|
{ |
|
"best_metric": 0.9399143550352754, |
|
"best_model_checkpoint": "model_saves/xlnet-large_spell_5k_3_p3/checkpoint-268", |
|
"epoch": 4.0, |
|
"global_step": 1072, |
|
"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": 0.4382997751235962, |
|
"eval_runtime": 4.7784, |
|
"eval_samples_per_second": 917.037, |
|
"eval_steps_per_second": 7.325, |
|
"step": 268 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.9397801853777434, |
|
"eval_loss": 0.4542422294616699, |
|
"eval_runtime": 4.7485, |
|
"eval_samples_per_second": 922.816, |
|
"eval_steps_per_second": 7.371, |
|
"step": 536 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.9386732857031049, |
|
"eval_loss": 0.48965439200401306, |
|
"eval_runtime": 4.746, |
|
"eval_samples_per_second": 923.313, |
|
"eval_steps_per_second": 7.375, |
|
"step": 804 |
|
}, |
|
{ |
|
"epoch": 3.73, |
|
"learning_rate": 1e-05, |
|
"loss": 0.2986, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.9388521785798142, |
|
"eval_loss": 0.5420284271240234, |
|
"eval_runtime": 4.7408, |
|
"eval_samples_per_second": 924.321, |
|
"eval_steps_per_second": 7.383, |
|
"step": 1072 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"step": 1072, |
|
"total_flos": 1.6970958350843904e+16, |
|
"train_loss": 0.2934352132811475, |
|
"train_runtime": 450.9419, |
|
"train_samples_per_second": 1141.078, |
|
"train_steps_per_second": 8.915 |
|
} |
|
], |
|
"max_steps": 4020, |
|
"num_train_epochs": 15, |
|
"total_flos": 1.6970958350843904e+16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|