dsakerkwq's picture
Training in progress, step 43, checkpoint
2b08a41 verified
{
"best_metric": NaN,
"best_model_checkpoint": "miner_id_24/checkpoint-25",
"epoch": 3.017467248908297,
"eval_steps": 25,
"global_step": 43,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.06986899563318777,
"grad_norm": NaN,
"learning_rate": 5e-05,
"loss": 0.0,
"step": 1
},
{
"epoch": 0.06986899563318777,
"eval_loss": NaN,
"eval_runtime": 1.4338,
"eval_samples_per_second": 34.873,
"eval_steps_per_second": 9.067,
"step": 1
},
{
"epoch": 0.13973799126637554,
"grad_norm": NaN,
"learning_rate": 0.0001,
"loss": 0.0,
"step": 2
},
{
"epoch": 0.2096069868995633,
"grad_norm": NaN,
"learning_rate": 9.986796105326832e-05,
"loss": 0.0,
"step": 3
},
{
"epoch": 0.2794759825327511,
"grad_norm": NaN,
"learning_rate": 9.947261907011569e-05,
"loss": 0.0,
"step": 4
},
{
"epoch": 0.34934497816593885,
"grad_norm": NaN,
"learning_rate": 9.881629407450006e-05,
"loss": 0.0,
"step": 5
},
{
"epoch": 0.4192139737991266,
"grad_norm": NaN,
"learning_rate": 9.790283764247188e-05,
"loss": 0.0,
"step": 6
},
{
"epoch": 0.4890829694323144,
"grad_norm": NaN,
"learning_rate": 9.673761029959427e-05,
"loss": 0.0,
"step": 7
},
{
"epoch": 0.5589519650655022,
"grad_norm": NaN,
"learning_rate": 9.53274500632475e-05,
"loss": 0.0,
"step": 8
},
{
"epoch": 0.62882096069869,
"grad_norm": NaN,
"learning_rate": 9.368063231442406e-05,
"loss": 0.0,
"step": 9
},
{
"epoch": 0.6986899563318777,
"grad_norm": NaN,
"learning_rate": 9.18068212345023e-05,
"loss": 0.0,
"step": 10
},
{
"epoch": 0.7685589519650655,
"grad_norm": NaN,
"learning_rate": 8.971701309198744e-05,
"loss": 0.0,
"step": 11
},
{
"epoch": 0.8384279475982532,
"grad_norm": NaN,
"learning_rate": 8.742347171203542e-05,
"loss": 0.0,
"step": 12
},
{
"epoch": 0.9082969432314411,
"grad_norm": NaN,
"learning_rate": 8.493965650745043e-05,
"loss": 0.0,
"step": 13
},
{
"epoch": 0.9781659388646288,
"grad_norm": NaN,
"learning_rate": 8.228014349349872e-05,
"loss": 0.0,
"step": 14
},
{
"epoch": 1.0524017467248907,
"grad_norm": NaN,
"learning_rate": 7.946053975005496e-05,
"loss": 0.0,
"step": 15
},
{
"epoch": 1.1222707423580787,
"grad_norm": NaN,
"learning_rate": 7.649739183305184e-05,
"loss": 0.0,
"step": 16
},
{
"epoch": 1.1921397379912664,
"grad_norm": NaN,
"learning_rate": 7.34080886727103e-05,
"loss": 0.0,
"step": 17
},
{
"epoch": 1.262008733624454,
"grad_norm": NaN,
"learning_rate": 7.021075952838262e-05,
"loss": 0.0,
"step": 18
},
{
"epoch": 1.3318777292576418,
"grad_norm": NaN,
"learning_rate": 6.692416759884978e-05,
"loss": 0.0,
"step": 19
},
{
"epoch": 1.4017467248908297,
"grad_norm": NaN,
"learning_rate": 6.356759991241008e-05,
"loss": 0.0,
"step": 20
},
{
"epoch": 1.4716157205240175,
"grad_norm": NaN,
"learning_rate": 6.016075414292803e-05,
"loss": 0.0,
"step": 21
},
{
"epoch": 1.5414847161572052,
"grad_norm": NaN,
"learning_rate": 5.6723623016051596e-05,
"loss": 0.0,
"step": 22
},
{
"epoch": 1.611353711790393,
"grad_norm": NaN,
"learning_rate": 5.3276376983948415e-05,
"loss": 0.0,
"step": 23
},
{
"epoch": 1.6812227074235808,
"grad_norm": NaN,
"learning_rate": 4.9839245857071994e-05,
"loss": 0.0,
"step": 24
},
{
"epoch": 1.7510917030567685,
"grad_norm": NaN,
"learning_rate": 4.643240008758992e-05,
"loss": 0.0,
"step": 25
},
{
"epoch": 1.7510917030567685,
"eval_loss": NaN,
"eval_runtime": 0.7318,
"eval_samples_per_second": 68.323,
"eval_steps_per_second": 17.764,
"step": 25
},
{
"epoch": 1.8209606986899565,
"grad_norm": NaN,
"learning_rate": 4.307583240115024e-05,
"loss": 0.0,
"step": 26
},
{
"epoch": 1.890829694323144,
"grad_norm": NaN,
"learning_rate": 3.9789240471617385e-05,
"loss": 0.0,
"step": 27
},
{
"epoch": 1.960698689956332,
"grad_norm": NaN,
"learning_rate": 3.659191132728971e-05,
"loss": 0.0,
"step": 28
},
{
"epoch": 2.034934497816594,
"grad_norm": NaN,
"learning_rate": 3.350260816694816e-05,
"loss": 0.0,
"step": 29
},
{
"epoch": 2.1048034934497815,
"grad_norm": NaN,
"learning_rate": 3.0539460249945056e-05,
"loss": 0.0,
"step": 30
},
{
"epoch": 2.1746724890829694,
"grad_norm": NaN,
"learning_rate": 2.7719856506501306e-05,
"loss": 0.0,
"step": 31
},
{
"epoch": 2.2445414847161573,
"grad_norm": NaN,
"learning_rate": 2.5060343492549566e-05,
"loss": 0.0,
"step": 32
},
{
"epoch": 2.314410480349345,
"grad_norm": NaN,
"learning_rate": 2.257652828796459e-05,
"loss": 0.0,
"step": 33
},
{
"epoch": 2.3842794759825328,
"grad_norm": NaN,
"learning_rate": 2.0282986908012567e-05,
"loss": 0.0,
"step": 34
},
{
"epoch": 2.4541484716157207,
"grad_norm": NaN,
"learning_rate": 1.819317876549771e-05,
"loss": 0.0,
"step": 35
},
{
"epoch": 2.524017467248908,
"grad_norm": NaN,
"learning_rate": 1.631936768557596e-05,
"loss": 0.0,
"step": 36
},
{
"epoch": 2.593886462882096,
"grad_norm": NaN,
"learning_rate": 1.4672549936752506e-05,
"loss": 0.0,
"step": 37
},
{
"epoch": 2.6637554585152836,
"grad_norm": NaN,
"learning_rate": 1.3262389700405744e-05,
"loss": 0.0,
"step": 38
},
{
"epoch": 2.7336244541484715,
"grad_norm": NaN,
"learning_rate": 1.2097162357528127e-05,
"loss": 0.0,
"step": 39
},
{
"epoch": 2.8034934497816595,
"grad_norm": NaN,
"learning_rate": 1.1183705925499948e-05,
"loss": 0.0,
"step": 40
},
{
"epoch": 2.8733624454148474,
"grad_norm": NaN,
"learning_rate": 1.0527380929884324e-05,
"loss": 0.0,
"step": 41
},
{
"epoch": 2.943231441048035,
"grad_norm": NaN,
"learning_rate": 1.013203894673168e-05,
"loss": 0.0,
"step": 42
},
{
"epoch": 3.017467248908297,
"grad_norm": NaN,
"learning_rate": 1e-05,
"loss": 0.0,
"step": 43
}
],
"logging_steps": 1,
"max_steps": 43,
"num_input_tokens_seen": 0,
"num_train_epochs": 4,
"save_steps": 25,
"stateful_callbacks": {
"EarlyStoppingCallback": {
"args": {
"early_stopping_patience": 1,
"early_stopping_threshold": 0.0
},
"attributes": {
"early_stopping_patience_counter": 0
}
},
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 9.112012643421389e+16,
"train_batch_size": 2,
"trial_name": null,
"trial_params": null
}