|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.6101694915254238, |
|
"eval_steps": 9, |
|
"global_step": 99, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.0061633281972265025, |
|
"eval_loss": NaN, |
|
"eval_runtime": 2.6376, |
|
"eval_samples_per_second": 51.942, |
|
"eval_steps_per_second": 13.27, |
|
"step": 1 |
|
}, |
|
{ |
|
"epoch": 0.01848998459167951, |
|
"grad_norm": NaN, |
|
"learning_rate": 3e-05, |
|
"loss": 0.0, |
|
"step": 3 |
|
}, |
|
{ |
|
"epoch": 0.03697996918335902, |
|
"grad_norm": NaN, |
|
"learning_rate": 6e-05, |
|
"loss": 0.0, |
|
"step": 6 |
|
}, |
|
{ |
|
"epoch": 0.05546995377503852, |
|
"grad_norm": NaN, |
|
"learning_rate": 9e-05, |
|
"loss": 0.0, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.05546995377503852, |
|
"eval_loss": NaN, |
|
"eval_runtime": 2.2322, |
|
"eval_samples_per_second": 61.375, |
|
"eval_steps_per_second": 15.68, |
|
"step": 9 |
|
}, |
|
{ |
|
"epoch": 0.07395993836671803, |
|
"grad_norm": NaN, |
|
"learning_rate": 9.987820251299122e-05, |
|
"loss": 0.0, |
|
"step": 12 |
|
}, |
|
{ |
|
"epoch": 0.09244992295839753, |
|
"grad_norm": NaN, |
|
"learning_rate": 9.924038765061042e-05, |
|
"loss": 0.0, |
|
"step": 15 |
|
}, |
|
{ |
|
"epoch": 0.11093990755007704, |
|
"grad_norm": NaN, |
|
"learning_rate": 9.806308479691595e-05, |
|
"loss": 0.0, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.11093990755007704, |
|
"eval_loss": NaN, |
|
"eval_runtime": 2.2477, |
|
"eval_samples_per_second": 60.952, |
|
"eval_steps_per_second": 15.572, |
|
"step": 18 |
|
}, |
|
{ |
|
"epoch": 0.12942989214175654, |
|
"grad_norm": NaN, |
|
"learning_rate": 9.635919272833938e-05, |
|
"loss": 0.0, |
|
"step": 21 |
|
}, |
|
{ |
|
"epoch": 0.14791987673343607, |
|
"grad_norm": NaN, |
|
"learning_rate": 9.414737964294636e-05, |
|
"loss": 0.0, |
|
"step": 24 |
|
}, |
|
{ |
|
"epoch": 0.16640986132511557, |
|
"grad_norm": NaN, |
|
"learning_rate": 9.145187862775209e-05, |
|
"loss": 0.0, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.16640986132511557, |
|
"eval_loss": NaN, |
|
"eval_runtime": 2.2706, |
|
"eval_samples_per_second": 60.337, |
|
"eval_steps_per_second": 15.415, |
|
"step": 27 |
|
}, |
|
{ |
|
"epoch": 0.18489984591679506, |
|
"grad_norm": NaN, |
|
"learning_rate": 8.83022221559489e-05, |
|
"loss": 0.0, |
|
"step": 30 |
|
}, |
|
{ |
|
"epoch": 0.2033898305084746, |
|
"grad_norm": NaN, |
|
"learning_rate": 8.473291852294987e-05, |
|
"loss": 0.0, |
|
"step": 33 |
|
}, |
|
{ |
|
"epoch": 0.2218798151001541, |
|
"grad_norm": NaN, |
|
"learning_rate": 8.07830737662829e-05, |
|
"loss": 0.0, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 0.2218798151001541, |
|
"eval_loss": NaN, |
|
"eval_runtime": 2.2512, |
|
"eval_samples_per_second": 60.858, |
|
"eval_steps_per_second": 15.548, |
|
"step": 36 |
|
}, |
|
{ |
|
"epoch": 0.24036979969183359, |
|
"grad_norm": NaN, |
|
"learning_rate": 7.649596321166024e-05, |
|
"loss": 0.0, |
|
"step": 39 |
|
}, |
|
{ |
|
"epoch": 0.2588597842835131, |
|
"grad_norm": NaN, |
|
"learning_rate": 7.191855733945387e-05, |
|
"loss": 0.0, |
|
"step": 42 |
|
}, |
|
{ |
|
"epoch": 0.2773497688751926, |
|
"grad_norm": NaN, |
|
"learning_rate": 6.710100716628344e-05, |
|
"loss": 0.0, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.2773497688751926, |
|
"eval_loss": NaN, |
|
"eval_runtime": 2.254, |
|
"eval_samples_per_second": 60.78, |
|
"eval_steps_per_second": 15.528, |
|
"step": 45 |
|
}, |
|
{ |
|
"epoch": 0.29583975346687214, |
|
"grad_norm": NaN, |
|
"learning_rate": 6.209609477998338e-05, |
|
"loss": 0.0, |
|
"step": 48 |
|
}, |
|
{ |
|
"epoch": 0.31432973805855163, |
|
"grad_norm": NaN, |
|
"learning_rate": 5.695865504800327e-05, |
|
"loss": 0.0, |
|
"step": 51 |
|
}, |
|
{ |
|
"epoch": 0.33281972265023113, |
|
"grad_norm": NaN, |
|
"learning_rate": 5.174497483512506e-05, |
|
"loss": 0.0, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 0.33281972265023113, |
|
"eval_loss": NaN, |
|
"eval_runtime": 2.2596, |
|
"eval_samples_per_second": 60.629, |
|
"eval_steps_per_second": 15.489, |
|
"step": 54 |
|
}, |
|
{ |
|
"epoch": 0.35130970724191063, |
|
"grad_norm": NaN, |
|
"learning_rate": 4.6512176312793736e-05, |
|
"loss": 0.0, |
|
"step": 57 |
|
}, |
|
{ |
|
"epoch": 0.3697996918335901, |
|
"grad_norm": NaN, |
|
"learning_rate": 4.131759111665349e-05, |
|
"loss": 0.0, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.3882896764252696, |
|
"grad_norm": NaN, |
|
"learning_rate": 3.6218132209150045e-05, |
|
"loss": 0.0, |
|
"step": 63 |
|
}, |
|
{ |
|
"epoch": 0.3882896764252696, |
|
"eval_loss": NaN, |
|
"eval_runtime": 2.2511, |
|
"eval_samples_per_second": 60.86, |
|
"eval_steps_per_second": 15.548, |
|
"step": 63 |
|
}, |
|
{ |
|
"epoch": 0.4067796610169492, |
|
"grad_norm": NaN, |
|
"learning_rate": 3.12696703292044e-05, |
|
"loss": 0.0, |
|
"step": 66 |
|
}, |
|
{ |
|
"epoch": 0.4252696456086287, |
|
"grad_norm": NaN, |
|
"learning_rate": 2.6526421860705473e-05, |
|
"loss": 0.0, |
|
"step": 69 |
|
}, |
|
{ |
|
"epoch": 0.4437596302003082, |
|
"grad_norm": NaN, |
|
"learning_rate": 2.2040354826462668e-05, |
|
"loss": 0.0, |
|
"step": 72 |
|
}, |
|
{ |
|
"epoch": 0.4437596302003082, |
|
"eval_loss": NaN, |
|
"eval_runtime": 2.2311, |
|
"eval_samples_per_second": 61.406, |
|
"eval_steps_per_second": 15.688, |
|
"step": 72 |
|
}, |
|
{ |
|
"epoch": 0.4622496147919877, |
|
"grad_norm": NaN, |
|
"learning_rate": 1.7860619515673033e-05, |
|
"loss": 0.0, |
|
"step": 75 |
|
}, |
|
{ |
|
"epoch": 0.48073959938366717, |
|
"grad_norm": NaN, |
|
"learning_rate": 1.4033009983067452e-05, |
|
"loss": 0.0, |
|
"step": 78 |
|
}, |
|
{ |
|
"epoch": 0.49922958397534667, |
|
"grad_norm": NaN, |
|
"learning_rate": 1.0599462319663905e-05, |
|
"loss": 0.0, |
|
"step": 81 |
|
}, |
|
{ |
|
"epoch": 0.49922958397534667, |
|
"eval_loss": NaN, |
|
"eval_runtime": 2.2511, |
|
"eval_samples_per_second": 60.858, |
|
"eval_steps_per_second": 15.548, |
|
"step": 81 |
|
}, |
|
{ |
|
"epoch": 0.5177195685670262, |
|
"grad_norm": NaN, |
|
"learning_rate": 7.597595192178702e-06, |
|
"loss": 0.0, |
|
"step": 84 |
|
}, |
|
{ |
|
"epoch": 0.5362095531587057, |
|
"grad_norm": NaN, |
|
"learning_rate": 5.060297685041659e-06, |
|
"loss": 0.0, |
|
"step": 87 |
|
}, |
|
{ |
|
"epoch": 0.5546995377503852, |
|
"grad_norm": NaN, |
|
"learning_rate": 3.0153689607045845e-06, |
|
"loss": 0.0, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.5546995377503852, |
|
"eval_loss": NaN, |
|
"eval_runtime": 2.2389, |
|
"eval_samples_per_second": 61.19, |
|
"eval_steps_per_second": 15.633, |
|
"step": 90 |
|
}, |
|
{ |
|
"epoch": 0.5731895223420647, |
|
"grad_norm": NaN, |
|
"learning_rate": 1.4852136862001764e-06, |
|
"loss": 0.0, |
|
"step": 93 |
|
}, |
|
{ |
|
"epoch": 0.5916795069337443, |
|
"grad_norm": NaN, |
|
"learning_rate": 4.865965629214819e-07, |
|
"loss": 0.0, |
|
"step": 96 |
|
}, |
|
{ |
|
"epoch": 0.6101694915254238, |
|
"grad_norm": NaN, |
|
"learning_rate": 3.04586490452119e-08, |
|
"loss": 0.0, |
|
"step": 99 |
|
}, |
|
{ |
|
"epoch": 0.6101694915254238, |
|
"eval_loss": NaN, |
|
"eval_runtime": 2.2387, |
|
"eval_samples_per_second": 61.197, |
|
"eval_steps_per_second": 15.634, |
|
"step": 99 |
|
} |
|
], |
|
"logging_steps": 3, |
|
"max_steps": 100, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 9, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 3893223025016832.0, |
|
"train_batch_size": 4, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|