|
{ |
|
"best_metric": 0.8189823874755382, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-21/checkpoint-576", |
|
"epoch": 5.0, |
|
"eval_steps": 500, |
|
"global_step": 960, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 5.036266803741455, |
|
"learning_rate": 7.741005485591573e-05, |
|
"loss": 0.556, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.786692759295499, |
|
"eval_f1": 0.8080985915492958, |
|
"eval_loss": 0.4501095712184906, |
|
"eval_mcc": 0.5882099387037968, |
|
"eval_precision": 0.7344, |
|
"eval_recall": 0.898238747553816, |
|
"eval_runtime": 67.0331, |
|
"eval_samples_per_second": 15.246, |
|
"eval_steps_per_second": 0.477, |
|
"step": 192 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 7.937936305999756, |
|
"learning_rate": 5.8057541141936786e-05, |
|
"loss": 0.4586, |
|
"step": 384 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8082191780821918, |
|
"eval_f1": 0.8161350844277674, |
|
"eval_loss": 0.42737704515457153, |
|
"eval_mcc": 0.6187363370477468, |
|
"eval_precision": 0.7837837837837838, |
|
"eval_recall": 0.8512720156555773, |
|
"eval_runtime": 66.4748, |
|
"eval_samples_per_second": 15.374, |
|
"eval_steps_per_second": 0.481, |
|
"step": 384 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 4.516488075256348, |
|
"learning_rate": 3.8705027427957864e-05, |
|
"loss": 0.4308, |
|
"step": 576 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8189823874755382, |
|
"eval_f1": 0.8291782086795938, |
|
"eval_loss": 0.4247056245803833, |
|
"eval_mcc": 0.6425594703081364, |
|
"eval_precision": 0.784965034965035, |
|
"eval_recall": 0.8786692759295499, |
|
"eval_runtime": 66.8952, |
|
"eval_samples_per_second": 15.278, |
|
"eval_steps_per_second": 0.478, |
|
"step": 576 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 4.640265941619873, |
|
"learning_rate": 1.9352513713978932e-05, |
|
"loss": 0.4242, |
|
"step": 768 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.8111545988258317, |
|
"eval_f1": 0.8214616096207216, |
|
"eval_loss": 0.42209360003471375, |
|
"eval_mcc": 0.6264991336111037, |
|
"eval_precision": 0.7789473684210526, |
|
"eval_recall": 0.8688845401174168, |
|
"eval_runtime": 67.1893, |
|
"eval_samples_per_second": 15.211, |
|
"eval_steps_per_second": 0.476, |
|
"step": 768 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 7.009722709655762, |
|
"learning_rate": 0.0, |
|
"loss": 0.419, |
|
"step": 960 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.8180039138943248, |
|
"eval_f1": 0.8342245989304813, |
|
"eval_loss": 0.42406341433525085, |
|
"eval_mcc": 0.6485475826584332, |
|
"eval_precision": 0.7659574468085106, |
|
"eval_recall": 0.9158512720156555, |
|
"eval_runtime": 66.6719, |
|
"eval_samples_per_second": 15.329, |
|
"eval_steps_per_second": 0.48, |
|
"step": 960 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 960, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 5, |
|
"save_steps": 500, |
|
"total_flos": 1178475986400.0, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.8653499588119579, |
|
"learning_rate": 9.676256856989465e-05, |
|
"num_train_epochs": 5, |
|
"per_device_train_batch_size": 16, |
|
"temperature": 45 |
|
} |
|
} |
|
|