|
{ |
|
"best_metric": 0.8602739726027397, |
|
"best_model_checkpoint": "distilhubert-finetuned-mixed-data/checkpoint-160", |
|
"epoch": 8.0, |
|
"eval_steps": 500, |
|
"global_step": 183, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.9617486338797814, |
|
"eval_accuracy": 0.4876712328767123, |
|
"eval_f1": 0.32440734699411816, |
|
"eval_loss": 1.1426137685775757, |
|
"eval_precision": 0.31998188610890976, |
|
"eval_recall": 0.4876712328767123, |
|
"eval_runtime": 1.5868, |
|
"eval_samples_per_second": 230.024, |
|
"eval_steps_per_second": 28.989, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 1.9672131147540983, |
|
"eval_accuracy": 0.6876712328767123, |
|
"eval_f1": 0.6726372384593322, |
|
"eval_loss": 0.8035227060317993, |
|
"eval_precision": 0.6780882232356064, |
|
"eval_recall": 0.6876712328767123, |
|
"eval_runtime": 1.5591, |
|
"eval_samples_per_second": 234.103, |
|
"eval_steps_per_second": 29.503, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 2.972677595628415, |
|
"eval_accuracy": 0.736986301369863, |
|
"eval_f1": 0.7179122961593137, |
|
"eval_loss": 0.5865945219993591, |
|
"eval_precision": 0.7266763525667637, |
|
"eval_recall": 0.736986301369863, |
|
"eval_runtime": 1.5049, |
|
"eval_samples_per_second": 242.544, |
|
"eval_steps_per_second": 30.567, |
|
"step": 68 |
|
}, |
|
{ |
|
"epoch": 3.978142076502732, |
|
"eval_accuracy": 0.7945205479452054, |
|
"eval_f1": 0.7852674207057345, |
|
"eval_loss": 0.5180361270904541, |
|
"eval_precision": 0.7921658130880418, |
|
"eval_recall": 0.7945205479452054, |
|
"eval_runtime": 1.524, |
|
"eval_samples_per_second": 239.5, |
|
"eval_steps_per_second": 30.184, |
|
"step": 91 |
|
}, |
|
{ |
|
"epoch": 4.983606557377049, |
|
"eval_accuracy": 0.7232876712328767, |
|
"eval_f1": 0.7299958784843185, |
|
"eval_loss": 0.6972417831420898, |
|
"eval_precision": 0.7954469760289924, |
|
"eval_recall": 0.7232876712328767, |
|
"eval_runtime": 1.5556, |
|
"eval_samples_per_second": 234.639, |
|
"eval_steps_per_second": 29.571, |
|
"step": 114 |
|
}, |
|
{ |
|
"epoch": 5.989071038251366, |
|
"eval_accuracy": 0.8054794520547945, |
|
"eval_f1": 0.7958302021593314, |
|
"eval_loss": 0.5580042004585266, |
|
"eval_precision": 0.8052187633545131, |
|
"eval_recall": 0.8054794520547945, |
|
"eval_runtime": 1.5685, |
|
"eval_samples_per_second": 232.706, |
|
"eval_steps_per_second": 29.327, |
|
"step": 137 |
|
}, |
|
{ |
|
"epoch": 6.994535519125683, |
|
"eval_accuracy": 0.8602739726027397, |
|
"eval_f1": 0.858393361953483, |
|
"eval_loss": 0.3853427767753601, |
|
"eval_precision": 0.8584473878727092, |
|
"eval_recall": 0.8602739726027397, |
|
"eval_runtime": 1.5792, |
|
"eval_samples_per_second": 231.123, |
|
"eval_steps_per_second": 29.128, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.8301369863013699, |
|
"eval_f1": 0.8318234814039167, |
|
"eval_loss": 0.40903881192207336, |
|
"eval_precision": 0.8414951955847754, |
|
"eval_recall": 0.8301369863013699, |
|
"eval_runtime": 1.487, |
|
"eval_samples_per_second": 245.46, |
|
"eval_steps_per_second": 30.935, |
|
"step": 183 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 220, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"EarlyStoppingCallback": { |
|
"args": { |
|
"early_stopping_patience": 3, |
|
"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": 2.654477240832e+16, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|