|
{ |
|
"best_metric": 0.32672205567359924, |
|
"best_model_checkpoint": "bert_base_lda_20_v1_book_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": 3.378965377807617, |
|
"learning_rate": 4.9e-05, |
|
"loss": 0.4723, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.8398315943620721, |
|
"eval_loss": 0.37053045630455017, |
|
"eval_runtime": 3.6347, |
|
"eval_samples_per_second": 1503.002, |
|
"eval_steps_per_second": 6.053, |
|
"step": 410 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 5.707330226898193, |
|
"learning_rate": 4.8e-05, |
|
"loss": 0.3383, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.862529745561047, |
|
"eval_loss": 0.32672205567359924, |
|
"eval_runtime": 3.6323, |
|
"eval_samples_per_second": 1504.003, |
|
"eval_steps_per_second": 6.057, |
|
"step": 820 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 4.867852210998535, |
|
"learning_rate": 4.7e-05, |
|
"loss": 0.2411, |
|
"step": 1230 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.8628958447739338, |
|
"eval_loss": 0.33844906091690063, |
|
"eval_runtime": 3.6254, |
|
"eval_samples_per_second": 1506.873, |
|
"eval_steps_per_second": 6.068, |
|
"step": 1230 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 4.006015300750732, |
|
"learning_rate": 4.600000000000001e-05, |
|
"loss": 0.1581, |
|
"step": 1640 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.847702727439136, |
|
"eval_loss": 0.4427230954170227, |
|
"eval_runtime": 3.5785, |
|
"eval_samples_per_second": 1526.615, |
|
"eval_steps_per_second": 6.148, |
|
"step": 1640 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 5.629159927368164, |
|
"learning_rate": 4.5e-05, |
|
"loss": 0.1048, |
|
"step": 2050 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.8513637195680029, |
|
"eval_loss": 0.5107147693634033, |
|
"eval_runtime": 3.5257, |
|
"eval_samples_per_second": 1549.498, |
|
"eval_steps_per_second": 6.24, |
|
"step": 2050 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 12.798274993896484, |
|
"learning_rate": 4.4000000000000006e-05, |
|
"loss": 0.0739, |
|
"step": 2460 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.8574043565806333, |
|
"eval_loss": 0.5324944257736206, |
|
"eval_runtime": 3.6055, |
|
"eval_samples_per_second": 1515.2, |
|
"eval_steps_per_second": 6.102, |
|
"step": 2460 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 0.7117020487785339, |
|
"learning_rate": 4.3e-05, |
|
"loss": 0.0568, |
|
"step": 2870 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.8451400329489291, |
|
"eval_loss": 0.6685991287231445, |
|
"eval_runtime": 3.5648, |
|
"eval_samples_per_second": 1532.48, |
|
"eval_steps_per_second": 6.171, |
|
"step": 2870 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"step": 2870, |
|
"total_flos": 9.645664445050368e+16, |
|
"train_loss": 0.20647664950699757, |
|
"train_runtime": 1243.2195, |
|
"train_samples_per_second": 4212.571, |
|
"train_steps_per_second": 16.489 |
|
} |
|
], |
|
"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": 9.645664445050368e+16, |
|
"train_batch_size": 256, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|