|
{ |
|
"best_metric": 0.598778486251831, |
|
"best_model_checkpoint": "BERT-WMM/run-6/checkpoint-268", |
|
"epoch": 4.0, |
|
"eval_steps": 500, |
|
"global_step": 536, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7352112676056338, |
|
"eval_loss": 0.6478816270828247, |
|
"eval_runtime": 2.0455, |
|
"eval_samples_per_second": 1041.294, |
|
"eval_steps_per_second": 65.509, |
|
"step": 134 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7568075117370892, |
|
"eval_loss": 0.598778486251831, |
|
"eval_runtime": 2.5526, |
|
"eval_samples_per_second": 834.457, |
|
"eval_steps_per_second": 52.496, |
|
"step": 268 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.7582159624413145, |
|
"eval_loss": 0.6211540102958679, |
|
"eval_runtime": 2.1567, |
|
"eval_samples_per_second": 987.64, |
|
"eval_steps_per_second": 62.133, |
|
"step": 402 |
|
}, |
|
{ |
|
"epoch": 3.73, |
|
"grad_norm": 9.620325088500977, |
|
"learning_rate": 1.3117656765629316e-06, |
|
"loss": 0.5199, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.7633802816901408, |
|
"eval_loss": 0.6602327227592468, |
|
"eval_runtime": 2.0894, |
|
"eval_samples_per_second": 1019.414, |
|
"eval_steps_per_second": 64.132, |
|
"step": 536 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 536, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 4, |
|
"save_steps": 500, |
|
"total_flos": 732330975627216.0, |
|
"train_batch_size": 64, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 1.9530733406603648e-05, |
|
"num_train_epochs": 4, |
|
"per_device_train_batch_size": 64, |
|
"weight_decay": 0.01257257791736148 |
|
} |
|
} |
|
|