File size: 1,336 Bytes
0dda99b c3f3955 0dda99b c3f3955 0dda99b c3f3955 0dda99b c3f3955 0dda99b c3f3955 0dda99b c3f3955 0dda99b c3f3955 0dda99b c3f3955 0dda99b |
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 |
{
"best_metric": 0.44251427534495513,
"best_model_checkpoint": "distilbert-base-uncased-finetuned-cola/run-1/checkpoint-536",
"epoch": 2.0,
"eval_steps": 500,
"global_step": 536,
"is_hyper_param_search": true,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_loss": 0.5035493969917297,
"eval_matthews_correlation": 0.4141806938515634,
"eval_runtime": 0.7419,
"eval_samples_per_second": 1405.832,
"eval_steps_per_second": 88.96,
"step": 268
},
{
"epoch": 1.87,
"grad_norm": 4.896795749664307,
"learning_rate": 5.453884401804003e-06,
"loss": 0.4997,
"step": 500
},
{
"epoch": 2.0,
"eval_loss": 0.4967799484729767,
"eval_matthews_correlation": 0.44251427534495513,
"eval_runtime": 0.8433,
"eval_samples_per_second": 1236.743,
"eval_steps_per_second": 78.26,
"step": 536
}
],
"logging_steps": 500,
"max_steps": 1072,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 500,
"total_flos": 96116481642000.0,
"train_batch_size": 32,
"trial_name": null,
"trial_params": {
"learning_rate": 1.0221265871912396e-05,
"num_train_epochs": 4,
"per_device_train_batch_size": 32,
"seed": 8
}
}
|