trapoom555's picture
init upload
ea96d68
raw
history blame
No virus
2.63 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.010158914447427617,
"eval_steps": 500,
"global_step": 140,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0007256367462448298,
"grad_norm": 12.0,
"learning_rate": 5e-05,
"loss": 3.0993,
"step": 10
},
{
"epoch": 0.0014512734924896596,
"grad_norm": 10.4375,
"learning_rate": 0.0001,
"loss": 2.208,
"step": 20
},
{
"epoch": 0.0021769102387344894,
"grad_norm": 6.5625,
"learning_rate": 0.00015,
"loss": 1.3285,
"step": 30
},
{
"epoch": 0.0029025469849793192,
"grad_norm": 6.21875,
"learning_rate": 0.0002,
"loss": 0.6895,
"step": 40
},
{
"epoch": 0.003628183731224149,
"grad_norm": 4.15625,
"learning_rate": 0.00025,
"loss": 0.714,
"step": 50
},
{
"epoch": 0.004353820477468979,
"grad_norm": 4.71875,
"learning_rate": 0.0003,
"loss": 0.4849,
"step": 60
},
{
"epoch": 0.005079457223713809,
"grad_norm": 3.828125,
"learning_rate": 0.00035,
"loss": 0.3671,
"step": 70
},
{
"epoch": 0.0058050939699586385,
"grad_norm": 4.03125,
"learning_rate": 0.0004,
"loss": 0.5693,
"step": 80
},
{
"epoch": 0.006530730716203468,
"grad_norm": 3.296875,
"learning_rate": 0.00045000000000000004,
"loss": 0.4133,
"step": 90
},
{
"epoch": 0.007256367462448298,
"grad_norm": 2.640625,
"learning_rate": 0.0005,
"loss": 0.2668,
"step": 100
},
{
"epoch": 0.007982004208693128,
"grad_norm": 1.5859375,
"learning_rate": 0.000499999340865746,
"loss": 0.2922,
"step": 110
},
{
"epoch": 0.008707640954937958,
"grad_norm": 3.8125,
"learning_rate": 0.0004999973634664594,
"loss": 0.3996,
"step": 120
},
{
"epoch": 0.009433277701182788,
"grad_norm": 2.0625,
"learning_rate": 0.0004999940678125673,
"loss": 0.2841,
"step": 130
},
{
"epoch": 0.010158914447427617,
"grad_norm": 3.390625,
"learning_rate": 0.000499989453921448,
"loss": 0.3003,
"step": 140
}
],
"logging_steps": 10,
"max_steps": 13781,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 10,
"total_flos": 0.0,
"train_batch_size": 5,
"trial_name": null,
"trial_params": null
}