diff --git "a/trainer_state.json" "b/trainer_state.json" new file mode 100644--- /dev/null +++ "b/trainer_state.json" @@ -0,0 +1,5518 @@ +{ + "best_metric": null, + "best_model_checkpoint": null, + "epoch": 0.5, + "eval_steps": 250, + "global_step": 500, + "is_hyper_param_search": false, + "is_local_process_zero": true, + "is_world_process_zero": true, + "log_history": [ + { + "epoch": 0.001, + "grad_norm": 0.000537872314453125, + "learning_rate": 2.0000000000000002e-07, + "loss": 0.0002, + "loss/crossentropy": 0.8766392022371292, + "loss/hidden": 0.0, + "loss/logits": 0.00021765431665698998, + "step": 1 + }, + { + "epoch": 0.002, + "grad_norm": 0.384765625, + "learning_rate": 4.0000000000000003e-07, + "loss": 0.0055, + "loss/crossentropy": 1.988494873046875, + "loss/hidden": 0.0043487548828125, + "loss/logits": 0.0011881994432769716, + "step": 2 + }, + { + "epoch": 0.003, + "grad_norm": 0.328125, + "learning_rate": 6.000000000000001e-07, + "loss": 0.0056, + "loss/crossentropy": 1.8016360402107239, + "loss/hidden": 0.0044403076171875, + "loss/logits": 0.0011122562573291361, + "step": 3 + }, + { + "epoch": 0.004, + "grad_norm": 0.490234375, + "learning_rate": 8.000000000000001e-07, + "loss": 0.0053, + "loss/crossentropy": 1.0765393376350403, + "loss/hidden": 0.004302978515625, + "loss/logits": 0.000948212924413383, + "step": 4 + }, + { + "epoch": 0.005, + "grad_norm": 0.28125, + "learning_rate": 1.0000000000000002e-06, + "loss": 0.0052, + "loss/crossentropy": 1.7854897379875183, + "loss/hidden": 0.004058837890625, + "loss/logits": 0.0011507467716000974, + "step": 5 + }, + { + "epoch": 0.006, + "grad_norm": 0.3828125, + "learning_rate": 1.2000000000000002e-06, + "loss": 0.0055, + "loss/crossentropy": 2.4101182222366333, + "loss/hidden": 0.004180908203125, + "loss/logits": 0.0012829686747863889, + "step": 6 + }, + { + "epoch": 0.007, + "grad_norm": 0.61328125, + "learning_rate": 1.4000000000000001e-06, + "loss": 0.0058, + "loss/crossentropy": 1.992232859134674, + "loss/hidden": 0.004608154296875, + "loss/logits": 0.0011995871318504214, + "step": 7 + }, + { + "epoch": 0.008, + "grad_norm": 0.283203125, + "learning_rate": 1.6000000000000001e-06, + "loss": 0.0051, + "loss/crossentropy": 2.268880248069763, + "loss/hidden": 0.00394439697265625, + "loss/logits": 0.0012029792997054756, + "step": 8 + }, + { + "epoch": 0.009, + "grad_norm": 0.384765625, + "learning_rate": 1.8000000000000001e-06, + "loss": 0.0055, + "loss/crossentropy": 2.190282464027405, + "loss/hidden": 0.00421142578125, + "loss/logits": 0.0012559492606669664, + "step": 9 + }, + { + "epoch": 0.01, + "grad_norm": 0.4765625, + "learning_rate": 2.0000000000000003e-06, + "loss": 0.0057, + "loss/crossentropy": 1.7616363763809204, + "loss/hidden": 0.0045318603515625, + "loss/logits": 0.0011331779533065856, + "step": 10 + }, + { + "epoch": 0.011, + "grad_norm": 0.328125, + "learning_rate": 2.2e-06, + "loss": 0.0053, + "loss/crossentropy": 2.4380578994750977, + "loss/hidden": 0.00406646728515625, + "loss/logits": 0.0012633077567443252, + "step": 11 + }, + { + "epoch": 0.012, + "grad_norm": 0.60546875, + "learning_rate": 2.4000000000000003e-06, + "loss": 0.0083, + "loss/crossentropy": 1.8881370425224304, + "loss/hidden": 0.006866455078125, + "loss/logits": 0.0014203558093868196, + "step": 12 + }, + { + "epoch": 0.013, + "grad_norm": 0.7734375, + "learning_rate": 2.6e-06, + "loss": 0.0096, + "loss/crossentropy": 1.7407108545303345, + "loss/hidden": 0.008087158203125, + "loss/logits": 0.0015171858831308782, + "step": 13 + }, + { + "epoch": 0.014, + "grad_norm": 0.6171875, + "learning_rate": 2.8000000000000003e-06, + "loss": 0.0088, + "loss/crossentropy": 2.006006360054016, + "loss/hidden": 0.0072479248046875, + "loss/logits": 0.0015724042314104736, + "step": 14 + }, + { + "epoch": 0.015, + "grad_norm": 0.5234375, + "learning_rate": 3e-06, + "loss": 0.008, + "loss/crossentropy": 1.985671579837799, + "loss/hidden": 0.006500244140625, + "loss/logits": 0.001542731188237667, + "step": 15 + }, + { + "epoch": 0.016, + "grad_norm": 0.470703125, + "grad_norm_var": 0.032565849785108486, + "learning_rate": 3.2000000000000003e-06, + "loss": 0.0078, + "loss/crossentropy": 2.473353385925293, + "loss/hidden": 0.0061492919921875, + "loss/logits": 0.0016758597921580076, + "step": 16 + }, + { + "epoch": 0.017, + "grad_norm": 0.4296875, + "grad_norm_var": 0.019274123509724937, + "learning_rate": 3.4000000000000005e-06, + "loss": 0.008, + "loss/crossentropy": 1.7784300446510315, + "loss/hidden": 0.0065765380859375, + "loss/logits": 0.0014022670220583677, + "step": 17 + }, + { + "epoch": 0.018, + "grad_norm": 0.7109375, + "grad_norm_var": 0.022616004943847655, + "learning_rate": 3.6000000000000003e-06, + "loss": 0.0077, + "loss/crossentropy": 1.1124538108706474, + "loss/hidden": 0.0066070556640625, + "loss/logits": 0.0011093285284005105, + "step": 18 + }, + { + "epoch": 0.019, + "grad_norm": 0.392578125, + "grad_norm_var": 0.021560144424438477, + "learning_rate": 3.8000000000000005e-06, + "loss": 0.0077, + "loss/crossentropy": 1.8864194750785828, + "loss/hidden": 0.006195068359375, + "loss/logits": 0.0014855173067189753, + "step": 19 + }, + { + "epoch": 0.02, + "grad_norm": 0.5234375, + "grad_norm_var": 0.021651204427083334, + "learning_rate": 4.000000000000001e-06, + "loss": 0.0077, + "loss/crossentropy": 1.7746207118034363, + "loss/hidden": 0.00634765625, + "loss/logits": 0.0013394113047979772, + "step": 20 + }, + { + "epoch": 0.021, + "grad_norm": 0.44140625, + "grad_norm_var": 0.018854204813639322, + "learning_rate": 4.2000000000000004e-06, + "loss": 0.0076, + "loss/crossentropy": 2.1028923988342285, + "loss/hidden": 0.0061798095703125, + "loss/logits": 0.0014341563801281154, + "step": 21 + }, + { + "epoch": 0.022, + "grad_norm": 0.51171875, + "grad_norm_var": 0.017924753824869792, + "learning_rate": 4.4e-06, + "loss": 0.0115, + "loss/crossentropy": 1.9447378516197205, + "loss/hidden": 0.00946044921875, + "loss/logits": 0.0020560644334182143, + "step": 22 + }, + { + "epoch": 0.023, + "grad_norm": 0.6640625, + "grad_norm_var": 0.018816566467285155, + "learning_rate": 4.600000000000001e-06, + "loss": 0.0134, + "loss/crossentropy": 1.6007800102233887, + "loss/hidden": 0.011474609375, + "loss/logits": 0.0019165858393535018, + "step": 23 + }, + { + "epoch": 0.024, + "grad_norm": 0.91796875, + "grad_norm_var": 0.024927632013956705, + "learning_rate": 4.800000000000001e-06, + "loss": 0.0117, + "loss/crossentropy": 1.1415547728538513, + "loss/hidden": 0.010284423828125, + "loss/logits": 0.0013778514403384179, + "step": 24 + }, + { + "epoch": 0.025, + "grad_norm": 0.474609375, + "grad_norm_var": 0.02347410519917806, + "learning_rate": 5e-06, + "loss": 0.0107, + "loss/crossentropy": 2.0954560041427612, + "loss/hidden": 0.00872802734375, + "loss/logits": 0.0019610102754086256, + "step": 25 + }, + { + "epoch": 0.026, + "grad_norm": 1.03125, + "grad_norm_var": 0.03698919614156087, + "learning_rate": 5.2e-06, + "loss": 0.0129, + "loss/crossentropy": 0.9556205421686172, + "loss/hidden": 0.0118408203125, + "loss/logits": 0.0010545893164817244, + "step": 26 + }, + { + "epoch": 0.027, + "grad_norm": 0.65234375, + "grad_norm_var": 0.03230322202046712, + "learning_rate": 5.400000000000001e-06, + "loss": 0.0106, + "loss/crossentropy": 1.372634619474411, + "loss/hidden": 0.009185791015625, + "loss/logits": 0.0014620812726207078, + "step": 27 + }, + { + "epoch": 0.028, + "grad_norm": 0.64453125, + "grad_norm_var": 0.03238142331441243, + "learning_rate": 5.600000000000001e-06, + "loss": 0.0121, + "loss/crossentropy": 1.6492629051208496, + "loss/hidden": 0.010223388671875, + "loss/logits": 0.0018439113046042621, + "step": 28 + }, + { + "epoch": 0.029, + "grad_norm": 0.546875, + "grad_norm_var": 0.03068884213765462, + "learning_rate": 5.8e-06, + "loss": 0.0108, + "loss/crossentropy": 1.8000301718711853, + "loss/hidden": 0.009033203125, + "loss/logits": 0.0017924956628121436, + "step": 29 + }, + { + "epoch": 0.03, + "grad_norm": 0.388671875, + "grad_norm_var": 0.03333886464436849, + "learning_rate": 6e-06, + "loss": 0.0105, + "loss/crossentropy": 1.7418496012687683, + "loss/hidden": 0.00885009765625, + "loss/logits": 0.0016374444239772856, + "step": 30 + }, + { + "epoch": 0.031, + "grad_norm": 0.65234375, + "grad_norm_var": 0.03335774739583333, + "learning_rate": 6.200000000000001e-06, + "loss": 0.0108, + "loss/crossentropy": 1.4579273164272308, + "loss/hidden": 0.009185791015625, + "loss/logits": 0.001588685205206275, + "step": 31 + }, + { + "epoch": 0.032, + "grad_norm": 0.56640625, + "grad_norm_var": 0.03239744504292806, + "learning_rate": 6.4000000000000006e-06, + "loss": 0.0154, + "loss/crossentropy": 1.6372994184494019, + "loss/hidden": 0.013214111328125, + "loss/logits": 0.0022216038778424263, + "step": 32 + }, + { + "epoch": 0.033, + "grad_norm": 1.3828125, + "grad_norm_var": 0.06793796221415202, + "learning_rate": 6.600000000000001e-06, + "loss": 0.0166, + "loss/crossentropy": 1.036409616470337, + "loss/hidden": 0.015045166015625, + "loss/logits": 0.0015461337170563638, + "step": 33 + }, + { + "epoch": 0.034, + "grad_norm": 0.56640625, + "grad_norm_var": 0.06819202105204264, + "learning_rate": 6.800000000000001e-06, + "loss": 0.0148, + "loss/crossentropy": 2.006142556667328, + "loss/hidden": 0.012542724609375, + "loss/logits": 0.002277214080095291, + "step": 34 + }, + { + "epoch": 0.035, + "grad_norm": 1.1328125, + "grad_norm_var": 0.07729434967041016, + "learning_rate": 7e-06, + "loss": 0.016, + "loss/crossentropy": 1.842608094215393, + "loss/hidden": 0.013641357421875, + "loss/logits": 0.0023830662248656154, + "step": 35 + }, + { + "epoch": 0.036, + "grad_norm": 0.7265625, + "grad_norm_var": 0.07526442209879557, + "learning_rate": 7.2000000000000005e-06, + "loss": 0.016, + "loss/crossentropy": 1.9097451567649841, + "loss/hidden": 0.013580322265625, + "loss/logits": 0.0024145807838067412, + "step": 36 + }, + { + "epoch": 0.037, + "grad_norm": 57.0, + "grad_norm_var": 198.00732879638673, + "learning_rate": 7.4e-06, + "loss": 0.0439, + "loss/crossentropy": 1.5945889949798584, + "loss/hidden": 0.0399169921875, + "loss/logits": 0.003960137953981757, + "step": 37 + }, + { + "epoch": 0.038, + "grad_norm": 0.5078125, + "grad_norm_var": 198.00927219390869, + "learning_rate": 7.600000000000001e-06, + "loss": 0.0149, + "loss/crossentropy": 2.260584235191345, + "loss/hidden": 0.01251220703125, + "loss/logits": 0.002418684889562428, + "step": 38 + }, + { + "epoch": 0.039, + "grad_norm": 0.53515625, + "grad_norm_var": 198.0717887878418, + "learning_rate": 7.800000000000002e-06, + "loss": 0.0143, + "loss/crossentropy": 2.127864420413971, + "loss/hidden": 0.012115478515625, + "loss/logits": 0.0022204924607649446, + "step": 39 + }, + { + "epoch": 0.04, + "grad_norm": 0.546875, + "grad_norm_var": 198.24441623687744, + "learning_rate": 8.000000000000001e-06, + "loss": 0.0155, + "loss/crossentropy": 1.4864744544029236, + "loss/hidden": 0.0135498046875, + "loss/logits": 0.0019313275697641075, + "step": 40 + }, + { + "epoch": 0.041, + "grad_norm": 0.337890625, + "grad_norm_var": 198.3136723836263, + "learning_rate": 8.2e-06, + "loss": 0.0126, + "loss/crossentropy": 2.0884488821029663, + "loss/hidden": 0.0106201171875, + "loss/logits": 0.0020087960874661803, + "step": 41 + }, + { + "epoch": 0.042, + "grad_norm": 0.58203125, + "grad_norm_var": 198.51614983876547, + "learning_rate": 8.400000000000001e-06, + "loss": 0.02, + "loss/crossentropy": 1.6123111844062805, + "loss/hidden": 0.0174560546875, + "loss/logits": 0.0025139962090179324, + "step": 42 + }, + { + "epoch": 0.043, + "grad_norm": 0.69921875, + "grad_norm_var": 198.49428246815998, + "learning_rate": 8.6e-06, + "loss": 0.0191, + "loss/crossentropy": 1.899111807346344, + "loss/hidden": 0.01654052734375, + "loss/logits": 0.0025533820735290647, + "step": 43 + }, + { + "epoch": 0.044, + "grad_norm": 0.6015625, + "grad_norm_var": 198.51463038126627, + "learning_rate": 8.8e-06, + "loss": 0.0209, + "loss/crossentropy": 1.410634160041809, + "loss/hidden": 0.01812744140625, + "loss/logits": 0.002780333859845996, + "step": 44 + }, + { + "epoch": 0.045, + "grad_norm": 0.4609375, + "grad_norm_var": 198.55664520263673, + "learning_rate": 9e-06, + "loss": 0.0181, + "loss/crossentropy": 1.6974017024040222, + "loss/hidden": 0.01580810546875, + "loss/logits": 0.0023181557189673185, + "step": 45 + }, + { + "epoch": 0.046, + "grad_norm": 0.478515625, + "grad_norm_var": 198.51187686920167, + "learning_rate": 9.200000000000002e-06, + "loss": 0.0187, + "loss/crossentropy": 2.1352469325065613, + "loss/hidden": 0.01611328125, + "loss/logits": 0.002572571625933051, + "step": 46 + }, + { + "epoch": 0.047, + "grad_norm": 1.4375, + "grad_norm_var": 198.18177642822266, + "learning_rate": 9.4e-06, + "loss": 0.0191, + "loss/crossentropy": 1.6112200021743774, + "loss/hidden": 0.01678466796875, + "loss/logits": 0.0022820517187938094, + "step": 47 + }, + { + "epoch": 0.048, + "grad_norm": 0.462890625, + "grad_norm_var": 198.23291001319885, + "learning_rate": 9.600000000000001e-06, + "loss": 0.0176, + "loss/crossentropy": 2.0570507049560547, + "loss/hidden": 0.01519775390625, + "loss/logits": 0.002418220858089626, + "step": 48 + }, + { + "epoch": 0.049, + "grad_norm": 0.5078125, + "grad_norm_var": 198.61132187843322, + "learning_rate": 9.800000000000001e-06, + "loss": 0.0181, + "loss/crossentropy": 1.5905100107192993, + "loss/hidden": 0.0157470703125, + "loss/logits": 0.0023602789733558893, + "step": 49 + }, + { + "epoch": 0.05, + "grad_norm": 0.48046875, + "grad_norm_var": 198.65297722816467, + "learning_rate": 1e-05, + "loss": 0.0174, + "loss/crossentropy": 2.3879631757736206, + "loss/hidden": 0.014984130859375, + "loss/logits": 0.0024567440850660205, + "step": 50 + }, + { + "epoch": 0.051, + "grad_norm": 0.6875, + "grad_norm_var": 198.84488053321837, + "learning_rate": 1.02e-05, + "loss": 0.0188, + "loss/crossentropy": 2.015933036804199, + "loss/hidden": 0.0164794921875, + "loss/logits": 0.0023623716551810503, + "step": 51 + }, + { + "epoch": 0.052, + "grad_norm": 0.52734375, + "grad_norm_var": 198.93771958351135, + "learning_rate": 1.04e-05, + "loss": 0.0237, + "loss/crossentropy": 1.9334338307380676, + "loss/hidden": 0.02069091796875, + "loss/logits": 0.0029913606122136116, + "step": 52 + }, + { + "epoch": 0.053, + "grad_norm": 0.73828125, + "grad_norm_var": 0.0602358341217041, + "learning_rate": 1.0600000000000002e-05, + "loss": 0.0234, + "loss/crossentropy": 1.988130509853363, + "loss/hidden": 0.02056884765625, + "loss/logits": 0.0028755036182701588, + "step": 53 + }, + { + "epoch": 0.054, + "grad_norm": 0.87890625, + "grad_norm_var": 0.06430675188700358, + "learning_rate": 1.0800000000000002e-05, + "loss": 0.0225, + "loss/crossentropy": 1.4915976524353027, + "loss/hidden": 0.02008056640625, + "loss/logits": 0.0023959834361448884, + "step": 54 + }, + { + "epoch": 0.055, + "grad_norm": 0.5859375, + "grad_norm_var": 0.0638753096262614, + "learning_rate": 1.1000000000000001e-05, + "loss": 0.0212, + "loss/crossentropy": 1.7327674627304077, + "loss/hidden": 0.0186767578125, + "loss/logits": 0.002566903829574585, + "step": 55 + }, + { + "epoch": 0.056, + "grad_norm": 0.53515625, + "grad_norm_var": 0.06400729815165201, + "learning_rate": 1.1200000000000001e-05, + "loss": 0.0221, + "loss/crossentropy": 1.8408621549606323, + "loss/hidden": 0.01947021484375, + "loss/logits": 0.0026238159043714404, + "step": 56 + }, + { + "epoch": 0.057, + "grad_norm": 0.8984375, + "grad_norm_var": 0.06217803955078125, + "learning_rate": 1.14e-05, + "loss": 0.0213, + "loss/crossentropy": 1.32709925994277, + "loss/hidden": 0.01947021484375, + "loss/logits": 0.001822101214202121, + "step": 57 + }, + { + "epoch": 0.058, + "grad_norm": 0.482421875, + "grad_norm_var": 0.06383576393127441, + "learning_rate": 1.16e-05, + "loss": 0.0211, + "loss/crossentropy": 2.5516231060028076, + "loss/hidden": 0.018310546875, + "loss/logits": 0.002763173426501453, + "step": 58 + }, + { + "epoch": 0.059, + "grad_norm": 1.5546875, + "grad_norm_var": 0.11474061012268066, + "learning_rate": 1.18e-05, + "loss": 0.0216, + "loss/crossentropy": 1.093215293250978, + "loss/hidden": 0.02008056640625, + "loss/logits": 0.001494493626523763, + "step": 59 + }, + { + "epoch": 0.06, + "grad_norm": 1.046875, + "grad_norm_var": 0.12085061073303223, + "learning_rate": 1.2e-05, + "loss": 0.023, + "loss/crossentropy": 2.0825194716453552, + "loss/hidden": 0.02008056640625, + "loss/logits": 0.002906191977672279, + "step": 60 + }, + { + "epoch": 0.061, + "grad_norm": 1.5625, + "grad_norm_var": 0.1564039707183838, + "learning_rate": 1.22e-05, + "loss": 0.0219, + "loss/crossentropy": 0.930735819041729, + "loss/hidden": 0.02020263671875, + "loss/logits": 0.0017190971411764622, + "step": 61 + }, + { + "epoch": 0.062, + "grad_norm": 0.60546875, + "grad_norm_var": 0.15190048217773439, + "learning_rate": 1.2400000000000002e-05, + "loss": 0.026, + "loss/crossentropy": 2.1702520847320557, + "loss/hidden": 0.0228271484375, + "loss/logits": 0.0031759394332766533, + "step": 62 + }, + { + "epoch": 0.063, + "grad_norm": 0.90234375, + "grad_norm_var": 0.1251688003540039, + "learning_rate": 1.2600000000000001e-05, + "loss": 0.0268, + "loss/crossentropy": 2.155192196369171, + "loss/hidden": 0.02337646484375, + "loss/logits": 0.0033858821261674166, + "step": 63 + }, + { + "epoch": 0.064, + "grad_norm": 0.66015625, + "grad_norm_var": 0.11929802894592285, + "learning_rate": 1.2800000000000001e-05, + "loss": 0.0261, + "loss/crossentropy": 1.952944815158844, + "loss/hidden": 0.02276611328125, + "loss/logits": 0.0033275720197707415, + "step": 64 + }, + { + "epoch": 0.065, + "grad_norm": 0.81640625, + "grad_norm_var": 0.11360230445861816, + "learning_rate": 1.3000000000000001e-05, + "loss": 0.0294, + "loss/crossentropy": 1.8505353331565857, + "loss/hidden": 0.02606201171875, + "loss/logits": 0.0032885426189750433, + "step": 65 + }, + { + "epoch": 0.066, + "grad_norm": 0.58203125, + "grad_norm_var": 0.10978213946024577, + "learning_rate": 1.3200000000000002e-05, + "loss": 0.0254, + "loss/crossentropy": 1.9442384243011475, + "loss/hidden": 0.02252197265625, + "loss/logits": 0.002852104022167623, + "step": 66 + }, + { + "epoch": 0.067, + "grad_norm": 0.63671875, + "grad_norm_var": 0.11081693967183431, + "learning_rate": 1.3400000000000002e-05, + "loss": 0.0272, + "loss/crossentropy": 1.7780007719993591, + "loss/hidden": 0.024169921875, + "loss/logits": 0.0030432826606556773, + "step": 67 + }, + { + "epoch": 0.068, + "grad_norm": 0.6875, + "grad_norm_var": 0.10631254514058432, + "learning_rate": 1.3600000000000002e-05, + "loss": 0.0271, + "loss/crossentropy": 1.6640018224716187, + "loss/hidden": 0.0244140625, + "loss/logits": 0.002680669422261417, + "step": 68 + }, + { + "epoch": 0.069, + "grad_norm": 0.48046875, + "grad_norm_var": 0.11339147885640462, + "learning_rate": 1.38e-05, + "loss": 0.0249, + "loss/crossentropy": 1.9946751594543457, + "loss/hidden": 0.0220947265625, + "loss/logits": 0.002759344642981887, + "step": 69 + }, + { + "epoch": 0.07, + "grad_norm": 0.4765625, + "grad_norm_var": 0.11966500282287598, + "learning_rate": 1.4e-05, + "loss": 0.0236, + "loss/crossentropy": 2.234663248062134, + "loss/hidden": 0.02069091796875, + "loss/logits": 0.0029394502053037286, + "step": 70 + }, + { + "epoch": 0.071, + "grad_norm": 0.52734375, + "grad_norm_var": 0.12141213417053223, + "learning_rate": 1.4200000000000001e-05, + "loss": 0.0261, + "loss/crossentropy": 2.327102780342102, + "loss/hidden": 0.0230712890625, + "loss/logits": 0.0030780097004026175, + "step": 71 + }, + { + "epoch": 0.072, + "grad_norm": 1.4609375, + "grad_norm_var": 0.14494843482971193, + "learning_rate": 1.4400000000000001e-05, + "loss": 0.0311, + "loss/crossentropy": 2.447921633720398, + "loss/hidden": 0.0277099609375, + "loss/logits": 0.0034353630617260933, + "step": 72 + }, + { + "epoch": 0.073, + "grad_norm": 0.6953125, + "grad_norm_var": 0.1458443800608317, + "learning_rate": 1.46e-05, + "loss": 0.0348, + "loss/crossentropy": 1.8365623950958252, + "loss/hidden": 0.03082275390625, + "loss/logits": 0.003995993640273809, + "step": 73 + }, + { + "epoch": 0.074, + "grad_norm": 0.6328125, + "grad_norm_var": 0.14041646321614584, + "learning_rate": 1.48e-05, + "loss": 0.0309, + "loss/crossentropy": 1.8763534426689148, + "loss/hidden": 0.02752685546875, + "loss/logits": 0.0034082168713212013, + "step": 74 + }, + { + "epoch": 0.075, + "grad_norm": 0.57421875, + "grad_norm_var": 0.10615431467692057, + "learning_rate": 1.5000000000000002e-05, + "loss": 0.0323, + "loss/crossentropy": 1.6230891346931458, + "loss/hidden": 0.02899169921875, + "loss/logits": 0.0033399080857634544, + "step": 75 + }, + { + "epoch": 0.076, + "grad_norm": 0.494140625, + "grad_norm_var": 0.10497129758199056, + "learning_rate": 1.5200000000000002e-05, + "loss": 0.0287, + "loss/crossentropy": 2.1396928429603577, + "loss/hidden": 0.02557373046875, + "loss/logits": 0.003119353437796235, + "step": 76 + }, + { + "epoch": 0.077, + "grad_norm": 0.80859375, + "grad_norm_var": 0.05753312110900879, + "learning_rate": 1.54e-05, + "loss": 0.0347, + "loss/crossentropy": 1.532863974571228, + "loss/hidden": 0.03131103515625, + "loss/logits": 0.0034041637554764748, + "step": 77 + }, + { + "epoch": 0.078, + "grad_norm": 0.490234375, + "grad_norm_var": 0.059662818908691406, + "learning_rate": 1.5600000000000003e-05, + "loss": 0.0306, + "loss/crossentropy": 2.6230881214141846, + "loss/hidden": 0.027099609375, + "loss/logits": 0.0035023156087845564, + "step": 78 + }, + { + "epoch": 0.079, + "grad_norm": 0.5078125, + "grad_norm_var": 0.05784556070963542, + "learning_rate": 1.58e-05, + "loss": 0.0308, + "loss/crossentropy": 2.324823498725891, + "loss/hidden": 0.02716064453125, + "loss/logits": 0.0035959234228357673, + "step": 79 + }, + { + "epoch": 0.08, + "grad_norm": 0.451171875, + "grad_norm_var": 0.06052079200744629, + "learning_rate": 1.6000000000000003e-05, + "loss": 0.029, + "loss/crossentropy": 1.8020533919334412, + "loss/hidden": 0.026123046875, + "loss/logits": 0.0029267214704304934, + "step": 80 + }, + { + "epoch": 0.081, + "grad_norm": 0.462890625, + "grad_norm_var": 0.06025899251302083, + "learning_rate": 1.62e-05, + "loss": 0.0294, + "loss/crossentropy": 1.9489082098007202, + "loss/hidden": 0.02642822265625, + "loss/logits": 0.0030203944770619273, + "step": 81 + }, + { + "epoch": 0.082, + "grad_norm": 0.6796875, + "grad_norm_var": 0.06032098134358724, + "learning_rate": 1.64e-05, + "loss": 0.0386, + "loss/crossentropy": 1.7716471552848816, + "loss/hidden": 0.03466796875, + "loss/logits": 0.003940345952287316, + "step": 82 + }, + { + "epoch": 0.083, + "grad_norm": 0.71484375, + "grad_norm_var": 0.06078128814697266, + "learning_rate": 1.66e-05, + "loss": 0.0357, + "loss/crossentropy": 1.580382227897644, + "loss/hidden": 0.0322265625, + "loss/logits": 0.003445054404437542, + "step": 83 + }, + { + "epoch": 0.084, + "grad_norm": 0.66015625, + "grad_norm_var": 0.060633087158203126, + "learning_rate": 1.6800000000000002e-05, + "loss": 0.0378, + "loss/crossentropy": 1.4624913334846497, + "loss/hidden": 0.0345458984375, + "loss/logits": 0.0032839860068634152, + "step": 84 + }, + { + "epoch": 0.085, + "grad_norm": 0.6015625, + "grad_norm_var": 0.05909773508707682, + "learning_rate": 1.7e-05, + "loss": 0.0362, + "loss/crossentropy": 2.1083823442459106, + "loss/hidden": 0.0325927734375, + "loss/logits": 0.0036526399198919535, + "step": 85 + }, + { + "epoch": 0.086, + "grad_norm": 0.52734375, + "grad_norm_var": 0.058153025309244794, + "learning_rate": 1.72e-05, + "loss": 0.0325, + "loss/crossentropy": 1.717766523361206, + "loss/hidden": 0.02947998046875, + "loss/logits": 0.0030690066050738096, + "step": 86 + }, + { + "epoch": 0.087, + "grad_norm": 0.66796875, + "grad_norm_var": 0.05721918741861979, + "learning_rate": 1.7400000000000003e-05, + "loss": 0.0378, + "loss/crossentropy": 1.8904065489768982, + "loss/hidden": 0.0335693359375, + "loss/logits": 0.0042799420189112425, + "step": 87 + }, + { + "epoch": 0.088, + "grad_norm": 1.3671875, + "grad_norm_var": 0.047654978434244794, + "learning_rate": 1.76e-05, + "loss": 0.0335, + "loss/crossentropy": 1.0870572477579117, + "loss/hidden": 0.03125, + "loss/logits": 0.0022940505295991898, + "step": 88 + }, + { + "epoch": 0.089, + "grad_norm": 0.5234375, + "grad_norm_var": 0.04837112426757813, + "learning_rate": 1.7800000000000002e-05, + "loss": 0.0321, + "loss/crossentropy": 2.1679897904396057, + "loss/hidden": 0.02886962890625, + "loss/logits": 0.0031942062778398395, + "step": 89 + }, + { + "epoch": 0.09, + "grad_norm": 2.3125, + "grad_norm_var": 0.22415873209635417, + "learning_rate": 1.8e-05, + "loss": 0.0383, + "loss/crossentropy": 0.8709187796339393, + "loss/hidden": 0.036376953125, + "loss/logits": 0.00189178493747022, + "step": 90 + }, + { + "epoch": 0.091, + "grad_norm": 0.609375, + "grad_norm_var": 0.22345778147379558, + "learning_rate": 1.8200000000000002e-05, + "loss": 0.0351, + "loss/crossentropy": 2.064531624317169, + "loss/hidden": 0.031494140625, + "loss/logits": 0.003647907287813723, + "step": 91 + }, + { + "epoch": 0.092, + "grad_norm": 0.76171875, + "grad_norm_var": 0.2190743605295817, + "learning_rate": 1.8400000000000003e-05, + "loss": 0.0397, + "loss/crossentropy": 2.1158279180526733, + "loss/hidden": 0.0357666015625, + "loss/logits": 0.003927323617972434, + "step": 92 + }, + { + "epoch": 0.093, + "grad_norm": 0.58203125, + "grad_norm_var": 0.22078906695048015, + "learning_rate": 1.86e-05, + "loss": 0.037, + "loss/crossentropy": 2.194046139717102, + "loss/hidden": 0.03289794921875, + "loss/logits": 0.004065982066094875, + "step": 93 + }, + { + "epoch": 0.094, + "grad_norm": 0.55078125, + "grad_norm_var": 0.2189615249633789, + "learning_rate": 1.88e-05, + "loss": 0.0387, + "loss/crossentropy": 1.7997042536735535, + "loss/hidden": 0.034912109375, + "loss/logits": 0.003757980652153492, + "step": 94 + }, + { + "epoch": 0.095, + "grad_norm": 0.96875, + "grad_norm_var": 0.21743106842041016, + "learning_rate": 1.9e-05, + "loss": 0.0424, + "loss/crossentropy": 1.9515060782432556, + "loss/hidden": 0.038330078125, + "loss/logits": 0.004115240182727575, + "step": 95 + }, + { + "epoch": 0.096, + "grad_norm": 0.58203125, + "grad_norm_var": 0.21280604998270672, + "learning_rate": 1.9200000000000003e-05, + "loss": 0.0383, + "loss/crossentropy": 1.7843334674835205, + "loss/hidden": 0.0345458984375, + "loss/logits": 0.0037059325259178877, + "step": 96 + }, + { + "epoch": 0.097, + "grad_norm": 0.76171875, + "grad_norm_var": 0.20552260080973309, + "learning_rate": 1.94e-05, + "loss": 0.0366, + "loss/crossentropy": 1.6897225379943848, + "loss/hidden": 0.0333251953125, + "loss/logits": 0.003316206973977387, + "step": 97 + }, + { + "epoch": 0.098, + "grad_norm": 0.5625, + "grad_norm_var": 0.20833021799723309, + "learning_rate": 1.9600000000000002e-05, + "loss": 0.0392, + "loss/crossentropy": 1.7818755507469177, + "loss/hidden": 0.0352783203125, + "loss/logits": 0.0038841436617076397, + "step": 98 + }, + { + "epoch": 0.099, + "grad_norm": 0.7421875, + "grad_norm_var": 0.20807698567708333, + "learning_rate": 1.98e-05, + "loss": 0.0414, + "loss/crossentropy": 1.3952041864395142, + "loss/hidden": 0.0379638671875, + "loss/logits": 0.0034202728420495987, + "step": 99 + }, + { + "epoch": 0.1, + "grad_norm": 0.61328125, + "grad_norm_var": 0.20908101399739584, + "learning_rate": 2e-05, + "loss": 0.0411, + "loss/crossentropy": 2.257350206375122, + "loss/hidden": 0.0369873046875, + "loss/logits": 0.004119190853089094, + "step": 100 + }, + { + "epoch": 0.101, + "grad_norm": 94.0, + "grad_norm_var": 542.9932492574056, + "learning_rate": 2e-05, + "loss": 0.049, + "loss/crossentropy": 2.412990689277649, + "loss/hidden": 0.044677734375, + "loss/logits": 0.004347695037722588, + "step": 101 + }, + { + "epoch": 0.102, + "grad_norm": 5.71875, + "grad_norm_var": 540.451200803121, + "learning_rate": 2e-05, + "loss": 0.0655, + "loss/crossentropy": 1.082998514175415, + "loss/hidden": 0.0626220703125, + "loss/logits": 0.002859282889403403, + "step": 102 + }, + { + "epoch": 0.103, + "grad_norm": 3.828125, + "grad_norm_var": 538.4251312255859, + "learning_rate": 2e-05, + "loss": 0.0533, + "loss/crossentropy": 0.7443170174956322, + "loss/hidden": 0.0509033203125, + "loss/logits": 0.0023913229815661907, + "step": 103 + }, + { + "epoch": 0.104, + "grad_norm": 0.7734375, + "grad_norm_var": 538.9053883870442, + "learning_rate": 2e-05, + "loss": 0.0443, + "loss/crossentropy": 2.128484547138214, + "loss/hidden": 0.0394287109375, + "loss/logits": 0.004840084817260504, + "step": 104 + }, + { + "epoch": 0.105, + "grad_norm": 0.9609375, + "grad_norm_var": 538.5326588948568, + "learning_rate": 2e-05, + "loss": 0.0488, + "loss/crossentropy": 2.1107423305511475, + "loss/hidden": 0.0438232421875, + "loss/logits": 0.004928479436784983, + "step": 105 + }, + { + "epoch": 0.106, + "grad_norm": 1.2578125, + "grad_norm_var": 539.2818234761556, + "learning_rate": 2e-05, + "loss": 0.0503, + "loss/crossentropy": 2.3903501629829407, + "loss/hidden": 0.044677734375, + "loss/logits": 0.0056252507492899895, + "step": 106 + }, + { + "epoch": 0.107, + "grad_norm": 43.75, + "grad_norm_var": 618.3842038472493, + "learning_rate": 2e-05, + "loss": 0.0608, + "loss/crossentropy": 1.7641326189041138, + "loss/hidden": 0.0543212890625, + "loss/logits": 0.006453194189816713, + "step": 107 + }, + { + "epoch": 0.108, + "grad_norm": 0.76953125, + "grad_norm_var": 618.3748179117839, + "learning_rate": 2e-05, + "loss": 0.0477, + "loss/crossentropy": 2.0768980383872986, + "loss/hidden": 0.043212890625, + "loss/logits": 0.004535661078989506, + "step": 108 + }, + { + "epoch": 0.109, + "grad_norm": 0.69140625, + "grad_norm_var": 618.2414815266927, + "learning_rate": 2e-05, + "loss": 0.0473, + "loss/crossentropy": 1.6824833154678345, + "loss/hidden": 0.043212890625, + "loss/logits": 0.004120671423152089, + "step": 109 + }, + { + "epoch": 0.11, + "grad_norm": 1.15625, + "grad_norm_var": 617.5190678278606, + "learning_rate": 2e-05, + "loss": 0.0434, + "loss/crossentropy": 2.627159595489502, + "loss/hidden": 0.03857421875, + "loss/logits": 0.004800508031621575, + "step": 110 + }, + { + "epoch": 0.111, + "grad_norm": 3.78125, + "grad_norm_var": 614.6938419977824, + "learning_rate": 2e-05, + "loss": 0.0566, + "loss/crossentropy": 0.6765162199735641, + "loss/hidden": 0.054443359375, + "loss/logits": 0.0021908242197241634, + "step": 111 + }, + { + "epoch": 0.112, + "grad_norm": 0.734375, + "grad_norm_var": 614.5040545145671, + "learning_rate": 2e-05, + "loss": 0.053, + "loss/crossentropy": 1.8953843116760254, + "loss/hidden": 0.0479736328125, + "loss/logits": 0.00501963822171092, + "step": 112 + }, + { + "epoch": 0.113, + "grad_norm": 0.94140625, + "grad_norm_var": 614.2845865885416, + "learning_rate": 2e-05, + "loss": 0.0549, + "loss/crossentropy": 1.2002166509628296, + "loss/hidden": 0.051025390625, + "loss/logits": 0.0038950731977820396, + "step": 113 + }, + { + "epoch": 0.114, + "grad_norm": 0.796875, + "grad_norm_var": 613.9925486246744, + "learning_rate": 2e-05, + "loss": 0.049, + "loss/crossentropy": 2.166276276111603, + "loss/hidden": 0.044189453125, + "loss/logits": 0.004782476229593158, + "step": 114 + }, + { + "epoch": 0.115, + "grad_norm": 0.73828125, + "grad_norm_var": 613.9973881403605, + "learning_rate": 2e-05, + "loss": 0.0516, + "loss/crossentropy": 1.9635725021362305, + "loss/hidden": 0.046142578125, + "loss/logits": 0.005422875052317977, + "step": 115 + }, + { + "epoch": 0.116, + "grad_norm": 1.015625, + "grad_norm_var": 613.5022315979004, + "learning_rate": 2e-05, + "loss": 0.0531, + "loss/crossentropy": 1.9369041323661804, + "loss/hidden": 0.048095703125, + "loss/logits": 0.004988969303667545, + "step": 116 + }, + { + "epoch": 0.117, + "grad_norm": 0.88671875, + "grad_norm_var": 113.22293949127197, + "learning_rate": 2e-05, + "loss": 0.0487, + "loss/crossentropy": 1.904948651790619, + "loss/hidden": 0.0438232421875, + "loss/logits": 0.004903967492282391, + "step": 117 + }, + { + "epoch": 0.118, + "grad_norm": 1.03125, + "grad_norm_var": 113.6704797744751, + "learning_rate": 2e-05, + "loss": 0.0531, + "loss/crossentropy": 1.4953274130821228, + "loss/hidden": 0.0477294921875, + "loss/logits": 0.0053821399342268705, + "step": 118 + }, + { + "epoch": 0.119, + "grad_norm": 0.80078125, + "grad_norm_var": 114.29028701782227, + "learning_rate": 2e-05, + "loss": 0.0499, + "loss/crossentropy": 1.8553323149681091, + "loss/hidden": 0.0455322265625, + "loss/logits": 0.004347938811406493, + "step": 119 + }, + { + "epoch": 0.12, + "grad_norm": 0.65234375, + "grad_norm_var": 114.33934930165609, + "learning_rate": 2e-05, + "loss": 0.0507, + "loss/crossentropy": 2.1623928546905518, + "loss/hidden": 0.0458984375, + "loss/logits": 0.004752044100314379, + "step": 120 + }, + { + "epoch": 0.121, + "grad_norm": 0.60546875, + "grad_norm_var": 114.47933247884114, + "learning_rate": 2e-05, + "loss": 0.048, + "loss/crossentropy": 1.8770819902420044, + "loss/hidden": 0.04345703125, + "loss/logits": 0.004505418939515948, + "step": 121 + }, + { + "epoch": 0.122, + "grad_norm": 0.84375, + "grad_norm_var": 114.62628962198893, + "learning_rate": 2e-05, + "loss": 0.056, + "loss/crossentropy": 1.5817698240280151, + "loss/hidden": 0.0513916015625, + "loss/logits": 0.004640725441277027, + "step": 122 + }, + { + "epoch": 0.123, + "grad_norm": 0.62109375, + "grad_norm_var": 0.5726551691691081, + "learning_rate": 2e-05, + "loss": 0.0525, + "loss/crossentropy": 2.1861724853515625, + "loss/hidden": 0.04736328125, + "loss/logits": 0.005103343166410923, + "step": 123 + }, + { + "epoch": 0.124, + "grad_norm": 0.75, + "grad_norm_var": 0.5732899983723958, + "learning_rate": 2e-05, + "loss": 0.0588, + "loss/crossentropy": 1.7791939973831177, + "loss/hidden": 0.0538330078125, + "loss/logits": 0.004983734572306275, + "step": 124 + }, + { + "epoch": 0.125, + "grad_norm": 0.859375, + "grad_norm_var": 0.5680765151977539, + "learning_rate": 2e-05, + "loss": 0.0538, + "loss/crossentropy": 1.8149547576904297, + "loss/hidden": 0.0491943359375, + "loss/logits": 0.004628779133781791, + "step": 125 + }, + { + "epoch": 0.126, + "grad_norm": 0.796875, + "grad_norm_var": 0.5693048477172852, + "learning_rate": 2e-05, + "loss": 0.0599, + "loss/crossentropy": 1.8067073822021484, + "loss/hidden": 0.0546875, + "loss/logits": 0.005181350978091359, + "step": 126 + }, + { + "epoch": 0.127, + "grad_norm": 1.2578125, + "grad_norm_var": 0.02847436269124349, + "learning_rate": 2e-05, + "loss": 0.0568, + "loss/crossentropy": 2.025430202484131, + "loss/hidden": 0.05126953125, + "loss/logits": 0.005537106888368726, + "step": 127 + }, + { + "epoch": 0.128, + "grad_norm": 1.21875, + "grad_norm_var": 0.03675225575764974, + "learning_rate": 2e-05, + "loss": 0.0643, + "loss/crossentropy": 1.6609545350074768, + "loss/hidden": 0.0582275390625, + "loss/logits": 0.006046091904863715, + "step": 128 + }, + { + "epoch": 0.129, + "grad_norm": 4.34375, + "grad_norm_var": 0.7955790201822917, + "learning_rate": 2e-05, + "loss": 0.0594, + "loss/crossentropy": 0.885542593896389, + "loss/hidden": 0.0565185546875, + "loss/logits": 0.0028679996030405164, + "step": 129 + }, + { + "epoch": 0.13, + "grad_norm": 1.015625, + "grad_norm_var": 0.790423583984375, + "learning_rate": 2e-05, + "loss": 0.0594, + "loss/crossentropy": 2.1523451805114746, + "loss/hidden": 0.053955078125, + "loss/logits": 0.0054600914008915424, + "step": 130 + }, + { + "epoch": 0.131, + "grad_norm": 0.7734375, + "grad_norm_var": 0.7888528823852539, + "learning_rate": 2e-05, + "loss": 0.0534, + "loss/crossentropy": 2.189045548439026, + "loss/hidden": 0.04833984375, + "loss/logits": 0.005026256432756782, + "step": 131 + }, + { + "epoch": 0.132, + "grad_norm": 0.7265625, + "grad_norm_var": 0.7970204035441081, + "learning_rate": 2e-05, + "loss": 0.0629, + "loss/crossentropy": 2.0893185138702393, + "loss/hidden": 0.05712890625, + "loss/logits": 0.005753096425905824, + "step": 132 + }, + { + "epoch": 0.133, + "grad_norm": 0.703125, + "grad_norm_var": 0.8037109375, + "learning_rate": 2e-05, + "loss": 0.0573, + "loss/crossentropy": 2.1007819771766663, + "loss/hidden": 0.0517578125, + "loss/logits": 0.005532474257051945, + "step": 133 + }, + { + "epoch": 0.134, + "grad_norm": 2.8125, + "grad_norm_var": 0.99459228515625, + "learning_rate": 2e-05, + "loss": 0.0557, + "loss/crossentropy": 2.234036445617676, + "loss/hidden": 0.050537109375, + "loss/logits": 0.00520496373064816, + "step": 134 + }, + { + "epoch": 0.135, + "grad_norm": 1.1328125, + "grad_norm_var": 0.9849674860636394, + "learning_rate": 2e-05, + "loss": 0.0724, + "loss/crossentropy": 2.0017648339271545, + "loss/hidden": 0.065673828125, + "loss/logits": 0.006751159438863397, + "step": 135 + }, + { + "epoch": 0.136, + "grad_norm": 0.828125, + "grad_norm_var": 0.9741900126139323, + "learning_rate": 2e-05, + "loss": 0.0606, + "loss/crossentropy": 2.2030688524246216, + "loss/hidden": 0.0545654296875, + "loss/logits": 0.006013393867760897, + "step": 136 + }, + { + "epoch": 0.137, + "grad_norm": 2.828125, + "grad_norm_var": 1.1051111221313477, + "learning_rate": 2e-05, + "loss": 0.0666, + "loss/crossentropy": 1.4665716886520386, + "loss/hidden": 0.0615234375, + "loss/logits": 0.005048300372436643, + "step": 137 + }, + { + "epoch": 0.138, + "grad_norm": 0.87890625, + "grad_norm_var": 1.1028411865234375, + "learning_rate": 2e-05, + "loss": 0.0601, + "loss/crossentropy": 1.8831827044487, + "loss/hidden": 0.0545654296875, + "loss/logits": 0.005558329168707132, + "step": 138 + }, + { + "epoch": 0.139, + "grad_norm": 0.890625, + "grad_norm_var": 1.0813058853149413, + "learning_rate": 2e-05, + "loss": 0.0597, + "loss/crossentropy": 1.9754237532615662, + "loss/hidden": 0.054443359375, + "loss/logits": 0.005236838245764375, + "step": 139 + }, + { + "epoch": 0.14, + "grad_norm": 0.8671875, + "grad_norm_var": 1.0725778579711913, + "learning_rate": 2e-05, + "loss": 0.0606, + "loss/crossentropy": 1.365915298461914, + "loss/hidden": 0.0557861328125, + "loss/logits": 0.004818538203835487, + "step": 140 + }, + { + "epoch": 0.141, + "grad_norm": 0.99609375, + "grad_norm_var": 1.064422353108724, + "learning_rate": 2e-05, + "loss": 0.065, + "loss/crossentropy": 1.5900118350982666, + "loss/hidden": 0.0596923828125, + "loss/logits": 0.005343996454030275, + "step": 141 + }, + { + "epoch": 0.142, + "grad_norm": 1.3203125, + "grad_norm_var": 1.0408915201822917, + "learning_rate": 2e-05, + "loss": 0.0752, + "loss/crossentropy": 1.846006989479065, + "loss/hidden": 0.068603515625, + "loss/logits": 0.006600282387807965, + "step": 142 + }, + { + "epoch": 0.143, + "grad_norm": 1.4453125, + "grad_norm_var": 1.0392313639322917, + "learning_rate": 2e-05, + "loss": 0.0767, + "loss/crossentropy": 1.7931447625160217, + "loss/hidden": 0.069091796875, + "loss/logits": 0.00764817837625742, + "step": 143 + }, + { + "epoch": 0.144, + "grad_norm": 1.1328125, + "grad_norm_var": 1.0420427958170573, + "learning_rate": 2e-05, + "loss": 0.069, + "loss/crossentropy": 1.8643503785133362, + "loss/hidden": 0.0628662109375, + "loss/logits": 0.006141298217698932, + "step": 144 + }, + { + "epoch": 0.145, + "grad_norm": 0.828125, + "grad_norm_var": 0.4432879130045573, + "learning_rate": 2e-05, + "loss": 0.073, + "loss/crossentropy": 2.024896204471588, + "loss/hidden": 0.066650390625, + "loss/logits": 0.006367244059219956, + "step": 145 + }, + { + "epoch": 0.146, + "grad_norm": 1.3515625, + "grad_norm_var": 0.44213968912760415, + "learning_rate": 2e-05, + "loss": 0.0771, + "loss/crossentropy": 1.2655363082885742, + "loss/hidden": 0.071044921875, + "loss/logits": 0.00609672162681818, + "step": 146 + }, + { + "epoch": 0.147, + "grad_norm": 0.9140625, + "grad_norm_var": 0.4350077311197917, + "learning_rate": 2e-05, + "loss": 0.065, + "loss/crossentropy": 2.1826120615005493, + "loss/hidden": 0.0592041015625, + "loss/logits": 0.005788894835859537, + "step": 147 + }, + { + "epoch": 0.148, + "grad_norm": 3.0625, + "grad_norm_var": 0.619707997639974, + "learning_rate": 2e-05, + "loss": 0.0808, + "loss/crossentropy": 1.6820347905158997, + "loss/hidden": 0.072021484375, + "loss/logits": 0.008779237512499094, + "step": 148 + }, + { + "epoch": 0.149, + "grad_norm": 0.953125, + "grad_norm_var": 0.6012346903483073, + "learning_rate": 2e-05, + "loss": 0.0695, + "loss/crossentropy": 1.9632675051689148, + "loss/hidden": 0.0626220703125, + "loss/logits": 0.006908563897013664, + "step": 149 + }, + { + "epoch": 0.15, + "grad_norm": 1.21875, + "grad_norm_var": 0.45773493448893227, + "learning_rate": 2e-05, + "loss": 0.0678, + "loss/crossentropy": 2.0338906049728394, + "loss/hidden": 0.061279296875, + "loss/logits": 0.006486581405624747, + "step": 150 + }, + { + "epoch": 0.151, + "grad_norm": 1.2578125, + "grad_norm_var": 0.4560829162597656, + "learning_rate": 2e-05, + "loss": 0.0681, + "loss/crossentropy": 1.5496352314949036, + "loss/hidden": 0.0623779296875, + "loss/logits": 0.0057510188780725, + "step": 151 + }, + { + "epoch": 0.152, + "grad_norm": 1.28125, + "grad_norm_var": 0.4405067443847656, + "learning_rate": 2e-05, + "loss": 0.0867, + "loss/crossentropy": 1.3210809230804443, + "loss/hidden": 0.080078125, + "loss/logits": 0.006626329850405455, + "step": 152 + }, + { + "epoch": 0.153, + "grad_norm": 0.96484375, + "grad_norm_var": 0.28447513580322265, + "learning_rate": 2e-05, + "loss": 0.0734, + "loss/crossentropy": 2.0116345286369324, + "loss/hidden": 0.06689453125, + "loss/logits": 0.00652907881885767, + "step": 153 + }, + { + "epoch": 0.154, + "grad_norm": 0.72265625, + "grad_norm_var": 0.2929030736287435, + "learning_rate": 2e-05, + "loss": 0.0705, + "loss/crossentropy": 2.5001909732818604, + "loss/hidden": 0.063720703125, + "loss/logits": 0.006769401952624321, + "step": 154 + }, + { + "epoch": 0.155, + "grad_norm": 1.328125, + "grad_norm_var": 0.2867934544881185, + "learning_rate": 2e-05, + "loss": 0.0728, + "loss/crossentropy": 1.7657602429389954, + "loss/hidden": 0.067138671875, + "loss/logits": 0.005616480251774192, + "step": 155 + }, + { + "epoch": 0.156, + "grad_norm": 1.75, + "grad_norm_var": 0.2930582046508789, + "learning_rate": 2e-05, + "loss": 0.0768, + "loss/crossentropy": 1.4872492551803589, + "loss/hidden": 0.070556640625, + "loss/logits": 0.006273286417126656, + "step": 156 + }, + { + "epoch": 0.157, + "grad_norm": 0.99609375, + "grad_norm_var": 0.2930582046508789, + "learning_rate": 2e-05, + "loss": 0.0716, + "loss/crossentropy": 1.4289509057998657, + "loss/hidden": 0.066162109375, + "loss/logits": 0.0054210335947573185, + "step": 157 + }, + { + "epoch": 0.158, + "grad_norm": 3.390625, + "grad_norm_var": 0.571256446838379, + "learning_rate": 2e-05, + "loss": 0.0936, + "loss/crossentropy": 1.6232830286026, + "loss/hidden": 0.08740234375, + "loss/logits": 0.006192366126924753, + "step": 158 + }, + { + "epoch": 0.159, + "grad_norm": 1.1875, + "grad_norm_var": 0.574277687072754, + "learning_rate": 2e-05, + "loss": 0.071, + "loss/crossentropy": 1.8413723707199097, + "loss/hidden": 0.06494140625, + "loss/logits": 0.006042992230504751, + "step": 159 + }, + { + "epoch": 0.16, + "grad_norm": 0.85546875, + "grad_norm_var": 0.5888264973958334, + "learning_rate": 2e-05, + "loss": 0.0768, + "loss/crossentropy": 1.9591792821884155, + "loss/hidden": 0.0697021484375, + "loss/logits": 0.007108409656211734, + "step": 160 + }, + { + "epoch": 0.161, + "grad_norm": 7.59375, + "grad_norm_var": 2.952831013997396, + "learning_rate": 2e-05, + "loss": 0.0979, + "loss/crossentropy": 0.07059483416378498, + "loss/hidden": 0.096435546875, + "loss/logits": 0.0014511747285723686, + "step": 161 + }, + { + "epoch": 0.162, + "grad_norm": 1.8515625, + "grad_norm_var": 2.9384429931640623, + "learning_rate": 2e-05, + "loss": 0.0837, + "loss/crossentropy": 1.9789559841156006, + "loss/hidden": 0.075927734375, + "loss/logits": 0.007821006467565894, + "step": 162 + }, + { + "epoch": 0.163, + "grad_norm": 1.484375, + "grad_norm_var": 2.8888933817545572, + "learning_rate": 2e-05, + "loss": 0.0802, + "loss/crossentropy": 1.6365671753883362, + "loss/hidden": 0.07373046875, + "loss/logits": 0.006428756983950734, + "step": 163 + }, + { + "epoch": 0.164, + "grad_norm": 1.0859375, + "grad_norm_var": 2.818439737955729, + "learning_rate": 2e-05, + "loss": 0.0854, + "loss/crossentropy": 1.509697675704956, + "loss/hidden": 0.078857421875, + "loss/logits": 0.006509122438728809, + "step": 164 + }, + { + "epoch": 0.165, + "grad_norm": 1.2265625, + "grad_norm_var": 2.7942380269368488, + "learning_rate": 2e-05, + "loss": 0.0805, + "loss/crossentropy": 2.1344351172447205, + "loss/hidden": 0.072265625, + "loss/logits": 0.008192164823412895, + "step": 165 + }, + { + "epoch": 0.166, + "grad_norm": 1.1484375, + "grad_norm_var": 2.7996419270833335, + "learning_rate": 2e-05, + "loss": 0.0762, + "loss/crossentropy": 2.1507211923599243, + "loss/hidden": 0.06884765625, + "loss/logits": 0.007326696766540408, + "step": 166 + }, + { + "epoch": 0.167, + "grad_norm": 1.0546875, + "grad_norm_var": 2.8157623291015623, + "learning_rate": 2e-05, + "loss": 0.0877, + "loss/crossentropy": 1.9121323823928833, + "loss/hidden": 0.07958984375, + "loss/logits": 0.008159820456057787, + "step": 167 + }, + { + "epoch": 0.168, + "grad_norm": 0.71484375, + "grad_norm_var": 2.8708449681599935, + "learning_rate": 2e-05, + "loss": 0.0734, + "loss/crossentropy": 2.492128014564514, + "loss/hidden": 0.06640625, + "loss/logits": 0.006960670696571469, + "step": 168 + }, + { + "epoch": 0.169, + "grad_norm": 1.03125, + "grad_norm_var": 2.8645253499348957, + "learning_rate": 2e-05, + "loss": 0.0759, + "loss/crossentropy": 2.199109196662903, + "loss/hidden": 0.06884765625, + "loss/logits": 0.007038923678919673, + "step": 169 + }, + { + "epoch": 0.17, + "grad_norm": 0.88671875, + "grad_norm_var": 2.844524892171224, + "learning_rate": 2e-05, + "loss": 0.0777, + "loss/crossentropy": 1.9425055384635925, + "loss/hidden": 0.07080078125, + "loss/logits": 0.0068553604651242495, + "step": 170 + }, + { + "epoch": 0.171, + "grad_norm": 0.890625, + "grad_norm_var": 2.8795875549316405, + "learning_rate": 2e-05, + "loss": 0.0786, + "loss/crossentropy": 1.8932055234909058, + "loss/hidden": 0.072021484375, + "loss/logits": 0.006576135754585266, + "step": 171 + }, + { + "epoch": 0.172, + "grad_norm": 0.8671875, + "grad_norm_var": 2.922032674153646, + "learning_rate": 2e-05, + "loss": 0.0836, + "loss/crossentropy": 2.2985092401504517, + "loss/hidden": 0.075927734375, + "loss/logits": 0.00770363537594676, + "step": 172 + }, + { + "epoch": 0.173, + "grad_norm": 0.9453125, + "grad_norm_var": 2.9265644709269205, + "learning_rate": 2e-05, + "loss": 0.094, + "loss/crossentropy": 1.5614506006240845, + "loss/hidden": 0.085693359375, + "loss/logits": 0.00831273477524519, + "step": 173 + }, + { + "epoch": 0.174, + "grad_norm": 0.89453125, + "grad_norm_var": 2.7328165690104167, + "learning_rate": 2e-05, + "loss": 0.0862, + "loss/crossentropy": 2.5026639699935913, + "loss/hidden": 0.07763671875, + "loss/logits": 0.008605414070189, + "step": 174 + }, + { + "epoch": 0.175, + "grad_norm": 0.8828125, + "grad_norm_var": 2.7505999247233075, + "learning_rate": 2e-05, + "loss": 0.0919, + "loss/crossentropy": 2.3450429439544678, + "loss/hidden": 0.0830078125, + "loss/logits": 0.008909917902201414, + "step": 175 + }, + { + "epoch": 0.176, + "grad_norm": 1.40625, + "grad_norm_var": 2.724916521708171, + "learning_rate": 2e-05, + "loss": 0.0915, + "loss/crossentropy": 2.098711371421814, + "loss/hidden": 0.0830078125, + "loss/logits": 0.008489594794809818, + "step": 176 + }, + { + "epoch": 0.177, + "grad_norm": 1.5234375, + "grad_norm_var": 0.09405256907145182, + "learning_rate": 2e-05, + "loss": 0.0933, + "loss/crossentropy": 1.5701825618743896, + "loss/hidden": 0.0859375, + "loss/logits": 0.0073861428536474705, + "step": 177 + }, + { + "epoch": 0.178, + "grad_norm": 0.80078125, + "grad_norm_var": 0.060343424479166664, + "learning_rate": 2e-05, + "loss": 0.0898, + "loss/crossentropy": 1.9461122155189514, + "loss/hidden": 0.08203125, + "loss/logits": 0.007745326962321997, + "step": 178 + }, + { + "epoch": 0.179, + "grad_norm": 1.4375, + "grad_norm_var": 0.05778299967447917, + "learning_rate": 2e-05, + "loss": 0.0995, + "loss/crossentropy": 1.5463888049125671, + "loss/hidden": 0.090576171875, + "loss/logits": 0.008878839667886496, + "step": 179 + }, + { + "epoch": 0.18, + "grad_norm": 4.15625, + "grad_norm_var": 0.6617510477701823, + "learning_rate": 2e-05, + "loss": 0.1124, + "loss/crossentropy": 0.4524843990802765, + "loss/hidden": 0.109130859375, + "loss/logits": 0.0032549845636822283, + "step": 180 + }, + { + "epoch": 0.181, + "grad_norm": 1.3046875, + "grad_norm_var": 0.661974843343099, + "learning_rate": 2e-05, + "loss": 0.0863, + "loss/crossentropy": 2.0084250569343567, + "loss/hidden": 0.07861328125, + "loss/logits": 0.0077257591765373945, + "step": 181 + }, + { + "epoch": 0.182, + "grad_norm": 1.734375, + "grad_norm_var": 0.6757649739583333, + "learning_rate": 2e-05, + "loss": 0.0932, + "loss/crossentropy": 2.200223922729492, + "loss/hidden": 0.08544921875, + "loss/logits": 0.007743534166365862, + "step": 182 + }, + { + "epoch": 0.183, + "grad_norm": 1.828125, + "grad_norm_var": 0.689587148030599, + "learning_rate": 2e-05, + "loss": 0.101, + "loss/crossentropy": 1.6961349844932556, + "loss/hidden": 0.092529296875, + "loss/logits": 0.008438969030976295, + "step": 183 + }, + { + "epoch": 0.184, + "grad_norm": 1.1640625, + "grad_norm_var": 0.6652617772420247, + "learning_rate": 2e-05, + "loss": 0.1007, + "loss/crossentropy": 1.51398366689682, + "loss/hidden": 0.091796875, + "loss/logits": 0.00888208020478487, + "step": 184 + }, + { + "epoch": 0.185, + "grad_norm": 0.734375, + "grad_norm_var": 0.6837681452433269, + "learning_rate": 2e-05, + "loss": 0.087, + "loss/crossentropy": 2.4364923238754272, + "loss/hidden": 0.079345703125, + "loss/logits": 0.007686517434194684, + "step": 185 + }, + { + "epoch": 0.186, + "grad_norm": 1.25, + "grad_norm_var": 0.6700091044108073, + "learning_rate": 2e-05, + "loss": 0.1027, + "loss/crossentropy": 1.7433177828788757, + "loss/hidden": 0.09375, + "loss/logits": 0.008915970101952553, + "step": 186 + }, + { + "epoch": 0.187, + "grad_norm": 1.5, + "grad_norm_var": 0.6547747294108073, + "learning_rate": 2e-05, + "loss": 0.0937, + "loss/crossentropy": 2.1145116686820984, + "loss/hidden": 0.08447265625, + "loss/logits": 0.009221571031957865, + "step": 187 + }, + { + "epoch": 0.188, + "grad_norm": 0.84375, + "grad_norm_var": 0.6564798990885417, + "learning_rate": 2e-05, + "loss": 0.089, + "loss/crossentropy": 2.3255231976509094, + "loss/hidden": 0.080810546875, + "loss/logits": 0.008193989749997854, + "step": 188 + }, + { + "epoch": 0.189, + "grad_norm": 0.7421875, + "grad_norm_var": 0.6713836669921875, + "learning_rate": 2e-05, + "loss": 0.0937, + "loss/crossentropy": 1.9500952363014221, + "loss/hidden": 0.085205078125, + "loss/logits": 0.008466629311442375, + "step": 189 + }, + { + "epoch": 0.19, + "grad_norm": 12.875, + "grad_norm_var": 8.854332415262858, + "learning_rate": 2e-05, + "loss": 0.1398, + "loss/crossentropy": 1.5803423523902893, + "loss/hidden": 0.130126953125, + "loss/logits": 0.009700319729745388, + "step": 190 + }, + { + "epoch": 0.191, + "grad_norm": 2.21875, + "grad_norm_var": 8.742569414774577, + "learning_rate": 2e-05, + "loss": 0.0831, + "loss/crossentropy": 0.8776814043521881, + "loss/hidden": 0.07861328125, + "loss/logits": 0.0044753485126420856, + "step": 191 + }, + { + "epoch": 0.192, + "grad_norm": 1.0390625, + "grad_norm_var": 8.79083449045817, + "learning_rate": 2e-05, + "loss": 0.0981, + "loss/crossentropy": 2.157645583152771, + "loss/hidden": 0.08984375, + "loss/logits": 0.00824650377035141, + "step": 192 + }, + { + "epoch": 0.193, + "grad_norm": 0.828125, + "grad_norm_var": 8.883497556050619, + "learning_rate": 2e-05, + "loss": 0.095, + "loss/crossentropy": 1.819543182849884, + "loss/hidden": 0.087158203125, + "loss/logits": 0.007819573860615492, + "step": 193 + }, + { + "epoch": 0.194, + "grad_norm": 1.1484375, + "grad_norm_var": 8.828344472249348, + "learning_rate": 2e-05, + "loss": 0.1045, + "loss/crossentropy": 1.8836165070533752, + "loss/hidden": 0.095947265625, + "loss/logits": 0.008551866048946977, + "step": 194 + }, + { + "epoch": 0.195, + "grad_norm": 0.9296875, + "grad_norm_var": 8.89441630045573, + "learning_rate": 2e-05, + "loss": 0.1058, + "loss/crossentropy": 1.6061448454856873, + "loss/hidden": 0.097412109375, + "loss/logits": 0.008399839047342539, + "step": 195 + }, + { + "epoch": 0.196, + "grad_norm": 2.375, + "grad_norm_var": 8.61470438639323, + "learning_rate": 2e-05, + "loss": 0.0946, + "loss/crossentropy": 1.1957413852214813, + "loss/hidden": 0.0888671875, + "loss/logits": 0.005780589068308473, + "step": 196 + }, + { + "epoch": 0.197, + "grad_norm": 1.921875, + "grad_norm_var": 8.578641510009765, + "learning_rate": 2e-05, + "loss": 0.1091, + "loss/crossentropy": 1.9956754446029663, + "loss/hidden": 0.099609375, + "loss/logits": 0.009533480275422335, + "step": 197 + }, + { + "epoch": 0.198, + "grad_norm": 1.484375, + "grad_norm_var": 8.593761952718099, + "learning_rate": 2e-05, + "loss": 0.0932, + "loss/crossentropy": 2.0423865914344788, + "loss/hidden": 0.084716796875, + "loss/logits": 0.008501260075718164, + "step": 198 + }, + { + "epoch": 0.199, + "grad_norm": 0.9765625, + "grad_norm_var": 8.664864095052083, + "learning_rate": 2e-05, + "loss": 0.0965, + "loss/crossentropy": 2.0403915643692017, + "loss/hidden": 0.088134765625, + "loss/logits": 0.008330879732966423, + "step": 199 + }, + { + "epoch": 0.2, + "grad_norm": 1.21875, + "grad_norm_var": 8.658941396077473, + "learning_rate": 2e-05, + "loss": 0.1046, + "loss/crossentropy": 1.79813152551651, + "loss/hidden": 0.095703125, + "loss/logits": 0.008865772746503353, + "step": 200 + }, + { + "epoch": 0.201, + "grad_norm": 0.984375, + "grad_norm_var": 8.62048110961914, + "learning_rate": 2e-05, + "loss": 0.0998, + "loss/crossentropy": 1.9608579874038696, + "loss/hidden": 0.09130859375, + "loss/logits": 0.00849946541711688, + "step": 201 + }, + { + "epoch": 0.202, + "grad_norm": 0.93359375, + "grad_norm_var": 8.65926456451416, + "learning_rate": 2e-05, + "loss": 0.1103, + "loss/crossentropy": 1.5905942916870117, + "loss/hidden": 0.10205078125, + "loss/logits": 0.00825613015331328, + "step": 202 + }, + { + "epoch": 0.203, + "grad_norm": 3.09375, + "grad_norm_var": 8.711507606506348, + "learning_rate": 2e-05, + "loss": 0.1068, + "loss/crossentropy": 1.1885337010025978, + "loss/hidden": 0.101318359375, + "loss/logits": 0.005469106370583177, + "step": 203 + }, + { + "epoch": 0.204, + "grad_norm": 1.046875, + "grad_norm_var": 8.680040423075358, + "learning_rate": 2e-05, + "loss": 0.1043, + "loss/crossentropy": 2.019789695739746, + "loss/hidden": 0.095703125, + "loss/logits": 0.0086362911388278, + "step": 204 + }, + { + "epoch": 0.205, + "grad_norm": 0.953125, + "grad_norm_var": 8.64425245920817, + "learning_rate": 2e-05, + "loss": 0.1081, + "loss/crossentropy": 1.9956069588661194, + "loss/hidden": 0.0986328125, + "loss/logits": 0.009510128758847713, + "step": 205 + }, + { + "epoch": 0.206, + "grad_norm": 0.90234375, + "grad_norm_var": 0.4452044169108073, + "learning_rate": 2e-05, + "loss": 0.1047, + "loss/crossentropy": 1.838368535041809, + "loss/hidden": 0.09619140625, + "loss/logits": 0.008526989258825779, + "step": 206 + }, + { + "epoch": 0.207, + "grad_norm": 1.6015625, + "grad_norm_var": 0.399859619140625, + "learning_rate": 2e-05, + "loss": 0.0996, + "loss/crossentropy": 1.0530972927808762, + "loss/hidden": 0.094482421875, + "loss/logits": 0.0051099995616823435, + "step": 207 + }, + { + "epoch": 0.208, + "grad_norm": 1.09375, + "grad_norm_var": 0.3978533426920573, + "learning_rate": 2e-05, + "loss": 0.1135, + "loss/crossentropy": 1.8649645447731018, + "loss/hidden": 0.10400390625, + "loss/logits": 0.00953456899151206, + "step": 208 + }, + { + "epoch": 0.209, + "grad_norm": 2.28125, + "grad_norm_var": 0.4300188700358073, + "learning_rate": 2e-05, + "loss": 0.1115, + "loss/crossentropy": 2.3657619953155518, + "loss/hidden": 0.100830078125, + "loss/logits": 0.01067457627505064, + "step": 209 + }, + { + "epoch": 0.21, + "grad_norm": 1.71875, + "grad_norm_var": 0.4286265055338542, + "learning_rate": 2e-05, + "loss": 0.1102, + "loss/crossentropy": 1.952780544757843, + "loss/hidden": 0.1005859375, + "loss/logits": 0.009660405106842518, + "step": 210 + }, + { + "epoch": 0.211, + "grad_norm": 0.97265625, + "grad_norm_var": 0.4256479263305664, + "learning_rate": 2e-05, + "loss": 0.1107, + "loss/crossentropy": 1.7751940488815308, + "loss/hidden": 0.10205078125, + "loss/logits": 0.008633972378447652, + "step": 211 + }, + { + "epoch": 0.212, + "grad_norm": 0.92578125, + "grad_norm_var": 0.38250630696614585, + "learning_rate": 2e-05, + "loss": 0.1148, + "loss/crossentropy": 1.8458402156829834, + "loss/hidden": 0.105224609375, + "loss/logits": 0.009561538230627775, + "step": 212 + }, + { + "epoch": 0.213, + "grad_norm": 1.0546875, + "grad_norm_var": 0.36706517537434896, + "learning_rate": 2e-05, + "loss": 0.1085, + "loss/crossentropy": 2.008933424949646, + "loss/hidden": 0.098876953125, + "loss/logits": 0.009649577550590038, + "step": 213 + }, + { + "epoch": 0.214, + "grad_norm": 1.109375, + "grad_norm_var": 0.368017323811849, + "learning_rate": 2e-05, + "loss": 0.1136, + "loss/crossentropy": 1.6732726097106934, + "loss/hidden": 0.104736328125, + "loss/logits": 0.008881766349077225, + "step": 214 + }, + { + "epoch": 0.215, + "grad_norm": 1.46875, + "grad_norm_var": 0.3616566975911458, + "learning_rate": 2e-05, + "loss": 0.1176, + "loss/crossentropy": 1.7936006784439087, + "loss/hidden": 0.1083984375, + "loss/logits": 0.009185456205159426, + "step": 215 + }, + { + "epoch": 0.216, + "grad_norm": 0.765625, + "grad_norm_var": 0.3815104166666667, + "learning_rate": 2e-05, + "loss": 0.1129, + "loss/crossentropy": 2.183436155319214, + "loss/hidden": 0.1025390625, + "loss/logits": 0.01038127625361085, + "step": 216 + }, + { + "epoch": 0.217, + "grad_norm": 1.3984375, + "grad_norm_var": 0.3744341532389323, + "learning_rate": 2e-05, + "loss": 0.1261, + "loss/crossentropy": 1.854296088218689, + "loss/hidden": 0.113525390625, + "loss/logits": 0.012611255049705505, + "step": 217 + }, + { + "epoch": 0.218, + "grad_norm": 1.0390625, + "grad_norm_var": 0.3695194880167643, + "learning_rate": 2e-05, + "loss": 0.1126, + "loss/crossentropy": 1.6531599760055542, + "loss/hidden": 0.10400390625, + "loss/logits": 0.008608407340943813, + "step": 218 + }, + { + "epoch": 0.219, + "grad_norm": 1.625, + "grad_norm_var": 0.16072940826416016, + "learning_rate": 2e-05, + "loss": 0.1235, + "loss/crossentropy": 1.841816484928131, + "loss/hidden": 0.111083984375, + "loss/logits": 0.012444535735994577, + "step": 219 + }, + { + "epoch": 0.22, + "grad_norm": 1.4140625, + "grad_norm_var": 0.159342892964681, + "learning_rate": 2e-05, + "loss": 0.1123, + "loss/crossentropy": 1.8304393887519836, + "loss/hidden": 0.1025390625, + "loss/logits": 0.009785267058759928, + "step": 220 + }, + { + "epoch": 0.221, + "grad_norm": 48.75, + "grad_norm_var": 140.92207330067953, + "learning_rate": 2e-05, + "loss": 0.1595, + "loss/crossentropy": 1.5171640515327454, + "loss/hidden": 0.1435546875, + "loss/logits": 0.01598053053021431, + "step": 221 + }, + { + "epoch": 0.222, + "grad_norm": 3.0, + "grad_norm_var": 140.2586690266927, + "learning_rate": 2e-05, + "loss": 0.1352, + "loss/crossentropy": 1.230861783027649, + "loss/hidden": 0.12548828125, + "loss/logits": 0.00975158391520381, + "step": 222 + }, + { + "epoch": 0.223, + "grad_norm": 0.96875, + "grad_norm_var": 140.51885960896809, + "learning_rate": 2e-05, + "loss": 0.1252, + "loss/crossentropy": 1.9903615713119507, + "loss/hidden": 0.11474609375, + "loss/logits": 0.010449206922203302, + "step": 223 + }, + { + "epoch": 0.224, + "grad_norm": 0.96875, + "grad_norm_var": 140.57409235636393, + "learning_rate": 2e-05, + "loss": 0.1248, + "loss/crossentropy": 1.9731428623199463, + "loss/hidden": 0.114501953125, + "loss/logits": 0.010306693147867918, + "step": 224 + }, + { + "epoch": 0.225, + "grad_norm": 1.7421875, + "grad_norm_var": 140.74032084147134, + "learning_rate": 2e-05, + "loss": 0.1181, + "loss/crossentropy": 2.2073622941970825, + "loss/hidden": 0.1083984375, + "loss/logits": 0.009740452282130718, + "step": 225 + }, + { + "epoch": 0.226, + "grad_norm": 1.421875, + "grad_norm_var": 140.84830525716146, + "learning_rate": 2e-05, + "loss": 0.1331, + "loss/crossentropy": 1.8276602029800415, + "loss/hidden": 0.12158203125, + "loss/logits": 0.011564167682081461, + "step": 226 + }, + { + "epoch": 0.227, + "grad_norm": 1.5703125, + "grad_norm_var": 140.60635369618734, + "learning_rate": 2e-05, + "loss": 0.1277, + "loss/crossentropy": 1.6165171265602112, + "loss/hidden": 0.11865234375, + "loss/logits": 0.009028040803968906, + "step": 227 + }, + { + "epoch": 0.228, + "grad_norm": 1.640625, + "grad_norm_var": 140.31416829427084, + "learning_rate": 2e-05, + "loss": 0.1452, + "loss/crossentropy": 1.9070194959640503, + "loss/hidden": 0.132080078125, + "loss/logits": 0.01316736824810505, + "step": 228 + }, + { + "epoch": 0.229, + "grad_norm": 1.2421875, + "grad_norm_var": 140.23345540364582, + "learning_rate": 2e-05, + "loss": 0.1219, + "loss/crossentropy": 1.7599803805351257, + "loss/hidden": 0.11181640625, + "loss/logits": 0.010045101400464773, + "step": 229 + }, + { + "epoch": 0.23, + "grad_norm": 1.2109375, + "grad_norm_var": 140.18977228800455, + "learning_rate": 2e-05, + "loss": 0.1235, + "loss/crossentropy": 1.7666748762130737, + "loss/hidden": 0.11328125, + "loss/logits": 0.010186517611145973, + "step": 230 + }, + { + "epoch": 0.231, + "grad_norm": 0.90625, + "grad_norm_var": 140.4285784403483, + "learning_rate": 2e-05, + "loss": 0.1227, + "loss/crossentropy": 2.1898998022079468, + "loss/hidden": 0.111083984375, + "loss/logits": 0.011586464941501617, + "step": 231 + }, + { + "epoch": 0.232, + "grad_norm": 3.34375, + "grad_norm_var": 139.61049372355143, + "learning_rate": 2e-05, + "loss": 0.1371, + "loss/crossentropy": 0.8376815989613533, + "loss/hidden": 0.13134765625, + "loss/logits": 0.005797527148388326, + "step": 232 + }, + { + "epoch": 0.233, + "grad_norm": 0.97265625, + "grad_norm_var": 139.79876194000244, + "learning_rate": 2e-05, + "loss": 0.1231, + "loss/crossentropy": 2.154396891593933, + "loss/hidden": 0.11328125, + "loss/logits": 0.00980774499475956, + "step": 233 + }, + { + "epoch": 0.234, + "grad_norm": 3.96875, + "grad_norm_var": 138.98775730133056, + "learning_rate": 2e-05, + "loss": 0.1401, + "loss/crossentropy": 1.683815360069275, + "loss/hidden": 0.130859375, + "loss/logits": 0.009223262313753366, + "step": 234 + }, + { + "epoch": 0.235, + "grad_norm": 3.046875, + "grad_norm_var": 138.5365248998006, + "learning_rate": 2e-05, + "loss": 0.1141, + "loss/crossentropy": 0.9084681533277035, + "loss/hidden": 0.109130859375, + "loss/logits": 0.004976746684405953, + "step": 235 + }, + { + "epoch": 0.236, + "grad_norm": 1.1015625, + "grad_norm_var": 138.68206322987874, + "learning_rate": 2e-05, + "loss": 0.125, + "loss/crossentropy": 2.260706901550293, + "loss/hidden": 0.114501953125, + "loss/logits": 0.010530740953981876, + "step": 236 + }, + { + "epoch": 0.237, + "grad_norm": 0.96484375, + "grad_norm_var": 0.9987485249837239, + "learning_rate": 2e-05, + "loss": 0.1338, + "loss/crossentropy": 1.9574591517448425, + "loss/hidden": 0.121337890625, + "loss/logits": 0.012480344157665968, + "step": 237 + }, + { + "epoch": 0.238, + "grad_norm": 1.34375, + "grad_norm_var": 0.8951250712076823, + "learning_rate": 2e-05, + "loss": 0.1468, + "loss/crossentropy": 1.6318422555923462, + "loss/hidden": 0.13525390625, + "loss/logits": 0.011589228175580502, + "step": 238 + }, + { + "epoch": 0.239, + "grad_norm": 3.15625, + "grad_norm_var": 0.9952430725097656, + "learning_rate": 2e-05, + "loss": 0.146, + "loss/crossentropy": 1.0812250077724457, + "loss/hidden": 0.1376953125, + "loss/logits": 0.00828252313658595, + "step": 239 + }, + { + "epoch": 0.24, + "grad_norm": 1.234375, + "grad_norm_var": 0.9706520080566406, + "learning_rate": 2e-05, + "loss": 0.1321, + "loss/crossentropy": 1.6809369325637817, + "loss/hidden": 0.12109375, + "loss/logits": 0.011021927930414677, + "step": 240 + }, + { + "epoch": 0.241, + "grad_norm": 1.8046875, + "grad_norm_var": 0.970379384358724, + "learning_rate": 2e-05, + "loss": 0.1399, + "loss/crossentropy": 2.109734356403351, + "loss/hidden": 0.129150390625, + "loss/logits": 0.010797888273373246, + "step": 241 + }, + { + "epoch": 0.242, + "grad_norm": 1.90625, + "grad_norm_var": 0.9600990295410157, + "learning_rate": 2e-05, + "loss": 0.1826, + "loss/crossentropy": 1.712592601776123, + "loss/hidden": 0.164794921875, + "loss/logits": 0.017772471997886896, + "step": 242 + }, + { + "epoch": 0.243, + "grad_norm": 2.515625, + "grad_norm_var": 0.9821624755859375, + "learning_rate": 2e-05, + "loss": 0.1467, + "loss/crossentropy": 1.7069213390350342, + "loss/hidden": 0.13525390625, + "loss/logits": 0.01143598323687911, + "step": 243 + }, + { + "epoch": 0.244, + "grad_norm": 1.3828125, + "grad_norm_var": 0.9951454162597656, + "learning_rate": 2e-05, + "loss": 0.1557, + "loss/crossentropy": 1.9101948738098145, + "loss/hidden": 0.14111328125, + "loss/logits": 0.01458168076351285, + "step": 244 + }, + { + "epoch": 0.245, + "grad_norm": 1.796875, + "grad_norm_var": 0.9671040852864583, + "learning_rate": 2e-05, + "loss": 0.182, + "loss/crossentropy": 1.500315010547638, + "loss/hidden": 0.16650390625, + "loss/logits": 0.015495330560952425, + "step": 245 + }, + { + "epoch": 0.246, + "grad_norm": 1.2890625, + "grad_norm_var": 0.9601409912109375, + "learning_rate": 2e-05, + "loss": 0.1356, + "loss/crossentropy": 1.9563832879066467, + "loss/hidden": 0.125, + "loss/logits": 0.010621066205203533, + "step": 246 + }, + { + "epoch": 0.247, + "grad_norm": 1.3203125, + "grad_norm_var": 0.9148394266764323, + "learning_rate": 2e-05, + "loss": 0.1562, + "loss/crossentropy": 1.7067843675613403, + "loss/hidden": 0.14306640625, + "loss/logits": 0.013140381313860416, + "step": 247 + }, + { + "epoch": 0.248, + "grad_norm": 5.65625, + "grad_norm_var": 1.6798011779785156, + "learning_rate": 2e-05, + "loss": 0.1564, + "loss/crossentropy": 1.740093469619751, + "loss/hidden": 0.14404296875, + "loss/logits": 0.012368456460535526, + "step": 248 + }, + { + "epoch": 0.249, + "grad_norm": 1.03125, + "grad_norm_var": 1.6712762832641601, + "learning_rate": 2e-05, + "loss": 0.1465, + "loss/crossentropy": 1.6390604376792908, + "loss/hidden": 0.13525390625, + "loss/logits": 0.011263488791882992, + "step": 249 + }, + { + "epoch": 0.25, + "grad_norm": 2.296875, + "grad_norm_var": 1.4282775243123373, + "learning_rate": 2e-05, + "loss": 0.138, + "loss/crossentropy": 1.4673374891281128, + "loss/hidden": 0.12744140625, + "loss/logits": 0.010537488851696253, + "step": 250 + }, + { + "epoch": 0.251, + "grad_norm": 1.1015625, + "grad_norm_var": 1.3907897313435873, + "learning_rate": 2e-05, + "loss": 0.1444, + "loss/crossentropy": 2.2028943300247192, + "loss/hidden": 0.130859375, + "loss/logits": 0.013547219336032867, + "step": 251 + }, + { + "epoch": 0.252, + "grad_norm": 6.09375, + "grad_norm_var": 2.4376540501912434, + "learning_rate": 2e-05, + "loss": 0.1647, + "loss/crossentropy": 2.0260573029518127, + "loss/hidden": 0.1513671875, + "loss/logits": 0.01333728851750493, + "step": 252 + }, + { + "epoch": 0.253, + "grad_norm": 6.03125, + "grad_norm_var": 3.2204566955566407, + "learning_rate": 2e-05, + "loss": 0.1512, + "loss/crossentropy": 0.34831926599144936, + "loss/hidden": 0.1484375, + "loss/logits": 0.0027739905344787985, + "step": 253 + }, + { + "epoch": 0.254, + "grad_norm": 1.9921875, + "grad_norm_var": 3.1469797770182293, + "learning_rate": 2e-05, + "loss": 0.1476, + "loss/crossentropy": 2.248442053794861, + "loss/hidden": 0.13427734375, + "loss/logits": 0.013290174771100283, + "step": 254 + }, + { + "epoch": 0.255, + "grad_norm": 1.703125, + "grad_norm_var": 3.1591837565104166, + "learning_rate": 2e-05, + "loss": 0.1564, + "loss/crossentropy": 2.827474355697632, + "loss/hidden": 0.14208984375, + "loss/logits": 0.014359638560563326, + "step": 255 + }, + { + "epoch": 0.256, + "grad_norm": 1.90625, + "grad_norm_var": 3.0787424723307293, + "learning_rate": 2e-05, + "loss": 0.1662, + "loss/crossentropy": 1.315816342830658, + "loss/hidden": 0.15380859375, + "loss/logits": 0.012355703860521317, + "step": 256 + }, + { + "epoch": 0.257, + "grad_norm": 1.4296875, + "grad_norm_var": 3.121760050455729, + "learning_rate": 2e-05, + "loss": 0.1513, + "loss/crossentropy": 1.420203685760498, + "loss/hidden": 0.14013671875, + "loss/logits": 0.011188656091690063, + "step": 257 + }, + { + "epoch": 0.258, + "grad_norm": 1.1796875, + "grad_norm_var": 3.2089617411295572, + "learning_rate": 2e-05, + "loss": 0.1473, + "loss/crossentropy": 1.659629762172699, + "loss/hidden": 0.13623046875, + "loss/logits": 0.011019795201718807, + "step": 258 + }, + { + "epoch": 0.259, + "grad_norm": 2.34375, + "grad_norm_var": 3.2086260477701822, + "learning_rate": 2e-05, + "loss": 0.1416, + "loss/crossentropy": 2.383759617805481, + "loss/hidden": 0.130859375, + "loss/logits": 0.01075922092422843, + "step": 259 + }, + { + "epoch": 0.26, + "grad_norm": 1.21875, + "grad_norm_var": 3.232770792643229, + "learning_rate": 2e-05, + "loss": 0.1489, + "loss/crossentropy": 2.2486014366149902, + "loss/hidden": 0.1357421875, + "loss/logits": 0.013177596032619476, + "step": 260 + }, + { + "epoch": 0.261, + "grad_norm": 1.9765625, + "grad_norm_var": 3.2203529357910154, + "learning_rate": 2e-05, + "loss": 0.1598, + "loss/crossentropy": 1.5499208569526672, + "loss/hidden": 0.1435546875, + "loss/logits": 0.01623948197811842, + "step": 261 + }, + { + "epoch": 0.262, + "grad_norm": 1.3359375, + "grad_norm_var": 3.2134803771972655, + "learning_rate": 2e-05, + "loss": 0.1576, + "loss/crossentropy": 2.002042293548584, + "loss/hidden": 0.14453125, + "loss/logits": 0.013080449774861336, + "step": 262 + }, + { + "epoch": 0.263, + "grad_norm": 1.34375, + "grad_norm_var": 3.2100982666015625, + "learning_rate": 2e-05, + "loss": 0.1644, + "loss/crossentropy": 1.708718717098236, + "loss/hidden": 0.1513671875, + "loss/logits": 0.013069577515125275, + "step": 263 + }, + { + "epoch": 0.264, + "grad_norm": 1.7890625, + "grad_norm_var": 2.4735450744628906, + "learning_rate": 2e-05, + "loss": 0.1842, + "loss/crossentropy": 1.708518147468567, + "loss/hidden": 0.1689453125, + "loss/logits": 0.015263590961694717, + "step": 264 + }, + { + "epoch": 0.265, + "grad_norm": 1.75, + "grad_norm_var": 2.3963823954264325, + "learning_rate": 2e-05, + "loss": 0.1611, + "loss/crossentropy": 2.0935128927230835, + "loss/hidden": 0.14794921875, + "loss/logits": 0.013175863306969404, + "step": 265 + }, + { + "epoch": 0.266, + "grad_norm": 1.2578125, + "grad_norm_var": 2.4529693603515623, + "learning_rate": 2e-05, + "loss": 0.1585, + "loss/crossentropy": 2.1675453186035156, + "loss/hidden": 0.14453125, + "loss/logits": 0.014018273446708918, + "step": 266 + }, + { + "epoch": 0.267, + "grad_norm": 1.6953125, + "grad_norm_var": 2.3917388916015625, + "learning_rate": 2e-05, + "loss": 0.1635, + "loss/crossentropy": 1.6719801425933838, + "loss/hidden": 0.15087890625, + "loss/logits": 0.012653316371142864, + "step": 267 + }, + { + "epoch": 0.268, + "grad_norm": 1.984375, + "grad_norm_var": 1.3084798177083334, + "learning_rate": 2e-05, + "loss": 0.1916, + "loss/crossentropy": 1.020781397819519, + "loss/hidden": 0.1787109375, + "loss/logits": 0.012872546911239624, + "step": 268 + }, + { + "epoch": 0.269, + "grad_norm": 0.9765625, + "grad_norm_var": 0.1436968485514323, + "learning_rate": 2e-05, + "loss": 0.1506, + "loss/crossentropy": 1.80218106508255, + "loss/hidden": 0.1376953125, + "loss/logits": 0.01287886407226324, + "step": 269 + }, + { + "epoch": 0.27, + "grad_norm": 1.2578125, + "grad_norm_var": 0.14073257446289061, + "learning_rate": 2e-05, + "loss": 0.1604, + "loss/crossentropy": 1.7428264021873474, + "loss/hidden": 0.14794921875, + "loss/logits": 0.012486261315643787, + "step": 270 + }, + { + "epoch": 0.271, + "grad_norm": 1.6484375, + "grad_norm_var": 0.13996175130208333, + "learning_rate": 2e-05, + "loss": 0.1521, + "loss/crossentropy": 1.1585648953914642, + "loss/hidden": 0.14404296875, + "loss/logits": 0.008048155345022678, + "step": 271 + }, + { + "epoch": 0.272, + "grad_norm": 1.2578125, + "grad_norm_var": 0.13702774047851562, + "learning_rate": 2e-05, + "loss": 0.1655, + "loss/crossentropy": 1.9835703372955322, + "loss/hidden": 0.15185546875, + "loss/logits": 0.013653023168444633, + "step": 272 + }, + { + "epoch": 0.273, + "grad_norm": 0.984375, + "grad_norm_var": 0.1552490234375, + "learning_rate": 2e-05, + "loss": 0.1703, + "loss/crossentropy": 2.008173108100891, + "loss/hidden": 0.1552734375, + "loss/logits": 0.015069750137627125, + "step": 273 + }, + { + "epoch": 0.274, + "grad_norm": 1.28125, + "grad_norm_var": 0.15155614217122396, + "learning_rate": 2e-05, + "loss": 0.1827, + "loss/crossentropy": 1.7864757776260376, + "loss/hidden": 0.16650390625, + "loss/logits": 0.016235563438385725, + "step": 274 + }, + { + "epoch": 0.275, + "grad_norm": 1.421875, + "grad_norm_var": 0.10174128214518229, + "learning_rate": 2e-05, + "loss": 0.1897, + "loss/crossentropy": 1.565641164779663, + "loss/hidden": 0.1728515625, + "loss/logits": 0.01689150184392929, + "step": 275 + }, + { + "epoch": 0.276, + "grad_norm": 1.34375, + "grad_norm_var": 0.09888483683268229, + "learning_rate": 2e-05, + "loss": 0.1613, + "loss/crossentropy": 2.0091532468795776, + "loss/hidden": 0.14892578125, + "loss/logits": 0.01232942147180438, + "step": 276 + }, + { + "epoch": 0.277, + "grad_norm": 1.0703125, + "grad_norm_var": 0.08737970987955729, + "learning_rate": 2e-05, + "loss": 0.1649, + "loss/crossentropy": 1.713157057762146, + "loss/hidden": 0.15283203125, + "loss/logits": 0.012066506315022707, + "step": 277 + }, + { + "epoch": 0.278, + "grad_norm": 1.953125, + "grad_norm_var": 0.1059234619140625, + "learning_rate": 2e-05, + "loss": 0.1488, + "loss/crossentropy": 2.7945786714553833, + "loss/hidden": 0.1357421875, + "loss/logits": 0.01302829384803772, + "step": 278 + }, + { + "epoch": 0.279, + "grad_norm": 1.34375, + "grad_norm_var": 0.1059234619140625, + "learning_rate": 2e-05, + "loss": 0.1874, + "loss/crossentropy": 1.5954543948173523, + "loss/hidden": 0.1728515625, + "loss/logits": 0.014592200517654419, + "step": 279 + }, + { + "epoch": 0.28, + "grad_norm": 3.875, + "grad_norm_var": 0.4753761291503906, + "learning_rate": 2e-05, + "loss": 0.1574, + "loss/crossentropy": 0.8256451673805714, + "loss/hidden": 0.14990234375, + "loss/logits": 0.007495811965782195, + "step": 280 + }, + { + "epoch": 0.281, + "grad_norm": 1.84375, + "grad_norm_var": 0.47818984985351565, + "learning_rate": 2e-05, + "loss": 0.1664, + "loss/crossentropy": 2.1294795870780945, + "loss/hidden": 0.1513671875, + "loss/logits": 0.015040545724332333, + "step": 281 + }, + { + "epoch": 0.282, + "grad_norm": 1.125, + "grad_norm_var": 0.4849039713541667, + "learning_rate": 2e-05, + "loss": 0.1653, + "loss/crossentropy": 2.227915644645691, + "loss/hidden": 0.1513671875, + "loss/logits": 0.013931581284850836, + "step": 282 + }, + { + "epoch": 0.283, + "grad_norm": 1.453125, + "grad_norm_var": 0.48440729777018227, + "learning_rate": 2e-05, + "loss": 0.1845, + "loss/crossentropy": 2.2042417526245117, + "loss/hidden": 0.1669921875, + "loss/logits": 0.017517327796667814, + "step": 283 + }, + { + "epoch": 0.284, + "grad_norm": 1.25, + "grad_norm_var": 0.4757057189941406, + "learning_rate": 2e-05, + "loss": 0.1747, + "loss/crossentropy": 1.6324898600578308, + "loss/hidden": 0.16162109375, + "loss/logits": 0.013037709519267082, + "step": 284 + }, + { + "epoch": 0.285, + "grad_norm": 1.984375, + "grad_norm_var": 0.46812744140625, + "learning_rate": 2e-05, + "loss": 0.184, + "loss/crossentropy": 1.3294448852539062, + "loss/hidden": 0.1708984375, + "loss/logits": 0.01308374060317874, + "step": 285 + }, + { + "epoch": 0.286, + "grad_norm": 1.5859375, + "grad_norm_var": 0.4612701416015625, + "learning_rate": 2e-05, + "loss": 0.1663, + "loss/crossentropy": 2.046096980571747, + "loss/hidden": 0.1533203125, + "loss/logits": 0.012951537501066923, + "step": 286 + }, + { + "epoch": 0.287, + "grad_norm": 1.453125, + "grad_norm_var": 0.462103017171224, + "learning_rate": 2e-05, + "loss": 0.2072, + "loss/crossentropy": 1.6311957836151123, + "loss/hidden": 0.18994140625, + "loss/logits": 0.017279242165386677, + "step": 287 + }, + { + "epoch": 0.288, + "grad_norm": 1.1640625, + "grad_norm_var": 0.46663792928059894, + "learning_rate": 2e-05, + "loss": 0.1617, + "loss/crossentropy": 2.061966359615326, + "loss/hidden": 0.1474609375, + "loss/logits": 0.014273086562752724, + "step": 288 + }, + { + "epoch": 0.289, + "grad_norm": 1.796875, + "grad_norm_var": 0.44436823527018227, + "learning_rate": 2e-05, + "loss": 0.2079, + "loss/crossentropy": 2.167171001434326, + "loss/hidden": 0.1884765625, + "loss/logits": 0.01938449963927269, + "step": 289 + }, + { + "epoch": 0.29, + "grad_norm": 1.5390625, + "grad_norm_var": 0.4368235270182292, + "learning_rate": 2e-05, + "loss": 0.1681, + "loss/crossentropy": 1.8964014649391174, + "loss/hidden": 0.15478515625, + "loss/logits": 0.01332055265083909, + "step": 290 + }, + { + "epoch": 0.291, + "grad_norm": 1.8203125, + "grad_norm_var": 0.4352801005045573, + "learning_rate": 2e-05, + "loss": 0.1799, + "loss/crossentropy": 1.615691602230072, + "loss/hidden": 0.16650390625, + "loss/logits": 0.013393020257353783, + "step": 291 + }, + { + "epoch": 0.292, + "grad_norm": 1.09375, + "grad_norm_var": 0.4498146057128906, + "learning_rate": 2e-05, + "loss": 0.1902, + "loss/crossentropy": 1.7846480011940002, + "loss/hidden": 0.17529296875, + "loss/logits": 0.014929667580872774, + "step": 292 + }, + { + "epoch": 0.293, + "grad_norm": 4.40625, + "grad_norm_var": 0.8888509114583333, + "learning_rate": 2e-05, + "loss": 0.1837, + "loss/crossentropy": 2.181917905807495, + "loss/hidden": 0.16845703125, + "loss/logits": 0.015237171668559313, + "step": 293 + }, + { + "epoch": 0.294, + "grad_norm": 1.09375, + "grad_norm_var": 0.9238189697265625, + "learning_rate": 2e-05, + "loss": 0.2001, + "loss/crossentropy": 1.679999053478241, + "loss/hidden": 0.18505859375, + "loss/logits": 0.015001565217971802, + "step": 294 + }, + { + "epoch": 0.295, + "grad_norm": 1.03125, + "grad_norm_var": 0.9490061442057292, + "learning_rate": 2e-05, + "loss": 0.1837, + "loss/crossentropy": 1.9540930390357971, + "loss/hidden": 0.16845703125, + "loss/logits": 0.015270334668457508, + "step": 295 + }, + { + "epoch": 0.296, + "grad_norm": 1.9453125, + "grad_norm_var": 0.6432838439941406, + "learning_rate": 2e-05, + "loss": 0.1955, + "loss/crossentropy": 1.6934563517570496, + "loss/hidden": 0.181640625, + "loss/logits": 0.013896575663238764, + "step": 296 + }, + { + "epoch": 0.297, + "grad_norm": 2.140625, + "grad_norm_var": 0.6560015360514323, + "learning_rate": 2e-05, + "loss": 0.2318, + "loss/crossentropy": 2.22105610370636, + "loss/hidden": 0.2080078125, + "loss/logits": 0.0237618088722229, + "step": 297 + }, + { + "epoch": 0.298, + "grad_norm": 0.9140625, + "grad_norm_var": 0.6743967692057292, + "learning_rate": 2e-05, + "loss": 0.1801, + "loss/crossentropy": 2.1219042539596558, + "loss/hidden": 0.16455078125, + "loss/logits": 0.015568919479846954, + "step": 298 + }, + { + "epoch": 0.299, + "grad_norm": 1.140625, + "grad_norm_var": 0.6894114176432292, + "learning_rate": 2e-05, + "loss": 0.1764, + "loss/crossentropy": 1.493699312210083, + "loss/hidden": 0.16357421875, + "loss/logits": 0.012840181589126587, + "step": 299 + }, + { + "epoch": 0.3, + "grad_norm": 2.234375, + "grad_norm_var": 0.6978068033854167, + "learning_rate": 2e-05, + "loss": 0.1802, + "loss/crossentropy": 2.2966129779815674, + "loss/hidden": 0.16455078125, + "loss/logits": 0.015650255605578423, + "step": 300 + }, + { + "epoch": 0.301, + "grad_norm": 2.609375, + "grad_norm_var": 0.7451700846354167, + "learning_rate": 2e-05, + "loss": 0.1937, + "loss/crossentropy": 1.6076778769493103, + "loss/hidden": 0.17919921875, + "loss/logits": 0.014486700296401978, + "step": 301 + }, + { + "epoch": 0.302, + "grad_norm": 1.421875, + "grad_norm_var": 0.7503985087076823, + "learning_rate": 2e-05, + "loss": 0.2056, + "loss/crossentropy": 1.8623589277267456, + "loss/hidden": 0.1875, + "loss/logits": 0.018080852460116148, + "step": 302 + }, + { + "epoch": 0.303, + "grad_norm": 1.1015625, + "grad_norm_var": 0.7714670817057292, + "learning_rate": 2e-05, + "loss": 0.1809, + "loss/crossentropy": 2.4212971925735474, + "loss/hidden": 0.166015625, + "loss/logits": 0.014885799959301949, + "step": 303 + }, + { + "epoch": 0.304, + "grad_norm": 2.90625, + "grad_norm_var": 0.8329994201660156, + "learning_rate": 2e-05, + "loss": 0.2033, + "loss/crossentropy": 1.7328632473945618, + "loss/hidden": 0.1845703125, + "loss/logits": 0.018764227628707886, + "step": 304 + }, + { + "epoch": 0.305, + "grad_norm": 1.359375, + "grad_norm_var": 0.8465858459472656, + "learning_rate": 2e-05, + "loss": 0.1893, + "loss/crossentropy": 2.2132304906845093, + "loss/hidden": 0.1728515625, + "loss/logits": 0.01644426677376032, + "step": 305 + }, + { + "epoch": 0.306, + "grad_norm": 1.1953125, + "grad_norm_var": 0.8658098856608073, + "learning_rate": 2e-05, + "loss": 0.1886, + "loss/crossentropy": 1.9263676404953003, + "loss/hidden": 0.17333984375, + "loss/logits": 0.015250771306455135, + "step": 306 + }, + { + "epoch": 0.307, + "grad_norm": 2.203125, + "grad_norm_var": 0.8772369384765625, + "learning_rate": 2e-05, + "loss": 0.1854, + "loss/crossentropy": 0.4892140328884125, + "loss/hidden": 0.17919921875, + "loss/logits": 0.006185333244502544, + "step": 307 + }, + { + "epoch": 0.308, + "grad_norm": 2.109375, + "grad_norm_var": 0.84609375, + "learning_rate": 2e-05, + "loss": 0.1979, + "loss/crossentropy": 1.4508822858333588, + "loss/hidden": 0.1875, + "loss/logits": 0.010406092507764697, + "step": 308 + }, + { + "epoch": 0.309, + "grad_norm": 1.4296875, + "grad_norm_var": 0.3905982971191406, + "learning_rate": 2e-05, + "loss": 0.202, + "loss/crossentropy": 2.148550570011139, + "loss/hidden": 0.1845703125, + "loss/logits": 0.01741566974669695, + "step": 309 + }, + { + "epoch": 0.31, + "grad_norm": 1.953125, + "grad_norm_var": 0.36989720662434894, + "learning_rate": 2e-05, + "loss": 0.1966, + "loss/crossentropy": 2.151822566986084, + "loss/hidden": 0.1787109375, + "loss/logits": 0.0178435780107975, + "step": 310 + }, + { + "epoch": 0.311, + "grad_norm": 1.453125, + "grad_norm_var": 0.341662343343099, + "learning_rate": 2e-05, + "loss": 0.1841, + "loss/crossentropy": 2.1770130395889282, + "loss/hidden": 0.16796875, + "loss/logits": 0.016128853894770145, + "step": 311 + }, + { + "epoch": 0.312, + "grad_norm": 1.2890625, + "grad_norm_var": 0.352129872639974, + "learning_rate": 2e-05, + "loss": 0.207, + "loss/crossentropy": 1.3690854907035828, + "loss/hidden": 0.19189453125, + "loss/logits": 0.015079677104949951, + "step": 312 + }, + { + "epoch": 0.313, + "grad_norm": 0.921875, + "grad_norm_var": 0.376012929280599, + "learning_rate": 2e-05, + "loss": 0.1903, + "loss/crossentropy": 1.8874292969703674, + "loss/hidden": 0.17578125, + "loss/logits": 0.014515384566038847, + "step": 313 + }, + { + "epoch": 0.314, + "grad_norm": 1.125, + "grad_norm_var": 0.3583730061848958, + "learning_rate": 2e-05, + "loss": 0.194, + "loss/crossentropy": 1.7909797430038452, + "loss/hidden": 0.1796875, + "loss/logits": 0.014313298743218184, + "step": 314 + }, + { + "epoch": 0.315, + "grad_norm": 1.6640625, + "grad_norm_var": 0.33971532185872394, + "learning_rate": 2e-05, + "loss": 0.21, + "loss/crossentropy": 1.5393443405628204, + "loss/hidden": 0.19482421875, + "loss/logits": 0.015221260488033295, + "step": 315 + }, + { + "epoch": 0.316, + "grad_norm": 26.0, + "grad_norm_var": 37.3775754292806, + "learning_rate": 2e-05, + "loss": 0.2622, + "loss/crossentropy": 2.1051180362701416, + "loss/hidden": 0.2412109375, + "loss/logits": 0.021030566655099392, + "step": 316 + }, + { + "epoch": 0.317, + "grad_norm": 1.375, + "grad_norm_var": 37.565303293863934, + "learning_rate": 2e-05, + "loss": 0.1906, + "loss/crossentropy": 2.3774940967559814, + "loss/hidden": 0.17333984375, + "loss/logits": 0.01725342869758606, + "step": 317 + }, + { + "epoch": 0.318, + "grad_norm": 2.171875, + "grad_norm_var": 37.433223215738934, + "learning_rate": 2e-05, + "loss": 0.2138, + "loss/crossentropy": 1.8774001598358154, + "loss/hidden": 0.19580078125, + "loss/logits": 0.01802137354388833, + "step": 318 + }, + { + "epoch": 0.319, + "grad_norm": 1.8125, + "grad_norm_var": 37.271480305989584, + "learning_rate": 2e-05, + "loss": 0.1798, + "loss/crossentropy": 1.2233986854553223, + "loss/hidden": 0.16748046875, + "loss/logits": 0.01230758335441351, + "step": 319 + }, + { + "epoch": 0.32, + "grad_norm": 1.1328125, + "grad_norm_var": 37.53408991495768, + "learning_rate": 2e-05, + "loss": 0.1821, + "loss/crossentropy": 2.3604530096054077, + "loss/hidden": 0.16748046875, + "loss/logits": 0.014640996232628822, + "step": 320 + }, + { + "epoch": 0.321, + "grad_norm": 1.1484375, + "grad_norm_var": 37.58511454264323, + "learning_rate": 2e-05, + "loss": 0.1881, + "loss/crossentropy": 1.8407636880874634, + "loss/hidden": 0.1748046875, + "loss/logits": 0.013287198729813099, + "step": 321 + }, + { + "epoch": 0.322, + "grad_norm": 1.2890625, + "grad_norm_var": 37.56233622233073, + "learning_rate": 2e-05, + "loss": 0.2141, + "loss/crossentropy": 1.9129706621170044, + "loss/hidden": 0.197265625, + "loss/logits": 0.01678755320608616, + "step": 322 + }, + { + "epoch": 0.323, + "grad_norm": 2.0625, + "grad_norm_var": 37.579777018229166, + "learning_rate": 2e-05, + "loss": 0.2385, + "loss/crossentropy": 1.4077640175819397, + "loss/hidden": 0.21875, + "loss/logits": 0.01974598690867424, + "step": 323 + }, + { + "epoch": 0.324, + "grad_norm": 2.703125, + "grad_norm_var": 37.52666422526042, + "learning_rate": 2e-05, + "loss": 0.1895, + "loss/crossentropy": 1.964367389678955, + "loss/hidden": 0.17529296875, + "loss/logits": 0.014245324768126011, + "step": 324 + }, + { + "epoch": 0.325, + "grad_norm": 1.765625, + "grad_norm_var": 37.459093983968096, + "learning_rate": 2e-05, + "loss": 0.182, + "loss/crossentropy": 1.522091805934906, + "loss/hidden": 0.16943359375, + "loss/logits": 0.012529378291219473, + "step": 325 + }, + { + "epoch": 0.326, + "grad_norm": 1.34375, + "grad_norm_var": 37.5768430074056, + "learning_rate": 2e-05, + "loss": 0.2034, + "loss/crossentropy": 2.062265932559967, + "loss/hidden": 0.18603515625, + "loss/logits": 0.01738209556788206, + "step": 326 + }, + { + "epoch": 0.327, + "grad_norm": 2.015625, + "grad_norm_var": 37.47470677693685, + "learning_rate": 2e-05, + "loss": 0.162, + "loss/crossentropy": 0.8921825066208839, + "loss/hidden": 0.15478515625, + "loss/logits": 0.007188015151768923, + "step": 327 + }, + { + "epoch": 0.328, + "grad_norm": 2.703125, + "grad_norm_var": 37.25564676920573, + "learning_rate": 2e-05, + "loss": 0.2076, + "loss/crossentropy": 1.4789501875638962, + "loss/hidden": 0.19677734375, + "loss/logits": 0.010850622318685055, + "step": 328 + }, + { + "epoch": 0.329, + "grad_norm": 2.265625, + "grad_norm_var": 36.95995178222656, + "learning_rate": 2e-05, + "loss": 0.2166, + "loss/crossentropy": 1.5635761618614197, + "loss/hidden": 0.19921875, + "loss/logits": 0.017354733310639858, + "step": 329 + }, + { + "epoch": 0.33, + "grad_norm": 1.359375, + "grad_norm_var": 36.895849609375, + "learning_rate": 2e-05, + "loss": 0.2199, + "loss/crossentropy": 2.017998516559601, + "loss/hidden": 0.20166015625, + "loss/logits": 0.018201622180640697, + "step": 330 + }, + { + "epoch": 0.331, + "grad_norm": 1.1171875, + "grad_norm_var": 37.0338857014974, + "learning_rate": 2e-05, + "loss": 0.2122, + "loss/crossentropy": 2.3959954977035522, + "loss/hidden": 0.19287109375, + "loss/logits": 0.01937100477516651, + "step": 331 + }, + { + "epoch": 0.332, + "grad_norm": 1.2109375, + "grad_norm_var": 0.3013689676920573, + "learning_rate": 2e-05, + "loss": 0.2154, + "loss/crossentropy": 1.6444975137710571, + "loss/hidden": 0.19970703125, + "loss/logits": 0.015708534978330135, + "step": 332 + }, + { + "epoch": 0.333, + "grad_norm": 1.53125, + "grad_norm_var": 0.295763905843099, + "learning_rate": 2e-05, + "loss": 0.2496, + "loss/crossentropy": 1.7237208485603333, + "loss/hidden": 0.2294921875, + "loss/logits": 0.020079893060028553, + "step": 333 + }, + { + "epoch": 0.334, + "grad_norm": 2.25, + "grad_norm_var": 0.3007789611816406, + "learning_rate": 2e-05, + "loss": 0.2527, + "loss/crossentropy": 1.8400374054908752, + "loss/hidden": 0.23193359375, + "loss/logits": 0.020749946124851704, + "step": 334 + }, + { + "epoch": 0.335, + "grad_norm": 4.4375, + "grad_norm_var": 0.7596412658691406, + "learning_rate": 2e-05, + "loss": 0.2364, + "loss/crossentropy": 1.390014111995697, + "loss/hidden": 0.2197265625, + "loss/logits": 0.016656511463224888, + "step": 335 + }, + { + "epoch": 0.336, + "grad_norm": 1.7734375, + "grad_norm_var": 0.7201026916503906, + "learning_rate": 2e-05, + "loss": 0.2185, + "loss/crossentropy": 1.7787038087844849, + "loss/hidden": 0.201171875, + "loss/logits": 0.017284206114709377, + "step": 336 + }, + { + "epoch": 0.337, + "grad_norm": 1.84375, + "grad_norm_var": 0.6773020426432291, + "learning_rate": 2e-05, + "loss": 0.2114, + "loss/crossentropy": 1.867686927318573, + "loss/hidden": 0.1943359375, + "loss/logits": 0.017048891633749008, + "step": 337 + }, + { + "epoch": 0.338, + "grad_norm": 1.1640625, + "grad_norm_var": 0.6897857666015625, + "learning_rate": 2e-05, + "loss": 0.2197, + "loss/crossentropy": 1.9208934307098389, + "loss/hidden": 0.2021484375, + "loss/logits": 0.01750459522008896, + "step": 338 + }, + { + "epoch": 0.339, + "grad_norm": 1.4765625, + "grad_norm_var": 0.7041481018066407, + "learning_rate": 2e-05, + "loss": 0.242, + "loss/crossentropy": 2.2355746626853943, + "loss/hidden": 0.2216796875, + "loss/logits": 0.020301150158047676, + "step": 339 + }, + { + "epoch": 0.34, + "grad_norm": 3.9375, + "grad_norm_var": 0.9257891337076823, + "learning_rate": 2e-05, + "loss": 0.2155, + "loss/crossentropy": 0.8867910504341125, + "loss/hidden": 0.2080078125, + "loss/logits": 0.007481162436306477, + "step": 340 + }, + { + "epoch": 0.341, + "grad_norm": 1.484375, + "grad_norm_var": 0.9399798075358073, + "learning_rate": 2e-05, + "loss": 0.2585, + "loss/crossentropy": 2.052453339099884, + "loss/hidden": 0.23486328125, + "loss/logits": 0.023593857884407043, + "step": 341 + }, + { + "epoch": 0.342, + "grad_norm": 2.203125, + "grad_norm_var": 0.9115577697753906, + "learning_rate": 2e-05, + "loss": 0.2369, + "loss/crossentropy": 2.1617825031280518, + "loss/hidden": 0.21728515625, + "loss/logits": 0.0196513207629323, + "step": 342 + }, + { + "epoch": 0.343, + "grad_norm": 1.7578125, + "grad_norm_var": 0.9168365478515625, + "learning_rate": 2e-05, + "loss": 0.227, + "loss/crossentropy": 1.9764072895050049, + "loss/hidden": 0.20703125, + "loss/logits": 0.0199996093288064, + "step": 343 + }, + { + "epoch": 0.344, + "grad_norm": 1.5234375, + "grad_norm_var": 0.8982887268066406, + "learning_rate": 2e-05, + "loss": 0.2182, + "loss/crossentropy": 2.143546998500824, + "loss/hidden": 0.2001953125, + "loss/logits": 0.017965962179005146, + "step": 344 + }, + { + "epoch": 0.345, + "grad_norm": 2.171875, + "grad_norm_var": 0.8949989318847656, + "learning_rate": 2e-05, + "loss": 0.2493, + "loss/crossentropy": 1.4641490578651428, + "loss/hidden": 0.23095703125, + "loss/logits": 0.018342602998018265, + "step": 345 + }, + { + "epoch": 0.346, + "grad_norm": 1.859375, + "grad_norm_var": 0.8710731506347656, + "learning_rate": 2e-05, + "loss": 0.2466, + "loss/crossentropy": 2.1338253021240234, + "loss/hidden": 0.22509765625, + "loss/logits": 0.021518733352422714, + "step": 346 + }, + { + "epoch": 0.347, + "grad_norm": 1.2421875, + "grad_norm_var": 0.8576047261555989, + "learning_rate": 2e-05, + "loss": 0.225, + "loss/crossentropy": 2.6952072381973267, + "loss/hidden": 0.205078125, + "loss/logits": 0.019927838817238808, + "step": 347 + }, + { + "epoch": 0.348, + "grad_norm": 1.8828125, + "grad_norm_var": 0.815874989827474, + "learning_rate": 2e-05, + "loss": 0.2426, + "loss/crossentropy": 1.8981314897537231, + "loss/hidden": 0.22265625, + "loss/logits": 0.01995532214641571, + "step": 348 + }, + { + "epoch": 0.349, + "grad_norm": 1.953125, + "grad_norm_var": 0.7987363179524739, + "learning_rate": 2e-05, + "loss": 0.2394, + "loss/crossentropy": 2.5630762577056885, + "loss/hidden": 0.21826171875, + "loss/logits": 0.021146751008927822, + "step": 349 + }, + { + "epoch": 0.35, + "grad_norm": 1.234375, + "grad_norm_var": 0.8374834696451823, + "learning_rate": 2e-05, + "loss": 0.2219, + "loss/crossentropy": 1.913558542728424, + "loss/hidden": 0.20458984375, + "loss/logits": 0.017343497835099697, + "step": 350 + }, + { + "epoch": 0.351, + "grad_norm": 2.578125, + "grad_norm_var": 0.44841893513997394, + "learning_rate": 2e-05, + "loss": 0.2603, + "loss/crossentropy": 1.54945570230484, + "loss/hidden": 0.24072265625, + "loss/logits": 0.019581012427806854, + "step": 351 + }, + { + "epoch": 0.352, + "grad_norm": 1.6875, + "grad_norm_var": 0.45010579427083336, + "learning_rate": 2e-05, + "loss": 0.2255, + "loss/crossentropy": 1.4761220812797546, + "loss/hidden": 0.2099609375, + "loss/logits": 0.01557510020211339, + "step": 352 + }, + { + "epoch": 0.353, + "grad_norm": 1.625, + "grad_norm_var": 0.45400797526041664, + "learning_rate": 2e-05, + "loss": 0.2422, + "loss/crossentropy": 1.6972084641456604, + "loss/hidden": 0.2236328125, + "loss/logits": 0.018569067120552063, + "step": 353 + }, + { + "epoch": 0.354, + "grad_norm": 1.3359375, + "grad_norm_var": 0.4398752848307292, + "learning_rate": 2e-05, + "loss": 0.243, + "loss/crossentropy": 1.5384193658828735, + "loss/hidden": 0.224609375, + "loss/logits": 0.018395395018160343, + "step": 354 + }, + { + "epoch": 0.355, + "grad_norm": 1.703125, + "grad_norm_var": 0.4311358133951823, + "learning_rate": 2e-05, + "loss": 0.2595, + "loss/crossentropy": 1.7909427881240845, + "loss/hidden": 0.2373046875, + "loss/logits": 0.022242317907512188, + "step": 355 + }, + { + "epoch": 0.356, + "grad_norm": 1.421875, + "grad_norm_var": 0.13862889607747395, + "learning_rate": 2e-05, + "loss": 0.2252, + "loss/crossentropy": 2.2541953325271606, + "loss/hidden": 0.20654296875, + "loss/logits": 0.018652436323463917, + "step": 356 + }, + { + "epoch": 0.357, + "grad_norm": 1.1015625, + "grad_norm_var": 0.16027425130208334, + "learning_rate": 2e-05, + "loss": 0.2262, + "loss/crossentropy": 2.2753015756607056, + "loss/hidden": 0.20654296875, + "loss/logits": 0.019669558852910995, + "step": 357 + }, + { + "epoch": 0.358, + "grad_norm": 1.7421875, + "grad_norm_var": 0.14294408162434896, + "learning_rate": 2e-05, + "loss": 0.2585, + "loss/crossentropy": 1.8439677953720093, + "loss/hidden": 0.23974609375, + "loss/logits": 0.018735644407570362, + "step": 358 + }, + { + "epoch": 0.359, + "grad_norm": 1.1640625, + "grad_norm_var": 0.15852228800455728, + "learning_rate": 2e-05, + "loss": 0.2257, + "loss/crossentropy": 1.6270447373390198, + "loss/hidden": 0.21044921875, + "loss/logits": 0.015203338116407394, + "step": 359 + }, + { + "epoch": 0.36, + "grad_norm": 1.21875, + "grad_norm_var": 0.16902567545572916, + "learning_rate": 2e-05, + "loss": 0.2411, + "loss/crossentropy": 1.6992469429969788, + "loss/hidden": 0.22314453125, + "loss/logits": 0.017964603379368782, + "step": 360 + }, + { + "epoch": 0.361, + "grad_norm": 1.5625, + "grad_norm_var": 0.14740397135416666, + "learning_rate": 2e-05, + "loss": 0.2516, + "loss/crossentropy": 2.1820708513259888, + "loss/hidden": 0.2294921875, + "loss/logits": 0.022074894048273563, + "step": 361 + }, + { + "epoch": 0.362, + "grad_norm": 1.3359375, + "grad_norm_var": 0.14517186482747396, + "learning_rate": 2e-05, + "loss": 0.2587, + "loss/crossentropy": 1.7148206233978271, + "loss/hidden": 0.2392578125, + "loss/logits": 0.019486463628709316, + "step": 362 + }, + { + "epoch": 0.363, + "grad_norm": 1.296875, + "grad_norm_var": 0.14311930338541667, + "learning_rate": 2e-05, + "loss": 0.2428, + "loss/crossentropy": 1.8336674571037292, + "loss/hidden": 0.2236328125, + "loss/logits": 0.019144260324537754, + "step": 363 + }, + { + "epoch": 0.364, + "grad_norm": 1.140625, + "grad_norm_var": 0.14488296508789061, + "learning_rate": 2e-05, + "loss": 0.2436, + "loss/crossentropy": 2.184293031692505, + "loss/hidden": 0.22265625, + "loss/logits": 0.020982088521122932, + "step": 364 + }, + { + "epoch": 0.365, + "grad_norm": 1.484375, + "grad_norm_var": 0.13069229125976561, + "learning_rate": 2e-05, + "loss": 0.253, + "loss/crossentropy": 1.4488345384597778, + "loss/hidden": 0.23388671875, + "loss/logits": 0.01907930802553892, + "step": 365 + }, + { + "epoch": 0.366, + "grad_norm": 1.0546875, + "grad_norm_var": 0.13852437337239584, + "learning_rate": 2e-05, + "loss": 0.2372, + "loss/crossentropy": 2.027945578098297, + "loss/hidden": 0.21875, + "loss/logits": 0.01842686627060175, + "step": 366 + }, + { + "epoch": 0.367, + "grad_norm": 1.6953125, + "grad_norm_var": 0.056306711832682294, + "learning_rate": 2e-05, + "loss": 0.2299, + "loss/crossentropy": 1.4406660199165344, + "loss/hidden": 0.21337890625, + "loss/logits": 0.016529593151062727, + "step": 367 + }, + { + "epoch": 0.368, + "grad_norm": 2.4375, + "grad_norm_var": 0.11914850870768229, + "learning_rate": 2e-05, + "loss": 0.2864, + "loss/crossentropy": 1.579603135585785, + "loss/hidden": 0.2666015625, + "loss/logits": 0.019802499562501907, + "step": 368 + }, + { + "epoch": 0.369, + "grad_norm": 1.5078125, + "grad_norm_var": 0.11738993326822916, + "learning_rate": 2e-05, + "loss": 0.2232, + "loss/crossentropy": 2.0089566707611084, + "loss/hidden": 0.20556640625, + "loss/logits": 0.017678971402347088, + "step": 369 + }, + { + "epoch": 0.37, + "grad_norm": 1.9921875, + "grad_norm_var": 0.13430887858072918, + "learning_rate": 2e-05, + "loss": 0.2358, + "loss/crossentropy": 1.216122329235077, + "loss/hidden": 0.22412109375, + "loss/logits": 0.011710493825376034, + "step": 370 + }, + { + "epoch": 0.371, + "grad_norm": 1.4140625, + "grad_norm_var": 0.13136367797851561, + "learning_rate": 2e-05, + "loss": 0.2407, + "loss/crossentropy": 1.7659806609153748, + "loss/hidden": 0.22412109375, + "loss/logits": 0.016615580767393112, + "step": 371 + }, + { + "epoch": 0.372, + "grad_norm": 1.515625, + "grad_norm_var": 0.13127212524414061, + "learning_rate": 2e-05, + "loss": 0.252, + "loss/crossentropy": 2.137717843055725, + "loss/hidden": 0.2314453125, + "loss/logits": 0.020573250949382782, + "step": 372 + }, + { + "epoch": 0.373, + "grad_norm": 1.1640625, + "grad_norm_var": 0.12837092081705728, + "learning_rate": 2e-05, + "loss": 0.2294, + "loss/crossentropy": 2.1520731449127197, + "loss/hidden": 0.21044921875, + "loss/logits": 0.018917559646070004, + "step": 373 + }, + { + "epoch": 0.374, + "grad_norm": 1.140625, + "grad_norm_var": 0.13019205729166666, + "learning_rate": 2e-05, + "loss": 0.2299, + "loss/crossentropy": 2.2924171090126038, + "loss/hidden": 0.2119140625, + "loss/logits": 0.017971434630453587, + "step": 374 + }, + { + "epoch": 0.375, + "grad_norm": 1.1796875, + "grad_norm_var": 0.12962137858072917, + "learning_rate": 2e-05, + "loss": 0.2368, + "loss/crossentropy": 2.1585444808006287, + "loss/hidden": 0.216796875, + "loss/logits": 0.02000956330448389, + "step": 375 + }, + { + "epoch": 0.376, + "grad_norm": 8.25, + "grad_norm_var": 3.006208292643229, + "learning_rate": 2e-05, + "loss": 0.2451, + "loss/crossentropy": 0.7908148150891066, + "loss/hidden": 0.23583984375, + "loss/logits": 0.009249582537449896, + "step": 376 + }, + { + "epoch": 0.377, + "grad_norm": 1.3671875, + "grad_norm_var": 3.017010243733724, + "learning_rate": 2e-05, + "loss": 0.2249, + "loss/crossentropy": 1.7327390313148499, + "loss/hidden": 0.20751953125, + "loss/logits": 0.017398852854967117, + "step": 377 + }, + { + "epoch": 0.378, + "grad_norm": 1.5234375, + "grad_norm_var": 3.005767567952474, + "learning_rate": 2e-05, + "loss": 0.2485, + "loss/crossentropy": 2.0554267168045044, + "loss/hidden": 0.2275390625, + "loss/logits": 0.020936082117259502, + "step": 378 + }, + { + "epoch": 0.379, + "grad_norm": 4.25, + "grad_norm_var": 3.319152577718099, + "learning_rate": 2e-05, + "loss": 0.3606, + "loss/crossentropy": 2.4205610156059265, + "loss/hidden": 0.322265625, + "loss/logits": 0.0383535772562027, + "step": 379 + }, + { + "epoch": 0.38, + "grad_norm": 1.84375, + "grad_norm_var": 3.262939198811849, + "learning_rate": 2e-05, + "loss": 0.2521, + "loss/crossentropy": 1.477292001247406, + "loss/hidden": 0.23583984375, + "loss/logits": 0.016257247421890497, + "step": 380 + }, + { + "epoch": 0.381, + "grad_norm": 1.0546875, + "grad_norm_var": 3.3105377197265624, + "learning_rate": 2e-05, + "loss": 0.2395, + "loss/crossentropy": 2.5222301483154297, + "loss/hidden": 0.21630859375, + "loss/logits": 0.023189062252640724, + "step": 381 + }, + { + "epoch": 0.382, + "grad_norm": 1.3203125, + "grad_norm_var": 3.278389485677083, + "learning_rate": 2e-05, + "loss": 0.259, + "loss/crossentropy": 2.0298832058906555, + "loss/hidden": 0.23828125, + "loss/logits": 0.020761173218488693, + "step": 382 + }, + { + "epoch": 0.383, + "grad_norm": 2.84375, + "grad_norm_var": 3.298315175374349, + "learning_rate": 2e-05, + "loss": 0.2819, + "loss/crossentropy": 0.7599294036626816, + "loss/hidden": 0.26953125, + "loss/logits": 0.012356668477877975, + "step": 383 + }, + { + "epoch": 0.384, + "grad_norm": 1.4921875, + "grad_norm_var": 3.321117146809896, + "learning_rate": 2e-05, + "loss": 0.2588, + "loss/crossentropy": 1.9294875860214233, + "loss/hidden": 0.23583984375, + "loss/logits": 0.02299057226628065, + "step": 384 + }, + { + "epoch": 0.385, + "grad_norm": 2.375, + "grad_norm_var": 3.297771962483724, + "learning_rate": 2e-05, + "loss": 0.3085, + "loss/crossentropy": 2.11811500787735, + "loss/hidden": 0.28125, + "loss/logits": 0.027242762967944145, + "step": 385 + }, + { + "epoch": 0.386, + "grad_norm": 1.7109375, + "grad_norm_var": 3.309399159749349, + "learning_rate": 2e-05, + "loss": 0.2698, + "loss/crossentropy": 2.2003984451293945, + "loss/hidden": 0.24853515625, + "loss/logits": 0.021241911686956882, + "step": 386 + }, + { + "epoch": 0.387, + "grad_norm": 1.640625, + "grad_norm_var": 3.2902903238932293, + "learning_rate": 2e-05, + "loss": 0.2405, + "loss/crossentropy": 1.9465845227241516, + "loss/hidden": 0.220703125, + "loss/logits": 0.019845230504870415, + "step": 387 + }, + { + "epoch": 0.388, + "grad_norm": 1.8046875, + "grad_norm_var": 3.270407867431641, + "learning_rate": 2e-05, + "loss": 0.264, + "loss/crossentropy": 1.718444287776947, + "loss/hidden": 0.244140625, + "loss/logits": 0.01988315861672163, + "step": 388 + }, + { + "epoch": 0.389, + "grad_norm": 1.5, + "grad_norm_var": 3.2317291259765626, + "learning_rate": 2e-05, + "loss": 0.2673, + "loss/crossentropy": 2.229490637779236, + "loss/hidden": 0.2431640625, + "loss/logits": 0.02413833886384964, + "step": 389 + }, + { + "epoch": 0.39, + "grad_norm": 1.8828125, + "grad_norm_var": 3.1607236226399738, + "learning_rate": 2e-05, + "loss": 0.2541, + "loss/crossentropy": 1.289111077785492, + "loss/hidden": 0.24072265625, + "loss/logits": 0.013331972528249025, + "step": 390 + }, + { + "epoch": 0.391, + "grad_norm": 1.2109375, + "grad_norm_var": 3.1563148498535156, + "learning_rate": 2e-05, + "loss": 0.2772, + "loss/crossentropy": 1.5863260626792908, + "loss/hidden": 0.2568359375, + "loss/logits": 0.020383677445352077, + "step": 391 + }, + { + "epoch": 0.392, + "grad_norm": 1.390625, + "grad_norm_var": 0.6135231018066406, + "learning_rate": 2e-05, + "loss": 0.2698, + "loss/crossentropy": 1.4361680746078491, + "loss/hidden": 0.2509765625, + "loss/logits": 0.01877568569034338, + "step": 392 + }, + { + "epoch": 0.393, + "grad_norm": 1.546875, + "grad_norm_var": 0.6045562744140625, + "learning_rate": 2e-05, + "loss": 0.2426, + "loss/crossentropy": 2.1396487951278687, + "loss/hidden": 0.22265625, + "loss/logits": 0.019969161599874496, + "step": 393 + }, + { + "epoch": 0.394, + "grad_norm": 3.90625, + "grad_norm_var": 0.8598243713378906, + "learning_rate": 2e-05, + "loss": 0.3119, + "loss/crossentropy": 1.9341546297073364, + "loss/hidden": 0.2841796875, + "loss/logits": 0.02770126238465309, + "step": 394 + }, + { + "epoch": 0.395, + "grad_norm": 1.171875, + "grad_norm_var": 0.522753651936849, + "learning_rate": 2e-05, + "loss": 0.2504, + "loss/crossentropy": 2.2734580039978027, + "loss/hidden": 0.228515625, + "loss/logits": 0.02187348995357752, + "step": 395 + }, + { + "epoch": 0.396, + "grad_norm": 4.375, + "grad_norm_var": 0.940179189046224, + "learning_rate": 2e-05, + "loss": 0.2926, + "loss/crossentropy": 1.1335339732468128, + "loss/hidden": 0.279296875, + "loss/logits": 0.013279704377055168, + "step": 396 + }, + { + "epoch": 0.397, + "grad_norm": 2.171875, + "grad_norm_var": 0.8845743815104167, + "learning_rate": 2e-05, + "loss": 0.2879, + "loss/crossentropy": 1.3619316220283508, + "loss/hidden": 0.2666015625, + "loss/logits": 0.02124913316220045, + "step": 397 + }, + { + "epoch": 0.398, + "grad_norm": 2.078125, + "grad_norm_var": 0.8496192932128906, + "learning_rate": 2e-05, + "loss": 0.2811, + "loss/crossentropy": 1.98111492395401, + "loss/hidden": 0.2578125, + "loss/logits": 0.02325397450476885, + "step": 398 + }, + { + "epoch": 0.399, + "grad_norm": 1.546875, + "grad_norm_var": 0.8207435607910156, + "learning_rate": 2e-05, + "loss": 0.2818, + "loss/crossentropy": 2.389267683029175, + "loss/hidden": 0.2568359375, + "loss/logits": 0.02493403758853674, + "step": 399 + }, + { + "epoch": 0.4, + "grad_norm": 1.6484375, + "grad_norm_var": 0.811944325764974, + "learning_rate": 2e-05, + "loss": 0.2543, + "loss/crossentropy": 2.0064558386802673, + "loss/hidden": 0.232421875, + "loss/logits": 0.021828239783644676, + "step": 400 + }, + { + "epoch": 0.401, + "grad_norm": 1.859375, + "grad_norm_var": 0.8026120503743489, + "learning_rate": 2e-05, + "loss": 0.2706, + "loss/crossentropy": 1.7220072150230408, + "loss/hidden": 0.2529296875, + "loss/logits": 0.01771449577063322, + "step": 401 + }, + { + "epoch": 0.402, + "grad_norm": 77.0, + "grad_norm_var": 352.52654520670575, + "learning_rate": 2e-05, + "loss": 0.3571, + "loss/crossentropy": 2.084269881248474, + "loss/hidden": 0.3349609375, + "loss/logits": 0.022124722599983215, + "step": 402 + }, + { + "epoch": 0.403, + "grad_norm": 3.765625, + "grad_norm_var": 351.38352762858074, + "learning_rate": 2e-05, + "loss": 0.2745, + "loss/crossentropy": 1.6723448634147644, + "loss/hidden": 0.2548828125, + "loss/logits": 0.01958293654024601, + "step": 403 + }, + { + "epoch": 0.404, + "grad_norm": 2.125, + "grad_norm_var": 351.17644017537435, + "learning_rate": 2e-05, + "loss": 0.2731, + "loss/crossentropy": 1.742283046245575, + "loss/hidden": 0.25146484375, + "loss/logits": 0.021613112650811672, + "step": 404 + }, + { + "epoch": 0.405, + "grad_norm": 1.1328125, + "grad_norm_var": 351.4455078125, + "learning_rate": 2e-05, + "loss": 0.2683, + "loss/crossentropy": 2.223657548427582, + "loss/hidden": 0.2470703125, + "loss/logits": 0.02124713361263275, + "step": 405 + }, + { + "epoch": 0.406, + "grad_norm": 1.3515625, + "grad_norm_var": 351.81150309244794, + "learning_rate": 2e-05, + "loss": 0.2949, + "loss/crossentropy": 1.8797453045845032, + "loss/hidden": 0.26953125, + "loss/logits": 0.02535920962691307, + "step": 406 + }, + { + "epoch": 0.407, + "grad_norm": 1.390625, + "grad_norm_var": 351.68039321899414, + "learning_rate": 2e-05, + "loss": 0.2861, + "loss/crossentropy": 1.8714227080345154, + "loss/hidden": 0.26171875, + "loss/logits": 0.024350603111088276, + "step": 407 + }, + { + "epoch": 0.408, + "grad_norm": 1.59375, + "grad_norm_var": 351.53704198201496, + "learning_rate": 2e-05, + "loss": 0.2751, + "loss/crossentropy": 2.038064181804657, + "loss/hidden": 0.25244140625, + "loss/logits": 0.022680481895804405, + "step": 408 + }, + { + "epoch": 0.409, + "grad_norm": 2.296875, + "grad_norm_var": 351.04773534138997, + "learning_rate": 2e-05, + "loss": 0.2719, + "loss/crossentropy": 1.7517433166503906, + "loss/hidden": 0.25, + "loss/logits": 0.021894831210374832, + "step": 409 + }, + { + "epoch": 0.41, + "grad_norm": 4.0, + "grad_norm_var": 351.0116330464681, + "learning_rate": 2e-05, + "loss": 0.3178, + "loss/crossentropy": 1.0839223191142082, + "loss/hidden": 0.29833984375, + "loss/logits": 0.019504179246723652, + "step": 410 + }, + { + "epoch": 0.411, + "grad_norm": 1.3125, + "grad_norm_var": 350.9065121968587, + "learning_rate": 2e-05, + "loss": 0.2768, + "loss/crossentropy": 2.5323891639709473, + "loss/hidden": 0.2529296875, + "loss/logits": 0.023888778872787952, + "step": 411 + }, + { + "epoch": 0.412, + "grad_norm": 1.5859375, + "grad_norm_var": 352.3142079671224, + "learning_rate": 2e-05, + "loss": 0.2754, + "loss/crossentropy": 1.5777837038040161, + "loss/hidden": 0.2578125, + "loss/logits": 0.017572961747646332, + "step": 412 + }, + { + "epoch": 0.413, + "grad_norm": 1.359375, + "grad_norm_var": 352.8437082926432, + "learning_rate": 2e-05, + "loss": 0.2789, + "loss/crossentropy": 2.079995810985565, + "loss/hidden": 0.2578125, + "loss/logits": 0.02109308261424303, + "step": 413 + }, + { + "epoch": 0.414, + "grad_norm": 1.8515625, + "grad_norm_var": 352.9843584696452, + "learning_rate": 2e-05, + "loss": 0.3105, + "loss/crossentropy": 1.5966813564300537, + "loss/hidden": 0.28515625, + "loss/logits": 0.025356116704642773, + "step": 414 + }, + { + "epoch": 0.415, + "grad_norm": 1.3515625, + "grad_norm_var": 353.1186930338542, + "learning_rate": 2e-05, + "loss": 0.3049, + "loss/crossentropy": 2.1346817016601562, + "loss/hidden": 0.27734375, + "loss/logits": 0.027529660612344742, + "step": 415 + }, + { + "epoch": 0.416, + "grad_norm": 2.15625, + "grad_norm_var": 352.79944229125977, + "learning_rate": 2e-05, + "loss": 0.2757, + "loss/crossentropy": 1.3576586246490479, + "loss/hidden": 0.25634765625, + "loss/logits": 0.01940206252038479, + "step": 416 + }, + { + "epoch": 0.417, + "grad_norm": 1.421875, + "grad_norm_var": 353.089884185791, + "learning_rate": 2e-05, + "loss": 0.3062, + "loss/crossentropy": 1.5645692944526672, + "loss/hidden": 0.2822265625, + "loss/logits": 0.02394524496048689, + "step": 417 + }, + { + "epoch": 0.418, + "grad_norm": 1.7421875, + "grad_norm_var": 0.7133056640625, + "learning_rate": 2e-05, + "loss": 0.2676, + "loss/crossentropy": 2.1792179346084595, + "loss/hidden": 0.24560546875, + "loss/logits": 0.022001913748681545, + "step": 418 + }, + { + "epoch": 0.419, + "grad_norm": 2.21875, + "grad_norm_var": 0.4785552978515625, + "learning_rate": 2e-05, + "loss": 0.2776, + "loss/crossentropy": 1.8772451281547546, + "loss/hidden": 0.255859375, + "loss/logits": 0.02171818818897009, + "step": 419 + }, + { + "epoch": 0.42, + "grad_norm": 1.5, + "grad_norm_var": 0.4763580322265625, + "learning_rate": 2e-05, + "loss": 0.2993, + "loss/crossentropy": 2.191072165966034, + "loss/hidden": 0.2705078125, + "loss/logits": 0.0287649966776371, + "step": 420 + }, + { + "epoch": 0.421, + "grad_norm": 3.328125, + "grad_norm_var": 0.5920550028483073, + "learning_rate": 2e-05, + "loss": 0.2893, + "loss/crossentropy": 2.4681068658828735, + "loss/hidden": 0.2626953125, + "loss/logits": 0.02658757194876671, + "step": 421 + }, + { + "epoch": 0.422, + "grad_norm": 1.953125, + "grad_norm_var": 0.5703776041666667, + "learning_rate": 2e-05, + "loss": 0.2574, + "loss/crossentropy": 1.9942094683647156, + "loss/hidden": 0.2392578125, + "loss/logits": 0.018155298195779324, + "step": 422 + }, + { + "epoch": 0.423, + "grad_norm": 1.7109375, + "grad_norm_var": 0.5532671610514323, + "learning_rate": 2e-05, + "loss": 0.379, + "loss/crossentropy": 1.6838626861572266, + "loss/hidden": 0.3466796875, + "loss/logits": 0.0323002003133297, + "step": 423 + }, + { + "epoch": 0.424, + "grad_norm": 1.7578125, + "grad_norm_var": 0.5469065348307292, + "learning_rate": 2e-05, + "loss": 0.2931, + "loss/crossentropy": 1.897689163684845, + "loss/hidden": 0.2724609375, + "loss/logits": 0.020671049132943153, + "step": 424 + }, + { + "epoch": 0.425, + "grad_norm": 1.375, + "grad_norm_var": 0.5600504557291667, + "learning_rate": 2e-05, + "loss": 0.3171, + "loss/crossentropy": 2.0812936425209045, + "loss/hidden": 0.291015625, + "loss/logits": 0.02603732794523239, + "step": 425 + }, + { + "epoch": 0.426, + "grad_norm": 1.5546875, + "grad_norm_var": 0.2536699930826823, + "learning_rate": 2e-05, + "loss": 0.3041, + "loss/crossentropy": 1.9111879467964172, + "loss/hidden": 0.2802734375, + "loss/logits": 0.02386578731238842, + "step": 426 + }, + { + "epoch": 0.427, + "grad_norm": 1.3046875, + "grad_norm_var": 0.2541412353515625, + "learning_rate": 2e-05, + "loss": 0.3047, + "loss/crossentropy": 2.118652582168579, + "loss/hidden": 0.2763671875, + "loss/logits": 0.028314806520938873, + "step": 427 + }, + { + "epoch": 0.428, + "grad_norm": 1.28125, + "grad_norm_var": 0.2670448303222656, + "learning_rate": 2e-05, + "loss": 0.2985, + "loss/crossentropy": 2.3579596281051636, + "loss/hidden": 0.2705078125, + "loss/logits": 0.02802193909883499, + "step": 428 + }, + { + "epoch": 0.429, + "grad_norm": 2.0625, + "grad_norm_var": 0.2621009826660156, + "learning_rate": 2e-05, + "loss": 0.3687, + "loss/crossentropy": 1.604810118675232, + "loss/hidden": 0.333984375, + "loss/logits": 0.03476274199783802, + "step": 429 + }, + { + "epoch": 0.43, + "grad_norm": 2.296875, + "grad_norm_var": 0.2784088134765625, + "learning_rate": 2e-05, + "loss": 0.3199, + "loss/crossentropy": 1.8773449063301086, + "loss/hidden": 0.296875, + "loss/logits": 0.023035001009702682, + "step": 430 + }, + { + "epoch": 0.431, + "grad_norm": 2.078125, + "grad_norm_var": 0.26665420532226564, + "learning_rate": 2e-05, + "loss": 0.291, + "loss/crossentropy": 2.3691608905792236, + "loss/hidden": 0.267578125, + "loss/logits": 0.023443943820893764, + "step": 431 + }, + { + "epoch": 0.432, + "grad_norm": 1.6171875, + "grad_norm_var": 0.2634429931640625, + "learning_rate": 2e-05, + "loss": 0.2813, + "loss/crossentropy": 1.1586915850639343, + "loss/hidden": 0.26513671875, + "loss/logits": 0.01613916177302599, + "step": 432 + }, + { + "epoch": 0.433, + "grad_norm": 6.21875, + "grad_norm_var": 1.4436116536458334, + "learning_rate": 2e-05, + "loss": 0.3126, + "loss/crossentropy": 1.3897653669118881, + "loss/hidden": 0.2958984375, + "loss/logits": 0.016718640457838774, + "step": 433 + }, + { + "epoch": 0.434, + "grad_norm": 1.5234375, + "grad_norm_var": 1.4577677408854166, + "learning_rate": 2e-05, + "loss": 0.3143, + "loss/crossentropy": 1.4730547070503235, + "loss/hidden": 0.291015625, + "loss/logits": 0.023296916857361794, + "step": 434 + }, + { + "epoch": 0.435, + "grad_norm": 2.03125, + "grad_norm_var": 1.4572794596354166, + "learning_rate": 2e-05, + "loss": 0.315, + "loss/crossentropy": 1.745673418045044, + "loss/hidden": 0.2919921875, + "loss/logits": 0.02297977078706026, + "step": 435 + }, + { + "epoch": 0.436, + "grad_norm": 2.5, + "grad_norm_var": 1.43983154296875, + "learning_rate": 2e-05, + "loss": 0.2914, + "loss/crossentropy": 1.4162335693836212, + "loss/hidden": 0.275390625, + "loss/logits": 0.016047537326812744, + "step": 436 + }, + { + "epoch": 0.437, + "grad_norm": 1.4609375, + "grad_norm_var": 1.3674415588378905, + "learning_rate": 2e-05, + "loss": 0.3182, + "loss/crossentropy": 2.154849946498871, + "loss/hidden": 0.2919921875, + "loss/logits": 0.026252766139805317, + "step": 437 + }, + { + "epoch": 0.438, + "grad_norm": 2.40625, + "grad_norm_var": 1.3746986389160156, + "learning_rate": 2e-05, + "loss": 0.2885, + "loss/crossentropy": 2.0660600662231445, + "loss/hidden": 0.265625, + "loss/logits": 0.022861075587570667, + "step": 438 + }, + { + "epoch": 0.439, + "grad_norm": 7.15625, + "grad_norm_var": 2.9645100911458333, + "learning_rate": 2e-05, + "loss": 0.3, + "loss/crossentropy": 2.717895984649658, + "loss/hidden": 0.27392578125, + "loss/logits": 0.026059124618768692, + "step": 439 + }, + { + "epoch": 0.44, + "grad_norm": 13.0625, + "grad_norm_var": 9.962597401936849, + "learning_rate": 2e-05, + "loss": 0.3237, + "loss/crossentropy": 2.089266359806061, + "loss/hidden": 0.296875, + "loss/logits": 0.02680843137204647, + "step": 440 + }, + { + "epoch": 0.441, + "grad_norm": 3.46875, + "grad_norm_var": 9.749269358317058, + "learning_rate": 2e-05, + "loss": 0.3274, + "loss/crossentropy": 1.671483427286148, + "loss/hidden": 0.30859375, + "loss/logits": 0.018828653264790773, + "step": 441 + }, + { + "epoch": 0.442, + "grad_norm": 3.171875, + "grad_norm_var": 9.54685770670573, + "learning_rate": 2e-05, + "loss": 0.3257, + "loss/crossentropy": 1.40052130818367, + "loss/hidden": 0.3037109375, + "loss/logits": 0.021975211799144745, + "step": 442 + }, + { + "epoch": 0.443, + "grad_norm": 1.8671875, + "grad_norm_var": 9.41304423014323, + "learning_rate": 2e-05, + "loss": 0.3262, + "loss/crossentropy": 2.070408821105957, + "loss/hidden": 0.2958984375, + "loss/logits": 0.030301526188850403, + "step": 443 + }, + { + "epoch": 0.444, + "grad_norm": 2.515625, + "grad_norm_var": 9.161588541666667, + "learning_rate": 2e-05, + "loss": 0.3014, + "loss/crossentropy": 1.219970703125, + "loss/hidden": 0.287109375, + "loss/logits": 0.014268356142565608, + "step": 444 + }, + { + "epoch": 0.445, + "grad_norm": 2.703125, + "grad_norm_var": 9.067455037434895, + "learning_rate": 2e-05, + "loss": 0.2696, + "loss/crossentropy": 0.8407798707485199, + "loss/hidden": 0.2578125, + "loss/logits": 0.011814095778390765, + "step": 445 + }, + { + "epoch": 0.446, + "grad_norm": 3.25, + "grad_norm_var": 8.97071533203125, + "learning_rate": 2e-05, + "loss": 0.3224, + "loss/crossentropy": 0.8129114657640457, + "loss/hidden": 0.30859375, + "loss/logits": 0.013845205074176192, + "step": 446 + }, + { + "epoch": 0.447, + "grad_norm": 4.34375, + "grad_norm_var": 8.84253641764323, + "learning_rate": 2e-05, + "loss": 0.3003, + "loss/crossentropy": 1.0620581209659576, + "loss/hidden": 0.2841796875, + "loss/logits": 0.016078725922852755, + "step": 447 + }, + { + "epoch": 0.448, + "grad_norm": 2.296875, + "grad_norm_var": 8.682106272379558, + "learning_rate": 2e-05, + "loss": 0.3515, + "loss/crossentropy": 2.4432766437530518, + "loss/hidden": 0.3193359375, + "loss/logits": 0.03212443180382252, + "step": 448 + }, + { + "epoch": 0.449, + "grad_norm": 3.0, + "grad_norm_var": 8.2694943745931, + "learning_rate": 2e-05, + "loss": 0.2823, + "loss/crossentropy": 1.0543333142995834, + "loss/hidden": 0.267578125, + "loss/logits": 0.014680951833724976, + "step": 449 + }, + { + "epoch": 0.45, + "grad_norm": 1.3125, + "grad_norm_var": 8.329198201497396, + "learning_rate": 2e-05, + "loss": 0.3061, + "loss/crossentropy": 2.019322693347931, + "loss/hidden": 0.2802734375, + "loss/logits": 0.025797588750720024, + "step": 450 + }, + { + "epoch": 0.451, + "grad_norm": 1.4375, + "grad_norm_var": 8.470213826497396, + "learning_rate": 2e-05, + "loss": 0.3175, + "loss/crossentropy": 1.7490596175193787, + "loss/hidden": 0.2939453125, + "loss/logits": 0.023543373681604862, + "step": 451 + }, + { + "epoch": 0.452, + "grad_norm": 2.53125, + "grad_norm_var": 8.466120402018229, + "learning_rate": 2e-05, + "loss": 0.3217, + "loss/crossentropy": 1.759113371372223, + "loss/hidden": 0.2978515625, + "loss/logits": 0.02383426111191511, + "step": 452 + }, + { + "epoch": 0.453, + "grad_norm": 1.5859375, + "grad_norm_var": 8.433128865559896, + "learning_rate": 2e-05, + "loss": 0.3027, + "loss/crossentropy": 2.3126111030578613, + "loss/hidden": 0.2783203125, + "loss/logits": 0.024376308545470238, + "step": 453 + }, + { + "epoch": 0.454, + "grad_norm": 1.703125, + "grad_norm_var": 8.567207845052083, + "learning_rate": 2e-05, + "loss": 0.3403, + "loss/crossentropy": 1.5542563199996948, + "loss/hidden": 0.3134765625, + "loss/logits": 0.026786498725414276, + "step": 454 + }, + { + "epoch": 0.455, + "grad_norm": 1.6796875, + "grad_norm_var": 7.744832102457682, + "learning_rate": 2e-05, + "loss": 0.3387, + "loss/crossentropy": 1.7838309407234192, + "loss/hidden": 0.3134765625, + "loss/logits": 0.02520835865288973, + "step": 455 + }, + { + "epoch": 0.456, + "grad_norm": 2.046875, + "grad_norm_var": 0.7266741434733073, + "learning_rate": 2e-05, + "loss": 0.389, + "loss/crossentropy": 1.2347190976142883, + "loss/hidden": 0.3583984375, + "loss/logits": 0.030589699745178223, + "step": 456 + }, + { + "epoch": 0.457, + "grad_norm": 1.4921875, + "grad_norm_var": 0.69765625, + "learning_rate": 2e-05, + "loss": 0.3172, + "loss/crossentropy": 1.9718384146690369, + "loss/hidden": 0.2900390625, + "loss/logits": 0.02716031763702631, + "step": 457 + }, + { + "epoch": 0.458, + "grad_norm": 1.3984375, + "grad_norm_var": 0.6900937398274739, + "learning_rate": 2e-05, + "loss": 0.311, + "loss/crossentropy": 2.390895366668701, + "loss/hidden": 0.28515625, + "loss/logits": 0.02580439206212759, + "step": 458 + }, + { + "epoch": 0.459, + "grad_norm": 1.328125, + "grad_norm_var": 0.7320149739583334, + "learning_rate": 2e-05, + "loss": 0.2917, + "loss/crossentropy": 1.794322669506073, + "loss/hidden": 0.267578125, + "loss/logits": 0.02415597066283226, + "step": 459 + }, + { + "epoch": 0.46, + "grad_norm": 1.8671875, + "grad_norm_var": 0.727898915608724, + "learning_rate": 2e-05, + "loss": 0.3103, + "loss/crossentropy": 1.9104264378547668, + "loss/hidden": 0.2861328125, + "loss/logits": 0.024162941612303257, + "step": 460 + }, + { + "epoch": 0.461, + "grad_norm": 1.0625, + "grad_norm_var": 0.769341786702474, + "learning_rate": 2e-05, + "loss": 0.314, + "loss/crossentropy": 1.9037153720855713, + "loss/hidden": 0.2900390625, + "loss/logits": 0.02395364549010992, + "step": 461 + }, + { + "epoch": 0.462, + "grad_norm": 3.59375, + "grad_norm_var": 0.833056386311849, + "learning_rate": 2e-05, + "loss": 0.3334, + "loss/crossentropy": 0.9103630632162094, + "loss/hidden": 0.314453125, + "loss/logits": 0.018936143023893237, + "step": 462 + }, + { + "epoch": 0.463, + "grad_norm": 2.609375, + "grad_norm_var": 0.48889134724934896, + "learning_rate": 2e-05, + "loss": 0.4235, + "loss/crossentropy": 1.9410001635551453, + "loss/hidden": 0.384765625, + "loss/logits": 0.03869070205837488, + "step": 463 + }, + { + "epoch": 0.464, + "grad_norm": 1.234375, + "grad_norm_var": 0.5080523173014323, + "learning_rate": 2e-05, + "loss": 0.3223, + "loss/crossentropy": 2.3750853538513184, + "loss/hidden": 0.2919921875, + "loss/logits": 0.030337156727910042, + "step": 464 + }, + { + "epoch": 0.465, + "grad_norm": 1.3359375, + "grad_norm_var": 0.42988688151041665, + "learning_rate": 2e-05, + "loss": 0.3482, + "loss/crossentropy": 1.9180442690849304, + "loss/hidden": 0.322265625, + "loss/logits": 0.025961963459849358, + "step": 465 + }, + { + "epoch": 0.466, + "grad_norm": 1.6953125, + "grad_norm_var": 0.41601740519205727, + "learning_rate": 2e-05, + "loss": 0.3814, + "loss/crossentropy": 2.180357873439789, + "loss/hidden": 0.34765625, + "loss/logits": 0.03377598337829113, + "step": 466 + }, + { + "epoch": 0.467, + "grad_norm": 1.453125, + "grad_norm_var": 0.4153032938639323, + "learning_rate": 2e-05, + "loss": 0.3298, + "loss/crossentropy": 2.112913489341736, + "loss/hidden": 0.302734375, + "loss/logits": 0.027080713771283627, + "step": 467 + }, + { + "epoch": 0.468, + "grad_norm": 2.890625, + "grad_norm_var": 0.4589617411295573, + "learning_rate": 2e-05, + "loss": 0.3384, + "loss/crossentropy": 1.643601417541504, + "loss/hidden": 0.3134765625, + "loss/logits": 0.024958825670182705, + "step": 468 + }, + { + "epoch": 0.469, + "grad_norm": 6.375, + "grad_norm_var": 1.7486724853515625, + "learning_rate": 2e-05, + "loss": 0.3684, + "loss/crossentropy": 1.8053930401802063, + "loss/hidden": 0.3369140625, + "loss/logits": 0.03144758567214012, + "step": 469 + }, + { + "epoch": 0.47, + "grad_norm": 3.109375, + "grad_norm_var": 1.7959136962890625, + "learning_rate": 2e-05, + "loss": 0.3813, + "loss/crossentropy": 1.2240911722183228, + "loss/hidden": 0.359375, + "loss/logits": 0.021923545747995377, + "step": 470 + }, + { + "epoch": 0.471, + "grad_norm": 1.3046875, + "grad_norm_var": 1.8306304931640625, + "learning_rate": 2e-05, + "loss": 0.3026, + "loss/crossentropy": 2.474206805229187, + "loss/hidden": 0.2763671875, + "loss/logits": 0.02618865016847849, + "step": 471 + }, + { + "epoch": 0.472, + "grad_norm": 3.6875, + "grad_norm_var": 1.9708740234375, + "learning_rate": 2e-05, + "loss": 0.3763, + "loss/crossentropy": 1.8918054699897766, + "loss/hidden": 0.3447265625, + "loss/logits": 0.03158373944461346, + "step": 472 + }, + { + "epoch": 0.473, + "grad_norm": 5.21875, + "grad_norm_var": 2.4487037658691406, + "learning_rate": 2e-05, + "loss": 0.4363, + "loss/crossentropy": 1.8472670912742615, + "loss/hidden": 0.3857421875, + "loss/logits": 0.05057228542864323, + "step": 473 + }, + { + "epoch": 0.474, + "grad_norm": 1.453125, + "grad_norm_var": 2.44078369140625, + "learning_rate": 2e-05, + "loss": 0.3664, + "loss/crossentropy": 2.0877062678337097, + "loss/hidden": 0.3359375, + "loss/logits": 0.030460949055850506, + "step": 474 + }, + { + "epoch": 0.475, + "grad_norm": 1.859375, + "grad_norm_var": 2.3744466145833334, + "learning_rate": 2e-05, + "loss": 0.3774, + "loss/crossentropy": 1.695314645767212, + "loss/hidden": 0.34765625, + "loss/logits": 0.02971694804728031, + "step": 475 + }, + { + "epoch": 0.476, + "grad_norm": 1.375, + "grad_norm_var": 2.4341916402180988, + "learning_rate": 2e-05, + "loss": 0.314, + "loss/crossentropy": 2.7232651710510254, + "loss/hidden": 0.2861328125, + "loss/logits": 0.02784702740609646, + "step": 476 + }, + { + "epoch": 0.477, + "grad_norm": 20.375, + "grad_norm_var": 22.00192845662435, + "learning_rate": 2e-05, + "loss": 0.4724, + "loss/crossentropy": 1.8712067008018494, + "loss/hidden": 0.4365234375, + "loss/logits": 0.03585300501435995, + "step": 477 + }, + { + "epoch": 0.478, + "grad_norm": 17.125, + "grad_norm_var": 33.21189956665039, + "learning_rate": 2e-05, + "loss": 0.4076, + "loss/crossentropy": 1.0799504667520523, + "loss/hidden": 0.3857421875, + "loss/logits": 0.021893550641834736, + "step": 478 + }, + { + "epoch": 0.479, + "grad_norm": 11.3125, + "grad_norm_var": 35.67211888631185, + "learning_rate": 2e-05, + "loss": 0.3711, + "loss/crossentropy": 2.385028600692749, + "loss/hidden": 0.3408203125, + "loss/logits": 0.030241595581173897, + "step": 479 + }, + { + "epoch": 0.48, + "grad_norm": 1.546875, + "grad_norm_var": 35.516621653238936, + "learning_rate": 2e-05, + "loss": 0.3033, + "loss/crossentropy": 2.070383071899414, + "loss/hidden": 0.2783203125, + "loss/logits": 0.02501996699720621, + "step": 480 + }, + { + "epoch": 0.481, + "grad_norm": 1.78125, + "grad_norm_var": 35.30360514322917, + "learning_rate": 2e-05, + "loss": 0.342, + "loss/crossentropy": 2.150891959667206, + "loss/hidden": 0.3134765625, + "loss/logits": 0.028521432541310787, + "step": 481 + }, + { + "epoch": 0.482, + "grad_norm": 2.1875, + "grad_norm_var": 35.091365305582684, + "learning_rate": 2e-05, + "loss": 0.3651, + "loss/crossentropy": 1.959929347038269, + "loss/hidden": 0.3330078125, + "loss/logits": 0.032120613381266594, + "step": 482 + }, + { + "epoch": 0.483, + "grad_norm": 1.8671875, + "grad_norm_var": 34.89572347005208, + "learning_rate": 2e-05, + "loss": 0.4069, + "loss/crossentropy": 0.9524770379066467, + "loss/hidden": 0.3857421875, + "loss/logits": 0.02115157339721918, + "step": 483 + }, + { + "epoch": 0.484, + "grad_norm": 2.578125, + "grad_norm_var": 34.99875081380208, + "learning_rate": 2e-05, + "loss": 0.365, + "loss/crossentropy": 1.7186467051506042, + "loss/hidden": 0.3349609375, + "loss/logits": 0.030065175145864487, + "step": 484 + }, + { + "epoch": 0.485, + "grad_norm": 1.7109375, + "grad_norm_var": 35.6259396870931, + "learning_rate": 2e-05, + "loss": 0.3548, + "loss/crossentropy": 1.7490887641906738, + "loss/hidden": 0.326171875, + "loss/logits": 0.02866003941744566, + "step": 485 + }, + { + "epoch": 0.486, + "grad_norm": 1.3359375, + "grad_norm_var": 36.24727783203125, + "learning_rate": 2e-05, + "loss": 0.351, + "loss/crossentropy": 1.9811639785766602, + "loss/hidden": 0.322265625, + "loss/logits": 0.028715823777019978, + "step": 486 + }, + { + "epoch": 0.487, + "grad_norm": 1.8984375, + "grad_norm_var": 35.993001302083336, + "learning_rate": 2e-05, + "loss": 0.3115, + "loss/crossentropy": 1.5961838364601135, + "loss/hidden": 0.2890625, + "loss/logits": 0.02241756021976471, + "step": 487 + }, + { + "epoch": 0.488, + "grad_norm": 1.5234375, + "grad_norm_var": 36.615944163004556, + "learning_rate": 2e-05, + "loss": 0.3399, + "loss/crossentropy": 2.1186224818229675, + "loss/hidden": 0.3134765625, + "loss/logits": 0.026388862170279026, + "step": 488 + }, + { + "epoch": 0.489, + "grad_norm": 3.09375, + "grad_norm_var": 36.75027847290039, + "learning_rate": 2e-05, + "loss": 0.3319, + "loss/crossentropy": 2.3766279220581055, + "loss/hidden": 0.302734375, + "loss/logits": 0.029136340133845806, + "step": 489 + }, + { + "epoch": 0.49, + "grad_norm": 3.1875, + "grad_norm_var": 36.21890029907227, + "learning_rate": 2e-05, + "loss": 0.3622, + "loss/crossentropy": 2.3046228289604187, + "loss/hidden": 0.3330078125, + "loss/logits": 0.029148480854928493, + "step": 490 + }, + { + "epoch": 0.491, + "grad_norm": 1.3359375, + "grad_norm_var": 36.4323476155599, + "learning_rate": 2e-05, + "loss": 0.3253, + "loss/crossentropy": 2.0606563687324524, + "loss/hidden": 0.298828125, + "loss/logits": 0.026501288637518883, + "step": 491 + }, + { + "epoch": 0.492, + "grad_norm": 1.8984375, + "grad_norm_var": 36.22162653605143, + "learning_rate": 2e-05, + "loss": 0.3576, + "loss/crossentropy": 2.0364081263542175, + "loss/hidden": 0.3271484375, + "loss/logits": 0.030420588329434395, + "step": 492 + }, + { + "epoch": 0.493, + "grad_norm": 1.25, + "grad_norm_var": 19.040254465738933, + "learning_rate": 2e-05, + "loss": 0.3372, + "loss/crossentropy": 1.996462881565094, + "loss/hidden": 0.3095703125, + "loss/logits": 0.027610108256340027, + "step": 493 + }, + { + "epoch": 0.494, + "grad_norm": 1.3671875, + "grad_norm_var": 5.884635416666667, + "learning_rate": 2e-05, + "loss": 0.3332, + "loss/crossentropy": 2.0653313398361206, + "loss/hidden": 0.3076171875, + "loss/logits": 0.025608508847653866, + "step": 494 + }, + { + "epoch": 0.495, + "grad_norm": 11.1875, + "grad_norm_var": 5.738606770833333, + "learning_rate": 2e-05, + "loss": 0.4247, + "loss/crossentropy": 2.0056963562965393, + "loss/hidden": 0.39453125, + "loss/logits": 0.0301496759057045, + "step": 495 + }, + { + "epoch": 0.496, + "grad_norm": 1.4140625, + "grad_norm_var": 5.756310780843099, + "learning_rate": 2e-05, + "loss": 0.3424, + "loss/crossentropy": 2.031468689441681, + "loss/hidden": 0.3154296875, + "loss/logits": 0.026999052613973618, + "step": 496 + }, + { + "epoch": 0.497, + "grad_norm": 1.3359375, + "grad_norm_var": 5.809959920247396, + "learning_rate": 2e-05, + "loss": 0.3332, + "loss/crossentropy": 1.8416547179222107, + "loss/hidden": 0.3076171875, + "loss/logits": 0.025574706494808197, + "step": 497 + }, + { + "epoch": 0.498, + "grad_norm": 1.3515625, + "grad_norm_var": 5.882696278889974, + "learning_rate": 2e-05, + "loss": 0.3496, + "loss/crossentropy": 2.2838199138641357, + "loss/hidden": 0.3193359375, + "loss/logits": 0.030256418511271477, + "step": 498 + }, + { + "epoch": 0.499, + "grad_norm": 1.453125, + "grad_norm_var": 5.922606404622396, + "learning_rate": 2e-05, + "loss": 0.3806, + "loss/crossentropy": 1.759089708328247, + "loss/hidden": 0.349609375, + "loss/logits": 0.031000351533293724, + "step": 499 + }, + { + "epoch": 0.5, + "grad_norm": 1.9375, + "grad_norm_var": 5.930489095052083, + "learning_rate": 2e-05, + "loss": 0.3987, + "loss/crossentropy": 1.4412594437599182, + "loss/hidden": 0.37109375, + "loss/logits": 0.027633181773126125, + "step": 500 + } + ], + "logging_steps": 1, + "max_steps": 1000, + "num_input_tokens_seen": 0, + "num_train_epochs": 9223372036854775807, + "save_steps": 500, + "stateful_callbacks": { + "TrainerControl": { + "args": { + "should_epoch_stop": false, + "should_evaluate": true, + "should_log": false, + "should_save": true, + "should_training_stop": false + }, + "attributes": {} + } + }, + "total_flos": 3.2202930782208e+16, + "train_batch_size": 1, + "trial_name": null, + "trial_params": null +}