hamini58's picture
Upload folder using huggingface_hub
d1c31b1 verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.9019165727170236,
"eval_steps": 50,
"global_step": 200,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.04509582863585118,
"grad_norm": 6.922323518665507e-05,
"learning_rate": 3.9130434782608694e-07,
"loss": 1.6552,
"step": 10
},
{
"epoch": 0.09019165727170236,
"grad_norm": 5.8861107390839607e-05,
"learning_rate": 8.260869565217391e-07,
"loss": 1.7093,
"step": 20
},
{
"epoch": 0.13528748590755355,
"grad_norm": 6.818149995524436e-05,
"learning_rate": 9.97758641300553e-07,
"loss": 1.6896,
"step": 30
},
{
"epoch": 0.18038331454340473,
"grad_norm": 5.447689909487963e-05,
"learning_rate": 9.841341526992535e-07,
"loss": 1.9092,
"step": 40
},
{
"epoch": 0.2254791431792559,
"grad_norm": 4.812038241652772e-05,
"learning_rate": 9.584688140963944e-07,
"loss": 1.5902,
"step": 50
},
{
"epoch": 0.2254791431792559,
"eval_loss": 1.7812579870224,
"eval_runtime": 39.3359,
"eval_samples_per_second": 4.754,
"eval_steps_per_second": 2.39,
"step": 50
},
{
"epoch": 0.2705749718151071,
"grad_norm": 4.578845982905477e-05,
"learning_rate": 9.214009454506752e-07,
"loss": 1.5573,
"step": 60
},
{
"epoch": 0.3156708004509583,
"grad_norm": 5.378470086725429e-05,
"learning_rate": 8.738524578558546e-07,
"loss": 1.6926,
"step": 70
},
{
"epoch": 0.36076662908680945,
"grad_norm": 4.728526255348697e-05,
"learning_rate": 8.170059247861193e-07,
"loss": 1.6041,
"step": 80
},
{
"epoch": 0.40586245772266066,
"grad_norm": 3.9639940951019526e-05,
"learning_rate": 7.522751704345887e-07,
"loss": 1.4226,
"step": 90
},
{
"epoch": 0.4509582863585118,
"grad_norm": 4.501069270190783e-05,
"learning_rate": 6.812701066393123e-07,
"loss": 1.5622,
"step": 100
},
{
"epoch": 0.4509582863585118,
"eval_loss": 1.648553729057312,
"eval_runtime": 38.7156,
"eval_samples_per_second": 4.83,
"eval_steps_per_second": 2.428,
"step": 100
},
{
"epoch": 0.496054114994363,
"grad_norm": 3.845913670375012e-05,
"learning_rate": 6.057566929339095e-07,
"loss": 1.4544,
"step": 110
},
{
"epoch": 0.5411499436302142,
"grad_norm": 4.5064221922075376e-05,
"learning_rate": 5.27613015552254e-07,
"loss": 1.5299,
"step": 120
},
{
"epoch": 0.5862457722660653,
"grad_norm": 1.8545288185123354e-05,
"learning_rate": 4.4878257774169345e-07,
"loss": 1.4496,
"step": 130
},
{
"epoch": 0.6313416009019166,
"grad_norm": 3.569232649169862e-05,
"learning_rate": 3.7122596309655174e-07,
"loss": 1.4476,
"step": 140
},
{
"epoch": 0.6764374295377678,
"grad_norm": 2.6302534024580382e-05,
"learning_rate": 2.9687207408810555e-07,
"loss": 1.4962,
"step": 150
},
{
"epoch": 0.6764374295377678,
"eval_loss": 1.5979574918746948,
"eval_runtime": 38.7777,
"eval_samples_per_second": 4.822,
"eval_steps_per_second": 2.424,
"step": 150
},
{
"epoch": 0.7215332581736189,
"grad_norm": 3.0995302950032055e-05,
"learning_rate": 2.275701585324649e-07,
"loss": 1.374,
"step": 160
},
{
"epoch": 0.7666290868094702,
"grad_norm": 3.3021700801327825e-05,
"learning_rate": 1.6504381714107252e-07,
"loss": 1.4554,
"step": 170
},
{
"epoch": 0.8117249154453213,
"grad_norm": 2.8384956749505363e-05,
"learning_rate": 1.1084813602723514e-07,
"loss": 1.4978,
"step": 180
},
{
"epoch": 0.8568207440811725,
"grad_norm": 3.126484443782829e-05,
"learning_rate": 6.633101032164273e-08,
"loss": 1.5816,
"step": 190
},
{
"epoch": 0.9019165727170236,
"grad_norm": 2.8435692001949064e-05,
"learning_rate": 3.2599620813200835e-08,
"loss": 1.4841,
"step": 200
},
{
"epoch": 0.9019165727170236,
"eval_loss": 1.5861315727233887,
"eval_runtime": 38.6811,
"eval_samples_per_second": 4.834,
"eval_steps_per_second": 2.43,
"step": 200
}
],
"logging_steps": 10,
"max_steps": 222,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 100,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 3.1184814522587136e+16,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}