|
{ |
|
"best_metric": 0.7396078431372549, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-32/checkpoint-480", |
|
"epoch": 4.0, |
|
"eval_steps": 500, |
|
"global_step": 640, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 1.5651652812957764, |
|
"learning_rate": 0.0003078789246710064, |
|
"loss": 0.4451, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.6886274509803921, |
|
"eval_f1": 0.22912621359223304, |
|
"eval_loss": 0.40980812907218933, |
|
"eval_mcc": 0.18837524271387296, |
|
"eval_precision": 0.6555555555555556, |
|
"eval_recall": 0.1388235294117647, |
|
"eval_runtime": 1.8755, |
|
"eval_samples_per_second": 679.803, |
|
"eval_steps_per_second": 21.327, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 1.201909065246582, |
|
"learning_rate": 0.00026939405908713064, |
|
"loss": 0.4166, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7231372549019608, |
|
"eval_f1": 0.400679117147708, |
|
"eval_loss": 0.40082836151123047, |
|
"eval_mcc": 0.3147455869861136, |
|
"eval_precision": 0.7195121951219512, |
|
"eval_recall": 0.2776470588235294, |
|
"eval_runtime": 1.915, |
|
"eval_samples_per_second": 665.803, |
|
"eval_steps_per_second": 20.888, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 1.4556416273117065, |
|
"learning_rate": 0.00023090919350325482, |
|
"loss": 0.4092, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.7396078431372549, |
|
"eval_f1": 0.4860681114551084, |
|
"eval_loss": 0.39845094084739685, |
|
"eval_mcc": 0.36627608925493965, |
|
"eval_precision": 0.7104072398190046, |
|
"eval_recall": 0.36941176470588233, |
|
"eval_runtime": 1.8771, |
|
"eval_samples_per_second": 679.255, |
|
"eval_steps_per_second": 21.31, |
|
"step": 480 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 1.0592684745788574, |
|
"learning_rate": 0.00019242432791937903, |
|
"loss": 0.4001, |
|
"step": 640 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.7239215686274509, |
|
"eval_f1": 0.39931740614334466, |
|
"eval_loss": 0.4024423062801361, |
|
"eval_mcc": 0.3172364415108611, |
|
"eval_precision": 0.7267080745341615, |
|
"eval_recall": 0.2752941176470588, |
|
"eval_runtime": 1.9645, |
|
"eval_samples_per_second": 649.032, |
|
"eval_steps_per_second": 20.362, |
|
"step": 640 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 1440, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 9, |
|
"save_steps": 500, |
|
"total_flos": 1167021751680.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.6927304568601392, |
|
"learning_rate": 0.00034636379025488223, |
|
"num_train_epochs": 9, |
|
"temperature": 14 |
|
} |
|
} |
|
|