|
{ |
|
"best_metric": 0.7803163444639719, |
|
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-21/checkpoint-1712", |
|
"epoch": 8.0, |
|
"eval_steps": 500, |
|
"global_step": 1712, |
|
"is_hyper_param_search": true, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 6.750798225402832, |
|
"learning_rate": 0.00029949232941444245, |
|
"loss": 0.5927, |
|
"step": 214 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7147041593438781, |
|
"eval_f1": 0.4236686390532544, |
|
"eval_loss": 0.5422016978263855, |
|
"eval_mcc": 0.293664298583451, |
|
"eval_precision": 0.6485507246376812, |
|
"eval_recall": 0.3145869947275923, |
|
"eval_runtime": 3.1455, |
|
"eval_samples_per_second": 542.682, |
|
"eval_steps_per_second": 17.167, |
|
"step": 214 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 2.565903902053833, |
|
"learning_rate": 0.00027453463529657224, |
|
"loss": 0.5298, |
|
"step": 428 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7357937902753369, |
|
"eval_f1": 0.5124324324324324, |
|
"eval_loss": 0.5132952928543091, |
|
"eval_mcc": 0.36196008516504746, |
|
"eval_precision": 0.6657303370786517, |
|
"eval_recall": 0.4165202108963093, |
|
"eval_runtime": 3.2065, |
|
"eval_samples_per_second": 532.363, |
|
"eval_steps_per_second": 16.841, |
|
"step": 428 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 2.1464009284973145, |
|
"learning_rate": 0.00024957694117870203, |
|
"loss": 0.5051, |
|
"step": 642 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.7340363210310487, |
|
"eval_f1": 0.41191709844559593, |
|
"eval_loss": 0.5232194066047668, |
|
"eval_mcc": 0.3506417522239517, |
|
"eval_precision": 0.7832512315270936, |
|
"eval_recall": 0.27943760984182775, |
|
"eval_runtime": 3.1624, |
|
"eval_samples_per_second": 539.782, |
|
"eval_steps_per_second": 17.076, |
|
"step": 642 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 3.173802375793457, |
|
"learning_rate": 0.00022461924706083182, |
|
"loss": 0.4904, |
|
"step": 856 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.7434094903339191, |
|
"eval_f1": 0.46715328467153294, |
|
"eval_loss": 0.49749329686164856, |
|
"eval_mcc": 0.37656942971572427, |
|
"eval_precision": 0.758893280632411, |
|
"eval_recall": 0.3374340949033392, |
|
"eval_runtime": 3.4589, |
|
"eval_samples_per_second": 493.508, |
|
"eval_steps_per_second": 15.612, |
|
"step": 856 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 5.341954708099365, |
|
"learning_rate": 0.00019966155294296164, |
|
"loss": 0.4762, |
|
"step": 1070 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.7381370826010545, |
|
"eval_f1": 0.6499608457321848, |
|
"eval_loss": 0.5032187104225159, |
|
"eval_mcc": 0.4515022458491435, |
|
"eval_precision": 0.5861581920903954, |
|
"eval_recall": 0.7293497363796133, |
|
"eval_runtime": 3.1483, |
|
"eval_samples_per_second": 542.198, |
|
"eval_steps_per_second": 17.152, |
|
"step": 1070 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 4.139582633972168, |
|
"learning_rate": 0.00017470385882509143, |
|
"loss": 0.4708, |
|
"step": 1284 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.7662565905096661, |
|
"eval_f1": 0.6288372093023256, |
|
"eval_loss": 0.48133140802383423, |
|
"eval_mcc": 0.46078884011912263, |
|
"eval_precision": 0.6679841897233202, |
|
"eval_recall": 0.5940246045694201, |
|
"eval_runtime": 3.3146, |
|
"eval_samples_per_second": 514.988, |
|
"eval_steps_per_second": 16.291, |
|
"step": 1284 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 4.1577534675598145, |
|
"learning_rate": 0.00014974616470722122, |
|
"loss": 0.4562, |
|
"step": 1498 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.7738722905682484, |
|
"eval_f1": 0.5936842105263158, |
|
"eval_loss": 0.48448288440704346, |
|
"eval_mcc": 0.4625979514063081, |
|
"eval_precision": 0.7401574803149606, |
|
"eval_recall": 0.4956063268892794, |
|
"eval_runtime": 3.1532, |
|
"eval_samples_per_second": 541.359, |
|
"eval_steps_per_second": 17.126, |
|
"step": 1498 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"grad_norm": 4.001567840576172, |
|
"learning_rate": 0.00012478847058935101, |
|
"loss": 0.4448, |
|
"step": 1712 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.7803163444639719, |
|
"eval_f1": 0.6397694524495678, |
|
"eval_loss": 0.46665722131729126, |
|
"eval_mcc": 0.48808014304461034, |
|
"eval_precision": 0.7055084745762712, |
|
"eval_recall": 0.5852372583479789, |
|
"eval_runtime": 3.3884, |
|
"eval_samples_per_second": 503.777, |
|
"eval_steps_per_second": 15.937, |
|
"step": 1712 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2782, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 13, |
|
"save_steps": 500, |
|
"total_flos": 4198205315520.0, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": { |
|
"alpha": 0.9862491765682508, |
|
"learning_rate": 0.00032445002353231265, |
|
"num_train_epochs": 13, |
|
"temperature": 19 |
|
} |
|
} |
|
|