File size: 1,362 Bytes
e186e92 |
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 |
{
"best_metric": 0.6096339821815491,
"best_model_checkpoint": "BERT-WMM/run-1/checkpoint-1066",
"epoch": 2.0,
"eval_steps": 500,
"global_step": 1066,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.94,
"grad_norm": 13.094008445739746,
"learning_rate": 6.009687524192743e-06,
"loss": 0.7652,
"step": 500
},
{
"epoch": 1.0,
"eval_accuracy": 0.7244131455399061,
"eval_loss": 0.6637173295021057,
"eval_runtime": 2.0459,
"eval_samples_per_second": 1041.116,
"eval_steps_per_second": 65.497,
"step": 533
},
{
"epoch": 1.88,
"grad_norm": 24.103755950927734,
"learning_rate": 3.27552577524245e-06,
"loss": 0.543,
"step": 1000
},
{
"epoch": 2.0,
"eval_accuracy": 0.7615023474178404,
"eval_loss": 0.6096339821815491,
"eval_runtime": 2.2188,
"eval_samples_per_second": 959.966,
"eval_steps_per_second": 60.392,
"step": 1066
}
],
"logging_steps": 500,
"max_steps": 1599,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"total_flos": 338261076519408.0,
"train_batch_size": 16,
"trial_name": null,
"trial_params": {
"learning_rate": 8.743849273143035e-06
}
}
|