|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 2.9673590504451037, |
|
"eval_steps": 200, |
|
"global_step": 1000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.29673590504451036, |
|
"grad_norm": 4.922755241394043, |
|
"learning_rate": 9.600000000000001e-06, |
|
"loss": 0.6132, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.5934718100890207, |
|
"grad_norm": 4.277930736541748, |
|
"learning_rate": 8.933333333333333e-06, |
|
"loss": 0.303, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.5934718100890207, |
|
"eval_loss": 0.24335336685180664, |
|
"eval_runtime": 493.5362, |
|
"eval_samples_per_second": 4.652, |
|
"eval_steps_per_second": 0.146, |
|
"eval_wer": 0.4226068014038485, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.8902077151335311, |
|
"grad_norm": 4.590033054351807, |
|
"learning_rate": 7.822222222222224e-06, |
|
"loss": 0.2564, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 1.1869436201780414, |
|
"grad_norm": 3.3569984436035156, |
|
"learning_rate": 6.711111111111111e-06, |
|
"loss": 0.2, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 1.1869436201780414, |
|
"eval_loss": 0.20352379977703094, |
|
"eval_runtime": 482.7378, |
|
"eval_samples_per_second": 4.756, |
|
"eval_steps_per_second": 0.149, |
|
"eval_wer": 0.39138327483964663, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 1.4836795252225519, |
|
"grad_norm": 3.2953569889068604, |
|
"learning_rate": 5.600000000000001e-06, |
|
"loss": 0.1637, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 1.7804154302670623, |
|
"grad_norm": 3.363754987716675, |
|
"learning_rate": 4.488888888888889e-06, |
|
"loss": 0.1633, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 1.7804154302670623, |
|
"eval_loss": 0.18764939904212952, |
|
"eval_runtime": 484.1747, |
|
"eval_samples_per_second": 4.742, |
|
"eval_steps_per_second": 0.149, |
|
"eval_wer": 0.3469079026987777, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 2.077151335311573, |
|
"grad_norm": 2.2284867763519287, |
|
"learning_rate": 3.377777777777778e-06, |
|
"loss": 0.1428, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 2.373887240356083, |
|
"grad_norm": 2.0610995292663574, |
|
"learning_rate": 2.266666666666667e-06, |
|
"loss": 0.106, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 2.373887240356083, |
|
"eval_loss": 0.18498285114765167, |
|
"eval_runtime": 480.7097, |
|
"eval_samples_per_second": 4.776, |
|
"eval_steps_per_second": 0.15, |
|
"eval_wer": 0.3487837347210456, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 2.6706231454005933, |
|
"grad_norm": 2.554095983505249, |
|
"learning_rate": 1.1555555555555556e-06, |
|
"loss": 0.1029, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 2.9673590504451037, |
|
"grad_norm": 2.727163314819336, |
|
"learning_rate": 4.444444444444445e-08, |
|
"loss": 0.1005, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 2.9673590504451037, |
|
"eval_loss": 0.18132926523685455, |
|
"eval_runtime": 479.4261, |
|
"eval_samples_per_second": 4.789, |
|
"eval_steps_per_second": 0.15, |
|
"eval_wer": 0.3367421033522934, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 2.9673590504451037, |
|
"step": 1000, |
|
"total_flos": 9.234732878187725e+18, |
|
"train_loss": 0.21518024158477783, |
|
"train_runtime": 7211.1645, |
|
"train_samples_per_second": 4.438, |
|
"train_steps_per_second": 0.139 |
|
} |
|
], |
|
"logging_steps": 100, |
|
"max_steps": 1000, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 500, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 9.234732878187725e+18, |
|
"train_batch_size": 16, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|