File size: 1,551 Bytes
5fcfeac |
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 |
{
"best_metric": 0.9197247706422018,
"best_model_checkpoint": "bert-base-uncased-finetuned-sst2/run-13/checkpoint-633",
"epoch": 3.0,
"eval_steps": 500,
"global_step": 633,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.911697247706422,
"eval_loss": 0.22412490844726562,
"eval_runtime": 2.4274,
"eval_samples_per_second": 359.236,
"eval_steps_per_second": 22.658,
"step": 211
},
{
"epoch": 2.0,
"eval_accuracy": 0.9105504587155964,
"eval_loss": 0.25786927342414856,
"eval_runtime": 2.4527,
"eval_samples_per_second": 355.532,
"eval_steps_per_second": 22.425,
"step": 422
},
{
"epoch": 2.37,
"grad_norm": 30.697444915771484,
"learning_rate": 2.3450215142725074e-05,
"loss": 0.2117,
"step": 500
},
{
"epoch": 3.0,
"eval_accuracy": 0.9197247706422018,
"eval_loss": 0.3487926125526428,
"eval_runtime": 2.4283,
"eval_samples_per_second": 359.093,
"eval_steps_per_second": 22.649,
"step": 633
}
],
"logging_steps": 500,
"max_steps": 844,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 500,
"total_flos": 422743410424080.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"learning_rate": 5.753483017575571e-05,
"num_train_epochs": 4,
"per_device_train_batch_size": 32,
"seed": 7
}
}
|