File size: 1,472 Bytes
992cee2 |
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 56 57 58 59 |
{
"best_metric": 0.7366666666666667,
"best_model_checkpoint": "Bert_tinybert-distilled/run-26/checkpoint-172",
"epoch": 1.0,
"eval_steps": 500,
"global_step": 172,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"grad_norm": 2.019540548324585,
"learning_rate": 0.00010368996748543682,
"loss": 0.5941,
"step": 172
},
{
"epoch": 1.0,
"eval_AUC": 0.819072,
"eval_BAC": 0.7366666666666667,
"eval_MCC": 0.47336741701441504,
"eval_PR_AUC": 0.7723271954821734,
"eval_accuracy": 0.7366666666666667,
"eval_loss": 0.5035012364387512,
"eval_runtime": 6.3714,
"eval_samples_per_second": 235.425,
"eval_steps_per_second": 7.377,
"step": 172
}
],
"logging_steps": 500,
"max_steps": 1548,
"num_input_tokens_seen": 0,
"num_train_epochs": 9,
"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": 450377730000.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"alpha": 0.9196094567227121,
"learning_rate": 0.00011665121342111642,
"num_train_epochs": 9,
"temperature": 22
}
}
|