|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.025518341307814992, |
|
"eval_steps": 5, |
|
"global_step": 15, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0017012227538543328, |
|
"grad_norm": 0.2222743034362793, |
|
"learning_rate": 1e-05, |
|
"loss": 0.7053, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0017012227538543328, |
|
"eval_loss": 0.7156262993812561, |
|
"eval_runtime": 207.1392, |
|
"eval_samples_per_second": 4.779, |
|
"eval_steps_per_second": 2.39, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.0034024455077086655, |
|
"grad_norm": 0.2363133579492569, |
|
"learning_rate": 2e-05, |
|
"loss": 0.7089, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.005103668261562998, |
|
"grad_norm": 0.2022981345653534, |
|
"learning_rate": 3e-05, |
|
"loss": 0.671, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.006804891015417331, |
|
"grad_norm": 0.22789953649044037, |
|
"learning_rate": 4e-05, |
|
"loss": 0.6883, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.008506113769271665, |
|
"grad_norm": 0.21427476406097412, |
|
"learning_rate": 5e-05, |
|
"loss": 0.6774, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.008506113769271665, |
|
"eval_loss": 0.7012587785720825, |
|
"eval_runtime": 115.8496, |
|
"eval_samples_per_second": 8.546, |
|
"eval_steps_per_second": 4.273, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.010207336523125997, |
|
"grad_norm": 0.26034078001976013, |
|
"learning_rate": 6e-05, |
|
"loss": 0.6896, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.01190855927698033, |
|
"grad_norm": 0.24086257815361023, |
|
"learning_rate": 7e-05, |
|
"loss": 0.6932, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 0.013609782030834662, |
|
"grad_norm": 0.26397573947906494, |
|
"learning_rate": 8e-05, |
|
"loss": 0.6424, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.015311004784688996, |
|
"grad_norm": 0.2352258712053299, |
|
"learning_rate": 9e-05, |
|
"loss": 0.6817, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.01701222753854333, |
|
"grad_norm": 0.23862141370773315, |
|
"learning_rate": 0.0001, |
|
"loss": 0.6594, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.01701222753854333, |
|
"eval_loss": 0.6520625948905945, |
|
"eval_runtime": 118.9382, |
|
"eval_samples_per_second": 8.324, |
|
"eval_steps_per_second": 4.162, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.01871345029239766, |
|
"grad_norm": 0.24725323915481567, |
|
"learning_rate": 9.755282581475769e-05, |
|
"loss": 0.6413, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 0.020414673046251993, |
|
"grad_norm": 0.27775460481643677, |
|
"learning_rate": 9.045084971874738e-05, |
|
"loss": 0.6196, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.022115895800106325, |
|
"grad_norm": 0.30574458837509155, |
|
"learning_rate": 7.938926261462366e-05, |
|
"loss": 0.6392, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 0.02381711855396066, |
|
"grad_norm": 0.30146658420562744, |
|
"learning_rate": 6.545084971874738e-05, |
|
"loss": 0.6196, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 0.025518341307814992, |
|
"grad_norm": 0.27085185050964355, |
|
"learning_rate": 5e-05, |
|
"loss": 0.6135, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.025518341307814992, |
|
"eval_loss": 0.6110671162605286, |
|
"eval_runtime": 118.9415, |
|
"eval_samples_per_second": 8.323, |
|
"eval_steps_per_second": 4.162, |
|
"step": 15 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 20, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 5, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 1.826444695044096e+16, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|