File size: 1,604 Bytes
8062160 | 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 60 61 62 63 | {
"best_global_step": 622,
"best_metric": 0.8473332988903107,
"best_model_checkpoint": "./results-PR/bert-base-multilingual-cased_fold_3/checkpoint-622",
"epoch": 1.0,
"eval_steps": 500,
"global_step": 622,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.8038585209003215,
"grad_norm": 22.27177619934082,
"learning_rate": 2.0056270096463023e-05,
"loss": 0.5633,
"step": 500
},
{
"epoch": 1.0,
"eval_accuracy": 0.8494363929146538,
"eval_f1": 0.8473332988903107,
"eval_loss": 0.49841073155403137,
"eval_precision": 0.8473063344614572,
"eval_recall": 0.8494363929146538,
"eval_runtime": 5.1056,
"eval_samples_per_second": 243.261,
"eval_steps_per_second": 30.555,
"step": 622
}
],
"logging_steps": 500,
"max_steps": 12440,
"num_input_tokens_seen": 0,
"num_train_epochs": 20,
"save_steps": 500,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 3,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 1307925056194560.0,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}
|