TianyiQ's picture
Upload folder using huggingface_hub
be87820 verified
raw
history blame
4.05 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.5,
"eval_steps": 3,
"global_step": 57,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.008771929824561403,
"grad_norm": 0.0,
"learning_rate": 0.0,
"loss": 2.0802,
"step": 1
},
{
"epoch": 0.02631578947368421,
"grad_norm": 0.0,
"learning_rate": 0.0,
"loss": 2.0494,
"step": 3
},
{
"epoch": 0.05263157894736842,
"grad_norm": 2.4723047601512564,
"learning_rate": 6.000000000000001e-07,
"loss": 2.0771,
"step": 6
},
{
"epoch": 0.07894736842105263,
"grad_norm": 2.106898891910819,
"learning_rate": 1.8e-06,
"loss": 2.0245,
"step": 9
},
{
"epoch": 0.10526315789473684,
"grad_norm": 0.8386924455230856,
"learning_rate": 2.9432692307692307e-06,
"loss": 2.0568,
"step": 12
},
{
"epoch": 0.13157894736842105,
"grad_norm": 1.1653346026055935,
"learning_rate": 2.7730769230769233e-06,
"loss": 2.0326,
"step": 15
},
{
"epoch": 0.15789473684210525,
"grad_norm": 1.5574035133942843,
"learning_rate": 2.6028846153846155e-06,
"loss": 2.0396,
"step": 18
},
{
"epoch": 0.18421052631578946,
"grad_norm": 0.9621595083981531,
"learning_rate": 2.4326923076923077e-06,
"loss": 2.0336,
"step": 21
},
{
"epoch": 0.21052631578947367,
"grad_norm": 0.9955527535333841,
"learning_rate": 2.2625e-06,
"loss": 1.9571,
"step": 24
},
{
"epoch": 0.23684210526315788,
"grad_norm": 0.7832834940985813,
"learning_rate": 2.092307692307692e-06,
"loss": 1.9792,
"step": 27
},
{
"epoch": 0.2631578947368421,
"grad_norm": 0.7516778470264893,
"learning_rate": 1.9221153846153848e-06,
"loss": 2.015,
"step": 30
},
{
"epoch": 0.2894736842105263,
"grad_norm": 1.4307615046721256,
"learning_rate": 1.7519230769230768e-06,
"loss": 1.9845,
"step": 33
},
{
"epoch": 0.3157894736842105,
"grad_norm": 0.7110172377205767,
"learning_rate": 1.581730769230769e-06,
"loss": 1.974,
"step": 36
},
{
"epoch": 0.34210526315789475,
"grad_norm": 0.9472807779995442,
"learning_rate": 1.4115384615384616e-06,
"loss": 1.9848,
"step": 39
},
{
"epoch": 0.3684210526315789,
"grad_norm": 0.6928271721519345,
"learning_rate": 1.2413461538461538e-06,
"loss": 1.9453,
"step": 42
},
{
"epoch": 0.39473684210526316,
"grad_norm": 0.9136097540650397,
"learning_rate": 1.071153846153846e-06,
"loss": 1.9987,
"step": 45
},
{
"epoch": 0.42105263157894735,
"grad_norm": 0.6671789202988747,
"learning_rate": 9.009615384615385e-07,
"loss": 2.0054,
"step": 48
},
{
"epoch": 0.4473684210526316,
"grad_norm": 1.2888605208856772,
"learning_rate": 7.307692307692307e-07,
"loss": 1.9706,
"step": 51
},
{
"epoch": 0.47368421052631576,
"grad_norm": 0.9597150120115726,
"learning_rate": 6.740384615384617e-07,
"loss": 1.9874,
"step": 54
},
{
"epoch": 0.5,
"grad_norm": 0.7428542672176522,
"learning_rate": 5.038461538461539e-07,
"loss": 2.0058,
"step": 57
},
{
"epoch": 0.5,
"step": 57,
"total_flos": 227154377834496.0,
"train_loss": 2.006924344782244,
"train_runtime": 17818.5287,
"train_samples_per_second": 0.409,
"train_steps_per_second": 0.003
}
],
"logging_steps": 3,
"max_steps": 57,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 12,
"total_flos": 227154377834496.0,
"train_batch_size": 1,
"trial_name": null,
"trial_params": null
}