dimasik2987's picture
Training in progress, step 50, checkpoint
0d90947 verified
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.05523844595838704,
"eval_steps": 5,
"global_step": 50,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0011047689191677407,
"grad_norm": NaN,
"learning_rate": 2e-05,
"loss": 0.0,
"step": 1
},
{
"epoch": 0.0011047689191677407,
"eval_loss": NaN,
"eval_runtime": 88.3307,
"eval_samples_per_second": 12.951,
"eval_steps_per_second": 3.238,
"step": 1
},
{
"epoch": 0.0022095378383354815,
"grad_norm": NaN,
"learning_rate": 4e-05,
"loss": 0.0,
"step": 2
},
{
"epoch": 0.0033143067575032224,
"grad_norm": NaN,
"learning_rate": 6e-05,
"loss": 0.0,
"step": 3
},
{
"epoch": 0.004419075676670963,
"grad_norm": NaN,
"learning_rate": 8e-05,
"loss": 0.0,
"step": 4
},
{
"epoch": 0.005523844595838704,
"grad_norm": NaN,
"learning_rate": 0.0001,
"loss": 0.0,
"step": 5
},
{
"epoch": 0.005523844595838704,
"eval_loss": NaN,
"eval_runtime": 88.6734,
"eval_samples_per_second": 12.901,
"eval_steps_per_second": 3.225,
"step": 5
},
{
"epoch": 0.006628613515006445,
"grad_norm": NaN,
"learning_rate": 0.00012,
"loss": 0.0,
"step": 6
},
{
"epoch": 0.007733382434174185,
"grad_norm": NaN,
"learning_rate": 0.00014,
"loss": 0.0,
"step": 7
},
{
"epoch": 0.008838151353341926,
"grad_norm": NaN,
"learning_rate": 0.00016,
"loss": 0.0,
"step": 8
},
{
"epoch": 0.009942920272509667,
"grad_norm": NaN,
"learning_rate": 0.00018,
"loss": 0.0,
"step": 9
},
{
"epoch": 0.011047689191677408,
"grad_norm": NaN,
"learning_rate": 0.0002,
"loss": 0.0,
"step": 10
},
{
"epoch": 0.011047689191677408,
"eval_loss": NaN,
"eval_runtime": 88.8694,
"eval_samples_per_second": 12.873,
"eval_steps_per_second": 3.218,
"step": 10
},
{
"epoch": 0.012152458110845149,
"grad_norm": NaN,
"learning_rate": 0.0001996917333733128,
"loss": 0.0,
"step": 11
},
{
"epoch": 0.01325722703001289,
"grad_norm": NaN,
"learning_rate": 0.00019876883405951377,
"loss": 0.0,
"step": 12
},
{
"epoch": 0.014361995949180629,
"grad_norm": NaN,
"learning_rate": 0.00019723699203976766,
"loss": 0.0,
"step": 13
},
{
"epoch": 0.01546676486834837,
"grad_norm": NaN,
"learning_rate": 0.00019510565162951537,
"loss": 0.0,
"step": 14
},
{
"epoch": 0.01657153378751611,
"grad_norm": NaN,
"learning_rate": 0.0001923879532511287,
"loss": 0.0,
"step": 15
},
{
"epoch": 0.01657153378751611,
"eval_loss": NaN,
"eval_runtime": 88.8771,
"eval_samples_per_second": 12.872,
"eval_steps_per_second": 3.218,
"step": 15
},
{
"epoch": 0.01767630270668385,
"grad_norm": NaN,
"learning_rate": 0.0001891006524188368,
"loss": 0.0,
"step": 16
},
{
"epoch": 0.018781071625851593,
"grad_norm": NaN,
"learning_rate": 0.00018526401643540922,
"loss": 0.0,
"step": 17
},
{
"epoch": 0.019885840545019334,
"grad_norm": NaN,
"learning_rate": 0.00018090169943749476,
"loss": 0.0,
"step": 18
},
{
"epoch": 0.020990609464187075,
"grad_norm": NaN,
"learning_rate": 0.0001760405965600031,
"loss": 0.0,
"step": 19
},
{
"epoch": 0.022095378383354815,
"grad_norm": NaN,
"learning_rate": 0.00017071067811865476,
"loss": 0.0,
"step": 20
},
{
"epoch": 0.022095378383354815,
"eval_loss": NaN,
"eval_runtime": 88.759,
"eval_samples_per_second": 12.889,
"eval_steps_per_second": 3.222,
"step": 20
},
{
"epoch": 0.023200147302522556,
"grad_norm": NaN,
"learning_rate": 0.00016494480483301836,
"loss": 0.0,
"step": 21
},
{
"epoch": 0.024304916221690297,
"grad_norm": NaN,
"learning_rate": 0.00015877852522924732,
"loss": 0.0,
"step": 22
},
{
"epoch": 0.02540968514085804,
"grad_norm": NaN,
"learning_rate": 0.0001522498564715949,
"loss": 0.0,
"step": 23
},
{
"epoch": 0.02651445406002578,
"grad_norm": NaN,
"learning_rate": 0.00014539904997395468,
"loss": 0.0,
"step": 24
},
{
"epoch": 0.02761922297919352,
"grad_norm": NaN,
"learning_rate": 0.000138268343236509,
"loss": 0.0,
"step": 25
},
{
"epoch": 0.02761922297919352,
"eval_loss": NaN,
"eval_runtime": 88.7778,
"eval_samples_per_second": 12.886,
"eval_steps_per_second": 3.222,
"step": 25
},
{
"epoch": 0.028723991898361258,
"grad_norm": NaN,
"learning_rate": 0.00013090169943749476,
"loss": 0.0,
"step": 26
},
{
"epoch": 0.029828760817529,
"grad_norm": NaN,
"learning_rate": 0.00012334453638559057,
"loss": 0.0,
"step": 27
},
{
"epoch": 0.03093352973669674,
"grad_norm": NaN,
"learning_rate": 0.0001156434465040231,
"loss": 0.0,
"step": 28
},
{
"epoch": 0.03203829865586448,
"grad_norm": NaN,
"learning_rate": 0.0001078459095727845,
"loss": 0.0,
"step": 29
},
{
"epoch": 0.03314306757503222,
"grad_norm": NaN,
"learning_rate": 0.0001,
"loss": 0.0,
"step": 30
},
{
"epoch": 0.03314306757503222,
"eval_loss": NaN,
"eval_runtime": 88.7745,
"eval_samples_per_second": 12.887,
"eval_steps_per_second": 3.222,
"step": 30
},
{
"epoch": 0.03424783649419996,
"grad_norm": NaN,
"learning_rate": 9.215409042721552e-05,
"loss": 0.0,
"step": 31
},
{
"epoch": 0.0353526054133677,
"grad_norm": NaN,
"learning_rate": 8.435655349597689e-05,
"loss": 0.0,
"step": 32
},
{
"epoch": 0.036457374332535444,
"grad_norm": NaN,
"learning_rate": 7.66554636144095e-05,
"loss": 0.0,
"step": 33
},
{
"epoch": 0.037562143251703185,
"grad_norm": NaN,
"learning_rate": 6.909830056250527e-05,
"loss": 0.0,
"step": 34
},
{
"epoch": 0.038666912170870926,
"grad_norm": NaN,
"learning_rate": 6.173165676349103e-05,
"loss": 0.0,
"step": 35
},
{
"epoch": 0.038666912170870926,
"eval_loss": NaN,
"eval_runtime": 88.7833,
"eval_samples_per_second": 12.885,
"eval_steps_per_second": 3.221,
"step": 35
},
{
"epoch": 0.03977168109003867,
"grad_norm": NaN,
"learning_rate": 5.4600950026045326e-05,
"loss": 0.0,
"step": 36
},
{
"epoch": 0.04087645000920641,
"grad_norm": NaN,
"learning_rate": 4.7750143528405126e-05,
"loss": 0.0,
"step": 37
},
{
"epoch": 0.04198121892837415,
"grad_norm": NaN,
"learning_rate": 4.12214747707527e-05,
"loss": 0.0,
"step": 38
},
{
"epoch": 0.04308598784754189,
"grad_norm": NaN,
"learning_rate": 3.5055195166981645e-05,
"loss": 0.0,
"step": 39
},
{
"epoch": 0.04419075676670963,
"grad_norm": NaN,
"learning_rate": 2.9289321881345254e-05,
"loss": 0.0,
"step": 40
},
{
"epoch": 0.04419075676670963,
"eval_loss": NaN,
"eval_runtime": 88.7845,
"eval_samples_per_second": 12.885,
"eval_steps_per_second": 3.221,
"step": 40
},
{
"epoch": 0.04529552568587737,
"grad_norm": NaN,
"learning_rate": 2.3959403439996907e-05,
"loss": 0.0,
"step": 41
},
{
"epoch": 0.04640029460504511,
"grad_norm": NaN,
"learning_rate": 1.9098300562505266e-05,
"loss": 0.0,
"step": 42
},
{
"epoch": 0.047505063524212854,
"grad_norm": NaN,
"learning_rate": 1.4735983564590783e-05,
"loss": 0.0,
"step": 43
},
{
"epoch": 0.048609832443380595,
"grad_norm": NaN,
"learning_rate": 1.0899347581163221e-05,
"loss": 0.0,
"step": 44
},
{
"epoch": 0.049714601362548336,
"grad_norm": NaN,
"learning_rate": 7.612046748871327e-06,
"loss": 0.0,
"step": 45
},
{
"epoch": 0.049714601362548336,
"eval_loss": NaN,
"eval_runtime": 88.803,
"eval_samples_per_second": 12.882,
"eval_steps_per_second": 3.221,
"step": 45
},
{
"epoch": 0.05081937028171608,
"grad_norm": NaN,
"learning_rate": 4.8943483704846475e-06,
"loss": 0.0,
"step": 46
},
{
"epoch": 0.05192413920088382,
"grad_norm": NaN,
"learning_rate": 2.7630079602323442e-06,
"loss": 0.0,
"step": 47
},
{
"epoch": 0.05302890812005156,
"grad_norm": NaN,
"learning_rate": 1.231165940486234e-06,
"loss": 0.0,
"step": 48
},
{
"epoch": 0.0541336770392193,
"grad_norm": NaN,
"learning_rate": 3.0826662668720364e-07,
"loss": 0.0,
"step": 49
},
{
"epoch": 0.05523844595838704,
"grad_norm": NaN,
"learning_rate": 0.0,
"loss": 0.0,
"step": 50
},
{
"epoch": 0.05523844595838704,
"eval_loss": NaN,
"eval_runtime": 88.787,
"eval_samples_per_second": 12.885,
"eval_steps_per_second": 3.221,
"step": 50
}
],
"logging_steps": 1,
"max_steps": 50,
"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": true
},
"attributes": {}
}
},
"total_flos": 1.95940325523456e+16,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}