xzuyn's picture
Upload folder using huggingface_hub
a5d364c
raw
history blame
5.21 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.9553398058252427,
"global_step": 41,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.02,
"learning_rate": 2.631578947368421e-06,
"loss": 1.9044,
"step": 1
},
{
"epoch": 0.05,
"learning_rate": 5.263157894736842e-06,
"loss": 2.018,
"step": 2
},
{
"epoch": 0.07,
"learning_rate": 7.894736842105263e-06,
"loss": 2.0221,
"step": 3
},
{
"epoch": 0.09,
"learning_rate": 1.0526315789473684e-05,
"loss": 1.8884,
"step": 4
},
{
"epoch": 0.12,
"learning_rate": 1.3157894736842106e-05,
"loss": 1.9326,
"step": 5
},
{
"epoch": 0.14,
"learning_rate": 1.5789473684210526e-05,
"loss": 2.1193,
"step": 6
},
{
"epoch": 0.16,
"learning_rate": 1.8421052631578947e-05,
"loss": 2.0827,
"step": 7
},
{
"epoch": 0.19,
"learning_rate": 2.105263157894737e-05,
"loss": 1.8846,
"step": 8
},
{
"epoch": 0.21,
"learning_rate": 2.368421052631579e-05,
"loss": 2.0943,
"step": 9
},
{
"epoch": 0.23,
"learning_rate": 2.6315789473684212e-05,
"loss": 2.0881,
"step": 10
},
{
"epoch": 0.26,
"learning_rate": 2.8947368421052634e-05,
"loss": 1.9275,
"step": 11
},
{
"epoch": 0.28,
"learning_rate": 3.157894736842105e-05,
"loss": 1.6874,
"step": 12
},
{
"epoch": 0.3,
"learning_rate": 3.421052631578947e-05,
"loss": 1.9874,
"step": 13
},
{
"epoch": 0.33,
"learning_rate": 3.6842105263157895e-05,
"loss": 1.8901,
"step": 14
},
{
"epoch": 0.35,
"learning_rate": 3.9473684210526316e-05,
"loss": 1.7683,
"step": 15
},
{
"epoch": 0.37,
"learning_rate": 4.210526315789474e-05,
"loss": 2.0108,
"step": 16
},
{
"epoch": 0.4,
"learning_rate": 4.473684210526316e-05,
"loss": 1.6579,
"step": 17
},
{
"epoch": 0.42,
"learning_rate": 4.736842105263158e-05,
"loss": 1.9758,
"step": 18
},
{
"epoch": 0.44,
"learning_rate": 5e-05,
"loss": 1.9118,
"step": 19
},
{
"epoch": 0.47,
"learning_rate": 5.2631578947368424e-05,
"loss": 1.8964,
"step": 20
},
{
"epoch": 0.49,
"learning_rate": 5.526315789473685e-05,
"loss": 1.9288,
"step": 21
},
{
"epoch": 0.51,
"learning_rate": 5.789473684210527e-05,
"loss": 1.8706,
"step": 22
},
{
"epoch": 0.54,
"learning_rate": 6.052631578947369e-05,
"loss": 1.8604,
"step": 23
},
{
"epoch": 0.56,
"learning_rate": 6.31578947368421e-05,
"loss": 1.9001,
"step": 24
},
{
"epoch": 0.58,
"learning_rate": 6.578947368421054e-05,
"loss": 1.8254,
"step": 25
},
{
"epoch": 0.61,
"learning_rate": 6.842105263157895e-05,
"loss": 1.8111,
"step": 26
},
{
"epoch": 0.63,
"learning_rate": 7.105263157894737e-05,
"loss": 1.7496,
"step": 27
},
{
"epoch": 0.65,
"learning_rate": 7.368421052631579e-05,
"loss": 1.7604,
"step": 28
},
{
"epoch": 0.68,
"learning_rate": 7.631578947368422e-05,
"loss": 1.6285,
"step": 29
},
{
"epoch": 0.7,
"learning_rate": 7.894736842105263e-05,
"loss": 1.7226,
"step": 30
},
{
"epoch": 0.72,
"learning_rate": 8.157894736842105e-05,
"loss": 1.9689,
"step": 31
},
{
"epoch": 0.75,
"learning_rate": 8.421052631578948e-05,
"loss": 1.7737,
"step": 32
},
{
"epoch": 0.77,
"learning_rate": 8.68421052631579e-05,
"loss": 1.8093,
"step": 33
},
{
"epoch": 0.79,
"learning_rate": 8.947368421052632e-05,
"loss": 1.6292,
"step": 34
},
{
"epoch": 0.82,
"learning_rate": 9.210526315789474e-05,
"loss": 1.8351,
"step": 35
},
{
"epoch": 0.84,
"learning_rate": 9.473684210526316e-05,
"loss": 1.918,
"step": 36
},
{
"epoch": 0.86,
"learning_rate": 9.736842105263158e-05,
"loss": 1.8161,
"step": 37
},
{
"epoch": 0.89,
"learning_rate": 0.0001,
"loss": 1.8184,
"step": 38
},
{
"epoch": 0.91,
"learning_rate": 9.983108108108109e-05,
"loss": 1.5839,
"step": 39
},
{
"epoch": 0.93,
"learning_rate": 9.966216216216217e-05,
"loss": 1.8736,
"step": 40
},
{
"epoch": 0.96,
"learning_rate": 9.949324324324325e-05,
"loss": 1.77,
"step": 41
}
],
"max_steps": 630,
"num_train_epochs": 15,
"total_flos": 1.4834230583820288e+16,
"trial_name": null,
"trial_params": null
}