|
{ |
|
"best_global_step": null, |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 10.0, |
|
"eval_steps": 500, |
|
"global_step": 10030, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.9970089730807578, |
|
"grad_norm": 13791.8017578125, |
|
"learning_rate": 0.0005993999999999999, |
|
"loss": 1.2252, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 1.0, |
|
"eval_accuracy": 0.18732381009853702, |
|
"eval_loss": 4.833001136779785, |
|
"eval_runtime": 4.3793, |
|
"eval_samples_per_second": 51.835, |
|
"eval_steps_per_second": 1.827, |
|
"step": 1003 |
|
}, |
|
{ |
|
"epoch": 1.9940179461615155, |
|
"grad_norm": 38028.28125, |
|
"learning_rate": 0.0005336212624584717, |
|
"loss": 1.104, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 2.0, |
|
"eval_accuracy": 0.19786718622033328, |
|
"eval_loss": 4.691581726074219, |
|
"eval_runtime": 3.8992, |
|
"eval_samples_per_second": 58.218, |
|
"eval_steps_per_second": 2.052, |
|
"step": 2006 |
|
}, |
|
{ |
|
"epoch": 2.991026919242273, |
|
"grad_norm": 34522.31640625, |
|
"learning_rate": 0.0004671760797342192, |
|
"loss": 1.0865, |
|
"step": 3000 |
|
}, |
|
{ |
|
"epoch": 3.0, |
|
"eval_accuracy": 0.20838469960430012, |
|
"eval_loss": 4.60223913192749, |
|
"eval_runtime": 3.82, |
|
"eval_samples_per_second": 59.424, |
|
"eval_steps_per_second": 2.094, |
|
"step": 3009 |
|
}, |
|
{ |
|
"epoch": 3.988035892323031, |
|
"grad_norm": 9552.4384765625, |
|
"learning_rate": 0.00040073089700996676, |
|
"loss": 1.0446, |
|
"step": 4000 |
|
}, |
|
{ |
|
"epoch": 4.0, |
|
"eval_accuracy": 0.24390285955671268, |
|
"eval_loss": 4.333094596862793, |
|
"eval_runtime": 3.8108, |
|
"eval_samples_per_second": 59.568, |
|
"eval_steps_per_second": 2.099, |
|
"step": 4012 |
|
}, |
|
{ |
|
"epoch": 4.985044865403789, |
|
"grad_norm": 7808.9814453125, |
|
"learning_rate": 0.00033428571428571426, |
|
"loss": 0.9806, |
|
"step": 5000 |
|
}, |
|
{ |
|
"epoch": 5.0, |
|
"eval_accuracy": 0.26604136313870186, |
|
"eval_loss": 4.115571022033691, |
|
"eval_runtime": 3.7314, |
|
"eval_samples_per_second": 60.836, |
|
"eval_steps_per_second": 2.144, |
|
"step": 5015 |
|
}, |
|
{ |
|
"epoch": 5.982053838484546, |
|
"grad_norm": 7799.94580078125, |
|
"learning_rate": 0.00026784053156146177, |
|
"loss": 0.9375, |
|
"step": 6000 |
|
}, |
|
{ |
|
"epoch": 6.0, |
|
"eval_accuracy": 0.2841539005319103, |
|
"eval_loss": 3.9862992763519287, |
|
"eval_runtime": 3.7749, |
|
"eval_samples_per_second": 60.134, |
|
"eval_steps_per_second": 2.119, |
|
"step": 6018 |
|
}, |
|
{ |
|
"epoch": 6.979062811565304, |
|
"grad_norm": 7969.98388671875, |
|
"learning_rate": 0.00020139534883720927, |
|
"loss": 0.9074, |
|
"step": 7000 |
|
}, |
|
{ |
|
"epoch": 7.0, |
|
"eval_accuracy": 0.2942231264601671, |
|
"eval_loss": 3.9006783962249756, |
|
"eval_runtime": 3.758, |
|
"eval_samples_per_second": 60.405, |
|
"eval_steps_per_second": 2.129, |
|
"step": 7021 |
|
}, |
|
{ |
|
"epoch": 7.976071784646062, |
|
"grad_norm": 8524.130859375, |
|
"learning_rate": 0.0001349501661129568, |
|
"loss": 0.8839, |
|
"step": 8000 |
|
}, |
|
{ |
|
"epoch": 8.0, |
|
"eval_accuracy": 0.3046802934558652, |
|
"eval_loss": 3.8308379650115967, |
|
"eval_runtime": 3.7591, |
|
"eval_samples_per_second": 60.388, |
|
"eval_steps_per_second": 2.128, |
|
"step": 8024 |
|
}, |
|
{ |
|
"epoch": 8.97308075772682, |
|
"grad_norm": 8583.34375, |
|
"learning_rate": 6.850498338870431e-05, |
|
"loss": 0.867, |
|
"step": 9000 |
|
}, |
|
{ |
|
"epoch": 9.0, |
|
"eval_accuracy": 0.31158564445632214, |
|
"eval_loss": 3.7815797328948975, |
|
"eval_runtime": 3.7451, |
|
"eval_samples_per_second": 60.613, |
|
"eval_steps_per_second": 2.136, |
|
"step": 9027 |
|
}, |
|
{ |
|
"epoch": 9.970089730807578, |
|
"grad_norm": 8688.66796875, |
|
"learning_rate": 2.0598006644518273e-06, |
|
"loss": 0.8541, |
|
"step": 10000 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"eval_accuracy": 0.3152495323154909, |
|
"eval_loss": 3.7565455436706543, |
|
"eval_runtime": 3.716, |
|
"eval_samples_per_second": 61.087, |
|
"eval_steps_per_second": 2.153, |
|
"step": 10030 |
|
}, |
|
{ |
|
"epoch": 10.0, |
|
"step": 10030, |
|
"total_flos": 8.379374174208e+16, |
|
"train_loss": 0.9887108649713092, |
|
"train_runtime": 9029.3583, |
|
"train_samples_per_second": 35.516, |
|
"train_steps_per_second": 1.111 |
|
} |
|
], |
|
"logging_steps": 1000, |
|
"max_steps": 10030, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 10, |
|
"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": 8.379374174208e+16, |
|
"train_batch_size": 32, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|