|
{ |
|
"best_metric": 0.6060042381286621, |
|
"best_model_checkpoint": "BERT-WMM/run-3/checkpoint-534", |
|
"epoch": 4.0, |
|
"eval_steps": 500, |
|
"global_step": 1068, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7262910798122065, |
|
"eval_loss": 0.6716192960739136, |
|
"eval_runtime": 2.087, |
|
"eval_samples_per_second": 1020.621, |
|
"eval_steps_per_second": 64.208, |
|
"step": 267 |
|
}, |
|
{ |
|
"epoch": 1.87, |
|
"grad_norm": 8.963554382324219, |
|
"learning_rate": 2.063992947537006e-05, |
|
"loss": 0.5881, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7652582159624414, |
|
"eval_loss": 0.6060042381286621, |
|
"eval_runtime": 2.1035, |
|
"eval_samples_per_second": 1012.591, |
|
"eval_steps_per_second": 63.703, |
|
"step": 534 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.7680751173708921, |
|
"eval_loss": 0.7311103343963623, |
|
"eval_runtime": 1.9991, |
|
"eval_samples_per_second": 1065.459, |
|
"eval_steps_per_second": 67.029, |
|
"step": 801 |
|
}, |
|
{ |
|
"epoch": 3.75, |
|
"grad_norm": 5.572795391082764, |
|
"learning_rate": 2.470977472403458e-06, |
|
"loss": 0.2017, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.7690140845070422, |
|
"eval_loss": 0.9167852997779846, |
|
"eval_runtime": 2.1137, |
|
"eval_samples_per_second": 1007.72, |
|
"eval_steps_per_second": 63.396, |
|
"step": 1068 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 1068, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 4, |
|
"save_steps": 500, |
|
"total_flos": 697511614823352.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"learning_rate": 3.8808881478336665e-05, |
|
"num_train_epochs": 4, |
|
"per_device_train_batch_size": 32, |
|
"weight_decay": 1.7684940065509674e-05 |
|
} |
|
} |
|
|