|
{ |
|
"best_metric": 0.5440313111545988, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-7/checkpoint-292", |
|
"epoch": 6.0, |
|
"eval_steps": 500, |
|
"global_step": 876, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 0.4084218442440033, |
|
"learning_rate": 0.0002846359367487843, |
|
"loss": 0.0564, |
|
"step": 146 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.5420743639921722, |
|
"eval_f1": 0.21212121212121213, |
|
"eval_loss": 0.042483557015657425, |
|
"eval_precision": 0.7590361445783133, |
|
"eval_recall": 0.1232876712328767, |
|
"eval_runtime": 28.2636, |
|
"eval_samples_per_second": 36.16, |
|
"eval_steps_per_second": 1.132, |
|
"step": 146 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 0.22884152829647064, |
|
"learning_rate": 0.00022770874939902745, |
|
"loss": 0.0455, |
|
"step": 292 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.5440313111545988, |
|
"eval_f1": 0.21283783783783783, |
|
"eval_loss": 0.04199887067079544, |
|
"eval_precision": 0.7777777777777778, |
|
"eval_recall": 0.1232876712328767, |
|
"eval_runtime": 27.8033, |
|
"eval_samples_per_second": 36.758, |
|
"eval_steps_per_second": 1.151, |
|
"step": 292 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 0.41705241799354553, |
|
"learning_rate": 0.0001707815620492706, |
|
"loss": 0.0445, |
|
"step": 438 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.5322896281800391, |
|
"eval_f1": 0.1758620689655172, |
|
"eval_loss": 0.0437779501080513, |
|
"eval_precision": 0.7391304347826086, |
|
"eval_recall": 0.09980430528375733, |
|
"eval_runtime": 28.2813, |
|
"eval_samples_per_second": 36.137, |
|
"eval_steps_per_second": 1.131, |
|
"step": 438 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 0.17889831960201263, |
|
"learning_rate": 0.00011385437469951372, |
|
"loss": 0.0435, |
|
"step": 584 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.5332681017612525, |
|
"eval_f1": 0.17900172117039587, |
|
"eval_loss": 0.04091888666152954, |
|
"eval_precision": 0.7428571428571429, |
|
"eval_recall": 0.10176125244618395, |
|
"eval_runtime": 28.0708, |
|
"eval_samples_per_second": 36.408, |
|
"eval_steps_per_second": 1.14, |
|
"step": 584 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 0.35064178705215454, |
|
"learning_rate": 5.692718734975686e-05, |
|
"loss": 0.0431, |
|
"step": 730 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.5322896281800391, |
|
"eval_f1": 0.1758620689655172, |
|
"eval_loss": 0.04131113365292549, |
|
"eval_precision": 0.7391304347826086, |
|
"eval_recall": 0.09980430528375733, |
|
"eval_runtime": 27.8905, |
|
"eval_samples_per_second": 36.643, |
|
"eval_steps_per_second": 1.147, |
|
"step": 730 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 0.22150251269340515, |
|
"learning_rate": 0.0, |
|
"loss": 0.0427, |
|
"step": 876 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.5352250489236791, |
|
"eval_f1": 0.18524871355060032, |
|
"eval_loss": 0.04079839587211609, |
|
"eval_precision": 0.75, |
|
"eval_recall": 0.10567514677103718, |
|
"eval_runtime": 27.877, |
|
"eval_samples_per_second": 36.661, |
|
"eval_steps_per_second": 1.148, |
|
"step": 876 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 876, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 6, |
|
"save_steps": 500, |
|
"total_flos": 1414171183680.0, |
|
"train_batch_size": 21, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.04464648890006717, |
|
"learning_rate": 0.0003415631240985412, |
|
"num_train_epochs": 6, |
|
"per_device_train_batch_size": 21, |
|
"temperature": 2 |
|
} |
|
} |
|
|