xuancoblab2023's picture
Training in progress, epoch 1
d7f96b9 verified
{
"best_metric": 0.6604696673189824,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-0/checkpoint-486",
"epoch": 9.0,
"eval_steps": 500,
"global_step": 729,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 0.29800447821617126,
"learning_rate": 2.6647930950340397e-05,
"loss": 0.3887,
"step": 81
},
{
"epoch": 1.0,
"eval_accuracy": 0.5,
"eval_f1": 0.0,
"eval_loss": 0.3728242516517639,
"eval_precision": 0.0,
"eval_recall": 0.0,
"eval_runtime": 30.0921,
"eval_samples_per_second": 33.962,
"eval_steps_per_second": 1.063,
"step": 81
},
{
"epoch": 2.0,
"grad_norm": 1.0294488668441772,
"learning_rate": 2.331693958154785e-05,
"loss": 0.3659,
"step": 162
},
{
"epoch": 2.0,
"eval_accuracy": 0.5371819960861057,
"eval_f1": 0.19145299145299144,
"eval_loss": 0.35036981105804443,
"eval_precision": 0.7567567567567568,
"eval_recall": 0.1095890410958904,
"eval_runtime": 30.0254,
"eval_samples_per_second": 34.038,
"eval_steps_per_second": 1.066,
"step": 162
},
{
"epoch": 3.0,
"grad_norm": 1.3886942863464355,
"learning_rate": 1.99859482127553e-05,
"loss": 0.3406,
"step": 243
},
{
"epoch": 3.0,
"eval_accuracy": 0.5802348336594912,
"eval_f1": 0.32863849765258213,
"eval_loss": 0.32384729385375977,
"eval_precision": 0.8203125,
"eval_recall": 0.2054794520547945,
"eval_runtime": 29.2219,
"eval_samples_per_second": 34.974,
"eval_steps_per_second": 1.095,
"step": 243
},
{
"epoch": 4.0,
"grad_norm": 0.869124174118042,
"learning_rate": 1.665495684396275e-05,
"loss": 0.3253,
"step": 324
},
{
"epoch": 4.0,
"eval_accuracy": 0.6360078277886497,
"eval_f1": 0.48901098901098894,
"eval_loss": 0.31458520889282227,
"eval_precision": 0.8202764976958525,
"eval_recall": 0.34833659491193736,
"eval_runtime": 29.7469,
"eval_samples_per_second": 34.356,
"eval_steps_per_second": 1.076,
"step": 324
},
{
"epoch": 5.0,
"grad_norm": 1.3957839012145996,
"learning_rate": 1.3323965475170199e-05,
"loss": 0.3227,
"step": 405
},
{
"epoch": 5.0,
"eval_accuracy": 0.6487279843444227,
"eval_f1": 0.521970705725699,
"eval_loss": 0.3122331500053406,
"eval_precision": 0.8166666666666667,
"eval_recall": 0.3835616438356164,
"eval_runtime": 29.6103,
"eval_samples_per_second": 34.515,
"eval_steps_per_second": 1.081,
"step": 405
},
{
"epoch": 6.0,
"grad_norm": 1.8226208686828613,
"learning_rate": 9.99297410637765e-06,
"loss": 0.3203,
"step": 486
},
{
"epoch": 6.0,
"eval_accuracy": 0.6604696673189824,
"eval_f1": 0.5522580645161289,
"eval_loss": 0.31177300214767456,
"eval_precision": 0.8106060606060606,
"eval_recall": 0.4187866927592955,
"eval_runtime": 29.3492,
"eval_samples_per_second": 34.822,
"eval_steps_per_second": 1.09,
"step": 486
},
{
"epoch": 7.0,
"grad_norm": 1.4845212697982788,
"learning_rate": 6.661982737585099e-06,
"loss": 0.3188,
"step": 567
},
{
"epoch": 7.0,
"eval_accuracy": 0.6340508806262231,
"eval_f1": 0.48484848484848486,
"eval_loss": 0.3102571964263916,
"eval_precision": 0.8186046511627907,
"eval_recall": 0.34442270058708413,
"eval_runtime": 29.5252,
"eval_samples_per_second": 34.614,
"eval_steps_per_second": 1.084,
"step": 567
},
{
"epoch": 8.0,
"grad_norm": 1.0866426229476929,
"learning_rate": 3.3309913687925497e-06,
"loss": 0.3164,
"step": 648
},
{
"epoch": 8.0,
"eval_accuracy": 0.6545988258317026,
"eval_f1": 0.5397653194263363,
"eval_loss": 0.3101910948753357,
"eval_precision": 0.80859375,
"eval_recall": 0.4050880626223092,
"eval_runtime": 30.0772,
"eval_samples_per_second": 33.979,
"eval_steps_per_second": 1.064,
"step": 648
},
{
"epoch": 9.0,
"grad_norm": 0.8858753442764282,
"learning_rate": 0.0,
"loss": 0.316,
"step": 729
},
{
"epoch": 9.0,
"eval_accuracy": 0.649706457925636,
"eval_f1": 0.5289473684210527,
"eval_loss": 0.30977755784988403,
"eval_precision": 0.8072289156626506,
"eval_recall": 0.3933463796477495,
"eval_runtime": 30.1686,
"eval_samples_per_second": 33.876,
"eval_steps_per_second": 1.061,
"step": 729
}
],
"logging_steps": 500,
"max_steps": 729,
"num_input_tokens_seen": 0,
"num_train_epochs": 9,
"save_steps": 500,
"total_flos": 2121256775520.0,
"train_batch_size": 38,
"trial_name": null,
"trial_params": {
"alpha": 0.462182377373202,
"learning_rate": 2.997892231913295e-05,
"num_train_epochs": 9,
"per_device_train_batch_size": 38,
"temperature": 10
}
}