fedovtt's picture
Training in progress, step 25, checkpoint
536391f verified
raw
history blame
5.04 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.00638141731278517,
"eval_steps": 25,
"global_step": 25,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.00025525669251140676,
"grad_norm": NaN,
"learning_rate": 3.3333333333333335e-05,
"loss": 0.0,
"step": 1
},
{
"epoch": 0.00025525669251140676,
"eval_loss": NaN,
"eval_runtime": 13.5404,
"eval_samples_per_second": 243.715,
"eval_steps_per_second": 121.858,
"step": 1
},
{
"epoch": 0.0005105133850228135,
"grad_norm": NaN,
"learning_rate": 6.666666666666667e-05,
"loss": 0.0,
"step": 2
},
{
"epoch": 0.0007657700775342204,
"grad_norm": NaN,
"learning_rate": 0.0001,
"loss": 0.0,
"step": 3
},
{
"epoch": 0.001021026770045627,
"grad_norm": NaN,
"learning_rate": 9.99524110790929e-05,
"loss": 0.0,
"step": 4
},
{
"epoch": 0.001276283462557034,
"grad_norm": NaN,
"learning_rate": 9.980973490458728e-05,
"loss": 0.0,
"step": 5
},
{
"epoch": 0.0015315401550684408,
"grad_norm": NaN,
"learning_rate": 9.957224306869053e-05,
"loss": 0.0,
"step": 6
},
{
"epoch": 0.0017867968475798475,
"grad_norm": NaN,
"learning_rate": 9.924038765061042e-05,
"loss": 0.0,
"step": 7
},
{
"epoch": 0.002042053540091254,
"grad_norm": NaN,
"learning_rate": 9.881480035599667e-05,
"loss": 0.0,
"step": 8
},
{
"epoch": 0.002297310232602661,
"grad_norm": NaN,
"learning_rate": 9.829629131445342e-05,
"loss": 0.0,
"step": 9
},
{
"epoch": 0.002552566925114068,
"grad_norm": NaN,
"learning_rate": 9.768584753741134e-05,
"loss": 0.0,
"step": 10
},
{
"epoch": 0.0028078236176254747,
"grad_norm": NaN,
"learning_rate": 9.698463103929542e-05,
"loss": 0.0,
"step": 11
},
{
"epoch": 0.0030630803101368816,
"grad_norm": NaN,
"learning_rate": 9.619397662556435e-05,
"loss": 0.0,
"step": 12
},
{
"epoch": 0.003318337002648288,
"grad_norm": NaN,
"learning_rate": 9.53153893518325e-05,
"loss": 0.0,
"step": 13
},
{
"epoch": 0.003573593695159695,
"grad_norm": NaN,
"learning_rate": 9.435054165891109e-05,
"loss": 0.0,
"step": 14
},
{
"epoch": 0.0038288503876711018,
"grad_norm": NaN,
"learning_rate": 9.330127018922194e-05,
"loss": 0.0,
"step": 15
},
{
"epoch": 0.004084107080182508,
"grad_norm": NaN,
"learning_rate": 9.21695722906443e-05,
"loss": 0.0,
"step": 16
},
{
"epoch": 0.0043393637726939155,
"grad_norm": NaN,
"learning_rate": 9.09576022144496e-05,
"loss": 0.0,
"step": 17
},
{
"epoch": 0.004594620465205322,
"grad_norm": NaN,
"learning_rate": 8.966766701456177e-05,
"loss": 0.0,
"step": 18
},
{
"epoch": 0.004849877157716729,
"grad_norm": NaN,
"learning_rate": 8.83022221559489e-05,
"loss": 0.0,
"step": 19
},
{
"epoch": 0.005105133850228136,
"grad_norm": NaN,
"learning_rate": 8.68638668405062e-05,
"loss": 0.0,
"step": 20
},
{
"epoch": 0.005360390542739542,
"grad_norm": NaN,
"learning_rate": 8.535533905932738e-05,
"loss": 0.0,
"step": 21
},
{
"epoch": 0.0056156472352509494,
"grad_norm": NaN,
"learning_rate": 8.377951038078302e-05,
"loss": 0.0,
"step": 22
},
{
"epoch": 0.005870903927762356,
"grad_norm": NaN,
"learning_rate": 8.213938048432697e-05,
"loss": 0.0,
"step": 23
},
{
"epoch": 0.006126160620273763,
"grad_norm": NaN,
"learning_rate": 8.043807145043604e-05,
"loss": 0.0,
"step": 24
},
{
"epoch": 0.00638141731278517,
"grad_norm": NaN,
"learning_rate": 7.86788218175523e-05,
"loss": 0.0,
"step": 25
},
{
"epoch": 0.00638141731278517,
"eval_loss": NaN,
"eval_runtime": 13.6303,
"eval_samples_per_second": 242.108,
"eval_steps_per_second": 121.054,
"step": 25
}
],
"logging_steps": 1,
"max_steps": 75,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 25,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 5244361113600.0,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}