| { |
| "best_global_step": 3000, |
| "best_metric": 3.6425010418158132, |
| "best_model_checkpoint": "checkpoints/gpt-2_seq1024_mla192-96-0/checkpoint-3000", |
| "epoch": 0.9042272624519629, |
| "eval_steps": 300, |
| "global_step": 3000, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.006028181749679753, |
| "grad_norm": 2.1480085849761963, |
| "learning_rate": 3.166666666666667e-05, |
| "loss": 10.5105, |
| "step": 20 |
| }, |
| { |
| "epoch": 0.012056363499359506, |
| "grad_norm": 1.516770839691162, |
| "learning_rate": 6.500000000000001e-05, |
| "loss": 9.1318, |
| "step": 40 |
| }, |
| { |
| "epoch": 0.01808454524903926, |
| "grad_norm": 0.9571565985679626, |
| "learning_rate": 9.833333333333333e-05, |
| "loss": 8.0347, |
| "step": 60 |
| }, |
| { |
| "epoch": 0.02411272699871901, |
| "grad_norm": 0.6516666412353516, |
| "learning_rate": 0.00013166666666666665, |
| "loss": 7.227, |
| "step": 80 |
| }, |
| { |
| "epoch": 0.030140908748398764, |
| "grad_norm": 0.42714038491249084, |
| "learning_rate": 0.000165, |
| "loss": 6.8261, |
| "step": 100 |
| }, |
| { |
| "epoch": 0.03616909049807852, |
| "grad_norm": 0.6521334052085876, |
| "learning_rate": 0.00019833333333333335, |
| "loss": 6.5542, |
| "step": 120 |
| }, |
| { |
| "epoch": 0.04219727224775827, |
| "grad_norm": 0.7042223215103149, |
| "learning_rate": 0.00023166666666666667, |
| "loss": 6.3763, |
| "step": 140 |
| }, |
| { |
| "epoch": 0.04822545399743802, |
| "grad_norm": 0.6393540501594543, |
| "learning_rate": 0.00026500000000000004, |
| "loss": 6.2425, |
| "step": 160 |
| }, |
| { |
| "epoch": 0.05425363574711778, |
| "grad_norm": 0.6561896204948425, |
| "learning_rate": 0.00029833333333333334, |
| "loss": 6.1282, |
| "step": 180 |
| }, |
| { |
| "epoch": 0.06028181749679753, |
| "grad_norm": 1.1607221364974976, |
| "learning_rate": 0.0003316666666666667, |
| "loss": 5.9763, |
| "step": 200 |
| }, |
| { |
| "epoch": 0.06630999924647728, |
| "grad_norm": 1.0097905397415161, |
| "learning_rate": 0.000365, |
| "loss": 5.8254, |
| "step": 220 |
| }, |
| { |
| "epoch": 0.07233818099615703, |
| "grad_norm": 0.4747564494609833, |
| "learning_rate": 0.00039833333333333333, |
| "loss": 5.6952, |
| "step": 240 |
| }, |
| { |
| "epoch": 0.07836636274583679, |
| "grad_norm": 0.6741572022438049, |
| "learning_rate": 0.0004316666666666667, |
| "loss": 5.561, |
| "step": 260 |
| }, |
| { |
| "epoch": 0.08439454449551655, |
| "grad_norm": 0.8652853965759277, |
| "learning_rate": 0.000465, |
| "loss": 5.4164, |
| "step": 280 |
| }, |
| { |
| "epoch": 0.09042272624519629, |
| "grad_norm": 0.29904869198799133, |
| "learning_rate": 0.0004983333333333334, |
| "loss": 5.3297, |
| "step": 300 |
| }, |
| { |
| "epoch": 0.09042272624519629, |
| "eval_loss": 5.215795573862642, |
| "eval_perplexity": 184.15827422429723, |
| "eval_runtime": 112.8243, |
| "eval_samples_per_second": 14.704, |
| "eval_steps_per_second": 0.23, |
| "step": 300 |
| }, |
| { |
| "epoch": 0.09645090799487605, |
| "grad_norm": 0.46344780921936035, |
| "learning_rate": 0.0004964814814814814, |
| "loss": 5.2213, |
| "step": 320 |
| }, |
| { |
| "epoch": 0.1024790897445558, |
| "grad_norm": 0.4897235035896301, |
| "learning_rate": 0.0004927777777777777, |
| "loss": 5.1118, |
| "step": 340 |
| }, |
| { |
| "epoch": 0.10850727149423556, |
| "grad_norm": 0.8371343612670898, |
| "learning_rate": 0.0004890740740740741, |
| "loss": 5.0311, |
| "step": 360 |
| }, |
| { |
| "epoch": 0.1145354532439153, |
| "grad_norm": 0.40067142248153687, |
| "learning_rate": 0.0004853703703703704, |
| "loss": 4.9694, |
| "step": 380 |
| }, |
| { |
| "epoch": 0.12056363499359506, |
| "grad_norm": 0.4551117718219757, |
| "learning_rate": 0.0004816666666666667, |
| "loss": 4.8826, |
| "step": 400 |
| }, |
| { |
| "epoch": 0.1265918167432748, |
| "grad_norm": 0.5077718496322632, |
| "learning_rate": 0.00047796296296296297, |
| "loss": 4.8351, |
| "step": 420 |
| }, |
| { |
| "epoch": 0.13261999849295456, |
| "grad_norm": 0.3099275529384613, |
| "learning_rate": 0.0004742592592592593, |
| "loss": 4.7924, |
| "step": 440 |
| }, |
| { |
| "epoch": 0.1386481802426343, |
| "grad_norm": 0.6599226593971252, |
| "learning_rate": 0.00047055555555555555, |
| "loss": 4.7417, |
| "step": 460 |
| }, |
| { |
| "epoch": 0.14467636199231407, |
| "grad_norm": 0.2840152680873871, |
| "learning_rate": 0.00046685185185185187, |
| "loss": 4.7107, |
| "step": 480 |
| }, |
| { |
| "epoch": 0.15070454374199382, |
| "grad_norm": 0.3753263056278229, |
| "learning_rate": 0.00046314814814814813, |
| "loss": 4.6587, |
| "step": 500 |
| }, |
| { |
| "epoch": 0.15673272549167358, |
| "grad_norm": 0.6300585865974426, |
| "learning_rate": 0.00045944444444444445, |
| "loss": 4.6299, |
| "step": 520 |
| }, |
| { |
| "epoch": 0.16276090724135334, |
| "grad_norm": 0.35931190848350525, |
| "learning_rate": 0.0004557407407407407, |
| "loss": 4.5934, |
| "step": 540 |
| }, |
| { |
| "epoch": 0.1687890889910331, |
| "grad_norm": 0.4792696535587311, |
| "learning_rate": 0.00045203703703703703, |
| "loss": 4.5573, |
| "step": 560 |
| }, |
| { |
| "epoch": 0.17481727074071282, |
| "grad_norm": 0.3047443926334381, |
| "learning_rate": 0.0004483333333333333, |
| "loss": 4.5383, |
| "step": 580 |
| }, |
| { |
| "epoch": 0.18084545249039258, |
| "grad_norm": 0.42478007078170776, |
| "learning_rate": 0.00044462962962962967, |
| "loss": 4.5029, |
| "step": 600 |
| }, |
| { |
| "epoch": 0.18084545249039258, |
| "eval_loss": 4.455365447186089, |
| "eval_perplexity": 86.0876055704807, |
| "eval_runtime": 112.8601, |
| "eval_samples_per_second": 14.7, |
| "eval_steps_per_second": 0.23, |
| "step": 600 |
| }, |
| { |
| "epoch": 0.18687363424007233, |
| "grad_norm": 0.5473248958587646, |
| "learning_rate": 0.00044092592592592594, |
| "loss": 4.473, |
| "step": 620 |
| }, |
| { |
| "epoch": 0.1929018159897521, |
| "grad_norm": 0.2810865044593811, |
| "learning_rate": 0.00043722222222222225, |
| "loss": 4.452, |
| "step": 640 |
| }, |
| { |
| "epoch": 0.19892999773943185, |
| "grad_norm": 0.3900161683559418, |
| "learning_rate": 0.0004335185185185185, |
| "loss": 4.4294, |
| "step": 660 |
| }, |
| { |
| "epoch": 0.2049581794891116, |
| "grad_norm": 0.4204959273338318, |
| "learning_rate": 0.00042981481481481484, |
| "loss": 4.41, |
| "step": 680 |
| }, |
| { |
| "epoch": 0.21098636123879136, |
| "grad_norm": 0.3920799791812897, |
| "learning_rate": 0.0004261111111111111, |
| "loss": 4.3853, |
| "step": 700 |
| }, |
| { |
| "epoch": 0.21701454298847112, |
| "grad_norm": 0.5068658590316772, |
| "learning_rate": 0.0004224074074074074, |
| "loss": 4.3615, |
| "step": 720 |
| }, |
| { |
| "epoch": 0.22304272473815084, |
| "grad_norm": 0.35288578271865845, |
| "learning_rate": 0.0004187037037037037, |
| "loss": 4.3377, |
| "step": 740 |
| }, |
| { |
| "epoch": 0.2290709064878306, |
| "grad_norm": 0.3630707561969757, |
| "learning_rate": 0.000415, |
| "loss": 4.3168, |
| "step": 760 |
| }, |
| { |
| "epoch": 0.23509908823751036, |
| "grad_norm": 0.36306232213974, |
| "learning_rate": 0.00041129629629629627, |
| "loss": 4.3039, |
| "step": 780 |
| }, |
| { |
| "epoch": 0.2411272699871901, |
| "grad_norm": 0.3880031704902649, |
| "learning_rate": 0.00040759259259259264, |
| "loss": 4.2825, |
| "step": 800 |
| }, |
| { |
| "epoch": 0.24715545173686987, |
| "grad_norm": 0.3516429662704468, |
| "learning_rate": 0.0004038888888888889, |
| "loss": 4.2604, |
| "step": 820 |
| }, |
| { |
| "epoch": 0.2531836334865496, |
| "grad_norm": 0.4158916473388672, |
| "learning_rate": 0.0004001851851851852, |
| "loss": 4.2444, |
| "step": 840 |
| }, |
| { |
| "epoch": 0.2592118152362294, |
| "grad_norm": 0.3786226511001587, |
| "learning_rate": 0.0003964814814814815, |
| "loss": 4.2234, |
| "step": 860 |
| }, |
| { |
| "epoch": 0.2652399969859091, |
| "grad_norm": 0.39826563000679016, |
| "learning_rate": 0.0003927777777777778, |
| "loss": 4.2069, |
| "step": 880 |
| }, |
| { |
| "epoch": 0.2712681787355889, |
| "grad_norm": 0.3681701123714447, |
| "learning_rate": 0.00038907407407407407, |
| "loss": 4.1836, |
| "step": 900 |
| }, |
| { |
| "epoch": 0.2712681787355889, |
| "eval_loss": 4.133429888189484, |
| "eval_perplexity": 62.3915524114605, |
| "eval_runtime": 112.5243, |
| "eval_samples_per_second": 14.743, |
| "eval_steps_per_second": 0.231, |
| "step": 900 |
| }, |
| { |
| "epoch": 0.2772963604852686, |
| "grad_norm": 0.5110707879066467, |
| "learning_rate": 0.0003853703703703704, |
| "loss": 4.1709, |
| "step": 920 |
| }, |
| { |
| "epoch": 0.2833245422349484, |
| "grad_norm": 0.3312435746192932, |
| "learning_rate": 0.00038166666666666666, |
| "loss": 4.1599, |
| "step": 940 |
| }, |
| { |
| "epoch": 0.28935272398462814, |
| "grad_norm": 0.3452323079109192, |
| "learning_rate": 0.000377962962962963, |
| "loss": 4.1342, |
| "step": 960 |
| }, |
| { |
| "epoch": 0.29538090573430786, |
| "grad_norm": 0.3328576385974884, |
| "learning_rate": 0.00037425925925925924, |
| "loss": 4.1219, |
| "step": 980 |
| }, |
| { |
| "epoch": 0.30140908748398765, |
| "grad_norm": 0.46105054020881653, |
| "learning_rate": 0.0003705555555555556, |
| "loss": 4.118, |
| "step": 1000 |
| }, |
| { |
| "epoch": 0.3074372692336674, |
| "grad_norm": 0.4100669026374817, |
| "learning_rate": 0.0003668518518518519, |
| "loss": 4.0937, |
| "step": 1020 |
| }, |
| { |
| "epoch": 0.31346545098334716, |
| "grad_norm": 0.45084893703460693, |
| "learning_rate": 0.0003631481481481482, |
| "loss": 4.0767, |
| "step": 1040 |
| }, |
| { |
| "epoch": 0.3194936327330269, |
| "grad_norm": 0.3935777544975281, |
| "learning_rate": 0.00035944444444444446, |
| "loss": 4.0719, |
| "step": 1060 |
| }, |
| { |
| "epoch": 0.3255218144827067, |
| "grad_norm": 0.3900182545185089, |
| "learning_rate": 0.0003557407407407408, |
| "loss": 4.0622, |
| "step": 1080 |
| }, |
| { |
| "epoch": 0.3315499962323864, |
| "grad_norm": 0.340773344039917, |
| "learning_rate": 0.00035203703703703704, |
| "loss": 4.0458, |
| "step": 1100 |
| }, |
| { |
| "epoch": 0.3375781779820662, |
| "grad_norm": 0.32752472162246704, |
| "learning_rate": 0.00034833333333333336, |
| "loss": 4.0316, |
| "step": 1120 |
| }, |
| { |
| "epoch": 0.3436063597317459, |
| "grad_norm": 0.40199995040893555, |
| "learning_rate": 0.0003446296296296296, |
| "loss": 4.0227, |
| "step": 1140 |
| }, |
| { |
| "epoch": 0.34963454148142564, |
| "grad_norm": 0.35206139087677, |
| "learning_rate": 0.0003409259259259259, |
| "loss": 4.0116, |
| "step": 1160 |
| }, |
| { |
| "epoch": 0.3556627232311054, |
| "grad_norm": 0.3591882884502411, |
| "learning_rate": 0.0003372222222222222, |
| "loss": 4.0005, |
| "step": 1180 |
| }, |
| { |
| "epoch": 0.36169090498078516, |
| "grad_norm": 0.28603240847587585, |
| "learning_rate": 0.0003335185185185185, |
| "loss": 3.9962, |
| "step": 1200 |
| }, |
| { |
| "epoch": 0.36169090498078516, |
| "eval_loss": 3.943046739341145, |
| "eval_perplexity": 51.57549926821255, |
| "eval_runtime": 112.6141, |
| "eval_samples_per_second": 14.732, |
| "eval_steps_per_second": 0.231, |
| "step": 1200 |
| }, |
| { |
| "epoch": 0.36771908673046494, |
| "grad_norm": 0.39475950598716736, |
| "learning_rate": 0.00032981481481481485, |
| "loss": 3.9885, |
| "step": 1220 |
| }, |
| { |
| "epoch": 0.37374726848014467, |
| "grad_norm": 0.29654407501220703, |
| "learning_rate": 0.0003261111111111111, |
| "loss": 3.9779, |
| "step": 1240 |
| }, |
| { |
| "epoch": 0.37977545022982445, |
| "grad_norm": 0.37094104290008545, |
| "learning_rate": 0.00032240740740740743, |
| "loss": 3.9649, |
| "step": 1260 |
| }, |
| { |
| "epoch": 0.3858036319795042, |
| "grad_norm": 0.35296326875686646, |
| "learning_rate": 0.0003187037037037037, |
| "loss": 3.9592, |
| "step": 1280 |
| }, |
| { |
| "epoch": 0.3918318137291839, |
| "grad_norm": 0.38376501202583313, |
| "learning_rate": 0.000315, |
| "loss": 3.9532, |
| "step": 1300 |
| }, |
| { |
| "epoch": 0.3978599954788637, |
| "grad_norm": 0.367652028799057, |
| "learning_rate": 0.0003112962962962963, |
| "loss": 3.9428, |
| "step": 1320 |
| }, |
| { |
| "epoch": 0.4038881772285434, |
| "grad_norm": 0.3195006847381592, |
| "learning_rate": 0.0003075925925925926, |
| "loss": 3.9389, |
| "step": 1340 |
| }, |
| { |
| "epoch": 0.4099163589782232, |
| "grad_norm": 0.3439401686191559, |
| "learning_rate": 0.00030388888888888886, |
| "loss": 3.9316, |
| "step": 1360 |
| }, |
| { |
| "epoch": 0.41594454072790293, |
| "grad_norm": 0.33015045523643494, |
| "learning_rate": 0.0003001851851851852, |
| "loss": 3.9261, |
| "step": 1380 |
| }, |
| { |
| "epoch": 0.4219727224775827, |
| "grad_norm": 0.40396958589553833, |
| "learning_rate": 0.00029648148148148144, |
| "loss": 3.9188, |
| "step": 1400 |
| }, |
| { |
| "epoch": 0.42800090422726245, |
| "grad_norm": 0.3784024119377136, |
| "learning_rate": 0.0002927777777777778, |
| "loss": 3.9163, |
| "step": 1420 |
| }, |
| { |
| "epoch": 0.43402908597694223, |
| "grad_norm": 0.40174204111099243, |
| "learning_rate": 0.0002890740740740741, |
| "loss": 3.9013, |
| "step": 1440 |
| }, |
| { |
| "epoch": 0.44005726772662196, |
| "grad_norm": 0.34229812026023865, |
| "learning_rate": 0.0002853703703703704, |
| "loss": 3.9055, |
| "step": 1460 |
| }, |
| { |
| "epoch": 0.4460854494763017, |
| "grad_norm": 0.3183324635028839, |
| "learning_rate": 0.00028166666666666666, |
| "loss": 3.8986, |
| "step": 1480 |
| }, |
| { |
| "epoch": 0.45211363122598147, |
| "grad_norm": 0.3185831308364868, |
| "learning_rate": 0.000277962962962963, |
| "loss": 3.8919, |
| "step": 1500 |
| }, |
| { |
| "epoch": 0.45211363122598147, |
| "eval_loss": 3.8387107361752624, |
| "eval_perplexity": 46.46552947940307, |
| "eval_runtime": 112.6834, |
| "eval_samples_per_second": 14.723, |
| "eval_steps_per_second": 0.231, |
| "step": 1500 |
| }, |
| { |
| "epoch": 0.4581418129756612, |
| "grad_norm": 0.33784908056259155, |
| "learning_rate": 0.00027425925925925925, |
| "loss": 3.8844, |
| "step": 1520 |
| }, |
| { |
| "epoch": 0.464169994725341, |
| "grad_norm": 0.3474332392215729, |
| "learning_rate": 0.00027055555555555557, |
| "loss": 3.8814, |
| "step": 1540 |
| }, |
| { |
| "epoch": 0.4701981764750207, |
| "grad_norm": 0.34041211009025574, |
| "learning_rate": 0.00026685185185185183, |
| "loss": 3.8697, |
| "step": 1560 |
| }, |
| { |
| "epoch": 0.4762263582247005, |
| "grad_norm": 0.317830890417099, |
| "learning_rate": 0.00026314814814814815, |
| "loss": 3.8683, |
| "step": 1580 |
| }, |
| { |
| "epoch": 0.4822545399743802, |
| "grad_norm": 0.33679041266441345, |
| "learning_rate": 0.0002594444444444444, |
| "loss": 3.8539, |
| "step": 1600 |
| }, |
| { |
| "epoch": 0.48828272172405995, |
| "grad_norm": 0.31559520959854126, |
| "learning_rate": 0.0002557407407407408, |
| "loss": 3.8625, |
| "step": 1620 |
| }, |
| { |
| "epoch": 0.49431090347373974, |
| "grad_norm": 0.3042216897010803, |
| "learning_rate": 0.00025203703703703705, |
| "loss": 3.8522, |
| "step": 1640 |
| }, |
| { |
| "epoch": 0.5003390852234195, |
| "grad_norm": 0.30980879068374634, |
| "learning_rate": 0.0002483333333333333, |
| "loss": 3.8493, |
| "step": 1660 |
| }, |
| { |
| "epoch": 0.5063672669730992, |
| "grad_norm": 0.3831731677055359, |
| "learning_rate": 0.00024462962962962963, |
| "loss": 3.847, |
| "step": 1680 |
| }, |
| { |
| "epoch": 0.512395448722779, |
| "grad_norm": 0.4048588275909424, |
| "learning_rate": 0.00024092592592592593, |
| "loss": 3.8349, |
| "step": 1700 |
| }, |
| { |
| "epoch": 0.5184236304724588, |
| "grad_norm": 0.2709442377090454, |
| "learning_rate": 0.00023722222222222222, |
| "loss": 3.8346, |
| "step": 1720 |
| }, |
| { |
| "epoch": 0.5244518122221385, |
| "grad_norm": 0.36984342336654663, |
| "learning_rate": 0.0002335185185185185, |
| "loss": 3.8332, |
| "step": 1740 |
| }, |
| { |
| "epoch": 0.5304799939718182, |
| "grad_norm": 0.32902956008911133, |
| "learning_rate": 0.0002298148148148148, |
| "loss": 3.8301, |
| "step": 1760 |
| }, |
| { |
| "epoch": 0.536508175721498, |
| "grad_norm": 0.3468938171863556, |
| "learning_rate": 0.00022611111111111112, |
| "loss": 3.8199, |
| "step": 1780 |
| }, |
| { |
| "epoch": 0.5425363574711778, |
| "grad_norm": 0.329237163066864, |
| "learning_rate": 0.0002224074074074074, |
| "loss": 3.8233, |
| "step": 1800 |
| }, |
| { |
| "epoch": 0.5425363574711778, |
| "eval_loss": 3.770818455511187, |
| "eval_perplexity": 43.415584022446424, |
| "eval_runtime": 112.6023, |
| "eval_samples_per_second": 14.733, |
| "eval_steps_per_second": 0.231, |
| "step": 1800 |
| }, |
| { |
| "epoch": 0.5485645392208575, |
| "grad_norm": 0.39494046568870544, |
| "learning_rate": 0.0002187037037037037, |
| "loss": 3.8195, |
| "step": 1820 |
| }, |
| { |
| "epoch": 0.5545927209705372, |
| "grad_norm": 0.338908314704895, |
| "learning_rate": 0.000215, |
| "loss": 3.8122, |
| "step": 1840 |
| }, |
| { |
| "epoch": 0.560620902720217, |
| "grad_norm": 0.3257177472114563, |
| "learning_rate": 0.00021129629629629629, |
| "loss": 3.8042, |
| "step": 1860 |
| }, |
| { |
| "epoch": 0.5666490844698968, |
| "grad_norm": 0.3085819184780121, |
| "learning_rate": 0.0002075925925925926, |
| "loss": 3.8046, |
| "step": 1880 |
| }, |
| { |
| "epoch": 0.5726772662195765, |
| "grad_norm": 0.3287888169288635, |
| "learning_rate": 0.0002038888888888889, |
| "loss": 3.7973, |
| "step": 1900 |
| }, |
| { |
| "epoch": 0.5787054479692563, |
| "grad_norm": 0.32657161355018616, |
| "learning_rate": 0.0002001851851851852, |
| "loss": 3.7999, |
| "step": 1920 |
| }, |
| { |
| "epoch": 0.584733629718936, |
| "grad_norm": 0.35923653841018677, |
| "learning_rate": 0.00019648148148148148, |
| "loss": 3.7944, |
| "step": 1940 |
| }, |
| { |
| "epoch": 0.5907618114686157, |
| "grad_norm": 0.29656362533569336, |
| "learning_rate": 0.00019277777777777777, |
| "loss": 3.7943, |
| "step": 1960 |
| }, |
| { |
| "epoch": 0.5967899932182955, |
| "grad_norm": 0.29753783345222473, |
| "learning_rate": 0.00018907407407407406, |
| "loss": 3.7822, |
| "step": 1980 |
| }, |
| { |
| "epoch": 0.6028181749679753, |
| "grad_norm": 0.4390193521976471, |
| "learning_rate": 0.00018537037037037038, |
| "loss": 3.7844, |
| "step": 2000 |
| }, |
| { |
| "epoch": 0.6088463567176551, |
| "grad_norm": 0.30851641297340393, |
| "learning_rate": 0.00018166666666666667, |
| "loss": 3.7798, |
| "step": 2020 |
| }, |
| { |
| "epoch": 0.6148745384673348, |
| "grad_norm": 0.30867844820022583, |
| "learning_rate": 0.00017796296296296296, |
| "loss": 3.775, |
| "step": 2040 |
| }, |
| { |
| "epoch": 0.6209027202170145, |
| "grad_norm": 0.27897268533706665, |
| "learning_rate": 0.00017425925925925926, |
| "loss": 3.7755, |
| "step": 2060 |
| }, |
| { |
| "epoch": 0.6269309019666943, |
| "grad_norm": 0.30619484186172485, |
| "learning_rate": 0.00017055555555555555, |
| "loss": 3.7732, |
| "step": 2080 |
| }, |
| { |
| "epoch": 0.632959083716374, |
| "grad_norm": 0.3682888150215149, |
| "learning_rate": 0.00016685185185185187, |
| "loss": 3.7683, |
| "step": 2100 |
| }, |
| { |
| "epoch": 0.632959083716374, |
| "eval_loss": 3.721253386914116, |
| "eval_perplexity": 41.31614678649486, |
| "eval_runtime": 112.4817, |
| "eval_samples_per_second": 14.749, |
| "eval_steps_per_second": 0.231, |
| "step": 2100 |
| }, |
| { |
| "epoch": 0.6389872654660538, |
| "grad_norm": 0.2890338599681854, |
| "learning_rate": 0.00016314814814814816, |
| "loss": 3.7673, |
| "step": 2120 |
| }, |
| { |
| "epoch": 0.6450154472157336, |
| "grad_norm": 0.31391507387161255, |
| "learning_rate": 0.00015944444444444445, |
| "loss": 3.7657, |
| "step": 2140 |
| }, |
| { |
| "epoch": 0.6510436289654133, |
| "grad_norm": 0.4431641697883606, |
| "learning_rate": 0.00015574074074074074, |
| "loss": 3.7629, |
| "step": 2160 |
| }, |
| { |
| "epoch": 0.657071810715093, |
| "grad_norm": 0.26458096504211426, |
| "learning_rate": 0.00015203703703703703, |
| "loss": 3.7619, |
| "step": 2180 |
| }, |
| { |
| "epoch": 0.6630999924647728, |
| "grad_norm": 0.3415466547012329, |
| "learning_rate": 0.00014833333333333335, |
| "loss": 3.7578, |
| "step": 2200 |
| }, |
| { |
| "epoch": 0.6691281742144526, |
| "grad_norm": 0.39624544978141785, |
| "learning_rate": 0.00014462962962962964, |
| "loss": 3.7545, |
| "step": 2220 |
| }, |
| { |
| "epoch": 0.6751563559641324, |
| "grad_norm": 0.2807711362838745, |
| "learning_rate": 0.00014092592592592594, |
| "loss": 3.7538, |
| "step": 2240 |
| }, |
| { |
| "epoch": 0.681184537713812, |
| "grad_norm": 0.2499433159828186, |
| "learning_rate": 0.00013722222222222223, |
| "loss": 3.7406, |
| "step": 2260 |
| }, |
| { |
| "epoch": 0.6872127194634918, |
| "grad_norm": 0.268779993057251, |
| "learning_rate": 0.00013351851851851852, |
| "loss": 3.7475, |
| "step": 2280 |
| }, |
| { |
| "epoch": 0.6932409012131716, |
| "grad_norm": 0.35491231083869934, |
| "learning_rate": 0.00012981481481481484, |
| "loss": 3.7418, |
| "step": 2300 |
| }, |
| { |
| "epoch": 0.6992690829628513, |
| "grad_norm": 0.27142778038978577, |
| "learning_rate": 0.00012611111111111113, |
| "loss": 3.7349, |
| "step": 2320 |
| }, |
| { |
| "epoch": 0.7052972647125311, |
| "grad_norm": 0.4189681112766266, |
| "learning_rate": 0.00012240740740740742, |
| "loss": 3.7365, |
| "step": 2340 |
| }, |
| { |
| "epoch": 0.7113254464622109, |
| "grad_norm": 0.3451978266239166, |
| "learning_rate": 0.0001187037037037037, |
| "loss": 3.7363, |
| "step": 2360 |
| }, |
| { |
| "epoch": 0.7173536282118906, |
| "grad_norm": 0.30949023365974426, |
| "learning_rate": 0.000115, |
| "loss": 3.7269, |
| "step": 2380 |
| }, |
| { |
| "epoch": 0.7233818099615703, |
| "grad_norm": 0.26108455657958984, |
| "learning_rate": 0.0001112962962962963, |
| "loss": 3.7345, |
| "step": 2400 |
| }, |
| { |
| "epoch": 0.7233818099615703, |
| "eval_loss": 3.682990132542246, |
| "eval_perplexity": 39.765119459534034, |
| "eval_runtime": 112.6093, |
| "eval_samples_per_second": 14.732, |
| "eval_steps_per_second": 0.231, |
| "step": 2400 |
| }, |
| { |
| "epoch": 0.7294099917112501, |
| "grad_norm": 0.24509066343307495, |
| "learning_rate": 0.00010759259259259259, |
| "loss": 3.7306, |
| "step": 2420 |
| }, |
| { |
| "epoch": 0.7354381734609299, |
| "grad_norm": 0.24950160086154938, |
| "learning_rate": 0.00010388888888888889, |
| "loss": 3.7287, |
| "step": 2440 |
| }, |
| { |
| "epoch": 0.7414663552106096, |
| "grad_norm": 0.25740230083465576, |
| "learning_rate": 0.00010018518518518518, |
| "loss": 3.7295, |
| "step": 2460 |
| }, |
| { |
| "epoch": 0.7474945369602893, |
| "grad_norm": 0.2500341832637787, |
| "learning_rate": 9.648148148148149e-05, |
| "loss": 3.7216, |
| "step": 2480 |
| }, |
| { |
| "epoch": 0.7535227187099691, |
| "grad_norm": 0.3777545392513275, |
| "learning_rate": 9.277777777777778e-05, |
| "loss": 3.722, |
| "step": 2500 |
| }, |
| { |
| "epoch": 0.7595509004596489, |
| "grad_norm": 0.2761068344116211, |
| "learning_rate": 8.907407407407407e-05, |
| "loss": 3.721, |
| "step": 2520 |
| }, |
| { |
| "epoch": 0.7655790822093286, |
| "grad_norm": 0.27542102336883545, |
| "learning_rate": 8.537037037037038e-05, |
| "loss": 3.7207, |
| "step": 2540 |
| }, |
| { |
| "epoch": 0.7716072639590084, |
| "grad_norm": 0.23626072704792023, |
| "learning_rate": 8.166666666666667e-05, |
| "loss": 3.7152, |
| "step": 2560 |
| }, |
| { |
| "epoch": 0.7776354457086881, |
| "grad_norm": 0.24672257900238037, |
| "learning_rate": 7.796296296296296e-05, |
| "loss": 3.7139, |
| "step": 2580 |
| }, |
| { |
| "epoch": 0.7836636274583678, |
| "grad_norm": 0.23259390890598297, |
| "learning_rate": 7.425925925925927e-05, |
| "loss": 3.7085, |
| "step": 2600 |
| }, |
| { |
| "epoch": 0.7896918092080476, |
| "grad_norm": 0.24034681916236877, |
| "learning_rate": 7.055555555555556e-05, |
| "loss": 3.7146, |
| "step": 2620 |
| }, |
| { |
| "epoch": 0.7957199909577274, |
| "grad_norm": 0.2229200005531311, |
| "learning_rate": 6.685185185185186e-05, |
| "loss": 3.7112, |
| "step": 2640 |
| }, |
| { |
| "epoch": 0.8017481727074072, |
| "grad_norm": 0.23400990664958954, |
| "learning_rate": 6.314814814814815e-05, |
| "loss": 3.7109, |
| "step": 2660 |
| }, |
| { |
| "epoch": 0.8077763544570868, |
| "grad_norm": 0.24455134570598602, |
| "learning_rate": 5.9444444444444445e-05, |
| "loss": 3.7033, |
| "step": 2680 |
| }, |
| { |
| "epoch": 0.8138045362067666, |
| "grad_norm": 0.22538278996944427, |
| "learning_rate": 5.5740740740740744e-05, |
| "loss": 3.706, |
| "step": 2700 |
| }, |
| { |
| "epoch": 0.8138045362067666, |
| "eval_loss": 3.6566177565628872, |
| "eval_perplexity": 38.730126377599234, |
| "eval_runtime": 112.791, |
| "eval_samples_per_second": 14.709, |
| "eval_steps_per_second": 0.231, |
| "step": 2700 |
| }, |
| { |
| "epoch": 0.8198327179564464, |
| "grad_norm": 0.22014465928077698, |
| "learning_rate": 5.2037037037037035e-05, |
| "loss": 3.7037, |
| "step": 2720 |
| }, |
| { |
| "epoch": 0.8258608997061262, |
| "grad_norm": 0.2345183938741684, |
| "learning_rate": 4.8333333333333334e-05, |
| "loss": 3.7059, |
| "step": 2740 |
| }, |
| { |
| "epoch": 0.8318890814558059, |
| "grad_norm": 0.21457970142364502, |
| "learning_rate": 4.462962962962963e-05, |
| "loss": 3.7008, |
| "step": 2760 |
| }, |
| { |
| "epoch": 0.8379172632054857, |
| "grad_norm": 0.21294698119163513, |
| "learning_rate": 4.092592592592593e-05, |
| "loss": 3.699, |
| "step": 2780 |
| }, |
| { |
| "epoch": 0.8439454449551654, |
| "grad_norm": 0.22244296967983246, |
| "learning_rate": 3.722222222222222e-05, |
| "loss": 3.7013, |
| "step": 2800 |
| }, |
| { |
| "epoch": 0.8499736267048451, |
| "grad_norm": 0.2127576470375061, |
| "learning_rate": 3.351851851851852e-05, |
| "loss": 3.7033, |
| "step": 2820 |
| }, |
| { |
| "epoch": 0.8560018084545249, |
| "grad_norm": 0.2008371353149414, |
| "learning_rate": 2.9814814814814815e-05, |
| "loss": 3.696, |
| "step": 2840 |
| }, |
| { |
| "epoch": 0.8620299902042047, |
| "grad_norm": 0.22562889754772186, |
| "learning_rate": 2.6111111111111114e-05, |
| "loss": 3.6925, |
| "step": 2860 |
| }, |
| { |
| "epoch": 0.8680581719538845, |
| "grad_norm": 0.19617195427417755, |
| "learning_rate": 2.240740740740741e-05, |
| "loss": 3.6972, |
| "step": 2880 |
| }, |
| { |
| "epoch": 0.8740863537035641, |
| "grad_norm": 0.1990758776664734, |
| "learning_rate": 1.8703703703703707e-05, |
| "loss": 3.692, |
| "step": 2900 |
| }, |
| { |
| "epoch": 0.8801145354532439, |
| "grad_norm": 0.20326583087444305, |
| "learning_rate": 1.5e-05, |
| "loss": 3.6965, |
| "step": 2920 |
| }, |
| { |
| "epoch": 0.8861427172029237, |
| "grad_norm": 0.186484694480896, |
| "learning_rate": 1.1296296296296295e-05, |
| "loss": 3.6869, |
| "step": 2940 |
| }, |
| { |
| "epoch": 0.8921708989526034, |
| "grad_norm": 0.1895342916250229, |
| "learning_rate": 7.592592592592593e-06, |
| "loss": 3.6835, |
| "step": 2960 |
| }, |
| { |
| "epoch": 0.8981990807022832, |
| "grad_norm": 0.17950916290283203, |
| "learning_rate": 3.888888888888889e-06, |
| "loss": 3.6912, |
| "step": 2980 |
| }, |
| { |
| "epoch": 0.9042272624519629, |
| "grad_norm": 0.18661454319953918, |
| "learning_rate": 1.8518518518518518e-07, |
| "loss": 3.6943, |
| "step": 3000 |
| }, |
| { |
| "epoch": 0.9042272624519629, |
| "eval_loss": 3.6425010418158132, |
| "eval_perplexity": 38.18722523749619, |
| "eval_runtime": 112.6033, |
| "eval_samples_per_second": 14.733, |
| "eval_steps_per_second": 0.231, |
| "step": 3000 |
| } |
| ], |
| "logging_steps": 20, |
| "max_steps": 3000, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 1, |
| "save_steps": 300, |
| "stateful_callbacks": { |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": true |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 1.320737071693824e+18, |
| "train_batch_size": 64, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|
