|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.4878048780487805, |
|
"eval_steps": 500, |
|
"global_step": 400, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.024390243902439025, |
|
"grad_norm": 0.21254414319992065, |
|
"learning_rate": 0.00019631901840490797, |
|
"loss": 2.6924, |
|
"step": 20 |
|
}, |
|
{ |
|
"epoch": 0.04878048780487805, |
|
"grad_norm": 0.15234693884849548, |
|
"learning_rate": 0.0001914110429447853, |
|
"loss": 2.395, |
|
"step": 40 |
|
}, |
|
{ |
|
"epoch": 0.07317073170731707, |
|
"grad_norm": 0.14660173654556274, |
|
"learning_rate": 0.00018650306748466258, |
|
"loss": 2.3598, |
|
"step": 60 |
|
}, |
|
{ |
|
"epoch": 0.0975609756097561, |
|
"grad_norm": 0.1487397700548172, |
|
"learning_rate": 0.00018159509202453987, |
|
"loss": 2.3004, |
|
"step": 80 |
|
}, |
|
{ |
|
"epoch": 0.12195121951219512, |
|
"grad_norm": 0.1340309977531433, |
|
"learning_rate": 0.0001766871165644172, |
|
"loss": 2.2839, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.14634146341463414, |
|
"grad_norm": 0.16995489597320557, |
|
"learning_rate": 0.0001717791411042945, |
|
"loss": 2.2511, |
|
"step": 120 |
|
}, |
|
{ |
|
"epoch": 0.17073170731707318, |
|
"grad_norm": 0.19542120397090912, |
|
"learning_rate": 0.00016687116564417177, |
|
"loss": 2.3543, |
|
"step": 140 |
|
}, |
|
{ |
|
"epoch": 0.1951219512195122, |
|
"grad_norm": 0.1439371407032013, |
|
"learning_rate": 0.00016196319018404909, |
|
"loss": 2.2475, |
|
"step": 160 |
|
}, |
|
{ |
|
"epoch": 0.21951219512195122, |
|
"grad_norm": 0.20567895472049713, |
|
"learning_rate": 0.0001570552147239264, |
|
"loss": 2.2536, |
|
"step": 180 |
|
}, |
|
{ |
|
"epoch": 0.24390243902439024, |
|
"grad_norm": 0.16278642416000366, |
|
"learning_rate": 0.0001521472392638037, |
|
"loss": 2.3064, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.2682926829268293, |
|
"grad_norm": 0.1587420403957367, |
|
"learning_rate": 0.00014723926380368098, |
|
"loss": 2.2682, |
|
"step": 220 |
|
}, |
|
{ |
|
"epoch": 0.2926829268292683, |
|
"grad_norm": 0.13855259120464325, |
|
"learning_rate": 0.00014233128834355828, |
|
"loss": 2.2584, |
|
"step": 240 |
|
}, |
|
{ |
|
"epoch": 0.3170731707317073, |
|
"grad_norm": 0.17585845291614532, |
|
"learning_rate": 0.0001374233128834356, |
|
"loss": 2.2395, |
|
"step": 260 |
|
}, |
|
{ |
|
"epoch": 0.34146341463414637, |
|
"grad_norm": 0.14558349549770355, |
|
"learning_rate": 0.00013251533742331288, |
|
"loss": 2.2272, |
|
"step": 280 |
|
}, |
|
{ |
|
"epoch": 0.36585365853658536, |
|
"grad_norm": 0.14745678007602692, |
|
"learning_rate": 0.00012760736196319017, |
|
"loss": 2.2415, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.3902439024390244, |
|
"grad_norm": 0.1681157350540161, |
|
"learning_rate": 0.0001226993865030675, |
|
"loss": 2.2406, |
|
"step": 320 |
|
}, |
|
{ |
|
"epoch": 0.4146341463414634, |
|
"grad_norm": 0.15694855153560638, |
|
"learning_rate": 0.0001177914110429448, |
|
"loss": 2.2975, |
|
"step": 340 |
|
}, |
|
{ |
|
"epoch": 0.43902439024390244, |
|
"grad_norm": 0.1510026901960373, |
|
"learning_rate": 0.00011288343558282209, |
|
"loss": 2.1714, |
|
"step": 360 |
|
}, |
|
{ |
|
"epoch": 0.4634146341463415, |
|
"grad_norm": 0.14791268110275269, |
|
"learning_rate": 0.00010797546012269939, |
|
"loss": 2.294, |
|
"step": 380 |
|
}, |
|
{ |
|
"epoch": 0.4878048780487805, |
|
"grad_norm": 0.1750643402338028, |
|
"learning_rate": 0.0001030674846625767, |
|
"loss": 2.3125, |
|
"step": 400 |
|
} |
|
], |
|
"logging_steps": 20, |
|
"max_steps": 820, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 200, |
|
"stateful_callbacks": { |
|
"TrainerControl": { |
|
"args": { |
|
"should_epoch_stop": false, |
|
"should_evaluate": false, |
|
"should_log": false, |
|
"should_save": true, |
|
"should_training_stop": false |
|
}, |
|
"attributes": {} |
|
} |
|
}, |
|
"total_flos": 9.654947807232e+16, |
|
"train_batch_size": 2, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|