xuancoblab2023's picture
Training in progress, epoch 1
2197423 verified
{
"best_metric": 0.812133072407045,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-15/checkpoint-288",
"epoch": 3.0,
"eval_steps": 500,
"global_step": 288,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 1.150837779045105,
"learning_rate": 0.00014120530022151875,
"loss": 0.5007,
"step": 96
},
{
"epoch": 1.0,
"eval_accuracy": 0.7681017612524462,
"eval_f1": 0.7889581478183438,
"eval_loss": 0.4356862008571625,
"eval_precision": 0.7238562091503268,
"eval_recall": 0.8669275929549902,
"eval_runtime": 28.2732,
"eval_samples_per_second": 36.147,
"eval_steps_per_second": 1.132,
"step": 96
},
{
"epoch": 2.0,
"grad_norm": 2.0905497074127197,
"learning_rate": 9.413686681434584e-05,
"loss": 0.4302,
"step": 192
},
{
"epoch": 2.0,
"eval_accuracy": 0.7984344422700587,
"eval_f1": 0.81993006993007,
"eval_loss": 0.4125403165817261,
"eval_precision": 0.740916271721959,
"eval_recall": 0.9178082191780822,
"eval_runtime": 29.852,
"eval_samples_per_second": 34.236,
"eval_steps_per_second": 1.072,
"step": 192
},
{
"epoch": 3.0,
"grad_norm": 2.322948455810547,
"learning_rate": 4.706843340717292e-05,
"loss": 0.4123,
"step": 288
},
{
"epoch": 3.0,
"eval_accuracy": 0.812133072407045,
"eval_f1": 0.8303886925795053,
"eval_loss": 0.40187525749206543,
"eval_precision": 0.7568438003220612,
"eval_recall": 0.9197651663405088,
"eval_runtime": 28.0204,
"eval_samples_per_second": 36.473,
"eval_steps_per_second": 1.142,
"step": 288
}
],
"logging_steps": 500,
"max_steps": 384,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 500,
"total_flos": 707085591840.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.7235742113106859,
"learning_rate": 0.00018827373362869168,
"num_train_epochs": 4,
"temperature": 25
}
}