|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 2.909090909090909, |
|
"eval_steps": 500, |
|
"global_step": 72, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.04040404040404041, |
|
"grad_norm": 2.354057369065775, |
|
"learning_rate": 2.5e-05, |
|
"loss": 3.6821, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.20202020202020202, |
|
"grad_norm": 3.318817777883566, |
|
"learning_rate": 0.000125, |
|
"loss": 3.6411, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.40404040404040403, |
|
"grad_norm": 1.1567295340838406, |
|
"learning_rate": 0.0001995184726672197, |
|
"loss": 2.3671, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.6060606060606061, |
|
"grad_norm": 0.5651519215666836, |
|
"learning_rate": 0.00019415440651830208, |
|
"loss": 1.478, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.8080808080808081, |
|
"grad_norm": 0.4028700304940561, |
|
"learning_rate": 0.00018314696123025454, |
|
"loss": 1.3252, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.9696969696969697, |
|
"eval_loss": 1.1692708730697632, |
|
"eval_runtime": 177.3352, |
|
"eval_samples_per_second": 35.644, |
|
"eval_steps_per_second": 2.233, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 1.0101010101010102, |
|
"grad_norm": 0.3079834505872443, |
|
"learning_rate": 0.00016715589548470185, |
|
"loss": 1.2706, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 1.2121212121212122, |
|
"grad_norm": 0.25648814038671125, |
|
"learning_rate": 0.0001471396736825998, |
|
"loss": 1.1881, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 1.4141414141414141, |
|
"grad_norm": 0.2008341133631863, |
|
"learning_rate": 0.0001242980179903264, |
|
"loss": 1.1514, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 1.6161616161616161, |
|
"grad_norm": 0.1814019139468598, |
|
"learning_rate": 0.0001, |
|
"loss": 1.1815, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 1.8181818181818183, |
|
"grad_norm": 0.18331867012606626, |
|
"learning_rate": 7.570198200967362e-05, |
|
"loss": 1.1352, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 1.9797979797979797, |
|
"eval_loss": 1.0709240436553955, |
|
"eval_runtime": 175.2955, |
|
"eval_samples_per_second": 36.059, |
|
"eval_steps_per_second": 2.259, |
|
"step": 49 |
|
}, |
|
{ |
|
"epoch": 2.0202020202020203, |
|
"grad_norm": 0.2143290425477542, |
|
"learning_rate": 5.286032631740023e-05, |
|
"loss": 1.1283, |
|
"step": 50 |
|
}, |
|
{ |
|
"epoch": 2.2222222222222223, |
|
"grad_norm": 0.18532120253500695, |
|
"learning_rate": 3.2844104515298155e-05, |
|
"loss": 1.112, |
|
"step": 55 |
|
}, |
|
{ |
|
"epoch": 2.4242424242424243, |
|
"grad_norm": 0.19523394937897012, |
|
"learning_rate": 1.6853038769745467e-05, |
|
"loss": 1.1094, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 2.6262626262626263, |
|
"grad_norm": 0.19014746927385398, |
|
"learning_rate": 5.8455934816979305e-06, |
|
"loss": 1.1021, |
|
"step": 65 |
|
}, |
|
{ |
|
"epoch": 2.8282828282828283, |
|
"grad_norm": 0.1651175400452345, |
|
"learning_rate": 4.815273327803182e-07, |
|
"loss": 1.1558, |
|
"step": 70 |
|
}, |
|
{ |
|
"epoch": 2.909090909090909, |
|
"step": 72, |
|
"total_flos": 644347544469504.0, |
|
"train_loss": 0.0, |
|
"train_runtime": 0.0104, |
|
"train_samples_per_second": 1824024.464, |
|
"train_steps_per_second": 6925.579 |
|
} |
|
], |
|
"logging_steps": 5, |
|
"max_steps": 72, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 3, |
|
"save_steps": 25, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 644347544469504.0, |
|
"train_batch_size": 8, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|