|
{ |
|
"best_metric": 0.6964953541755676, |
|
"best_model_checkpoint": "bert_tiny_lda_50_v1_book_wnli/checkpoint-3", |
|
"epoch": 6.0, |
|
"eval_steps": 500, |
|
"global_step": 18, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 0.8155308365821838, |
|
"learning_rate": 4.9e-05, |
|
"loss": 0.7018, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.5633802816901409, |
|
"eval_loss": 0.6964953541755676, |
|
"eval_runtime": 0.029, |
|
"eval_samples_per_second": 2450.307, |
|
"eval_steps_per_second": 34.511, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 0.7931452989578247, |
|
"learning_rate": 4.8e-05, |
|
"loss": 0.6999, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.39436619718309857, |
|
"eval_loss": 0.7075263857841492, |
|
"eval_runtime": 0.029, |
|
"eval_samples_per_second": 2447.93, |
|
"eval_steps_per_second": 34.478, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 0.8391414284706116, |
|
"learning_rate": 4.7e-05, |
|
"loss": 0.6971, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.4225352112676056, |
|
"eval_loss": 0.7252969145774841, |
|
"eval_runtime": 0.0293, |
|
"eval_samples_per_second": 2419.391, |
|
"eval_steps_per_second": 34.076, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 0.7865285873413086, |
|
"learning_rate": 4.600000000000001e-05, |
|
"loss": 0.6921, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.4225352112676056, |
|
"eval_loss": 0.7110476493835449, |
|
"eval_runtime": 0.0297, |
|
"eval_samples_per_second": 2387.656, |
|
"eval_steps_per_second": 33.629, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 1.0633721351623535, |
|
"learning_rate": 4.5e-05, |
|
"loss": 0.6941, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.39436619718309857, |
|
"eval_loss": 0.716549277305603, |
|
"eval_runtime": 0.0288, |
|
"eval_samples_per_second": 2463.482, |
|
"eval_steps_per_second": 34.697, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 0.7382026314735413, |
|
"learning_rate": 4.4000000000000006e-05, |
|
"loss": 0.689, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.3380281690140845, |
|
"eval_loss": 0.7329993844032288, |
|
"eval_runtime": 0.029, |
|
"eval_samples_per_second": 2448.071, |
|
"eval_steps_per_second": 34.48, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"step": 18, |
|
"total_flos": 99911832606720.0, |
|
"train_loss": 0.6956634124120077, |
|
"train_runtime": 7.7222, |
|
"train_samples_per_second": 4111.506, |
|
"train_steps_per_second": 19.424 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 150, |
|
"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": 99911832606720.0, |
|
"train_batch_size": 256, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|