|
{ |
|
"best_metric": 0.5409021973609924, |
|
"best_model_checkpoint": "distilbert_lda_20_v1_book_mnli/checkpoint-3068", |
|
"epoch": 7.0, |
|
"eval_steps": 500, |
|
"global_step": 10738, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 1.0, |
|
"grad_norm": 2.5330288410186768, |
|
"learning_rate": 4.9e-05, |
|
"loss": 0.7024, |
|
"step": 1534 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.7646459500764137, |
|
"eval_loss": 0.5842658281326294, |
|
"eval_runtime": 4.3578, |
|
"eval_samples_per_second": 2252.258, |
|
"eval_steps_per_second": 8.949, |
|
"step": 1534 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"grad_norm": 2.305652141571045, |
|
"learning_rate": 4.8e-05, |
|
"loss": 0.5147, |
|
"step": 3068 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.7890983188996434, |
|
"eval_loss": 0.5409021973609924, |
|
"eval_runtime": 4.3076, |
|
"eval_samples_per_second": 2278.506, |
|
"eval_steps_per_second": 9.054, |
|
"step": 3068 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"grad_norm": 2.426408052444458, |
|
"learning_rate": 4.7e-05, |
|
"loss": 0.407, |
|
"step": 4602 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.7910341314314824, |
|
"eval_loss": 0.5485309362411499, |
|
"eval_runtime": 4.5464, |
|
"eval_samples_per_second": 2158.847, |
|
"eval_steps_per_second": 8.578, |
|
"step": 4602 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"grad_norm": 3.034677028656006, |
|
"learning_rate": 4.600000000000001e-05, |
|
"loss": 0.3142, |
|
"step": 6136 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.789302088639837, |
|
"eval_loss": 0.6063764691352844, |
|
"eval_runtime": 4.3943, |
|
"eval_samples_per_second": 2233.584, |
|
"eval_steps_per_second": 8.875, |
|
"step": 6136 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"grad_norm": 3.319906711578369, |
|
"learning_rate": 4.5e-05, |
|
"loss": 0.2419, |
|
"step": 7670 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.7875700458481916, |
|
"eval_loss": 0.6936997771263123, |
|
"eval_runtime": 4.3472, |
|
"eval_samples_per_second": 2257.795, |
|
"eval_steps_per_second": 8.971, |
|
"step": 7670 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"grad_norm": 3.0567739009857178, |
|
"learning_rate": 4.4000000000000006e-05, |
|
"loss": 0.1866, |
|
"step": 9204 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.7874681609780948, |
|
"eval_loss": 0.7424802184104919, |
|
"eval_runtime": 4.3189, |
|
"eval_samples_per_second": 2272.577, |
|
"eval_steps_per_second": 9.03, |
|
"step": 9204 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"grad_norm": 3.2307686805725098, |
|
"learning_rate": 4.3e-05, |
|
"loss": 0.1483, |
|
"step": 10738 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.7881813550687723, |
|
"eval_loss": 0.7587445974349976, |
|
"eval_runtime": 4.2598, |
|
"eval_samples_per_second": 2304.108, |
|
"eval_steps_per_second": 9.155, |
|
"step": 10738 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"step": 10738, |
|
"total_flos": 1.8207399032776397e+17, |
|
"train_loss": 0.3593115150251298, |
|
"train_runtime": 2646.1923, |
|
"train_samples_per_second": 7420.134, |
|
"train_steps_per_second": 28.985 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 76700, |
|
"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": 1.8207399032776397e+17, |
|
"train_batch_size": 256, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|