|
{ |
|
"best_metric": 0.40745484828948975, |
|
"best_model_checkpoint": "distilbert_lda_50_v1_qnli/checkpoint-820", |
|
"epoch": 7.0, |
|
"eval_steps": 500, |
|
"global_step": 2870, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 3.832184076309204, |
|
"learning_rate": 4.9e-05, |
|
"loss": 0.5532, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7627677100494233, |
|
"eval_loss": 0.5176936984062195, |
|
"eval_runtime": 2.289, |
|
"eval_samples_per_second": 2386.653, |
|
"eval_steps_per_second": 9.611, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 3.9373576641082764, |
|
"learning_rate": 4.8e-05, |
|
"loss": 0.4263, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.8211605345048508, |
|
"eval_loss": 0.40745484828948975, |
|
"eval_runtime": 2.2919, |
|
"eval_samples_per_second": 2383.66, |
|
"eval_steps_per_second": 9.599, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 4.5357537269592285, |
|
"learning_rate": 4.7e-05, |
|
"loss": 0.3371, |
|
"step": 1230 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8132894014277869, |
|
"eval_loss": 0.4168780446052551, |
|
"eval_runtime": 2.3267, |
|
"eval_samples_per_second": 2347.919, |
|
"eval_steps_per_second": 9.455, |
|
"step": 1230 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 5.284133434295654, |
|
"learning_rate": 4.600000000000001e-05, |
|
"loss": 0.2505, |
|
"step": 1640 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.8116419549697969, |
|
"eval_loss": 0.4765816330909729, |
|
"eval_runtime": 2.3197, |
|
"eval_samples_per_second": 2355.085, |
|
"eval_steps_per_second": 9.484, |
|
"step": 1640 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 4.09841251373291, |
|
"learning_rate": 4.5e-05, |
|
"loss": 0.18, |
|
"step": 2050 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.7940691927512356, |
|
"eval_loss": 0.6080189943313599, |
|
"eval_runtime": 2.3468, |
|
"eval_samples_per_second": 2327.804, |
|
"eval_steps_per_second": 9.374, |
|
"step": 2050 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 5.979333400726318, |
|
"learning_rate": 4.4000000000000006e-05, |
|
"loss": 0.1275, |
|
"step": 2460 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.8120080541826835, |
|
"eval_loss": 0.676863431930542, |
|
"eval_runtime": 2.307, |
|
"eval_samples_per_second": 2368.062, |
|
"eval_steps_per_second": 9.536, |
|
"step": 2460 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 2.858701467514038, |
|
"learning_rate": 4.3e-05, |
|
"loss": 0.0953, |
|
"step": 2870 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.7973640856672158, |
|
"eval_loss": 0.6988027095794678, |
|
"eval_runtime": 2.35, |
|
"eval_samples_per_second": 2324.65, |
|
"eval_steps_per_second": 9.362, |
|
"step": 2870 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"step": 2870, |
|
"total_flos": 4.856261458098893e+16, |
|
"train_loss": 0.2814387039025071, |
|
"train_runtime": 709.1788, |
|
"train_samples_per_second": 7384.809, |
|
"train_steps_per_second": 28.907 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 20500, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 50, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"EarlyStoppingCallback": { |
|
"args": { |
|
"early_stopping_patience": 5, |
|
"early_stopping_threshold": 0.0 |
|
}, |
|
"attributes": { |
|
"early_stopping_patience_counter": 5 |
|
} |
|
}, |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 4.856261458098893e+16, |
|
"train_batch_size": 256, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|