|
{ |
|
"best_metric": null, |
|
"best_model_checkpoint": null, |
|
"epoch": 0.1, |
|
"eval_steps": 2000, |
|
"global_step": 2000, |
|
"is_hyper_param_search": false, |
|
"is_local_process_zero": true, |
|
"is_world_process_zero": true, |
|
"log_history": [ |
|
{ |
|
"epoch": 0.01, |
|
"grad_norm": 12.253900527954102, |
|
"learning_rate": 9.8e-07, |
|
"loss": 0.3335, |
|
"step": 100 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"grad_norm": 9.193947792053223, |
|
"learning_rate": 9.9010101010101e-07, |
|
"loss": 0.2105, |
|
"step": 200 |
|
}, |
|
{ |
|
"epoch": 0.01, |
|
"grad_norm": 5.168125152587891, |
|
"learning_rate": 9.8e-07, |
|
"loss": 0.1618, |
|
"step": 300 |
|
}, |
|
{ |
|
"epoch": 0.02, |
|
"grad_norm": 2.163803815841675, |
|
"learning_rate": 9.698989898989898e-07, |
|
"loss": 0.1418, |
|
"step": 400 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"grad_norm": 10.751598358154297, |
|
"learning_rate": 9.597979797979797e-07, |
|
"loss": 0.1215, |
|
"step": 500 |
|
}, |
|
{ |
|
"epoch": 0.03, |
|
"grad_norm": 7.5342793464660645, |
|
"learning_rate": 9.496969696969696e-07, |
|
"loss": 0.1142, |
|
"step": 600 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"grad_norm": 8.430835723876953, |
|
"learning_rate": 9.395959595959596e-07, |
|
"loss": 0.121, |
|
"step": 700 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"grad_norm": 1.8440964221954346, |
|
"learning_rate": 9.295959595959596e-07, |
|
"loss": 0.0969, |
|
"step": 800 |
|
}, |
|
{ |
|
"epoch": 0.04, |
|
"grad_norm": 2.699073553085327, |
|
"learning_rate": 9.194949494949495e-07, |
|
"loss": 0.1024, |
|
"step": 900 |
|
}, |
|
{ |
|
"epoch": 0.05, |
|
"grad_norm": 11.251789093017578, |
|
"learning_rate": 9.093939393939394e-07, |
|
"loss": 0.0899, |
|
"step": 1000 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"grad_norm": 7.728929042816162, |
|
"learning_rate": 8.992929292929292e-07, |
|
"loss": 0.0837, |
|
"step": 1100 |
|
}, |
|
{ |
|
"epoch": 0.06, |
|
"grad_norm": 1.7401416301727295, |
|
"learning_rate": 8.891919191919191e-07, |
|
"loss": 0.0914, |
|
"step": 1200 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"grad_norm": 3.5504443645477295, |
|
"learning_rate": 8.790909090909091e-07, |
|
"loss": 0.0754, |
|
"step": 1300 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"grad_norm": 5.9004316329956055, |
|
"learning_rate": 8.68989898989899e-07, |
|
"loss": 0.0791, |
|
"step": 1400 |
|
}, |
|
{ |
|
"epoch": 0.07, |
|
"grad_norm": 2.9171862602233887, |
|
"learning_rate": 8.588888888888888e-07, |
|
"loss": 0.0866, |
|
"step": 1500 |
|
}, |
|
{ |
|
"epoch": 0.08, |
|
"grad_norm": 5.907050132751465, |
|
"learning_rate": 8.487878787878787e-07, |
|
"loss": 0.0768, |
|
"step": 1600 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"grad_norm": 4.856807708740234, |
|
"learning_rate": 8.386868686868687e-07, |
|
"loss": 0.0745, |
|
"step": 1700 |
|
}, |
|
{ |
|
"epoch": 0.09, |
|
"grad_norm": 2.4457929134368896, |
|
"learning_rate": 8.285858585858585e-07, |
|
"loss": 0.0808, |
|
"step": 1800 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"grad_norm": 3.084287643432617, |
|
"learning_rate": 8.184848484848484e-07, |
|
"loss": 0.0743, |
|
"step": 1900 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"grad_norm": 2.936805486679077, |
|
"learning_rate": 8.083838383838384e-07, |
|
"loss": 0.0675, |
|
"step": 2000 |
|
}, |
|
{ |
|
"epoch": 0.1, |
|
"eval_loss": 0.07925247400999069, |
|
"eval_runtime": 204.8299, |
|
"eval_samples_per_second": 4.882, |
|
"eval_steps_per_second": 1.221, |
|
"step": 2000 |
|
} |
|
], |
|
"logging_steps": 100, |
|
"max_steps": 10000, |
|
"num_input_tokens_seen": 0, |
|
"num_train_epochs": 1, |
|
"save_steps": 2000, |
|
"total_flos": 1.88564197343232e+17, |
|
"train_batch_size": 4, |
|
"trial_name": null, |
|
"trial_params": null |
|
} |
|
|