xuancoblab2023's picture
Training in progress, epoch 1
630403b verified
raw
history blame
2.26 kB
{
"best_metric": 0.7583170254403131,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-19/checkpoint-118",
"epoch": 3.0,
"eval_steps": 500,
"global_step": 177,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 0.9501977562904358,
"learning_rate": 0.00014305210915070167,
"loss": 0.4807,
"step": 59
},
{
"epoch": 1.0,
"eval_accuracy": 0.7221135029354208,
"eval_f1": 0.7171314741035855,
"eval_loss": 0.42745766043663025,
"eval_precision": 0.7302231237322515,
"eval_recall": 0.7045009784735812,
"eval_runtime": 28.9792,
"eval_samples_per_second": 35.267,
"eval_steps_per_second": 1.104,
"step": 59
},
{
"epoch": 2.0,
"grad_norm": 1.8899472951889038,
"learning_rate": 9.536807276713445e-05,
"loss": 0.4215,
"step": 118
},
{
"epoch": 2.0,
"eval_accuracy": 0.7583170254403131,
"eval_f1": 0.7576054955839059,
"eval_loss": 0.39966535568237305,
"eval_precision": 0.7598425196850394,
"eval_recall": 0.7553816046966731,
"eval_runtime": 27.7652,
"eval_samples_per_second": 36.809,
"eval_steps_per_second": 1.153,
"step": 118
},
{
"epoch": 3.0,
"grad_norm": 1.816827654838562,
"learning_rate": 4.7684036383567226e-05,
"loss": 0.406,
"step": 177
},
{
"epoch": 3.0,
"eval_accuracy": 0.7544031311154599,
"eval_f1": 0.7420349434737924,
"eval_loss": 0.39147794246673584,
"eval_precision": 0.7813852813852814,
"eval_recall": 0.7064579256360078,
"eval_runtime": 28.1332,
"eval_samples_per_second": 36.327,
"eval_steps_per_second": 1.137,
"step": 177
}
],
"logging_steps": 500,
"max_steps": 236,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 500,
"total_flos": 707085591840.0,
"train_batch_size": 52,
"trial_name": null,
"trial_params": {
"alpha": 0.6660099026576007,
"learning_rate": 0.0001907361455342689,
"num_train_epochs": 4,
"per_device_train_batch_size": 52,
"temperature": 20
}
}