bout69migits's picture
Upload folder using huggingface_hub
7e270a2 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.0,
"eval_steps": 500,
"global_step": 18,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.17,
"grad_norm": NaN,
"learning_rate": 0.0,
"loss": 8.9144,
"step": 1
},
{
"epoch": 0.33,
"grad_norm": NaN,
"learning_rate": 0.0,
"loss": 12.2548,
"step": 2
},
{
"epoch": 0.5,
"grad_norm": NaN,
"learning_rate": 0.0,
"loss": 8.0577,
"step": 3
},
{
"epoch": 0.67,
"grad_norm": Infinity,
"learning_rate": 0.0,
"loss": 10.0668,
"step": 4
},
{
"epoch": 0.83,
"grad_norm": 118.140869140625,
"learning_rate": 1.5e-05,
"loss": 11.3165,
"step": 5
},
{
"epoch": 1.0,
"grad_norm": 119.7070541381836,
"learning_rate": 3e-05,
"loss": 8.0135,
"step": 6
},
{
"epoch": 1.17,
"grad_norm": 73.31137084960938,
"learning_rate": 2.8125e-05,
"loss": 7.0185,
"step": 7
},
{
"epoch": 1.33,
"grad_norm": 48.86985397338867,
"learning_rate": 2.625e-05,
"loss": 6.366,
"step": 8
},
{
"epoch": 1.5,
"grad_norm": 63.3082389831543,
"learning_rate": 2.4375e-05,
"loss": 6.9771,
"step": 9
},
{
"epoch": 1.67,
"grad_norm": 60.80664825439453,
"learning_rate": 2.25e-05,
"loss": 4.8249,
"step": 10
},
{
"epoch": 1.83,
"grad_norm": 48.479217529296875,
"learning_rate": 2.0625e-05,
"loss": 4.9635,
"step": 11
},
{
"epoch": 2.0,
"grad_norm": 24.786556243896484,
"learning_rate": 1.8750000000000002e-05,
"loss": 3.3671,
"step": 12
},
{
"epoch": 2.17,
"grad_norm": 16.406631469726562,
"learning_rate": 1.6875e-05,
"loss": 2.361,
"step": 13
},
{
"epoch": 2.33,
"grad_norm": 15.527493476867676,
"learning_rate": 1.5e-05,
"loss": 3.1927,
"step": 14
},
{
"epoch": 2.5,
"grad_norm": 28.2950382232666,
"learning_rate": 1.3125e-05,
"loss": 4.0086,
"step": 15
},
{
"epoch": 2.67,
"grad_norm": 25.018417358398438,
"learning_rate": 1.125e-05,
"loss": 3.4131,
"step": 16
},
{
"epoch": 2.83,
"grad_norm": 15.129682540893555,
"learning_rate": 9.375000000000001e-06,
"loss": 2.6968,
"step": 17
},
{
"epoch": 3.0,
"grad_norm": 13.875788688659668,
"learning_rate": 7.5e-06,
"loss": 2.714,
"step": 18
}
],
"logging_steps": 1,
"max_steps": 18,
"num_input_tokens_seen": 0,
"num_train_epochs": 3,
"save_steps": 500,
"total_flos": 6902048951894016.0,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}