| { |
| "best_global_step": 1740, |
| "best_metric": 0.5872700637508189, |
| "best_model_checkpoint": "outputs/phobert-v2/checkpoint-1740", |
| "epoch": 10.0, |
| "eval_steps": 500, |
| "global_step": 1740, |
| "is_hyper_param_search": false, |
| "is_local_process_zero": true, |
| "is_world_process_zero": true, |
| "log_history": [ |
| { |
| "epoch": 0.9942528735632183, |
| "grad_norm": 10.429289817810059, |
| "learning_rate": 6.88e-06, |
| "loss": 1.8471, |
| "step": 173 |
| }, |
| { |
| "epoch": 1.0, |
| "eval_accuracy": 0.3746355685131195, |
| "eval_loss": 1.6570643186569214, |
| "eval_macro_f1": 0.14434482728193657, |
| "eval_runtime": 2.3848, |
| "eval_samples_per_second": 287.655, |
| "eval_steps_per_second": 9.225, |
| "step": 174 |
| }, |
| { |
| "epoch": 1.9885057471264367, |
| "grad_norm": 4.976310729980469, |
| "learning_rate": 1.38e-05, |
| "loss": 1.527, |
| "step": 346 |
| }, |
| { |
| "epoch": 2.0, |
| "eval_accuracy": 0.5568513119533528, |
| "eval_loss": 1.307194709777832, |
| "eval_macro_f1": 0.3319217550450094, |
| "eval_runtime": 2.3807, |
| "eval_samples_per_second": 288.151, |
| "eval_steps_per_second": 9.241, |
| "step": 348 |
| }, |
| { |
| "epoch": 2.9827586206896552, |
| "grad_norm": 15.020604133605957, |
| "learning_rate": 1.999994401896218e-05, |
| "loss": 1.2266, |
| "step": 519 |
| }, |
| { |
| "epoch": 3.0, |
| "eval_accuracy": 0.5991253644314869, |
| "eval_loss": 1.1421139240264893, |
| "eval_macro_f1": 0.44220855453833874, |
| "eval_runtime": 2.3441, |
| "eval_samples_per_second": 292.645, |
| "eval_steps_per_second": 9.385, |
| "step": 522 |
| }, |
| { |
| "epoch": 3.9770114942528734, |
| "grad_norm": 10.641494750976562, |
| "learning_rate": 1.9993697433304146e-05, |
| "loss": 0.9848, |
| "step": 692 |
| }, |
| { |
| "epoch": 4.0, |
| "eval_accuracy": 0.597667638483965, |
| "eval_loss": 1.1232401132583618, |
| "eval_macro_f1": 0.5090589987778544, |
| "eval_runtime": 2.3684, |
| "eval_samples_per_second": 289.65, |
| "eval_steps_per_second": 9.289, |
| "step": 696 |
| }, |
| { |
| "epoch": 4.971264367816092, |
| "grad_norm": 50.000247955322266, |
| "learning_rate": 1.9977115923137912e-05, |
| "loss": 0.7954, |
| "step": 865 |
| }, |
| { |
| "epoch": 5.0, |
| "eval_accuracy": 0.6268221574344023, |
| "eval_loss": 1.1033910512924194, |
| "eval_macro_f1": 0.5464276091084106, |
| "eval_runtime": 2.3903, |
| "eval_samples_per_second": 286.991, |
| "eval_steps_per_second": 9.204, |
| "step": 870 |
| }, |
| { |
| "epoch": 5.9655172413793105, |
| "grad_norm": 11.679581642150879, |
| "learning_rate": 1.995021663613649e-05, |
| "loss": 0.6331, |
| "step": 1038 |
| }, |
| { |
| "epoch": 6.0, |
| "eval_accuracy": 0.6282798833819242, |
| "eval_loss": 1.1012190580368042, |
| "eval_macro_f1": 0.5559355350042673, |
| "eval_runtime": 2.3747, |
| "eval_samples_per_second": 288.875, |
| "eval_steps_per_second": 9.264, |
| "step": 1044 |
| }, |
| { |
| "epoch": 6.959770114942529, |
| "grad_norm": 18.876968383789062, |
| "learning_rate": 1.991302739004225e-05, |
| "loss": 0.5026, |
| "step": 1211 |
| }, |
| { |
| "epoch": 7.0, |
| "eval_accuracy": 0.6166180758017493, |
| "eval_loss": 1.155078411102295, |
| "eval_macro_f1": 0.5442508367488053, |
| "eval_runtime": 2.3826, |
| "eval_samples_per_second": 287.918, |
| "eval_steps_per_second": 9.234, |
| "step": 1218 |
| }, |
| { |
| "epoch": 7.954022988505747, |
| "grad_norm": 26.72658920288086, |
| "learning_rate": 1.9865586643899352e-05, |
| "loss": 0.3975, |
| "step": 1384 |
| }, |
| { |
| "epoch": 8.0, |
| "eval_accuracy": 0.6282798833819242, |
| "eval_loss": 1.2925310134887695, |
| "eval_macro_f1": 0.5741099300421252, |
| "eval_runtime": 2.3814, |
| "eval_samples_per_second": 288.06, |
| "eval_steps_per_second": 9.238, |
| "step": 1392 |
| }, |
| { |
| "epoch": 8.948275862068966, |
| "grad_norm": 12.882652282714844, |
| "learning_rate": 1.9807943458281543e-05, |
| "loss": 0.3211, |
| "step": 1557 |
| }, |
| { |
| "epoch": 9.0, |
| "eval_accuracy": 0.6180758017492711, |
| "eval_loss": 1.3261842727661133, |
| "eval_macro_f1": 0.5540305128995968, |
| "eval_runtime": 2.4018, |
| "eval_samples_per_second": 285.618, |
| "eval_steps_per_second": 9.16, |
| "step": 1566 |
| }, |
| { |
| "epoch": 9.942528735632184, |
| "grad_norm": 19.935659408569336, |
| "learning_rate": 1.974015744455647e-05, |
| "loss": 0.2817, |
| "step": 1730 |
| }, |
| { |
| "epoch": 10.0, |
| "eval_accuracy": 0.641399416909621, |
| "eval_loss": 1.345000147819519, |
| "eval_macro_f1": 0.5872700637508189, |
| "eval_runtime": 2.3829, |
| "eval_samples_per_second": 287.882, |
| "eval_steps_per_second": 9.232, |
| "step": 1740 |
| } |
| ], |
| "logging_steps": 173, |
| "max_steps": 17400, |
| "num_input_tokens_seen": 0, |
| "num_train_epochs": 100, |
| "save_steps": 500, |
| "stateful_callbacks": { |
| "EarlyStoppingCallback": { |
| "args": { |
| "early_stopping_patience": 5, |
| "early_stopping_threshold": 0.0 |
| }, |
| "attributes": { |
| "early_stopping_patience_counter": 0 |
| } |
| }, |
| "TrainerControl": { |
| "args": { |
| "should_epoch_stop": false, |
| "should_evaluate": false, |
| "should_log": false, |
| "should_save": true, |
| "should_training_stop": false |
| }, |
| "attributes": {} |
| } |
| }, |
| "total_flos": 5160641128278000.0, |
| "train_batch_size": 32, |
| "trial_name": null, |
| "trial_params": null |
| } |
|
|