VERSIL91's picture
Training in progress, step 30, checkpoint
6b51b97 verified
raw
history blame
6.55 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.34557235421166305,
"eval_steps": 8,
"global_step": 30,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.011519078473722102,
"grad_norm": 19.9857120513916,
"learning_rate": 1e-05,
"loss": 13.0002,
"step": 1
},
{
"epoch": 0.011519078473722102,
"eval_loss": 15.875571250915527,
"eval_runtime": 43.2844,
"eval_samples_per_second": 3.396,
"eval_steps_per_second": 1.71,
"step": 1
},
{
"epoch": 0.023038156947444204,
"grad_norm": 18.35199737548828,
"learning_rate": 2e-05,
"loss": 13.3377,
"step": 2
},
{
"epoch": 0.03455723542116631,
"grad_norm": 20.499919891357422,
"learning_rate": 3e-05,
"loss": 11.844,
"step": 3
},
{
"epoch": 0.04607631389488841,
"grad_norm": 21.232027053833008,
"learning_rate": 4e-05,
"loss": 12.9647,
"step": 4
},
{
"epoch": 0.05759539236861051,
"grad_norm": 19.538623809814453,
"learning_rate": 5e-05,
"loss": 11.7034,
"step": 5
},
{
"epoch": 0.06911447084233262,
"grad_norm": 20.755231857299805,
"learning_rate": 6e-05,
"loss": 11.0206,
"step": 6
},
{
"epoch": 0.08063354931605471,
"grad_norm": 29.196537017822266,
"learning_rate": 7e-05,
"loss": 10.6785,
"step": 7
},
{
"epoch": 0.09215262778977681,
"grad_norm": 24.786623001098633,
"learning_rate": 8e-05,
"loss": 10.1987,
"step": 8
},
{
"epoch": 0.09215262778977681,
"eval_loss": NaN,
"eval_runtime": 26.4418,
"eval_samples_per_second": 5.559,
"eval_steps_per_second": 2.799,
"step": 8
},
{
"epoch": 0.10367170626349892,
"grad_norm": 18.314897537231445,
"learning_rate": 9e-05,
"loss": 8.648,
"step": 9
},
{
"epoch": 0.11519078473722102,
"grad_norm": 15.454906463623047,
"learning_rate": 0.0001,
"loss": 6.5857,
"step": 10
},
{
"epoch": 0.12670986321094313,
"grad_norm": 26.08247184753418,
"learning_rate": 9.938441702975689e-05,
"loss": 6.7318,
"step": 11
},
{
"epoch": 0.13822894168466524,
"grad_norm": 45.0203857421875,
"learning_rate": 9.755282581475769e-05,
"loss": 6.6639,
"step": 12
},
{
"epoch": 0.14974802015838734,
"grad_norm": 44.75263595581055,
"learning_rate": 9.45503262094184e-05,
"loss": 5.3623,
"step": 13
},
{
"epoch": 0.16126709863210942,
"grad_norm": 48.91502380371094,
"learning_rate": 9.045084971874738e-05,
"loss": 4.9463,
"step": 14
},
{
"epoch": 0.17278617710583152,
"grad_norm": 26.311792373657227,
"learning_rate": 8.535533905932738e-05,
"loss": 3.9532,
"step": 15
},
{
"epoch": 0.18430525557955363,
"grad_norm": 45.528385162353516,
"learning_rate": 7.938926261462366e-05,
"loss": 4.0457,
"step": 16
},
{
"epoch": 0.18430525557955363,
"eval_loss": NaN,
"eval_runtime": 26.5549,
"eval_samples_per_second": 5.536,
"eval_steps_per_second": 2.787,
"step": 16
},
{
"epoch": 0.19582433405327573,
"grad_norm": 42.59834671020508,
"learning_rate": 7.269952498697734e-05,
"loss": 4.3579,
"step": 17
},
{
"epoch": 0.20734341252699784,
"grad_norm": 18.206153869628906,
"learning_rate": 6.545084971874738e-05,
"loss": 3.8252,
"step": 18
},
{
"epoch": 0.21886249100071994,
"grad_norm": 23.28106689453125,
"learning_rate": 5.782172325201155e-05,
"loss": 3.7844,
"step": 19
},
{
"epoch": 0.23038156947444205,
"grad_norm": 26.331771850585938,
"learning_rate": 5e-05,
"loss": 3.4637,
"step": 20
},
{
"epoch": 0.24190064794816415,
"grad_norm": 24.80760955810547,
"learning_rate": 4.2178276747988446e-05,
"loss": 3.3158,
"step": 21
},
{
"epoch": 0.25341972642188626,
"grad_norm": 11.706987380981445,
"learning_rate": 3.4549150281252636e-05,
"loss": 2.8568,
"step": 22
},
{
"epoch": 0.26493880489560834,
"grad_norm": 13.360960960388184,
"learning_rate": 2.7300475013022663e-05,
"loss": 3.0235,
"step": 23
},
{
"epoch": 0.27645788336933047,
"grad_norm": 14.578153610229492,
"learning_rate": 2.061073738537635e-05,
"loss": 2.4507,
"step": 24
},
{
"epoch": 0.27645788336933047,
"eval_loss": NaN,
"eval_runtime": 26.5699,
"eval_samples_per_second": 5.533,
"eval_steps_per_second": 2.785,
"step": 24
},
{
"epoch": 0.28797696184305255,
"grad_norm": 13.395209312438965,
"learning_rate": 1.4644660940672627e-05,
"loss": 2.4717,
"step": 25
},
{
"epoch": 0.2994960403167747,
"grad_norm": 11.832671165466309,
"learning_rate": 9.549150281252633e-06,
"loss": 2.4415,
"step": 26
},
{
"epoch": 0.31101511879049676,
"grad_norm": 13.087400436401367,
"learning_rate": 5.449673790581611e-06,
"loss": 2.4317,
"step": 27
},
{
"epoch": 0.32253419726421884,
"grad_norm": 13.915994644165039,
"learning_rate": 2.4471741852423237e-06,
"loss": 2.6166,
"step": 28
},
{
"epoch": 0.33405327573794097,
"grad_norm": 14.689959526062012,
"learning_rate": 6.15582970243117e-07,
"loss": 2.4773,
"step": 29
},
{
"epoch": 0.34557235421166305,
"grad_norm": 13.360550880432129,
"learning_rate": 0.0,
"loss": 2.2851,
"step": 30
}
],
"logging_steps": 1,
"max_steps": 30,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 8,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 1.8405464677023744e+17,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}