File size: 1,207 Bytes
7bf76f3 |
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 |
{
"best_metric": 0.8658256880733946,
"best_model_checkpoint": "Tech-oriented/best_model_bert_uncasedbert-base-uncased-finetuned-sst2/run-6/checkpoint-422",
"epoch": 2.0,
"eval_steps": 500,
"global_step": 422,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.7912844036697247,
"eval_loss": 0.601198136806488,
"eval_runtime": 2.3532,
"eval_samples_per_second": 370.566,
"eval_steps_per_second": 23.373,
"step": 211
},
{
"epoch": 2.0,
"eval_accuracy": 0.8658256880733946,
"eval_loss": 0.3699955940246582,
"eval_runtime": 2.3413,
"eval_samples_per_second": 372.446,
"eval_steps_per_second": 23.491,
"step": 422
}
],
"logging_steps": 4209,
"max_steps": 633,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"total_flos": 0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"learning_rate": 5.0863520721840915e-06,
"num_train_epochs": 3,
"per_device_train_batch_size": 32,
"seed": 1,
"weight_decay": 0.2453037416510182
}
}
|