|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 6.944444444444445, |
|
"eval_steps": 300, |
|
"global_step": 3000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.11574074074074074, |
|
"grad_norm": 39.743831634521484, |
|
"learning_rate": 8.654497354497356e-06, |
|
"loss": 2.2644, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 0.23148148148148148, |
|
"grad_norm": 80.18631744384766, |
|
"learning_rate": 8.50899470899471e-06, |
|
"loss": 1.7544, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.3472222222222222, |
|
"grad_norm": 56.661163330078125, |
|
"learning_rate": 8.363492063492064e-06, |
|
"loss": 1.8464, |
|
"step": 150 |
|
}, |
|
{ |
|
"epoch": 0.46296296296296297, |
|
"grad_norm": 33.45421600341797, |
|
"learning_rate": 8.217989417989417e-06, |
|
"loss": 1.493, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.5787037037037037, |
|
"grad_norm": 88.00537872314453, |
|
"learning_rate": 8.072486772486773e-06, |
|
"loss": 1.6763, |
|
"step": 250 |
|
}, |
|
{ |
|
"epoch": 0.6944444444444444, |
|
"grad_norm": 31.951480865478516, |
|
"learning_rate": 7.926984126984127e-06, |
|
"loss": 1.5285, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.6944444444444444, |
|
"eval_accuracy": 0.5601851940155029, |
|
"eval_loss": 1.482226848602295, |
|
"eval_runtime": 189.0589, |
|
"eval_samples_per_second": 2.285, |
|
"eval_steps_per_second": 1.143, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.8101851851851852, |
|
"grad_norm": 27.660470962524414, |
|
"learning_rate": 7.781481481481482e-06, |
|
"loss": 1.5798, |
|
"step": 350 |
|
}, |
|
{ |
|
"epoch": 0.9259259259259259, |
|
"grad_norm": 76.16017150878906, |
|
"learning_rate": 7.635978835978836e-06, |
|
"loss": 1.4862, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 1.0416666666666667, |
|
"grad_norm": 33.353267669677734, |
|
"learning_rate": 7.490476190476191e-06, |
|
"loss": 1.332, |
|
"step": 450 |
|
}, |
|
{ |
|
"epoch": 1.1574074074074074, |
|
"grad_norm": 50.27310562133789, |
|
"learning_rate": 7.3449735449735455e-06, |
|
"loss": 1.2905, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 1.2731481481481481, |
|
"grad_norm": 29.26256561279297, |
|
"learning_rate": 7.1994708994709e-06, |
|
"loss": 1.0945, |
|
"step": 550 |
|
}, |
|
{ |
|
"epoch": 1.3888888888888888, |
|
"grad_norm": 142.0453643798828, |
|
"learning_rate": 7.053968253968255e-06, |
|
"loss": 1.4222, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 1.3888888888888888, |
|
"eval_accuracy": 0.6504629850387573, |
|
"eval_loss": 1.210780382156372, |
|
"eval_runtime": 191.2465, |
|
"eval_samples_per_second": 2.259, |
|
"eval_steps_per_second": 1.129, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 1.5046296296296298, |
|
"grad_norm": 32.452552795410156, |
|
"learning_rate": 6.908465608465609e-06, |
|
"loss": 1.0473, |
|
"step": 650 |
|
}, |
|
{ |
|
"epoch": 1.6203703703703702, |
|
"grad_norm": 9.073972702026367, |
|
"learning_rate": 6.762962962962963e-06, |
|
"loss": 1.1119, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 1.7361111111111112, |
|
"grad_norm": 81.59954833984375, |
|
"learning_rate": 6.617460317460318e-06, |
|
"loss": 1.039, |
|
"step": 750 |
|
}, |
|
{ |
|
"epoch": 1.8518518518518519, |
|
"grad_norm": 36.21083068847656, |
|
"learning_rate": 6.471957671957673e-06, |
|
"loss": 1.1544, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 1.9675925925925926, |
|
"grad_norm": 20.776355743408203, |
|
"learning_rate": 6.326455026455027e-06, |
|
"loss": 1.2092, |
|
"step": 850 |
|
}, |
|
{ |
|
"epoch": 2.0833333333333335, |
|
"grad_norm": 50.247093200683594, |
|
"learning_rate": 6.18095238095238e-06, |
|
"loss": 0.8443, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 2.0833333333333335, |
|
"eval_accuracy": 0.6805555820465088, |
|
"eval_loss": 1.0854352712631226, |
|
"eval_runtime": 192.1877, |
|
"eval_samples_per_second": 2.248, |
|
"eval_steps_per_second": 1.124, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 2.199074074074074, |
|
"grad_norm": 202.2728729248047, |
|
"learning_rate": 6.035449735449736e-06, |
|
"loss": 0.9478, |
|
"step": 950 |
|
}, |
|
{ |
|
"epoch": 2.314814814814815, |
|
"grad_norm": 44.58985900878906, |
|
"learning_rate": 5.889947089947091e-06, |
|
"loss": 0.9051, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 2.4305555555555554, |
|
"grad_norm": 18.935836791992188, |
|
"learning_rate": 5.744444444444445e-06, |
|
"loss": 0.8553, |
|
"step": 1050 |
|
}, |
|
{ |
|
"epoch": 2.5462962962962963, |
|
"grad_norm": 2.024139642715454, |
|
"learning_rate": 5.5989417989418e-06, |
|
"loss": 1.0215, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 2.662037037037037, |
|
"grad_norm": 49.676944732666016, |
|
"learning_rate": 5.453439153439153e-06, |
|
"loss": 0.793, |
|
"step": 1150 |
|
}, |
|
{ |
|
"epoch": 2.7777777777777777, |
|
"grad_norm": 40.503150939941406, |
|
"learning_rate": 5.307936507936508e-06, |
|
"loss": 0.8355, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 2.7777777777777777, |
|
"eval_accuracy": 0.7129629850387573, |
|
"eval_loss": 1.0518003702163696, |
|
"eval_runtime": 192.7676, |
|
"eval_samples_per_second": 2.241, |
|
"eval_steps_per_second": 1.121, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 2.8935185185185186, |
|
"grad_norm": 26.035078048706055, |
|
"learning_rate": 5.162433862433862e-06, |
|
"loss": 0.8288, |
|
"step": 1250 |
|
}, |
|
{ |
|
"epoch": 3.009259259259259, |
|
"grad_norm": 168.5670928955078, |
|
"learning_rate": 5.016931216931217e-06, |
|
"loss": 0.7811, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 3.125, |
|
"grad_norm": 19.110559463500977, |
|
"learning_rate": 4.871428571428572e-06, |
|
"loss": 0.6065, |
|
"step": 1350 |
|
}, |
|
{ |
|
"epoch": 3.240740740740741, |
|
"grad_norm": 4.887545585632324, |
|
"learning_rate": 4.725925925925926e-06, |
|
"loss": 0.6886, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 3.3564814814814814, |
|
"grad_norm": 28.545923233032227, |
|
"learning_rate": 4.58042328042328e-06, |
|
"loss": 0.6935, |
|
"step": 1450 |
|
}, |
|
{ |
|
"epoch": 3.4722222222222223, |
|
"grad_norm": 41.39081954956055, |
|
"learning_rate": 4.434920634920635e-06, |
|
"loss": 0.6307, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 3.4722222222222223, |
|
"eval_accuracy": 0.7060185074806213, |
|
"eval_loss": 1.0891976356506348, |
|
"eval_runtime": 184.4145, |
|
"eval_samples_per_second": 2.343, |
|
"eval_steps_per_second": 1.171, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 3.587962962962963, |
|
"grad_norm": 15.346806526184082, |
|
"learning_rate": 4.2894179894179895e-06, |
|
"loss": 0.6561, |
|
"step": 1550 |
|
}, |
|
{ |
|
"epoch": 3.7037037037037037, |
|
"grad_norm": 12.401691436767578, |
|
"learning_rate": 4.143915343915344e-06, |
|
"loss": 0.7564, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 3.8194444444444446, |
|
"grad_norm": 0.9189475774765015, |
|
"learning_rate": 3.998412698412699e-06, |
|
"loss": 0.7843, |
|
"step": 1650 |
|
}, |
|
{ |
|
"epoch": 3.935185185185185, |
|
"grad_norm": 2.660712242126465, |
|
"learning_rate": 3.8529100529100535e-06, |
|
"loss": 0.6449, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 4.050925925925926, |
|
"grad_norm": 2.3331284523010254, |
|
"learning_rate": 3.7074074074074073e-06, |
|
"loss": 0.5658, |
|
"step": 1750 |
|
}, |
|
{ |
|
"epoch": 4.166666666666667, |
|
"grad_norm": 88.60041046142578, |
|
"learning_rate": 3.561904761904762e-06, |
|
"loss": 0.5227, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 4.166666666666667, |
|
"eval_accuracy": 0.7407407164573669, |
|
"eval_loss": 0.9819123148918152, |
|
"eval_runtime": 191.5065, |
|
"eval_samples_per_second": 2.256, |
|
"eval_steps_per_second": 1.128, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 4.282407407407407, |
|
"grad_norm": 43.31499481201172, |
|
"learning_rate": 3.4164021164021167e-06, |
|
"loss": 0.4657, |
|
"step": 1850 |
|
}, |
|
{ |
|
"epoch": 4.398148148148148, |
|
"grad_norm": 4.856300354003906, |
|
"learning_rate": 3.270899470899471e-06, |
|
"loss": 0.5274, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 4.513888888888889, |
|
"grad_norm": 21.986839294433594, |
|
"learning_rate": 3.1253968253968256e-06, |
|
"loss": 0.3385, |
|
"step": 1950 |
|
}, |
|
{ |
|
"epoch": 4.62962962962963, |
|
"grad_norm": 3.5640218257904053, |
|
"learning_rate": 2.97989417989418e-06, |
|
"loss": 0.5006, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 4.74537037037037, |
|
"grad_norm": 35.41746520996094, |
|
"learning_rate": 2.8343915343915345e-06, |
|
"loss": 0.3829, |
|
"step": 2050 |
|
}, |
|
{ |
|
"epoch": 4.861111111111111, |
|
"grad_norm": 110.1950912475586, |
|
"learning_rate": 2.6888888888888892e-06, |
|
"loss": 0.4838, |
|
"step": 2100 |
|
}, |
|
{ |
|
"epoch": 4.861111111111111, |
|
"eval_accuracy": 0.7453703880310059, |
|
"eval_loss": 1.0233818292617798, |
|
"eval_runtime": 187.5989, |
|
"eval_samples_per_second": 2.303, |
|
"eval_steps_per_second": 1.151, |
|
"step": 2100 |
|
}, |
|
{ |
|
"epoch": 4.976851851851852, |
|
"grad_norm": 9.007341384887695, |
|
"learning_rate": 2.5433862433862435e-06, |
|
"loss": 0.5366, |
|
"step": 2150 |
|
}, |
|
{ |
|
"epoch": 5.092592592592593, |
|
"grad_norm": 23.511497497558594, |
|
"learning_rate": 2.397883597883598e-06, |
|
"loss": 0.4084, |
|
"step": 2200 |
|
}, |
|
{ |
|
"epoch": 5.208333333333333, |
|
"grad_norm": 46.781288146972656, |
|
"learning_rate": 2.2523809523809524e-06, |
|
"loss": 0.3158, |
|
"step": 2250 |
|
}, |
|
{ |
|
"epoch": 5.324074074074074, |
|
"grad_norm": 11.613898277282715, |
|
"learning_rate": 2.106878306878307e-06, |
|
"loss": 0.3805, |
|
"step": 2300 |
|
}, |
|
{ |
|
"epoch": 5.439814814814815, |
|
"grad_norm": 108.98674011230469, |
|
"learning_rate": 1.9613756613756613e-06, |
|
"loss": 0.3677, |
|
"step": 2350 |
|
}, |
|
{ |
|
"epoch": 5.555555555555555, |
|
"grad_norm": 67.47931671142578, |
|
"learning_rate": 1.8158730158730158e-06, |
|
"loss": 0.4089, |
|
"step": 2400 |
|
}, |
|
{ |
|
"epoch": 5.555555555555555, |
|
"eval_accuracy": 0.7708333134651184, |
|
"eval_loss": 0.9597391486167908, |
|
"eval_runtime": 193.0387, |
|
"eval_samples_per_second": 2.238, |
|
"eval_steps_per_second": 1.119, |
|
"step": 2400 |
|
}, |
|
{ |
|
"epoch": 5.671296296296296, |
|
"grad_norm": 47.788421630859375, |
|
"learning_rate": 1.6703703703703705e-06, |
|
"loss": 0.3808, |
|
"step": 2450 |
|
}, |
|
{ |
|
"epoch": 5.787037037037037, |
|
"grad_norm": 9.64560317993164, |
|
"learning_rate": 1.524867724867725e-06, |
|
"loss": 0.2779, |
|
"step": 2500 |
|
}, |
|
{ |
|
"epoch": 5.902777777777778, |
|
"grad_norm": 59.49520492553711, |
|
"learning_rate": 1.3793650793650794e-06, |
|
"loss": 0.3443, |
|
"step": 2550 |
|
}, |
|
{ |
|
"epoch": 6.018518518518518, |
|
"grad_norm": 20.228626251220703, |
|
"learning_rate": 1.2338624338624339e-06, |
|
"loss": 0.3234, |
|
"step": 2600 |
|
}, |
|
{ |
|
"epoch": 6.1342592592592595, |
|
"grad_norm": 27.677474975585938, |
|
"learning_rate": 1.0883597883597883e-06, |
|
"loss": 0.2092, |
|
"step": 2650 |
|
}, |
|
{ |
|
"epoch": 6.25, |
|
"grad_norm": 1.7405154705047607, |
|
"learning_rate": 9.428571428571429e-07, |
|
"loss": 0.3254, |
|
"step": 2700 |
|
}, |
|
{ |
|
"epoch": 6.25, |
|
"eval_accuracy": 0.7708333134651184, |
|
"eval_loss": 0.9336540102958679, |
|
"eval_runtime": 193.4468, |
|
"eval_samples_per_second": 2.233, |
|
"eval_steps_per_second": 1.117, |
|
"step": 2700 |
|
}, |
|
{ |
|
"epoch": 6.3657407407407405, |
|
"grad_norm": 9.925797462463379, |
|
"learning_rate": 7.973544973544975e-07, |
|
"loss": 0.2506, |
|
"step": 2750 |
|
}, |
|
{ |
|
"epoch": 6.481481481481482, |
|
"grad_norm": 0.22488392889499664, |
|
"learning_rate": 6.518518518518518e-07, |
|
"loss": 0.2574, |
|
"step": 2800 |
|
}, |
|
{ |
|
"epoch": 6.597222222222222, |
|
"grad_norm": 52.721458435058594, |
|
"learning_rate": 5.063492063492064e-07, |
|
"loss": 0.1824, |
|
"step": 2850 |
|
}, |
|
{ |
|
"epoch": 6.712962962962963, |
|
"grad_norm": 42.07158660888672, |
|
"learning_rate": 3.6084656084656085e-07, |
|
"loss": 0.3214, |
|
"step": 2900 |
|
}, |
|
{ |
|
"epoch": 6.828703703703704, |
|
"grad_norm": 18.518312454223633, |
|
"learning_rate": 2.1534391534391534e-07, |
|
"loss": 0.2811, |
|
"step": 2950 |
|
}, |
|
{ |
|
"epoch": 6.944444444444445, |
|
"grad_norm": 0.2595561742782593, |
|
"learning_rate": 6.984126984126985e-08, |
|
"loss": 0.2413, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 6.944444444444445, |
|
"eval_accuracy": 0.7800925970077515, |
|
"eval_loss": 0.9138823747634888, |
|
"eval_runtime": 193.0312, |
|
"eval_samples_per_second": 2.238, |
|
"eval_steps_per_second": 1.119, |
|
"step": 3000 |
|
} |
|
], |
|
"logging_steps": 50, |
|
"max_steps": 3024, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 7, |
|
"save_steps": 600, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 3.28237560576e+18, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|