|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 2.277904328018223, |
|
"eval_steps": 200, |
|
"global_step": 2000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.22779043280182232, |
|
"eval_loss": 2.7455391883850098, |
|
"eval_runtime": 186.8417, |
|
"eval_samples_per_second": 37.583, |
|
"eval_steps_per_second": 4.699, |
|
"eval_wer": 1.0, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.45558086560364464, |
|
"eval_loss": 1.1437467336654663, |
|
"eval_runtime": 180.9385, |
|
"eval_samples_per_second": 38.809, |
|
"eval_steps_per_second": 4.852, |
|
"eval_wer": 0.7405758779680836, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.5694760820045558, |
|
"grad_norm": 1.8708776235580444, |
|
"learning_rate": 0.0002508333333333333, |
|
"loss": 2.6988, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.683371298405467, |
|
"eval_loss": 0.7285588979721069, |
|
"eval_runtime": 182.6087, |
|
"eval_samples_per_second": 38.454, |
|
"eval_steps_per_second": 4.808, |
|
"eval_wer": 0.5377164192986885, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.9111617312072893, |
|
"eval_loss": 0.6604043245315552, |
|
"eval_runtime": 181.72, |
|
"eval_samples_per_second": 38.642, |
|
"eval_steps_per_second": 4.832, |
|
"eval_wer": 0.4896557222392006, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 1.1389521640091116, |
|
"grad_norm": 0.762070894241333, |
|
"learning_rate": 0.00016849999999999998, |
|
"loss": 0.8304, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 1.1389521640091116, |
|
"eval_loss": 0.5619407892227173, |
|
"eval_runtime": 181.9456, |
|
"eval_samples_per_second": 38.594, |
|
"eval_steps_per_second": 4.826, |
|
"eval_wer": 0.4338617308228916, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 1.366742596810934, |
|
"eval_loss": 0.5691641569137573, |
|
"eval_runtime": 182.4948, |
|
"eval_samples_per_second": 38.478, |
|
"eval_steps_per_second": 4.811, |
|
"eval_wer": 0.4244675055475093, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 1.5945330296127562, |
|
"eval_loss": 0.563896656036377, |
|
"eval_runtime": 182.6815, |
|
"eval_samples_per_second": 38.438, |
|
"eval_steps_per_second": 4.806, |
|
"eval_wer": 0.4210260566842504, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 1.7084282460136673, |
|
"grad_norm": 4.044058322906494, |
|
"learning_rate": 8.566666666666666e-05, |
|
"loss": 0.71, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 1.8223234624145785, |
|
"eval_loss": 0.5502046346664429, |
|
"eval_runtime": 183.2379, |
|
"eval_samples_per_second": 38.322, |
|
"eval_steps_per_second": 4.792, |
|
"eval_wer": 0.4186476036088707, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 2.050113895216401, |
|
"eval_loss": 0.5441319942474365, |
|
"eval_runtime": 182.7119, |
|
"eval_samples_per_second": 38.432, |
|
"eval_steps_per_second": 4.805, |
|
"eval_wer": 0.4073266984679573, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 2.277904328018223, |
|
"grad_norm": 9.03835678100586, |
|
"learning_rate": 2.4999999999999998e-06, |
|
"loss": 0.6605, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 2.277904328018223, |
|
"eval_loss": 0.5418316721916199, |
|
"eval_runtime": 182.4712, |
|
"eval_samples_per_second": 38.483, |
|
"eval_steps_per_second": 4.812, |
|
"eval_wer": 0.3990751936645451, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 2.277904328018223, |
|
"step": 2000, |
|
"total_flos": 7.50335828249239e+18, |
|
"train_loss": 1.2249342193603516, |
|
"train_runtime": 3791.7318, |
|
"train_samples_per_second": 16.879, |
|
"train_steps_per_second": 0.527 |
|
} |
|
], |
|
"logging_steps": 500, |
|
"max_steps": 2000, |
|
"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": 7.50335828249239e+18, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|