xuancoblab2023's picture
Training in progress, epoch 3
b237307 verified
raw
history blame
2.32 kB
{
"best_metric": 0.7428236672524897,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-41/checkpoint-642",
"epoch": 3.0,
"eval_steps": 500,
"global_step": 642,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 7.4478278160095215,
"learning_rate": 0.00011476430024641456,
"loss": 0.5267,
"step": 214
},
{
"epoch": 1.0,
"eval_accuracy": 0.7094317516110135,
"eval_f1": 0.487603305785124,
"eval_loss": 0.4861217737197876,
"eval_mcc": 0.3024497025688451,
"eval_precision": 0.5914786967418546,
"eval_recall": 0.4147627416520211,
"eval_runtime": 3.1538,
"eval_samples_per_second": 541.244,
"eval_steps_per_second": 17.122,
"step": 214
},
{
"epoch": 2.0,
"grad_norm": 2.338618755340576,
"learning_rate": 5.738215012320728e-05,
"loss": 0.4743,
"step": 428
},
{
"epoch": 2.0,
"eval_accuracy": 0.7381370826010545,
"eval_f1": 0.5299684542586751,
"eval_loss": 0.4651449918746948,
"eval_mcc": 0.37172090324876994,
"eval_precision": 0.6596858638743456,
"eval_recall": 0.4428822495606327,
"eval_runtime": 3.7183,
"eval_samples_per_second": 459.08,
"eval_steps_per_second": 14.523,
"step": 428
},
{
"epoch": 3.0,
"grad_norm": 1.6570167541503906,
"learning_rate": 0.0,
"loss": 0.4594,
"step": 642
},
{
"epoch": 3.0,
"eval_accuracy": 0.7428236672524897,
"eval_f1": 0.5334750265674814,
"eval_loss": 0.46071532368659973,
"eval_mcc": 0.3822943460437718,
"eval_precision": 0.6747311827956989,
"eval_recall": 0.44112478031634444,
"eval_runtime": 3.1598,
"eval_samples_per_second": 540.217,
"eval_steps_per_second": 17.089,
"step": 642
}
],
"logging_steps": 500,
"max_steps": 642,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"total_flos": 1574326993320.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.8513780187435334,
"learning_rate": 0.00017214645036962186,
"num_train_epochs": 3,
"temperature": 16
}
}