| { | |
| "best_global_step": null, | |
| "best_metric": null, | |
| "best_model_checkpoint": null, | |
| "epoch": 1.0, | |
| "eval_steps": 10, | |
| "global_step": 625, | |
| "is_hyper_param_search": false, | |
| "is_local_process_zero": true, | |
| "is_world_process_zero": true, | |
| "log_history": [ | |
| { | |
| "epoch": 0.008, | |
| "grad_norm": 15.360989570617676, | |
| "learning_rate": 8.000000000000001e-06, | |
| "loss": 5.9088, | |
| "step": 5 | |
| }, | |
| { | |
| "epoch": 0.016, | |
| "grad_norm": 7.644533634185791, | |
| "learning_rate": 1.8e-05, | |
| "loss": 4.5305, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.016, | |
| "eval_loss": 4.309304714202881, | |
| "eval_runtime": 110.5075, | |
| "eval_samples_per_second": 4.525, | |
| "eval_steps_per_second": 4.525, | |
| "step": 10 | |
| }, | |
| { | |
| "epoch": 0.024, | |
| "grad_norm": 13.015691757202148, | |
| "learning_rate": 1.999791251006346e-05, | |
| "loss": 4.2406, | |
| "step": 15 | |
| }, | |
| { | |
| "epoch": 0.032, | |
| "grad_norm": 5.692902088165283, | |
| "learning_rate": 1.9991650911776697e-05, | |
| "loss": 4.0798, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.032, | |
| "eval_loss": 4.059751033782959, | |
| "eval_runtime": 112.8939, | |
| "eval_samples_per_second": 4.429, | |
| "eval_steps_per_second": 4.429, | |
| "step": 20 | |
| }, | |
| { | |
| "epoch": 0.04, | |
| "grad_norm": 5.954951763153076, | |
| "learning_rate": 1.9977958222476374e-05, | |
| "loss": 4.0475, | |
| "step": 25 | |
| }, | |
| { | |
| "epoch": 0.048, | |
| "grad_norm": 5.692638874053955, | |
| "learning_rate": 1.9957756633258264e-05, | |
| "loss": 3.9848, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.048, | |
| "eval_loss": 3.947784900665283, | |
| "eval_runtime": 110.4433, | |
| "eval_samples_per_second": 4.527, | |
| "eval_steps_per_second": 4.527, | |
| "step": 30 | |
| }, | |
| { | |
| "epoch": 0.056, | |
| "grad_norm": 6.3086256980896, | |
| "learning_rate": 1.9931059322181396e-05, | |
| "loss": 3.9191, | |
| "step": 35 | |
| }, | |
| { | |
| "epoch": 0.064, | |
| "grad_norm": 4.923604965209961, | |
| "learning_rate": 1.9897883704644982e-05, | |
| "loss": 3.9104, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.064, | |
| "eval_loss": 3.9222826957702637, | |
| "eval_runtime": 112.332, | |
| "eval_samples_per_second": 4.451, | |
| "eval_steps_per_second": 4.451, | |
| "step": 40 | |
| }, | |
| { | |
| "epoch": 0.072, | |
| "grad_norm": 5.413952350616455, | |
| "learning_rate": 1.9858251422027903e-05, | |
| "loss": 3.8996, | |
| "step": 45 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "grad_norm": 5.031176567077637, | |
| "learning_rate": 1.98121883275714e-05, | |
| "loss": 3.8933, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.08, | |
| "eval_loss": 3.8840794563293457, | |
| "eval_runtime": 111.9613, | |
| "eval_samples_per_second": 4.466, | |
| "eval_steps_per_second": 4.466, | |
| "step": 50 | |
| }, | |
| { | |
| "epoch": 0.088, | |
| "grad_norm": 5.418991565704346, | |
| "learning_rate": 1.9759724469514302e-05, | |
| "loss": 3.8838, | |
| "step": 55 | |
| }, | |
| { | |
| "epoch": 0.096, | |
| "grad_norm": 5.6602864265441895, | |
| "learning_rate": 1.9700894071491736e-05, | |
| "loss": 3.8928, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.096, | |
| "eval_loss": 3.859248638153076, | |
| "eval_runtime": 111.6304, | |
| "eval_samples_per_second": 4.479, | |
| "eval_steps_per_second": 4.479, | |
| "step": 60 | |
| }, | |
| { | |
| "epoch": 0.104, | |
| "grad_norm": 4.850898265838623, | |
| "learning_rate": 1.9635735510210053e-05, | |
| "loss": 3.8717, | |
| "step": 65 | |
| }, | |
| { | |
| "epoch": 0.112, | |
| "grad_norm": 4.956837177276611, | |
| "learning_rate": 1.956429129041269e-05, | |
| "loss": 3.8501, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.112, | |
| "eval_loss": 3.862858533859253, | |
| "eval_runtime": 111.0424, | |
| "eval_samples_per_second": 4.503, | |
| "eval_steps_per_second": 4.503, | |
| "step": 70 | |
| }, | |
| { | |
| "epoch": 0.12, | |
| "grad_norm": 5.260834693908691, | |
| "learning_rate": 1.94866080171531e-05, | |
| "loss": 3.8313, | |
| "step": 75 | |
| }, | |
| { | |
| "epoch": 0.128, | |
| "grad_norm": 5.144981384277344, | |
| "learning_rate": 1.940273636539301e-05, | |
| "loss": 3.8422, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.128, | |
| "eval_loss": 3.8454525470733643, | |
| "eval_runtime": 112.0635, | |
| "eval_samples_per_second": 4.462, | |
| "eval_steps_per_second": 4.462, | |
| "step": 80 | |
| }, | |
| { | |
| "epoch": 0.136, | |
| "grad_norm": 5.56984806060791, | |
| "learning_rate": 1.9312731046945694e-05, | |
| "loss": 3.836, | |
| "step": 85 | |
| }, | |
| { | |
| "epoch": 0.144, | |
| "grad_norm": 4.828178882598877, | |
| "learning_rate": 1.9216650774785975e-05, | |
| "loss": 3.8071, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.144, | |
| "eval_loss": 3.831526041030884, | |
| "eval_runtime": 111.1507, | |
| "eval_samples_per_second": 4.498, | |
| "eval_steps_per_second": 4.498, | |
| "step": 90 | |
| }, | |
| { | |
| "epoch": 0.152, | |
| "grad_norm": 5.023971080780029, | |
| "learning_rate": 1.911455822475009e-05, | |
| "loss": 3.8, | |
| "step": 95 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "grad_norm": 4.5282793045043945, | |
| "learning_rate": 1.9006519994650516e-05, | |
| "loss": 3.7826, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.16, | |
| "eval_loss": 3.8195042610168457, | |
| "eval_runtime": 109.8545, | |
| "eval_samples_per_second": 4.551, | |
| "eval_steps_per_second": 4.551, | |
| "step": 100 | |
| }, | |
| { | |
| "epoch": 0.168, | |
| "grad_norm": 5.027553081512451, | |
| "learning_rate": 1.8892606560832335e-05, | |
| "loss": 3.7953, | |
| "step": 105 | |
| }, | |
| { | |
| "epoch": 0.176, | |
| "grad_norm": 4.897686004638672, | |
| "learning_rate": 1.8772892232199594e-05, | |
| "loss": 3.8194, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.176, | |
| "eval_loss": 3.784461498260498, | |
| "eval_runtime": 112.129, | |
| "eval_samples_per_second": 4.459, | |
| "eval_steps_per_second": 4.459, | |
| "step": 110 | |
| }, | |
| { | |
| "epoch": 0.184, | |
| "grad_norm": 4.60252046585083, | |
| "learning_rate": 1.8647455101741492e-05, | |
| "loss": 3.774, | |
| "step": 115 | |
| }, | |
| { | |
| "epoch": 0.192, | |
| "grad_norm": 4.88078498840332, | |
| "learning_rate": 1.8516376995590185e-05, | |
| "loss": 3.7932, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.192, | |
| "eval_loss": 3.8124334812164307, | |
| "eval_runtime": 111.9015, | |
| "eval_samples_per_second": 4.468, | |
| "eval_steps_per_second": 4.468, | |
| "step": 120 | |
| }, | |
| { | |
| "epoch": 0.2, | |
| "grad_norm": 5.119283676147461, | |
| "learning_rate": 1.837974341964331e-05, | |
| "loss": 3.7665, | |
| "step": 125 | |
| }, | |
| { | |
| "epoch": 0.208, | |
| "grad_norm": 4.381007671356201, | |
| "learning_rate": 1.8237643503786097e-05, | |
| "loss": 3.7776, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.208, | |
| "eval_loss": 3.7836484909057617, | |
| "eval_runtime": 111.6098, | |
| "eval_samples_per_second": 4.48, | |
| "eval_steps_per_second": 4.48, | |
| "step": 130 | |
| }, | |
| { | |
| "epoch": 0.216, | |
| "grad_norm": 4.681989669799805, | |
| "learning_rate": 1.8090169943749477e-05, | |
| "loss": 3.7758, | |
| "step": 135 | |
| }, | |
| { | |
| "epoch": 0.224, | |
| "grad_norm": 4.945594310760498, | |
| "learning_rate": 1.7937418940642076e-05, | |
| "loss": 3.7704, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.224, | |
| "eval_loss": 3.781540632247925, | |
| "eval_runtime": 111.7063, | |
| "eval_samples_per_second": 4.476, | |
| "eval_steps_per_second": 4.476, | |
| "step": 140 | |
| }, | |
| { | |
| "epoch": 0.232, | |
| "grad_norm": 4.896081924438477, | |
| "learning_rate": 1.7779490138195544e-05, | |
| "loss": 3.7896, | |
| "step": 145 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "grad_norm": 4.702622890472412, | |
| "learning_rate": 1.7616486557764187e-05, | |
| "loss": 3.7802, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.24, | |
| "eval_loss": 3.7781624794006348, | |
| "eval_runtime": 112.1095, | |
| "eval_samples_per_second": 4.46, | |
| "eval_steps_per_second": 4.46, | |
| "step": 150 | |
| }, | |
| { | |
| "epoch": 0.248, | |
| "grad_norm": 4.960013389587402, | |
| "learning_rate": 1.7448514531121265e-05, | |
| "loss": 3.7478, | |
| "step": 155 | |
| }, | |
| { | |
| "epoch": 0.256, | |
| "grad_norm": 4.85302734375, | |
| "learning_rate": 1.72756836310958e-05, | |
| "loss": 3.7776, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.256, | |
| "eval_loss": 3.767767906188965, | |
| "eval_runtime": 111.5609, | |
| "eval_samples_per_second": 4.482, | |
| "eval_steps_per_second": 4.482, | |
| "step": 160 | |
| }, | |
| { | |
| "epoch": 0.264, | |
| "grad_norm": 4.286273002624512, | |
| "learning_rate": 1.7098106600095204e-05, | |
| "loss": 3.7231, | |
| "step": 165 | |
| }, | |
| { | |
| "epoch": 0.272, | |
| "grad_norm": 5.215882778167725, | |
| "learning_rate": 1.6952705502317577e-05, | |
| "loss": 3.777, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.272, | |
| "eval_loss": 3.758565902709961, | |
| "eval_runtime": 112.4381, | |
| "eval_samples_per_second": 4.447, | |
| "eval_steps_per_second": 4.447, | |
| "step": 170 | |
| }, | |
| { | |
| "epoch": 0.28, | |
| "grad_norm": 4.810149669647217, | |
| "learning_rate": 1.6766879380776983e-05, | |
| "loss": 3.7346, | |
| "step": 175 | |
| }, | |
| { | |
| "epoch": 0.288, | |
| "grad_norm": 4.446249961853027, | |
| "learning_rate": 1.6576639035437975e-05, | |
| "loss": 3.7554, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.288, | |
| "eval_loss": 3.7531182765960693, | |
| "eval_runtime": 111.8589, | |
| "eval_samples_per_second": 4.47, | |
| "eval_steps_per_second": 4.47, | |
| "step": 180 | |
| }, | |
| { | |
| "epoch": 0.296, | |
| "grad_norm": 4.627930164337158, | |
| "learning_rate": 1.6382108565373783e-05, | |
| "loss": 3.7298, | |
| "step": 185 | |
| }, | |
| { | |
| "epoch": 0.304, | |
| "grad_norm": 4.859839916229248, | |
| "learning_rate": 1.6183414868225434e-05, | |
| "loss": 3.7494, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.304, | |
| "eval_loss": 3.754574775695801, | |
| "eval_runtime": 111.1646, | |
| "eval_samples_per_second": 4.498, | |
| "eval_steps_per_second": 4.498, | |
| "step": 190 | |
| }, | |
| { | |
| "epoch": 0.312, | |
| "grad_norm": 4.594749927520752, | |
| "learning_rate": 1.5980687557422854e-05, | |
| "loss": 3.7233, | |
| "step": 195 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "grad_norm": 4.1947479248046875, | |
| "learning_rate": 1.5774058877634473e-05, | |
| "loss": 3.7535, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.32, | |
| "eval_loss": 3.740143299102783, | |
| "eval_runtime": 110.7913, | |
| "eval_samples_per_second": 4.513, | |
| "eval_steps_per_second": 4.513, | |
| "step": 200 | |
| }, | |
| { | |
| "epoch": 0.328, | |
| "grad_norm": 5.630258560180664, | |
| "learning_rate": 1.55636636185003e-05, | |
| "loss": 3.7192, | |
| "step": 205 | |
| }, | |
| { | |
| "epoch": 0.336, | |
| "grad_norm": 5.389300346374512, | |
| "learning_rate": 1.5349639026704916e-05, | |
| "loss": 3.7408, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.336, | |
| "eval_loss": 3.7239396572113037, | |
| "eval_runtime": 113.2108, | |
| "eval_samples_per_second": 4.417, | |
| "eval_steps_per_second": 4.417, | |
| "step": 210 | |
| }, | |
| { | |
| "epoch": 0.344, | |
| "grad_norm": 4.697848796844482, | |
| "learning_rate": 1.5132124716447627e-05, | |
| "loss": 3.7209, | |
| "step": 215 | |
| }, | |
| { | |
| "epoch": 0.352, | |
| "grad_norm": 4.92866325378418, | |
| "learning_rate": 1.4911262578368233e-05, | |
| "loss": 3.7015, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.352, | |
| "eval_loss": 3.724281072616577, | |
| "eval_runtime": 112.1344, | |
| "eval_samples_per_second": 4.459, | |
| "eval_steps_per_second": 4.459, | |
| "step": 220 | |
| }, | |
| { | |
| "epoch": 0.36, | |
| "grad_norm": 5.7383036613464355, | |
| "learning_rate": 1.4687196686987832e-05, | |
| "loss": 3.7033, | |
| "step": 225 | |
| }, | |
| { | |
| "epoch": 0.368, | |
| "grad_norm": 5.267530918121338, | |
| "learning_rate": 1.4460073206724984e-05, | |
| "loss": 3.7526, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.368, | |
| "eval_loss": 3.7359769344329834, | |
| "eval_runtime": 111.4037, | |
| "eval_samples_per_second": 4.488, | |
| "eval_steps_per_second": 4.488, | |
| "step": 230 | |
| }, | |
| { | |
| "epoch": 0.376, | |
| "grad_norm": 4.392041206359863, | |
| "learning_rate": 1.4230040296548588e-05, | |
| "loss": 3.7569, | |
| "step": 235 | |
| }, | |
| { | |
| "epoch": 0.384, | |
| "grad_norm": 4.574108600616455, | |
| "learning_rate": 1.3997248013329681e-05, | |
| "loss": 3.7129, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.384, | |
| "eval_loss": 3.7244505882263184, | |
| "eval_runtime": 111.6979, | |
| "eval_samples_per_second": 4.476, | |
| "eval_steps_per_second": 4.476, | |
| "step": 240 | |
| }, | |
| { | |
| "epoch": 0.392, | |
| "grad_norm": 4.590445041656494, | |
| "learning_rate": 1.3761848213955136e-05, | |
| "loss": 3.6811, | |
| "step": 245 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "grad_norm": 4.465660095214844, | |
| "learning_rate": 1.352399445626722e-05, | |
| "loss": 3.7496, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.4, | |
| "eval_loss": 3.721489191055298, | |
| "eval_runtime": 112.1994, | |
| "eval_samples_per_second": 4.456, | |
| "eval_steps_per_second": 4.456, | |
| "step": 250 | |
| }, | |
| { | |
| "epoch": 0.408, | |
| "grad_norm": 4.747437953948975, | |
| "learning_rate": 1.328384189889351e-05, | |
| "loss": 3.7119, | |
| "step": 255 | |
| }, | |
| { | |
| "epoch": 0.416, | |
| "grad_norm": 5.685433387756348, | |
| "learning_rate": 1.3041547200032618e-05, | |
| "loss": 3.6913, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.416, | |
| "eval_loss": 3.7043662071228027, | |
| "eval_runtime": 111.183, | |
| "eval_samples_per_second": 4.497, | |
| "eval_steps_per_second": 4.497, | |
| "step": 260 | |
| }, | |
| { | |
| "epoch": 0.424, | |
| "grad_norm": 4.718033313751221, | |
| "learning_rate": 1.2797268415261681e-05, | |
| "loss": 3.6865, | |
| "step": 265 | |
| }, | |
| { | |
| "epoch": 0.432, | |
| "grad_norm": 4.735610485076904, | |
| "learning_rate": 1.2551164894432305e-05, | |
| "loss": 3.6844, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.432, | |
| "eval_loss": 3.7100021839141846, | |
| "eval_runtime": 111.4098, | |
| "eval_samples_per_second": 4.488, | |
| "eval_steps_per_second": 4.488, | |
| "step": 270 | |
| }, | |
| { | |
| "epoch": 0.44, | |
| "grad_norm": 4.772237777709961, | |
| "learning_rate": 1.2303397177722234e-05, | |
| "loss": 3.6997, | |
| "step": 275 | |
| }, | |
| { | |
| "epoch": 0.448, | |
| "grad_norm": 5.533233642578125, | |
| "learning_rate": 1.2054126890910499e-05, | |
| "loss": 3.7172, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.448, | |
| "eval_loss": 3.7194995880126953, | |
| "eval_runtime": 112.4891, | |
| "eval_samples_per_second": 4.445, | |
| "eval_steps_per_second": 4.445, | |
| "step": 280 | |
| }, | |
| { | |
| "epoch": 0.456, | |
| "grad_norm": 4.787185192108154, | |
| "learning_rate": 1.1803516639944452e-05, | |
| "loss": 3.7097, | |
| "step": 285 | |
| }, | |
| { | |
| "epoch": 0.464, | |
| "grad_norm": 4.525595664978027, | |
| "learning_rate": 1.1551729904867353e-05, | |
| "loss": 3.739, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.464, | |
| "eval_loss": 3.70326828956604, | |
| "eval_runtime": 111.8761, | |
| "eval_samples_per_second": 4.469, | |
| "eval_steps_per_second": 4.469, | |
| "step": 290 | |
| }, | |
| { | |
| "epoch": 0.472, | |
| "grad_norm": 4.284120082855225, | |
| "learning_rate": 1.1298930933175805e-05, | |
| "loss": 3.684, | |
| "step": 295 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "grad_norm": 5.107572555541992, | |
| "learning_rate": 1.1045284632676535e-05, | |
| "loss": 3.6814, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.48, | |
| "eval_loss": 3.701869249343872, | |
| "eval_runtime": 110.8874, | |
| "eval_samples_per_second": 4.509, | |
| "eval_steps_per_second": 4.509, | |
| "step": 300 | |
| }, | |
| { | |
| "epoch": 0.488, | |
| "grad_norm": 4.888582706451416, | |
| "learning_rate": 1.0790956463912439e-05, | |
| "loss": 3.6695, | |
| "step": 305 | |
| }, | |
| { | |
| "epoch": 0.496, | |
| "grad_norm": 5.606681823730469, | |
| "learning_rate": 1.0536112332228057e-05, | |
| "loss": 3.6809, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.496, | |
| "eval_loss": 3.6872060298919678, | |
| "eval_runtime": 112.8373, | |
| "eval_samples_per_second": 4.431, | |
| "eval_steps_per_second": 4.431, | |
| "step": 310 | |
| }, | |
| { | |
| "epoch": 0.504, | |
| "grad_norm": 4.867734909057617, | |
| "learning_rate": 1.0280918479544914e-05, | |
| "loss": 3.707, | |
| "step": 315 | |
| }, | |
| { | |
| "epoch": 0.512, | |
| "grad_norm": 7.736087322235107, | |
| "learning_rate": 1.0025541375917274e-05, | |
| "loss": 3.7031, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.512, | |
| "eval_loss": 3.6830782890319824, | |
| "eval_runtime": 110.3497, | |
| "eval_samples_per_second": 4.531, | |
| "eval_steps_per_second": 4.531, | |
| "step": 320 | |
| }, | |
| { | |
| "epoch": 0.52, | |
| "grad_norm": 4.444705486297607, | |
| "learning_rate": 9.770147610939098e-06, | |
| "loss": 3.7152, | |
| "step": 325 | |
| }, | |
| { | |
| "epoch": 0.528, | |
| "grad_norm": 15.434615135192871, | |
| "learning_rate": 9.514903785072998e-06, | |
| "loss": 3.7322, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.528, | |
| "eval_loss": 3.698810577392578, | |
| "eval_runtime": 111.3388, | |
| "eval_samples_per_second": 4.491, | |
| "eval_steps_per_second": 4.491, | |
| "step": 330 | |
| }, | |
| { | |
| "epoch": 0.536, | |
| "grad_norm": 5.347226142883301, | |
| "learning_rate": 9.259976400972147e-06, | |
| "loss": 3.6663, | |
| "step": 335 | |
| }, | |
| { | |
| "epoch": 0.544, | |
| "grad_norm": 4.670411109924316, | |
| "learning_rate": 9.005531754865929e-06, | |
| "loss": 3.6813, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.544, | |
| "eval_loss": 3.7001984119415283, | |
| "eval_runtime": 113.107, | |
| "eval_samples_per_second": 4.421, | |
| "eval_steps_per_second": 4.421, | |
| "step": 340 | |
| }, | |
| { | |
| "epoch": 0.552, | |
| "grad_norm": 5.2611589431762695, | |
| "learning_rate": 8.751735828080308e-06, | |
| "loss": 3.6737, | |
| "step": 345 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "grad_norm": 4.978248596191406, | |
| "learning_rate": 8.498754178763564e-06, | |
| "loss": 3.6661, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.56, | |
| "eval_loss": 3.6846611499786377, | |
| "eval_runtime": 111.743, | |
| "eval_samples_per_second": 4.475, | |
| "eval_steps_per_second": 4.475, | |
| "step": 350 | |
| }, | |
| { | |
| "epoch": 0.568, | |
| "grad_norm": 5.137356758117676, | |
| "learning_rate": 8.246751833888122e-06, | |
| "loss": 3.6944, | |
| "step": 355 | |
| }, | |
| { | |
| "epoch": 0.576, | |
| "grad_norm": 5.919885635375977, | |
| "learning_rate": 7.995893181598866e-06, | |
| "loss": 3.7133, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.576, | |
| "eval_loss": 3.682840585708618, | |
| "eval_runtime": 110.2256, | |
| "eval_samples_per_second": 4.536, | |
| "eval_steps_per_second": 4.536, | |
| "step": 360 | |
| }, | |
| { | |
| "epoch": 0.584, | |
| "grad_norm": 4.792472839355469, | |
| "learning_rate": 7.746341863978151e-06, | |
| "loss": 3.6581, | |
| "step": 365 | |
| }, | |
| { | |
| "epoch": 0.592, | |
| "grad_norm": 4.619278430938721, | |
| "learning_rate": 7.4982606702975505e-06, | |
| "loss": 3.7072, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 0.592, | |
| "eval_loss": 3.6833138465881348, | |
| "eval_runtime": 112.4846, | |
| "eval_samples_per_second": 4.445, | |
| "eval_steps_per_second": 4.445, | |
| "step": 370 | |
| }, | |
| { | |
| "epoch": 0.6, | |
| "grad_norm": 5.981200218200684, | |
| "learning_rate": 7.251811430825846e-06, | |
| "loss": 3.6818, | |
| "step": 375 | |
| }, | |
| { | |
| "epoch": 0.608, | |
| "grad_norm": 5.758677005767822, | |
| "learning_rate": 7.007154911262678e-06, | |
| "loss": 3.665, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.608, | |
| "eval_loss": 3.6854116916656494, | |
| "eval_runtime": 112.1801, | |
| "eval_samples_per_second": 4.457, | |
| "eval_steps_per_second": 4.457, | |
| "step": 380 | |
| }, | |
| { | |
| "epoch": 0.616, | |
| "grad_norm": 4.582080841064453, | |
| "learning_rate": 6.764450707866577e-06, | |
| "loss": 3.667, | |
| "step": 385 | |
| }, | |
| { | |
| "epoch": 0.624, | |
| "grad_norm": 5.349440574645996, | |
| "learning_rate": 6.523857143345884e-06, | |
| "loss": 3.6779, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 0.624, | |
| "eval_loss": 3.67708158493042, | |
| "eval_runtime": 111.3211, | |
| "eval_samples_per_second": 4.492, | |
| "eval_steps_per_second": 4.492, | |
| "step": 390 | |
| }, | |
| { | |
| "epoch": 0.632, | |
| "grad_norm": 4.663772106170654, | |
| "learning_rate": 6.2855311635804495e-06, | |
| "loss": 3.6561, | |
| "step": 395 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "grad_norm": 9.236244201660156, | |
| "learning_rate": 6.049628235241459e-06, | |
| "loss": 3.6556, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.64, | |
| "eval_loss": 3.6733860969543457, | |
| "eval_runtime": 111.5456, | |
| "eval_samples_per_second": 4.482, | |
| "eval_steps_per_second": 4.482, | |
| "step": 400 | |
| }, | |
| { | |
| "epoch": 0.648, | |
| "grad_norm": 5.29210090637207, | |
| "learning_rate": 5.816302244376206e-06, | |
| "loss": 3.6791, | |
| "step": 405 | |
| }, | |
| { | |
| "epoch": 0.656, | |
| "grad_norm": 4.581356048583984, | |
| "learning_rate": 5.585705396023931e-06, | |
| "loss": 3.6803, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 0.656, | |
| "eval_loss": 3.67871356010437, | |
| "eval_runtime": 110.9923, | |
| "eval_samples_per_second": 4.505, | |
| "eval_steps_per_second": 4.505, | |
| "step": 410 | |
| }, | |
| { | |
| "epoch": 0.664, | |
| "grad_norm": 5.390838623046875, | |
| "learning_rate": 5.357988114928221e-06, | |
| "loss": 3.6861, | |
| "step": 415 | |
| }, | |
| { | |
| "epoch": 0.672, | |
| "grad_norm": 4.902568340301514, | |
| "learning_rate": 5.133298947410812e-06, | |
| "loss": 3.6451, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 0.672, | |
| "eval_loss": 3.666407585144043, | |
| "eval_runtime": 112.3761, | |
| "eval_samples_per_second": 4.449, | |
| "eval_steps_per_second": 4.449, | |
| "step": 420 | |
| }, | |
| { | |
| "epoch": 0.68, | |
| "grad_norm": 4.62513542175293, | |
| "learning_rate": 4.911784464470624e-06, | |
| "loss": 3.69, | |
| "step": 425 | |
| }, | |
| { | |
| "epoch": 0.688, | |
| "grad_norm": 4.63794469833374, | |
| "learning_rate": 4.693589166171466e-06, | |
| "loss": 3.6554, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 0.688, | |
| "eval_loss": 3.6700761318206787, | |
| "eval_runtime": 110.8149, | |
| "eval_samples_per_second": 4.512, | |
| "eval_steps_per_second": 4.512, | |
| "step": 430 | |
| }, | |
| { | |
| "epoch": 0.696, | |
| "grad_norm": 5.994736671447754, | |
| "learning_rate": 4.4788553873806054e-06, | |
| "loss": 3.6735, | |
| "step": 435 | |
| }, | |
| { | |
| "epoch": 0.704, | |
| "grad_norm": 4.715162754058838, | |
| "learning_rate": 4.267723204919764e-06, | |
| "loss": 3.6115, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 0.704, | |
| "eval_loss": 3.660256862640381, | |
| "eval_runtime": 112.647, | |
| "eval_samples_per_second": 4.439, | |
| "eval_steps_per_second": 4.439, | |
| "step": 440 | |
| }, | |
| { | |
| "epoch": 0.712, | |
| "grad_norm": 8.556255340576172, | |
| "learning_rate": 4.060330346189125e-06, | |
| "loss": 3.6289, | |
| "step": 445 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "grad_norm": 4.761578559875488, | |
| "learning_rate": 3.8568120993238936e-06, | |
| "loss": 3.6678, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.72, | |
| "eval_loss": 3.67647385597229, | |
| "eval_runtime": 110.1504, | |
| "eval_samples_per_second": 4.539, | |
| "eval_steps_per_second": 4.539, | |
| "step": 450 | |
| }, | |
| { | |
| "epoch": 0.728, | |
| "grad_norm": 4.757038593292236, | |
| "learning_rate": 3.657301224942098e-06, | |
| "loss": 3.7008, | |
| "step": 455 | |
| }, | |
| { | |
| "epoch": 0.736, | |
| "grad_norm": 4.461075305938721, | |
| "learning_rate": 3.4619278695411495e-06, | |
| "loss": 3.651, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 0.736, | |
| "eval_loss": 3.6577467918395996, | |
| "eval_runtime": 110.5987, | |
| "eval_samples_per_second": 4.521, | |
| "eval_steps_per_second": 4.521, | |
| "step": 460 | |
| }, | |
| { | |
| "epoch": 0.744, | |
| "grad_norm": 3.8970530033111572, | |
| "learning_rate": 3.2708194805996252e-06, | |
| "loss": 3.6794, | |
| "step": 465 | |
| }, | |
| { | |
| "epoch": 0.752, | |
| "grad_norm": 4.632080554962158, | |
| "learning_rate": 3.0841007234397655e-06, | |
| "loss": 3.6475, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 0.752, | |
| "eval_loss": 3.661729574203491, | |
| "eval_runtime": 112.6803, | |
| "eval_samples_per_second": 4.437, | |
| "eval_steps_per_second": 4.437, | |
| "step": 470 | |
| }, | |
| { | |
| "epoch": 0.76, | |
| "grad_norm": 5.098201751708984, | |
| "learning_rate": 2.901893399904797e-06, | |
| "loss": 3.6647, | |
| "step": 475 | |
| }, | |
| { | |
| "epoch": 0.768, | |
| "grad_norm": 4.249239921569824, | |
| "learning_rate": 2.724316368904201e-06, | |
| "loss": 3.694, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 0.768, | |
| "eval_loss": 3.652348041534424, | |
| "eval_runtime": 111.7392, | |
| "eval_samples_per_second": 4.475, | |
| "eval_steps_per_second": 4.475, | |
| "step": 480 | |
| }, | |
| { | |
| "epoch": 0.776, | |
| "grad_norm": 4.952099800109863, | |
| "learning_rate": 2.5514854688787406e-06, | |
| "loss": 3.6771, | |
| "step": 485 | |
| }, | |
| { | |
| "epoch": 0.784, | |
| "grad_norm": 4.995110034942627, | |
| "learning_rate": 2.383513442235812e-06, | |
| "loss": 3.6666, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 0.784, | |
| "eval_loss": 3.653099298477173, | |
| "eval_runtime": 111.5607, | |
| "eval_samples_per_second": 4.482, | |
| "eval_steps_per_second": 4.482, | |
| "step": 490 | |
| }, | |
| { | |
| "epoch": 0.792, | |
| "grad_norm": 5.493462085723877, | |
| "learning_rate": 2.2205098618044584e-06, | |
| "loss": 3.6716, | |
| "step": 495 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "grad_norm": 4.578746795654297, | |
| "learning_rate": 2.0625810593579286e-06, | |
| "loss": 3.64, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.8, | |
| "eval_loss": 3.6576831340789795, | |
| "eval_runtime": 109.6662, | |
| "eval_samples_per_second": 4.559, | |
| "eval_steps_per_second": 4.559, | |
| "step": 500 | |
| }, | |
| { | |
| "epoch": 0.808, | |
| "grad_norm": 4.769631385803223, | |
| "learning_rate": 1.9098300562505266e-06, | |
| "loss": 3.6298, | |
| "step": 505 | |
| }, | |
| { | |
| "epoch": 0.816, | |
| "grad_norm": 5.270910263061523, | |
| "learning_rate": 1.7623564962139061e-06, | |
| "loss": 3.6375, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 0.816, | |
| "eval_loss": 3.658618211746216, | |
| "eval_runtime": 112.7334, | |
| "eval_samples_per_second": 4.435, | |
| "eval_steps_per_second": 4.435, | |
| "step": 510 | |
| }, | |
| { | |
| "epoch": 0.824, | |
| "grad_norm": 4.440089225769043, | |
| "learning_rate": 1.6202565803566917e-06, | |
| "loss": 3.6672, | |
| "step": 515 | |
| }, | |
| { | |
| "epoch": 0.832, | |
| "grad_norm": 4.2689337730407715, | |
| "learning_rate": 1.4836230044098164e-06, | |
| "loss": 3.6544, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 0.832, | |
| "eval_loss": 3.6577441692352295, | |
| "eval_runtime": 111.1537, | |
| "eval_samples_per_second": 4.498, | |
| "eval_steps_per_second": 4.498, | |
| "step": 520 | |
| }, | |
| { | |
| "epoch": 0.84, | |
| "grad_norm": 7.282012939453125, | |
| "learning_rate": 1.352544898258511e-06, | |
| "loss": 3.6416, | |
| "step": 525 | |
| }, | |
| { | |
| "epoch": 0.848, | |
| "grad_norm": 5.834847927093506, | |
| "learning_rate": 1.2271077678004084e-06, | |
| "loss": 3.653, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 0.848, | |
| "eval_loss": 3.6557505130767822, | |
| "eval_runtime": 111.4698, | |
| "eval_samples_per_second": 4.486, | |
| "eval_steps_per_second": 4.486, | |
| "step": 530 | |
| }, | |
| { | |
| "epoch": 0.856, | |
| "grad_norm": 4.881261825561523, | |
| "learning_rate": 1.1073934391676666e-06, | |
| "loss": 3.6859, | |
| "step": 535 | |
| }, | |
| { | |
| "epoch": 0.864, | |
| "grad_norm": 4.997443675994873, | |
| "learning_rate": 9.934800053494886e-07, | |
| "loss": 3.6678, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 0.864, | |
| "eval_loss": 3.6547605991363525, | |
| "eval_runtime": 112.6768, | |
| "eval_samples_per_second": 4.437, | |
| "eval_steps_per_second": 4.437, | |
| "step": 540 | |
| }, | |
| { | |
| "epoch": 0.872, | |
| "grad_norm": 5.601071834564209, | |
| "learning_rate": 8.854417752499112e-07, | |
| "loss": 3.6535, | |
| "step": 545 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "grad_norm": 5.277810573577881, | |
| "learning_rate": 7.833492252140284e-07, | |
| "loss": 3.6455, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 0.88, | |
| "eval_loss": 3.6565444469451904, | |
| "eval_runtime": 111.5954, | |
| "eval_samples_per_second": 4.48, | |
| "eval_steps_per_second": 4.48, | |
| "step": 550 | |
| }, | |
| { | |
| "epoch": 0.888, | |
| "grad_norm": 4.55835485458374, | |
| "learning_rate": 6.872689530543087e-07, | |
| "loss": 3.6681, | |
| "step": 555 | |
| }, | |
| { | |
| "epoch": 0.896, | |
| "grad_norm": 4.985684871673584, | |
| "learning_rate": 5.972636346069949e-07, | |
| "loss": 3.6437, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 0.896, | |
| "eval_loss": 3.656482696533203, | |
| "eval_runtime": 111.9622, | |
| "eval_samples_per_second": 4.466, | |
| "eval_steps_per_second": 4.466, | |
| "step": 560 | |
| }, | |
| { | |
| "epoch": 0.904, | |
| "grad_norm": 5.561159133911133, | |
| "learning_rate": 5.133919828468992e-07, | |
| "loss": 3.6635, | |
| "step": 565 | |
| }, | |
| { | |
| "epoch": 0.912, | |
| "grad_norm": 5.3784003257751465, | |
| "learning_rate": 4.357087095873136e-07, | |
| "loss": 3.6519, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 0.912, | |
| "eval_loss": 3.656426429748535, | |
| "eval_runtime": 110.8291, | |
| "eval_samples_per_second": 4.511, | |
| "eval_steps_per_second": 4.511, | |
| "step": 570 | |
| }, | |
| { | |
| "epoch": 0.92, | |
| "grad_norm": 5.003520965576172, | |
| "learning_rate": 3.6426448978995054e-07, | |
| "loss": 3.6271, | |
| "step": 575 | |
| }, | |
| { | |
| "epoch": 0.928, | |
| "grad_norm": 4.7706403732299805, | |
| "learning_rate": 2.9910592850826983e-07, | |
| "loss": 3.7089, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 0.928, | |
| "eval_loss": 3.6552963256835938, | |
| "eval_runtime": 111.738, | |
| "eval_samples_per_second": 4.475, | |
| "eval_steps_per_second": 4.475, | |
| "step": 580 | |
| }, | |
| { | |
| "epoch": 0.936, | |
| "grad_norm": 5.243898391723633, | |
| "learning_rate": 2.402755304856974e-07, | |
| "loss": 3.6502, | |
| "step": 585 | |
| }, | |
| { | |
| "epoch": 0.944, | |
| "grad_norm": 5.9423298835754395, | |
| "learning_rate": 1.8781167242860276e-07, | |
| "loss": 3.6603, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 0.944, | |
| "eval_loss": 3.656373977661133, | |
| "eval_runtime": 110.7007, | |
| "eval_samples_per_second": 4.517, | |
| "eval_steps_per_second": 4.517, | |
| "step": 590 | |
| }, | |
| { | |
| "epoch": 0.952, | |
| "grad_norm": 4.393427848815918, | |
| "learning_rate": 1.4174857797209951e-07, | |
| "loss": 3.6765, | |
| "step": 595 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "grad_norm": 4.435468673706055, | |
| "learning_rate": 1.0211629535501811e-07, | |
| "loss": 3.6715, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.96, | |
| "eval_loss": 3.6557369232177734, | |
| "eval_runtime": 111.0884, | |
| "eval_samples_per_second": 4.501, | |
| "eval_steps_per_second": 4.501, | |
| "step": 600 | |
| }, | |
| { | |
| "epoch": 0.968, | |
| "grad_norm": 4.849489212036133, | |
| "learning_rate": 6.894067781860636e-08, | |
| "loss": 3.6554, | |
| "step": 605 | |
| }, | |
| { | |
| "epoch": 0.976, | |
| "grad_norm": 6.290756702423096, | |
| "learning_rate": 4.2243366741735457e-08, | |
| "loss": 3.6473, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 0.976, | |
| "eval_loss": 3.6551318168640137, | |
| "eval_runtime": 111.5978, | |
| "eval_samples_per_second": 4.48, | |
| "eval_steps_per_second": 4.48, | |
| "step": 610 | |
| }, | |
| { | |
| "epoch": 0.984, | |
| "grad_norm": 5.660240650177002, | |
| "learning_rate": 2.2041777523627018e-08, | |
| "loss": 3.6221, | |
| "step": 615 | |
| }, | |
| { | |
| "epoch": 0.992, | |
| "grad_norm": 5.215294361114502, | |
| "learning_rate": 8.349088223306157e-09, | |
| "loss": 3.6463, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 0.992, | |
| "eval_loss": 3.655787944793701, | |
| "eval_runtime": 111.9272, | |
| "eval_samples_per_second": 4.467, | |
| "eval_steps_per_second": 4.467, | |
| "step": 620 | |
| }, | |
| { | |
| "epoch": 1.0, | |
| "grad_norm": 5.055933475494385, | |
| "learning_rate": 1.1742309631845861e-09, | |
| "loss": 3.6125, | |
| "step": 625 | |
| } | |
| ], | |
| "logging_steps": 5, | |
| "max_steps": 625, | |
| "num_input_tokens_seen": 0, | |
| "num_train_epochs": 1, | |
| "save_steps": 50, | |
| "stateful_callbacks": { | |
| "TrainerControl": { | |
| "args": { | |
| "should_epoch_stop": false, | |
| "should_evaluate": false, | |
| "should_log": false, | |
| "should_save": true, | |
| "should_training_stop": true | |
| }, | |
| "attributes": {} | |
| } | |
| }, | |
| "total_flos": 6.8614575095808e+17, | |
| "train_batch_size": 1, | |
| "trial_name": null, | |
| "trial_params": null | |
| } | |