|
{ |
|
"best_metric": 4.735376358032227, |
|
"best_model_checkpoint": "../experiments/attribute_minig_mslacerda/run-2/checkpoint-44", |
|
"epoch": 2.0, |
|
"eval_steps": 500, |
|
"global_step": 44, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.009309309309309309, |
|
"eval_f1": 0.0031890660592255125, |
|
"eval_loss": 4.765018939971924, |
|
"eval_precision": 0.002521613832853026, |
|
"eval_recall": 0.004337050805452293, |
|
"eval_runtime": 0.3702, |
|
"eval_samples_per_second": 786.144, |
|
"eval_steps_per_second": 99.956, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.015915915915915915, |
|
"eval_f1": 0.0032154340836012866, |
|
"eval_loss": 4.735376358032227, |
|
"eval_precision": 0.0025547445255474453, |
|
"eval_recall": 0.004337050805452293, |
|
"eval_runtime": 0.3639, |
|
"eval_samples_per_second": 799.64, |
|
"eval_steps_per_second": 101.672, |
|
"step": 44 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 220, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 0, |
|
"train_batch_size": 64, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 1.1543805157988705e-05, |
|
"num_train_epochs": 10, |
|
"per_device_train_batch_size": 64, |
|
"warmup_steps": 275, |
|
"weight_decay": 0.2575815946979249 |
|
} |
|
} |
|
|