File size: 1,328 Bytes
974ded2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 |
{
"best_metric": 0.8153669724770642,
"best_model_checkpoint": "tiny-bert-sst2-distilled/run-1/checkpoint-527",
"epoch": 1.0,
"eval_steps": 500,
"global_step": 527,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 30.242748260498047,
"learning_rate": 0.000111895725910844,
"loss": 2.3991,
"step": 527
},
{
"epoch": 1.0,
"eval_accuracy": 0.8153669724770642,
"eval_loss": 1.9181628227233887,
"eval_runtime": 2.3714,
"eval_samples_per_second": 367.708,
"eval_steps_per_second": 2.952,
"step": 527
}
],
"logging_steps": 500,
"max_steps": 3162,
"num_input_tokens_seen": 0,
"num_train_epochs": 6,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 8057768762220.0,
"train_batch_size": 128,
"trial_name": null,
"trial_params": {
"alpha": 0.051381532356201576,
"learning_rate": 0.0001342239322193053,
"num_train_epochs": 6,
"temperature": 23
}
}
|