|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 17.0, |
|
"eval_steps": 500, |
|
"global_step": 5406, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.9968553459119497, |
|
"grad_norm": 0.40019768476486206, |
|
"learning_rate": 0.00016071954069252033, |
|
"loss": 0.2885, |
|
"step": 317 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.8745161290322581, |
|
"eval_loss": 0.06336037814617157, |
|
"eval_runtime": 2.6312, |
|
"eval_samples_per_second": 1178.163, |
|
"eval_steps_per_second": 24.703, |
|
"step": 318 |
|
}, |
|
{ |
|
"epoch": 1.9937106918238994, |
|
"grad_norm": 0.2962985634803772, |
|
"learning_rate": 0.00015070812501173257, |
|
"loss": 0.0531, |
|
"step": 634 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.9241935483870968, |
|
"eval_loss": 0.034031569957733154, |
|
"eval_runtime": 2.6487, |
|
"eval_samples_per_second": 1170.371, |
|
"eval_steps_per_second": 24.54, |
|
"step": 636 |
|
}, |
|
{ |
|
"epoch": 2.990566037735849, |
|
"grad_norm": 0.19826966524124146, |
|
"learning_rate": 0.0001406967093309448, |
|
"loss": 0.0314, |
|
"step": 951 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.9406451612903226, |
|
"eval_loss": 0.024853697046637535, |
|
"eval_runtime": 2.6706, |
|
"eval_samples_per_second": 1160.807, |
|
"eval_steps_per_second": 24.34, |
|
"step": 954 |
|
}, |
|
{ |
|
"epoch": 3.9874213836477987, |
|
"grad_norm": 0.11921875178813934, |
|
"learning_rate": 0.00013068529365015705, |
|
"loss": 0.0247, |
|
"step": 1268 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.944516129032258, |
|
"eval_loss": 0.02187591791152954, |
|
"eval_runtime": 2.6534, |
|
"eval_samples_per_second": 1168.295, |
|
"eval_steps_per_second": 24.497, |
|
"step": 1272 |
|
}, |
|
{ |
|
"epoch": 4.984276729559748, |
|
"grad_norm": 0.09643226116895676, |
|
"learning_rate": 0.00012067387796936926, |
|
"loss": 0.0215, |
|
"step": 1585 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.9448387096774193, |
|
"eval_loss": 0.020509159192442894, |
|
"eval_runtime": 2.6308, |
|
"eval_samples_per_second": 1178.365, |
|
"eval_steps_per_second": 24.708, |
|
"step": 1590 |
|
}, |
|
{ |
|
"epoch": 5.981132075471698, |
|
"grad_norm": 0.14147548377513885, |
|
"learning_rate": 0.0001106624622885815, |
|
"loss": 0.0197, |
|
"step": 1902 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.9441935483870968, |
|
"eval_loss": 0.02022239752113819, |
|
"eval_runtime": 2.6786, |
|
"eval_samples_per_second": 1157.315, |
|
"eval_steps_per_second": 24.266, |
|
"step": 1908 |
|
}, |
|
{ |
|
"epoch": 6.977987421383648, |
|
"grad_norm": 0.07504777610301971, |
|
"learning_rate": 0.00010065104660779374, |
|
"loss": 0.0183, |
|
"step": 2219 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.9441935483870968, |
|
"eval_loss": 0.019469449296593666, |
|
"eval_runtime": 2.6497, |
|
"eval_samples_per_second": 1169.936, |
|
"eval_steps_per_second": 24.531, |
|
"step": 2226 |
|
}, |
|
{ |
|
"epoch": 7.9748427672955975, |
|
"grad_norm": 0.07543275505304337, |
|
"learning_rate": 9.063963092700595e-05, |
|
"loss": 0.0172, |
|
"step": 2536 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.9454838709677419, |
|
"eval_loss": 0.019471565261483192, |
|
"eval_runtime": 2.6321, |
|
"eval_samples_per_second": 1177.77, |
|
"eval_steps_per_second": 24.695, |
|
"step": 2544 |
|
}, |
|
{ |
|
"epoch": 8.971698113207546, |
|
"grad_norm": 0.07022672146558762, |
|
"learning_rate": 8.062821524621819e-05, |
|
"loss": 0.0162, |
|
"step": 2853 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.9454838709677419, |
|
"eval_loss": 0.01835792325437069, |
|
"eval_runtime": 2.6569, |
|
"eval_samples_per_second": 1166.766, |
|
"eval_steps_per_second": 24.464, |
|
"step": 2862 |
|
}, |
|
{ |
|
"epoch": 9.968553459119496, |
|
"grad_norm": 0.06286010891199112, |
|
"learning_rate": 7.061679956543043e-05, |
|
"loss": 0.0154, |
|
"step": 3170 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.9467741935483871, |
|
"eval_loss": 0.017796719446778297, |
|
"eval_runtime": 2.6735, |
|
"eval_samples_per_second": 1159.509, |
|
"eval_steps_per_second": 24.312, |
|
"step": 3180 |
|
}, |
|
{ |
|
"epoch": 10.965408805031446, |
|
"grad_norm": 0.05888282507658005, |
|
"learning_rate": 6.060538388464266e-05, |
|
"loss": 0.0147, |
|
"step": 3487 |
|
}, |
|
{ |
|
"epoch": 11.0, |
|
"eval_accuracy": 0.9464516129032258, |
|
"eval_loss": 0.01736345887184143, |
|
"eval_runtime": 2.6469, |
|
"eval_samples_per_second": 1171.197, |
|
"eval_steps_per_second": 24.557, |
|
"step": 3498 |
|
}, |
|
{ |
|
"epoch": 11.962264150943396, |
|
"grad_norm": 0.05614669620990753, |
|
"learning_rate": 5.0593968203854894e-05, |
|
"loss": 0.0142, |
|
"step": 3804 |
|
}, |
|
{ |
|
"epoch": 12.0, |
|
"eval_accuracy": 0.9480645161290323, |
|
"eval_loss": 0.01718168891966343, |
|
"eval_runtime": 2.6286, |
|
"eval_samples_per_second": 1179.354, |
|
"eval_steps_per_second": 24.728, |
|
"step": 3816 |
|
}, |
|
{ |
|
"epoch": 12.959119496855346, |
|
"grad_norm": 0.05945774167776108, |
|
"learning_rate": 4.0582552523067126e-05, |
|
"loss": 0.0136, |
|
"step": 4121 |
|
}, |
|
{ |
|
"epoch": 13.0, |
|
"eval_accuracy": 0.9496774193548387, |
|
"eval_loss": 0.016656547784805298, |
|
"eval_runtime": 2.6659, |
|
"eval_samples_per_second": 1162.853, |
|
"eval_steps_per_second": 24.382, |
|
"step": 4134 |
|
}, |
|
{ |
|
"epoch": 13.955974842767295, |
|
"grad_norm": 0.0536658801138401, |
|
"learning_rate": 3.0571136842279366e-05, |
|
"loss": 0.0132, |
|
"step": 4438 |
|
}, |
|
{ |
|
"epoch": 14.0, |
|
"eval_accuracy": 0.9493548387096774, |
|
"eval_loss": 0.015961430966854095, |
|
"eval_runtime": 2.6639, |
|
"eval_samples_per_second": 1163.709, |
|
"eval_steps_per_second": 24.4, |
|
"step": 4452 |
|
}, |
|
{ |
|
"epoch": 14.952830188679245, |
|
"grad_norm": 0.052763283252716064, |
|
"learning_rate": 2.0559721161491598e-05, |
|
"loss": 0.0127, |
|
"step": 4755 |
|
}, |
|
{ |
|
"epoch": 15.0, |
|
"eval_accuracy": 0.9480645161290323, |
|
"eval_loss": 0.015751173719763756, |
|
"eval_runtime": 2.6449, |
|
"eval_samples_per_second": 1172.047, |
|
"eval_steps_per_second": 24.575, |
|
"step": 4770 |
|
}, |
|
{ |
|
"epoch": 15.949685534591195, |
|
"grad_norm": 0.05405045673251152, |
|
"learning_rate": 1.0548305480703831e-05, |
|
"loss": 0.0123, |
|
"step": 5072 |
|
}, |
|
{ |
|
"epoch": 16.0, |
|
"eval_accuracy": 0.9490322580645161, |
|
"eval_loss": 0.015423502773046494, |
|
"eval_runtime": 2.6549, |
|
"eval_samples_per_second": 1167.639, |
|
"eval_steps_per_second": 24.483, |
|
"step": 5088 |
|
}, |
|
{ |
|
"epoch": 16.946540880503143, |
|
"grad_norm": 0.054720040410757065, |
|
"learning_rate": 5.368897999160632e-07, |
|
"loss": 0.0121, |
|
"step": 5389 |
|
} |
|
], |
|
"logging_steps": 317, |
|
"max_steps": 5406, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 17, |
|
"save_steps": 1000000000.0, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 1401394002013824.0, |
|
"train_batch_size": 48, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.23184342374680478, |
|
"fp16": false, |
|
"learning_rate": 0.00016308817216273826, |
|
"lr_scheduler": "cosine", |
|
"num_train_epochs": 17, |
|
"temperature": 12, |
|
"warmup_steps": 242, |
|
"weight_decay": 0.1818121677410312 |
|
} |
|
} |
|
|