|
{ |
|
"best_metric": 0.9015122140364482, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-14/checkpoint-4515", |
|
"epoch": 7.0, |
|
"eval_steps": 500, |
|
"global_step": 4515, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 1.9803465604782104, |
|
"learning_rate": 0.00027230837357094026, |
|
"loss": 0.327, |
|
"step": 645 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.8887165568049632, |
|
"eval_f1": 0.19154929577464788, |
|
"eval_loss": 0.3063199520111084, |
|
"eval_mcc": 0.1990419339488759, |
|
"eval_precision": 0.48226950354609927, |
|
"eval_recall": 0.1195079086115993, |
|
"eval_runtime": 9.9261, |
|
"eval_samples_per_second": 519.642, |
|
"eval_steps_per_second": 16.321, |
|
"step": 645 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 1.0405207872390747, |
|
"learning_rate": 0.00023340717734652024, |
|
"loss": 0.3025, |
|
"step": 1290 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8914307871267934, |
|
"eval_f1": 0.14893617021276595, |
|
"eval_loss": 0.3057989478111267, |
|
"eval_mcc": 0.18620749231762276, |
|
"eval_precision": 0.550561797752809, |
|
"eval_recall": 0.08611599297012303, |
|
"eval_runtime": 9.9284, |
|
"eval_samples_per_second": 519.521, |
|
"eval_steps_per_second": 16.317, |
|
"step": 1290 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 0.7381914854049683, |
|
"learning_rate": 0.0001945059811221002, |
|
"loss": 0.29, |
|
"step": 1935 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8951143854207056, |
|
"eval_f1": 0.16640986132511557, |
|
"eval_loss": 0.2883821427822113, |
|
"eval_mcc": 0.2262412458871255, |
|
"eval_precision": 0.675, |
|
"eval_recall": 0.09490333919156414, |
|
"eval_runtime": 9.951, |
|
"eval_samples_per_second": 518.339, |
|
"eval_steps_per_second": 16.28, |
|
"step": 1935 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 2.401355743408203, |
|
"learning_rate": 0.00015560478489768016, |
|
"loss": 0.2831, |
|
"step": 2580 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.8933695230709577, |
|
"eval_f1": 0.2782152230971129, |
|
"eval_loss": 0.29702696204185486, |
|
"eval_mcc": 0.2762227316232168, |
|
"eval_precision": 0.5492227979274611, |
|
"eval_recall": 0.18629173989455183, |
|
"eval_runtime": 9.9249, |
|
"eval_samples_per_second": 519.701, |
|
"eval_steps_per_second": 16.323, |
|
"step": 2580 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 1.1628026962280273, |
|
"learning_rate": 0.00011670358867326012, |
|
"loss": 0.278, |
|
"step": 3225 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.8929817758821249, |
|
"eval_f1": 0.3284671532846716, |
|
"eval_loss": 0.27827948331832886, |
|
"eval_mcc": 0.30685804485965024, |
|
"eval_precision": 0.5335968379446641, |
|
"eval_recall": 0.23725834797891038, |
|
"eval_runtime": 9.9217, |
|
"eval_samples_per_second": 519.869, |
|
"eval_steps_per_second": 16.328, |
|
"step": 3225 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 1.1073917150497437, |
|
"learning_rate": 7.780239244884008e-05, |
|
"loss": 0.272, |
|
"step": 3870 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.8997673516867003, |
|
"eval_f1": 0.31158455392809586, |
|
"eval_loss": 0.2726772427558899, |
|
"eval_mcc": 0.3250995883258456, |
|
"eval_precision": 0.6428571428571429, |
|
"eval_recall": 0.2056239015817223, |
|
"eval_runtime": 9.9563, |
|
"eval_samples_per_second": 518.063, |
|
"eval_steps_per_second": 16.271, |
|
"step": 3870 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 0.8763220310211182, |
|
"learning_rate": 3.890119622442004e-05, |
|
"loss": 0.2672, |
|
"step": 4515 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.9015122140364482, |
|
"eval_f1": 0.3665835411471322, |
|
"eval_loss": 0.2725670337677002, |
|
"eval_mcc": 0.36143858618325836, |
|
"eval_precision": 0.630901287553648, |
|
"eval_recall": 0.2583479789103691, |
|
"eval_runtime": 9.9527, |
|
"eval_samples_per_second": 518.25, |
|
"eval_steps_per_second": 16.277, |
|
"step": 4515 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 5160, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 8, |
|
"save_steps": 500, |
|
"total_flos": 11108597728200.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.9932188265495786, |
|
"learning_rate": 0.0003112095697953603, |
|
"num_train_epochs": 8, |
|
"temperature": 21 |
|
} |
|
} |
|
|