|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.22857142857142856, |
|
"eval_steps": 4, |
|
"global_step": 50, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.004571428571428572, |
|
"grad_norm": NaN, |
|
"learning_rate": 2e-05, |
|
"loss": 0.0, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.004571428571428572, |
|
"eval_loss": NaN, |
|
"eval_runtime": 5.3028, |
|
"eval_samples_per_second": 17.538, |
|
"eval_steps_per_second": 8.863, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.009142857142857144, |
|
"grad_norm": NaN, |
|
"learning_rate": 4e-05, |
|
"loss": 0.0, |
|
"step": 2 |
|
}, |
|
{ |
|
"epoch": 0.013714285714285714, |
|
"grad_norm": NaN, |
|
"learning_rate": 6e-05, |
|
"loss": 0.0, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.018285714285714287, |
|
"grad_norm": NaN, |
|
"learning_rate": 8e-05, |
|
"loss": 0.0, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.018285714285714287, |
|
"eval_loss": NaN, |
|
"eval_runtime": 4.0599, |
|
"eval_samples_per_second": 22.907, |
|
"eval_steps_per_second": 11.577, |
|
"step": 4 |
|
}, |
|
{ |
|
"epoch": 0.022857142857142857, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.0001, |
|
"loss": 0.0, |
|
"step": 5 |
|
}, |
|
{ |
|
"epoch": 0.027428571428571427, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00012, |
|
"loss": 0.0, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.032, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00014, |
|
"loss": 0.0, |
|
"step": 7 |
|
}, |
|
{ |
|
"epoch": 0.036571428571428574, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00016, |
|
"loss": 0.0, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.036571428571428574, |
|
"eval_loss": NaN, |
|
"eval_runtime": 4.0771, |
|
"eval_samples_per_second": 22.811, |
|
"eval_steps_per_second": 11.528, |
|
"step": 8 |
|
}, |
|
{ |
|
"epoch": 0.04114285714285714, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00018, |
|
"loss": 0.0, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.045714285714285714, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.0002, |
|
"loss": 0.0, |
|
"step": 10 |
|
}, |
|
{ |
|
"epoch": 0.05028571428571429, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.0001996917333733128, |
|
"loss": 0.0, |
|
"step": 11 |
|
}, |
|
{ |
|
"epoch": 0.054857142857142854, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00019876883405951377, |
|
"loss": 0.0, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.054857142857142854, |
|
"eval_loss": NaN, |
|
"eval_runtime": 4.0449, |
|
"eval_samples_per_second": 22.992, |
|
"eval_steps_per_second": 11.62, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.05942857142857143, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00019723699203976766, |
|
"loss": 0.0, |
|
"step": 13 |
|
}, |
|
{ |
|
"epoch": 0.064, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00019510565162951537, |
|
"loss": 0.0, |
|
"step": 14 |
|
}, |
|
{ |
|
"epoch": 0.06857142857142857, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.0001923879532511287, |
|
"loss": 0.0, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.07314285714285715, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.0001891006524188368, |
|
"loss": 0.0, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 0.07314285714285715, |
|
"eval_loss": NaN, |
|
"eval_runtime": 4.0629, |
|
"eval_samples_per_second": 22.89, |
|
"eval_steps_per_second": 11.568, |
|
"step": 16 |
|
}, |
|
{ |
|
"epoch": 0.07771428571428571, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00018526401643540922, |
|
"loss": 0.0, |
|
"step": 17 |
|
}, |
|
{ |
|
"epoch": 0.08228571428571428, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00018090169943749476, |
|
"loss": 0.0, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.08685714285714285, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.0001760405965600031, |
|
"loss": 0.0, |
|
"step": 19 |
|
}, |
|
{ |
|
"epoch": 0.09142857142857143, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00017071067811865476, |
|
"loss": 0.0, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.09142857142857143, |
|
"eval_loss": NaN, |
|
"eval_runtime": 4.0605, |
|
"eval_samples_per_second": 22.904, |
|
"eval_steps_per_second": 11.575, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.096, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00016494480483301836, |
|
"loss": 0.0, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.10057142857142858, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00015877852522924732, |
|
"loss": 0.0, |
|
"step": 22 |
|
}, |
|
{ |
|
"epoch": 0.10514285714285715, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.0001522498564715949, |
|
"loss": 0.0, |
|
"step": 23 |
|
}, |
|
{ |
|
"epoch": 0.10971428571428571, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00014539904997395468, |
|
"loss": 0.0, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.10971428571428571, |
|
"eval_loss": NaN, |
|
"eval_runtime": 4.0909, |
|
"eval_samples_per_second": 22.733, |
|
"eval_steps_per_second": 11.489, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.11428571428571428, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.000138268343236509, |
|
"loss": 0.0, |
|
"step": 25 |
|
}, |
|
{ |
|
"epoch": 0.11885714285714286, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00013090169943749476, |
|
"loss": 0.0, |
|
"step": 26 |
|
}, |
|
{ |
|
"epoch": 0.12342857142857143, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.00012334453638559057, |
|
"loss": 0.0, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.128, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.0001156434465040231, |
|
"loss": 0.0, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 0.128, |
|
"eval_loss": NaN, |
|
"eval_runtime": 4.0737, |
|
"eval_samples_per_second": 22.829, |
|
"eval_steps_per_second": 11.537, |
|
"step": 28 |
|
}, |
|
{ |
|
"epoch": 0.13257142857142856, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.0001078459095727845, |
|
"loss": 0.0, |
|
"step": 29 |
|
}, |
|
{ |
|
"epoch": 0.13714285714285715, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.0001, |
|
"loss": 0.0, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.1417142857142857, |
|
"grad_norm": NaN, |
|
"learning_rate": 9.215409042721552e-05, |
|
"loss": 0.0, |
|
"step": 31 |
|
}, |
|
{ |
|
"epoch": 0.1462857142857143, |
|
"grad_norm": NaN, |
|
"learning_rate": 8.435655349597689e-05, |
|
"loss": 0.0, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 0.1462857142857143, |
|
"eval_loss": NaN, |
|
"eval_runtime": 4.0607, |
|
"eval_samples_per_second": 22.903, |
|
"eval_steps_per_second": 11.574, |
|
"step": 32 |
|
}, |
|
{ |
|
"epoch": 0.15085714285714286, |
|
"grad_norm": NaN, |
|
"learning_rate": 7.66554636144095e-05, |
|
"loss": 0.0, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 0.15542857142857142, |
|
"grad_norm": NaN, |
|
"learning_rate": 6.909830056250527e-05, |
|
"loss": 0.0, |
|
"step": 34 |
|
}, |
|
{ |
|
"epoch": 0.16, |
|
"grad_norm": NaN, |
|
"learning_rate": 6.173165676349103e-05, |
|
"loss": 0.0, |
|
"step": 35 |
|
}, |
|
{ |
|
"epoch": 0.16457142857142856, |
|
"grad_norm": NaN, |
|
"learning_rate": 5.4600950026045326e-05, |
|
"loss": 0.0, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 0.16457142857142856, |
|
"eval_loss": NaN, |
|
"eval_runtime": 4.0438, |
|
"eval_samples_per_second": 22.998, |
|
"eval_steps_per_second": 11.623, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 0.16914285714285715, |
|
"grad_norm": NaN, |
|
"learning_rate": 4.7750143528405126e-05, |
|
"loss": 0.0, |
|
"step": 37 |
|
}, |
|
{ |
|
"epoch": 0.1737142857142857, |
|
"grad_norm": NaN, |
|
"learning_rate": 4.12214747707527e-05, |
|
"loss": 0.0, |
|
"step": 38 |
|
}, |
|
{ |
|
"epoch": 0.1782857142857143, |
|
"grad_norm": NaN, |
|
"learning_rate": 3.5055195166981645e-05, |
|
"loss": 0.0, |
|
"step": 39 |
|
}, |
|
{ |
|
"epoch": 0.18285714285714286, |
|
"grad_norm": NaN, |
|
"learning_rate": 2.9289321881345254e-05, |
|
"loss": 0.0, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.18285714285714286, |
|
"eval_loss": NaN, |
|
"eval_runtime": 4.0452, |
|
"eval_samples_per_second": 22.99, |
|
"eval_steps_per_second": 11.619, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.18742857142857142, |
|
"grad_norm": NaN, |
|
"learning_rate": 2.3959403439996907e-05, |
|
"loss": 0.0, |
|
"step": 41 |
|
}, |
|
{ |
|
"epoch": 0.192, |
|
"grad_norm": NaN, |
|
"learning_rate": 1.9098300562505266e-05, |
|
"loss": 0.0, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 0.19657142857142856, |
|
"grad_norm": NaN, |
|
"learning_rate": 1.4735983564590783e-05, |
|
"loss": 0.0, |
|
"step": 43 |
|
}, |
|
{ |
|
"epoch": 0.20114285714285715, |
|
"grad_norm": NaN, |
|
"learning_rate": 1.0899347581163221e-05, |
|
"loss": 0.0, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 0.20114285714285715, |
|
"eval_loss": NaN, |
|
"eval_runtime": 4.0451, |
|
"eval_samples_per_second": 22.991, |
|
"eval_steps_per_second": 11.619, |
|
"step": 44 |
|
}, |
|
{ |
|
"epoch": 0.2057142857142857, |
|
"grad_norm": NaN, |
|
"learning_rate": 7.612046748871327e-06, |
|
"loss": 0.0, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.2102857142857143, |
|
"grad_norm": NaN, |
|
"learning_rate": 4.8943483704846475e-06, |
|
"loss": 0.0, |
|
"step": 46 |
|
}, |
|
{ |
|
"epoch": 0.21485714285714286, |
|
"grad_norm": NaN, |
|
"learning_rate": 2.7630079602323442e-06, |
|
"loss": 0.0, |
|
"step": 47 |
|
}, |
|
{ |
|
"epoch": 0.21942857142857142, |
|
"grad_norm": NaN, |
|
"learning_rate": 1.231165940486234e-06, |
|
"loss": 0.0, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 0.21942857142857142, |
|
"eval_loss": NaN, |
|
"eval_runtime": 4.0555, |
|
"eval_samples_per_second": 22.932, |
|
"eval_steps_per_second": 11.589, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 0.224, |
|
"grad_norm": NaN, |
|
"learning_rate": 3.0826662668720364e-07, |
|
"loss": 0.0, |
|
"step": 49 |
|
}, |
|
{ |
|
"epoch": 0.22857142857142856, |
|
"grad_norm": NaN, |
|
"learning_rate": 0.0, |
|
"loss": 0.0, |
|
"step": 50 |
|
} |
|
], |
|
"logging_steps": 1, |
|
"max_steps": 50, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 4, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": true |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 6531344184115200.0, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|