad_norm_var": 8.795833333333333, "learning_rate": 0.0001, "loss": 7.2497, "loss/crossentropy": 1.9377702206373215, "loss/hidden": 3.349609375, "loss/jsd": 0.0, "loss/logits": 0.17999718375504017, "step": 24680 }, { "epoch": 0.61725, "grad_norm": 30.5, "grad_norm_var": 2.385872395833333, "learning_rate": 0.0001, "loss": 7.3279, "loss/crossentropy": 2.1406032904982566, "loss/hidden": 3.281640625, "loss/jsd": 0.0, "loss/logits": 0.1813998430967331, "step": 24690 }, { "epoch": 0.6175, "grad_norm": 31.125, "grad_norm_var": 1.7212890625, "learning_rate": 0.0001, "loss": 7.3508, "loss/crossentropy": 2.074493780732155, "loss/hidden": 3.39375, "loss/jsd": 0.0, "loss/logits": 0.1942134676501155, "step": 24700 }, { "epoch": 0.61775, "grad_norm": 31.5, "grad_norm_var": 1.9275390625, "learning_rate": 0.0001, "loss": 7.3579, "loss/crossentropy": 2.235245580971241, "loss/hidden": 3.337109375, "loss/jsd": 0.0, "loss/logits": 0.1957023985683918, "step": 24710 }, { "epoch": 0.618, "grad_norm": 29.375, "grad_norm_var": 2.6817057291666666, "learning_rate": 0.0001, "loss": 7.3896, "loss/crossentropy": 2.0386796444654465, "loss/hidden": 3.326953125, "loss/jsd": 0.0, "loss/logits": 0.19206191059201955, "step": 24720 }, { "epoch": 0.61825, "grad_norm": 29.625, "grad_norm_var": 1.7705729166666666, "learning_rate": 0.0001, "loss": 7.3513, "loss/crossentropy": 2.0323100224137307, "loss/hidden": 3.4015625, "loss/jsd": 0.0, "loss/logits": 0.20894596744328736, "step": 24730 }, { "epoch": 0.6185, "grad_norm": 31.0, "grad_norm_var": 1.4322265625, "learning_rate": 0.0001, "loss": 7.2488, "loss/crossentropy": 2.0485980585217476, "loss/hidden": 3.382421875, "loss/jsd": 0.0, "loss/logits": 0.18473935313522816, "step": 24740 }, { "epoch": 0.61875, "grad_norm": 34.0, "grad_norm_var": 1.8436848958333334, "learning_rate": 0.0001, "loss": 7.3125, "loss/crossentropy": 2.12614818662405, "loss/hidden": 3.460546875, "loss/jsd": 0.0, "loss/logits": 0.18453964591026306, "step": 24750 }, { "epoch": 0.619, "grad_norm": 35.25, "grad_norm_var": 3.7080729166666666, "learning_rate": 0.0001, "loss": 7.307, "loss/crossentropy": 2.0480948239564896, "loss/hidden": 3.367578125, "loss/jsd": 0.0, "loss/logits": 0.18478762162849308, "step": 24760 }, { "epoch": 0.61925, "grad_norm": 30.625, "grad_norm_var": 2.8223307291666666, "learning_rate": 0.0001, "loss": 7.2388, "loss/crossentropy": 2.007586943730712, "loss/hidden": 3.32421875, "loss/jsd": 0.0, "loss/logits": 0.1709001273382455, "step": 24770 }, { "epoch": 0.6195, "grad_norm": 28.5, "grad_norm_var": 2.1497395833333335, "learning_rate": 0.0001, "loss": 7.2203, "loss/crossentropy": 1.9536567956209183, "loss/hidden": 3.423046875, "loss/jsd": 0.0, "loss/logits": 0.18609143160283564, "step": 24780 }, { "epoch": 0.61975, "grad_norm": 30.875, "grad_norm_var": 2.158333333333333, "learning_rate": 0.0001, "loss": 7.4193, "loss/crossentropy": 2.1475788801908493, "loss/hidden": 3.37890625, "loss/jsd": 0.0, "loss/logits": 0.19103976357728242, "step": 24790 }, { "epoch": 0.62, "grad_norm": 29.375, "grad_norm_var": 1.4150390625, "learning_rate": 0.0001, "loss": 7.2597, "loss/crossentropy": 1.93576335683465, "loss/hidden": 3.26015625, "loss/jsd": 0.0, "loss/logits": 0.1649831486865878, "step": 24800 }, { "epoch": 0.62025, "grad_norm": 29.75, "grad_norm_var": 2.064322916666667, "learning_rate": 0.0001, "loss": 7.264, "loss/crossentropy": 2.000751170516014, "loss/hidden": 3.35, "loss/jsd": 0.0, "loss/logits": 0.17869363045319914, "step": 24810 }, { "epoch": 0.6205, "grad_norm": 31.5, "grad_norm_var": 4.509830729166667, "learning_rate": 0.0001, "loss": 7.3578, "loss/crossentropy": 2.100572241842747, "loss/hidden": 3.370703125, "loss/jsd": 0.0, "loss/logits": 0.19480398446321487, "step": 24820 }, { "epoch": 0.62075, "grad_norm": 31.0, "grad_norm_var": 3.252795170612926e+18, "learning_rate": 0.0001, "loss": 7.3303, "loss/crossentropy": 2.0044652953743936, "loss/hidden": 3.444921875, "loss/jsd": 0.0, "loss/logits": 0.19480419661849738, "step": 24830 }, { "epoch": 0.621, "grad_norm": 30.0, "grad_norm_var": 3.0885416666666665, "learning_rate": 0.0001, "loss": 7.3171, "loss/crossentropy": 2.163808681815863, "loss/hidden": 3.365234375, "loss/jsd": 0.0, "loss/logits": 0.18681660266593098, "step": 24840 }, { "epoch": 0.62125, "grad_norm": 30.25, "grad_norm_var": 1.4400390625, "learning_rate": 0.0001, "loss": 7.333, "loss/crossentropy": 2.03867654427886, "loss/hidden": 3.288671875, "loss/jsd": 0.0, "loss/logits": 0.1776962866075337, "step": 24850 }, { "epoch": 0.6215, "grad_norm": 28.5, "grad_norm_var": 2.17265625, "learning_rate": 0.0001, "loss": 7.3692, "loss/crossentropy": 2.0644729137420654, "loss/hidden": 3.509375, "loss/jsd": 0.0, "loss/logits": 0.1982646532356739, "step": 24860 }, { "epoch": 0.62175, "grad_norm": 27.625, "grad_norm_var": 3.06015625, "learning_rate": 0.0001, "loss": 7.3453, "loss/crossentropy": 2.171038728952408, "loss/hidden": 3.31328125, "loss/jsd": 0.0, "loss/logits": 0.19105625264346598, "step": 24870 }, { "epoch": 0.622, "grad_norm": 31.625, "grad_norm_var": 2.09140625, "learning_rate": 0.0001, "loss": 7.3096, "loss/crossentropy": 2.0491355784237384, "loss/hidden": 3.387890625, "loss/jsd": 0.0, "loss/logits": 0.19366521965712308, "step": 24880 }, { "epoch": 0.62225, "grad_norm": 29.375, "grad_norm_var": 2.001822916666667, "learning_rate": 0.0001, "loss": 7.2684, "loss/crossentropy": 2.185651781409979, "loss/hidden": 3.2890625, "loss/jsd": 0.0, "loss/logits": 0.1791619287803769, "step": 24890 }, { "epoch": 0.6225, "grad_norm": 28.25, "grad_norm_var": 2.0056640625, "learning_rate": 0.0001, "loss": 7.2828, "loss/crossentropy": 2.1073651291429996, "loss/hidden": 3.394921875, "loss/jsd": 0.0, "loss/logits": 0.19452255237847565, "step": 24900 }, { "epoch": 0.62275, "grad_norm": 28.25, "grad_norm_var": 2.814583333333333, "learning_rate": 0.0001, "loss": 7.324, "loss/crossentropy": 2.1819552317261697, "loss/hidden": 3.47734375, "loss/jsd": 0.0, "loss/logits": 0.19712742660194635, "step": 24910 }, { "epoch": 0.623, "grad_norm": 31.5, "grad_norm_var": 1.340625, "learning_rate": 0.0001, "loss": 7.2135, "loss/crossentropy": 2.0284355215728285, "loss/hidden": 3.304296875, "loss/jsd": 0.0, "loss/logits": 0.17623181734234095, "step": 24920 }, { "epoch": 0.62325, "grad_norm": 33.0, "grad_norm_var": 3.7405598958333335, "learning_rate": 0.0001, "loss": 7.3556, "loss/crossentropy": 1.9424869917333125, "loss/hidden": 3.334375, "loss/jsd": 0.0, "loss/logits": 0.16103002466261387, "step": 24930 }, { "epoch": 0.6235, "grad_norm": 30.125, "grad_norm_var": 2.687239583333333, "learning_rate": 0.0001, "loss": 7.4098, "loss/crossentropy": 2.1412764593958853, "loss/hidden": 3.426953125, "loss/jsd": 0.0, "loss/logits": 0.18787063639611007, "step": 24940 }, { "epoch": 0.62375, "grad_norm": 30.375, "grad_norm_var": 2.4374348958333334, "learning_rate": 0.0001, "loss": 7.423, "loss/crossentropy": 2.1100604355335237, "loss/hidden": 3.334765625, "loss/jsd": 0.0, "loss/logits": 0.1824411964043975, "step": 24950 }, { "epoch": 0.624, "grad_norm": 28.75, "grad_norm_var": 2.1405598958333334, "learning_rate": 0.0001, "loss": 7.2604, "loss/crossentropy": 2.173184335231781, "loss/hidden": 3.3046875, "loss/jsd": 0.0, "loss/logits": 0.18387555023655294, "step": 24960 }, { "epoch": 0.62425, "grad_norm": 33.25, "grad_norm_var": 2.775, "learning_rate": 0.0001, "loss": 7.4108, "loss/crossentropy": 2.2970198541879654, "loss/hidden": 3.37265625, "loss/jsd": 0.0, "loss/logits": 0.1978620221838355, "step": 24970 }, { "epoch": 0.6245, "grad_norm": 30.25, "grad_norm_var": 6.2869140625, "learning_rate": 0.0001, "loss": 7.3759, "loss/crossentropy": 2.098717086017132, "loss/hidden": 3.2953125, "loss/jsd": 0.0, "loss/logits": 0.1739401025697589, "step": 24980 }, { "epoch": 0.62475, "grad_norm": 30.75, "grad_norm_var": 1.34765625, "learning_rate": 0.0001, "loss": 7.1911, "loss/crossentropy": 2.0788547694683075, "loss/hidden": 3.3609375, "loss/jsd": 0.0, "loss/logits": 0.18489116076380013, "step": 24990 }, { "epoch": 0.625, "grad_norm": 29.125, "grad_norm_var": 2.3181640625, "learning_rate": 0.0001, "loss": 7.289, "loss/crossentropy": 2.05898377597332, "loss/hidden": 3.396484375, "loss/jsd": 0.0, "loss/logits": 0.19787134062498807, "step": 25000 }, { "epoch": 0.62525, "grad_norm": 30.5, "grad_norm_var": 5.060416666666667, "learning_rate": 0.0001, "loss": 7.3426, "loss/crossentropy": 2.191389924287796, "loss/hidden": 3.35234375, "loss/jsd": 0.0, "loss/logits": 0.1947077002376318, "step": 25010 }, { "epoch": 0.6255, "grad_norm": 29.75, "grad_norm_var": 3.7660807291666667, "learning_rate": 0.0001, "loss": 7.3552, "loss/crossentropy": 2.1716764003038405, "loss/hidden": 3.39296875, "loss/jsd": 0.0, "loss/logits": 0.18750451393425466, "step": 25020 }, { "epoch": 0.62575, "grad_norm": 28.75, "grad_norm_var": 3.3934895833333334, "learning_rate": 0.0001, "loss": 7.2251, "loss/crossentropy": 2.0290740236639975, "loss/hidden": 3.44296875, "loss/jsd": 0.0, "loss/logits": 0.2046494733542204, "step": 25030 }, { "epoch": 0.626, "grad_norm": 29.125, "grad_norm_var": 15.915559895833333, "learning_rate": 0.0001, "loss": 7.3018, "loss/crossentropy": 2.0449746288359165, "loss/hidden": 3.36328125, "loss/jsd": 0.0, "loss/logits": 0.17823896156623958, "step": 25040 }, { "epoch": 0.62625, "grad_norm": 30.875, "grad_norm_var": 2.39140625, "learning_rate": 0.0001, "loss": 7.2551, "loss/crossentropy": 2.0032063253223895, "loss/hidden": 3.443359375, "loss/jsd": 0.0, "loss/logits": 0.18292871192097665, "step": 25050 }, { "epoch": 0.6265, "grad_norm": 34.25, "grad_norm_var": 2.574934895833333, "learning_rate": 0.0001, "loss": 7.3934, "loss/crossentropy": 1.9866469122469426, "loss/hidden": 3.444921875, "loss/jsd": 0.0, "loss/logits": 0.18698836211115122, "step": 25060 }, { "epoch": 0.62675, "grad_norm": 30.625, "grad_norm_var": 1.9202473958333333, "learning_rate": 0.0001, "loss": 7.3007, "loss/crossentropy": 2.0594868302345275, "loss/hidden": 3.386328125, "loss/jsd": 0.0, "loss/logits": 0.18997351210564375, "step": 25070 }, { "epoch": 0.627, "grad_norm": 34.5, "grad_norm_var": 3.217643229166667, "learning_rate": 0.0001, "loss": 7.2211, "loss/crossentropy": 2.0622723668813707, "loss/hidden": 3.404296875, "loss/jsd": 0.0, "loss/logits": 0.18301580119878053, "step": 25080 }, { "epoch": 0.62725, "grad_norm": 30.875, "grad_norm_var": 6.513541666666667, "learning_rate": 0.0001, "loss": 7.2187, "loss/crossentropy": 2.19646572843194, "loss/hidden": 3.41015625, "loss/jsd": 0.0, "loss/logits": 0.21105999127030373, "step": 25090 }, { "epoch": 0.6275, "grad_norm": 31.0, "grad_norm_var": 3.287239583333333, "learning_rate": 0.0001, "loss": 7.3144, "loss/crossentropy": 2.1136497229337694, "loss/hidden": 3.334765625, "loss/jsd": 0.0, "loss/logits": 0.18730370607227087, "step": 25100 }, { "epoch": 0.62775, "grad_norm": 29.125, "grad_norm_var": 1.6087890625, "learning_rate": 0.0001, "loss": 7.4126, "loss/crossentropy": 2.2990898922085763, "loss/hidden": 3.38359375, "loss/jsd": 0.0, "loss/logits": 0.192084638774395, "step": 25110 }, { "epoch": 0.628, "grad_norm": 32.5, "grad_norm_var": 2.9275390625, "learning_rate": 0.0001, "loss": 7.3276, "loss/crossentropy": 1.8526959542185069, "loss/hidden": 3.478125, "loss/jsd": 0.0, "loss/logits": 0.19008365646004677, "step": 25120 }, { "epoch": 0.62825, "grad_norm": 29.125, "grad_norm_var": 2.4181640625, "learning_rate": 0.0001, "loss": 7.1824, "loss/crossentropy": 1.9762011893093585, "loss/hidden": 3.33203125, "loss/jsd": 0.0, "loss/logits": 0.170592157356441, "step": 25130 }, { "epoch": 0.6285, "grad_norm": 30.75, "grad_norm_var": 3.67890625, "learning_rate": 0.0001, "loss": 7.3663, "loss/crossentropy": 2.0375132709741592, "loss/hidden": 3.42265625, "loss/jsd": 0.0, "loss/logits": 0.19559677615761756, "step": 25140 }, { "epoch": 0.62875, "grad_norm": 5268045824.0, "grad_norm_var": 1.7345191550355768e+18, "learning_rate": 0.0001, "loss": 7.2744, "loss/crossentropy": 2.116751839220524, "loss/hidden": 3.64453125, "loss/jsd": 0.0, "loss/logits": 0.20043763648718596, "step": 25150 }, { "epoch": 0.629, "grad_norm": 29.625, "grad_norm_var": 1.7345191549916764e+18, "learning_rate": 0.0001, "loss": 7.1578, "loss/crossentropy": 1.8911869063973428, "loss/hidden": 3.3375, "loss/jsd": 0.0, "loss/logits": 0.17289240173995496, "step": 25160 }, { "epoch": 0.62925, "grad_norm": 32.25, "grad_norm_var": 2.628125, "learning_rate": 0.0001, "loss": 7.2708, "loss/crossentropy": 1.9820346303284169, "loss/hidden": 3.387109375, "loss/jsd": 0.0, "loss/logits": 0.17856419319286942, "step": 25170 }, { "epoch": 0.6295, "grad_norm": 32.25, "grad_norm_var": 3.124739583333333, "learning_rate": 0.0001, "loss": 7.2472, "loss/crossentropy": 2.166484069824219, "loss/hidden": 3.361328125, "loss/jsd": 0.0, "loss/logits": 0.1979134999215603, "step": 25180 }, { "epoch": 0.62975, "grad_norm": 29.875, "grad_norm_var": 15.1025390625, "learning_rate": 0.0001, "loss": 7.2973, "loss/crossentropy": 2.0940047293901443, "loss/hidden": 3.4125, "loss/jsd": 0.0, "loss/logits": 0.19144841339439153, "step": 25190 }, { "epoch": 0.63, "grad_norm": 30.625, "grad_norm_var": 2.3934895833333334, "learning_rate": 0.0001, "loss": 7.2884, "loss/crossentropy": 2.0762594789266586, "loss/hidden": 3.377734375, "loss/jsd": 0.0, "loss/logits": 0.1935945412144065, "step": 25200 }, { "epoch": 0.63025, "grad_norm": 30.75, "grad_norm_var": 3.083268229166667, "learning_rate": 0.0001, "loss": 7.3037, "loss/crossentropy": 2.1710478901863097, "loss/hidden": 3.333984375, "loss/jsd": 0.0, "loss/logits": 0.19344222452491522, "step": 25210 }, { "epoch": 0.6305, "grad_norm": 29.625, "grad_norm_var": 3.512434895833333, "learning_rate": 0.0001, "loss": 7.3412, "loss/crossentropy": 2.1715824723243715, "loss/hidden": 3.367578125, "loss/jsd": 0.0, "loss/logits": 0.18924503941088916, "step": 25220 }, { "epoch": 0.63075, "grad_norm": 28.125, "grad_norm_var": 3.0830729166666666, "learning_rate": 0.0001, "loss": 7.2856, "loss/crossentropy": 2.1482178628444673, "loss/hidden": 3.275, "loss/jsd": 0.0, "loss/logits": 0.1806714640930295, "step": 25230 }, { "epoch": 0.631, "grad_norm": 31.25, "grad_norm_var": 4.3875, "learning_rate": 0.0001, "loss": 7.3432, "loss/crossentropy": 1.8948672696948052, "loss/hidden": 3.459375, "loss/jsd": 0.0, "loss/logits": 0.18248430043458938, "step": 25240 }, { "epoch": 0.63125, "grad_norm": 30.625, "grad_norm_var": 5.961393229166666, "learning_rate": 0.0001, "loss": 7.307, "loss/crossentropy": 1.979700568318367, "loss/hidden": 3.368359375, "loss/jsd": 0.0, "loss/logits": 0.18111934289336204, "step": 25250 }, { "epoch": 0.6315, "grad_norm": 30.75, "grad_norm_var": 2.0884765625, "learning_rate": 0.0001, "loss": 7.3091, "loss/crossentropy": 2.1454955518245695, "loss/hidden": 3.433203125, "loss/jsd": 0.0, "loss/logits": 0.20133222881704568, "step": 25260 }, { "epoch": 0.63175, "grad_norm": 32.25, "grad_norm_var": 11.745247395833333, "learning_rate": 0.0001, "loss": 7.3298, "loss/crossentropy": 2.052339327335358, "loss/hidden": 3.368359375, "loss/jsd": 0.0, "loss/logits": 0.1785123085603118, "step": 25270 }, { "epoch": 0.632, "grad_norm": 30.25, "grad_norm_var": 16.828580729166667, "learning_rate": 0.0001, "loss": 7.4661, "loss/crossentropy": 2.0869883239269256, "loss/hidden": 3.40859375, "loss/jsd": 0.0, "loss/logits": 0.2130020596086979, "step": 25280 }, { "epoch": 0.63225, "grad_norm": 30.25, "grad_norm_var": 2.2916015625, "learning_rate": 0.0001, "loss": 7.2918, "loss/crossentropy": 1.994824843108654, "loss/hidden": 3.207421875, "loss/jsd": 0.0, "loss/logits": 0.17445887122303247, "step": 25290 }, { "epoch": 0.6325, "grad_norm": 35.0, "grad_norm_var": 116.28098958333334, "learning_rate": 0.0001, "loss": 7.2917, "loss/crossentropy": 2.073824466764927, "loss/hidden": 3.358203125, "loss/jsd": 0.0, "loss/logits": 0.18123935330659152, "step": 25300 }, { "epoch": 0.63275, "grad_norm": 30.625, "grad_norm_var": 195.25774739583332, "learning_rate": 0.0001, "loss": 7.293, "loss/crossentropy": 2.102488835155964, "loss/hidden": 3.362890625, "loss/jsd": 0.0, "loss/logits": 0.1843341593630612, "step": 25310 }, { "epoch": 0.633, "grad_norm": 30.125, "grad_norm_var": 103.74973958333334, "learning_rate": 0.0001, "loss": 7.2951, "loss/crossentropy": 1.9738748401403428, "loss/hidden": 3.38671875, "loss/jsd": 0.0, "loss/logits": 0.19301892705261708, "step": 25320 }, { "epoch": 0.63325, "grad_norm": 30.25, "grad_norm_var": 1.2635411529232722e+18, "learning_rate": 0.0001, "loss": 7.3154, "loss/crossentropy": 2.1203658998012545, "loss/hidden": 3.274609375, "loss/jsd": 0.0, "loss/logits": 0.1767484113574028, "step": 25330 }, { "epoch": 0.6335, "grad_norm": 28.0, "grad_norm_var": 1.2635411512184276e+18, "learning_rate": 0.0001, "loss": 7.3058, "loss/crossentropy": 2.0557747781276703, "loss/hidden": 3.344140625, "loss/jsd": 0.0, "loss/logits": 0.18306177966296672, "step": 25340 }, { "epoch": 0.63375, "grad_norm": 28.625, "grad_norm_var": 34.753125, "learning_rate": 0.0001, "loss": 7.0454, "loss/crossentropy": 2.0685575902462006, "loss/hidden": 3.39609375, "loss/jsd": 0.0, "loss/logits": 0.1882263720035553, "step": 25350 }, { "epoch": 0.634, "grad_norm": 28.875, "grad_norm_var": 22.106705729166666, "learning_rate": 0.0001, "loss": 7.2534, "loss/crossentropy": 2.208861267566681, "loss/hidden": 3.339453125, "loss/jsd": 0.0, "loss/logits": 0.197300866805017, "step": 25360 }, { "epoch": 0.63425, "grad_norm": 28.125, "grad_norm_var": 10.518489583333333, "learning_rate": 0.0001, "loss": 7.1867, "loss/crossentropy": 2.133610498905182, "loss/hidden": 3.48203125, "loss/jsd": 0.0, "loss/logits": 0.1941371016204357, "step": 25370 }, { "epoch": 0.6345, "grad_norm": 28.875, "grad_norm_var": 21.129166666666666, "learning_rate": 0.0001, "loss": 7.2715, "loss/crossentropy": 2.063799539208412, "loss/hidden": 3.273828125, "loss/jsd": 0.0, "loss/logits": 0.1706739742308855, "step": 25380 }, { "epoch": 0.63475, "grad_norm": 38.25, "grad_norm_var": 14.7416015625, "learning_rate": 0.0001, "loss": 7.0581, "loss/crossentropy": 2.0165546610951424, "loss/hidden": 3.141796875, "loss/jsd": 0.0, "loss/logits": 0.15498318960890173, "step": 25390 }, { "epoch": 0.635, "grad_norm": 37.75, "grad_norm_var": 14.0353515625, "learning_rate": 0.0001, "loss": 7.2961, "loss/crossentropy": 2.240743267536163, "loss/hidden": 3.30546875, "loss/jsd": 0.0, "loss/logits": 0.18806628789752722, "step": 25400 }, { "epoch": 0.63525, "grad_norm": 33.25, "grad_norm_var": 19.630989583333335, "learning_rate": 0.0001, "loss": 7.1944, "loss/crossentropy": 2.1175243996083735, "loss/hidden": 3.28046875, "loss/jsd": 0.0, "loss/logits": 0.18017748612910509, "step": 25410 }, { "epoch": 0.6355, "grad_norm": 30.375, "grad_norm_var": 16.4025390625, "learning_rate": 0.0001, "loss": 7.2159, "loss/crossentropy": 2.11346255838871, "loss/hidden": 3.270703125, "loss/jsd": 0.0, "loss/logits": 0.1687102049589157, "step": 25420 }, { "epoch": 0.63575, "grad_norm": 31.75, "grad_norm_var": 41.88014322916667, "learning_rate": 0.0001, "loss": 7.2323, "loss/crossentropy": 2.2356766797602177, "loss/hidden": 3.31484375, "loss/jsd": 0.0, "loss/logits": 0.18139579724520444, "step": 25430 }, { "epoch": 0.636, "grad_norm": 30.75, "grad_norm_var": 13.415559895833333, "learning_rate": 0.0001, "loss": 7.1997, "loss/crossentropy": 1.9421189457178116, "loss/hidden": 3.35625, "loss/jsd": 0.0, "loss/logits": 0.17150872349739074, "step": 25440 }, { "epoch": 0.63625, "grad_norm": 29.625, "grad_norm_var": 5.9775390625, "learning_rate": 0.0001, "loss": 7.1837, "loss/crossentropy": 2.0306406378746034, "loss/hidden": 3.2375, "loss/jsd": 0.0, "loss/logits": 0.17749902671203016, "step": 25450 }, { "epoch": 0.6365, "grad_norm": 30.0, "grad_norm_var": 8156.041666666667, "learning_rate": 0.0001, "loss": 7.2467, "loss/crossentropy": 2.0117203891277313, "loss/hidden": 3.301953125, "loss/jsd": 0.0, "loss/logits": 0.17507544625550508, "step": 25460 }, { "epoch": 0.63675, "grad_norm": 36.75, "grad_norm_var": 18.21015625, "learning_rate": 0.0001, "loss": 7.2268, "loss/crossentropy": 2.0377916976809503, "loss/hidden": 3.378125, "loss/jsd": 0.0, "loss/logits": 0.17452282812446357, "step": 25470 }, { "epoch": 0.637, "grad_norm": 29.625, "grad_norm_var": 26.654166666666665, "learning_rate": 0.0001, "loss": 7.2038, "loss/crossentropy": 2.0024905622005464, "loss/hidden": 3.4453125, "loss/jsd": 0.0, "loss/logits": 0.18442925848066807, "step": 25480 }, { "epoch": 0.63725, "grad_norm": 27.125, "grad_norm_var": 28.959309895833332, "learning_rate": 0.0001, "loss": 7.2125, "loss/crossentropy": 2.0766751676797868, "loss/hidden": 3.382421875, "loss/jsd": 0.0, "loss/logits": 0.20771742928773165, "step": 25490 }, { "epoch": 0.6375, "grad_norm": 34.75, "grad_norm_var": 6.7650390625, "learning_rate": 0.0001, "loss": 7.1703, "loss/crossentropy": 2.0064065635204313, "loss/hidden": 3.289453125, "loss/jsd": 0.0, "loss/logits": 0.18250296991318465, "step": 25500 }, { "epoch": 0.63775, "grad_norm": 30.75, "grad_norm_var": 4.0697265625, "learning_rate": 0.0001, "loss": 7.2983, "loss/crossentropy": 2.0614541321992874, "loss/hidden": 3.442578125, "loss/jsd": 0.0, "loss/logits": 0.2076763341203332, "step": 25510 }, { "epoch": 0.638, "grad_norm": 29.5, "grad_norm_var": 7.487239583333333, "learning_rate": 0.0001, "loss": 7.2289, "loss/crossentropy": 1.9859767436981202, "loss/hidden": 3.2984375, "loss/jsd": 0.0, "loss/logits": 0.17486365381628274, "step": 25520 }, { "epoch": 0.63825, "grad_norm": 35.75, "grad_norm_var": 17.522916666666667, "learning_rate": 0.0001, "loss": 7.2378, "loss/crossentropy": 1.9697401717305183, "loss/hidden": 3.40625, "loss/jsd": 0.0, "loss/logits": 0.1799583438783884, "step": 25530 }, { "epoch": 0.6385, "grad_norm": 28.375, "grad_norm_var": 38.739322916666666, "learning_rate": 0.0001, "loss": 7.2664, "loss/crossentropy": 2.1364367194473743, "loss/hidden": 3.290625, "loss/jsd": 0.0, "loss/logits": 0.18297823830507695, "step": 25540 }, { "epoch": 0.63875, "grad_norm": 30.125, "grad_norm_var": 35.773372395833334, "learning_rate": 0.0001, "loss": 7.1437, "loss/crossentropy": 2.0668285630643366, "loss/hidden": 3.330078125, "loss/jsd": 0.0, "loss/logits": 0.1804805461317301, "step": 25550 }, { "epoch": 0.639, "grad_norm": 28.625, "grad_norm_var": 11.2619140625, "learning_rate": 0.0001, "loss": 7.2275, "loss/crossentropy": 2.093304879963398, "loss/hidden": 3.273046875, "loss/jsd": 0.0, "loss/logits": 0.18014004416763782, "step": 25560 }, { "epoch": 0.63925, "grad_norm": 35.0, "grad_norm_var": 10.3150390625, "learning_rate": 0.0001, "loss": 7.3097, "loss/crossentropy": 2.20695668309927, "loss/hidden": 3.383984375, "loss/jsd": 0.0, "loss/logits": 0.19993221275508405, "step": 25570 }, { "epoch": 0.6395, "grad_norm": 35.5, "grad_norm_var": 6.303125, "learning_rate": 0.0001, "loss": 7.257, "loss/crossentropy": 2.0658087216317655, "loss/hidden": 3.303125, "loss/jsd": 0.0, "loss/logits": 0.18781778533011675, "step": 25580 }, { "epoch": 0.63975, "grad_norm": 29.875, "grad_norm_var": 4.42265625, "learning_rate": 0.0001, "loss": 7.2849, "loss/crossentropy": 2.1931436568498612, "loss/hidden": 3.33515625, "loss/jsd": 0.0, "loss/logits": 0.18365668430924414, "step": 25590 }, { "epoch": 0.64, "grad_norm": 28.125, "grad_norm_var": 4.941666666666666, "learning_rate": 0.0001, "loss": 7.3091, "loss/crossentropy": 2.105237030982971, "loss/hidden": 3.301953125, "loss/jsd": 0.0, "loss/logits": 0.18291805479675532, "step": 25600 }, { "epoch": 0.64025, "grad_norm": 30.125, "grad_norm_var": 1.7983723958333333, "learning_rate": 0.0001, "loss": 7.3204, "loss/crossentropy": 1.995211163163185, "loss/hidden": 3.383984375, "loss/jsd": 0.0, "loss/logits": 0.17982382252812384, "step": 25610 }, { "epoch": 0.6405, "grad_norm": 31.5, "grad_norm_var": 1.4504557291666667, "learning_rate": 0.0001, "loss": 7.4159, "loss/crossentropy": 2.0612260174006223, "loss/hidden": 3.3734375, "loss/jsd": 0.0, "loss/logits": 0.19814395047724248, "step": 25620 }, { "epoch": 0.64075, "grad_norm": 29.25, "grad_norm_var": 1.5655598958333334, "learning_rate": 0.0001, "loss": 7.3244, "loss/crossentropy": 2.1825088411569595, "loss/hidden": 3.31796875, "loss/jsd": 0.0, "loss/logits": 0.17284797839820384, "step": 25630 }, { "epoch": 0.641, "grad_norm": 30.625, "grad_norm_var": 4.470572916666667, "learning_rate": 0.0001, "loss": 7.3127, "loss/crossentropy": 2.123421373963356, "loss/hidden": 3.304296875, "loss/jsd": 0.0, "loss/logits": 0.1951315425336361, "step": 25640 }, { "epoch": 0.64125, "grad_norm": 29.25, "grad_norm_var": 2.6211653257674097e+18, "learning_rate": 0.0001, "loss": 7.4566, "loss/crossentropy": 1.9836766071617604, "loss/hidden": 3.338671875, "loss/jsd": 0.0, "loss/logits": 0.18384753745049237, "step": 25650 }, { "epoch": 0.6415, "grad_norm": 30.125, "grad_norm_var": 10.3619140625, "learning_rate": 0.0001, "loss": 7.2435, "loss/crossentropy": 2.024305807799101, "loss/hidden": 3.394921875, "loss/jsd": 0.0, "loss/logits": 0.18380997078493239, "step": 25660 }, { "epoch": 0.64175, "grad_norm": 29.25, "grad_norm_var": 6.990559895833333, "learning_rate": 0.0001, "loss": 7.3449, "loss/crossentropy": 2.0873545318841935, "loss/hidden": 3.3609375, "loss/jsd": 0.0, "loss/logits": 0.1851763878017664, "step": 25670 }, { "epoch": 0.642, "grad_norm": 29.75, "grad_norm_var": 6.716080729166666, "learning_rate": 0.0001, "loss": 7.3962, "loss/crossentropy": 1.953444430232048, "loss/hidden": 3.45625, "loss/jsd": 0.0, "loss/logits": 0.18732787277549506, "step": 25680 }, { "epoch": 0.64225, "grad_norm": 30.0, "grad_norm_var": 4.412434895833333, "learning_rate": 0.0001, "loss": 7.3693, "loss/crossentropy": 2.0779720529913903, "loss/hidden": 3.45625, "loss/jsd": 0.0, "loss/logits": 0.19645520951598883, "step": 25690 }, { "epoch": 0.6425, "grad_norm": 36.0, "grad_norm_var": 6.120247395833333, "learning_rate": 0.0001, "loss": 7.2773, "loss/crossentropy": 2.080344262719154, "loss/hidden": 3.380078125, "loss/jsd": 0.0, "loss/logits": 0.18719701357185842, "step": 25700 }, { "epoch": 0.64275, "grad_norm": 31.75, "grad_norm_var": 5.784309895833333, "learning_rate": 0.0001, "loss": 7.2415, "loss/crossentropy": 2.1494850531220435, "loss/hidden": 3.44375, "loss/jsd": 0.0, "loss/logits": 0.2048310289159417, "step": 25710 }, { "epoch": 0.643, "grad_norm": 30.75, "grad_norm_var": 1.9572916666666667, "learning_rate": 0.0001, "loss": 7.1719, "loss/crossentropy": 2.06035181209445, "loss/hidden": 3.412109375, "loss/jsd": 0.0, "loss/logits": 0.19010064098984003, "step": 25720 }, { "epoch": 0.64325, "grad_norm": 29.5, "grad_norm_var": 1.4150390625, "learning_rate": 0.0001, "loss": 7.3085, "loss/crossentropy": 1.9468969091773034, "loss/hidden": 3.378125, "loss/jsd": 0.0, "loss/logits": 0.18584002749994397, "step": 25730 }, { "epoch": 0.6435, "grad_norm": 33.25, "grad_norm_var": 2.221875, "learning_rate": 0.0001, "loss": 7.2789, "loss/crossentropy": 1.9196617759764194, "loss/hidden": 3.416796875, "loss/jsd": 0.0, "loss/logits": 0.17771600587293507, "step": 25740 }, { "epoch": 0.64375, "grad_norm": 30.25, "grad_norm_var": 14.9853515625, "learning_rate": 0.0001, "loss": 7.2678, "loss/crossentropy": 2.1726732790470122, "loss/hidden": 3.395703125, "loss/jsd": 0.0, "loss/logits": 0.18251333478838205, "step": 25750 }, { "epoch": 0.644, "grad_norm": 30.25, "grad_norm_var": 2.2059895833333334, "learning_rate": 0.0001, "loss": 7.3832, "loss/crossentropy": 2.1877689242362974, "loss/hidden": 3.36640625, "loss/jsd": 0.0, "loss/logits": 0.19289560578763484, "step": 25760 }, { "epoch": 0.64425, "grad_norm": 62.75, "grad_norm_var": 69.259375, "learning_rate": 0.0001, "loss": 7.2773, "loss/crossentropy": 2.070755659043789, "loss/hidden": 3.3203125, "loss/jsd": 0.0, "loss/logits": 0.17988401111215352, "step": 25770 }, { "epoch": 0.6445, "grad_norm": 29.375, "grad_norm_var": 113.71399739583333, "learning_rate": 0.0001, "loss": 7.3734, "loss/crossentropy": 2.106437236815691, "loss/hidden": 3.372265625, "loss/jsd": 0.0, "loss/logits": 0.19078649543225765, "step": 25780 }, { "epoch": 0.64475, "grad_norm": 30.625, "grad_norm_var": 1.3952473958333333, "learning_rate": 0.0001, "loss": 7.3165, "loss/crossentropy": 2.1690757513046264, "loss/hidden": 3.402734375, "loss/jsd": 0.0, "loss/logits": 0.19081941563636065, "step": 25790 }, { "epoch": 0.645, "grad_norm": 28.75, "grad_norm_var": 1.6077473958333333, "learning_rate": 0.0001, "loss": 7.3326, "loss/crossentropy": 2.1447702586650848, "loss/hidden": 3.35859375, "loss/jsd": 0.0, "loss/logits": 0.19072114508599042, "step": 25800 }, { "epoch": 0.64525, "grad_norm": 30.5, "grad_norm_var": 2.5410807291666666, "learning_rate": 0.0001, "loss": 7.3061, "loss/crossentropy": 2.243308076262474, "loss/hidden": 3.391796875, "loss/jsd": 0.0, "loss/logits": 0.19677081871777774, "step": 25810 }, { "epoch": 0.6455, "grad_norm": 29.25, "grad_norm_var": 2.2811848958333334, "learning_rate": 0.0001, "loss": 7.2598, "loss/crossentropy": 2.1137851983308793, "loss/hidden": 3.306640625, "loss/jsd": 0.0, "loss/logits": 0.18019928000867366, "step": 25820 }, { "epoch": 0.64575, "grad_norm": 28.875, "grad_norm_var": 3.3067057291666666, "learning_rate": 0.0001, "loss": 7.2768, "loss/crossentropy": 2.046476516127586, "loss/hidden": 3.396875, "loss/jsd": 0.0, "loss/logits": 0.1881034353747964, "step": 25830 }, { "epoch": 0.646, "grad_norm": 30.875, "grad_norm_var": 7.928059895833333, "learning_rate": 0.0001, "loss": 7.4478, "loss/crossentropy": 1.9755774058401585, "loss/hidden": 3.40390625, "loss/jsd": 0.0, "loss/logits": 0.18677257960662247, "step": 25840 }, { "epoch": 0.64625, "grad_norm": 29.0, "grad_norm_var": 10.15625, "learning_rate": 0.0001, "loss": 7.35, "loss/crossentropy": 2.0693862795829774, "loss/hidden": 3.3375, "loss/jsd": 0.0, "loss/logits": 0.18849658444523812, "step": 25850 }, { "epoch": 0.6465, "grad_norm": 30.125, "grad_norm_var": 10.2125, "learning_rate": 0.0001, "loss": 7.3352, "loss/crossentropy": 2.121247774362564, "loss/hidden": 3.3765625, "loss/jsd": 0.0, "loss/logits": 0.20228977780789137, "step": 25860 }, { "epoch": 0.64675, "grad_norm": 29.75, "grad_norm_var": 3.5160807291666667, "learning_rate": 0.0001, "loss": 7.3408, "loss/crossentropy": 2.0337157592177393, "loss/hidden": 3.45390625, "loss/jsd": 0.0, "loss/logits": 0.18892905581742525, "step": 25870 }, { "epoch": 0.647, "grad_norm": 29.75, "grad_norm_var": 4.974739583333333, "learning_rate": 0.0001, "loss": 7.3046, "loss/crossentropy": 1.9749686062335967, "loss/hidden": 3.486328125, "loss/jsd": 0.0, "loss/logits": 0.19374344814568759, "step": 25880 }, { "epoch": 0.64725, "grad_norm": 33.25, "grad_norm_var": 5.467708333333333, "learning_rate": 0.0001, "loss": 7.3869, "loss/crossentropy": 2.083652201294899, "loss/hidden": 3.392578125, "loss/jsd": 0.0, "loss/logits": 0.2009931992739439, "step": 25890 }, { "epoch": 0.6475, "grad_norm": 34.5, "grad_norm_var": 4.03515625, "learning_rate": 0.0001, "loss": 7.3113, "loss/crossentropy": 2.0592153131961823, "loss/hidden": 3.332421875, "loss/jsd": 0.0, "loss/logits": 0.19190128184854985, "step": 25900 }, { "epoch": 0.64775, "grad_norm": 28.625, "grad_norm_var": 4.687955729166666, "learning_rate": 0.0001, "loss": 7.2909, "loss/crossentropy": 1.9693334527313708, "loss/hidden": 3.3765625, "loss/jsd": 0.0, "loss/logits": 0.1817644027993083, "step": 25910 }, { "epoch": 0.648, "grad_norm": 31.125, "grad_norm_var": 2.124739583333333, "learning_rate": 0.0001, "loss": 7.3546, "loss/crossentropy": 2.079821580648422, "loss/hidden": 3.3125, "loss/jsd": 0.0, "loss/logits": 0.17972610034048558, "step": 25920 }, { "epoch": 0.64825, "grad_norm": 28.375, "grad_norm_var": 3.4934895833333335, "learning_rate": 0.0001, "loss": 7.2074, "loss/crossentropy": 2.1161312617361547, "loss/hidden": 3.34296875, "loss/jsd": 0.0, "loss/logits": 0.1969278533011675, "step": 25930 }, { "epoch": 0.6485, "grad_norm": 27.25, "grad_norm_var": 1.8212890625, "learning_rate": 0.0001, "loss": 7.3702, "loss/crossentropy": 2.1124040342867376, "loss/hidden": 3.379296875, "loss/jsd": 0.0, "loss/logits": 0.18695534877479075, "step": 25940 }, { "epoch": 0.64875, "grad_norm": 34.25, "grad_norm_var": 4.521809895833333, "learning_rate": 0.0001, "loss": 7.4366, "loss/crossentropy": 2.1193448536098005, "loss/hidden": 3.36484375, "loss/jsd": 0.0, "loss/logits": 0.18631769344210625, "step": 25950 }, { "epoch": 0.649, "grad_norm": 30.875, "grad_norm_var": 4.4697265625, "learning_rate": 0.0001, "loss": 7.4333, "loss/crossentropy": 2.1864205464720725, "loss/hidden": 3.378515625, "loss/jsd": 0.0, "loss/logits": 0.19288004878908396, "step": 25960 }, { "epoch": 0.64925, "grad_norm": 32.25, "grad_norm_var": 2.65390625, "learning_rate": 0.0001, "loss": 7.3549, "loss/crossentropy": 2.0109216958284377, "loss/hidden": 3.345703125, "loss/jsd": 0.0, "loss/logits": 0.18039658814668655, "step": 25970 }, { "epoch": 0.6495, "grad_norm": 6677331968.0, "grad_norm_var": 2.786672611783344e+18, "learning_rate": 0.0001, "loss": 7.3897, "loss/crossentropy": 1.9869451895356178, "loss/hidden": 3.3234375, "loss/jsd": 0.0, "loss/logits": 0.17617017943412067, "step": 25980 }, { "epoch": 0.64975, "grad_norm": 29.25, "grad_norm_var": 2.7866726110599665e+18, "learning_rate": 0.0001, "loss": 7.2854, "loss/crossentropy": 2.2265473932027815, "loss/hidden": 3.3734375, "loss/jsd": 0.0, "loss/logits": 0.2203309465199709, "step": 25990 }, { "epoch": 0.65, "grad_norm": 30.5, "grad_norm_var": 2.5822265625, "learning_rate": 0.0001, "loss": 7.3065, "loss/crossentropy": 2.0998080484569073, "loss/hidden": 3.4484375, "loss/jsd": 0.0, "loss/logits": 0.18724181046709418, "step": 26000 }, { "epoch": 0.65025, "grad_norm": 29.0, "grad_norm_var": 9.589518229166666, "learning_rate": 0.0001, "loss": 7.0924, "loss/crossentropy": 1.897086238861084, "loss/hidden": 3.268359375, "loss/jsd": 0.0, "loss/logits": 0.16815462270751597, "step": 26010 }, { "epoch": 0.6505, "grad_norm": 28.75, "grad_norm_var": 9.5869140625, "learning_rate": 0.0001, "loss": 7.2116, "loss/crossentropy": 2.1296266965568065, "loss/hidden": 3.293359375, "loss/jsd": 0.0, "loss/logits": 0.18028478175401688, "step": 26020 }, { "epoch": 0.65075, "grad_norm": 28.75, "grad_norm_var": 3.5872395833333335, "learning_rate": 0.0001, "loss": 7.2718, "loss/crossentropy": 2.0453512027859686, "loss/hidden": 3.26484375, "loss/jsd": 0.0, "loss/logits": 0.17293851375579833, "step": 26030 }, { "epoch": 0.651, "grad_norm": 32.0, "grad_norm_var": 24.023372395833334, "learning_rate": 0.0001, "loss": 7.3717, "loss/crossentropy": 2.1030614957213403, "loss/hidden": 3.29296875, "loss/jsd": 0.0, "loss/logits": 0.17731762621551753, "step": 26040 }, { "epoch": 0.65125, "grad_norm": 28.75, "grad_norm_var": 9.29140625, "learning_rate": 0.0001, "loss": 7.1228, "loss/crossentropy": 2.021975876390934, "loss/hidden": 3.36328125, "loss/jsd": 0.0, "loss/logits": 0.18740149699151515, "step": 26050 }, { "epoch": 0.6515, "grad_norm": 31.0, "grad_norm_var": 2.4125, "learning_rate": 0.0001, "loss": 7.2849, "loss/crossentropy": 2.0947029411792757, "loss/hidden": 3.359375, "loss/jsd": 0.0, "loss/logits": 0.18155105784535408, "step": 26060 }, { "epoch": 0.65175, "grad_norm": 31.25, "grad_norm_var": 2.3160807291666665, "learning_rate": 0.0001, "loss": 7.3504, "loss/crossentropy": 2.0333006374537943, "loss/hidden": 3.40078125, "loss/jsd": 0.0, "loss/logits": 0.21557488106191158, "step": 26070 }, { "epoch": 0.652, "grad_norm": 66.0, "grad_norm_var": 78.5587890625, "learning_rate": 0.0001, "loss": 7.2023, "loss/crossentropy": 2.028635681420565, "loss/hidden": 3.33671875, "loss/jsd": 0.0, "loss/logits": 0.18349210238084196, "step": 26080 }, { "epoch": 0.65225, "grad_norm": 29.875, "grad_norm_var": 81.18723958333334, "learning_rate": 0.0001, "loss": 7.2882, "loss/crossentropy": 2.110158285498619, "loss/hidden": 3.305078125, "loss/jsd": 0.0, "loss/logits": 0.18722082171589136, "step": 26090 }, { "epoch": 0.6525, "grad_norm": 29.375, "grad_norm_var": 2.225, "learning_rate": 0.0001, "loss": 7.251, "loss/crossentropy": 2.032511693239212, "loss/hidden": 3.329296875, "loss/jsd": 0.0, "loss/logits": 0.20495209330692887, "step": 26100 }, { "epoch": 0.65275, "grad_norm": 30.5, "grad_norm_var": 1.6942057291666666, "learning_rate": 0.0001, "loss": 7.3307, "loss/crossentropy": 2.1366796389222147, "loss/hidden": 3.29453125, "loss/jsd": 0.0, "loss/logits": 0.18084107786417009, "step": 26110 }, { "epoch": 0.653, "grad_norm": 33.0, "grad_norm_var": 1.9559895833333334, "learning_rate": 0.0001, "loss": 7.2364, "loss/crossentropy": 2.198021276295185, "loss/hidden": 3.334375, "loss/jsd": 0.0, "loss/logits": 0.1900389553979039, "step": 26120 }, { "epoch": 0.65325, "grad_norm": 30.125, "grad_norm_var": 2.31640625, "learning_rate": 0.0001, "loss": 7.2938, "loss/crossentropy": 2.0711926236748694, "loss/hidden": 3.28203125, "loss/jsd": 0.0, "loss/logits": 0.17610593941062688, "step": 26130 }, { "epoch": 0.6535, "grad_norm": 30.375, "grad_norm_var": 2.4072916666666666, "learning_rate": 0.0001, "loss": 7.2918, "loss/crossentropy": 2.1544741809368135, "loss/hidden": 3.4359375, "loss/jsd": 0.0, "loss/logits": 0.1978639720007777, "step": 26140 }, { "epoch": 0.65375, "grad_norm": 28.75, "grad_norm_var": 3.3955729166666666, "learning_rate": 0.0001, "loss": 7.2798, "loss/crossentropy": 2.0444336414337156, "loss/hidden": 3.42109375, "loss/jsd": 0.0, "loss/logits": 0.19784381221979858, "step": 26150 }, { "epoch": 0.654, "grad_norm": 28.875, "grad_norm_var": 3.7181640625, "learning_rate": 0.0001, "loss": 7.1077, "loss/crossentropy": 1.962803577259183, "loss/hidden": 3.33671875, "loss/jsd": 0.0, "loss/logits": 0.17380120740272104, "step": 26160 }, { "epoch": 0.65425, "grad_norm": 28.75, "grad_norm_var": 10.5541015625, "learning_rate": 0.0001, "loss": 7.2623, "loss/crossentropy": 2.0290966272354125, "loss/hidden": 3.426171875, "loss/jsd": 0.0, "loss/logits": 0.1842226268723607, "step": 26170 }, { "epoch": 0.6545, "grad_norm": 31.5, "grad_norm_var": 8.968489583333334, "learning_rate": 0.0001, "loss": 7.2974, "loss/crossentropy": 2.0671102195978164, "loss/hidden": 3.2921875, "loss/jsd": 0.0, "loss/logits": 0.1779710568487644, "step": 26180 }, { "epoch": 0.65475, "grad_norm": 29.125, "grad_norm_var": 2.0238932291666667, "learning_rate": 0.0001, "loss": 7.1929, "loss/crossentropy": 1.9803795799613, "loss/hidden": 3.2546875, "loss/jsd": 0.0, "loss/logits": 0.16597625594586135, "step": 26190 }, { "epoch": 0.655, "grad_norm": 31.75, "grad_norm_var": 1.8580729166666667, "learning_rate": 0.0001, "loss": 7.2966, "loss/crossentropy": 2.0811556324362757, "loss/hidden": 3.396484375, "loss/jsd": 0.0, "loss/logits": 0.1854775669053197, "step": 26200 }, { "epoch": 0.65525, "grad_norm": 30.125, "grad_norm_var": 1.6707682291666666, "learning_rate": 0.0001, "loss": 7.2357, "loss/crossentropy": 2.1400867104530334, "loss/hidden": 3.327734375, "loss/jsd": 0.0, "loss/logits": 0.186828719265759, "step": 26210 }, { "epoch": 0.6555, "grad_norm": 29.625, "grad_norm_var": 3.0072916666666667, "learning_rate": 0.0001, "loss": 7.3599, "loss/crossentropy": 2.144706717133522, "loss/hidden": 3.33359375, "loss/jsd": 0.0, "loss/logits": 0.19139624712988734, "step": 26220 }, { "epoch": 0.65575, "grad_norm": 30.25, "grad_norm_var": 3.9947265625, "learning_rate": 0.0001, "loss": 7.3455, "loss/crossentropy": 1.9842251062393188, "loss/hidden": 3.358203125, "loss/jsd": 0.0, "loss/logits": 0.18394090216606857, "step": 26230 }, { "epoch": 0.656, "grad_norm": 30.75, "grad_norm_var": 2.8645833333333335, "learning_rate": 0.0001, "loss": 7.2688, "loss/crossentropy": 2.0962007105350495, "loss/hidden": 3.376953125, "loss/jsd": 0.0, "loss/logits": 0.19022967889904976, "step": 26240 }, { "epoch": 0.65625, "grad_norm": 30.5, "grad_norm_var": 1.3143229166666666, "learning_rate": 0.0001, "loss": 7.1723, "loss/crossentropy": 2.0132046937942505, "loss/hidden": 3.334765625, "loss/jsd": 0.0, "loss/logits": 0.1787968127988279, "step": 26250 }, { "epoch": 0.6565, "grad_norm": 30.5, "grad_norm_var": 1.4431640625, "learning_rate": 0.0001, "loss": 7.3366, "loss/crossentropy": 1.9615045070648194, "loss/hidden": 3.530078125, "loss/jsd": 0.0, "loss/logits": 0.1971464239060879, "step": 26260 }, { "epoch": 0.65675, "grad_norm": 32.75, "grad_norm_var": 2.0830729166666666, "learning_rate": 0.0001, "loss": 7.1952, "loss/crossentropy": 2.1030160948634147, "loss/hidden": 3.43828125, "loss/jsd": 0.0, "loss/logits": 0.19630551328882576, "step": 26270 }, { "epoch": 0.657, "grad_norm": 29.625, "grad_norm_var": 2.318489583333333, "learning_rate": 0.0001, "loss": 7.3209, "loss/crossentropy": 2.2092444196343424, "loss/hidden": 3.28046875, "loss/jsd": 0.0, "loss/logits": 0.18095392240211366, "step": 26280 }, { "epoch": 0.65725, "grad_norm": 29.875, "grad_norm_var": 2.3046223958333334, "learning_rate": 0.0001, "loss": 7.2758, "loss/crossentropy": 2.183464777469635, "loss/hidden": 3.33671875, "loss/jsd": 0.0, "loss/logits": 0.18903474770486356, "step": 26290 }, { "epoch": 0.6575, "grad_norm": 31.25, "grad_norm_var": 1.9020182291666667, "learning_rate": 0.0001, "loss": 7.4311, "loss/crossentropy": 2.121826934814453, "loss/hidden": 3.409375, "loss/jsd": 0.0, "loss/logits": 0.18777972608804702, "step": 26300 }, { "epoch": 0.65775, "grad_norm": 32.25, "grad_norm_var": 1.5416015625, "learning_rate": 0.0001, "loss": 7.3132, "loss/crossentropy": 1.9226845420897007, "loss/hidden": 3.371484375, "loss/jsd": 0.0, "loss/logits": 0.17548658936284484, "step": 26310 }, { "epoch": 0.658, "grad_norm": 30.0, "grad_norm_var": 3.8861138654567685e+18, "learning_rate": 0.0001, "loss": 7.347, "loss/crossentropy": 2.1671392902731896, "loss/hidden": 3.2453125, "loss/jsd": 0.0, "loss/logits": 0.18836958818137645, "step": 26320 }, { "epoch": 0.65825, "grad_norm": 30.375, "grad_norm_var": 5.1875, "learning_rate": 0.0001, "loss": 7.2642, "loss/crossentropy": 2.178332243859768, "loss/hidden": 3.2421875, "loss/jsd": 0.0, "loss/logits": 0.17817392963916062, "step": 26330 }, { "epoch": 0.6585, "grad_norm": 27.875, "grad_norm_var": 1.3184895833333334, "learning_rate": 0.0001, "loss": 7.2345, "loss/crossentropy": 2.0184032306075097, "loss/hidden": 3.3078125, "loss/jsd": 0.0, "loss/logits": 0.18142256420105696, "step": 26340 }, { "epoch": 0.65875, "grad_norm": 29.875, "grad_norm_var": 3.35390625, "learning_rate": 0.0001, "loss": 7.4358, "loss/crossentropy": 2.070467638969421, "loss/hidden": 3.31796875, "loss/jsd": 0.0, "loss/logits": 0.18492308855056763, "step": 26350 }, { "epoch": 0.659, "grad_norm": 30.5, "grad_norm_var": 37.557291666666664, "learning_rate": 0.0001, "loss": 7.4061, "loss/crossentropy": 2.0928609974682333, "loss/hidden": 3.431640625, "loss/jsd": 0.0, "loss/logits": 0.19751368090510368, "step": 26360 }, { "epoch": 0.65925, "grad_norm": 31.625, "grad_norm_var": 48.10182291666667, "learning_rate": 0.0001, "loss": 7.3098, "loss/crossentropy": 2.0748341269791126, "loss/hidden": 3.390234375, "loss/jsd": 0.0, "loss/logits": 0.19011560268700123, "step": 26370 }, { "epoch": 0.6595, "grad_norm": 32.25, "grad_norm_var": 8.820833333333333, "learning_rate": 0.0001, "loss": 7.3229, "loss/crossentropy": 1.9827906161546707, "loss/hidden": 3.305078125, "loss/jsd": 0.0, "loss/logits": 0.17519382825121282, "step": 26380 }, { "epoch": 0.65975, "grad_norm": 30.375, "grad_norm_var": 21.3150390625, "learning_rate": 0.0001, "loss": 7.3129, "loss/crossentropy": 2.027328287810087, "loss/hidden": 3.359375, "loss/jsd": 0.0, "loss/logits": 0.1863293987698853, "step": 26390 }, { "epoch": 0.66, "grad_norm": 34.25, "grad_norm_var": 11.154622395833334, "learning_rate": 0.0001, "loss": 7.3147, "loss/crossentropy": 2.0382798433303835, "loss/hidden": 3.2234375, "loss/jsd": 0.0, "loss/logits": 0.17127347458153963, "step": 26400 }, { "epoch": 0.66025, "grad_norm": 29.125, "grad_norm_var": 11.134309895833333, "learning_rate": 0.0001, "loss": 7.1528, "loss/crossentropy": 2.187176838517189, "loss/hidden": 3.320703125, "loss/jsd": 0.0, "loss/logits": 0.18337102625519036, "step": 26410 }, { "epoch": 0.6605, "grad_norm": 30.875, "grad_norm_var": 2.5205729166666666, "learning_rate": 0.0001, "loss": 7.1994, "loss/crossentropy": 1.8949346490204335, "loss/hidden": 3.483984375, "loss/jsd": 0.0, "loss/logits": 0.1746540881693363, "step": 26420 }, { "epoch": 0.66075, "grad_norm": 29.875, "grad_norm_var": 6.1259765625, "learning_rate": 0.0001, "loss": 7.3588, "loss/crossentropy": 2.1892473474144936, "loss/hidden": 3.39765625, "loss/jsd": 0.0, "loss/logits": 0.18937738612294197, "step": 26430 }, { "epoch": 0.661, "grad_norm": 29.5, "grad_norm_var": 5.56640625, "learning_rate": 0.0001, "loss": 7.3516, "loss/crossentropy": 2.1834142342209817, "loss/hidden": 3.40078125, "loss/jsd": 0.0, "loss/logits": 0.19312054924666883, "step": 26440 }, { "epoch": 0.66125, "grad_norm": 32.0, "grad_norm_var": 2.439583333333333, "learning_rate": 0.0001, "loss": 7.3007, "loss/crossentropy": 2.1448648869991302, "loss/hidden": 3.483203125, "loss/jsd": 0.0, "loss/logits": 0.2111048873513937, "step": 26450 }, { "epoch": 0.6615, "grad_norm": 31.0, "grad_norm_var": 2.1797421966524677e+18, "learning_rate": 0.0001, "loss": 7.3607, "loss/crossentropy": 1.9932497456669807, "loss/hidden": 3.45390625, "loss/jsd": 0.0, "loss/logits": 0.2144283948466182, "step": 26460 }, { "epoch": 0.66175, "grad_norm": 34.5, "grad_norm_var": 5.677018229166666, "learning_rate": 0.0001, "loss": 7.306, "loss/crossentropy": 2.0623308643698692, "loss/hidden": 3.3484375, "loss/jsd": 0.0, "loss/logits": 0.18320082779973745, "step": 26470 }, { "epoch": 0.662, "grad_norm": 27.0, "grad_norm_var": 4.14765625, "learning_rate": 0.0001, "loss": 7.3311, "loss/crossentropy": 2.0493450671434403, "loss/hidden": 3.4734375, "loss/jsd": 0.0, "loss/logits": 0.19104604441672562, "step": 26480 }, { "epoch": 0.66225, "grad_norm": 29.75, "grad_norm_var": 3.660872395833333, "learning_rate": 0.0001, "loss": 7.2653, "loss/crossentropy": 2.031788290292025, "loss/hidden": 3.29609375, "loss/jsd": 0.0, "loss/logits": 0.1821944302879274, "step": 26490 }, { "epoch": 0.6625, "grad_norm": 30.125, "grad_norm_var": 1.8124348958333334, "learning_rate": 0.0001, "loss": 7.4374, "loss/crossentropy": 2.1484886214137076, "loss/hidden": 3.4734375, "loss/jsd": 0.0, "loss/logits": 0.20224297530949115, "step": 26500 }, { "epoch": 0.66275, "grad_norm": 29.0, "grad_norm_var": 3.9587890625, "learning_rate": 0.0001, "loss": 7.2393, "loss/crossentropy": 2.018560293316841, "loss/hidden": 3.366796875, "loss/jsd": 0.0, "loss/logits": 0.18759384863078593, "step": 26510 }, { "epoch": 0.663, "grad_norm": 30.5, "grad_norm_var": 2.620247395833333, "learning_rate": 0.0001, "loss": 7.3181, "loss/crossentropy": 2.145674556493759, "loss/hidden": 3.319140625, "loss/jsd": 0.0, "loss/logits": 0.18435985408723354, "step": 26520 }, { "epoch": 0.66325, "grad_norm": 31.125, "grad_norm_var": 7.412239583333333, "learning_rate": 0.0001, "loss": 7.2507, "loss/crossentropy": 2.0798817604780195, "loss/hidden": 3.341796875, "loss/jsd": 0.0, "loss/logits": 0.18773154616355897, "step": 26530 }, { "epoch": 0.6635, "grad_norm": 29.5, "grad_norm_var": 7.8681640625, "learning_rate": 0.0001, "loss": 7.2586, "loss/crossentropy": 2.061510816216469, "loss/hidden": 3.271875, "loss/jsd": 0.0, "loss/logits": 0.19057576302438975, "step": 26540 }, { "epoch": 0.66375, "grad_norm": 31.125, "grad_norm_var": 6.52890625, "learning_rate": 0.0001, "loss": 7.3062, "loss/crossentropy": 2.072283536195755, "loss/hidden": 3.26328125, "loss/jsd": 0.0, "loss/logits": 0.18644256051629782, "step": 26550 }, { "epoch": 0.664, "grad_norm": 29.5, "grad_norm_var": 7.605143229166667, "learning_rate": 0.0001, "loss": 7.2383, "loss/crossentropy": 1.9341054081916809, "loss/hidden": 3.362109375, "loss/jsd": 0.0, "loss/logits": 0.16742698140442372, "step": 26560 }, { "epoch": 0.66425, "grad_norm": 31.125, "grad_norm_var": 2.6518229166666667, "learning_rate": 0.0001, "loss": 7.244, "loss/crossentropy": 2.0679861828684807, "loss/hidden": 3.309375, "loss/jsd": 0.0, "loss/logits": 0.17691615503281355, "step": 26570 }, { "epoch": 0.6645, "grad_norm": 31.125, "grad_norm_var": 4.612434895833333, "learning_rate": 0.0001, "loss": 7.3328, "loss/crossentropy": 2.1904489412903785, "loss/hidden": 3.303125, "loss/jsd": 0.0, "loss/logits": 0.1809101757593453, "step": 26580 }, { "epoch": 0.66475, "grad_norm": 38.5, "grad_norm_var": 7.606705729166666, "learning_rate": 0.0001, "loss": 7.2347, "loss/crossentropy": 1.9506058931350707, "loss/hidden": 3.40390625, "loss/jsd": 0.0, "loss/logits": 0.19015372060239316, "step": 26590 }, { "epoch": 0.665, "grad_norm": 30.0, "grad_norm_var": 6.116080729166667, "learning_rate": 0.0001, "loss": 7.1566, "loss/crossentropy": 1.8624847821891308, "loss/hidden": 3.335546875, "loss/jsd": 0.0, "loss/logits": 0.1748434605076909, "step": 26600 }, { "epoch": 0.66525, "grad_norm": 30.375, "grad_norm_var": 3.2030598958333334, "learning_rate": 0.0001, "loss": 7.2837, "loss/crossentropy": 2.1139489620923997, "loss/hidden": 3.26953125, "loss/jsd": 0.0, "loss/logits": 0.1822458105161786, "step": 26610 }, { "epoch": 0.6655, "grad_norm": 28.875, "grad_norm_var": 46.1978515625, "learning_rate": 0.0001, "loss": 7.1554, "loss/crossentropy": 1.8614851802587509, "loss/hidden": 3.365234375, "loss/jsd": 0.0, "loss/logits": 0.16477091368287802, "step": 26620 }, { "epoch": 0.66575, "grad_norm": 30.75, "grad_norm_var": 2.6504557291666666, "learning_rate": 0.0001, "loss": 7.2609, "loss/crossentropy": 2.2226543337106706, "loss/hidden": 3.301953125, "loss/jsd": 0.0, "loss/logits": 0.1956513339653611, "step": 26630 }, { "epoch": 0.666, "grad_norm": 31.125, "grad_norm_var": 3.601822916666667, "learning_rate": 0.0001, "loss": 7.2908, "loss/crossentropy": 2.0410634987056255, "loss/hidden": 3.279296875, "loss/jsd": 0.0, "loss/logits": 0.171825285628438, "step": 26640 }, { "epoch": 0.66625, "grad_norm": 28.75, "grad_norm_var": 19.392708333333335, "learning_rate": 0.0001, "loss": 7.2709, "loss/crossentropy": 2.044853265583515, "loss/hidden": 3.29921875, "loss/jsd": 0.0, "loss/logits": 0.18632043413817884, "step": 26650 }, { "epoch": 0.6665, "grad_norm": 31.0, "grad_norm_var": 4.559375, "learning_rate": 0.0001, "loss": 7.2649, "loss/crossentropy": 2.1507553339004515, "loss/hidden": 3.284375, "loss/jsd": 0.0, "loss/logits": 0.17937973625957965, "step": 26660 }, { "epoch": 0.66675, "grad_norm": 33.25, "grad_norm_var": 3.41875, "learning_rate": 0.0001, "loss": 7.3469, "loss/crossentropy": 2.1353399351239206, "loss/hidden": 3.253125, "loss/jsd": 0.0, "loss/logits": 0.17566792499274014, "step": 26670 }, { "epoch": 0.667, "grad_norm": 28.125, "grad_norm_var": 2.9119140625, "learning_rate": 0.0001, "loss": 7.2886, "loss/crossentropy": 2.0442838847637175, "loss/hidden": 3.397265625, "loss/jsd": 0.0, "loss/logits": 0.1838838504627347, "step": 26680 }, { "epoch": 0.66725, "grad_norm": 29.75, "grad_norm_var": 3.5166015625, "learning_rate": 0.0001, "loss": 7.268, "loss/crossentropy": 2.0146602764725685, "loss/hidden": 3.432421875, "loss/jsd": 0.0, "loss/logits": 0.189494782499969, "step": 26690 }, { "epoch": 0.6675, "grad_norm": 31.375, "grad_norm_var": 2.2447916666666665, "learning_rate": 0.0001, "loss": 7.2655, "loss/crossentropy": 2.062611496448517, "loss/hidden": 3.42578125, "loss/jsd": 0.0, "loss/logits": 0.20330444928258656, "step": 26700 }, { "epoch": 0.66775, "grad_norm": 28.375, "grad_norm_var": 3.17265625, "learning_rate": 0.0001, "loss": 7.3095, "loss/crossentropy": 2.1450613498687745, "loss/hidden": 3.346484375, "loss/jsd": 0.0, "loss/logits": 0.18933778218925, "step": 26710 }, { "epoch": 0.668, "grad_norm": 30.25, "grad_norm_var": 1.965625, "learning_rate": 0.0001, "loss": 7.2676, "loss/crossentropy": 1.9853663839399815, "loss/hidden": 3.250390625, "loss/jsd": 0.0, "loss/logits": 0.17568059861660004, "step": 26720 }, { "epoch": 0.66825, "grad_norm": 29.75, "grad_norm_var": 115517274069465.19, "learning_rate": 0.0001, "loss": 7.3871, "loss/crossentropy": 2.2481682300567627, "loss/hidden": 3.358984375, "loss/jsd": 0.0, "loss/logits": 0.19613477736711502, "step": 26730 }, { "epoch": 0.6685, "grad_norm": 29.875, "grad_norm_var": 115517270039004.08, "learning_rate": 0.0001, "loss": 7.3836, "loss/crossentropy": 2.221486309170723, "loss/hidden": 3.33359375, "loss/jsd": 0.0, "loss/logits": 0.19494929853826762, "step": 26740 }, { "epoch": 0.66875, "grad_norm": 27.875, "grad_norm_var": 1.67890625, "learning_rate": 0.0001, "loss": 7.2099, "loss/crossentropy": 2.0120978243649006, "loss/hidden": 3.4109375, "loss/jsd": 0.0, "loss/logits": 0.16912673255428673, "step": 26750 }, { "epoch": 0.669, "grad_norm": 28.0, "grad_norm_var": 3.424934895833333, "learning_rate": 0.0001, "loss": 7.2854, "loss/crossentropy": 2.1522657334804536, "loss/hidden": 3.284375, "loss/jsd": 0.0, "loss/logits": 0.17450021374970676, "step": 26760 }, { "epoch": 0.66925, "grad_norm": 32.5, "grad_norm_var": 10.490625, "learning_rate": 0.0001, "loss": 7.4043, "loss/crossentropy": 2.03169424161315, "loss/hidden": 3.3890625, "loss/jsd": 0.0, "loss/logits": 0.18973638992756606, "step": 26770 }, { "epoch": 0.6695, "grad_norm": 40.5, "grad_norm_var": 13.8400390625, "learning_rate": 0.0001, "loss": 7.3005, "loss/crossentropy": 2.010363797843456, "loss/hidden": 3.431640625, "loss/jsd": 0.0, "loss/logits": 0.2009760271757841, "step": 26780 }, { "epoch": 0.66975, "grad_norm": 29.875, "grad_norm_var": 9.314518229166667, "learning_rate": 0.0001, "loss": 7.3094, "loss/crossentropy": 2.0870240703225136, "loss/hidden": 3.351171875, "loss/jsd": 0.0, "loss/logits": 0.19831706527620555, "step": 26790 }, { "epoch": 0.67, "grad_norm": 34.0, "grad_norm_var": 2.0208333333333335, "learning_rate": 0.0001, "loss": 7.3591, "loss/crossentropy": 1.9903123408555985, "loss/hidden": 3.4703125, "loss/jsd": 0.0, "loss/logits": 0.18768544010818006, "step": 26800 }, { "epoch": 0.67025, "grad_norm": 30.75, "grad_norm_var": 5.1962890625, "learning_rate": 0.0001, "loss": 7.3379, "loss/crossentropy": 1.9887514635920525, "loss/hidden": 3.42734375, "loss/jsd": 0.0, "loss/logits": 0.18731831386685371, "step": 26810 }, { "epoch": 0.6705, "grad_norm": 30.875, "grad_norm_var": 5.4275390625, "learning_rate": 0.0001, "loss": 7.2099, "loss/crossentropy": 2.2334194481372833, "loss/hidden": 3.294921875, "loss/jsd": 0.0, "loss/logits": 0.18677575308829547, "step": 26820 }, { "epoch": 0.67075, "grad_norm": 30.5, "grad_norm_var": 2.9624348958333333, "learning_rate": 0.0001, "loss": 7.2166, "loss/crossentropy": 2.09789634346962, "loss/hidden": 3.352734375, "loss/jsd": 0.0, "loss/logits": 0.1792703490704298, "step": 26830 }, { "epoch": 0.671, "grad_norm": 28.75, "grad_norm_var": 1.0145833333333334, "learning_rate": 0.0001, "loss": 7.2917, "loss/crossentropy": 2.083233179152012, "loss/hidden": 3.42734375, "loss/jsd": 0.0, "loss/logits": 0.1986743938177824, "step": 26840 }, { "epoch": 0.67125, "grad_norm": 37.25, "grad_norm_var": 23.931184895833333, "learning_rate": 0.0001, "loss": 7.2443, "loss/crossentropy": 2.0056370086967945, "loss/hidden": 3.33671875, "loss/jsd": 0.0, "loss/logits": 0.1743487582542002, "step": 26850 }, { "epoch": 0.6715, "grad_norm": 30.0, "grad_norm_var": 21.345768229166666, "learning_rate": 0.0001, "loss": 7.2698, "loss/crossentropy": 2.222350174188614, "loss/hidden": 3.3890625, "loss/jsd": 0.0, "loss/logits": 0.199802653118968, "step": 26860 }, { "epoch": 0.67175, "grad_norm": 30.5, "grad_norm_var": 106.80930989583334, "learning_rate": 0.0001, "loss": 7.3626, "loss/crossentropy": 2.0834795638918875, "loss/hidden": 3.463671875, "loss/jsd": 0.0, "loss/logits": 0.18940293360501528, "step": 26870 }, { "epoch": 0.672, "grad_norm": 30.875, "grad_norm_var": 2.638541666666667, "learning_rate": 0.0001, "loss": 7.3212, "loss/crossentropy": 2.131199154257774, "loss/hidden": 3.406640625, "loss/jsd": 0.0, "loss/logits": 0.19130074717104434, "step": 26880 }, { "epoch": 0.67225, "grad_norm": 7314866176.0, "grad_norm_var": 3.3442041705028127e+18, "learning_rate": 0.0001, "loss": 7.269, "loss/crossentropy": 2.047175918519497, "loss/hidden": 3.33125, "loss/jsd": 0.0, "loss/logits": 0.174586620926857, "step": 26890 }, { "epoch": 0.6725, "grad_norm": 31.25, "grad_norm_var": 3.344204168613139e+18, "learning_rate": 0.0001, "loss": 7.3649, "loss/crossentropy": 2.140024873614311, "loss/hidden": 3.348828125, "loss/jsd": 0.0, "loss/logits": 0.1875780440866947, "step": 26900 }, { "epoch": 0.67275, "grad_norm": 30.375, "grad_norm_var": 19.369791666666668, "learning_rate": 0.0001, "loss": 7.2309, "loss/crossentropy": 2.0859541945159434, "loss/hidden": 3.3109375, "loss/jsd": 0.0, "loss/logits": 0.17924507465213538, "step": 26910 }, { "epoch": 0.673, "grad_norm": 31.0, "grad_norm_var": 2.1056640625, "learning_rate": 0.0001, "loss": 7.3053, "loss/crossentropy": 1.9552275583148002, "loss/hidden": 3.28203125, "loss/jsd": 0.0, "loss/logits": 0.16615418754518033, "step": 26920 }, { "epoch": 0.67325, "grad_norm": 29.125, "grad_norm_var": 9.1228515625, "learning_rate": 0.0001, "loss": 7.3161, "loss/crossentropy": 2.051589508354664, "loss/hidden": 3.43359375, "loss/jsd": 0.0, "loss/logits": 0.1953272173181176, "step": 26930 }, { "epoch": 0.6735, "grad_norm": 33.25, "grad_norm_var": 12.4322265625, "learning_rate": 0.0001, "loss": 7.2163, "loss/crossentropy": 2.039374630153179, "loss/hidden": 3.320703125, "loss/jsd": 0.0, "loss/logits": 0.1790797933936119, "step": 26940 }, { "epoch": 0.67375, "grad_norm": 29.5, "grad_norm_var": 10.328580729166667, "learning_rate": 0.0001, "loss": 7.2611, "loss/crossentropy": 2.135941173136234, "loss/hidden": 3.310546875, "loss/jsd": 0.0, "loss/logits": 0.18610633611679078, "step": 26950 }, { "epoch": 0.674, "grad_norm": 28.5, "grad_norm_var": 2.2393229166666666, "learning_rate": 0.0001, "loss": 7.2542, "loss/crossentropy": 2.061223492026329, "loss/hidden": 3.237109375, "loss/jsd": 0.0, "loss/logits": 0.1693508742377162, "step": 26960 }, { "epoch": 0.67425, "grad_norm": 31.375, "grad_norm_var": 2.8309895833333334, "learning_rate": 0.0001, "loss": 7.3494, "loss/crossentropy": 2.034488780796528, "loss/hidden": 3.362109375, "loss/jsd": 0.0, "loss/logits": 0.18367824982851744, "step": 26970 }, { "epoch": 0.6745, "grad_norm": 32.0, "grad_norm_var": 1.6082682291666666, "learning_rate": 0.0001, "loss": 7.2714, "loss/crossentropy": 2.127776539325714, "loss/hidden": 3.454296875, "loss/jsd": 0.0, "loss/logits": 0.19541560169309377, "step": 26980 }, { "epoch": 0.67475, "grad_norm": 32.0, "grad_norm_var": 2.8431640625, "learning_rate": 0.0001, "loss": 7.2163, "loss/crossentropy": 1.9815926529467105, "loss/hidden": 3.291796875, "loss/jsd": 0.0, "loss/logits": 0.187463073246181, "step": 26990 }, { "epoch": 0.675, "grad_norm": 29.875, "grad_norm_var": 12.0572265625, "learning_rate": 0.0001, "loss": 7.3076, "loss/crossentropy": 2.025939218699932, "loss/hidden": 3.33671875, "loss/jsd": 0.0, "loss/logits": 0.18148638047277926, "step": 27000 }, { "epoch": 0.67525, "grad_norm": 28.25, "grad_norm_var": 2.4364583333333334, "learning_rate": 0.0001, "loss": 7.2504, "loss/crossentropy": 2.1637841314077377, "loss/hidden": 3.25625, "loss/jsd": 0.0, "loss/logits": 0.1768895300105214, "step": 27010 }, { "epoch": 0.6755, "grad_norm": 27.375, "grad_norm_var": 3.078125, "learning_rate": 0.0001, "loss": 7.2796, "loss/crossentropy": 2.167166344821453, "loss/hidden": 3.372265625, "loss/jsd": 0.0, "loss/logits": 0.20178660629317163, "step": 27020 }, { "epoch": 0.67575, "grad_norm": 30.25, "grad_norm_var": 2.6186848958333333, "learning_rate": 0.0001, "loss": 7.3119, "loss/crossentropy": 2.0646814957261084, "loss/hidden": 3.433984375, "loss/jsd": 0.0, "loss/logits": 0.19334694920107723, "step": 27030 }, { "epoch": 0.676, "grad_norm": 30.125, "grad_norm_var": 2.6322265625, "learning_rate": 0.0001, "loss": 7.2636, "loss/crossentropy": 2.04083681628108, "loss/hidden": 3.30390625, "loss/jsd": 0.0, "loss/logits": 0.17480793623253704, "step": 27040 }, { "epoch": 0.67625, "grad_norm": 28.125, "grad_norm_var": 2.957246447870105e+18, "learning_rate": 0.0001, "loss": 7.3215, "loss/crossentropy": 2.062483212351799, "loss/hidden": 3.33359375, "loss/jsd": 0.0, "loss/logits": 0.1790636266581714, "step": 27050 }, { "epoch": 0.6765, "grad_norm": 31.0, "grad_norm_var": 2.9572464473757015e+18, "learning_rate": 0.0001, "loss": 7.2078, "loss/crossentropy": 2.1033657416701317, "loss/hidden": 3.312890625, "loss/jsd": 0.0, "loss/logits": 0.1807030899450183, "step": 27060 }, { "epoch": 0.67675, "grad_norm": 28.875, "grad_norm_var": 5.155208333333333, "learning_rate": 0.0001, "loss": 7.2486, "loss/crossentropy": 1.976552402228117, "loss/hidden": 3.340625, "loss/jsd": 0.0, "loss/logits": 0.17463484006002544, "step": 27070 }, { "epoch": 0.677, "grad_norm": 30.625, "grad_norm_var": 1.590625, "learning_rate": 0.0001, "loss": 7.2763, "loss/crossentropy": 2.1383912026882173, "loss/hidden": 3.283984375, "loss/jsd": 0.0, "loss/logits": 0.1793740052729845, "step": 27080 }, { "epoch": 0.67725, "grad_norm": 29.125, "grad_norm_var": 1.7791015625, "learning_rate": 0.0001, "loss": 7.3335, "loss/crossentropy": 2.183702952414751, "loss/hidden": 3.391015625, "loss/jsd": 0.0, "loss/logits": 0.20361373238265515, "step": 27090 }, { "epoch": 0.6775, "grad_norm": 31.625, "grad_norm_var": 1.4552083333333334, "learning_rate": 0.0001, "loss": 7.1603, "loss/crossentropy": 2.2112974256277083, "loss/hidden": 3.250390625, "loss/jsd": 0.0, "loss/logits": 0.17802942357957363, "step": 27100 }, { "epoch": 0.67775, "grad_norm": 29.375, "grad_norm_var": 2.090625, "learning_rate": 0.0001, "loss": 7.282, "loss/crossentropy": 2.1228010304272176, "loss/hidden": 3.36171875, "loss/jsd": 0.0, "loss/logits": 0.1823104264214635, "step": 27110 }, { "epoch": 0.678, "grad_norm": 31.125, "grad_norm_var": 1.84765625, "learning_rate": 0.0001, "loss": 7.2531, "loss/crossentropy": 2.0709615498781204, "loss/hidden": 3.299609375, "loss/jsd": 0.0, "loss/logits": 0.171175280213356, "step": 27120 }, { "epoch": 0.67825, "grad_norm": 30.125, "grad_norm_var": 2.8655598958333335, "learning_rate": 0.0001, "loss": 7.3062, "loss/crossentropy": 2.2544207006692885, "loss/hidden": 3.384765625, "loss/jsd": 0.0, "loss/logits": 0.20476784072816373, "step": 27130 }, { "epoch": 0.6785, "grad_norm": 30.25, "grad_norm_var": 1.9958333333333333, "learning_rate": 0.0001, "loss": 7.269, "loss/crossentropy": 2.044566038250923, "loss/hidden": 3.416015625, "loss/jsd": 0.0, "loss/logits": 0.18673994652926923, "step": 27140 }, { "epoch": 0.67875, "grad_norm": 33.25, "grad_norm_var": 2.787239583333333, "learning_rate": 0.0001, "loss": 7.3861, "loss/crossentropy": 2.076129969954491, "loss/hidden": 3.269921875, "loss/jsd": 0.0, "loss/logits": 0.17596831321716308, "step": 27150 }, { "epoch": 0.679, "grad_norm": 30.375, "grad_norm_var": 4.278059895833334, "learning_rate": 0.0001, "loss": 7.4392, "loss/crossentropy": 2.0484411746263502, "loss/hidden": 3.398828125, "loss/jsd": 0.0, "loss/logits": 0.1874468218535185, "step": 27160 }, { "epoch": 0.67925, "grad_norm": 30.625, "grad_norm_var": 2.25390625, "learning_rate": 0.0001, "loss": 7.1788, "loss/crossentropy": 2.180029886960983, "loss/hidden": 3.38984375, "loss/jsd": 0.0, "loss/logits": 0.20117557551711798, "step": 27170 }, { "epoch": 0.6795, "grad_norm": 31.625, "grad_norm_var": 5.522330729166667, "learning_rate": 0.0001, "loss": 7.2891, "loss/crossentropy": 1.8975796066224575, "loss/hidden": 3.30703125, "loss/jsd": 0.0, "loss/logits": 0.17547342590987683, "step": 27180 }, { "epoch": 0.67975, "grad_norm": 30.375, "grad_norm_var": 11.6009765625, "learning_rate": 0.0001, "loss": 7.1943, "loss/crossentropy": 2.1247182063758374, "loss/hidden": 3.315625, "loss/jsd": 0.0, "loss/logits": 0.17981126178056, "step": 27190 }, { "epoch": 0.68, "grad_norm": 28.25, "grad_norm_var": 8.919205729166666, "learning_rate": 0.0001, "loss": 7.2694, "loss/crossentropy": 2.037150639295578, "loss/hidden": 3.262109375, "loss/jsd": 0.0, "loss/logits": 0.17851810567080975, "step": 27200 }, { "epoch": 0.68025, "grad_norm": 31.875, "grad_norm_var": 2.218489583333333, "learning_rate": 0.0001, "loss": 7.2526, "loss/crossentropy": 1.9110659010708333, "loss/hidden": 3.5203125, "loss/jsd": 0.0, "loss/logits": 0.19786193277686834, "step": 27210 }, { "epoch": 0.6805, "grad_norm": 32.0, "grad_norm_var": 1.8385416666666667, "learning_rate": 0.0001, "loss": 7.2515, "loss/crossentropy": 2.2368867814540865, "loss/hidden": 3.2171875, "loss/jsd": 0.0, "loss/logits": 0.1798218859359622, "step": 27220 }, { "epoch": 0.68075, "grad_norm": 33.0, "grad_norm_var": 3.54140625, "learning_rate": 0.0001, "loss": 7.2991, "loss/crossentropy": 2.1260806649923323, "loss/hidden": 3.43359375, "loss/jsd": 0.0, "loss/logits": 0.20750290621072054, "step": 27230 }, { "epoch": 0.681, "grad_norm": 29.875, "grad_norm_var": 3.755989583333333, "learning_rate": 0.0001, "loss": 7.3501, "loss/crossentropy": 2.031808337569237, "loss/hidden": 3.378125, "loss/jsd": 0.0, "loss/logits": 0.18845813032239675, "step": 27240 }, { "epoch": 0.68125, "grad_norm": 31.375, "grad_norm_var": 3.9942057291666666, "learning_rate": 0.0001, "loss": 7.2698, "loss/crossentropy": 2.1050592973828315, "loss/hidden": 3.322265625, "loss/jsd": 0.0, "loss/logits": 0.18391012214124203, "step": 27250 }, { "epoch": 0.6815, "grad_norm": 30.25, "grad_norm_var": 2.36640625, "learning_rate": 0.0001, "loss": 7.3684, "loss/crossentropy": 2.1474289670586586, "loss/hidden": 3.36796875, "loss/jsd": 0.0, "loss/logits": 0.1923911923542619, "step": 27260 }, { "epoch": 0.68175, "grad_norm": 31.25, "grad_norm_var": 1.9858723958333333, "learning_rate": 0.0001, "loss": 7.2966, "loss/crossentropy": 2.0553861789405348, "loss/hidden": 3.321484375, "loss/jsd": 0.0, "loss/logits": 0.17631796486675738, "step": 27270 }, { "epoch": 0.682, "grad_norm": 30.375, "grad_norm_var": 2.138541666666667, "learning_rate": 0.0001, "loss": 7.27, "loss/crossentropy": 1.9470392048358918, "loss/hidden": 3.433203125, "loss/jsd": 0.0, "loss/logits": 0.1823154903948307, "step": 27280 }, { "epoch": 0.68225, "grad_norm": 29.375, "grad_norm_var": 6.4525390625, "learning_rate": 0.0001, "loss": 7.3825, "loss/crossentropy": 2.1857406944036484, "loss/hidden": 3.442578125, "loss/jsd": 0.0, "loss/logits": 0.19291127175092698, "step": 27290 }, { "epoch": 0.6825, "grad_norm": 31.0, "grad_norm_var": 2.48515625, "learning_rate": 0.0001, "loss": 7.3561, "loss/crossentropy": 2.227454760670662, "loss/hidden": 3.362109375, "loss/jsd": 0.0, "loss/logits": 0.18692610040307045, "step": 27300 }, { "epoch": 0.68275, "grad_norm": 30.25, "grad_norm_var": 1.13515625, "learning_rate": 0.0001, "loss": 7.2776, "loss/crossentropy": 1.9948305085301399, "loss/hidden": 3.390625, "loss/jsd": 0.0, "loss/logits": 0.1988155659288168, "step": 27310 }, { "epoch": 0.683, "grad_norm": 28.875, "grad_norm_var": 1.8541015625, "learning_rate": 0.0001, "loss": 7.2481, "loss/crossentropy": 2.1666594982147216, "loss/hidden": 3.326953125, "loss/jsd": 0.0, "loss/logits": 0.18878179658204317, "step": 27320 }, { "epoch": 0.68325, "grad_norm": 29.875, "grad_norm_var": 2.687239583333333, "learning_rate": 0.0001, "loss": 7.3854, "loss/crossentropy": 2.1071100682020187, "loss/hidden": 3.30625, "loss/jsd": 0.0, "loss/logits": 0.17986488938331605, "step": 27330 }, { "epoch": 0.6835, "grad_norm": 31.375, "grad_norm_var": 3.3889973958333335, "learning_rate": 0.0001, "loss": 7.235, "loss/crossentropy": 2.029652649909258, "loss/hidden": 3.409765625, "loss/jsd": 0.0, "loss/logits": 0.1780470222234726, "step": 27340 }, { "epoch": 0.68375, "grad_norm": 28.875, "grad_norm_var": 2.155143229166667, "learning_rate": 0.0001, "loss": 7.3103, "loss/crossentropy": 1.9602101355791093, "loss/hidden": 3.35859375, "loss/jsd": 0.0, "loss/logits": 0.18400138095021248, "step": 27350 }, { "epoch": 0.684, "grad_norm": 29.375, "grad_norm_var": 0.45598958333333334, "learning_rate": 0.0001, "loss": 7.213, "loss/crossentropy": 2.106926290690899, "loss/hidden": 3.305078125, "loss/jsd": 0.0, "loss/logits": 0.17419682666659356, "step": 27360 }, { "epoch": 0.68425, "grad_norm": 29.75, "grad_norm_var": 0.44973958333333336, "learning_rate": 0.0001, "loss": 7.2879, "loss/crossentropy": 2.237940040230751, "loss/hidden": 3.3515625, "loss/jsd": 0.0, "loss/logits": 0.1868164110928774, "step": 27370 }, { "epoch": 0.6845, "grad_norm": 36.25, "grad_norm_var": 2.9947916666666665, "learning_rate": 0.0001, "loss": 7.4911, "loss/crossentropy": 2.2364405103027822, "loss/hidden": 3.362109375, "loss/jsd": 0.0, "loss/logits": 0.1962603386491537, "step": 27380 }, { "epoch": 0.68475, "grad_norm": 32.75, "grad_norm_var": 7.664583333333334, "learning_rate": 0.0001, "loss": 7.3546, "loss/crossentropy": 2.125661809742451, "loss/hidden": 3.373046875, "loss/jsd": 0.0, "loss/logits": 0.17499309908598662, "step": 27390 }, { "epoch": 0.685, "grad_norm": 29.125, "grad_norm_var": 7.216666666666667, "learning_rate": 0.0001, "loss": 7.2694, "loss/crossentropy": 2.17802165299654, "loss/hidden": 3.26953125, "loss/jsd": 0.0, "loss/logits": 0.18032563328742982, "step": 27400 }, { "epoch": 0.68525, "grad_norm": 28.625, "grad_norm_var": 2.5254557291666666, "learning_rate": 0.0001, "loss": 7.2098, "loss/crossentropy": 2.0895639203488825, "loss/hidden": 3.36875, "loss/jsd": 0.0, "loss/logits": 0.17885948363691567, "step": 27410 }, { "epoch": 0.6855, "grad_norm": 31.875, "grad_norm_var": 3.098893229166667, "learning_rate": 0.0001, "loss": 7.2392, "loss/crossentropy": 2.0427750945091248, "loss/hidden": 3.389453125, "loss/jsd": 0.0, "loss/logits": 0.184170157648623, "step": 27420 }, { "epoch": 0.68575, "grad_norm": 31.125, "grad_norm_var": 1.5853515625, "learning_rate": 0.0001, "loss": 7.4218, "loss/crossentropy": 2.2016945309937, "loss/hidden": 3.275390625, "loss/jsd": 0.0, "loss/logits": 0.1827758725732565, "step": 27430 }, { "epoch": 0.686, "grad_norm": 33.25, "grad_norm_var": 1.7332682291666666, "learning_rate": 0.0001, "loss": 7.2304, "loss/crossentropy": 1.969399856030941, "loss/hidden": 3.338671875, "loss/jsd": 0.0, "loss/logits": 0.17159626744687556, "step": 27440 }, { "epoch": 0.68625, "grad_norm": 34.5, "grad_norm_var": 22.256184895833332, "learning_rate": 0.0001, "loss": 7.2665, "loss/crossentropy": 2.0050867199897766, "loss/hidden": 3.39921875, "loss/jsd": 0.0, "loss/logits": 0.18022035136818887, "step": 27450 }, { "epoch": 0.6865, "grad_norm": 27.625, "grad_norm_var": 22.336458333333333, "learning_rate": 0.0001, "loss": 7.2446, "loss/crossentropy": 1.9901010252535343, "loss/hidden": 3.275390625, "loss/jsd": 0.0, "loss/logits": 0.17804777259007096, "step": 27460 }, { "epoch": 0.68675, "grad_norm": 28.125, "grad_norm_var": 12.424739583333333, "learning_rate": 0.0001, "loss": 7.2441, "loss/crossentropy": 2.031005633622408, "loss/hidden": 3.290234375, "loss/jsd": 0.0, "loss/logits": 0.168888134136796, "step": 27470 }, { "epoch": 0.687, "grad_norm": 29.0, "grad_norm_var": 0.8817057291666667, "learning_rate": 0.0001, "loss": 7.2623, "loss/crossentropy": 2.1447826243937014, "loss/hidden": 3.35859375, "loss/jsd": 0.0, "loss/logits": 0.18581478726118802, "step": 27480 }, { "epoch": 0.68725, "grad_norm": 31.25, "grad_norm_var": 1.9895833333333333, "learning_rate": 0.0001, "loss": 7.3027, "loss/crossentropy": 2.2375788524746896, "loss/hidden": 3.38828125, "loss/jsd": 0.0, "loss/logits": 0.19884238932281734, "step": 27490 }, { "epoch": 0.6875, "grad_norm": 30.875, "grad_norm_var": 10.562239583333334, "learning_rate": 0.0001, "loss": 7.3156, "loss/crossentropy": 1.9248571954667568, "loss/hidden": 3.317578125, "loss/jsd": 0.0, "loss/logits": 0.16993207540363073, "step": 27500 }, { "epoch": 0.68775, "grad_norm": 29.125, "grad_norm_var": 6.201041666666667, "learning_rate": 0.0001, "loss": 7.1426, "loss/crossentropy": 2.1742107778787614, "loss/hidden": 3.397265625, "loss/jsd": 0.0, "loss/logits": 0.19332415759563445, "step": 27510 }, { "epoch": 0.688, "grad_norm": 28.625, "grad_norm_var": 2.443489583333333, "learning_rate": 0.0001, "loss": 7.1899, "loss/crossentropy": 2.064833169430494, "loss/hidden": 3.226171875, "loss/jsd": 0.0, "loss/logits": 0.1686219139955938, "step": 27520 }, { "epoch": 0.68825, "grad_norm": 29.875, "grad_norm_var": 2.308333333333333, "learning_rate": 0.0001, "loss": 7.2861, "loss/crossentropy": 2.2087809190154077, "loss/hidden": 3.320703125, "loss/jsd": 0.0, "loss/logits": 0.18179803155362606, "step": 27530 }, { "epoch": 0.6885, "grad_norm": 29.5, "grad_norm_var": 1.3559895833333333, "learning_rate": 0.0001, "loss": 7.2698, "loss/crossentropy": 2.1848205491900443, "loss/hidden": 3.308203125, "loss/jsd": 0.0, "loss/logits": 0.18062485102564096, "step": 27540 }, { "epoch": 0.68875, "grad_norm": 28.375, "grad_norm_var": 2.5254557291666666, "learning_rate": 0.0001, "loss": 7.1884, "loss/crossentropy": 2.10894877538085, "loss/hidden": 3.278515625, "loss/jsd": 0.0, "loss/logits": 0.18315895553678274, "step": 27550 }, { "epoch": 0.689, "grad_norm": 30.375, "grad_norm_var": 1.7504557291666667, "learning_rate": 0.0001, "loss": 7.2776, "loss/crossentropy": 1.9970835141837597, "loss/hidden": 3.33125, "loss/jsd": 0.0, "loss/logits": 0.1800586089491844, "step": 27560 }, { "epoch": 0.68925, "grad_norm": 63.0, "grad_norm_var": 446.81223958333334, "learning_rate": 0.0001, "loss": 7.2313, "loss/crossentropy": 2.108223394304514, "loss/hidden": 3.310546875, "loss/jsd": 0.0, "loss/logits": 0.18529674978926777, "step": 27570 }, { "epoch": 0.6895, "grad_norm": 27.75, "grad_norm_var": 229.2228515625, "learning_rate": 0.0001, "loss": 7.311, "loss/crossentropy": 2.140768423676491, "loss/hidden": 3.317578125, "loss/jsd": 0.0, "loss/logits": 0.18569578658789396, "step": 27580 }, { "epoch": 0.68975, "grad_norm": 30.0, "grad_norm_var": 141.71608072916666, "learning_rate": 0.0001, "loss": 7.1009, "loss/crossentropy": 2.080308865010738, "loss/hidden": 3.379296875, "loss/jsd": 0.0, "loss/logits": 0.17526689525693656, "step": 27590 }, { "epoch": 0.69, "grad_norm": 47.5, "grad_norm_var": 127.42649739583334, "learning_rate": 0.0001, "loss": 7.1538, "loss/crossentropy": 1.9624833583831787, "loss/hidden": 3.242578125, "loss/jsd": 0.0, "loss/logits": 0.17015852518379687, "step": 27600 }, { "epoch": 0.69025, "grad_norm": 28.0, "grad_norm_var": 107.753125, "learning_rate": 0.0001, "loss": 7.2956, "loss/crossentropy": 2.0645004503428934, "loss/hidden": 3.350390625, "loss/jsd": 0.0, "loss/logits": 0.19667823929339648, "step": 27610 }, { "epoch": 0.6905, "grad_norm": 30.5, "grad_norm_var": 73.18723958333334, "learning_rate": 0.0001, "loss": 7.2826, "loss/crossentropy": 2.18245909512043, "loss/hidden": 3.3125, "loss/jsd": 0.0, "loss/logits": 0.1764837397262454, "step": 27620 }, { "epoch": 0.69075, "grad_norm": 54.5, "grad_norm_var": 85.95774739583334, "learning_rate": 0.0001, "loss": 7.1622, "loss/crossentropy": 2.022562848776579, "loss/hidden": 3.396484375, "loss/jsd": 0.0, "loss/logits": 0.17506722770631314, "step": 27630 }, { "epoch": 0.691, "grad_norm": 29.25, "grad_norm_var": 62.54055989583333, "learning_rate": 0.0001, "loss": 7.3102, "loss/crossentropy": 2.039566272497177, "loss/hidden": 3.392578125, "loss/jsd": 0.0, "loss/logits": 0.18705343939363955, "step": 27640 }, { "epoch": 0.69125, "grad_norm": 31.625, "grad_norm_var": 86.08639322916666, "learning_rate": 0.0001, "loss": 7.1129, "loss/crossentropy": 2.006290066242218, "loss/hidden": 3.28125, "loss/jsd": 0.0, "loss/logits": 0.17148794345557689, "step": 27650 }, { "epoch": 0.6915, "grad_norm": 31.875, "grad_norm_var": 3.344204167188264e+18, "learning_rate": 0.0001, "loss": 7.1452, "loss/crossentropy": 2.08501241505146, "loss/hidden": 3.43046875, "loss/jsd": 0.0, "loss/logits": 0.1790543705224991, "step": 27660 }, { "epoch": 0.69175, "grad_norm": 30.25, "grad_norm_var": 75.49479166666667, "learning_rate": 0.0001, "loss": 7.226, "loss/crossentropy": 2.061854050308466, "loss/hidden": 3.241015625, "loss/jsd": 0.0, "loss/logits": 0.18336585741490125, "step": 27670 }, { "epoch": 0.692, "grad_norm": 44.75, "grad_norm_var": 54.40390625, "learning_rate": 0.0001, "loss": 7.192, "loss/crossentropy": 2.12304325401783, "loss/hidden": 3.332421875, "loss/jsd": 0.0, "loss/logits": 0.19009512551128865, "step": 27680 }, { "epoch": 0.69225, "grad_norm": 29.625, "grad_norm_var": 43.609309895833334, "learning_rate": 0.0001, "loss": 7.2723, "loss/crossentropy": 2.082204009592533, "loss/hidden": 3.34609375, "loss/jsd": 0.0, "loss/logits": 0.18473013881593942, "step": 27690 }, { "epoch": 0.6925, "grad_norm": 27.125, "grad_norm_var": 34.3587890625, "learning_rate": 0.0001, "loss": 7.2277, "loss/crossentropy": 2.07097297757864, "loss/hidden": 3.36484375, "loss/jsd": 0.0, "loss/logits": 0.1826794480904937, "step": 27700 }, { "epoch": 0.69275, "grad_norm": 40.0, "grad_norm_var": 27.279622395833332, "learning_rate": 0.0001, "loss": 7.2755, "loss/crossentropy": 2.029601737856865, "loss/hidden": 3.4109375, "loss/jsd": 0.0, "loss/logits": 0.1799439148977399, "step": 27710 }, { "epoch": 0.693, "grad_norm": 39.25, "grad_norm_var": 17.6291015625, "learning_rate": 0.0001, "loss": 7.2338, "loss/crossentropy": 2.0642464771866798, "loss/hidden": 3.241015625, "loss/jsd": 0.0, "loss/logits": 0.1682391857728362, "step": 27720 }, { "epoch": 0.69325, "grad_norm": 32.25, "grad_norm_var": 17.788997395833334, "learning_rate": 0.0001, "loss": 7.1999, "loss/crossentropy": 1.9560820698738097, "loss/hidden": 3.362109375, "loss/jsd": 0.0, "loss/logits": 0.18492446821182967, "step": 27730 }, { "epoch": 0.6935, "grad_norm": 29.375, "grad_norm_var": 19.187239583333334, "learning_rate": 0.0001, "loss": 7.2068, "loss/crossentropy": 2.151790848374367, "loss/hidden": 3.37109375, "loss/jsd": 0.0, "loss/logits": 0.18812405075877905, "step": 27740 }, { "epoch": 0.69375, "grad_norm": 33.25, "grad_norm_var": 25.820572916666666, "learning_rate": 0.0001, "loss": 7.2683, "loss/crossentropy": 2.027320671826601, "loss/hidden": 3.394140625, "loss/jsd": 0.0, "loss/logits": 0.1938678870908916, "step": 27750 }, { "epoch": 0.694, "grad_norm": 35.75, "grad_norm_var": 13.291080729166667, "learning_rate": 0.0001, "loss": 7.2137, "loss/crossentropy": 2.222668908536434, "loss/hidden": 3.212890625, "loss/jsd": 0.0, "loss/logits": 0.1686727624386549, "step": 27760 }, { "epoch": 0.69425, "grad_norm": 33.5, "grad_norm_var": 17.365559895833332, "learning_rate": 0.0001, "loss": 7.2981, "loss/crossentropy": 2.0196828715503217, "loss/hidden": 3.327734375, "loss/jsd": 0.0, "loss/logits": 0.17830958236008881, "step": 27770 }, { "epoch": 0.6945, "grad_norm": 31.25, "grad_norm_var": 13.575, "learning_rate": 0.0001, "loss": 7.2654, "loss/crossentropy": 2.0276674374938013, "loss/hidden": 3.34296875, "loss/jsd": 0.0, "loss/logits": 0.1810338616371155, "step": 27780 }, { "epoch": 0.69475, "grad_norm": 38.5, "grad_norm_var": 1.0995116099021482e+18, "learning_rate": 0.0001, "loss": 7.1378, "loss/crossentropy": 1.9873436450958253, "loss/hidden": 3.31953125, "loss/jsd": 0.0, "loss/logits": 0.1692363377660513, "step": 27790 }, { "epoch": 0.695, "grad_norm": 30.25, "grad_norm_var": 19.480989583333333, "learning_rate": 0.0001, "loss": 7.1259, "loss/crossentropy": 2.0556870639324187, "loss/hidden": 3.336328125, "loss/jsd": 0.0, "loss/logits": 0.1810257313773036, "step": 27800 }, { "epoch": 0.69525, "grad_norm": 31.375, "grad_norm_var": 18.948372395833335, "learning_rate": 0.0001, "loss": 7.2655, "loss/crossentropy": 2.047024370729923, "loss/hidden": 3.299609375, "loss/jsd": 0.0, "loss/logits": 0.176701095700264, "step": 27810 }, { "epoch": 0.6955, "grad_norm": 28.375, "grad_norm_var": 12.296875, "learning_rate": 0.0001, "loss": 7.2012, "loss/crossentropy": 1.9956993229687214, "loss/hidden": 3.25078125, "loss/jsd": 0.0, "loss/logits": 0.1679278828203678, "step": 27820 }, { "epoch": 0.69575, "grad_norm": 29.875, "grad_norm_var": 10.91015625, "learning_rate": 0.0001, "loss": 7.1434, "loss/crossentropy": 1.9673665076494218, "loss/hidden": 3.403125, "loss/jsd": 0.0, "loss/logits": 0.1817054906859994, "step": 27830 }, { "epoch": 0.696, "grad_norm": 27.25, "grad_norm_var": 65.115625, "learning_rate": 0.0001, "loss": 7.1678, "loss/crossentropy": 2.110173484683037, "loss/hidden": 3.299609375, "loss/jsd": 0.0, "loss/logits": 0.17987647745758295, "step": 27840 }, { "epoch": 0.69625, "grad_norm": 27.0, "grad_norm_var": 80.79375, "learning_rate": 0.0001, "loss": 7.1452, "loss/crossentropy": 2.066749632358551, "loss/hidden": 3.41484375, "loss/jsd": 0.0, "loss/logits": 0.18724118024110795, "step": 27850 }, { "epoch": 0.6965, "grad_norm": 27.625, "grad_norm_var": 37.25182291666667, "learning_rate": 0.0001, "loss": 7.1831, "loss/crossentropy": 1.8799223847687245, "loss/hidden": 3.3375, "loss/jsd": 0.0, "loss/logits": 0.1720001684501767, "step": 27860 }, { "epoch": 0.69675, "grad_norm": 31.875, "grad_norm_var": 6.83515625, "learning_rate": 0.0001, "loss": 7.2257, "loss/crossentropy": 1.984929259866476, "loss/hidden": 3.315234375, "loss/jsd": 0.0, "loss/logits": 0.18079593311995268, "step": 27870 }, { "epoch": 0.697, "grad_norm": 28.375, "grad_norm_var": 12.743489583333334, "learning_rate": 0.0001, "loss": 7.1256, "loss/crossentropy": 2.1968638002872467, "loss/hidden": 3.26328125, "loss/jsd": 0.0, "loss/logits": 0.17731832768768072, "step": 27880 }, { "epoch": 0.69725, "grad_norm": 29.0, "grad_norm_var": 9.189583333333333, "learning_rate": 0.0001, "loss": 7.181, "loss/crossentropy": 1.9869700893759727, "loss/hidden": 3.27734375, "loss/jsd": 0.0, "loss/logits": 0.18951656930148603, "step": 27890 }, { "epoch": 0.6975, "grad_norm": 29.5, "grad_norm_var": 12.85390625, "learning_rate": 0.0001, "loss": 7.2834, "loss/crossentropy": 2.1294341668486596, "loss/hidden": 3.38359375, "loss/jsd": 0.0, "loss/logits": 0.18512535598129035, "step": 27900 }, { "epoch": 0.69775, "grad_norm": 29.625, "grad_norm_var": 6.847916666666666, "learning_rate": 0.0001, "loss": 7.175, "loss/crossentropy": 2.1979243993759154, "loss/hidden": 3.401953125, "loss/jsd": 0.0, "loss/logits": 0.2182347685098648, "step": 27910 }, { "epoch": 0.698, "grad_norm": 29.0, "grad_norm_var": 8.465625, "learning_rate": 0.0001, "loss": 7.2304, "loss/crossentropy": 1.9434294357895852, "loss/hidden": 3.408984375, "loss/jsd": 0.0, "loss/logits": 0.1738783059641719, "step": 27920 }, { "epoch": 0.69825, "grad_norm": 30.625, "grad_norm_var": 2.443489583333333, "learning_rate": 0.0001, "loss": 7.1309, "loss/crossentropy": 1.9772110790014268, "loss/hidden": 3.26328125, "loss/jsd": 0.0, "loss/logits": 0.16446346305310727, "step": 27930 }, { "epoch": 0.6985, "grad_norm": 31.625, "grad_norm_var": 7.475, "learning_rate": 0.0001, "loss": 7.2323, "loss/crossentropy": 2.046364203095436, "loss/hidden": 3.24453125, "loss/jsd": 0.0, "loss/logits": 0.16903265602886677, "step": 27940 }, { "epoch": 0.69875, "grad_norm": 29.5, "grad_norm_var": 4.887434895833334, "learning_rate": 0.0001, "loss": 7.3053, "loss/crossentropy": 2.240569099038839, "loss/hidden": 3.337890625, "loss/jsd": 0.0, "loss/logits": 0.18274808302521706, "step": 27950 }, { "epoch": 0.699, "grad_norm": 34.0, "grad_norm_var": 7.443684895833333, "learning_rate": 0.0001, "loss": 7.3101, "loss/crossentropy": 2.044392989575863, "loss/hidden": 3.4140625, "loss/jsd": 0.0, "loss/logits": 0.18658852139487864, "step": 27960 }, { "epoch": 0.69925, "grad_norm": 31.0, "grad_norm_var": 9.6166015625, "learning_rate": 0.0001, "loss": 7.359, "loss/crossentropy": 2.178907059133053, "loss/hidden": 3.369921875, "loss/jsd": 0.0, "loss/logits": 0.1918690962716937, "step": 27970 }, { "epoch": 0.6995, "grad_norm": 30.875, "grad_norm_var": 6.7806640625, "learning_rate": 0.0001, "loss": 7.3059, "loss/crossentropy": 2.07792577072978, "loss/hidden": 3.40703125, "loss/jsd": 0.0, "loss/logits": 0.1873043139465153, "step": 27980 }, { "epoch": 0.69975, "grad_norm": 29.75, "grad_norm_var": 5.643489583333333, "learning_rate": 0.0001, "loss": 7.3217, "loss/crossentropy": 1.9168295338749886, "loss/hidden": 3.4546875, "loss/jsd": 0.0, "loss/logits": 0.18331131394952535, "step": 27990 }, { "epoch": 0.7, "grad_norm": 30.625, "grad_norm_var": 4.960416666666666, "learning_rate": 0.0001, "loss": 7.3017, "loss/crossentropy": 1.9929687798023223, "loss/hidden": 3.482421875, "loss/jsd": 0.0, "loss/logits": 0.21256182622164488, "step": 28000 }, { "epoch": 0.70025, "grad_norm": 28.25, "grad_norm_var": 227.75625, "learning_rate": 0.0001, "loss": 7.2574, "loss/crossentropy": 2.0593857660889627, "loss/hidden": 3.346484375, "loss/jsd": 0.0, "loss/logits": 0.17820099778473378, "step": 28010 }, { "epoch": 0.7005, "grad_norm": 31.25, "grad_norm_var": 224.015625, "learning_rate": 0.0001, "loss": 7.412, "loss/crossentropy": 2.174033749103546, "loss/hidden": 3.301171875, "loss/jsd": 0.0, "loss/logits": 0.1898373905569315, "step": 28020 }, { "epoch": 0.70075, "grad_norm": 28.375, "grad_norm_var": 4.4181640625, "learning_rate": 0.0001, "loss": 7.1913, "loss/crossentropy": 2.0483900040388106, "loss/hidden": 3.38125, "loss/jsd": 0.0, "loss/logits": 0.17332715671509505, "step": 28030 }, { "epoch": 0.701, "grad_norm": 29.5, "grad_norm_var": 5.629166666666666, "learning_rate": 0.0001, "loss": 7.2349, "loss/crossentropy": 2.177481460571289, "loss/hidden": 3.284375, "loss/jsd": 0.0, "loss/logits": 0.1783738609403372, "step": 28040 }, { "epoch": 0.70125, "grad_norm": 31.25, "grad_norm_var": 2.4809895833333333, "learning_rate": 0.0001, "loss": 7.3133, "loss/crossentropy": 2.099740183353424, "loss/hidden": 3.358984375, "loss/jsd": 0.0, "loss/logits": 0.2023984882980585, "step": 28050 }, { "epoch": 0.7015, "grad_norm": 29.375, "grad_norm_var": 1.1051432291666667, "learning_rate": 0.0001, "loss": 7.2455, "loss/crossentropy": 1.9891198098659515, "loss/hidden": 3.476953125, "loss/jsd": 0.0, "loss/logits": 0.1935951853170991, "step": 28060 }, { "epoch": 0.70175, "grad_norm": 30.5, "grad_norm_var": 23.0619140625, "learning_rate": 0.0001, "loss": 7.2426, "loss/crossentropy": 1.9753205917775631, "loss/hidden": 3.33046875, "loss/jsd": 0.0, "loss/logits": 0.17461898345500232, "step": 28070 }, { "epoch": 0.702, "grad_norm": 28.375, "grad_norm_var": 25.145768229166666, "learning_rate": 0.0001, "loss": 7.2736, "loss/crossentropy": 2.0158716015517713, "loss/hidden": 3.4203125, "loss/jsd": 0.0, "loss/logits": 0.19325515236705543, "step": 28080 }, { "epoch": 0.70225, "grad_norm": 30.25, "grad_norm_var": 3.1134765625, "learning_rate": 0.0001, "loss": 7.3422, "loss/crossentropy": 2.217750224471092, "loss/hidden": 3.346875, "loss/jsd": 0.0, "loss/logits": 0.18919748738408088, "step": 28090 }, { "epoch": 0.7025, "grad_norm": 30.0, "grad_norm_var": 4.51640625, "learning_rate": 0.0001, "loss": 7.3656, "loss/crossentropy": 2.0768872730433943, "loss/hidden": 3.348828125, "loss/jsd": 0.0, "loss/logits": 0.17947383699938654, "step": 28100 }, { "epoch": 0.70275, "grad_norm": 29.25, "grad_norm_var": 3.4052083333333334, "learning_rate": 0.0001, "loss": 7.3558, "loss/crossentropy": 2.115848197042942, "loss/hidden": 3.376171875, "loss/jsd": 0.0, "loss/logits": 0.1815752826165408, "step": 28110 }, { "epoch": 0.703, "grad_norm": 29.5, "grad_norm_var": 2.878125, "learning_rate": 0.0001, "loss": 7.2471, "loss/crossentropy": 2.0716689586639405, "loss/hidden": 3.41328125, "loss/jsd": 0.0, "loss/logits": 0.19040394499897956, "step": 28120 }, { "epoch": 0.70325, "grad_norm": 32.5, "grad_norm_var": 2.8160807291666665, "learning_rate": 0.0001, "loss": 7.2455, "loss/crossentropy": 2.171695147454739, "loss/hidden": 3.3015625, "loss/jsd": 0.0, "loss/logits": 0.186448429338634, "step": 28130 }, { "epoch": 0.7035, "grad_norm": 30.875, "grad_norm_var": 6.870833333333334, "learning_rate": 0.0001, "loss": 7.3198, "loss/crossentropy": 2.2176968052983286, "loss/hidden": 3.33515625, "loss/jsd": 0.0, "loss/logits": 0.18737617712467908, "step": 28140 }, { "epoch": 0.70375, "grad_norm": 31.5, "grad_norm_var": 7.795768229166667, "learning_rate": 0.0001, "loss": 7.3125, "loss/crossentropy": 2.0401076070964335, "loss/hidden": 3.305859375, "loss/jsd": 0.0, "loss/logits": 0.1749078031629324, "step": 28150 }, { "epoch": 0.704, "grad_norm": 34.75, "grad_norm_var": 5.884375, "learning_rate": 0.0001, "loss": 7.3385, "loss/crossentropy": 2.0140421822667123, "loss/hidden": 3.33046875, "loss/jsd": 0.0, "loss/logits": 0.17568598408252, "step": 28160 }, { "epoch": 0.70425, "grad_norm": 33.25, "grad_norm_var": 631.7122395833334, "learning_rate": 0.0001, "loss": 7.2722, "loss/crossentropy": 2.23368354216218, "loss/hidden": 3.29140625, "loss/jsd": 0.0, "loss/logits": 0.19659436494112015, "step": 28170 }, { "epoch": 0.7045, "grad_norm": 29.5, "grad_norm_var": 5.282747395833334, "learning_rate": 0.0001, "loss": 7.2662, "loss/crossentropy": 1.9696129187941551, "loss/hidden": 3.271875, "loss/jsd": 0.0, "loss/logits": 0.1738910754211247, "step": 28180 }, { "epoch": 0.70475, "grad_norm": 28.25, "grad_norm_var": 15.142122395833333, "learning_rate": 0.0001, "loss": 7.2909, "loss/crossentropy": 2.041120965778828, "loss/hidden": 3.327734375, "loss/jsd": 0.0, "loss/logits": 0.18105307575315238, "step": 28190 }, { "epoch": 0.705, "grad_norm": 29.0, "grad_norm_var": 1.99765625, "learning_rate": 0.0001, "loss": 7.2079, "loss/crossentropy": 2.110129737854004, "loss/hidden": 3.36328125, "loss/jsd": 0.0, "loss/logits": 0.18080106116831302, "step": 28200 }, { "epoch": 0.70525, "grad_norm": 29.25, "grad_norm_var": 1.58515625, "learning_rate": 0.0001, "loss": 7.3249, "loss/crossentropy": 2.148154190182686, "loss/hidden": 3.31796875, "loss/jsd": 0.0, "loss/logits": 0.18392155058681964, "step": 28210 }, { "epoch": 0.7055, "grad_norm": 29.375, "grad_norm_var": 1.0155598958333334, "learning_rate": 0.0001, "loss": 7.3179, "loss/crossentropy": 2.190532484650612, "loss/hidden": 3.311328125, "loss/jsd": 0.0, "loss/logits": 0.1767113889567554, "step": 28220 }, { "epoch": 0.70575, "grad_norm": 29.0, "grad_norm_var": 3.0395182291666667, "learning_rate": 0.0001, "loss": 7.2009, "loss/crossentropy": 2.175555232167244, "loss/hidden": 3.376171875, "loss/jsd": 0.0, "loss/logits": 0.20121710691601039, "step": 28230 }, { "epoch": 0.706, "grad_norm": 28.25, "grad_norm_var": 2.7643229166666665, "learning_rate": 0.0001, "loss": 7.265, "loss/crossentropy": 2.1481928557157515, "loss/hidden": 3.24453125, "loss/jsd": 0.0, "loss/logits": 0.17819216307252644, "step": 28240 }, { "epoch": 0.70625, "grad_norm": 31.0, "grad_norm_var": 1.1718098958333334, "learning_rate": 0.0001, "loss": 7.2569, "loss/crossentropy": 1.997367661446333, "loss/hidden": 3.343359375, "loss/jsd": 0.0, "loss/logits": 0.18763066958636046, "step": 28250 }, { "epoch": 0.7065, "grad_norm": 29.125, "grad_norm_var": 1.9580729166666666, "learning_rate": 0.0001, "loss": 7.2066, "loss/crossentropy": 2.156166338920593, "loss/hidden": 3.292578125, "loss/jsd": 0.0, "loss/logits": 0.18162646796554327, "step": 28260 }, { "epoch": 0.70675, "grad_norm": 29.375, "grad_norm_var": 1.5010416666666666, "learning_rate": 0.0001, "loss": 7.315, "loss/crossentropy": 1.9849402651190757, "loss/hidden": 3.35078125, "loss/jsd": 0.0, "loss/logits": 0.18158245990052818, "step": 28270 }, { "epoch": 0.707, "grad_norm": 31.5, "grad_norm_var": 1.209375, "learning_rate": 0.0001, "loss": 7.2722, "loss/crossentropy": 2.0745258808135985, "loss/hidden": 3.318359375, "loss/jsd": 0.0, "loss/logits": 0.17213933765888215, "step": 28280 }, { "epoch": 0.70725, "grad_norm": 30.625, "grad_norm_var": 2.771875, "learning_rate": 0.0001, "loss": 7.2265, "loss/crossentropy": 2.0611407831311226, "loss/hidden": 3.2765625, "loss/jsd": 0.0, "loss/logits": 0.17584825437515975, "step": 28290 }, { "epoch": 0.7075, "grad_norm": 31.75, "grad_norm_var": 2.690625, "learning_rate": 0.0001, "loss": 7.3203, "loss/crossentropy": 2.0343645237386228, "loss/hidden": 3.350390625, "loss/jsd": 0.0, "loss/logits": 0.1779821278527379, "step": 28300 }, { "epoch": 0.70775, "grad_norm": 30.5, "grad_norm_var": 2.173958333333333, "learning_rate": 0.0001, "loss": 7.3906, "loss/crossentropy": 2.023589651286602, "loss/hidden": 3.395703125, "loss/jsd": 0.0, "loss/logits": 0.19405677895992995, "step": 28310 }, { "epoch": 0.708, "grad_norm": 31.75, "grad_norm_var": 2.528059895833333, "learning_rate": 0.0001, "loss": 7.4391, "loss/crossentropy": 2.058233138918877, "loss/hidden": 3.45546875, "loss/jsd": 0.0, "loss/logits": 0.18879729304462672, "step": 28320 }, { "epoch": 0.70825, "grad_norm": 32.5, "grad_norm_var": 3.81015625, "learning_rate": 0.0001, "loss": 7.2291, "loss/crossentropy": 1.9951315492391586, "loss/hidden": 3.30234375, "loss/jsd": 0.0, "loss/logits": 0.1786661896854639, "step": 28330 }, { "epoch": 0.7085, "grad_norm": 28.5, "grad_norm_var": 3.408072916666667, "learning_rate": 0.0001, "loss": 7.2737, "loss/crossentropy": 2.1709944613277914, "loss/hidden": 3.280078125, "loss/jsd": 0.0, "loss/logits": 0.18447048161178828, "step": 28340 }, { "epoch": 0.70875, "grad_norm": 29.75, "grad_norm_var": 2.0014973958333333, "learning_rate": 0.0001, "loss": 7.3261, "loss/crossentropy": 1.9754939682781696, "loss/hidden": 3.368359375, "loss/jsd": 0.0, "loss/logits": 0.1782332186587155, "step": 28350 }, { "epoch": 0.709, "grad_norm": 28.375, "grad_norm_var": 3.0546223958333334, "learning_rate": 0.0001, "loss": 7.3341, "loss/crossentropy": 1.9486119627952576, "loss/hidden": 3.333203125, "loss/jsd": 0.0, "loss/logits": 0.18434599563479423, "step": 28360 }, { "epoch": 0.70925, "grad_norm": 28.375, "grad_norm_var": 3.0936848958333334, "learning_rate": 0.0001, "loss": 7.2676, "loss/crossentropy": 2.011347506940365, "loss/hidden": 3.31484375, "loss/jsd": 0.0, "loss/logits": 0.17598988981917502, "step": 28370 }, { "epoch": 0.7095, "grad_norm": 31.25, "grad_norm_var": 3.278059895833333, "learning_rate": 0.0001, "loss": 7.2683, "loss/crossentropy": 2.0628366231918336, "loss/hidden": 3.432421875, "loss/jsd": 0.0, "loss/logits": 0.20117868315428494, "step": 28380 }, { "epoch": 0.70975, "grad_norm": 30.25, "grad_norm_var": 1.9744140625, "learning_rate": 0.0001, "loss": 7.3684, "loss/crossentropy": 2.1887825660407545, "loss/hidden": 3.20390625, "loss/jsd": 0.0, "loss/logits": 0.180817243270576, "step": 28390 }, { "epoch": 0.71, "grad_norm": 5838471168.0, "grad_norm_var": 2.1304840768286884e+18, "learning_rate": 0.0001, "loss": 7.2715, "loss/crossentropy": 1.938818733394146, "loss/hidden": 3.350390625, "loss/jsd": 0.0, "loss/logits": 0.18086879644542933, "step": 28400 }, { "epoch": 0.71025, "grad_norm": 33.25, "grad_norm_var": 2.1304840755150323e+18, "learning_rate": 0.0001, "loss": 7.3715, "loss/crossentropy": 1.953948251157999, "loss/hidden": 3.384375, "loss/jsd": 0.0, "loss/logits": 0.17758083064109087, "step": 28410 }, { "epoch": 0.7105, "grad_norm": 31.375, "grad_norm_var": 3.11640625, "learning_rate": 0.0001, "loss": 7.1884, "loss/crossentropy": 2.3171644777059557, "loss/hidden": 3.325, "loss/jsd": 0.0, "loss/logits": 0.19651102535426618, "step": 28420 }, { "epoch": 0.71075, "grad_norm": 32.0, "grad_norm_var": 2.7643229166666665, "learning_rate": 0.0001, "loss": 7.3556, "loss/crossentropy": 2.037036082148552, "loss/hidden": 3.275, "loss/jsd": 0.0, "loss/logits": 0.17107345517724754, "step": 28430 }, { "epoch": 0.711, "grad_norm": 30.75, "grad_norm_var": 1.4561848958333334, "learning_rate": 0.0001, "loss": 7.2494, "loss/crossentropy": 2.127303283661604, "loss/hidden": 3.36796875, "loss/jsd": 0.0, "loss/logits": 0.20090547651052476, "step": 28440 }, { "epoch": 0.71125, "grad_norm": 32.0, "grad_norm_var": 2.6809895833333335, "learning_rate": 0.0001, "loss": 7.3823, "loss/crossentropy": 2.161235421895981, "loss/hidden": 3.307421875, "loss/jsd": 0.0, "loss/logits": 0.1780310433357954, "step": 28450 }, { "epoch": 0.7115, "grad_norm": 28.75, "grad_norm_var": 1.54140625, "learning_rate": 0.0001, "loss": 7.3632, "loss/crossentropy": 2.1571759194135667, "loss/hidden": 3.33828125, "loss/jsd": 0.0, "loss/logits": 0.19603485772386192, "step": 28460 }, { "epoch": 0.71175, "grad_norm": 29.75, "grad_norm_var": 4.364518229166666, "learning_rate": 0.0001, "loss": 7.2657, "loss/crossentropy": 2.1602049231529237, "loss/hidden": 3.325390625, "loss/jsd": 0.0, "loss/logits": 0.18435865715146066, "step": 28470 }, { "epoch": 0.712, "grad_norm": 30.5, "grad_norm_var": 10.72890625, "learning_rate": 0.0001, "loss": 7.3178, "loss/crossentropy": 2.001628914475441, "loss/hidden": 3.3453125, "loss/jsd": 0.0, "loss/logits": 0.1918376425281167, "step": 28480 }, { "epoch": 0.71225, "grad_norm": 67.5, "grad_norm_var": 87.51712239583334, "learning_rate": 0.0001, "loss": 7.2839, "loss/crossentropy": 1.9931135676801204, "loss/hidden": 3.394921875, "loss/jsd": 0.0, "loss/logits": 0.17476971219293774, "step": 28490 }, { "epoch": 0.7125, "grad_norm": 32.25, "grad_norm_var": 96.16399739583333, "learning_rate": 0.0001, "loss": 7.3093, "loss/crossentropy": 1.9668639115989208, "loss/hidden": 3.4109375, "loss/jsd": 0.0, "loss/logits": 0.1912683444097638, "step": 28500 }, { "epoch": 0.71275, "grad_norm": 29.625, "grad_norm_var": 2.3824041782086554e+18, "learning_rate": 0.0001, "loss": 7.3577, "loss/crossentropy": 1.9727089330554008, "loss/hidden": 3.355078125, "loss/jsd": 0.0, "loss/logits": 0.17465871069580316, "step": 28510 }, { "epoch": 0.713, "grad_norm": 28.875, "grad_norm_var": 2.3824041781636367e+18, "learning_rate": 0.0001, "loss": 7.3469, "loss/crossentropy": 2.1261328026652335, "loss/hidden": 3.405859375, "loss/jsd": 0.0, "loss/logits": 0.19634310100227595, "step": 28520 }, { "epoch": 0.71325, "grad_norm": 44.5, "grad_norm_var": 14.9853515625, "learning_rate": 0.0001, "loss": 7.3029, "loss/crossentropy": 2.029768883436918, "loss/hidden": 3.30234375, "loss/jsd": 0.0, "loss/logits": 0.1729470796417445, "step": 28530 }, { "epoch": 0.7135, "grad_norm": 30.625, "grad_norm_var": 15.383072916666666, "learning_rate": 0.0001, "loss": 7.1945, "loss/crossentropy": 2.0496911972761156, "loss/hidden": 3.348828125, "loss/jsd": 0.0, "loss/logits": 0.18508521970361472, "step": 28540 }, { "epoch": 0.71375, "grad_norm": 28.75, "grad_norm_var": 2.428580729166667, "learning_rate": 0.0001, "loss": 7.323, "loss/crossentropy": 2.064000000059605, "loss/hidden": 3.3296875, "loss/jsd": 0.0, "loss/logits": 0.1856430722400546, "step": 28550 }, { "epoch": 0.714, "grad_norm": 32.25, "grad_norm_var": 5.41640625, "learning_rate": 0.0001, "loss": 7.3069, "loss/crossentropy": 2.0117718100547792, "loss/hidden": 3.355078125, "loss/jsd": 0.0, "loss/logits": 0.17515756376087666, "step": 28560 }, { "epoch": 0.71425, "grad_norm": 32.25, "grad_norm_var": 2.8400390625, "learning_rate": 0.0001, "loss": 7.1966, "loss/crossentropy": 1.9726905196905136, "loss/hidden": 3.383984375, "loss/jsd": 0.0, "loss/logits": 0.19007054381072522, "step": 28570 }, { "epoch": 0.7145, "grad_norm": 28.625, "grad_norm_var": 4.1416015625, "learning_rate": 0.0001, "loss": 7.4288, "loss/crossentropy": 2.1557130038738253, "loss/hidden": 3.412109375, "loss/jsd": 0.0, "loss/logits": 0.19311564825475216, "step": 28580 }, { "epoch": 0.71475, "grad_norm": 33.5, "grad_norm_var": 4.809375, "learning_rate": 0.0001, "loss": 7.3429, "loss/crossentropy": 2.097322532534599, "loss/hidden": 3.384765625, "loss/jsd": 0.0, "loss/logits": 0.18367934115231038, "step": 28590 }, { "epoch": 0.715, "grad_norm": 31.75, "grad_norm_var": 3.8895833333333334, "learning_rate": 0.0001, "loss": 7.2557, "loss/crossentropy": 2.1415718257427216, "loss/hidden": 3.3859375, "loss/jsd": 0.0, "loss/logits": 0.18898510355502368, "step": 28600 }, { "epoch": 0.71525, "grad_norm": 31.5, "grad_norm_var": 2.3643229166666666, "learning_rate": 0.0001, "loss": 7.3755, "loss/crossentropy": 2.1518311858177186, "loss/hidden": 3.36796875, "loss/jsd": 0.0, "loss/logits": 0.19082098407670856, "step": 28610 }, { "epoch": 0.7155, "grad_norm": 29.25, "grad_norm_var": 2.198372395833333, "learning_rate": 0.0001, "loss": 7.3797, "loss/crossentropy": 2.2079875111579894, "loss/hidden": 3.384375, "loss/jsd": 0.0, "loss/logits": 0.18495317455381155, "step": 28620 }, { "epoch": 0.71575, "grad_norm": 27.0, "grad_norm_var": 2.0608723958333335, "learning_rate": 0.0001, "loss": 7.2214, "loss/crossentropy": 2.1074557095766067, "loss/hidden": 3.30078125, "loss/jsd": 0.0, "loss/logits": 0.1770407123491168, "step": 28630 }, { "epoch": 0.716, "grad_norm": 30.75, "grad_norm_var": 1.9332682291666667, "learning_rate": 0.0001, "loss": 7.3267, "loss/crossentropy": 2.0740742847323417, "loss/hidden": 3.37265625, "loss/jsd": 0.0, "loss/logits": 0.18051706086844205, "step": 28640 }, { "epoch": 0.71625, "grad_norm": 30.375, "grad_norm_var": 3.254622395833333, "learning_rate": 0.0001, "loss": 7.1893, "loss/crossentropy": 1.9990646712481976, "loss/hidden": 3.221875, "loss/jsd": 0.0, "loss/logits": 0.17936246804893016, "step": 28650 }, { "epoch": 0.7165, "grad_norm": 30.75, "grad_norm_var": 2.57890625, "learning_rate": 0.0001, "loss": 7.2947, "loss/crossentropy": 2.1080400705337525, "loss/hidden": 3.30390625, "loss/jsd": 0.0, "loss/logits": 0.1867066564038396, "step": 28660 }, { "epoch": 0.71675, "grad_norm": 31.75, "grad_norm_var": 1.9247395833333334, "learning_rate": 0.0001, "loss": 7.2661, "loss/crossentropy": 2.074036268889904, "loss/hidden": 3.356640625, "loss/jsd": 0.0, "loss/logits": 0.1867619127035141, "step": 28670 }, { "epoch": 0.717, "grad_norm": 29.125, "grad_norm_var": 2.0434895833333333, "learning_rate": 0.0001, "loss": 7.293, "loss/crossentropy": 2.0304371282458304, "loss/hidden": 3.324609375, "loss/jsd": 0.0, "loss/logits": 0.18383819735608994, "step": 28680 }, { "epoch": 0.71725, "grad_norm": 32.25, "grad_norm_var": 1.9619140625, "learning_rate": 0.0001, "loss": 7.4196, "loss/crossentropy": 2.0870690762996675, "loss/hidden": 3.4125, "loss/jsd": 0.0, "loss/logits": 0.18118756357580423, "step": 28690 }, { "epoch": 0.7175, "grad_norm": 29.375, "grad_norm_var": 3.2504557291666667, "learning_rate": 0.0001, "loss": 7.2668, "loss/crossentropy": 2.1232191398739815, "loss/hidden": 3.351171875, "loss/jsd": 0.0, "loss/logits": 0.17828409411013127, "step": 28700 }, { "epoch": 0.71775, "grad_norm": 31.125, "grad_norm_var": 3.216666666666667, "learning_rate": 0.0001, "loss": 7.3202, "loss/crossentropy": 2.093307775259018, "loss/hidden": 3.308203125, "loss/jsd": 0.0, "loss/logits": 0.17778347730636596, "step": 28710 }, { "epoch": 0.718, "grad_norm": 27.75, "grad_norm_var": 2.728125, "learning_rate": 0.0001, "loss": 7.2286, "loss/crossentropy": 2.086037275195122, "loss/hidden": 3.234375, "loss/jsd": 0.0, "loss/logits": 0.17649652771651744, "step": 28720 }, { "epoch": 0.71825, "grad_norm": 32.25, "grad_norm_var": 2.872330729166667, "learning_rate": 0.0001, "loss": 7.2935, "loss/crossentropy": 2.188430291414261, "loss/hidden": 3.285546875, "loss/jsd": 0.0, "loss/logits": 0.18066751547157764, "step": 28730 }, { "epoch": 0.7185, "grad_norm": 29.5, "grad_norm_var": 2.159375, "learning_rate": 0.0001, "loss": 7.3229, "loss/crossentropy": 2.103739258646965, "loss/hidden": 3.336328125, "loss/jsd": 0.0, "loss/logits": 0.18136450834572315, "step": 28740 }, { "epoch": 0.71875, "grad_norm": 29.5, "grad_norm_var": 3.215559895833333, "learning_rate": 0.0001, "loss": 7.2833, "loss/crossentropy": 1.9982567869126797, "loss/hidden": 3.362890625, "loss/jsd": 0.0, "loss/logits": 0.18330774297937752, "step": 28750 }, { "epoch": 0.719, "grad_norm": 30.25, "grad_norm_var": 3.0747395833333333, "learning_rate": 0.0001, "loss": 7.251, "loss/crossentropy": 2.1402099445462226, "loss/hidden": 3.32734375, "loss/jsd": 0.0, "loss/logits": 0.1817182382568717, "step": 28760 }, { "epoch": 0.71925, "grad_norm": 28.5, "grad_norm_var": 2.667122395833333, "learning_rate": 0.0001, "loss": 7.2284, "loss/crossentropy": 1.96514939814806, "loss/hidden": 3.4609375, "loss/jsd": 0.0, "loss/logits": 0.18674888461828232, "step": 28770 }, { "epoch": 0.7195, "grad_norm": 30.875, "grad_norm_var": 13.762955729166666, "learning_rate": 0.0001, "loss": 7.4611, "loss/crossentropy": 2.109529510140419, "loss/hidden": 3.3953125, "loss/jsd": 0.0, "loss/logits": 0.18532418198883532, "step": 28780 }, { "epoch": 0.71975, "grad_norm": 29.75, "grad_norm_var": 3.018684895833333, "learning_rate": 0.0001, "loss": 7.3621, "loss/crossentropy": 2.164661727845669, "loss/hidden": 3.430078125, "loss/jsd": 0.0, "loss/logits": 0.22424146672710776, "step": 28790 }, { "epoch": 0.72, "grad_norm": 30.875, "grad_norm_var": 1.675, "learning_rate": 0.0001, "loss": 7.3163, "loss/crossentropy": 2.0529872700572014, "loss/hidden": 3.283203125, "loss/jsd": 0.0, "loss/logits": 0.17430850807577372, "step": 28800 }, { "epoch": 0.72025, "grad_norm": 28.75, "grad_norm_var": 3.463997395833333, "learning_rate": 0.0001, "loss": 7.3611, "loss/crossentropy": 2.091229538619518, "loss/hidden": 3.369921875, "loss/jsd": 0.0, "loss/logits": 0.18271805476397276, "step": 28810 }, { "epoch": 0.7205, "grad_norm": 29.75, "grad_norm_var": 2.8306640625, "learning_rate": 0.0001, "loss": 7.3029, "loss/crossentropy": 1.8339010991156102, "loss/hidden": 3.455078125, "loss/jsd": 0.0, "loss/logits": 0.1796142913866788, "step": 28820 }, { "epoch": 0.72075, "grad_norm": 29.5, "grad_norm_var": 2.940559895833333, "learning_rate": 0.0001, "loss": 7.2718, "loss/crossentropy": 2.2519613206386566, "loss/hidden": 3.249609375, "loss/jsd": 0.0, "loss/logits": 0.1793349577113986, "step": 28830 }, { "epoch": 0.721, "grad_norm": 32.5, "grad_norm_var": 3.74140625, "learning_rate": 0.0001, "loss": 7.2763, "loss/crossentropy": 2.0135060526430606, "loss/hidden": 3.3390625, "loss/jsd": 0.0, "loss/logits": 0.1750583214685321, "step": 28840 }, { "epoch": 0.72125, "grad_norm": 28.375, "grad_norm_var": 3.37265625, "learning_rate": 0.0001, "loss": 7.328, "loss/crossentropy": 2.1612493455410005, "loss/hidden": 3.40625, "loss/jsd": 0.0, "loss/logits": 0.1920415310189128, "step": 28850 }, { "epoch": 0.7215, "grad_norm": 30.5, "grad_norm_var": 1.76640625, "learning_rate": 0.0001, "loss": 7.3347, "loss/crossentropy": 2.20034881234169, "loss/hidden": 3.253515625, "loss/jsd": 0.0, "loss/logits": 0.18493964169174432, "step": 28860 }, { "epoch": 0.72175, "grad_norm": 30.25, "grad_norm_var": 0.9905598958333334, "learning_rate": 0.0001, "loss": 7.2071, "loss/crossentropy": 2.147878049314022, "loss/hidden": 3.33359375, "loss/jsd": 0.0, "loss/logits": 0.18159984424710274, "step": 28870 }, { "epoch": 0.722, "grad_norm": 32.25, "grad_norm_var": 1.5624348958333334, "learning_rate": 0.0001, "loss": 7.2372, "loss/crossentropy": 1.9990291111171246, "loss/hidden": 3.358203125, "loss/jsd": 0.0, "loss/logits": 0.1772604424506426, "step": 28880 }, { "epoch": 0.72225, "grad_norm": 28.75, "grad_norm_var": 1.8525390625, "learning_rate": 0.0001, "loss": 7.2288, "loss/crossentropy": 2.143052602559328, "loss/hidden": 3.315234375, "loss/jsd": 0.0, "loss/logits": 0.1891188271343708, "step": 28890 }, { "epoch": 0.7225, "grad_norm": 29.5, "grad_norm_var": 1.8936848958333334, "learning_rate": 0.0001, "loss": 7.1928, "loss/crossentropy": 1.9795674622058868, "loss/hidden": 3.433984375, "loss/jsd": 0.0, "loss/logits": 0.17800430227071046, "step": 28900 }, { "epoch": 0.72275, "grad_norm": 42.0, "grad_norm_var": 10.046809895833333, "learning_rate": 0.0001, "loss": 7.2488, "loss/crossentropy": 2.1416710793972014, "loss/hidden": 3.40625, "loss/jsd": 0.0, "loss/logits": 0.19329405389726162, "step": 28910 }, { "epoch": 0.723, "grad_norm": 31.25, "grad_norm_var": 10.276822916666667, "learning_rate": 0.0001, "loss": 7.2998, "loss/crossentropy": 1.9632095940411092, "loss/hidden": 3.3671875, "loss/jsd": 0.0, "loss/logits": 0.1833349185064435, "step": 28920 }, { "epoch": 0.72325, "grad_norm": 30.375, "grad_norm_var": 2.0395182291666667, "learning_rate": 0.0001, "loss": 7.3208, "loss/crossentropy": 2.1186553999781608, "loss/hidden": 3.301171875, "loss/jsd": 0.0, "loss/logits": 0.18248404301702975, "step": 28930 }, { "epoch": 0.7235, "grad_norm": 30.0, "grad_norm_var": 3.1434895833333334, "learning_rate": 0.0001, "loss": 7.397, "loss/crossentropy": 2.1514319077134134, "loss/hidden": 3.4109375, "loss/jsd": 0.0, "loss/logits": 0.20566836930811405, "step": 28940 }, { "epoch": 0.72375, "grad_norm": 28.25, "grad_norm_var": 3.1030598958333333, "learning_rate": 0.0001, "loss": 7.2651, "loss/crossentropy": 2.0852475076913835, "loss/hidden": 3.271484375, "loss/jsd": 0.0, "loss/logits": 0.17877694573253394, "step": 28950 }, { "epoch": 0.724, "grad_norm": 30.125, "grad_norm_var": 2.2171223958333335, "learning_rate": 0.0001, "loss": 7.3286, "loss/crossentropy": 2.1540793150663378, "loss/hidden": 3.395703125, "loss/jsd": 0.0, "loss/logits": 0.17957639656960964, "step": 28960 }, { "epoch": 0.72425, "grad_norm": 28.625, "grad_norm_var": 4.618489583333333, "learning_rate": 0.0001, "loss": 7.3035, "loss/crossentropy": 2.13916500210762, "loss/hidden": 3.4109375, "loss/jsd": 0.0, "loss/logits": 0.2003261223435402, "step": 28970 }, { "epoch": 0.7245, "grad_norm": 31.125, "grad_norm_var": 3.435416666666667, "learning_rate": 0.0001, "loss": 7.3627, "loss/crossentropy": 2.0126554384827613, "loss/hidden": 3.478515625, "loss/jsd": 0.0, "loss/logits": 0.192663181014359, "step": 28980 }, { "epoch": 0.72475, "grad_norm": 27.5, "grad_norm_var": 12.14765625, "learning_rate": 0.0001, "loss": 7.2051, "loss/crossentropy": 1.9036022566258908, "loss/hidden": 3.3734375, "loss/jsd": 0.0, "loss/logits": 0.1818926576524973, "step": 28990 }, { "epoch": 0.725, "grad_norm": 28.25, "grad_norm_var": 12.360416666666667, "learning_rate": 0.0001, "loss": 7.247, "loss/crossentropy": 2.158479106426239, "loss/hidden": 3.419921875, "loss/jsd": 0.0, "loss/logits": 0.2065505689010024, "step": 29000 }, { "epoch": 0.72525, "grad_norm": 29.375, "grad_norm_var": 2.158072916666667, "learning_rate": 0.0001, "loss": 7.3395, "loss/crossentropy": 2.105581759661436, "loss/hidden": 3.403515625, "loss/jsd": 0.0, "loss/logits": 0.19470038171857595, "step": 29010 }, { "epoch": 0.7255, "grad_norm": 36.75, "grad_norm_var": 5.5462890625, "learning_rate": 0.0001, "loss": 7.3939, "loss/crossentropy": 1.9542883321642877, "loss/hidden": 3.4453125, "loss/jsd": 0.0, "loss/logits": 0.1957132790237665, "step": 29020 }, { "epoch": 0.72575, "grad_norm": 33.0, "grad_norm_var": 7.20390625, "learning_rate": 0.0001, "loss": 7.2865, "loss/crossentropy": 2.1816267639398577, "loss/hidden": 3.390625, "loss/jsd": 0.0, "loss/logits": 0.2034391313791275, "step": 29030 }, { "epoch": 0.726, "grad_norm": 30.125, "grad_norm_var": 11.633072916666666, "learning_rate": 0.0001, "loss": 7.2807, "loss/crossentropy": 2.1128641098737715, "loss/hidden": 3.312890625, "loss/jsd": 0.0, "loss/logits": 0.17710135243833064, "step": 29040 }, { "epoch": 0.72625, "grad_norm": 29.75, "grad_norm_var": 11.9150390625, "learning_rate": 0.0001, "loss": 7.2213, "loss/crossentropy": 2.154743219912052, "loss/hidden": 3.271875, "loss/jsd": 0.0, "loss/logits": 0.1751030594110489, "step": 29050 }, { "epoch": 0.7265, "grad_norm": 39.75, "grad_norm_var": 63.35305989583333, "learning_rate": 0.0001, "loss": 7.2911, "loss/crossentropy": 1.957652424275875, "loss/hidden": 3.408984375, "loss/jsd": 0.0, "loss/logits": 0.1776497988961637, "step": 29060 }, { "epoch": 0.72675, "grad_norm": 29.0, "grad_norm_var": 17.909309895833335, "learning_rate": 0.0001, "loss": 7.2493, "loss/crossentropy": 1.99792113378644, "loss/hidden": 3.39140625, "loss/jsd": 0.0, "loss/logits": 0.18379787560552358, "step": 29070 }, { "epoch": 0.727, "grad_norm": 29.875, "grad_norm_var": 3.6488932291666667, "learning_rate": 0.0001, "loss": 7.2821, "loss/crossentropy": 2.0582117259502413, "loss/hidden": 3.38125, "loss/jsd": 0.0, "loss/logits": 0.18036038037389518, "step": 29080 }, { "epoch": 0.72725, "grad_norm": 29.625, "grad_norm_var": 1.8728515625, "learning_rate": 0.0001, "loss": 7.0774, "loss/crossentropy": 2.014867861568928, "loss/hidden": 3.3015625, "loss/jsd": 0.0, "loss/logits": 0.17281777542084456, "step": 29090 }, { "epoch": 0.7275, "grad_norm": 28.625, "grad_norm_var": 3.658333333333333, "learning_rate": 0.0001, "loss": 7.3509, "loss/crossentropy": 2.085656464099884, "loss/hidden": 3.350390625, "loss/jsd": 0.0, "loss/logits": 0.17972098607569933, "step": 29100 }, { "epoch": 0.72775, "grad_norm": 31.75, "grad_norm_var": 2.487434895833333, "learning_rate": 0.0001, "loss": 7.3234, "loss/crossentropy": 2.0445970110595226, "loss/hidden": 3.39609375, "loss/jsd": 0.0, "loss/logits": 0.16965955086052417, "step": 29110 }, { "epoch": 0.728, "grad_norm": 28.0, "grad_norm_var": 1.3020182291666667, "learning_rate": 0.0001, "loss": 7.2674, "loss/crossentropy": 2.2715115547180176, "loss/hidden": 3.37734375, "loss/jsd": 0.0, "loss/logits": 0.1960804032161832, "step": 29120 }, { "epoch": 0.72825, "grad_norm": 29.625, "grad_norm_var": 5.242708333333334, "learning_rate": 0.0001, "loss": 7.3008, "loss/crossentropy": 2.1775743424892426, "loss/hidden": 3.32734375, "loss/jsd": 0.0, "loss/logits": 0.18752657640725373, "step": 29130 }, { "epoch": 0.7285, "grad_norm": 38.5, "grad_norm_var": 3.132886831921837e+18, "learning_rate": 0.0001, "loss": 7.219, "loss/crossentropy": 1.903736773133278, "loss/hidden": 3.37265625, "loss/jsd": 0.0, "loss/logits": 0.17021676823496817, "step": 29140 }, { "epoch": 0.72875, "grad_norm": 38.75, "grad_norm_var": 20.174739583333334, "learning_rate": 0.0001, "loss": 7.3486, "loss/crossentropy": 2.1836992099881174, "loss/hidden": 3.478125, "loss/jsd": 0.0, "loss/logits": 0.2182300578802824, "step": 29150 }, { "epoch": 0.729, "grad_norm": 32.5, "grad_norm_var": 17.109830729166667, "learning_rate": 0.0001, "loss": 7.2701, "loss/crossentropy": 2.0530862897634505, "loss/hidden": 3.2484375, "loss/jsd": 0.0, "loss/logits": 0.18154476722702384, "step": 29160 }, { "epoch": 0.72925, "grad_norm": 30.75, "grad_norm_var": 1.2494140625, "learning_rate": 0.0001, "loss": 7.2304, "loss/crossentropy": 2.0158081978559492, "loss/hidden": 3.440625, "loss/jsd": 0.0, "loss/logits": 0.18534094132483006, "step": 29170 }, { "epoch": 0.7295, "grad_norm": 30.25, "grad_norm_var": 43.02682291666667, "learning_rate": 0.0001, "loss": 7.3198, "loss/crossentropy": 2.254640057682991, "loss/hidden": 3.26953125, "loss/jsd": 0.0, "loss/logits": 0.19149381387978792, "step": 29180 }, { "epoch": 0.72975, "grad_norm": 32.25, "grad_norm_var": 42.57265625, "learning_rate": 0.0001, "loss": 7.3284, "loss/crossentropy": 2.1554953277111055, "loss/hidden": 3.38125, "loss/jsd": 0.0, "loss/logits": 0.1914082583039999, "step": 29190 }, { "epoch": 0.73, "grad_norm": 30.875, "grad_norm_var": 2.520247395833333, "learning_rate": 0.0001, "loss": 7.188, "loss/crossentropy": 2.095432303100824, "loss/hidden": 3.308203125, "loss/jsd": 0.0, "loss/logits": 0.17190228644758462, "step": 29200 }, { "epoch": 0.73025, "grad_norm": 31.0, "grad_norm_var": 1.8103515625, "learning_rate": 0.0001, "loss": 7.2669, "loss/crossentropy": 1.9353884100914, "loss/hidden": 3.3296875, "loss/jsd": 0.0, "loss/logits": 0.1733547686599195, "step": 29210 }, { "epoch": 0.7305, "grad_norm": 29.75, "grad_norm_var": 1.64375, "learning_rate": 0.0001, "loss": 7.38, "loss/crossentropy": 2.1763652101159097, "loss/hidden": 3.349609375, "loss/jsd": 0.0, "loss/logits": 0.19759245738387107, "step": 29220 }, { "epoch": 0.73075, "grad_norm": 29.625, "grad_norm_var": 1.9811848958333333, "learning_rate": 0.0001, "loss": 7.316, "loss/crossentropy": 2.059311767667532, "loss/hidden": 3.273046875, "loss/jsd": 0.0, "loss/logits": 0.1732610635459423, "step": 29230 }, { "epoch": 0.731, "grad_norm": 30.75, "grad_norm_var": 1.6296223958333333, "learning_rate": 0.0001, "loss": 7.2387, "loss/crossentropy": 2.1624471306800843, "loss/hidden": 3.27421875, "loss/jsd": 0.0, "loss/logits": 0.18443353176116944, "step": 29240 }, { "epoch": 0.73125, "grad_norm": 30.875, "grad_norm_var": 1.1622395833333334, "learning_rate": 0.0001, "loss": 7.255, "loss/crossentropy": 2.087037294358015, "loss/hidden": 3.46484375, "loss/jsd": 0.0, "loss/logits": 0.18923133062198758, "step": 29250 }, { "epoch": 0.7315, "grad_norm": 28.625, "grad_norm_var": 1.5389973958333334, "learning_rate": 0.0001, "loss": 7.1715, "loss/crossentropy": 2.0068927347660064, "loss/hidden": 3.336328125, "loss/jsd": 0.0, "loss/logits": 0.1776790694333613, "step": 29260 }, { "epoch": 0.73175, "grad_norm": 34.75, "grad_norm_var": 3.0125, "learning_rate": 0.0001, "loss": 7.3044, "loss/crossentropy": 2.237174994498491, "loss/hidden": 3.397265625, "loss/jsd": 0.0, "loss/logits": 0.1987008555792272, "step": 29270 }, { "epoch": 0.732, "grad_norm": 32.75, "grad_norm_var": 4.869791666666667, "learning_rate": 0.0001, "loss": 7.3198, "loss/crossentropy": 2.073240910470486, "loss/hidden": 3.3578125, "loss/jsd": 0.0, "loss/logits": 0.19791424218565226, "step": 29280 }, { "epoch": 0.73225, "grad_norm": 32.5, "grad_norm_var": 3.595833333333333, "learning_rate": 0.0001, "loss": 7.3329, "loss/crossentropy": 2.123592960834503, "loss/hidden": 3.3375, "loss/jsd": 0.0, "loss/logits": 0.18660867251455784, "step": 29290 }, { "epoch": 0.7325, "grad_norm": 27.25, "grad_norm_var": 2.0957682291666666, "learning_rate": 0.0001, "loss": 7.2039, "loss/crossentropy": 2.1879305720329283, "loss/hidden": 3.269921875, "loss/jsd": 0.0, "loss/logits": 0.18721728827804326, "step": 29300 }, { "epoch": 0.73275, "grad_norm": 26.375, "grad_norm_var": 23.684830729166666, "learning_rate": 0.0001, "loss": 7.3075, "loss/crossentropy": 2.0866588428616524, "loss/hidden": 3.3125, "loss/jsd": 0.0, "loss/logits": 0.17703543622046708, "step": 29310 }, { "epoch": 0.733, "grad_norm": 31.375, "grad_norm_var": 23.417708333333334, "learning_rate": 0.0001, "loss": 7.2536, "loss/crossentropy": 2.250990514457226, "loss/hidden": 3.349609375, "loss/jsd": 0.0, "loss/logits": 0.18253531642258167, "step": 29320 }, { "epoch": 0.73325, "grad_norm": 29.125, "grad_norm_var": 2.414322916666667, "learning_rate": 0.0001, "loss": 7.2226, "loss/crossentropy": 2.102177432179451, "loss/hidden": 3.341015625, "loss/jsd": 0.0, "loss/logits": 0.19504718706011773, "step": 29330 }, { "epoch": 0.7335, "grad_norm": 32.5, "grad_norm_var": 2.820572916666667, "learning_rate": 0.0001, "loss": 7.1243, "loss/crossentropy": 2.0512589052319528, "loss/hidden": 3.383984375, "loss/jsd": 0.0, "loss/logits": 0.18182420805096627, "step": 29340 }, { "epoch": 0.73375, "grad_norm": 29.75, "grad_norm_var": 1.9934895833333333, "learning_rate": 0.0001, "loss": 7.3111, "loss/crossentropy": 2.143858629465103, "loss/hidden": 3.480078125, "loss/jsd": 0.0, "loss/logits": 0.19919059351086615, "step": 29350 }, { "epoch": 0.734, "grad_norm": 31.375, "grad_norm_var": 1.80625, "learning_rate": 0.0001, "loss": 7.2538, "loss/crossentropy": 2.0024397730827332, "loss/hidden": 3.255859375, "loss/jsd": 0.0, "loss/logits": 0.17439783103764056, "step": 29360 }, { "epoch": 0.73425, "grad_norm": 31.0, "grad_norm_var": 3.5143229166666665, "learning_rate": 0.0001, "loss": 7.1658, "loss/crossentropy": 1.8820870153605938, "loss/hidden": 3.353515625, "loss/jsd": 0.0, "loss/logits": 0.17721544997766614, "step": 29370 }, { "epoch": 0.7345, "grad_norm": 29.75, "grad_norm_var": 4.33125, "learning_rate": 0.0001, "loss": 7.2407, "loss/crossentropy": 2.068721887469292, "loss/hidden": 3.369921875, "loss/jsd": 0.0, "loss/logits": 0.1961481623351574, "step": 29380 }, { "epoch": 0.73475, "grad_norm": 31.5, "grad_norm_var": 2.603125, "learning_rate": 0.0001, "loss": 7.252, "loss/crossentropy": 2.016729524731636, "loss/hidden": 3.3640625, "loss/jsd": 0.0, "loss/logits": 0.18200870957225562, "step": 29390 }, { "epoch": 0.735, "grad_norm": 29.75, "grad_norm_var": 1.48515625, "learning_rate": 0.0001, "loss": 7.3778, "loss/crossentropy": 2.2266832500696183, "loss/hidden": 3.271875, "loss/jsd": 0.0, "loss/logits": 0.18430891614407302, "step": 29400 }, { "epoch": 0.73525, "grad_norm": 31.0, "grad_norm_var": 7.8931640625, "learning_rate": 0.0001, "loss": 7.2621, "loss/crossentropy": 1.9326732844114303, "loss/hidden": 3.385546875, "loss/jsd": 0.0, "loss/logits": 0.19005155926570297, "step": 29410 }, { "epoch": 0.7355, "grad_norm": 29.25, "grad_norm_var": 6.9681640625, "learning_rate": 0.0001, "loss": 7.3399, "loss/crossentropy": 2.017210554331541, "loss/hidden": 3.240625, "loss/jsd": 0.0, "loss/logits": 0.190559295238927, "step": 29420 }, { "epoch": 0.73575, "grad_norm": 30.625, "grad_norm_var": 1.7583333333333333, "learning_rate": 0.0001, "loss": 7.2686, "loss/crossentropy": 1.7766004413366319, "loss/hidden": 3.479296875, "loss/jsd": 0.0, "loss/logits": 0.18161138612776995, "step": 29430 }, { "epoch": 0.736, "grad_norm": 30.625, "grad_norm_var": 7.8041015625, "learning_rate": 0.0001, "loss": 7.4176, "loss/crossentropy": 2.1919517919421194, "loss/hidden": 3.365234375, "loss/jsd": 0.0, "loss/logits": 0.19109788965433835, "step": 29440 }, { "epoch": 0.73625, "grad_norm": 33.0, "grad_norm_var": 2.630989583333333, "learning_rate": 0.0001, "loss": 7.2415, "loss/crossentropy": 2.187614656984806, "loss/hidden": 3.294921875, "loss/jsd": 0.0, "loss/logits": 0.17972742971032857, "step": 29450 }, { "epoch": 0.7365, "grad_norm": 32.25, "grad_norm_var": 3.4166015625, "learning_rate": 0.0001, "loss": 7.2987, "loss/crossentropy": 2.2710886627435682, "loss/hidden": 3.292578125, "loss/jsd": 0.0, "loss/logits": 0.1898843079805374, "step": 29460 }, { "epoch": 0.73675, "grad_norm": 33.25, "grad_norm_var": 2.787955729166667, "learning_rate": 0.0001, "loss": 7.1919, "loss/crossentropy": 2.1406801946461202, "loss/hidden": 3.28671875, "loss/jsd": 0.0, "loss/logits": 0.18407909590750932, "step": 29470 }, { "epoch": 0.737, "grad_norm": 28.875, "grad_norm_var": 10.710416666666667, "learning_rate": 0.0001, "loss": 7.3633, "loss/crossentropy": 2.117516166716814, "loss/hidden": 3.287109375, "loss/jsd": 0.0, "loss/logits": 0.1789137402549386, "step": 29480 }, { "epoch": 0.73725, "grad_norm": 29.25, "grad_norm_var": 16.240559895833332, "learning_rate": 0.0001, "loss": 7.1497, "loss/crossentropy": 2.0938372761011124, "loss/hidden": 3.237109375, "loss/jsd": 0.0, "loss/logits": 0.16651670411229133, "step": 29490 }, { "epoch": 0.7375, "grad_norm": 31.0, "grad_norm_var": 8.467122395833334, "learning_rate": 0.0001, "loss": 7.1916, "loss/crossentropy": 2.14051573574543, "loss/hidden": 3.33671875, "loss/jsd": 0.0, "loss/logits": 0.17684268727898597, "step": 29500 }, { "epoch": 0.73775, "grad_norm": 31.625, "grad_norm_var": 1.834375, "learning_rate": 0.0001, "loss": 7.2436, "loss/crossentropy": 1.9776017241179944, "loss/hidden": 3.290234375, "loss/jsd": 0.0, "loss/logits": 0.17606793977320195, "step": 29510 }, { "epoch": 0.738, "grad_norm": 29.75, "grad_norm_var": 1.5052083333333333, "learning_rate": 0.0001, "loss": 7.2794, "loss/crossentropy": 2.1177644938230515, "loss/hidden": 3.40078125, "loss/jsd": 0.0, "loss/logits": 0.19227085784077644, "step": 29520 }, { "epoch": 0.73825, "grad_norm": 34.75, "grad_norm_var": 6.0197265625, "learning_rate": 0.0001, "loss": 7.2809, "loss/crossentropy": 2.0195805758237837, "loss/hidden": 3.32421875, "loss/jsd": 0.0, "loss/logits": 0.16698714587837457, "step": 29530 }, { "epoch": 0.7385, "grad_norm": 31.25, "grad_norm_var": 5.507747395833333, "learning_rate": 0.0001, "loss": 7.2993, "loss/crossentropy": 2.17318941950798, "loss/hidden": 3.315234375, "loss/jsd": 0.0, "loss/logits": 0.1887758129276335, "step": 29540 }, { "epoch": 0.73875, "grad_norm": 28.875, "grad_norm_var": 1.6400390625, "learning_rate": 0.0001, "loss": 7.2153, "loss/crossentropy": 2.0143275789916517, "loss/hidden": 3.369921875, "loss/jsd": 0.0, "loss/logits": 0.16856615301221609, "step": 29550 }, { "epoch": 0.739, "grad_norm": 29.375, "grad_norm_var": 2.662239583333333, "learning_rate": 0.0001, "loss": 7.3949, "loss/crossentropy": 2.2027142092585565, "loss/hidden": 3.379296875, "loss/jsd": 0.0, "loss/logits": 0.18870100285857916, "step": 29560 }, { "epoch": 0.73925, "grad_norm": 29.5, "grad_norm_var": 2.7436848958333333, "learning_rate": 0.0001, "loss": 7.3728, "loss/crossentropy": 1.9897805616259574, "loss/hidden": 3.44609375, "loss/jsd": 0.0, "loss/logits": 0.21316022276878357, "step": 29570 }, { "epoch": 0.7395, "grad_norm": 36.0, "grad_norm_var": 3.5747395833333333, "learning_rate": 0.0001, "loss": 7.2612, "loss/crossentropy": 2.169425293803215, "loss/hidden": 3.357421875, "loss/jsd": 0.0, "loss/logits": 0.18564392458647488, "step": 29580 }, { "epoch": 0.73975, "grad_norm": 33.5, "grad_norm_var": 5.126497395833334, "learning_rate": 0.0001, "loss": 7.1713, "loss/crossentropy": 1.8968232870101929, "loss/hidden": 3.403125, "loss/jsd": 0.0, "loss/logits": 0.17540717963129282, "step": 29590 }, { "epoch": 0.74, "grad_norm": 30.375, "grad_norm_var": 3.905989583333333, "learning_rate": 0.0001, "loss": 7.3553, "loss/crossentropy": 2.120753511786461, "loss/hidden": 3.398046875, "loss/jsd": 0.0, "loss/logits": 0.1904517425224185, "step": 29600 }, { "epoch": 0.74025, "grad_norm": 30.375, "grad_norm_var": 4.1375, "learning_rate": 0.0001, "loss": 7.3046, "loss/crossentropy": 2.1590781211853027, "loss/hidden": 3.3734375, "loss/jsd": 0.0, "loss/logits": 0.19008232783526183, "step": 29610 }, { "epoch": 0.7405, "grad_norm": 31.375, "grad_norm_var": 3.600455729166667, "learning_rate": 0.0001, "loss": 7.3147, "loss/crossentropy": 1.9427101552486419, "loss/hidden": 3.308984375, "loss/jsd": 0.0, "loss/logits": 0.170235357247293, "step": 29620 }, { "epoch": 0.74075, "grad_norm": 29.75, "grad_norm_var": 1.8582682291666666, "learning_rate": 0.0001, "loss": 7.3301, "loss/crossentropy": 2.0426175825297834, "loss/hidden": 3.336328125, "loss/jsd": 0.0, "loss/logits": 0.1734724512323737, "step": 29630 }, { "epoch": 0.741, "grad_norm": 30.375, "grad_norm_var": 1.0462890625, "learning_rate": 0.0001, "loss": 7.3503, "loss/crossentropy": 2.1062657207250597, "loss/hidden": 3.330078125, "loss/jsd": 0.0, "loss/logits": 0.1793691584840417, "step": 29640 }, { "epoch": 0.74125, "grad_norm": 33.0, "grad_norm_var": 2.2684895833333334, "learning_rate": 0.0001, "loss": 7.2387, "loss/crossentropy": 2.0198217228055, "loss/hidden": 3.3234375, "loss/jsd": 0.0, "loss/logits": 0.17088997922837734, "step": 29650 }, { "epoch": 0.7415, "grad_norm": 31.125, "grad_norm_var": 3.3677083333333333, "learning_rate": 0.0001, "loss": 7.2345, "loss/crossentropy": 2.131781388819218, "loss/hidden": 3.33828125, "loss/jsd": 0.0, "loss/logits": 0.18850240260362625, "step": 29660 }, { "epoch": 0.74175, "grad_norm": 31.125, "grad_norm_var": 3.145247395833333, "learning_rate": 0.0001, "loss": 7.2585, "loss/crossentropy": 2.1001341193914413, "loss/hidden": 3.291015625, "loss/jsd": 0.0, "loss/logits": 0.18017663452774285, "step": 29670 }, { "epoch": 0.742, "grad_norm": 30.375, "grad_norm_var": 4.264322916666667, "learning_rate": 0.0001, "loss": 7.3288, "loss/crossentropy": 2.1850179612636564, "loss/hidden": 3.337890625, "loss/jsd": 0.0, "loss/logits": 0.1874097477644682, "step": 29680 }, { "epoch": 0.74225, "grad_norm": 31.125, "grad_norm_var": 2.655143229166667, "learning_rate": 0.0001, "loss": 7.284, "loss/crossentropy": 2.088411360234022, "loss/hidden": 3.348828125, "loss/jsd": 0.0, "loss/logits": 0.1895237101241946, "step": 29690 }, { "epoch": 0.7425, "grad_norm": 28.125, "grad_norm_var": 3.039322916666667, "learning_rate": 0.0001, "loss": 7.1583, "loss/crossentropy": 2.0124595299363137, "loss/hidden": 3.328515625, "loss/jsd": 0.0, "loss/logits": 0.17138318605720998, "step": 29700 }, { "epoch": 0.74275, "grad_norm": 30.875, "grad_norm_var": 1.5801432291666666, "learning_rate": 0.0001, "loss": 7.2585, "loss/crossentropy": 2.1081888318061828, "loss/hidden": 3.287109375, "loss/jsd": 0.0, "loss/logits": 0.17212112471461297, "step": 29710 }, { "epoch": 0.743, "grad_norm": 30.25, "grad_norm_var": 4.846809895833333, "learning_rate": 0.0001, "loss": 7.2807, "loss/crossentropy": 2.052864673733711, "loss/hidden": 3.30546875, "loss/jsd": 0.0, "loss/logits": 0.17533118948340415, "step": 29720 }, { "epoch": 0.74325, "grad_norm": 28.875, "grad_norm_var": 1.8083333333333333, "learning_rate": 0.0001, "loss": 7.2476, "loss/crossentropy": 2.0982922323048117, "loss/hidden": 3.328515625, "loss/jsd": 0.0, "loss/logits": 0.18855995871126652, "step": 29730 }, { "epoch": 0.7435, "grad_norm": 32.75, "grad_norm_var": 3.3103515625, "learning_rate": 0.0001, "loss": 7.3216, "loss/crossentropy": 2.0989072144031526, "loss/hidden": 3.290625, "loss/jsd": 0.0, "loss/logits": 0.1823441507294774, "step": 29740 }, { "epoch": 0.74375, "grad_norm": 32.5, "grad_norm_var": 2.7979166666666666, "learning_rate": 0.0001, "loss": 7.2959, "loss/crossentropy": 2.1087387457489966, "loss/hidden": 3.426171875, "loss/jsd": 0.0, "loss/logits": 0.19064594879746438, "step": 29750 }, { "epoch": 0.744, "grad_norm": 31.875, "grad_norm_var": 1.8525390625, "learning_rate": 0.0001, "loss": 7.4191, "loss/crossentropy": 1.9283446200191974, "loss/hidden": 3.3984375, "loss/jsd": 0.0, "loss/logits": 0.1755460049957037, "step": 29760 }, { "epoch": 0.74425, "grad_norm": 32.25, "grad_norm_var": 2.370247395833333, "learning_rate": 0.0001, "loss": 7.1647, "loss/crossentropy": 2.0763636574149134, "loss/hidden": 3.30078125, "loss/jsd": 0.0, "loss/logits": 0.18310361802577974, "step": 29770 }, { "epoch": 0.7445, "grad_norm": 31.5, "grad_norm_var": 2.1337890625, "learning_rate": 0.0001, "loss": 7.3702, "loss/crossentropy": 2.1763921469449996, "loss/hidden": 3.31796875, "loss/jsd": 0.0, "loss/logits": 0.18296955525875092, "step": 29780 }, { "epoch": 0.74475, "grad_norm": 35.0, "grad_norm_var": 4.333072916666667, "learning_rate": 0.0001, "loss": 7.2519, "loss/crossentropy": 2.101426640152931, "loss/hidden": 3.403125, "loss/jsd": 0.0, "loss/logits": 0.18623395673930646, "step": 29790 }, { "epoch": 0.745, "grad_norm": 30.0, "grad_norm_var": 3.4559895833333334, "learning_rate": 0.0001, "loss": 7.2323, "loss/crossentropy": 2.1355843022465706, "loss/hidden": 3.42734375, "loss/jsd": 0.0, "loss/logits": 0.19213641248643398, "step": 29800 }, { "epoch": 0.74525, "grad_norm": 28.75, "grad_norm_var": 2.5947265625, "learning_rate": 0.0001, "loss": 7.3239, "loss/crossentropy": 2.138861904293299, "loss/hidden": 3.385546875, "loss/jsd": 0.0, "loss/logits": 0.19748148396611215, "step": 29810 }, { "epoch": 0.7455, "grad_norm": 32.0, "grad_norm_var": 2.6455729166666666, "learning_rate": 0.0001, "loss": 7.2485, "loss/crossentropy": 2.074553743004799, "loss/hidden": 3.25390625, "loss/jsd": 0.0, "loss/logits": 0.17721196599304676, "step": 29820 }, { "epoch": 0.74575, "grad_norm": 33.25, "grad_norm_var": 2.919205729166667, "learning_rate": 0.0001, "loss": 7.2774, "loss/crossentropy": 2.206491988897324, "loss/hidden": 3.413671875, "loss/jsd": 0.0, "loss/logits": 0.19982497543096542, "step": 29830 }, { "epoch": 0.746, "grad_norm": 29.25, "grad_norm_var": 3.2625, "learning_rate": 0.0001, "loss": 7.1951, "loss/crossentropy": 2.032223401963711, "loss/hidden": 3.3328125, "loss/jsd": 0.0, "loss/logits": 0.18081800378859042, "step": 29840 }, { "epoch": 0.74625, "grad_norm": 28.125, "grad_norm_var": 2.6455729166666666, "learning_rate": 0.0001, "loss": 7.2018, "loss/crossentropy": 2.1063923329114913, "loss/hidden": 3.344921875, "loss/jsd": 0.0, "loss/logits": 0.17570548821240664, "step": 29850 }, { "epoch": 0.7465, "grad_norm": 30.75, "grad_norm_var": 3.1328868320619617e+18, "learning_rate": 0.0001, "loss": 7.2075, "loss/crossentropy": 2.008588743954897, "loss/hidden": 3.26640625, "loss/jsd": 0.0, "loss/logits": 0.16772094201296567, "step": 29860 }, { "epoch": 0.74675, "grad_norm": 30.25, "grad_norm_var": 3.1328868314940877e+18, "learning_rate": 0.0001, "loss": 7.2256, "loss/crossentropy": 2.327219396829605, "loss/hidden": 3.30078125, "loss/jsd": 0.0, "loss/logits": 0.1916476283222437, "step": 29870 }, { "epoch": 0.747, "grad_norm": 30.25, "grad_norm_var": 2.06015625, "learning_rate": 0.0001, "loss": 7.2006, "loss/crossentropy": 2.1967759788036347, "loss/hidden": 3.255859375, "loss/jsd": 0.0, "loss/logits": 0.181925462000072, "step": 29880 }, { "epoch": 0.74725, "grad_norm": 29.0, "grad_norm_var": 1.07265625, "learning_rate": 0.0001, "loss": 7.3302, "loss/crossentropy": 2.0784429952502252, "loss/hidden": 3.4046875, "loss/jsd": 0.0, "loss/logits": 0.20122398622334003, "step": 29890 }, { "epoch": 0.7475, "grad_norm": 30.5, "grad_norm_var": 2.16015625, "learning_rate": 0.0001, "loss": 7.2241, "loss/crossentropy": 2.044815068691969, "loss/hidden": 3.344921875, "loss/jsd": 0.0, "loss/logits": 0.17522517647594213, "step": 29900 }, { "epoch": 0.74775, "grad_norm": 30.625, "grad_norm_var": 2.7848307291666665, "learning_rate": 0.0001, "loss": 7.241, "loss/crossentropy": 2.0202932924032213, "loss/hidden": 3.4359375, "loss/jsd": 0.0, "loss/logits": 0.18710787147283553, "step": 29910 }, { "epoch": 0.748, "grad_norm": 35.75, "grad_norm_var": 4.892643229166667, "learning_rate": 0.0001, "loss": 7.4702, "loss/crossentropy": 1.9623441621661186, "loss/hidden": 3.460546875, "loss/jsd": 0.0, "loss/logits": 0.18277720119804144, "step": 29920 }, { "epoch": 0.74825, "grad_norm": 33.5, "grad_norm_var": 32.8087890625, "learning_rate": 0.0001, "loss": 7.2328, "loss/crossentropy": 2.1580356508493423, "loss/hidden": 3.273828125, "loss/jsd": 0.0, "loss/logits": 0.18409592770040034, "step": 29930 }, { "epoch": 0.7485, "grad_norm": 29.5, "grad_norm_var": 5.335416666666666, "learning_rate": 0.0001, "loss": 7.2307, "loss/crossentropy": 1.9020950391888618, "loss/hidden": 3.2171875, "loss/jsd": 0.0, "loss/logits": 0.16977879907935858, "step": 29940 }, { "epoch": 0.74875, "grad_norm": 28.5, "grad_norm_var": 3.9124348958333335, "learning_rate": 0.0001, "loss": 7.1602, "loss/crossentropy": 1.9830825686454774, "loss/hidden": 3.41875, "loss/jsd": 0.0, "loss/logits": 0.19025738779455423, "step": 29950 }, { "epoch": 0.749, "grad_norm": 30.125, "grad_norm_var": 1.4872395833333334, "learning_rate": 0.0001, "loss": 7.2886, "loss/crossentropy": 2.0990236908197404, "loss/hidden": 3.404296875, "loss/jsd": 0.0, "loss/logits": 0.20246837567538023, "step": 29960 }, { "epoch": 0.74925, "grad_norm": 32.0, "grad_norm_var": 1.5291015625, "learning_rate": 0.0001, "loss": 7.3944, "loss/crossentropy": 2.0726598769426348, "loss/hidden": 3.27890625, "loss/jsd": 0.0, "loss/logits": 0.17855302877724172, "step": 29970 }, { "epoch": 0.7495, "grad_norm": 29.0, "grad_norm_var": 3.155989583333333, "learning_rate": 0.0001, "loss": 7.0988, "loss/crossentropy": 2.0020054180175064, "loss/hidden": 3.27890625, "loss/jsd": 0.0, "loss/logits": 0.1707400310318917, "step": 29980 }, { "epoch": 0.74975, "grad_norm": 29.75, "grad_norm_var": 2.613541666666667, "learning_rate": 0.0001, "loss": 7.3437, "loss/crossentropy": 2.1497740030288695, "loss/hidden": 3.306640625, "loss/jsd": 0.0, "loss/logits": 0.18407329265028238, "step": 29990 }, { "epoch": 0.75, "grad_norm": 30.125, "grad_norm_var": 1.3348307291666666, "learning_rate": 0.0001, "loss": 7.3011, "loss/crossentropy": 2.10102431550622, "loss/hidden": 3.404296875, "loss/jsd": 0.0, "loss/logits": 0.18685767855495214, "step": 30000 }, { "epoch": 0.75025, "grad_norm": 28.75, "grad_norm_var": 1.8431640625, "learning_rate": 0.0001, "loss": 7.2246, "loss/crossentropy": 2.2319724306464197, "loss/hidden": 3.389453125, "loss/jsd": 0.0, "loss/logits": 0.21383447982370854, "step": 30010 }, { "epoch": 0.7505, "grad_norm": 28.875, "grad_norm_var": 3.6244140625, "learning_rate": 0.0001, "loss": 7.3341, "loss/crossentropy": 2.021278867125511, "loss/hidden": 3.43359375, "loss/jsd": 0.0, "loss/logits": 0.20931231547147036, "step": 30020 }, { "epoch": 0.75075, "grad_norm": 29.375, "grad_norm_var": 4.070572916666666, "learning_rate": 0.0001, "loss": 7.2765, "loss/crossentropy": 2.1085473522543907, "loss/hidden": 3.330078125, "loss/jsd": 0.0, "loss/logits": 0.18091097762808203, "step": 30030 }, { "epoch": 0.751, "grad_norm": 31.75, "grad_norm_var": 4.53125, "learning_rate": 0.0001, "loss": 7.3646, "loss/crossentropy": 2.1863505825400353, "loss/hidden": 3.35078125, "loss/jsd": 0.0, "loss/logits": 0.1947094239294529, "step": 30040 }, { "epoch": 0.75125, "grad_norm": 29.75, "grad_norm_var": 3.1030598958333333, "learning_rate": 0.0001, "loss": 7.2667, "loss/crossentropy": 1.9493524998426437, "loss/hidden": 3.3609375, "loss/jsd": 0.0, "loss/logits": 0.18073509354144335, "step": 30050 }, { "epoch": 0.7515, "grad_norm": 33.0, "grad_norm_var": 2.85625, "learning_rate": 0.0001, "loss": 7.3301, "loss/crossentropy": 2.0162834845483304, "loss/hidden": 3.274609375, "loss/jsd": 0.0, "loss/logits": 0.17740605510771273, "step": 30060 }, { "epoch": 0.75175, "grad_norm": 30.0, "grad_norm_var": 1.6854166666666666, "learning_rate": 0.0001, "loss": 7.3117, "loss/crossentropy": 2.247773203253746, "loss/hidden": 3.307421875, "loss/jsd": 0.0, "loss/logits": 0.1955332661047578, "step": 30070 }, { "epoch": 0.752, "grad_norm": 28.75, "grad_norm_var": 2.721809895833333, "learning_rate": 0.0001, "loss": 7.2713, "loss/crossentropy": 1.8765224024653435, "loss/hidden": 3.3640625, "loss/jsd": 0.0, "loss/logits": 0.18920745309442283, "step": 30080 }, { "epoch": 0.75225, "grad_norm": 29.75, "grad_norm_var": 2.4228515625, "learning_rate": 0.0001, "loss": 7.2952, "loss/crossentropy": 2.0629479378461837, "loss/hidden": 3.31328125, "loss/jsd": 0.0, "loss/logits": 0.1822500554844737, "step": 30090 }, { "epoch": 0.7525, "grad_norm": 29.5, "grad_norm_var": 1.8885416666666666, "learning_rate": 0.0001, "loss": 7.2476, "loss/crossentropy": 2.0535168081521986, "loss/hidden": 3.379296875, "loss/jsd": 0.0, "loss/logits": 0.1875293802469969, "step": 30100 }, { "epoch": 0.75275, "grad_norm": 29.5, "grad_norm_var": 2.8353515625, "learning_rate": 0.0001, "loss": 7.3444, "loss/crossentropy": 2.153412875533104, "loss/hidden": 3.379296875, "loss/jsd": 0.0, "loss/logits": 0.20092597529292106, "step": 30110 }, { "epoch": 0.753, "grad_norm": 29.75, "grad_norm_var": 13.36015625, "learning_rate": 0.0001, "loss": 7.1798, "loss/crossentropy": 2.135878336429596, "loss/hidden": 3.26328125, "loss/jsd": 0.0, "loss/logits": 0.17593010412529111, "step": 30120 }, { "epoch": 0.75325, "grad_norm": 33.0, "grad_norm_var": 18.307747395833335, "learning_rate": 0.0001, "loss": 7.2136, "loss/crossentropy": 2.1997751981019973, "loss/hidden": 3.426171875, "loss/jsd": 0.0, "loss/logits": 0.18918296322226524, "step": 30130 }, { "epoch": 0.7535, "grad_norm": 39.5, "grad_norm_var": 3.0444333210866637e+18, "learning_rate": 0.0001, "loss": 7.332, "loss/crossentropy": 1.9713260725140571, "loss/hidden": 3.4015625, "loss/jsd": 0.0, "loss/logits": 0.19746107552200556, "step": 30140 }, { "epoch": 0.75375, "grad_norm": 29.875, "grad_norm_var": 3.04443332031603e+18, "learning_rate": 0.0001, "loss": 7.3182, "loss/crossentropy": 2.0566159434616567, "loss/hidden": 3.31015625, "loss/jsd": 0.0, "loss/logits": 0.17785473773255944, "step": 30150 }, { "epoch": 0.754, "grad_norm": 30.75, "grad_norm_var": 4.223372395833334, "learning_rate": 0.0001, "loss": 7.2001, "loss/crossentropy": 1.8348468966782092, "loss/hidden": 3.287109375, "loss/jsd": 0.0, "loss/logits": 0.15625384994782507, "step": 30160 }, { "epoch": 0.75425, "grad_norm": 35.25, "grad_norm_var": 4.393489583333333, "learning_rate": 0.0001, "loss": 7.3332, "loss/crossentropy": 1.963544089347124, "loss/hidden": 3.5234375, "loss/jsd": 0.0, "loss/logits": 0.22075258214026688, "step": 30170 }, { "epoch": 0.7545, "grad_norm": 29.25, "grad_norm_var": 4.516080729166666, "learning_rate": 0.0001, "loss": 7.2782, "loss/crossentropy": 1.9644573964178562, "loss/hidden": 3.4171875, "loss/jsd": 0.0, "loss/logits": 0.18735937895253302, "step": 30180 }, { "epoch": 0.75475, "grad_norm": 29.5, "grad_norm_var": 4.713541666666667, "learning_rate": 0.0001, "loss": 7.2855, "loss/crossentropy": 2.0815071538090706, "loss/hidden": 3.3453125, "loss/jsd": 0.0, "loss/logits": 0.18255099412053824, "step": 30190 }, { "epoch": 0.755, "grad_norm": 29.375, "grad_norm_var": 7.876822916666667, "learning_rate": 0.0001, "loss": 7.2586, "loss/crossentropy": 2.0835547246038915, "loss/hidden": 3.294921875, "loss/jsd": 0.0, "loss/logits": 0.18153475932776927, "step": 30200 }, { "epoch": 0.75525, "grad_norm": 44.0, "grad_norm_var": 13.9884765625, "learning_rate": 0.0001, "loss": 7.3384, "loss/crossentropy": 2.1766451790928842, "loss/hidden": 3.412890625, "loss/jsd": 0.0, "loss/logits": 0.1941084787249565, "step": 30210 }, { "epoch": 0.7555, "grad_norm": 28.125, "grad_norm_var": 16.192122395833334, "learning_rate": 0.0001, "loss": 7.3195, "loss/crossentropy": 2.1572922460734842, "loss/hidden": 3.2859375, "loss/jsd": 0.0, "loss/logits": 0.18345598923042417, "step": 30220 }, { "epoch": 0.75575, "grad_norm": 29.375, "grad_norm_var": 2.8363932291666667, "learning_rate": 0.0001, "loss": 7.1101, "loss/crossentropy": 1.9785410642623902, "loss/hidden": 3.346875, "loss/jsd": 0.0, "loss/logits": 0.1788899280130863, "step": 30230 }, { "epoch": 0.756, "grad_norm": 30.75, "grad_norm_var": 14.198958333333334, "learning_rate": 0.0001, "loss": 7.2872, "loss/crossentropy": 2.032851605117321, "loss/hidden": 3.440625, "loss/jsd": 0.0, "loss/logits": 0.19580046012997626, "step": 30240 }, { "epoch": 0.75625, "grad_norm": 31.375, "grad_norm_var": 17.10390625, "learning_rate": 0.0001, "loss": 7.112, "loss/crossentropy": 2.0762212831526994, "loss/hidden": 3.31328125, "loss/jsd": 0.0, "loss/logits": 0.1714485607109964, "step": 30250 }, { "epoch": 0.7565, "grad_norm": 29.5, "grad_norm_var": 3.03125, "learning_rate": 0.0001, "loss": 7.2301, "loss/crossentropy": 2.2272632330656053, "loss/hidden": 3.43046875, "loss/jsd": 0.0, "loss/logits": 0.20788154676556586, "step": 30260 }, { "epoch": 0.75675, "grad_norm": 31.625, "grad_norm_var": 2.09140625, "learning_rate": 0.0001, "loss": 7.2818, "loss/crossentropy": 2.0946265175938605, "loss/hidden": 3.28203125, "loss/jsd": 0.0, "loss/logits": 0.18614709600806237, "step": 30270 }, { "epoch": 0.757, "grad_norm": 28.375, "grad_norm_var": 0.8514973958333333, "learning_rate": 0.0001, "loss": 7.1706, "loss/crossentropy": 2.0933008804917335, "loss/hidden": 3.3609375, "loss/jsd": 0.0, "loss/logits": 0.17898790668696166, "step": 30280 }, { "epoch": 0.75725, "grad_norm": 27.875, "grad_norm_var": 1.0989583333333333, "learning_rate": 0.0001, "loss": 7.3146, "loss/crossentropy": 2.122311710566282, "loss/hidden": 3.312890625, "loss/jsd": 0.0, "loss/logits": 0.16947407890111207, "step": 30290 }, { "epoch": 0.7575, "grad_norm": 31.625, "grad_norm_var": 3.0152302917171804e+18, "learning_rate": 0.0001, "loss": 7.3609, "loss/crossentropy": 2.206487476825714, "loss/hidden": 3.308203125, "loss/jsd": 0.0, "loss/logits": 0.19262611195445062, "step": 30300 }, { "epoch": 0.75775, "grad_norm": 27.625, "grad_norm_var": 3.122330729166667, "learning_rate": 0.0001, "loss": 7.208, "loss/crossentropy": 2.166238710284233, "loss/hidden": 3.351171875, "loss/jsd": 0.0, "loss/logits": 0.19571597315371037, "step": 30310 }, { "epoch": 0.758, "grad_norm": 27.75, "grad_norm_var": 2.3692057291666666, "learning_rate": 0.0001, "loss": 7.3066, "loss/crossentropy": 2.1176643908023833, "loss/hidden": 3.2671875, "loss/jsd": 0.0, "loss/logits": 0.17054121531546115, "step": 30320 }, { "epoch": 0.75825, "grad_norm": 34.0, "grad_norm_var": 238.5572265625, "learning_rate": 0.0001, "loss": 7.2952, "loss/crossentropy": 1.9073448725044728, "loss/hidden": 3.3484375, "loss/jsd": 0.0, "loss/logits": 0.1762677811086178, "step": 30330 }, { "epoch": 0.7585, "grad_norm": 28.5, "grad_norm_var": 231.375, "learning_rate": 0.0001, "loss": 7.1593, "loss/crossentropy": 2.0104400724172593, "loss/hidden": 3.259765625, "loss/jsd": 0.0, "loss/logits": 0.17894950192421674, "step": 30340 }, { "epoch": 0.75875, "grad_norm": 31.375, "grad_norm_var": 1.9681640625, "learning_rate": 0.0001, "loss": 7.2992, "loss/crossentropy": 2.0130166873335837, "loss/hidden": 3.3609375, "loss/jsd": 0.0, "loss/logits": 0.17820241563022138, "step": 30350 }, { "epoch": 0.759, "grad_norm": 34.75, "grad_norm_var": 3.71640625, "learning_rate": 0.0001, "loss": 7.2691, "loss/crossentropy": 2.0536349333822725, "loss/hidden": 3.351953125, "loss/jsd": 0.0, "loss/logits": 0.18395173139870166, "step": 30360 }, { "epoch": 0.75925, "grad_norm": 29.875, "grad_norm_var": 25.2056640625, "learning_rate": 0.0001, "loss": 7.2065, "loss/crossentropy": 2.1257813230156897, "loss/hidden": 3.39453125, "loss/jsd": 0.0, "loss/logits": 0.17920450903475285, "step": 30370 }, { "epoch": 0.7595, "grad_norm": 31.125, "grad_norm_var": 24.911393229166666, "learning_rate": 0.0001, "loss": 7.2013, "loss/crossentropy": 2.2414271771907806, "loss/hidden": 3.2984375, "loss/jsd": 0.0, "loss/logits": 0.19076382871717215, "step": 30380 }, { "epoch": 0.75975, "grad_norm": 30.75, "grad_norm_var": 1.603125, "learning_rate": 0.0001, "loss": 7.163, "loss/crossentropy": 2.077455496788025, "loss/hidden": 3.286328125, "loss/jsd": 0.0, "loss/logits": 0.189267154969275, "step": 30390 }, { "epoch": 0.76, "grad_norm": 32.75, "grad_norm_var": 3.5791015625, "learning_rate": 0.0001, "loss": 7.3401, "loss/crossentropy": 2.0604166358709337, "loss/hidden": 3.347265625, "loss/jsd": 0.0, "loss/logits": 0.1891783157363534, "step": 30400 }, { "epoch": 0.76025, "grad_norm": 28.5, "grad_norm_var": 4.080208333333333, "learning_rate": 0.0001, "loss": 7.2248, "loss/crossentropy": 2.021010288596153, "loss/hidden": 3.323046875, "loss/jsd": 0.0, "loss/logits": 0.1886049335822463, "step": 30410 }, { "epoch": 0.7605, "grad_norm": 34.75, "grad_norm_var": 2.6080729166666665, "learning_rate": 0.0001, "loss": 7.2918, "loss/crossentropy": 2.104072753340006, "loss/hidden": 3.34140625, "loss/jsd": 0.0, "loss/logits": 0.18789286576211453, "step": 30420 }, { "epoch": 0.76075, "grad_norm": 29.375, "grad_norm_var": 2.983268229166667, "learning_rate": 0.0001, "loss": 7.3593, "loss/crossentropy": 2.077750712633133, "loss/hidden": 3.368359375, "loss/jsd": 0.0, "loss/logits": 0.18233956769108772, "step": 30430 }, { "epoch": 0.761, "grad_norm": 29.75, "grad_norm_var": 3.0737770858689853e+18, "learning_rate": 0.0001, "loss": 7.3333, "loss/crossentropy": 2.1295972421765326, "loss/hidden": 3.346875, "loss/jsd": 0.0, "loss/logits": 0.18910994809120893, "step": 30440 }, { "epoch": 0.76125, "grad_norm": 32.25, "grad_norm_var": 27.800455729166668, "learning_rate": 0.0001, "loss": 7.4099, "loss/crossentropy": 2.0139816865324973, "loss/hidden": 3.41875, "loss/jsd": 0.0, "loss/logits": 0.18354472760111093, "step": 30450 }, { "epoch": 0.7615, "grad_norm": 29.0, "grad_norm_var": 164.29837239583333, "learning_rate": 0.0001, "loss": 7.1649, "loss/crossentropy": 2.0612717509269713, "loss/hidden": 3.342578125, "loss/jsd": 0.0, "loss/logits": 0.1756343010812998, "step": 30460 }, { "epoch": 0.76175, "grad_norm": 28.0, "grad_norm_var": 167.95104166666667, "learning_rate": 0.0001, "loss": 7.2015, "loss/crossentropy": 2.110891255736351, "loss/hidden": 3.349609375, "loss/jsd": 0.0, "loss/logits": 0.19027273952960969, "step": 30470 }, { "epoch": 0.762, "grad_norm": 29.0, "grad_norm_var": 3.1747395833333334, "learning_rate": 0.0001, "loss": 7.277, "loss/crossentropy": 2.1438290625810623, "loss/hidden": 3.3671875, "loss/jsd": 0.0, "loss/logits": 0.202046955563128, "step": 30480 }, { "epoch": 0.76225, "grad_norm": 28.5, "grad_norm_var": 22.799739583333334, "learning_rate": 0.0001, "loss": 7.2273, "loss/crossentropy": 1.9993860483169557, "loss/hidden": 3.394140625, "loss/jsd": 0.0, "loss/logits": 0.18927458357065916, "step": 30490 }, { "epoch": 0.7625, "grad_norm": 28.75, "grad_norm_var": 27.1634765625, "learning_rate": 0.0001, "loss": 7.2857, "loss/crossentropy": 2.0218796797096728, "loss/hidden": 3.38984375, "loss/jsd": 0.0, "loss/logits": 0.19677631575614213, "step": 30500 }, { "epoch": 0.76275, "grad_norm": 30.0, "grad_norm_var": 31.164583333333333, "learning_rate": 0.0001, "loss": 7.2166, "loss/crossentropy": 2.013028331845999, "loss/hidden": 3.326171875, "loss/jsd": 0.0, "loss/logits": 0.18638179991394282, "step": 30510 }, { "epoch": 0.763, "grad_norm": 30.875, "grad_norm_var": 15.534309895833333, "learning_rate": 0.0001, "loss": 7.2954, "loss/crossentropy": 2.013714115321636, "loss/hidden": 3.4078125, "loss/jsd": 0.0, "loss/logits": 0.1986254785209894, "step": 30520 }, { "epoch": 0.76325, "grad_norm": 36.75, "grad_norm_var": 13.345572916666667, "learning_rate": 0.0001, "loss": 7.2507, "loss/crossentropy": 2.0372176095843315, "loss/hidden": 3.429296875, "loss/jsd": 0.0, "loss/logits": 0.18047925494611264, "step": 30530 }, { "epoch": 0.7635, "grad_norm": 29.5, "grad_norm_var": 8.724739583333333, "learning_rate": 0.0001, "loss": 7.1431, "loss/crossentropy": 1.8315919287502767, "loss/hidden": 3.298828125, "loss/jsd": 0.0, "loss/logits": 0.16889077816158532, "step": 30540 }, { "epoch": 0.76375, "grad_norm": 30.0, "grad_norm_var": 6.551822916666667, "learning_rate": 0.0001, "loss": 7.3346, "loss/crossentropy": 2.0934281766414644, "loss/hidden": 3.321484375, "loss/jsd": 0.0, "loss/logits": 0.18256967328488827, "step": 30550 }, { "epoch": 0.764, "grad_norm": 35.5, "grad_norm_var": 10.449739583333333, "learning_rate": 0.0001, "loss": 7.1819, "loss/crossentropy": 1.9229003690183162, "loss/hidden": 3.341015625, "loss/jsd": 0.0, "loss/logits": 0.17857125196605922, "step": 30560 }, { "epoch": 0.76425, "grad_norm": 30.125, "grad_norm_var": 3.8202487216409324e+18, "learning_rate": 0.0001, "loss": 7.2603, "loss/crossentropy": 1.8773075222969056, "loss/hidden": 3.39609375, "loss/jsd": 0.0, "loss/logits": 0.182831759005785, "step": 30570 }, { "epoch": 0.7645, "grad_norm": 30.25, "grad_norm_var": 3.820248721478054e+18, "learning_rate": 0.0001, "loss": 7.2925, "loss/crossentropy": 2.222408211231232, "loss/hidden": 3.37109375, "loss/jsd": 0.0, "loss/logits": 0.1848822958767414, "step": 30580 }, { "epoch": 0.76475, "grad_norm": 30.5, "grad_norm_var": 6.410872395833334, "learning_rate": 0.0001, "loss": 7.1576, "loss/crossentropy": 2.0349696803838015, "loss/hidden": 3.259375, "loss/jsd": 0.0, "loss/logits": 0.17177348136901854, "step": 30590 }, { "epoch": 0.765, "grad_norm": 37.5, "grad_norm_var": 7.037239583333333, "learning_rate": 0.0001, "loss": 7.2271, "loss/crossentropy": 2.164412271976471, "loss/hidden": 3.22734375, "loss/jsd": 0.0, "loss/logits": 0.17602096050977706, "step": 30600 }, { "epoch": 0.76525, "grad_norm": 32.75, "grad_norm_var": 8.624739583333334, "learning_rate": 0.0001, "loss": 7.301, "loss/crossentropy": 2.0298607796430588, "loss/hidden": 3.385546875, "loss/jsd": 0.0, "loss/logits": 0.1785941503942013, "step": 30610 }, { "epoch": 0.7655, "grad_norm": 34.5, "grad_norm_var": 4.123958333333333, "learning_rate": 0.0001, "loss": 7.3098, "loss/crossentropy": 2.2510849207639696, "loss/hidden": 3.316796875, "loss/jsd": 0.0, "loss/logits": 0.18415474183857442, "step": 30620 }, { "epoch": 0.76575, "grad_norm": 29.375, "grad_norm_var": 4.39140625, "learning_rate": 0.0001, "loss": 7.2049, "loss/crossentropy": 2.003419761359692, "loss/hidden": 3.2765625, "loss/jsd": 0.0, "loss/logits": 0.18635775558650494, "step": 30630 }, { "epoch": 0.766, "grad_norm": 31.375, "grad_norm_var": 2.545768229166667, "learning_rate": 0.0001, "loss": 7.3128, "loss/crossentropy": 2.138288116455078, "loss/hidden": 3.29140625, "loss/jsd": 0.0, "loss/logits": 0.18150971587747336, "step": 30640 }, { "epoch": 0.76625, "grad_norm": 27.875, "grad_norm_var": 2.600455729166667, "learning_rate": 0.0001, "loss": 7.2306, "loss/crossentropy": 2.03582369312644, "loss/hidden": 3.309765625, "loss/jsd": 0.0, "loss/logits": 0.19014431536197662, "step": 30650 }, { "epoch": 0.7665, "grad_norm": 27.5, "grad_norm_var": 5.403059895833334, "learning_rate": 0.0001, "loss": 7.0785, "loss/crossentropy": 2.023620304465294, "loss/hidden": 3.297265625, "loss/jsd": 0.0, "loss/logits": 0.17827179692685605, "step": 30660 }, { "epoch": 0.76675, "grad_norm": 31.0, "grad_norm_var": 5.3603515625, "learning_rate": 0.0001, "loss": 7.2912, "loss/crossentropy": 2.2133360475301744, "loss/hidden": 3.422265625, "loss/jsd": 0.0, "loss/logits": 0.19060195097699761, "step": 30670 }, { "epoch": 0.767, "grad_norm": 29.75, "grad_norm_var": 4.738997395833334, "learning_rate": 0.0001, "loss": 7.1324, "loss/crossentropy": 2.0448534056544303, "loss/hidden": 3.3390625, "loss/jsd": 0.0, "loss/logits": 0.1814136505126953, "step": 30680 }, { "epoch": 0.76725, "grad_norm": 29.5, "grad_norm_var": 3.6879557291666667, "learning_rate": 0.0001, "loss": 7.2882, "loss/crossentropy": 2.0667665399610997, "loss/hidden": 3.218359375, "loss/jsd": 0.0, "loss/logits": 0.17576975822448732, "step": 30690 }, { "epoch": 0.7675, "grad_norm": 30.375, "grad_norm_var": 2.371809895833333, "learning_rate": 0.0001, "loss": 7.1785, "loss/crossentropy": 1.9460737973451614, "loss/hidden": 3.28671875, "loss/jsd": 0.0, "loss/logits": 0.16462803408503532, "step": 30700 }, { "epoch": 0.76775, "grad_norm": 31.375, "grad_norm_var": 2.758072916666667, "learning_rate": 0.0001, "loss": 7.3006, "loss/crossentropy": 2.1625903218984606, "loss/hidden": 3.373828125, "loss/jsd": 0.0, "loss/logits": 0.19786368366330861, "step": 30710 }, { "epoch": 0.768, "grad_norm": 31.625, "grad_norm_var": 4.087955729166667, "learning_rate": 0.0001, "loss": 7.2984, "loss/crossentropy": 2.115101757645607, "loss/hidden": 3.39765625, "loss/jsd": 0.0, "loss/logits": 0.1990343313664198, "step": 30720 }, { "epoch": 0.76825, "grad_norm": 30.0, "grad_norm_var": 31.29375, "learning_rate": 0.0001, "loss": 7.3308, "loss/crossentropy": 2.1543532446026803, "loss/hidden": 3.354296875, "loss/jsd": 0.0, "loss/logits": 0.18993538860231637, "step": 30730 }, { "epoch": 0.7685, "grad_norm": 31.625, "grad_norm_var": 13.255208333333334, "learning_rate": 0.0001, "loss": 7.3246, "loss/crossentropy": 2.147171225398779, "loss/hidden": 3.284765625, "loss/jsd": 0.0, "loss/logits": 0.18650086652487516, "step": 30740 }, { "epoch": 0.76875, "grad_norm": 31.75, "grad_norm_var": 13.110872395833333, "learning_rate": 0.0001, "loss": 7.3292, "loss/crossentropy": 2.050896894186735, "loss/hidden": 3.39140625, "loss/jsd": 0.0, "loss/logits": 0.19013228435069324, "step": 30750 }, { "epoch": 0.769, "grad_norm": 31.625, "grad_norm_var": 42.296809895833334, "learning_rate": 0.0001, "loss": 7.2417, "loss/crossentropy": 1.9304289899766445, "loss/hidden": 3.415625, "loss/jsd": 0.0, "loss/logits": 0.18646475402638316, "step": 30760 }, { "epoch": 0.76925, "grad_norm": 31.5, "grad_norm_var": 4.1150390625, "learning_rate": 0.0001, "loss": 7.2404, "loss/crossentropy": 2.0934823572635652, "loss/hidden": 3.294140625, "loss/jsd": 0.0, "loss/logits": 0.19288243278861045, "step": 30770 }, { "epoch": 0.7695, "grad_norm": 28.75, "grad_norm_var": 3.3622395833333334, "learning_rate": 0.0001, "loss": 7.1472, "loss/crossentropy": 2.119046524167061, "loss/hidden": 3.434765625, "loss/jsd": 0.0, "loss/logits": 0.19379116278141736, "step": 30780 }, { "epoch": 0.76975, "grad_norm": 28.125, "grad_norm_var": 3.0747395833333333, "learning_rate": 0.0001, "loss": 7.228, "loss/crossentropy": 1.8516628809273243, "loss/hidden": 3.355859375, "loss/jsd": 0.0, "loss/logits": 0.17867155242711305, "step": 30790 }, { "epoch": 0.77, "grad_norm": 30.625, "grad_norm_var": 2.3854166666666665, "learning_rate": 0.0001, "loss": 7.2606, "loss/crossentropy": 2.140632301568985, "loss/hidden": 3.315625, "loss/jsd": 0.0, "loss/logits": 0.17682827562093734, "step": 30800 }, { "epoch": 0.77025, "grad_norm": 31.625, "grad_norm_var": 1.33515625, "learning_rate": 0.0001, "loss": 7.1309, "loss/crossentropy": 2.063164585828781, "loss/hidden": 3.331640625, "loss/jsd": 0.0, "loss/logits": 0.18230299968272448, "step": 30810 }, { "epoch": 0.7705, "grad_norm": 30.375, "grad_norm_var": 2.8103515625, "learning_rate": 0.0001, "loss": 7.2604, "loss/crossentropy": 2.110166022181511, "loss/hidden": 3.319140625, "loss/jsd": 0.0, "loss/logits": 0.18783345203846694, "step": 30820 }, { "epoch": 0.77075, "grad_norm": 29.625, "grad_norm_var": 3.004166666666667, "learning_rate": 0.0001, "loss": 7.298, "loss/crossentropy": 2.1085711009800434, "loss/hidden": 3.364453125, "loss/jsd": 0.0, "loss/logits": 0.2007377685047686, "step": 30830 }, { "epoch": 0.771, "grad_norm": 32.25, "grad_norm_var": 2.7343098958333334, "learning_rate": 0.0001, "loss": 7.2494, "loss/crossentropy": 1.923082959651947, "loss/hidden": 3.350390625, "loss/jsd": 0.0, "loss/logits": 0.17613047789782285, "step": 30840 }, { "epoch": 0.77125, "grad_norm": 30.25, "grad_norm_var": 2.986167998798452e+18, "learning_rate": 0.0001, "loss": 7.245, "loss/crossentropy": 2.139000003039837, "loss/hidden": 3.369140625, "loss/jsd": 0.0, "loss/logits": 0.18553725760430098, "step": 30850 }, { "epoch": 0.7715, "grad_norm": 31.75, "grad_norm_var": 6.801041666666666, "learning_rate": 0.0001, "loss": 7.2407, "loss/crossentropy": 1.9860042557120323, "loss/hidden": 3.293359375, "loss/jsd": 0.0, "loss/logits": 0.16922438573092222, "step": 30860 }, { "epoch": 0.77175, "grad_norm": 30.0, "grad_norm_var": 2.1455729166666666, "learning_rate": 0.0001, "loss": 7.3205, "loss/crossentropy": 2.2089149236679075, "loss/hidden": 3.340625, "loss/jsd": 0.0, "loss/logits": 0.19413873814046384, "step": 30870 }, { "epoch": 0.772, "grad_norm": 26.125, "grad_norm_var": 3.0122395833333333, "learning_rate": 0.0001, "loss": 7.2108, "loss/crossentropy": 2.0838850632309915, "loss/hidden": 3.22265625, "loss/jsd": 0.0, "loss/logits": 0.1679495433345437, "step": 30880 }, { "epoch": 0.77225, "grad_norm": 31.0, "grad_norm_var": 4.1375, "learning_rate": 0.0001, "loss": 7.1952, "loss/crossentropy": 2.0687290251255037, "loss/hidden": 3.387890625, "loss/jsd": 0.0, "loss/logits": 0.17775915022939442, "step": 30890 }, { "epoch": 0.7725, "grad_norm": 28.0, "grad_norm_var": 4.011393229166667, "learning_rate": 0.0001, "loss": 7.2563, "loss/crossentropy": 1.9918573498725891, "loss/hidden": 3.315234375, "loss/jsd": 0.0, "loss/logits": 0.17511531990021467, "step": 30900 }, { "epoch": 0.77275, "grad_norm": 30.0, "grad_norm_var": 2.5603515625, "learning_rate": 0.0001, "loss": 7.2497, "loss/crossentropy": 1.9922025822103024, "loss/hidden": 3.43203125, "loss/jsd": 0.0, "loss/logits": 0.18127510212361814, "step": 30910 }, { "epoch": 0.773, "grad_norm": 29.5, "grad_norm_var": 1.7614583333333333, "learning_rate": 0.0001, "loss": 7.2854, "loss/crossentropy": 2.0986859157681463, "loss/hidden": 3.355859375, "loss/jsd": 0.0, "loss/logits": 0.1825839588418603, "step": 30920 }, { "epoch": 0.77325, "grad_norm": 32.75, "grad_norm_var": 5.251822916666667, "learning_rate": 0.0001, "loss": 7.2091, "loss/crossentropy": 1.9582366243004798, "loss/hidden": 3.43125, "loss/jsd": 0.0, "loss/logits": 0.1809095237404108, "step": 30930 }, { "epoch": 0.7735, "grad_norm": 31.5, "grad_norm_var": 2.8372395833333335, "learning_rate": 0.0001, "loss": 7.2826, "loss/crossentropy": 1.9070976704359055, "loss/hidden": 3.349609375, "loss/jsd": 0.0, "loss/logits": 0.1710755567997694, "step": 30940 }, { "epoch": 0.77375, "grad_norm": 29.0, "grad_norm_var": 3.6020833333333333, "learning_rate": 0.0001, "loss": 7.2084, "loss/crossentropy": 2.0629549741744997, "loss/hidden": 3.369921875, "loss/jsd": 0.0, "loss/logits": 0.18181780502200126, "step": 30950 }, { "epoch": 0.774, "grad_norm": 33.5, "grad_norm_var": 4.3853515625, "learning_rate": 0.0001, "loss": 7.1774, "loss/crossentropy": 2.1738601446151735, "loss/hidden": 3.35, "loss/jsd": 0.0, "loss/logits": 0.2032660385593772, "step": 30960 }, { "epoch": 0.77425, "grad_norm": 32.25, "grad_norm_var": 2.38515625, "learning_rate": 0.0001, "loss": 7.317, "loss/crossentropy": 2.079986987262964, "loss/hidden": 3.43828125, "loss/jsd": 0.0, "loss/logits": 0.19429001584649086, "step": 30970 }, { "epoch": 0.7745, "grad_norm": 31.125, "grad_norm_var": 4.668684895833334, "learning_rate": 0.0001, "loss": 7.1493, "loss/crossentropy": 2.0519056364893915, "loss/hidden": 3.22265625, "loss/jsd": 0.0, "loss/logits": 0.16815223284065722, "step": 30980 }, { "epoch": 0.77475, "grad_norm": 28.375, "grad_norm_var": 5.291080729166667, "learning_rate": 0.0001, "loss": 7.2312, "loss/crossentropy": 2.052493926882744, "loss/hidden": 3.391796875, "loss/jsd": 0.0, "loss/logits": 0.18330379351973533, "step": 30990 }, { "epoch": 0.775, "grad_norm": 29.875, "grad_norm_var": 2.12265625, "learning_rate": 0.0001, "loss": 7.2823, "loss/crossentropy": 2.086025407910347, "loss/hidden": 3.294921875, "loss/jsd": 0.0, "loss/logits": 0.18335492983460427, "step": 31000 }, { "epoch": 0.77525, "grad_norm": 29.0, "grad_norm_var": 5.005989583333333, "learning_rate": 0.0001, "loss": 7.2367, "loss/crossentropy": 2.048542061448097, "loss/hidden": 3.364453125, "loss/jsd": 0.0, "loss/logits": 0.18725468441843987, "step": 31010 }, { "epoch": 0.7755, "grad_norm": 28.75, "grad_norm_var": 2.0184895833333334, "learning_rate": 0.0001, "loss": 7.3251, "loss/crossentropy": 2.036131452769041, "loss/hidden": 3.347265625, "loss/jsd": 0.0, "loss/logits": 0.1737860631197691, "step": 31020 }, { "epoch": 0.77575, "grad_norm": 31.75, "grad_norm_var": 1.3999348958333333, "learning_rate": 0.0001, "loss": 7.262, "loss/crossentropy": 2.017168144881725, "loss/hidden": 3.3203125, "loss/jsd": 0.0, "loss/logits": 0.167899782769382, "step": 31030 }, { "epoch": 0.776, "grad_norm": 32.25, "grad_norm_var": 3.342643229166667, "learning_rate": 0.0001, "loss": 7.1701, "loss/crossentropy": 2.019613781571388, "loss/hidden": 3.36953125, "loss/jsd": 0.0, "loss/logits": 0.19059567637741565, "step": 31040 }, { "epoch": 0.77625, "grad_norm": 31.125, "grad_norm_var": 3.4270833333333335, "learning_rate": 0.0001, "loss": 7.2972, "loss/crossentropy": 2.0828250303864477, "loss/hidden": 3.390234375, "loss/jsd": 0.0, "loss/logits": 0.18261822033673525, "step": 31050 }, { "epoch": 0.7765, "grad_norm": 29.75, "grad_norm_var": 2.8910807291666667, "learning_rate": 0.0001, "loss": 7.326, "loss/crossentropy": 2.0209526136517524, "loss/hidden": 3.322265625, "loss/jsd": 0.0, "loss/logits": 0.17059254441410304, "step": 31060 }, { "epoch": 0.77675, "grad_norm": 28.75, "grad_norm_var": 2.356705729166667, "learning_rate": 0.0001, "loss": 7.2019, "loss/crossentropy": 2.1125204801559447, "loss/hidden": 3.365234375, "loss/jsd": 0.0, "loss/logits": 0.17937722243368626, "step": 31070 }, { "epoch": 0.777, "grad_norm": 33.5, "grad_norm_var": 2.4181640625, "learning_rate": 0.0001, "loss": 7.1838, "loss/crossentropy": 2.2028726637363434, "loss/hidden": 3.256640625, "loss/jsd": 0.0, "loss/logits": 0.17989998534321786, "step": 31080 }, { "epoch": 0.77725, "grad_norm": 30.75, "grad_norm_var": 2.671875, "learning_rate": 0.0001, "loss": 7.1709, "loss/crossentropy": 2.1625898659229277, "loss/hidden": 3.390625, "loss/jsd": 0.0, "loss/logits": 0.19090434685349464, "step": 31090 }, { "epoch": 0.7775, "grad_norm": 28.875, "grad_norm_var": 2.36640625, "learning_rate": 0.0001, "loss": 7.1326, "loss/crossentropy": 2.036789299547672, "loss/hidden": 3.3421875, "loss/jsd": 0.0, "loss/logits": 0.17714376896619796, "step": 31100 }, { "epoch": 0.77775, "grad_norm": 31.75, "grad_norm_var": 11.40390625, "learning_rate": 0.0001, "loss": 7.1735, "loss/crossentropy": 1.9948045410215856, "loss/hidden": 3.24921875, "loss/jsd": 0.0, "loss/logits": 0.1798159122467041, "step": 31110 }, { "epoch": 0.778, "grad_norm": 34.5, "grad_norm_var": 4.034309895833333, "learning_rate": 0.0001, "loss": 7.2609, "loss/crossentropy": 2.1702212870121, "loss/hidden": 3.223828125, "loss/jsd": 0.0, "loss/logits": 0.17852376736700534, "step": 31120 }, { "epoch": 0.77825, "grad_norm": 31.625, "grad_norm_var": 4.676822916666667, "learning_rate": 0.0001, "loss": 7.3185, "loss/crossentropy": 2.0733341470360758, "loss/hidden": 3.31328125, "loss/jsd": 0.0, "loss/logits": 0.18980380473658442, "step": 31130 }, { "epoch": 0.7785, "grad_norm": 31.25, "grad_norm_var": 4.430143229166666, "learning_rate": 0.0001, "loss": 7.1541, "loss/crossentropy": 1.9170797616243362, "loss/hidden": 3.327734375, "loss/jsd": 0.0, "loss/logits": 0.1943414082750678, "step": 31140 }, { "epoch": 0.77875, "grad_norm": 29.125, "grad_norm_var": 14.3228515625, "learning_rate": 0.0001, "loss": 7.0941, "loss/crossentropy": 2.0785103261470796, "loss/hidden": 3.370703125, "loss/jsd": 0.0, "loss/logits": 0.2052849479019642, "step": 31150 }, { "epoch": 0.779, "grad_norm": 28.625, "grad_norm_var": 4.9869140625, "learning_rate": 0.0001, "loss": 7.3521, "loss/crossentropy": 2.0296490490436554, "loss/hidden": 3.391796875, "loss/jsd": 0.0, "loss/logits": 0.1873609971255064, "step": 31160 }, { "epoch": 0.77925, "grad_norm": 29.75, "grad_norm_var": 3.9150390625, "learning_rate": 0.0001, "loss": 7.2165, "loss/crossentropy": 2.070235808193684, "loss/hidden": 3.379296875, "loss/jsd": 0.0, "loss/logits": 0.18882376216351987, "step": 31170 }, { "epoch": 0.7795, "grad_norm": 28.0, "grad_norm_var": 4.44765625, "learning_rate": 0.0001, "loss": 7.2705, "loss/crossentropy": 1.8607801221311093, "loss/hidden": 3.296875, "loss/jsd": 0.0, "loss/logits": 0.16972522204741836, "step": 31180 }, { "epoch": 0.77975, "grad_norm": 32.5, "grad_norm_var": 5.82265625, "learning_rate": 0.0001, "loss": 7.3687, "loss/crossentropy": 2.151284599304199, "loss/hidden": 3.364453125, "loss/jsd": 0.0, "loss/logits": 0.1864160757511854, "step": 31190 }, { "epoch": 0.78, "grad_norm": 31.25, "grad_norm_var": 3.4530598958333334, "learning_rate": 0.0001, "loss": 7.2288, "loss/crossentropy": 2.014324263483286, "loss/hidden": 3.339453125, "loss/jsd": 0.0, "loss/logits": 0.18028491344302894, "step": 31200 }, { "epoch": 0.78025, "grad_norm": 33.25, "grad_norm_var": 2.230208333333333, "learning_rate": 0.0001, "loss": 7.2867, "loss/crossentropy": 2.024941012263298, "loss/hidden": 3.384375, "loss/jsd": 0.0, "loss/logits": 0.1874180819839239, "step": 31210 }, { "epoch": 0.7805, "grad_norm": 30.25, "grad_norm_var": 2.124739583333333, "learning_rate": 0.0001, "loss": 7.3255, "loss/crossentropy": 2.0621088325977324, "loss/hidden": 3.3125, "loss/jsd": 0.0, "loss/logits": 0.18965848479419947, "step": 31220 }, { "epoch": 0.78075, "grad_norm": 32.0, "grad_norm_var": 2.1369140625, "learning_rate": 0.0001, "loss": 7.1658, "loss/crossentropy": 2.0059763975441456, "loss/hidden": 3.42578125, "loss/jsd": 0.0, "loss/logits": 0.20813378430902957, "step": 31230 }, { "epoch": 0.781, "grad_norm": 32.25, "grad_norm_var": 3.903125, "learning_rate": 0.0001, "loss": 7.3986, "loss/crossentropy": 2.168729566037655, "loss/hidden": 3.34296875, "loss/jsd": 0.0, "loss/logits": 0.19630307257175444, "step": 31240 }, { "epoch": 0.78125, "grad_norm": 30.375, "grad_norm_var": 1.8056640625, "learning_rate": 0.0001, "loss": 7.3344, "loss/crossentropy": 2.1517349526286127, "loss/hidden": 3.301171875, "loss/jsd": 0.0, "loss/logits": 0.18015162888914346, "step": 31250 }, { "epoch": 0.7815, "grad_norm": 31.625, "grad_norm_var": 14.411458333333334, "learning_rate": 0.0001, "loss": 7.2129, "loss/crossentropy": 2.06531667560339, "loss/hidden": 3.431640625, "loss/jsd": 0.0, "loss/logits": 0.19317530654370785, "step": 31260 }, { "epoch": 0.78175, "grad_norm": 38.25, "grad_norm_var": 7.57265625, "learning_rate": 0.0001, "loss": 7.3526, "loss/crossentropy": 2.1732255190610887, "loss/hidden": 3.3203125, "loss/jsd": 0.0, "loss/logits": 0.19884103927761315, "step": 31270 }, { "epoch": 0.782, "grad_norm": 30.5, "grad_norm_var": 8.1947265625, "learning_rate": 0.0001, "loss": 7.2598, "loss/crossentropy": 1.9770694464445113, "loss/hidden": 3.264453125, "loss/jsd": 0.0, "loss/logits": 0.18086720816791058, "step": 31280 }, { "epoch": 0.78225, "grad_norm": 30.5, "grad_norm_var": 2.708268229166667, "learning_rate": 0.0001, "loss": 7.3301, "loss/crossentropy": 2.0416681550443174, "loss/hidden": 3.30390625, "loss/jsd": 0.0, "loss/logits": 0.17893482595682145, "step": 31290 }, { "epoch": 0.7825, "grad_norm": 32.75, "grad_norm_var": 8.041666666666666, "learning_rate": 0.0001, "loss": 7.2272, "loss/crossentropy": 1.9394095972180367, "loss/hidden": 3.362890625, "loss/jsd": 0.0, "loss/logits": 0.1878746159374714, "step": 31300 }, { "epoch": 0.78275, "grad_norm": 36.5, "grad_norm_var": 8.885872395833333, "learning_rate": 0.0001, "loss": 7.2945, "loss/crossentropy": 2.1827884405851363, "loss/hidden": 3.394921875, "loss/jsd": 0.0, "loss/logits": 0.1965128371492028, "step": 31310 }, { "epoch": 0.783, "grad_norm": 29.625, "grad_norm_var": 4.603125, "learning_rate": 0.0001, "loss": 7.2984, "loss/crossentropy": 2.0775409430265426, "loss/hidden": 3.24140625, "loss/jsd": 0.0, "loss/logits": 0.17661921344697476, "step": 31320 }, { "epoch": 0.78325, "grad_norm": 30.625, "grad_norm_var": 8.294205729166666, "learning_rate": 0.0001, "loss": 7.1817, "loss/crossentropy": 2.049132463335991, "loss/hidden": 3.316796875, "loss/jsd": 0.0, "loss/logits": 0.1787800071761012, "step": 31330 }, { "epoch": 0.7835, "grad_norm": 32.0, "grad_norm_var": 4.706184895833333, "learning_rate": 0.0001, "loss": 7.3231, "loss/crossentropy": 2.022278678417206, "loss/hidden": 3.328125, "loss/jsd": 0.0, "loss/logits": 0.19319646768271923, "step": 31340 }, { "epoch": 0.78375, "grad_norm": 28.875, "grad_norm_var": 3.845572916666667, "learning_rate": 0.0001, "loss": 7.3237, "loss/crossentropy": 1.9787674874067307, "loss/hidden": 3.3609375, "loss/jsd": 0.0, "loss/logits": 0.18886952772736548, "step": 31350 }, { "epoch": 0.784, "grad_norm": 29.5, "grad_norm_var": 4.2744140625, "learning_rate": 0.0001, "loss": 7.3666, "loss/crossentropy": 2.1626318007707597, "loss/hidden": 3.330078125, "loss/jsd": 0.0, "loss/logits": 0.19823330659419297, "step": 31360 }, { "epoch": 0.78425, "grad_norm": 27.75, "grad_norm_var": 4.5025390625, "learning_rate": 0.0001, "loss": 7.2335, "loss/crossentropy": 2.2147083409130572, "loss/hidden": 3.284765625, "loss/jsd": 0.0, "loss/logits": 0.18974209930747749, "step": 31370 }, { "epoch": 0.7845, "grad_norm": 29.75, "grad_norm_var": 5.703059895833333, "learning_rate": 0.0001, "loss": 7.2754, "loss/crossentropy": 1.9638444483280182, "loss/hidden": 3.210546875, "loss/jsd": 0.0, "loss/logits": 0.1664100494235754, "step": 31380 }, { "epoch": 0.78475, "grad_norm": 28.625, "grad_norm_var": 5.27265625, "learning_rate": 0.0001, "loss": 7.2791, "loss/crossentropy": 2.1053778350353243, "loss/hidden": 3.345703125, "loss/jsd": 0.0, "loss/logits": 0.18106228299438953, "step": 31390 }, { "epoch": 0.785, "grad_norm": 30.25, "grad_norm_var": 56.23515625, "learning_rate": 0.0001, "loss": 7.3181, "loss/crossentropy": 2.079754628241062, "loss/hidden": 3.3890625, "loss/jsd": 0.0, "loss/logits": 0.19201560821384192, "step": 31400 }, { "epoch": 0.78525, "grad_norm": 30.5, "grad_norm_var": 31.951041666666665, "learning_rate": 0.0001, "loss": 7.2104, "loss/crossentropy": 2.1266677528619766, "loss/hidden": 3.327734375, "loss/jsd": 0.0, "loss/logits": 0.18508619628846645, "step": 31410 }, { "epoch": 0.7855, "grad_norm": 32.0, "grad_norm_var": 35.484309895833334, "learning_rate": 0.0001, "loss": 7.0706, "loss/crossentropy": 1.9031139247119426, "loss/hidden": 3.255078125, "loss/jsd": 0.0, "loss/logits": 0.16362121552228928, "step": 31420 }, { "epoch": 0.78575, "grad_norm": 31.125, "grad_norm_var": 10.720833333333333, "learning_rate": 0.0001, "loss": 7.1675, "loss/crossentropy": 2.0395915627479555, "loss/hidden": 3.315625, "loss/jsd": 0.0, "loss/logits": 0.17914918782189487, "step": 31430 }, { "epoch": 0.786, "grad_norm": 27.375, "grad_norm_var": 15.347330729166666, "learning_rate": 0.0001, "loss": 7.2693, "loss/crossentropy": 2.0384490221738814, "loss/hidden": 3.349609375, "loss/jsd": 0.0, "loss/logits": 0.17985808495432137, "step": 31440 }, { "epoch": 0.78625, "grad_norm": 33.0, "grad_norm_var": 10.926822916666667, "learning_rate": 0.0001, "loss": 7.1775, "loss/crossentropy": 2.0808909833431244, "loss/hidden": 3.24609375, "loss/jsd": 0.0, "loss/logits": 0.17647454431280493, "step": 31450 }, { "epoch": 0.7865, "grad_norm": 31.875, "grad_norm_var": 3.29375, "learning_rate": 0.0001, "loss": 7.2395, "loss/crossentropy": 2.2060162991285326, "loss/hidden": 3.312109375, "loss/jsd": 0.0, "loss/logits": 0.18310822043567895, "step": 31460 }, { "epoch": 0.78675, "grad_norm": 28.75, "grad_norm_var": 372.24140625, "learning_rate": 0.0001, "loss": 7.2611, "loss/crossentropy": 1.9570839531719684, "loss/hidden": 3.308203125, "loss/jsd": 0.0, "loss/logits": 0.1838856378570199, "step": 31470 }, { "epoch": 0.787, "grad_norm": 28.375, "grad_norm_var": 5.662955729166667, "learning_rate": 0.0001, "loss": 7.2132, "loss/crossentropy": 1.8940647289156913, "loss/hidden": 3.36328125, "loss/jsd": 0.0, "loss/logits": 0.18987012309953571, "step": 31480 }, { "epoch": 0.78725, "grad_norm": 28.875, "grad_norm_var": 3.489518229166667, "learning_rate": 0.0001, "loss": 7.2335, "loss/crossentropy": 2.2421848446130754, "loss/hidden": 3.32109375, "loss/jsd": 0.0, "loss/logits": 0.18429996352642775, "step": 31490 }, { "epoch": 0.7875, "grad_norm": 29.625, "grad_norm_var": 4.330989583333333, "learning_rate": 0.0001, "loss": 7.3104, "loss/crossentropy": 2.0037948578596114, "loss/hidden": 3.36328125, "loss/jsd": 0.0, "loss/logits": 0.18187961634248495, "step": 31500 }, { "epoch": 0.78775, "grad_norm": 29.375, "grad_norm_var": 7.914583333333334, "learning_rate": 0.0001, "loss": 7.2202, "loss/crossentropy": 1.9032418720424176, "loss/hidden": 3.430078125, "loss/jsd": 0.0, "loss/logits": 0.1838343466632068, "step": 31510 }, { "epoch": 0.788, "grad_norm": 27.375, "grad_norm_var": 4.1603515625, "learning_rate": 0.0001, "loss": 7.2262, "loss/crossentropy": 2.0772057265043258, "loss/hidden": 3.3734375, "loss/jsd": 0.0, "loss/logits": 0.19711360968649388, "step": 31520 }, { "epoch": 0.78825, "grad_norm": 35.5, "grad_norm_var": 9.198372395833333, "learning_rate": 0.0001, "loss": 7.3303, "loss/crossentropy": 2.2158702582120897, "loss/hidden": 3.263671875, "loss/jsd": 0.0, "loss/logits": 0.18437313195317984, "step": 31530 }, { "epoch": 0.7885, "grad_norm": 35.75, "grad_norm_var": 7.027083333333334, "learning_rate": 0.0001, "loss": 7.302, "loss/crossentropy": 2.0729110084474085, "loss/hidden": 3.371484375, "loss/jsd": 0.0, "loss/logits": 0.19737910926342012, "step": 31540 }, { "epoch": 0.78875, "grad_norm": 32.25, "grad_norm_var": 6.404166666666667, "learning_rate": 0.0001, "loss": 7.2099, "loss/crossentropy": 1.9750752970576286, "loss/hidden": 3.21640625, "loss/jsd": 0.0, "loss/logits": 0.17290026945993303, "step": 31550 }, { "epoch": 0.789, "grad_norm": 29.75, "grad_norm_var": 3.4629557291666666, "learning_rate": 0.0001, "loss": 7.2183, "loss/crossentropy": 2.0953447185456753, "loss/hidden": 3.398828125, "loss/jsd": 0.0, "loss/logits": 0.1804077338427305, "step": 31560 }, { "epoch": 0.78925, "grad_norm": 31.375, "grad_norm_var": 3.66015625, "learning_rate": 0.0001, "loss": 7.2443, "loss/crossentropy": 1.9566784024238586, "loss/hidden": 3.40390625, "loss/jsd": 0.0, "loss/logits": 0.18815564569085835, "step": 31570 }, { "epoch": 0.7895, "grad_norm": 33.75, "grad_norm_var": 9.175, "learning_rate": 0.0001, "loss": 7.3692, "loss/crossentropy": 2.2338188737630844, "loss/hidden": 3.328515625, "loss/jsd": 0.0, "loss/logits": 0.18873065207153558, "step": 31580 }, { "epoch": 0.78975, "grad_norm": 29.25, "grad_norm_var": 9.987239583333333, "learning_rate": 0.0001, "loss": 7.2562, "loss/crossentropy": 2.080914391577244, "loss/hidden": 3.29296875, "loss/jsd": 0.0, "loss/logits": 0.17150079626590015, "step": 31590 }, { "epoch": 0.79, "grad_norm": 29.625, "grad_norm_var": 2.3212890625, "learning_rate": 0.0001, "loss": 7.2378, "loss/crossentropy": 2.064169317483902, "loss/hidden": 3.45390625, "loss/jsd": 0.0, "loss/logits": 0.20276217330247165, "step": 31600 }, { "epoch": 0.79025, "grad_norm": 32.0, "grad_norm_var": 2.957291666666667, "learning_rate": 0.0001, "loss": 7.3602, "loss/crossentropy": 2.1499217487871647, "loss/hidden": 3.398046875, "loss/jsd": 0.0, "loss/logits": 0.18527807723730802, "step": 31610 }, { "epoch": 0.7905, "grad_norm": 29.875, "grad_norm_var": 3.027083333333333, "learning_rate": 0.0001, "loss": 7.3215, "loss/crossentropy": 2.1228356897830962, "loss/hidden": 3.25703125, "loss/jsd": 0.0, "loss/logits": 0.17830363363027574, "step": 31620 }, { "epoch": 0.79075, "grad_norm": 30.75, "grad_norm_var": 3.4160807291666666, "learning_rate": 0.0001, "loss": 7.2688, "loss/crossentropy": 2.0881614208221437, "loss/hidden": 3.258984375, "loss/jsd": 0.0, "loss/logits": 0.17270825430750847, "step": 31630 }, { "epoch": 0.791, "grad_norm": 28.625, "grad_norm_var": 3.7525390625, "learning_rate": 0.0001, "loss": 7.2279, "loss/crossentropy": 1.9683130264282227, "loss/hidden": 3.426953125, "loss/jsd": 0.0, "loss/logits": 0.17459874097257852, "step": 31640 }, { "epoch": 0.79125, "grad_norm": 29.0, "grad_norm_var": 3.24375, "learning_rate": 0.0001, "loss": 7.2418, "loss/crossentropy": 1.9514197140932084, "loss/hidden": 3.334765625, "loss/jsd": 0.0, "loss/logits": 0.18445694111287594, "step": 31650 }, { "epoch": 0.7915, "grad_norm": 32.5, "grad_norm_var": 4.755143229166666, "learning_rate": 0.0001, "loss": 7.1507, "loss/crossentropy": 2.079793556034565, "loss/hidden": 3.2609375, "loss/jsd": 0.0, "loss/logits": 0.17297195587307215, "step": 31660 }, { "epoch": 0.79175, "grad_norm": 33.0, "grad_norm_var": 4.960872395833333, "learning_rate": 0.0001, "loss": 7.4178, "loss/crossentropy": 2.0618962317705156, "loss/hidden": 3.32421875, "loss/jsd": 0.0, "loss/logits": 0.19019667170941829, "step": 31670 }, { "epoch": 0.792, "grad_norm": 30.625, "grad_norm_var": 5.7509765625, "learning_rate": 0.0001, "loss": 7.2239, "loss/crossentropy": 1.9956995896995067, "loss/hidden": 3.40234375, "loss/jsd": 0.0, "loss/logits": 0.17896303534507751, "step": 31680 }, { "epoch": 0.79225, "grad_norm": 30.0, "grad_norm_var": 3.070572916666667, "learning_rate": 0.0001, "loss": 7.1065, "loss/crossentropy": 2.023432979732752, "loss/hidden": 3.29453125, "loss/jsd": 0.0, "loss/logits": 0.1705683045089245, "step": 31690 }, { "epoch": 0.7925, "grad_norm": 27.125, "grad_norm_var": 2.5697265625, "learning_rate": 0.0001, "loss": 7.1217, "loss/crossentropy": 1.946426709741354, "loss/hidden": 3.348046875, "loss/jsd": 0.0, "loss/logits": 0.17420749654993414, "step": 31700 }, { "epoch": 0.79275, "grad_norm": 30.25, "grad_norm_var": 2.3197265625, "learning_rate": 0.0001, "loss": 7.2364, "loss/crossentropy": 2.0409046217799185, "loss/hidden": 3.396875, "loss/jsd": 0.0, "loss/logits": 0.18621115908026695, "step": 31710 }, { "epoch": 0.793, "grad_norm": 30.375, "grad_norm_var": 2.3207682291666667, "learning_rate": 0.0001, "loss": 7.2649, "loss/crossentropy": 2.114277198910713, "loss/hidden": 3.3, "loss/jsd": 0.0, "loss/logits": 0.18227699343115092, "step": 31720 }, { "epoch": 0.79325, "grad_norm": 29.5, "grad_norm_var": 2.3583333333333334, "learning_rate": 0.0001, "loss": 7.1856, "loss/crossentropy": 1.9716971188783645, "loss/hidden": 3.4265625, "loss/jsd": 0.0, "loss/logits": 0.1855311430990696, "step": 31730 }, { "epoch": 0.7935, "grad_norm": 29.75, "grad_norm_var": 1.7712890625, "learning_rate": 0.0001, "loss": 7.2383, "loss/crossentropy": 2.037404325604439, "loss/hidden": 3.34609375, "loss/jsd": 0.0, "loss/logits": 0.1694024408236146, "step": 31740 }, { "epoch": 0.79375, "grad_norm": 31.25, "grad_norm_var": 2.5403116401424246e+18, "learning_rate": 0.0001, "loss": 7.2469, "loss/crossentropy": 1.9700333438813686, "loss/hidden": 3.295703125, "loss/jsd": 0.0, "loss/logits": 0.1846833111718297, "step": 31750 }, { "epoch": 0.794, "grad_norm": 30.75, "grad_norm_var": 2.5403116394849674e+18, "learning_rate": 0.0001, "loss": 7.1773, "loss/crossentropy": 2.212307733297348, "loss/hidden": 3.373046875, "loss/jsd": 0.0, "loss/logits": 0.18856476843357087, "step": 31760 }, { "epoch": 0.79425, "grad_norm": 41.25, "grad_norm_var": 14.876822916666667, "learning_rate": 0.0001, "loss": 7.256, "loss/crossentropy": 2.0969568237662317, "loss/hidden": 3.275390625, "loss/jsd": 0.0, "loss/logits": 0.179645280726254, "step": 31770 }, { "epoch": 0.7945, "grad_norm": 28.875, "grad_norm_var": 10.3712890625, "learning_rate": 0.0001, "loss": 7.1819, "loss/crossentropy": 1.9347251377999783, "loss/hidden": 3.429296875, "loss/jsd": 0.0, "loss/logits": 0.18520953366532922, "step": 31780 }, { "epoch": 0.79475, "grad_norm": 29.75, "grad_norm_var": 2.5327473958333333, "learning_rate": 0.0001, "loss": 7.2494, "loss/crossentropy": 2.0052943006157875, "loss/hidden": 3.30390625, "loss/jsd": 0.0, "loss/logits": 0.17678212691098452, "step": 31790 }, { "epoch": 0.795, "grad_norm": 33.25, "grad_norm_var": 2.6518229166666667, "learning_rate": 0.0001, "loss": 7.251, "loss/crossentropy": 1.9200729496777058, "loss/hidden": 3.412890625, "loss/jsd": 0.0, "loss/logits": 0.1845573834143579, "step": 31800 }, { "epoch": 0.79525, "grad_norm": 29.875, "grad_norm_var": 6.238541666666666, "learning_rate": 0.0001, "loss": 7.3009, "loss/crossentropy": 1.982697883248329, "loss/hidden": 3.38671875, "loss/jsd": 0.0, "loss/logits": 0.19470857754349707, "step": 31810 }, { "epoch": 0.7955, "grad_norm": 30.625, "grad_norm_var": 6.095768229166667, "learning_rate": 0.0001, "loss": 7.2466, "loss/crossentropy": 1.9890022471547126, "loss/hidden": 3.39609375, "loss/jsd": 0.0, "loss/logits": 0.1903789708390832, "step": 31820 }, { "epoch": 0.79575, "grad_norm": 31.875, "grad_norm_var": 2.4806640625, "learning_rate": 0.0001, "loss": 7.2873, "loss/crossentropy": 1.9891909763216973, "loss/hidden": 3.441796875, "loss/jsd": 0.0, "loss/logits": 0.1799360180273652, "step": 31830 }, { "epoch": 0.796, "grad_norm": 30.5, "grad_norm_var": 1.8962890625, "learning_rate": 0.0001, "loss": 7.237, "loss/crossentropy": 2.1192200325429438, "loss/hidden": 3.292578125, "loss/jsd": 0.0, "loss/logits": 0.18091769460588694, "step": 31840 }, { "epoch": 0.79625, "grad_norm": 28.75, "grad_norm_var": 1.8872395833333333, "learning_rate": 0.0001, "loss": 7.1984, "loss/crossentropy": 2.197053752094507, "loss/hidden": 3.341015625, "loss/jsd": 0.0, "loss/logits": 0.19096684809774161, "step": 31850 }, { "epoch": 0.7965, "grad_norm": 34.75, "grad_norm_var": 1.8240281960738632e+18, "learning_rate": 0.0001, "loss": 7.3018, "loss/crossentropy": 1.9654372721910476, "loss/hidden": 3.380859375, "loss/jsd": 0.0, "loss/logits": 0.18191756587475538, "step": 31860 }, { "epoch": 0.79675, "grad_norm": 30.375, "grad_norm_var": 4.390625, "learning_rate": 0.0001, "loss": 7.1343, "loss/crossentropy": 2.1827359586954116, "loss/hidden": 3.388671875, "loss/jsd": 0.0, "loss/logits": 0.19493103586137295, "step": 31870 }, { "epoch": 0.797, "grad_norm": 35.0, "grad_norm_var": 4.96875, "learning_rate": 0.0001, "loss": 7.2734, "loss/crossentropy": 2.0850317165255547, "loss/hidden": 3.4046875, "loss/jsd": 0.0, "loss/logits": 0.1965682774782181, "step": 31880 }, { "epoch": 0.79725, "grad_norm": 29.0, "grad_norm_var": 4.255989583333333, "learning_rate": 0.0001, "loss": 7.2898, "loss/crossentropy": 2.078572702407837, "loss/hidden": 3.38984375, "loss/jsd": 0.0, "loss/logits": 0.19365447759628296, "step": 31890 }, { "epoch": 0.7975, "grad_norm": 29.875, "grad_norm_var": 5.2650390625, "learning_rate": 0.0001, "loss": 7.3819, "loss/crossentropy": 2.0934070348739624, "loss/hidden": 3.403515625, "loss/jsd": 0.0, "loss/logits": 0.17799469958990813, "step": 31900 }, { "epoch": 0.79775, "grad_norm": 30.0, "grad_norm_var": 3.856705729166667, "learning_rate": 0.0001, "loss": 7.2383, "loss/crossentropy": 1.9600264072418212, "loss/hidden": 3.501171875, "loss/jsd": 0.0, "loss/logits": 0.1934324972331524, "step": 31910 }, { "epoch": 0.798, "grad_norm": 30.125, "grad_norm_var": 2.471809895833333, "learning_rate": 0.0001, "loss": 7.2629, "loss/crossentropy": 2.2288677148520946, "loss/hidden": 3.417578125, "loss/jsd": 0.0, "loss/logits": 0.20668185902759434, "step": 31920 }, { "epoch": 0.79825, "grad_norm": 32.75, "grad_norm_var": 6.603125, "learning_rate": 0.0001, "loss": 7.2431, "loss/crossentropy": 2.189570128917694, "loss/hidden": 3.434765625, "loss/jsd": 0.0, "loss/logits": 0.19532648399472236, "step": 31930 }, { "epoch": 0.7985, "grad_norm": 34.0, "grad_norm_var": 10.4603515625, "learning_rate": 0.0001, "loss": 7.246, "loss/crossentropy": 2.052780894935131, "loss/hidden": 3.2640625, "loss/jsd": 0.0, "loss/logits": 0.18245863653719424, "step": 31940 }, { "epoch": 0.79875, "grad_norm": 30.25, "grad_norm_var": 11.5791015625, "learning_rate": 0.0001, "loss": 7.2474, "loss/crossentropy": 2.1735198058187963, "loss/hidden": 3.386328125, "loss/jsd": 0.0, "loss/logits": 0.18904183022677898, "step": 31950 }, { "epoch": 0.799, "grad_norm": 29.875, "grad_norm_var": 6.057291666666667, "learning_rate": 0.0001, "loss": 7.2311, "loss/crossentropy": 1.9964329220354557, "loss/hidden": 3.341796875, "loss/jsd": 0.0, "loss/logits": 0.17117326706647873, "step": 31960 }, { "epoch": 0.79925, "grad_norm": 28.875, "grad_norm_var": 7.140625, "learning_rate": 0.0001, "loss": 7.2959, "loss/crossentropy": 2.0637815829366444, "loss/hidden": 3.348046875, "loss/jsd": 0.0, "loss/logits": 0.1760326312389225, "step": 31970 }, { "epoch": 0.7995, "grad_norm": 31.875, "grad_norm_var": 5.26015625, "learning_rate": 0.0001, "loss": 7.2168, "loss/crossentropy": 1.9845145612955093, "loss/hidden": 3.405078125, "loss/jsd": 0.0, "loss/logits": 0.1851344184949994, "step": 31980 }, { "epoch": 0.79975, "grad_norm": 31.5, "grad_norm_var": 3.655989583333333, "learning_rate": 0.0001, "loss": 7.2525, "loss/crossentropy": 2.039809539914131, "loss/hidden": 3.39765625, "loss/jsd": 0.0, "loss/logits": 0.17651782967150212, "step": 31990 }, { "epoch": 0.8, "grad_norm": 32.0, "grad_norm_var": 5.589322916666666, "learning_rate": 0.0001, "loss": 7.2411, "loss/crossentropy": 2.051901635527611, "loss/hidden": 3.36171875, "loss/jsd": 0.0, "loss/logits": 0.17814793512225152, "step": 32000 }, { "epoch": 0.80025, "grad_norm": 30.375, "grad_norm_var": 2.0666015625, "learning_rate": 0.0001, "loss": 7.2601, "loss/crossentropy": 2.167706046998501, "loss/hidden": 3.4578125, "loss/jsd": 0.0, "loss/logits": 0.20020014122128488, "step": 32010 }, { "epoch": 0.8005, "grad_norm": 30.875, "grad_norm_var": 2.7509765625, "learning_rate": 0.0001, "loss": 7.2548, "loss/crossentropy": 2.031809562444687, "loss/hidden": 3.4171875, "loss/jsd": 0.0, "loss/logits": 0.1915106700733304, "step": 32020 }, { "epoch": 0.80075, "grad_norm": 30.75, "grad_norm_var": 3.5479166666666666, "learning_rate": 0.0001, "loss": 7.3371, "loss/crossentropy": 2.151665323972702, "loss/hidden": 3.242578125, "loss/jsd": 0.0, "loss/logits": 0.17666382808238268, "step": 32030 }, { "epoch": 0.801, "grad_norm": 34.0, "grad_norm_var": 3.2744140625, "learning_rate": 0.0001, "loss": 7.2745, "loss/crossentropy": 2.155677234381437, "loss/hidden": 3.317578125, "loss/jsd": 0.0, "loss/logits": 0.1825503976084292, "step": 32040 }, { "epoch": 0.80125, "grad_norm": 29.375, "grad_norm_var": 4.258333333333334, "learning_rate": 0.0001, "loss": 7.2659, "loss/crossentropy": 2.0210466548800468, "loss/hidden": 3.380859375, "loss/jsd": 0.0, "loss/logits": 0.18113178480416536, "step": 32050 }, { "epoch": 0.8015, "grad_norm": 28.75, "grad_norm_var": 4.313997395833334, "learning_rate": 0.0001, "loss": 7.1235, "loss/crossentropy": 1.9424000725150108, "loss/hidden": 3.414453125, "loss/jsd": 0.0, "loss/logits": 0.1696411618962884, "step": 32060 }, { "epoch": 0.80175, "grad_norm": 30.375, "grad_norm_var": 6.124934895833333, "learning_rate": 0.0001, "loss": 7.2674, "loss/crossentropy": 2.0733315840363504, "loss/hidden": 3.38046875, "loss/jsd": 0.0, "loss/logits": 0.18977922163903713, "step": 32070 }, { "epoch": 0.802, "grad_norm": 29.25, "grad_norm_var": 7.609309895833333, "learning_rate": 0.0001, "loss": 7.259, "loss/crossentropy": 2.227187469601631, "loss/hidden": 3.248828125, "loss/jsd": 0.0, "loss/logits": 0.17911691386252643, "step": 32080 }, { "epoch": 0.80225, "grad_norm": 30.125, "grad_norm_var": 3.6754557291666665, "learning_rate": 0.0001, "loss": 7.234, "loss/crossentropy": 2.087716729938984, "loss/hidden": 3.321484375, "loss/jsd": 0.0, "loss/logits": 0.18047652654349805, "step": 32090 }, { "epoch": 0.8025, "grad_norm": 30.0, "grad_norm_var": 3.0400390625, "learning_rate": 0.0001, "loss": 7.4021, "loss/crossentropy": 2.131810285151005, "loss/hidden": 3.276953125, "loss/jsd": 0.0, "loss/logits": 0.17247401773929597, "step": 32100 }, { "epoch": 0.80275, "grad_norm": 29.375, "grad_norm_var": 3.55390625, "learning_rate": 0.0001, "loss": 7.3817, "loss/crossentropy": 2.1549403719604014, "loss/hidden": 3.381640625, "loss/jsd": 0.0, "loss/logits": 0.18837472070008515, "step": 32110 }, { "epoch": 0.803, "grad_norm": 31.125, "grad_norm_var": 1.9442057291666666, "learning_rate": 0.0001, "loss": 7.1035, "loss/crossentropy": 1.9505949556827544, "loss/hidden": 3.394140625, "loss/jsd": 0.0, "loss/logits": 0.18204545034095646, "step": 32120 }, { "epoch": 0.80325, "grad_norm": 33.75, "grad_norm_var": 2.92890625, "learning_rate": 0.0001, "loss": 7.2371, "loss/crossentropy": 2.1348301008343697, "loss/hidden": 3.394921875, "loss/jsd": 0.0, "loss/logits": 0.18901300579309463, "step": 32130 }, { "epoch": 0.8035, "grad_norm": 33.25, "grad_norm_var": 3.1728515625, "learning_rate": 0.0001, "loss": 7.2579, "loss/crossentropy": 1.9484988793730735, "loss/hidden": 3.271484375, "loss/jsd": 0.0, "loss/logits": 0.16889106966555117, "step": 32140 }, { "epoch": 0.80375, "grad_norm": 31.375, "grad_norm_var": 2.8393229166666667, "learning_rate": 0.0001, "loss": 7.2884, "loss/crossentropy": 1.9826452344655991, "loss/hidden": 3.376953125, "loss/jsd": 0.0, "loss/logits": 0.1743983631953597, "step": 32150 }, { "epoch": 0.804, "grad_norm": 31.0, "grad_norm_var": 3.5322916666666666, "learning_rate": 0.0001, "loss": 7.1942, "loss/crossentropy": 1.9426303870975972, "loss/hidden": 3.42890625, "loss/jsd": 0.0, "loss/logits": 0.1772203067317605, "step": 32160 }, { "epoch": 0.80425, "grad_norm": 29.75, "grad_norm_var": 4.874934895833333, "learning_rate": 0.0001, "loss": 7.2248, "loss/crossentropy": 1.870173018425703, "loss/hidden": 3.34453125, "loss/jsd": 0.0, "loss/logits": 0.1688270630314946, "step": 32170 }, { "epoch": 0.8045, "grad_norm": 31.25, "grad_norm_var": 3.5759765625, "learning_rate": 0.0001, "loss": 7.1157, "loss/crossentropy": 1.9939643263816833, "loss/hidden": 3.325, "loss/jsd": 0.0, "loss/logits": 0.17504618484526874, "step": 32180 }, { "epoch": 0.80475, "grad_norm": 31.5, "grad_norm_var": 2.2587890625, "learning_rate": 0.0001, "loss": 7.2281, "loss/crossentropy": 2.026793968677521, "loss/hidden": 3.3359375, "loss/jsd": 0.0, "loss/logits": 0.17457820419222117, "step": 32190 }, { "epoch": 0.805, "grad_norm": 29.375, "grad_norm_var": 2.758736220941137e+18, "learning_rate": 0.0001, "loss": 7.2813, "loss/crossentropy": 1.8412863582372665, "loss/hidden": 3.398828125, "loss/jsd": 0.0, "loss/logits": 0.18289455082267522, "step": 32200 }, { "epoch": 0.80525, "grad_norm": 30.375, "grad_norm_var": 2.758736220602027e+18, "learning_rate": 0.0001, "loss": 7.3068, "loss/crossentropy": 2.1275208979845046, "loss/hidden": 3.328515625, "loss/jsd": 0.0, "loss/logits": 0.182334803044796, "step": 32210 }, { "epoch": 0.8055, "grad_norm": 33.0, "grad_norm_var": 2.758736219923808e+18, "learning_rate": 0.0001, "loss": 7.3141, "loss/crossentropy": 2.134224483370781, "loss/hidden": 3.266015625, "loss/jsd": 0.0, "loss/logits": 0.17503854436799884, "step": 32220 }, { "epoch": 0.80575, "grad_norm": 32.75, "grad_norm_var": 2.758736219342478e+18, "learning_rate": 0.0001, "loss": 7.4317, "loss/crossentropy": 2.066732983291149, "loss/hidden": 3.4828125, "loss/jsd": 0.0, "loss/logits": 0.20872533712536095, "step": 32230 }, { "epoch": 0.806, "grad_norm": 26.625, "grad_norm_var": 5.002018229166667, "learning_rate": 0.0001, "loss": 7.2406, "loss/crossentropy": 1.9790171518921853, "loss/hidden": 3.373828125, "loss/jsd": 0.0, "loss/logits": 0.17605258710682392, "step": 32240 }, { "epoch": 0.80625, "grad_norm": 29.375, "grad_norm_var": 2.5551432291666667, "learning_rate": 0.0001, "loss": 7.3137, "loss/crossentropy": 2.115340569615364, "loss/hidden": 3.39765625, "loss/jsd": 0.0, "loss/logits": 0.191914526745677, "step": 32250 }, { "epoch": 0.8065, "grad_norm": 33.0, "grad_norm_var": 1.95625, "learning_rate": 0.0001, "loss": 7.2523, "loss/crossentropy": 1.9939750552177429, "loss/hidden": 3.313671875, "loss/jsd": 0.0, "loss/logits": 0.18340199431404472, "step": 32260 }, { "epoch": 0.80675, "grad_norm": 29.875, "grad_norm_var": 3.0518229166666666, "learning_rate": 0.0001, "loss": 7.2693, "loss/crossentropy": 2.1312461979687214, "loss/hidden": 3.22109375, "loss/jsd": 0.0, "loss/logits": 0.17243078984320165, "step": 32270 }, { "epoch": 0.807, "grad_norm": 29.625, "grad_norm_var": 2.7080729166666666, "learning_rate": 0.0001, "loss": 7.2228, "loss/crossentropy": 1.9979605212807656, "loss/hidden": 3.335546875, "loss/jsd": 0.0, "loss/logits": 0.1727626511827111, "step": 32280 }, { "epoch": 0.80725, "grad_norm": 30.375, "grad_norm_var": 2.4259765625, "learning_rate": 0.0001, "loss": 7.1558, "loss/crossentropy": 2.046182955801487, "loss/hidden": 3.412109375, "loss/jsd": 0.0, "loss/logits": 0.1849920243024826, "step": 32290 }, { "epoch": 0.8075, "grad_norm": 28.25, "grad_norm_var": 3.084830729166667, "learning_rate": 0.0001, "loss": 7.2157, "loss/crossentropy": 2.107586032152176, "loss/hidden": 3.378515625, "loss/jsd": 0.0, "loss/logits": 0.18789408281445502, "step": 32300 }, { "epoch": 0.80775, "grad_norm": 31.75, "grad_norm_var": 2.986458333333333, "learning_rate": 0.0001, "loss": 7.135, "loss/crossentropy": 1.966269464045763, "loss/hidden": 3.33984375, "loss/jsd": 0.0, "loss/logits": 0.17599091026932, "step": 32310 }, { "epoch": 0.808, "grad_norm": 30.5, "grad_norm_var": 1.6926432291666667, "learning_rate": 0.0001, "loss": 7.258, "loss/crossentropy": 2.03958098590374, "loss/hidden": 3.459765625, "loss/jsd": 0.0, "loss/logits": 0.18970332182943822, "step": 32320 }, { "epoch": 0.80825, "grad_norm": 30.5, "grad_norm_var": 1.4893229166666666, "learning_rate": 0.0001, "loss": 7.2886, "loss/crossentropy": 1.927356332540512, "loss/hidden": 3.398046875, "loss/jsd": 0.0, "loss/logits": 0.18331324979662894, "step": 32330 }, { "epoch": 0.8085, "grad_norm": 29.375, "grad_norm_var": 1.8212890625, "learning_rate": 0.0001, "loss": 7.3217, "loss/crossentropy": 2.1595819175243376, "loss/hidden": 3.243359375, "loss/jsd": 0.0, "loss/logits": 0.1796510087326169, "step": 32340 }, { "epoch": 0.80875, "grad_norm": 32.0, "grad_norm_var": 2.135872395833333, "learning_rate": 0.0001, "loss": 7.1902, "loss/crossentropy": 2.0535615980625153, "loss/hidden": 3.271875, "loss/jsd": 0.0, "loss/logits": 0.17316078525036574, "step": 32350 }, { "epoch": 0.809, "grad_norm": 29.5, "grad_norm_var": 4.070833333333334, "learning_rate": 0.0001, "loss": 7.1575, "loss/crossentropy": 1.870839986205101, "loss/hidden": 3.29375, "loss/jsd": 0.0, "loss/logits": 0.1662488218396902, "step": 32360 }, { "epoch": 0.80925, "grad_norm": 29.25, "grad_norm_var": 3.912239583333333, "learning_rate": 0.0001, "loss": 7.1563, "loss/crossentropy": 2.0238643392920492, "loss/hidden": 3.265234375, "loss/jsd": 0.0, "loss/logits": 0.16979822777211667, "step": 32370 }, { "epoch": 0.8095, "grad_norm": 34.0, "grad_norm_var": 3.70625, "learning_rate": 0.0001, "loss": 7.2548, "loss/crossentropy": 2.030308040976524, "loss/hidden": 3.32265625, "loss/jsd": 0.0, "loss/logits": 0.17933697663247586, "step": 32380 }, { "epoch": 0.80975, "grad_norm": 31.25, "grad_norm_var": 3.705208333333333, "learning_rate": 0.0001, "loss": 7.1595, "loss/crossentropy": 2.097300034761429, "loss/hidden": 3.277734375, "loss/jsd": 0.0, "loss/logits": 0.1716611221432686, "step": 32390 }, { "epoch": 0.81, "grad_norm": 27.75, "grad_norm_var": 8.028580729166666, "learning_rate": 0.0001, "loss": 7.2592, "loss/crossentropy": 2.1147085294127463, "loss/hidden": 3.287109375, "loss/jsd": 0.0, "loss/logits": 0.17622052859514953, "step": 32400 }, { "epoch": 0.81025, "grad_norm": 31.875, "grad_norm_var": 4.1619140625, "learning_rate": 0.0001, "loss": 7.1481, "loss/crossentropy": 2.1348901122808455, "loss/hidden": 3.3109375, "loss/jsd": 0.0, "loss/logits": 0.18319515213370324, "step": 32410 }, { "epoch": 0.8105, "grad_norm": 33.25, "grad_norm_var": 5.037239583333333, "learning_rate": 0.0001, "loss": 7.2796, "loss/crossentropy": 2.0976379089057446, "loss/hidden": 3.294921875, "loss/jsd": 0.0, "loss/logits": 0.16924114488065242, "step": 32420 }, { "epoch": 0.81075, "grad_norm": 32.0, "grad_norm_var": 15.3806640625, "learning_rate": 0.0001, "loss": 7.3044, "loss/crossentropy": 2.1474139034748077, "loss/hidden": 3.408203125, "loss/jsd": 0.0, "loss/logits": 0.1934512373059988, "step": 32430 }, { "epoch": 0.811, "grad_norm": 34.5, "grad_norm_var": 6.9244140625, "learning_rate": 0.0001, "loss": 7.2681, "loss/crossentropy": 2.1129303738474845, "loss/hidden": 3.326953125, "loss/jsd": 0.0, "loss/logits": 0.19321042932569982, "step": 32440 }, { "epoch": 0.81125, "grad_norm": 31.5, "grad_norm_var": 1.9455729166666667, "learning_rate": 0.0001, "loss": 7.4055, "loss/crossentropy": 2.2073852330446244, "loss/hidden": 3.33125, "loss/jsd": 0.0, "loss/logits": 0.18046779334545135, "step": 32450 }, { "epoch": 0.8115, "grad_norm": 28.0, "grad_norm_var": 2.247330729166667, "learning_rate": 0.0001, "loss": 7.2706, "loss/crossentropy": 2.009214510768652, "loss/hidden": 3.44765625, "loss/jsd": 0.0, "loss/logits": 0.20849293209612368, "step": 32460 }, { "epoch": 0.81175, "grad_norm": 29.875, "grad_norm_var": 3.4058471889324826e+18, "learning_rate": 0.0001, "loss": 7.4795, "loss/crossentropy": 2.1204657569527625, "loss/hidden": 3.307421875, "loss/jsd": 0.0, "loss/logits": 0.18255203776061535, "step": 32470 }, { "epoch": 0.812, "grad_norm": 28.375, "grad_norm_var": 3.1010416666666667, "learning_rate": 0.0001, "loss": 7.163, "loss/crossentropy": 1.9438684552907943, "loss/hidden": 3.297265625, "loss/jsd": 0.0, "loss/logits": 0.1655712489038706, "step": 32480 }, { "epoch": 0.81225, "grad_norm": 27.75, "grad_norm_var": 13.784309895833333, "learning_rate": 0.0001, "loss": 7.2748, "loss/crossentropy": 1.906498458981514, "loss/hidden": 3.275390625, "loss/jsd": 0.0, "loss/logits": 0.17149967923760415, "step": 32490 }, { "epoch": 0.8125, "grad_norm": 32.75, "grad_norm_var": 18.0337890625, "learning_rate": 0.0001, "loss": 7.2568, "loss/crossentropy": 2.1418545827269555, "loss/hidden": 3.341796875, "loss/jsd": 0.0, "loss/logits": 0.18672561962157488, "step": 32500 }, { "epoch": 0.81275, "grad_norm": 30.75, "grad_norm_var": 2.83515625, "learning_rate": 0.0001, "loss": 7.2452, "loss/crossentropy": 2.0591210328042506, "loss/hidden": 3.373828125, "loss/jsd": 0.0, "loss/logits": 0.1714493166655302, "step": 32510 }, { "epoch": 0.813, "grad_norm": 31.625, "grad_norm_var": 1.671875, "learning_rate": 0.0001, "loss": 7.1253, "loss/crossentropy": 2.0408148244023323, "loss/hidden": 3.3375, "loss/jsd": 0.0, "loss/logits": 0.18097794353961943, "step": 32520 }, { "epoch": 0.81325, "grad_norm": 30.75, "grad_norm_var": 1.7809895833333333, "learning_rate": 0.0001, "loss": 7.2145, "loss/crossentropy": 1.9985629439353942, "loss/hidden": 3.3296875, "loss/jsd": 0.0, "loss/logits": 0.19131027571856976, "step": 32530 }, { "epoch": 0.8135, "grad_norm": 32.0, "grad_norm_var": 3.2426432291666667, "learning_rate": 0.0001, "loss": 7.3301, "loss/crossentropy": 2.1079444982111455, "loss/hidden": 3.371484375, "loss/jsd": 0.0, "loss/logits": 0.18785760272294283, "step": 32540 }, { "epoch": 0.81375, "grad_norm": 28.875, "grad_norm_var": 3.5431640625, "learning_rate": 0.0001, "loss": 7.174, "loss/crossentropy": 1.9769691236317157, "loss/hidden": 3.228125, "loss/jsd": 0.0, "loss/logits": 0.16153431748971342, "step": 32550 }, { "epoch": 0.814, "grad_norm": 31.875, "grad_norm_var": 2.133072916666667, "learning_rate": 0.0001, "loss": 7.1737, "loss/crossentropy": 1.9369481757283211, "loss/hidden": 3.3890625, "loss/jsd": 0.0, "loss/logits": 0.18391805402934552, "step": 32560 }, { "epoch": 0.81425, "grad_norm": 31.375, "grad_norm_var": 5.5322265625, "learning_rate": 0.0001, "loss": 7.3592, "loss/crossentropy": 2.074393917620182, "loss/hidden": 3.2703125, "loss/jsd": 0.0, "loss/logits": 0.17730166036635636, "step": 32570 }, { "epoch": 0.8145, "grad_norm": 30.25, "grad_norm_var": 7.649934895833334, "learning_rate": 0.0001, "loss": 7.2958, "loss/crossentropy": 2.152645838260651, "loss/hidden": 3.2671875, "loss/jsd": 0.0, "loss/logits": 0.1779523069038987, "step": 32580 }, { "epoch": 0.81475, "grad_norm": 30.0, "grad_norm_var": 3.687239583333333, "learning_rate": 0.0001, "loss": 7.2586, "loss/crossentropy": 2.1111764326691627, "loss/hidden": 3.4234375, "loss/jsd": 0.0, "loss/logits": 0.2009077413007617, "step": 32590 }, { "epoch": 0.815, "grad_norm": 31.0, "grad_norm_var": 0.853125, "learning_rate": 0.0001, "loss": 7.2938, "loss/crossentropy": 2.095028135180473, "loss/hidden": 3.312109375, "loss/jsd": 0.0, "loss/logits": 0.18357501607388257, "step": 32600 }, { "epoch": 0.81525, "grad_norm": 29.125, "grad_norm_var": 2.2643229166666665, "learning_rate": 0.0001, "loss": 7.3045, "loss/crossentropy": 2.18403902053833, "loss/hidden": 3.39609375, "loss/jsd": 0.0, "loss/logits": 0.20085975714027882, "step": 32610 }, { "epoch": 0.8155, "grad_norm": 7549747200.0, "grad_norm_var": 3.562417644801884e+18, "learning_rate": 0.0001, "loss": 7.3539, "loss/crossentropy": 2.0945954963564875, "loss/hidden": 3.355078125, "loss/jsd": 0.0, "loss/logits": 0.19835255537182092, "step": 32620 }, { "epoch": 0.81575, "grad_norm": 29.25, "grad_norm_var": 3.562417644180603e+18, "learning_rate": 0.0001, "loss": 7.2437, "loss/crossentropy": 2.1617246508598327, "loss/hidden": 3.331640625, "loss/jsd": 0.0, "loss/logits": 0.1850573167204857, "step": 32630 }, { "epoch": 0.816, "grad_norm": 29.25, "grad_norm_var": 4.133268229166666, "learning_rate": 0.0001, "loss": 7.2513, "loss/crossentropy": 2.0281495213508607, "loss/hidden": 3.37734375, "loss/jsd": 0.0, "loss/logits": 0.17307685893028973, "step": 32640 }, { "epoch": 0.81625, "grad_norm": 31.375, "grad_norm_var": 10.743489583333334, "learning_rate": 0.0001, "loss": 7.1824, "loss/crossentropy": 1.9506276100873947, "loss/hidden": 3.351171875, "loss/jsd": 0.0, "loss/logits": 0.17777946423739194, "step": 32650 }, { "epoch": 0.8165, "grad_norm": 30.625, "grad_norm_var": 9.271809895833334, "learning_rate": 0.0001, "loss": 7.1952, "loss/crossentropy": 2.1222976088523864, "loss/hidden": 3.339453125, "loss/jsd": 0.0, "loss/logits": 0.18664605617523194, "step": 32660 }, { "epoch": 0.81675, "grad_norm": 30.25, "grad_norm_var": 2.0072265625, "learning_rate": 0.0001, "loss": 7.2998, "loss/crossentropy": 2.107238310575485, "loss/hidden": 3.324609375, "loss/jsd": 0.0, "loss/logits": 0.19150303788483142, "step": 32670 }, { "epoch": 0.817, "grad_norm": 31.5, "grad_norm_var": 2.9150390625, "learning_rate": 0.0001, "loss": 7.3482, "loss/crossentropy": 1.946744628250599, "loss/hidden": 3.34140625, "loss/jsd": 0.0, "loss/logits": 0.18452872475609183, "step": 32680 }, { "epoch": 0.81725, "grad_norm": 31.375, "grad_norm_var": 3.1708333333333334, "learning_rate": 0.0001, "loss": 7.2419, "loss/crossentropy": 2.169080337882042, "loss/hidden": 3.380078125, "loss/jsd": 0.0, "loss/logits": 0.18254951611161233, "step": 32690 }, { "epoch": 0.8175, "grad_norm": 29.0, "grad_norm_var": 2.3052083333333333, "learning_rate": 0.0001, "loss": 7.2529, "loss/crossentropy": 2.2490514785051348, "loss/hidden": 3.312109375, "loss/jsd": 0.0, "loss/logits": 0.1880893513560295, "step": 32700 }, { "epoch": 0.81775, "grad_norm": 28.625, "grad_norm_var": 20.976497395833334, "learning_rate": 0.0001, "loss": 7.3429, "loss/crossentropy": 2.1124695405364036, "loss/hidden": 3.41171875, "loss/jsd": 0.0, "loss/logits": 0.1869946725666523, "step": 32710 }, { "epoch": 0.818, "grad_norm": 28.625, "grad_norm_var": 21.052083333333332, "learning_rate": 0.0001, "loss": 7.2308, "loss/crossentropy": 1.9733390748500823, "loss/hidden": 3.284765625, "loss/jsd": 0.0, "loss/logits": 0.17016562707722188, "step": 32720 }, { "epoch": 0.81825, "grad_norm": 30.25, "grad_norm_var": 3.2416666666666667, "learning_rate": 0.0001, "loss": 7.2682, "loss/crossentropy": 2.0912339106202125, "loss/hidden": 3.35078125, "loss/jsd": 0.0, "loss/logits": 0.18757227193564177, "step": 32730 }, { "epoch": 0.8185, "grad_norm": 29.875, "grad_norm_var": 1.9098307291666667, "learning_rate": 0.0001, "loss": 7.2908, "loss/crossentropy": 2.046810332685709, "loss/hidden": 3.30703125, "loss/jsd": 0.0, "loss/logits": 0.1753769489005208, "step": 32740 }, { "epoch": 0.81875, "grad_norm": 28.875, "grad_norm_var": 85.02682291666666, "learning_rate": 0.0001, "loss": 7.1812, "loss/crossentropy": 1.8806068405508996, "loss/hidden": 3.426171875, "loss/jsd": 0.0, "loss/logits": 0.1857995780184865, "step": 32750 }, { "epoch": 0.819, "grad_norm": 31.75, "grad_norm_var": 83.22916666666667, "learning_rate": 0.0001, "loss": 7.2393, "loss/crossentropy": 2.263414332270622, "loss/hidden": 3.304296875, "loss/jsd": 0.0, "loss/logits": 0.19157245978713036, "step": 32760 }, { "epoch": 0.81925, "grad_norm": 30.875, "grad_norm_var": 2.247330729166667, "learning_rate": 0.0001, "loss": 7.2049, "loss/crossentropy": 2.0481057576835155, "loss/hidden": 3.237109375, "loss/jsd": 0.0, "loss/logits": 0.16489372327923774, "step": 32770 }, { "epoch": 0.8195, "grad_norm": 28.875, "grad_norm_var": 2.637955729166667, "learning_rate": 0.0001, "loss": 7.3102, "loss/crossentropy": 2.0778881147503854, "loss/hidden": 3.4078125, "loss/jsd": 0.0, "loss/logits": 0.18638940406963228, "step": 32780 }, { "epoch": 0.81975, "grad_norm": 30.625, "grad_norm_var": 2.450455729166667, "learning_rate": 0.0001, "loss": 7.2894, "loss/crossentropy": 2.0030703216791155, "loss/hidden": 3.303515625, "loss/jsd": 0.0, "loss/logits": 0.17577996235340834, "step": 32790 }, { "epoch": 0.82, "grad_norm": 29.125, "grad_norm_var": 1.9561848958333334, "learning_rate": 0.0001, "loss": 7.1411, "loss/crossentropy": 1.983315745741129, "loss/hidden": 3.34453125, "loss/jsd": 0.0, "loss/logits": 0.1809986751526594, "step": 32800 }, { "epoch": 0.82025, "grad_norm": 31.25, "grad_norm_var": 1.5622395833333333, "learning_rate": 0.0001, "loss": 7.201, "loss/crossentropy": 2.0666268527507783, "loss/hidden": 3.298046875, "loss/jsd": 0.0, "loss/logits": 0.17382380943745374, "step": 32810 }, { "epoch": 0.8205, "grad_norm": 28.625, "grad_norm_var": 8.472916666666666, "learning_rate": 0.0001, "loss": 7.217, "loss/crossentropy": 1.9913094595074654, "loss/hidden": 3.451171875, "loss/jsd": 0.0, "loss/logits": 0.17583483047783374, "step": 32820 }, { "epoch": 0.82075, "grad_norm": 29.625, "grad_norm_var": 9.392708333333333, "learning_rate": 0.0001, "loss": 7.2831, "loss/crossentropy": 2.131434071063995, "loss/hidden": 3.365234375, "loss/jsd": 0.0, "loss/logits": 0.18594115655869245, "step": 32830 }, { "epoch": 0.821, "grad_norm": 28.25, "grad_norm_var": 4.114583333333333, "learning_rate": 0.0001, "loss": 7.162, "loss/crossentropy": 2.108327967301011, "loss/hidden": 3.3171875, "loss/jsd": 0.0, "loss/logits": 0.18347832215949894, "step": 32840 }, { "epoch": 0.82125, "grad_norm": 32.75, "grad_norm_var": 2.1426432291666666, "learning_rate": 0.0001, "loss": 7.1914, "loss/crossentropy": 1.989778284728527, "loss/hidden": 3.370703125, "loss/jsd": 0.0, "loss/logits": 0.1808457243256271, "step": 32850 }, { "epoch": 0.8215, "grad_norm": 28.25, "grad_norm_var": 2.7124348958333333, "learning_rate": 0.0001, "loss": 7.2049, "loss/crossentropy": 2.120199552178383, "loss/hidden": 3.325, "loss/jsd": 0.0, "loss/logits": 0.18457971159368752, "step": 32860 }, { "epoch": 0.82175, "grad_norm": 35.5, "grad_norm_var": 25.367708333333333, "learning_rate": 0.0001, "loss": 7.2266, "loss/crossentropy": 2.0434179216623307, "loss/hidden": 3.268359375, "loss/jsd": 0.0, "loss/logits": 0.1738625967875123, "step": 32870 }, { "epoch": 0.822, "grad_norm": 28.875, "grad_norm_var": 20.552018229166666, "learning_rate": 0.0001, "loss": 7.3397, "loss/crossentropy": 2.1949902296066286, "loss/hidden": 3.3859375, "loss/jsd": 0.0, "loss/logits": 0.20381880030035973, "step": 32880 }, { "epoch": 0.82225, "grad_norm": 30.625, "grad_norm_var": 20.99375, "learning_rate": 0.0001, "loss": 7.2043, "loss/crossentropy": 2.0969431951642035, "loss/hidden": 3.19375, "loss/jsd": 0.0, "loss/logits": 0.16738458890467883, "step": 32890 }, { "epoch": 0.8225, "grad_norm": 29.5, "grad_norm_var": 2.6, "learning_rate": 0.0001, "loss": 7.3717, "loss/crossentropy": 1.910037212073803, "loss/hidden": 3.496875, "loss/jsd": 0.0, "loss/logits": 0.21138516459614037, "step": 32900 }, { "epoch": 0.82275, "grad_norm": 31.25, "grad_norm_var": 3.47890625, "learning_rate": 0.0001, "loss": 7.2944, "loss/crossentropy": 2.128745178878307, "loss/hidden": 3.290234375, "loss/jsd": 0.0, "loss/logits": 0.16938637476414442, "step": 32910 }, { "epoch": 0.823, "grad_norm": 31.125, "grad_norm_var": 4.466080729166666, "learning_rate": 0.0001, "loss": 7.3261, "loss/crossentropy": 2.1102588385343553, "loss/hidden": 3.233984375, "loss/jsd": 0.0, "loss/logits": 0.18096004836261273, "step": 32920 }, { "epoch": 0.82325, "grad_norm": 28.75, "grad_norm_var": 2.6264973958333333, "learning_rate": 0.0001, "loss": 7.2731, "loss/crossentropy": 2.0781460791826247, "loss/hidden": 3.382421875, "loss/jsd": 0.0, "loss/logits": 0.20577163994312286, "step": 32930 }, { "epoch": 0.8235, "grad_norm": 31.0, "grad_norm_var": 1.6613932291666667, "learning_rate": 0.0001, "loss": 7.3275, "loss/crossentropy": 2.0820566445589064, "loss/hidden": 3.337890625, "loss/jsd": 0.0, "loss/logits": 0.17738431375473737, "step": 32940 }, { "epoch": 0.82375, "grad_norm": 30.5, "grad_norm_var": 1.8696271412957893e+18, "learning_rate": 0.0001, "loss": 7.3092, "loss/crossentropy": 2.1891760557889937, "loss/hidden": 3.32265625, "loss/jsd": 0.0, "loss/logits": 0.18127844985574484, "step": 32950 }, { "epoch": 0.824, "grad_norm": 31.75, "grad_norm_var": 6.083333333333333, "learning_rate": 0.0001, "loss": 7.243, "loss/crossentropy": 2.1428692400455476, "loss/hidden": 3.33046875, "loss/jsd": 0.0, "loss/logits": 0.19357558973133565, "step": 32960 }, { "epoch": 0.82425, "grad_norm": 28.875, "grad_norm_var": 5.588997395833333, "learning_rate": 0.0001, "loss": 7.2652, "loss/crossentropy": 1.9545904472470284, "loss/hidden": 3.45625, "loss/jsd": 0.0, "loss/logits": 0.18726088060066104, "step": 32970 }, { "epoch": 0.8245, "grad_norm": 30.875, "grad_norm_var": 1.6593098958333334, "learning_rate": 0.0001, "loss": 7.2011, "loss/crossentropy": 2.19513940513134, "loss/hidden": 3.315234375, "loss/jsd": 0.0, "loss/logits": 0.18281609732657672, "step": 32980 }, { "epoch": 0.82475, "grad_norm": 30.25, "grad_norm_var": 3.0087890625, "learning_rate": 0.0001, "loss": 7.1861, "loss/crossentropy": 1.9000049561262131, "loss/hidden": 3.375, "loss/jsd": 0.0, "loss/logits": 0.18603194374591112, "step": 32990 }, { "epoch": 0.825, "grad_norm": 34.5, "grad_norm_var": 5.230143229166667, "learning_rate": 0.0001, "loss": 7.3087, "loss/crossentropy": 2.176528325676918, "loss/hidden": 3.380859375, "loss/jsd": 0.0, "loss/logits": 0.19508822299540043, "step": 33000 }, { "epoch": 0.82525, "grad_norm": 29.75, "grad_norm_var": 6.870768229166667, "learning_rate": 0.0001, "loss": 7.294, "loss/crossentropy": 2.074225351214409, "loss/hidden": 3.287890625, "loss/jsd": 0.0, "loss/logits": 0.1698618305847049, "step": 33010 }, { "epoch": 0.8255, "grad_norm": 30.25, "grad_norm_var": 3.5259765625, "learning_rate": 0.0001, "loss": 7.2318, "loss/crossentropy": 1.9874062195420266, "loss/hidden": 3.309375, "loss/jsd": 0.0, "loss/logits": 0.17083260375075043, "step": 33020 }, { "epoch": 0.82575, "grad_norm": 34.0, "grad_norm_var": 17.623958333333334, "learning_rate": 0.0001, "loss": 7.2262, "loss/crossentropy": 2.009798040986061, "loss/hidden": 3.38359375, "loss/jsd": 0.0, "loss/logits": 0.17537497971206903, "step": 33030 }, { "epoch": 0.826, "grad_norm": 31.875, "grad_norm_var": 4.7509765625, "learning_rate": 0.0001, "loss": 7.247, "loss/crossentropy": 1.975242407619953, "loss/hidden": 3.297265625, "loss/jsd": 0.0, "loss/logits": 0.1771410683169961, "step": 33040 }, { "epoch": 0.82625, "grad_norm": 29.625, "grad_norm_var": 3.6885416666666666, "learning_rate": 0.0001, "loss": 7.3327, "loss/crossentropy": 2.1277087360620497, "loss/hidden": 3.350390625, "loss/jsd": 0.0, "loss/logits": 0.18781726695597173, "step": 33050 }, { "epoch": 0.8265, "grad_norm": 29.5, "grad_norm_var": 19.176041666666666, "learning_rate": 0.0001, "loss": 7.2487, "loss/crossentropy": 2.0511118680238725, "loss/hidden": 3.383203125, "loss/jsd": 0.0, "loss/logits": 0.18265996258705855, "step": 33060 }, { "epoch": 0.82675, "grad_norm": 28.875, "grad_norm_var": 21.9181640625, "learning_rate": 0.0001, "loss": 7.2396, "loss/crossentropy": 2.0069188207387922, "loss/hidden": 3.42109375, "loss/jsd": 0.0, "loss/logits": 0.18895241040736438, "step": 33070 }, { "epoch": 0.827, "grad_norm": 29.0, "grad_norm_var": 5.089518229166667, "learning_rate": 0.0001, "loss": 7.1739, "loss/crossentropy": 2.0877312146127225, "loss/hidden": 3.300390625, "loss/jsd": 0.0, "loss/logits": 0.1880142292007804, "step": 33080 }, { "epoch": 0.82725, "grad_norm": 30.75, "grad_norm_var": 2.7997395833333334, "learning_rate": 0.0001, "loss": 7.2304, "loss/crossentropy": 2.1121929422020913, "loss/hidden": 3.38203125, "loss/jsd": 0.0, "loss/logits": 0.18759419713169337, "step": 33090 }, { "epoch": 0.8275, "grad_norm": 30.125, "grad_norm_var": 2.0629557291666667, "learning_rate": 0.0001, "loss": 7.2302, "loss/crossentropy": 2.0372960224747656, "loss/hidden": 3.31796875, "loss/jsd": 0.0, "loss/logits": 0.1759640196338296, "step": 33100 }, { "epoch": 0.82775, "grad_norm": 28.625, "grad_norm_var": 1.12265625, "learning_rate": 0.0001, "loss": 7.1867, "loss/crossentropy": 2.0432544320821764, "loss/hidden": 3.247265625, "loss/jsd": 0.0, "loss/logits": 0.17888994030654431, "step": 33110 }, { "epoch": 0.828, "grad_norm": 30.0, "grad_norm_var": 2.155042767301509e+18, "learning_rate": 0.0001, "loss": 7.3383, "loss/crossentropy": 1.9840383768081664, "loss/hidden": 3.459375, "loss/jsd": 0.0, "loss/logits": 0.1890584809705615, "step": 33120 }, { "epoch": 0.82825, "grad_norm": 29.625, "grad_norm_var": 1.7580729166666667, "learning_rate": 0.0001, "loss": 7.1764, "loss/crossentropy": 1.9866980195045472, "loss/hidden": 3.280859375, "loss/jsd": 0.0, "loss/logits": 0.16517556998878719, "step": 33130 }, { "epoch": 0.8285, "grad_norm": 29.25, "grad_norm_var": 3.1416015625, "learning_rate": 0.0001, "loss": 7.2066, "loss/crossentropy": 2.0350388549268246, "loss/hidden": 3.298046875, "loss/jsd": 0.0, "loss/logits": 0.17439607214182615, "step": 33140 }, { "epoch": 0.82875, "grad_norm": 31.625, "grad_norm_var": 2.4358723958333335, "learning_rate": 0.0001, "loss": 7.2689, "loss/crossentropy": 2.1262506932020186, "loss/hidden": 3.244921875, "loss/jsd": 0.0, "loss/logits": 0.17747630644589663, "step": 33150 }, { "epoch": 0.829, "grad_norm": 31.0, "grad_norm_var": 9.006184895833334, "learning_rate": 0.0001, "loss": 7.2443, "loss/crossentropy": 2.1790440320968627, "loss/hidden": 3.275390625, "loss/jsd": 0.0, "loss/logits": 0.18086491283029318, "step": 33160 }, { "epoch": 0.82925, "grad_norm": 28.75, "grad_norm_var": 10.318684895833334, "learning_rate": 0.0001, "loss": 7.3319, "loss/crossentropy": 2.174597004055977, "loss/hidden": 3.269140625, "loss/jsd": 0.0, "loss/logits": 0.1854943221434951, "step": 33170 }, { "epoch": 0.8295, "grad_norm": 34.5, "grad_norm_var": 2.9228515625, "learning_rate": 0.0001, "loss": 7.2453, "loss/crossentropy": 2.1312096804380416, "loss/hidden": 3.279296875, "loss/jsd": 0.0, "loss/logits": 0.17487460002303123, "step": 33180 }, { "epoch": 0.82975, "grad_norm": 30.5, "grad_norm_var": 2.530989583333333, "learning_rate": 0.0001, "loss": 7.2681, "loss/crossentropy": 2.1367484860122206, "loss/hidden": 3.385546875, "loss/jsd": 0.0, "loss/logits": 0.18738685622811319, "step": 33190 }, { "epoch": 0.83, "grad_norm": 28.5, "grad_norm_var": 1.828125, "learning_rate": 0.0001, "loss": 7.228, "loss/crossentropy": 2.1254208497703075, "loss/hidden": 3.281640625, "loss/jsd": 0.0, "loss/logits": 0.1795659614726901, "step": 33200 }, { "epoch": 0.83025, "grad_norm": 28.5, "grad_norm_var": 2.9530598958333334, "learning_rate": 0.0001, "loss": 7.2011, "loss/crossentropy": 1.9877605877816678, "loss/hidden": 3.346484375, "loss/jsd": 0.0, "loss/logits": 0.18452598052099348, "step": 33210 }, { "epoch": 0.8305, "grad_norm": 35.25, "grad_norm_var": 3.9431640625, "learning_rate": 0.0001, "loss": 7.1594, "loss/crossentropy": 2.0039492681622506, "loss/hidden": 3.334375, "loss/jsd": 0.0, "loss/logits": 0.18381198737770318, "step": 33220 }, { "epoch": 0.83075, "grad_norm": 43.5, "grad_norm_var": 14.514322916666666, "learning_rate": 0.0001, "loss": 7.2984, "loss/crossentropy": 2.1737947434186937, "loss/hidden": 3.346484375, "loss/jsd": 0.0, "loss/logits": 0.17826213724911213, "step": 33230 }, { "epoch": 0.831, "grad_norm": 28.125, "grad_norm_var": 13.200455729166666, "learning_rate": 0.0001, "loss": 7.1889, "loss/crossentropy": 2.1893670335412025, "loss/hidden": 3.312890625, "loss/jsd": 0.0, "loss/logits": 0.1756696652621031, "step": 33240 }, { "epoch": 0.83125, "grad_norm": 32.25, "grad_norm_var": 6.585416666666666, "learning_rate": 0.0001, "loss": 7.2065, "loss/crossentropy": 2.2689021706581114, "loss/hidden": 3.353515625, "loss/jsd": 0.0, "loss/logits": 0.18847335111349822, "step": 33250 }, { "epoch": 0.8315, "grad_norm": 29.875, "grad_norm_var": 4.733072916666667, "learning_rate": 0.0001, "loss": 7.273, "loss/crossentropy": 2.1217512801289558, "loss/hidden": 3.36875, "loss/jsd": 0.0, "loss/logits": 0.18651887271553277, "step": 33260 }, { "epoch": 0.83175, "grad_norm": 32.75, "grad_norm_var": 4.162434895833333, "learning_rate": 0.0001, "loss": 7.2661, "loss/crossentropy": 1.952786525338888, "loss/hidden": 3.212109375, "loss/jsd": 0.0, "loss/logits": 0.15934878159314395, "step": 33270 }, { "epoch": 0.832, "grad_norm": 28.875, "grad_norm_var": 18.381184895833332, "learning_rate": 0.0001, "loss": 7.1678, "loss/crossentropy": 2.1539489194750785, "loss/hidden": 3.331640625, "loss/jsd": 0.0, "loss/logits": 0.1839644392952323, "step": 33280 }, { "epoch": 0.83225, "grad_norm": 31.5, "grad_norm_var": 6.798958333333333, "learning_rate": 0.0001, "loss": 7.295, "loss/crossentropy": 2.144645670056343, "loss/hidden": 3.29765625, "loss/jsd": 0.0, "loss/logits": 0.17679207548499107, "step": 33290 }, { "epoch": 0.8325, "grad_norm": 30.375, "grad_norm_var": 3.0150390625, "learning_rate": 0.0001, "loss": 7.3755, "loss/crossentropy": 2.0700169153511525, "loss/hidden": 3.3234375, "loss/jsd": 0.0, "loss/logits": 0.18612122694030403, "step": 33300 }, { "epoch": 0.83275, "grad_norm": 31.125, "grad_norm_var": 2.7768229166666667, "learning_rate": 0.0001, "loss": 7.1297, "loss/crossentropy": 2.0893400743603707, "loss/hidden": 3.269140625, "loss/jsd": 0.0, "loss/logits": 0.17862566062249244, "step": 33310 }, { "epoch": 0.833, "grad_norm": 32.25, "grad_norm_var": 3.01015625, "learning_rate": 0.0001, "loss": 7.2992, "loss/crossentropy": 2.1281204342842104, "loss/hidden": 3.38125, "loss/jsd": 0.0, "loss/logits": 0.19392694123089313, "step": 33320 }, { "epoch": 0.83325, "grad_norm": 32.25, "grad_norm_var": 2.66640625, "learning_rate": 0.0001, "loss": 7.266, "loss/crossentropy": 1.9223125174641609, "loss/hidden": 3.365625, "loss/jsd": 0.0, "loss/logits": 0.1853881362825632, "step": 33330 }, { "epoch": 0.8335, "grad_norm": 29.875, "grad_norm_var": 1.8166015625, "learning_rate": 0.0001, "loss": 7.2632, "loss/crossentropy": 1.9951855912804604, "loss/hidden": 3.263671875, "loss/jsd": 0.0, "loss/logits": 0.17544143386185168, "step": 33340 }, { "epoch": 0.83375, "grad_norm": 27.5, "grad_norm_var": 1.9083333333333334, "learning_rate": 0.0001, "loss": 7.2816, "loss/crossentropy": 1.8624406516551972, "loss/hidden": 3.326953125, "loss/jsd": 0.0, "loss/logits": 0.166407653875649, "step": 33350 }, { "epoch": 0.834, "grad_norm": 29.25, "grad_norm_var": 4.018684895833333, "learning_rate": 0.0001, "loss": 7.3705, "loss/crossentropy": 2.019158259034157, "loss/hidden": 3.377734375, "loss/jsd": 0.0, "loss/logits": 0.1928328016772866, "step": 33360 }, { "epoch": 0.83425, "grad_norm": 31.625, "grad_norm_var": 4.66015625, "learning_rate": 0.0001, "loss": 7.2398, "loss/crossentropy": 2.002238343656063, "loss/hidden": 3.36875, "loss/jsd": 0.0, "loss/logits": 0.18211230151355268, "step": 33370 }, { "epoch": 0.8345, "grad_norm": 29.75, "grad_norm_var": 5.110872395833334, "learning_rate": 0.0001, "loss": 7.2584, "loss/crossentropy": 2.167521375417709, "loss/hidden": 3.292578125, "loss/jsd": 0.0, "loss/logits": 0.17853855043649675, "step": 33380 }, { "epoch": 0.83475, "grad_norm": 29.375, "grad_norm_var": 3.7447916666666665, "learning_rate": 0.0001, "loss": 7.1261, "loss/crossentropy": 2.034111428260803, "loss/hidden": 3.320703125, "loss/jsd": 0.0, "loss/logits": 0.18338973429054023, "step": 33390 }, { "epoch": 0.835, "grad_norm": 30.375, "grad_norm_var": 2.1705729166666665, "learning_rate": 0.0001, "loss": 7.2059, "loss/crossentropy": 1.937609364837408, "loss/hidden": 3.3984375, "loss/jsd": 0.0, "loss/logits": 0.18285921812057496, "step": 33400 }, { "epoch": 0.83525, "grad_norm": 28.625, "grad_norm_var": 2.6988932291666665, "learning_rate": 0.0001, "loss": 7.222, "loss/crossentropy": 2.170501431822777, "loss/hidden": 3.253515625, "loss/jsd": 0.0, "loss/logits": 0.17850385289639234, "step": 33410 }, { "epoch": 0.8355, "grad_norm": 31.0, "grad_norm_var": 3.5369140625, "learning_rate": 0.0001, "loss": 7.2907, "loss/crossentropy": 1.869483571499586, "loss/hidden": 3.462109375, "loss/jsd": 0.0, "loss/logits": 0.19331245701760053, "step": 33420 }, { "epoch": 0.83575, "grad_norm": 33.5, "grad_norm_var": 3.5559895833333335, "learning_rate": 0.0001, "loss": 7.2744, "loss/crossentropy": 2.044697883725166, "loss/hidden": 3.322265625, "loss/jsd": 0.0, "loss/logits": 0.17986318413168192, "step": 33430 }, { "epoch": 0.836, "grad_norm": 31.125, "grad_norm_var": 5.074739583333334, "learning_rate": 0.0001, "loss": 7.1971, "loss/crossentropy": 2.074133487045765, "loss/hidden": 3.2578125, "loss/jsd": 0.0, "loss/logits": 0.17584548909217118, "step": 33440 }, { "epoch": 0.83625, "grad_norm": 32.5, "grad_norm_var": 4.56875, "learning_rate": 0.0001, "loss": 7.2264, "loss/crossentropy": 2.1718404933810236, "loss/hidden": 3.39296875, "loss/jsd": 0.0, "loss/logits": 0.1941602316685021, "step": 33450 }, { "epoch": 0.8365, "grad_norm": 28.5, "grad_norm_var": 3.4833333333333334, "learning_rate": 0.0001, "loss": 7.3675, "loss/crossentropy": 2.105057214200497, "loss/hidden": 3.2921875, "loss/jsd": 0.0, "loss/logits": 0.1713842570781708, "step": 33460 }, { "epoch": 0.83675, "grad_norm": 28.0, "grad_norm_var": 2.684375, "learning_rate": 0.0001, "loss": 7.176, "loss/crossentropy": 2.1097921282052994, "loss/hidden": 3.390234375, "loss/jsd": 0.0, "loss/logits": 0.20385158769786357, "step": 33470 }, { "epoch": 0.837, "grad_norm": 30.5, "grad_norm_var": 1.5916666666666666, "learning_rate": 0.0001, "loss": 7.1873, "loss/crossentropy": 2.0274341255426407, "loss/hidden": 3.309375, "loss/jsd": 0.0, "loss/logits": 0.17628777120262384, "step": 33480 }, { "epoch": 0.83725, "grad_norm": 33.75, "grad_norm_var": 3.06015625, "learning_rate": 0.0001, "loss": 7.2902, "loss/crossentropy": 2.1492093369364738, "loss/hidden": 3.3078125, "loss/jsd": 0.0, "loss/logits": 0.18647899404168128, "step": 33490 }, { "epoch": 0.8375, "grad_norm": 30.125, "grad_norm_var": 3.1518229166666667, "learning_rate": 0.0001, "loss": 7.2008, "loss/crossentropy": 2.2044859319925307, "loss/hidden": 3.3125, "loss/jsd": 0.0, "loss/logits": 0.1958764422684908, "step": 33500 }, { "epoch": 0.83775, "grad_norm": 31.75, "grad_norm_var": 1.1791015625, "learning_rate": 0.0001, "loss": 7.2588, "loss/crossentropy": 1.9938185468316079, "loss/hidden": 3.40625, "loss/jsd": 0.0, "loss/logits": 0.17682940270751715, "step": 33510 }, { "epoch": 0.838, "grad_norm": 28.625, "grad_norm_var": 3.0916015625, "learning_rate": 0.0001, "loss": 7.2187, "loss/crossentropy": 1.8948181390762329, "loss/hidden": 3.33046875, "loss/jsd": 0.0, "loss/logits": 0.17874590419232844, "step": 33520 }, { "epoch": 0.83825, "grad_norm": 30.875, "grad_norm_var": 2.660416666666667, "learning_rate": 0.0001, "loss": 7.2563, "loss/crossentropy": 1.9899358443915844, "loss/hidden": 3.34453125, "loss/jsd": 0.0, "loss/logits": 0.17318380083888768, "step": 33530 }, { "epoch": 0.8385, "grad_norm": 32.0, "grad_norm_var": 3.2639973958333335, "learning_rate": 0.0001, "loss": 7.1997, "loss/crossentropy": 2.09279451072216, "loss/hidden": 3.344921875, "loss/jsd": 0.0, "loss/logits": 0.19197166245430708, "step": 33540 }, { "epoch": 0.83875, "grad_norm": 31.875, "grad_norm_var": 1.8114583333333334, "learning_rate": 0.0001, "loss": 7.2935, "loss/crossentropy": 2.2584090396761893, "loss/hidden": 3.321875, "loss/jsd": 0.0, "loss/logits": 0.20011573657393456, "step": 33550 }, { "epoch": 0.839, "grad_norm": 29.0, "grad_norm_var": 1.4705729166666666, "learning_rate": 0.0001, "loss": 7.2413, "loss/crossentropy": 2.064199483394623, "loss/hidden": 3.409375, "loss/jsd": 0.0, "loss/logits": 0.18448180723935365, "step": 33560 }, { "epoch": 0.83925, "grad_norm": 32.5, "grad_norm_var": 1.6811848958333333, "learning_rate": 0.0001, "loss": 7.2521, "loss/crossentropy": 2.1389085978269575, "loss/hidden": 3.287109375, "loss/jsd": 0.0, "loss/logits": 0.17851551342755556, "step": 33570 }, { "epoch": 0.8395, "grad_norm": 31.375, "grad_norm_var": 2.9624348958333333, "learning_rate": 0.0001, "loss": 7.2863, "loss/crossentropy": 2.1424932688474656, "loss/hidden": 3.342578125, "loss/jsd": 0.0, "loss/logits": 0.18908166233450174, "step": 33580 }, { "epoch": 0.83975, "grad_norm": 30.75, "grad_norm_var": 2.928465630524028e+18, "learning_rate": 0.0001, "loss": 7.2873, "loss/crossentropy": 1.968450340628624, "loss/hidden": 3.346484375, "loss/jsd": 0.0, "loss/logits": 0.18586775716394185, "step": 33590 }, { "epoch": 0.84, "grad_norm": 29.0, "grad_norm_var": 25.168489583333333, "learning_rate": 0.0001, "loss": 7.2015, "loss/crossentropy": 2.125929144024849, "loss/hidden": 3.40390625, "loss/jsd": 0.0, "loss/logits": 0.1928325628861785, "step": 33600 }, { "epoch": 0.84025, "grad_norm": 33.0, "grad_norm_var": 30.908268229166666, "learning_rate": 0.0001, "loss": 7.3396, "loss/crossentropy": 2.133786876499653, "loss/hidden": 3.336328125, "loss/jsd": 0.0, "loss/logits": 0.18853625562041998, "step": 33610 }, { "epoch": 0.8405, "grad_norm": 31.25, "grad_norm_var": 8.537434895833334, "learning_rate": 0.0001, "loss": 7.2523, "loss/crossentropy": 2.0643911197781564, "loss/hidden": 3.2890625, "loss/jsd": 0.0, "loss/logits": 0.16706958692520857, "step": 33620 }, { "epoch": 0.84075, "grad_norm": 29.125, "grad_norm_var": 15.953580729166667, "learning_rate": 0.0001, "loss": 7.253, "loss/crossentropy": 2.180924139916897, "loss/hidden": 3.282421875, "loss/jsd": 0.0, "loss/logits": 0.1812012242153287, "step": 33630 }, { "epoch": 0.841, "grad_norm": 27.75, "grad_norm_var": 13.53125, "learning_rate": 0.0001, "loss": 7.3464, "loss/crossentropy": 2.1258861504495146, "loss/hidden": 3.378515625, "loss/jsd": 0.0, "loss/logits": 0.2176899950951338, "step": 33640 }, { "epoch": 0.84125, "grad_norm": 33.75, "grad_norm_var": 9.324739583333333, "learning_rate": 0.0001, "loss": 7.2401, "loss/crossentropy": 2.0648413375020027, "loss/hidden": 3.336328125, "loss/jsd": 0.0, "loss/logits": 0.1812899900600314, "step": 33650 }, { "epoch": 0.8415, "grad_norm": 36.0, "grad_norm_var": 6.6509765625, "learning_rate": 0.0001, "loss": 7.2464, "loss/crossentropy": 2.2324777007102967, "loss/hidden": 3.27109375, "loss/jsd": 0.0, "loss/logits": 0.18248971588909627, "step": 33660 }, { "epoch": 0.84175, "grad_norm": 36.25, "grad_norm_var": 6.999934895833333, "learning_rate": 0.0001, "loss": 7.2403, "loss/crossentropy": 2.233609616756439, "loss/hidden": 3.2484375, "loss/jsd": 0.0, "loss/logits": 0.17655839212238789, "step": 33670 }, { "epoch": 0.842, "grad_norm": 30.5, "grad_norm_var": 4.526822916666666, "learning_rate": 0.0001, "loss": 7.291, "loss/crossentropy": 2.103627168387175, "loss/hidden": 3.370703125, "loss/jsd": 0.0, "loss/logits": 0.20420456351712346, "step": 33680 }, { "epoch": 0.84225, "grad_norm": 29.25, "grad_norm_var": 4.9134765625, "learning_rate": 0.0001, "loss": 7.218, "loss/crossentropy": 2.1048862997442486, "loss/hidden": 3.317578125, "loss/jsd": 0.0, "loss/logits": 0.1857083396986127, "step": 33690 }, { "epoch": 0.8425, "grad_norm": 30.5, "grad_norm_var": 6.632291666666666, "learning_rate": 0.0001, "loss": 7.241, "loss/crossentropy": 2.1183654844760893, "loss/hidden": 3.26171875, "loss/jsd": 0.0, "loss/logits": 0.17055343594402075, "step": 33700 }, { "epoch": 0.84275, "grad_norm": 30.375, "grad_norm_var": 45.45618489583333, "learning_rate": 0.0001, "loss": 7.1277, "loss/crossentropy": 1.9154896408319473, "loss/hidden": 3.343359375, "loss/jsd": 0.0, "loss/logits": 0.17995868530124426, "step": 33710 }, { "epoch": 0.843, "grad_norm": 33.0, "grad_norm_var": 42.3447265625, "learning_rate": 0.0001, "loss": 7.2229, "loss/crossentropy": 1.8783961586654185, "loss/hidden": 3.281640625, "loss/jsd": 0.0, "loss/logits": 0.15951730422675608, "step": 33720 }, { "epoch": 0.84325, "grad_norm": 27.875, "grad_norm_var": 4.575, "learning_rate": 0.0001, "loss": 7.1576, "loss/crossentropy": 2.2371614634990693, "loss/hidden": 3.29765625, "loss/jsd": 0.0, "loss/logits": 0.20098869111388923, "step": 33730 }, { "epoch": 0.8435, "grad_norm": 29.0, "grad_norm_var": 3.2259765625, "learning_rate": 0.0001, "loss": 7.2066, "loss/crossentropy": 2.0927552759647368, "loss/hidden": 3.31796875, "loss/jsd": 0.0, "loss/logits": 0.17918878868222238, "step": 33740 }, { "epoch": 0.84375, "grad_norm": 30.75, "grad_norm_var": 2.2660807291666667, "learning_rate": 0.0001, "loss": 7.186, "loss/crossentropy": 2.0027615509927275, "loss/hidden": 3.446484375, "loss/jsd": 0.0, "loss/logits": 0.19067690251395106, "step": 33750 }, { "epoch": 0.844, "grad_norm": 26.125, "grad_norm_var": 5.451822916666667, "learning_rate": 0.0001, "loss": 7.1761, "loss/crossentropy": 2.010700835287571, "loss/hidden": 3.372265625, "loss/jsd": 0.0, "loss/logits": 0.1867529757320881, "step": 33760 }, { "epoch": 0.84425, "grad_norm": 36.25, "grad_norm_var": 8.837434895833333, "learning_rate": 0.0001, "loss": 7.2334, "loss/crossentropy": 1.998683289438486, "loss/hidden": 3.231640625, "loss/jsd": 0.0, "loss/logits": 0.17415560763329269, "step": 33770 }, { "epoch": 0.8445, "grad_norm": 28.5, "grad_norm_var": 7.392122395833334, "learning_rate": 0.0001, "loss": 7.1901, "loss/crossentropy": 2.180643618106842, "loss/hidden": 3.4046875, "loss/jsd": 0.0, "loss/logits": 0.18043227680027485, "step": 33780 }, { "epoch": 0.84475, "grad_norm": 35.0, "grad_norm_var": 43.71432291666667, "learning_rate": 0.0001, "loss": 7.1083, "loss/crossentropy": 2.000649718940258, "loss/hidden": 3.34140625, "loss/jsd": 0.0, "loss/logits": 0.17601131778210402, "step": 33790 }, { "epoch": 0.845, "grad_norm": 29.25, "grad_norm_var": 59.41041666666667, "learning_rate": 0.0001, "loss": 7.158, "loss/crossentropy": 1.9586811505258084, "loss/hidden": 3.2734375, "loss/jsd": 0.0, "loss/logits": 0.17341443207114934, "step": 33800 }, { "epoch": 0.84525, "grad_norm": 28.875, "grad_norm_var": 50.3228515625, "learning_rate": 0.0001, "loss": 7.255, "loss/crossentropy": 2.2014808893203734, "loss/hidden": 3.407421875, "loss/jsd": 0.0, "loss/logits": 0.1981699451804161, "step": 33810 }, { "epoch": 0.8455, "grad_norm": 30.625, "grad_norm_var": 37.398372395833334, "learning_rate": 0.0001, "loss": 7.3061, "loss/crossentropy": 2.1012670308351518, "loss/hidden": 3.294140625, "loss/jsd": 0.0, "loss/logits": 0.1775698646903038, "step": 33820 }, { "epoch": 0.84575, "grad_norm": 28.25, "grad_norm_var": 22.502083333333335, "learning_rate": 0.0001, "loss": 7.1653, "loss/crossentropy": 2.0572401136159897, "loss/hidden": 3.328125, "loss/jsd": 0.0, "loss/logits": 0.182903066650033, "step": 33830 }, { "epoch": 0.846, "grad_norm": 42.0, "grad_norm_var": 27.852018229166667, "learning_rate": 0.0001, "loss": 7.208, "loss/crossentropy": 1.9303223744034768, "loss/hidden": 3.258984375, "loss/jsd": 0.0, "loss/logits": 0.16786477230489255, "step": 33840 }, { "epoch": 0.84625, "grad_norm": 30.125, "grad_norm_var": 15.620572916666667, "learning_rate": 0.0001, "loss": 7.1522, "loss/crossentropy": 2.2037465661764144, "loss/hidden": 3.27421875, "loss/jsd": 0.0, "loss/logits": 0.18479030914604663, "step": 33850 }, { "epoch": 0.8465, "grad_norm": 30.0, "grad_norm_var": 14.82890625, "learning_rate": 0.0001, "loss": 7.2389, "loss/crossentropy": 2.118402448296547, "loss/hidden": 3.391015625, "loss/jsd": 0.0, "loss/logits": 0.19767413921654226, "step": 33860 }, { "epoch": 0.84675, "grad_norm": 28.875, "grad_norm_var": 15.980989583333333, "learning_rate": 0.0001, "loss": 7.2069, "loss/crossentropy": 2.0344385020434856, "loss/hidden": 3.406640625, "loss/jsd": 0.0, "loss/logits": 0.18299854248762132, "step": 33870 }, { "epoch": 0.847, "grad_norm": 30.0, "grad_norm_var": 13.670572916666666, "learning_rate": 0.0001, "loss": 7.1785, "loss/crossentropy": 2.100412330776453, "loss/hidden": 3.31796875, "loss/jsd": 0.0, "loss/logits": 0.18360245916992426, "step": 33880 }, { "epoch": 0.84725, "grad_norm": 28.875, "grad_norm_var": 8.151497395833333, "learning_rate": 0.0001, "loss": 7.1457, "loss/crossentropy": 2.0797202557325365, "loss/hidden": 3.353515625, "loss/jsd": 0.0, "loss/logits": 0.1801828995347023, "step": 33890 }, { "epoch": 0.8475, "grad_norm": 33.25, "grad_norm_var": 7.064583333333333, "learning_rate": 0.0001, "loss": 7.2686, "loss/crossentropy": 2.143502997606993, "loss/hidden": 3.317578125, "loss/jsd": 0.0, "loss/logits": 0.191785538662225, "step": 33900 }, { "epoch": 0.84775, "grad_norm": 32.5, "grad_norm_var": 10.1009765625, "learning_rate": 0.0001, "loss": 7.1032, "loss/crossentropy": 1.9439681842923164, "loss/hidden": 3.23984375, "loss/jsd": 0.0, "loss/logits": 0.15850237123668193, "step": 33910 }, { "epoch": 0.848, "grad_norm": 29.75, "grad_norm_var": 8.961458333333333, "learning_rate": 0.0001, "loss": 7.1842, "loss/crossentropy": 2.141938117146492, "loss/hidden": 3.24921875, "loss/jsd": 0.0, "loss/logits": 0.18331899046897887, "step": 33920 }, { "epoch": 0.84825, "grad_norm": 29.25, "grad_norm_var": 14.096875, "learning_rate": 0.0001, "loss": 7.2517, "loss/crossentropy": 2.0895468056201936, "loss/hidden": 3.346484375, "loss/jsd": 0.0, "loss/logits": 0.18215047754347324, "step": 33930 }, { "epoch": 0.8485, "grad_norm": 30.0, "grad_norm_var": 7.476822916666666, "learning_rate": 0.0001, "loss": 7.2402, "loss/crossentropy": 2.0649702072143556, "loss/hidden": 3.412109375, "loss/jsd": 0.0, "loss/logits": 0.193724649772048, "step": 33940 }, { "epoch": 0.84875, "grad_norm": 31.0, "grad_norm_var": 4.956184895833333, "learning_rate": 0.0001, "loss": 7.1436, "loss/crossentropy": 2.058744602650404, "loss/hidden": 3.469921875, "loss/jsd": 0.0, "loss/logits": 0.1868588777258992, "step": 33950 }, { "epoch": 0.849, "grad_norm": 33.25, "grad_norm_var": 3.496809895833333, "learning_rate": 0.0001, "loss": 7.4438, "loss/crossentropy": 2.0169904246926307, "loss/hidden": 3.359765625, "loss/jsd": 0.0, "loss/logits": 0.18656898457556964, "step": 33960 }, { "epoch": 0.84925, "grad_norm": 43.75, "grad_norm_var": 13.911458333333334, "learning_rate": 0.0001, "loss": 7.2415, "loss/crossentropy": 1.9969091698527337, "loss/hidden": 3.411328125, "loss/jsd": 0.0, "loss/logits": 0.19089818820357324, "step": 33970 }, { "epoch": 0.8495, "grad_norm": 31.375, "grad_norm_var": 16.1212890625, "learning_rate": 0.0001, "loss": 7.2844, "loss/crossentropy": 2.1538162916898727, "loss/hidden": 3.29453125, "loss/jsd": 0.0, "loss/logits": 0.18127647042274475, "step": 33980 }, { "epoch": 0.84975, "grad_norm": 28.125, "grad_norm_var": 2.0686848958333335, "learning_rate": 0.0001, "loss": 7.2479, "loss/crossentropy": 1.9829765126109122, "loss/hidden": 3.341796875, "loss/jsd": 0.0, "loss/logits": 0.18695083800703288, "step": 33990 }, { "epoch": 0.85, "grad_norm": 29.875, "grad_norm_var": 1.88515625, "learning_rate": 0.0001, "loss": 7.2118, "loss/crossentropy": 2.14188566505909, "loss/hidden": 3.419140625, "loss/jsd": 0.0, "loss/logits": 0.19902665503323078, "step": 34000 }, { "epoch": 0.85025, "grad_norm": 82.5, "grad_norm_var": 341.77076822916666, "learning_rate": 0.0001, "loss": 7.3306, "loss/crossentropy": 2.0443466253578664, "loss/hidden": 3.397265625, "loss/jsd": 0.0, "loss/logits": 0.18300221683457493, "step": 34010 }, { "epoch": 0.8505, "grad_norm": 30.25, "grad_norm_var": 394.2884765625, "learning_rate": 0.0001, "loss": 7.1513, "loss/crossentropy": 2.0158767446875574, "loss/hidden": 3.244140625, "loss/jsd": 0.0, "loss/logits": 0.16400964334607124, "step": 34020 }, { "epoch": 0.85075, "grad_norm": 33.0, "grad_norm_var": 6.6931640625, "learning_rate": 0.0001, "loss": 7.2646, "loss/crossentropy": 2.0715938180685045, "loss/hidden": 3.332421875, "loss/jsd": 0.0, "loss/logits": 0.17798414621502162, "step": 34030 }, { "epoch": 0.851, "grad_norm": 29.75, "grad_norm_var": 1.2879557291666666, "learning_rate": 0.0001, "loss": 7.3028, "loss/crossentropy": 2.0998909667134287, "loss/hidden": 3.227734375, "loss/jsd": 0.0, "loss/logits": 0.17252598106861114, "step": 34040 }, { "epoch": 0.85125, "grad_norm": 31.375, "grad_norm_var": 0.8093098958333333, "learning_rate": 0.0001, "loss": 7.3888, "loss/crossentropy": 2.110021045804024, "loss/hidden": 3.35, "loss/jsd": 0.0, "loss/logits": 0.18911605402827264, "step": 34050 }, { "epoch": 0.8515, "grad_norm": 29.75, "grad_norm_var": 5.635416666666667, "learning_rate": 0.0001, "loss": 7.187, "loss/crossentropy": 1.9248976431787015, "loss/hidden": 3.353125, "loss/jsd": 0.0, "loss/logits": 0.17050397992134095, "step": 34060 }, { "epoch": 0.85175, "grad_norm": 29.375, "grad_norm_var": 0.9635416666666666, "learning_rate": 0.0001, "loss": 7.3192, "loss/crossentropy": 2.181374564766884, "loss/hidden": 3.415625, "loss/jsd": 0.0, "loss/logits": 0.19645040035247802, "step": 34070 }, { "epoch": 0.852, "grad_norm": 30.0, "grad_norm_var": 2.314322916666667, "learning_rate": 0.0001, "loss": 7.2283, "loss/crossentropy": 2.0438218235969545, "loss/hidden": 3.391796875, "loss/jsd": 0.0, "loss/logits": 0.19108605310320853, "step": 34080 }, { "epoch": 0.85225, "grad_norm": 31.25, "grad_norm_var": 2.176497395833333, "learning_rate": 0.0001, "loss": 7.2638, "loss/crossentropy": 2.1723656713962556, "loss/hidden": 3.336328125, "loss/jsd": 0.0, "loss/logits": 0.18390613235533237, "step": 34090 }, { "epoch": 0.8525, "grad_norm": 28.5, "grad_norm_var": 1.8622395833333334, "learning_rate": 0.0001, "loss": 7.1693, "loss/crossentropy": 2.0392055988311766, "loss/hidden": 3.394921875, "loss/jsd": 0.0, "loss/logits": 0.20077015552669764, "step": 34100 }, { "epoch": 0.85275, "grad_norm": 32.25, "grad_norm_var": 2.6499348958333333, "learning_rate": 0.0001, "loss": 7.268, "loss/crossentropy": 2.0958330132067204, "loss/hidden": 3.334375, "loss/jsd": 0.0, "loss/logits": 0.1809829636476934, "step": 34110 }, { "epoch": 0.853, "grad_norm": 30.75, "grad_norm_var": 2.8759765625, "learning_rate": 0.0001, "loss": 7.1929, "loss/crossentropy": 2.13548312112689, "loss/hidden": 3.334765625, "loss/jsd": 0.0, "loss/logits": 0.18752679266035557, "step": 34120 }, { "epoch": 0.85325, "grad_norm": 42.25, "grad_norm_var": 10.880989583333333, "learning_rate": 0.0001, "loss": 7.2939, "loss/crossentropy": 2.2205469399690627, "loss/hidden": 3.340234375, "loss/jsd": 0.0, "loss/logits": 0.20043759122490884, "step": 34130 }, { "epoch": 0.8535, "grad_norm": 32.0, "grad_norm_var": 10.0806640625, "learning_rate": 0.0001, "loss": 7.3005, "loss/crossentropy": 2.0488852843642236, "loss/hidden": 3.276953125, "loss/jsd": 0.0, "loss/logits": 0.17713683266192676, "step": 34140 }, { "epoch": 0.85375, "grad_norm": 27.25, "grad_norm_var": 2.3520833333333333, "learning_rate": 0.0001, "loss": 7.1977, "loss/crossentropy": 2.097453436255455, "loss/hidden": 3.27890625, "loss/jsd": 0.0, "loss/logits": 0.18755655977874994, "step": 34150 }, { "epoch": 0.854, "grad_norm": 43.5, "grad_norm_var": 12.536393229166666, "learning_rate": 0.0001, "loss": 7.2194, "loss/crossentropy": 2.0824636235833167, "loss/hidden": 3.2734375, "loss/jsd": 0.0, "loss/logits": 0.18008290715515612, "step": 34160 }, { "epoch": 0.85425, "grad_norm": 28.625, "grad_norm_var": 14.074934895833334, "learning_rate": 0.0001, "loss": 7.2031, "loss/crossentropy": 2.1574205800890924, "loss/hidden": 3.3859375, "loss/jsd": 0.0, "loss/logits": 0.19417616873979568, "step": 34170 }, { "epoch": 0.8545, "grad_norm": 31.625, "grad_norm_var": 2.220833333333333, "learning_rate": 0.0001, "loss": 7.2651, "loss/crossentropy": 2.0641315899789334, "loss/hidden": 3.403515625, "loss/jsd": 0.0, "loss/logits": 0.18580467496067285, "step": 34180 }, { "epoch": 0.85475, "grad_norm": 29.375, "grad_norm_var": 2.120247395833333, "learning_rate": 0.0001, "loss": 7.2528, "loss/crossentropy": 2.1908591121435164, "loss/hidden": 3.419921875, "loss/jsd": 0.0, "loss/logits": 0.19210774190723895, "step": 34190 }, { "epoch": 0.855, "grad_norm": 31.0, "grad_norm_var": 8.9, "learning_rate": 0.0001, "loss": 7.234, "loss/crossentropy": 1.9531598590314387, "loss/hidden": 3.328125, "loss/jsd": 0.0, "loss/logits": 0.16695764372125269, "step": 34200 }, { "epoch": 0.85525, "grad_norm": 31.125, "grad_norm_var": 1.5622564690419953e+18, "learning_rate": 0.0001, "loss": 7.2399, "loss/crossentropy": 2.1334476828575135, "loss/hidden": 3.380859375, "loss/jsd": 0.0, "loss/logits": 0.18677760362625123, "step": 34210 }, { "epoch": 0.8555, "grad_norm": 28.25, "grad_norm_var": 1.5622564690367872e+18, "learning_rate": 0.0001, "loss": 7.2243, "loss/crossentropy": 2.1223787307739257, "loss/hidden": 3.287109375, "loss/jsd": 0.0, "loss/logits": 0.177429954521358, "step": 34220 }, { "epoch": 0.85575, "grad_norm": 32.25, "grad_norm_var": 6.009375, "learning_rate": 0.0001, "loss": 7.1667, "loss/crossentropy": 2.053752092272043, "loss/hidden": 3.391015625, "loss/jsd": 0.0, "loss/logits": 0.17705130875110625, "step": 34230 }, { "epoch": 0.856, "grad_norm": 31.25, "grad_norm_var": 9.1212890625, "learning_rate": 0.0001, "loss": 7.2172, "loss/crossentropy": 2.0997056752443313, "loss/hidden": 3.36796875, "loss/jsd": 0.0, "loss/logits": 0.1921197187155485, "step": 34240 }, { "epoch": 0.85625, "grad_norm": 29.0, "grad_norm_var": 14.873893229166667, "learning_rate": 0.0001, "loss": 7.356, "loss/crossentropy": 2.250038433074951, "loss/hidden": 3.38515625, "loss/jsd": 0.0, "loss/logits": 0.2058642553165555, "step": 34250 }, { "epoch": 0.8565, "grad_norm": 34.5, "grad_norm_var": 6.51015625, "learning_rate": 0.0001, "loss": 7.2588, "loss/crossentropy": 2.076680043339729, "loss/hidden": 3.445703125, "loss/jsd": 0.0, "loss/logits": 0.19434863217175008, "step": 34260 }, { "epoch": 0.85675, "grad_norm": 31.5, "grad_norm_var": 5.5416015625, "learning_rate": 0.0001, "loss": 7.2713, "loss/crossentropy": 2.0715027406811712, "loss/hidden": 3.28671875, "loss/jsd": 0.0, "loss/logits": 0.18325763065367937, "step": 34270 }, { "epoch": 0.857, "grad_norm": 33.5, "grad_norm_var": 6.362955729166667, "learning_rate": 0.0001, "loss": 7.2176, "loss/crossentropy": 2.1784741804003716, "loss/hidden": 3.3765625, "loss/jsd": 0.0, "loss/logits": 0.19372119139879942, "step": 34280 }, { "epoch": 0.85725, "grad_norm": 28.5, "grad_norm_var": 2.1797421956559012e+18, "learning_rate": 0.0001, "loss": 7.2276, "loss/crossentropy": 1.9267006784677505, "loss/hidden": 3.621484375, "loss/jsd": 0.0, "loss/logits": 0.17005468346178532, "step": 34290 }, { "epoch": 0.8575, "grad_norm": 36.25, "grad_norm_var": 19.323372395833335, "learning_rate": 0.0001, "loss": 7.2047, "loss/crossentropy": 2.0357692562043668, "loss/hidden": 3.265234375, "loss/jsd": 0.0, "loss/logits": 0.16413889769464732, "step": 34300 }, { "epoch": 0.85775, "grad_norm": 29.75, "grad_norm_var": 18.8625, "learning_rate": 0.0001, "loss": 7.3689, "loss/crossentropy": 2.137700055539608, "loss/hidden": 3.37265625, "loss/jsd": 0.0, "loss/logits": 0.21653785947710275, "step": 34310 }, { "epoch": 0.858, "grad_norm": 30.0, "grad_norm_var": 6.951822916666667, "learning_rate": 0.0001, "loss": 7.3168, "loss/crossentropy": 2.1582180485129356, "loss/hidden": 3.3953125, "loss/jsd": 0.0, "loss/logits": 0.18372731544077398, "step": 34320 }, { "epoch": 0.85825, "grad_norm": 32.5, "grad_norm_var": 5.91015625, "learning_rate": 0.0001, "loss": 7.1411, "loss/crossentropy": 1.911540611833334, "loss/hidden": 3.4, "loss/jsd": 0.0, "loss/logits": 0.17052888721227646, "step": 34330 }, { "epoch": 0.8585, "grad_norm": 33.5, "grad_norm_var": 6.578580729166666, "learning_rate": 0.0001, "loss": 7.3572, "loss/crossentropy": 2.364978903532028, "loss/hidden": 3.28671875, "loss/jsd": 0.0, "loss/logits": 0.18875811491161584, "step": 34340 }, { "epoch": 0.85875, "grad_norm": 28.375, "grad_norm_var": 3.8583333333333334, "learning_rate": 0.0001, "loss": 7.2133, "loss/crossentropy": 2.141178289055824, "loss/hidden": 3.38515625, "loss/jsd": 0.0, "loss/logits": 0.19198058787733316, "step": 34350 }, { "epoch": 0.859, "grad_norm": 34.5, "grad_norm_var": 5.176822916666667, "learning_rate": 0.0001, "loss": 7.3441, "loss/crossentropy": 2.094452814757824, "loss/hidden": 3.380078125, "loss/jsd": 0.0, "loss/logits": 0.19298046212643385, "step": 34360 }, { "epoch": 0.85925, "grad_norm": 29.5, "grad_norm_var": 6.773372395833333, "learning_rate": 0.0001, "loss": 7.2284, "loss/crossentropy": 2.1614732801914216, "loss/hidden": 3.36484375, "loss/jsd": 0.0, "loss/logits": 0.18951235935091973, "step": 34370 }, { "epoch": 0.8595, "grad_norm": 28.125, "grad_norm_var": 8.332291666666666, "learning_rate": 0.0001, "loss": 7.2134, "loss/crossentropy": 1.923812200129032, "loss/hidden": 3.33046875, "loss/jsd": 0.0, "loss/logits": 0.17469180338084697, "step": 34380 }, { "epoch": 0.85975, "grad_norm": 29.125, "grad_norm_var": 6.509309895833334, "learning_rate": 0.0001, "loss": 7.2371, "loss/crossentropy": 2.095948604494333, "loss/hidden": 3.309375, "loss/jsd": 0.0, "loss/logits": 0.18810884784907103, "step": 34390 }, { "epoch": 0.86, "grad_norm": 32.75, "grad_norm_var": 2.5561848958333333, "learning_rate": 0.0001, "loss": 7.3054, "loss/crossentropy": 2.100370090454817, "loss/hidden": 3.296484375, "loss/jsd": 0.0, "loss/logits": 0.1727097921539098, "step": 34400 }, { "epoch": 0.86025, "grad_norm": 32.25, "grad_norm_var": 6.81640625, "learning_rate": 0.0001, "loss": 7.2286, "loss/crossentropy": 2.0329787097871304, "loss/hidden": 3.31953125, "loss/jsd": 0.0, "loss/logits": 0.19481676891446115, "step": 34410 }, { "epoch": 0.8605, "grad_norm": 27.625, "grad_norm_var": 3.1384765625, "learning_rate": 0.0001, "loss": 7.1993, "loss/crossentropy": 2.0509812578558924, "loss/hidden": 3.37734375, "loss/jsd": 0.0, "loss/logits": 0.1901794293895364, "step": 34420 }, { "epoch": 0.86075, "grad_norm": 33.25, "grad_norm_var": 4.1134765625, "learning_rate": 0.0001, "loss": 7.2347, "loss/crossentropy": 2.080067491531372, "loss/hidden": 3.213671875, "loss/jsd": 0.0, "loss/logits": 0.16772212591022254, "step": 34430 }, { "epoch": 0.861, "grad_norm": 32.0, "grad_norm_var": 2.3749348958333334, "learning_rate": 0.0001, "loss": 7.3447, "loss/crossentropy": 2.1038970395922663, "loss/hidden": 3.358203125, "loss/jsd": 0.0, "loss/logits": 0.19416949711740017, "step": 34440 }, { "epoch": 0.86125, "grad_norm": 30.25, "grad_norm_var": 1.803125, "learning_rate": 0.0001, "loss": 7.1554, "loss/crossentropy": 2.1600521214306356, "loss/hidden": 3.258984375, "loss/jsd": 0.0, "loss/logits": 0.1786617579869926, "step": 34450 }, { "epoch": 0.8615, "grad_norm": 31.75, "grad_norm_var": 1.93125, "learning_rate": 0.0001, "loss": 7.2464, "loss/crossentropy": 2.0537144929170608, "loss/hidden": 3.386328125, "loss/jsd": 0.0, "loss/logits": 0.18485849518328906, "step": 34460 }, { "epoch": 0.86175, "grad_norm": 28.75, "grad_norm_var": 3.091080729166667, "learning_rate": 0.0001, "loss": 7.4084, "loss/crossentropy": 2.187089277803898, "loss/hidden": 3.3140625, "loss/jsd": 0.0, "loss/logits": 0.19332499224692584, "step": 34470 }, { "epoch": 0.862, "grad_norm": 30.0, "grad_norm_var": 2.1259765625, "learning_rate": 0.0001, "loss": 7.3543, "loss/crossentropy": 2.1333917580544948, "loss/hidden": 3.408984375, "loss/jsd": 0.0, "loss/logits": 0.2026039410382509, "step": 34480 }, { "epoch": 0.86225, "grad_norm": 33.25, "grad_norm_var": 2.695572916666667, "learning_rate": 0.0001, "loss": 7.3226, "loss/crossentropy": 2.2536570131778717, "loss/hidden": 3.3484375, "loss/jsd": 0.0, "loss/logits": 0.20088705383241176, "step": 34490 }, { "epoch": 0.8625, "grad_norm": 30.5, "grad_norm_var": 4.008072916666666, "learning_rate": 0.0001, "loss": 7.19, "loss/crossentropy": 2.0807801954448224, "loss/hidden": 3.343359375, "loss/jsd": 0.0, "loss/logits": 0.17837361767888069, "step": 34500 }, { "epoch": 0.86275, "grad_norm": 31.5, "grad_norm_var": 28.599739583333335, "learning_rate": 0.0001, "loss": 7.2724, "loss/crossentropy": 2.045263282954693, "loss/hidden": 3.206640625, "loss/jsd": 0.0, "loss/logits": 0.1748804647475481, "step": 34510 }, { "epoch": 0.863, "grad_norm": 30.25, "grad_norm_var": 31.26015625, "learning_rate": 0.0001, "loss": 7.2109, "loss/crossentropy": 1.9880013443529605, "loss/hidden": 3.409765625, "loss/jsd": 0.0, "loss/logits": 0.18841168489307164, "step": 34520 }, { "epoch": 0.86325, "grad_norm": 30.0, "grad_norm_var": 3.3353515625, "learning_rate": 0.0001, "loss": 7.2164, "loss/crossentropy": 1.9977822721004486, "loss/hidden": 3.296875, "loss/jsd": 0.0, "loss/logits": 0.1732394440099597, "step": 34530 }, { "epoch": 0.8635, "grad_norm": 31.375, "grad_norm_var": 2.8489583333333335, "learning_rate": 0.0001, "loss": 7.3079, "loss/crossentropy": 2.0394112788140775, "loss/hidden": 3.306640625, "loss/jsd": 0.0, "loss/logits": 0.18080272432416677, "step": 34540 }, { "epoch": 0.86375, "grad_norm": 29.375, "grad_norm_var": 1.9479166666666667, "learning_rate": 0.0001, "loss": 7.3328, "loss/crossentropy": 2.027179962396622, "loss/hidden": 3.326171875, "loss/jsd": 0.0, "loss/logits": 0.17251962665468454, "step": 34550 }, { "epoch": 0.864, "grad_norm": 30.625, "grad_norm_var": 2.6488932291666667, "learning_rate": 0.0001, "loss": 7.1298, "loss/crossentropy": 2.034211057424545, "loss/hidden": 3.369140625, "loss/jsd": 0.0, "loss/logits": 0.19268830977380275, "step": 34560 }, { "epoch": 0.86425, "grad_norm": 29.875, "grad_norm_var": 2.4447916666666667, "learning_rate": 0.0001, "loss": 7.3167, "loss/crossentropy": 2.0971597135066986, "loss/hidden": 3.357421875, "loss/jsd": 0.0, "loss/logits": 0.18605808783322572, "step": 34570 }, { "epoch": 0.8645, "grad_norm": 48.75, "grad_norm_var": 35.84348958333333, "learning_rate": 0.0001, "loss": 7.142, "loss/crossentropy": 2.0621576346457005, "loss/hidden": 3.260546875, "loss/jsd": 0.0, "loss/logits": 0.1724056525155902, "step": 34580 }, { "epoch": 0.86475, "grad_norm": 28.5, "grad_norm_var": 36.61764322916667, "learning_rate": 0.0001, "loss": 7.2735, "loss/crossentropy": 2.1108843713998793, "loss/hidden": 3.34140625, "loss/jsd": 0.0, "loss/logits": 0.18370629232376814, "step": 34590 }, { "epoch": 0.865, "grad_norm": 29.875, "grad_norm_var": 4.808072916666666, "learning_rate": 0.0001, "loss": 7.3068, "loss/crossentropy": 2.1198356598615646, "loss/hidden": 3.2515625, "loss/jsd": 0.0, "loss/logits": 0.17393486481159925, "step": 34600 }, { "epoch": 0.86525, "grad_norm": 29.25, "grad_norm_var": 7.821875, "learning_rate": 0.0001, "loss": 7.1895, "loss/crossentropy": 2.1428691267967226, "loss/hidden": 3.312890625, "loss/jsd": 0.0, "loss/logits": 0.17750228513032199, "step": 34610 }, { "epoch": 0.8655, "grad_norm": 28.875, "grad_norm_var": 3.534309895833333, "learning_rate": 0.0001, "loss": 7.1452, "loss/crossentropy": 2.1150192469358444, "loss/hidden": 3.30390625, "loss/jsd": 0.0, "loss/logits": 0.18156156884506344, "step": 34620 }, { "epoch": 0.86575, "grad_norm": 47.25, "grad_norm_var": 20.116666666666667, "learning_rate": 0.0001, "loss": 7.1916, "loss/crossentropy": 2.048045912384987, "loss/hidden": 3.2953125, "loss/jsd": 0.0, "loss/logits": 0.17622407525777817, "step": 34630 }, { "epoch": 0.866, "grad_norm": 44.5, "grad_norm_var": 32.889322916666664, "learning_rate": 0.0001, "loss": 7.2463, "loss/crossentropy": 2.1702506244182587, "loss/hidden": 3.320703125, "loss/jsd": 0.0, "loss/logits": 0.18493551313877105, "step": 34640 }, { "epoch": 0.86625, "grad_norm": 29.25, "grad_norm_var": 17.79765625, "learning_rate": 0.0001, "loss": 7.1766, "loss/crossentropy": 2.0337833762168884, "loss/hidden": 3.2890625, "loss/jsd": 0.0, "loss/logits": 0.16715510403737427, "step": 34650 }, { "epoch": 0.8665, "grad_norm": 32.5, "grad_norm_var": 21.022916666666667, "learning_rate": 0.0001, "loss": 7.3194, "loss/crossentropy": 2.120563616603613, "loss/hidden": 3.244140625, "loss/jsd": 0.0, "loss/logits": 0.18254042975604534, "step": 34660 }, { "epoch": 0.86675, "grad_norm": 30.5, "grad_norm_var": 21.049934895833335, "learning_rate": 0.0001, "loss": 7.2838, "loss/crossentropy": 2.179687091708183, "loss/hidden": 3.31171875, "loss/jsd": 0.0, "loss/logits": 0.18392705954611302, "step": 34670 }, { "epoch": 0.867, "grad_norm": 28.75, "grad_norm_var": 22.86640625, "learning_rate": 0.0001, "loss": 7.1964, "loss/crossentropy": 2.0371907725930214, "loss/hidden": 3.272265625, "loss/jsd": 0.0, "loss/logits": 0.16766862897202373, "step": 34680 }, { "epoch": 0.86725, "grad_norm": 37.5, "grad_norm_var": 9.8853515625, "learning_rate": 0.0001, "loss": 7.2503, "loss/crossentropy": 2.0847177296876906, "loss/hidden": 3.445703125, "loss/jsd": 0.0, "loss/logits": 0.19687753692269325, "step": 34690 }, { "epoch": 0.8675, "grad_norm": 30.625, "grad_norm_var": 8.3125, "learning_rate": 0.0001, "loss": 7.2033, "loss/crossentropy": 2.1133716337382795, "loss/hidden": 3.2671875, "loss/jsd": 0.0, "loss/logits": 0.17771089039742946, "step": 34700 }, { "epoch": 0.86775, "grad_norm": 32.0, "grad_norm_var": 15.16015625, "learning_rate": 0.0001, "loss": 7.1315, "loss/crossentropy": 1.9481457851827144, "loss/hidden": 3.29296875, "loss/jsd": 0.0, "loss/logits": 0.16198133826255798, "step": 34710 }, { "epoch": 0.868, "grad_norm": 28.625, "grad_norm_var": 9.898893229166667, "learning_rate": 0.0001, "loss": 7.217, "loss/crossentropy": 2.067484679818153, "loss/hidden": 3.358984375, "loss/jsd": 0.0, "loss/logits": 0.1796406304463744, "step": 34720 }, { "epoch": 0.86825, "grad_norm": 32.0, "grad_norm_var": 7.970247395833334, "learning_rate": 0.0001, "loss": 7.2962, "loss/crossentropy": 2.044479449093342, "loss/hidden": 3.288671875, "loss/jsd": 0.0, "loss/logits": 0.1899338317103684, "step": 34730 }, { "epoch": 0.8685, "grad_norm": 29.625, "grad_norm_var": 10.008072916666666, "learning_rate": 0.0001, "loss": 7.2071, "loss/crossentropy": 1.9862901911139488, "loss/hidden": 3.302734375, "loss/jsd": 0.0, "loss/logits": 0.16481328159570693, "step": 34740 }, { "epoch": 0.86875, "grad_norm": 29.625, "grad_norm_var": 6.892122395833334, "learning_rate": 0.0001, "loss": 7.1911, "loss/crossentropy": 2.061764293164015, "loss/hidden": 3.1796875, "loss/jsd": 0.0, "loss/logits": 0.17607883377932013, "step": 34750 }, { "epoch": 0.869, "grad_norm": 31.75, "grad_norm_var": 6.23515625, "learning_rate": 0.0001, "loss": 7.1601, "loss/crossentropy": 1.9567598104476929, "loss/hidden": 3.412890625, "loss/jsd": 0.0, "loss/logits": 0.1676634754985571, "step": 34760 }, { "epoch": 0.86925, "grad_norm": 32.0, "grad_norm_var": 5.8712890625, "learning_rate": 0.0001, "loss": 7.1628, "loss/crossentropy": 2.0253935903310776, "loss/hidden": 3.38203125, "loss/jsd": 0.0, "loss/logits": 0.2007642241194844, "step": 34770 }, { "epoch": 0.8695, "grad_norm": 32.0, "grad_norm_var": 5.207291666666666, "learning_rate": 0.0001, "loss": 7.2495, "loss/crossentropy": 2.0621690064668656, "loss/hidden": 3.403515625, "loss/jsd": 0.0, "loss/logits": 0.18934654965996742, "step": 34780 }, { "epoch": 0.86975, "grad_norm": 29.75, "grad_norm_var": 30.786458333333332, "learning_rate": 0.0001, "loss": 7.3168, "loss/crossentropy": 2.1084874011576176, "loss/hidden": 3.30546875, "loss/jsd": 0.0, "loss/logits": 0.17805544696748257, "step": 34790 }, { "epoch": 0.87, "grad_norm": 28.25, "grad_norm_var": 38.59765625, "learning_rate": 0.0001, "loss": 7.2599, "loss/crossentropy": 2.0882460571825505, "loss/hidden": 3.2828125, "loss/jsd": 0.0, "loss/logits": 0.175720988959074, "step": 34800 }, { "epoch": 0.87025, "grad_norm": 31.375, "grad_norm_var": 19.3400390625, "learning_rate": 0.0001, "loss": 7.1688, "loss/crossentropy": 2.16546451151371, "loss/hidden": 3.298828125, "loss/jsd": 0.0, "loss/logits": 0.17413612268865108, "step": 34810 }, { "epoch": 0.8705, "grad_norm": 31.625, "grad_norm_var": 12.055208333333333, "learning_rate": 0.0001, "loss": 7.271, "loss/crossentropy": 2.0857179775834083, "loss/hidden": 3.468359375, "loss/jsd": 0.0, "loss/logits": 0.1955510875210166, "step": 34820 }, { "epoch": 0.87075, "grad_norm": 30.625, "grad_norm_var": 3.5348307291666665, "learning_rate": 0.0001, "loss": 7.2399, "loss/crossentropy": 2.0899414606392384, "loss/hidden": 3.390234375, "loss/jsd": 0.0, "loss/logits": 0.1947469917126, "step": 34830 }, { "epoch": 0.871, "grad_norm": 31.125, "grad_norm_var": 4.118489583333333, "learning_rate": 0.0001, "loss": 7.3026, "loss/crossentropy": 1.9977812230587007, "loss/hidden": 3.422265625, "loss/jsd": 0.0, "loss/logits": 0.1887421939522028, "step": 34840 }, { "epoch": 0.87125, "grad_norm": 32.75, "grad_norm_var": 106.38515625, "learning_rate": 0.0001, "loss": 7.1963, "loss/crossentropy": 2.035346057265997, "loss/hidden": 3.316796875, "loss/jsd": 0.0, "loss/logits": 0.18354044388979673, "step": 34850 }, { "epoch": 0.8715, "grad_norm": 29.25, "grad_norm_var": 40.138997395833336, "learning_rate": 0.0001, "loss": 7.2506, "loss/crossentropy": 2.055702011287212, "loss/hidden": 3.34296875, "loss/jsd": 0.0, "loss/logits": 0.18968002796173095, "step": 34860 }, { "epoch": 0.87175, "grad_norm": 31.0, "grad_norm_var": 3.1434895833333334, "learning_rate": 0.0001, "loss": 7.1322, "loss/crossentropy": 2.205520695447922, "loss/hidden": 3.261328125, "loss/jsd": 0.0, "loss/logits": 0.17120692394673825, "step": 34870 }, { "epoch": 0.872, "grad_norm": 32.0, "grad_norm_var": 13.1791015625, "learning_rate": 0.0001, "loss": 7.2685, "loss/crossentropy": 2.1152933806180956, "loss/hidden": 3.4109375, "loss/jsd": 0.0, "loss/logits": 0.20207914523780346, "step": 34880 }, { "epoch": 0.87225, "grad_norm": 29.75, "grad_norm_var": 9.956705729166666, "learning_rate": 0.0001, "loss": 7.3239, "loss/crossentropy": 2.1282338641583918, "loss/hidden": 3.31796875, "loss/jsd": 0.0, "loss/logits": 0.18587686102837325, "step": 34890 }, { "epoch": 0.8725, "grad_norm": 52.25, "grad_norm_var": 31.803580729166665, "learning_rate": 0.0001, "loss": 7.2091, "loss/crossentropy": 2.1109050989151, "loss/hidden": 3.400390625, "loss/jsd": 0.0, "loss/logits": 0.1893902899697423, "step": 34900 }, { "epoch": 0.87275, "grad_norm": 52.75, "grad_norm_var": 61.08958333333333, "learning_rate": 0.0001, "loss": 7.147, "loss/crossentropy": 2.071830262243748, "loss/hidden": 3.13828125, "loss/jsd": 0.0, "loss/logits": 0.16298614926636218, "step": 34910 }, { "epoch": 0.873, "grad_norm": 53.25, "grad_norm_var": 67.65598958333334, "learning_rate": 0.0001, "loss": 7.2023, "loss/crossentropy": 2.1021742850542067, "loss/hidden": 3.459375, "loss/jsd": 0.0, "loss/logits": 0.20394247360527515, "step": 34920 }, { "epoch": 0.87325, "grad_norm": 31.375, "grad_norm_var": 36.49108072916667, "learning_rate": 0.0001, "loss": 7.3976, "loss/crossentropy": 2.1242296025156975, "loss/hidden": 3.248046875, "loss/jsd": 0.0, "loss/logits": 0.17494969312101602, "step": 34930 }, { "epoch": 0.8735, "grad_norm": 30.875, "grad_norm_var": 1.8572265625, "learning_rate": 0.0001, "loss": 7.2589, "loss/crossentropy": 1.9055627778172493, "loss/hidden": 3.298828125, "loss/jsd": 0.0, "loss/logits": 0.17225345242768525, "step": 34940 }, { "epoch": 0.87375, "grad_norm": 30.125, "grad_norm_var": 1.5186848958333334, "learning_rate": 0.0001, "loss": 7.1511, "loss/crossentropy": 1.9887107498943806, "loss/hidden": 3.29140625, "loss/jsd": 0.0, "loss/logits": 0.17664323821663858, "step": 34950 }, { "epoch": 0.874, "grad_norm": 29.75, "grad_norm_var": 1.4518229166666667, "learning_rate": 0.0001, "loss": 7.1873, "loss/crossentropy": 2.1399480305612086, "loss/hidden": 3.304296875, "loss/jsd": 0.0, "loss/logits": 0.17877526078373193, "step": 34960 }, { "epoch": 0.87425, "grad_norm": 27.875, "grad_norm_var": 4.1478515625, "learning_rate": 0.0001, "loss": 7.1986, "loss/crossentropy": 2.2206870928406715, "loss/hidden": 3.332421875, "loss/jsd": 0.0, "loss/logits": 0.18415752444416283, "step": 34970 }, { "epoch": 0.8745, "grad_norm": 34.25, "grad_norm_var": 6.489518229166666, "learning_rate": 0.0001, "loss": 7.2735, "loss/crossentropy": 2.185173198580742, "loss/hidden": 3.2921875, "loss/jsd": 0.0, "loss/logits": 0.18359190542250872, "step": 34980 }, { "epoch": 0.87475, "grad_norm": 29.875, "grad_norm_var": 4.262239583333334, "learning_rate": 0.0001, "loss": 7.3373, "loss/crossentropy": 2.264425238966942, "loss/hidden": 3.309375, "loss/jsd": 0.0, "loss/logits": 0.18859156258404255, "step": 34990 }, { "epoch": 0.875, "grad_norm": 29.625, "grad_norm_var": 4.75625, "learning_rate": 0.0001, "loss": 7.1984, "loss/crossentropy": 2.123842165619135, "loss/hidden": 3.312109375, "loss/jsd": 0.0, "loss/logits": 0.1855444625020027, "step": 35000 } ], "logging_steps": 10, "max_steps": 40000, "num_input_tokens_seen": 0, "num_train_epochs": 9223372036854775807, "save_steps": 5000, "stateful_callbacks": { "TrainerControl": { "args": { "should_epoch_stop": false, "should_evaluate": false, "should_log": false, "should_save": true, "should_training_stop": false }, "attributes": {} } }, "total_flos": 1.0001285112030822e+20, "train_batch_size": 2, "trial_name": null, "trial_params": null }