|
{ |
|
"best_metric": 0.9403783584342401, |
|
"best_model_checkpoint": "model_saves/xlnet-large_lemon-spell_5k_1_p3/checkpoint-536", |
|
"epoch": 5.0, |
|
"global_step": 1340, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.9399143550352754, |
|
"eval_loss": 0.4331456124782562, |
|
"eval_runtime": 4.9037, |
|
"eval_samples_per_second": 893.606, |
|
"eval_steps_per_second": 7.137, |
|
"step": 268 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.9403783584342401, |
|
"eval_loss": 0.4501822292804718, |
|
"eval_runtime": 4.78, |
|
"eval_samples_per_second": 916.736, |
|
"eval_steps_per_second": 7.322, |
|
"step": 536 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.9400205726808216, |
|
"eval_loss": 0.4826386570930481, |
|
"eval_runtime": 4.713, |
|
"eval_samples_per_second": 929.76, |
|
"eval_steps_per_second": 7.426, |
|
"step": 804 |
|
}, |
|
{ |
|
"epoch": 3.73, |
|
"learning_rate": 1e-05, |
|
"loss": 0.3276, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.9399031742304811, |
|
"eval_loss": 0.5183663964271545, |
|
"eval_runtime": 4.721, |
|
"eval_samples_per_second": 928.191, |
|
"eval_steps_per_second": 7.414, |
|
"step": 1072 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.9392323259428214, |
|
"eval_loss": 0.560949444770813, |
|
"eval_runtime": 4.7734, |
|
"eval_samples_per_second": 918.011, |
|
"eval_steps_per_second": 7.332, |
|
"step": 1340 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"step": 1340, |
|
"total_flos": 2.12276846002176e+16, |
|
"train_loss": 0.29810903179111764, |
|
"train_runtime": 570.8717, |
|
"train_samples_per_second": 901.358, |
|
"train_steps_per_second": 7.042 |
|
} |
|
], |
|
"max_steps": 4020, |
|
"num_train_epochs": 15, |
|
"total_flos": 2.12276846002176e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|