|
{ |
|
"best_metric": 0.7788649706457925, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-26/checkpoint-104", |
|
"epoch": 2.0, |
|
"eval_steps": 500, |
|
"global_step": 104, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 4.020422458648682, |
|
"learning_rate": 0.00036726045612177425, |
|
"loss": 0.5512, |
|
"step": 52 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7397260273972602, |
|
"eval_f1": 0.7823240589198035, |
|
"eval_loss": 0.4979219436645508, |
|
"eval_precision": 0.6722925457102672, |
|
"eval_recall": 0.9354207436399217, |
|
"eval_runtime": 28.449, |
|
"eval_samples_per_second": 35.924, |
|
"eval_steps_per_second": 1.125, |
|
"step": 52 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 2.4581830501556396, |
|
"learning_rate": 0.00029380836489741936, |
|
"loss": 0.4888, |
|
"step": 104 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7788649706457925, |
|
"eval_f1": 0.8061749571183533, |
|
"eval_loss": 0.45355936884880066, |
|
"eval_precision": 0.7175572519083969, |
|
"eval_recall": 0.9197651663405088, |
|
"eval_runtime": 28.5368, |
|
"eval_samples_per_second": 35.813, |
|
"eval_steps_per_second": 1.121, |
|
"step": 104 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 312, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 6, |
|
"save_steps": 500, |
|
"total_flos": 471390394560.0, |
|
"train_batch_size": 59, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.834805680054491, |
|
"learning_rate": 0.0004407125473461291, |
|
"num_train_epochs": 6, |
|
"per_device_train_batch_size": 59, |
|
"temperature": 21 |
|
} |
|
} |
|
|