|
{ |
|
"best_metric": 0.6044057011604309, |
|
"best_model_checkpoint": "BERT-WMM/run-7/checkpoint-533", |
|
"epoch": 3.0, |
|
"eval_steps": 500, |
|
"global_step": 1599, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.94, |
|
"grad_norm": 10.467696189880371, |
|
"learning_rate": 1.2929689145457759e-05, |
|
"loss": 0.7152, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.747887323943662, |
|
"eval_loss": 0.6044057011604309, |
|
"eval_runtime": 2.0899, |
|
"eval_samples_per_second": 1019.204, |
|
"eval_steps_per_second": 64.119, |
|
"step": 533 |
|
}, |
|
{ |
|
"epoch": 1.88, |
|
"grad_norm": 12.011512756347656, |
|
"learning_rate": 7.047210007396903e-06, |
|
"loss": 0.456, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7633802816901408, |
|
"eval_loss": 0.6140081882476807, |
|
"eval_runtime": 2.0772, |
|
"eval_samples_per_second": 1025.443, |
|
"eval_steps_per_second": 64.511, |
|
"step": 1066 |
|
}, |
|
{ |
|
"epoch": 2.81, |
|
"grad_norm": 8.719986915588379, |
|
"learning_rate": 1.1647308693360492e-06, |
|
"loss": 0.286, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.7615023474178404, |
|
"eval_loss": 0.7435628771781921, |
|
"eval_runtime": 2.9291, |
|
"eval_samples_per_second": 727.196, |
|
"eval_steps_per_second": 45.748, |
|
"step": 1599 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 1599, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"total_flos": 518314932761976.0, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 1.8812168283518612e-05 |
|
} |
|
} |
|
|