ebony59's picture
Model save
2f034d1 verified
{
"best_global_step": null,
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 5.0,
"eval_steps": 20,
"global_step": 130,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.19230769230769232,
"grad_norm": 0.8752671869306899,
"learning_rate": 9.692307692307693e-06,
"loss": 0.2364,
"mean_token_accuracy": 0.927388173341751,
"num_tokens": 654484.0,
"step": 5
},
{
"epoch": 0.38461538461538464,
"grad_norm": 0.5912352927421961,
"learning_rate": 9.307692307692308e-06,
"loss": 0.2175,
"mean_token_accuracy": 0.9301090151071548,
"num_tokens": 1308735.0,
"step": 10
},
{
"epoch": 0.5769230769230769,
"grad_norm": 0.5167232252277533,
"learning_rate": 8.923076923076925e-06,
"loss": 0.2043,
"mean_token_accuracy": 0.933148954808712,
"num_tokens": 1963205.0,
"step": 15
},
{
"epoch": 0.7692307692307693,
"grad_norm": 0.43810472204253587,
"learning_rate": 8.53846153846154e-06,
"loss": 0.2092,
"mean_token_accuracy": 0.9336670354008675,
"num_tokens": 2617407.0,
"step": 20
},
{
"epoch": 0.7692307692307693,
"eval_loss": 0.7984817028045654,
"eval_mean_token_accuracy": 0.7897448325157166,
"eval_num_tokens": 2617407.0,
"eval_runtime": 207.2592,
"eval_samples_per_second": 1.911,
"eval_steps_per_second": 0.121,
"step": 20
},
{
"epoch": 0.9615384615384616,
"grad_norm": 0.4229067328272521,
"learning_rate": 8.153846153846154e-06,
"loss": 0.1993,
"mean_token_accuracy": 0.9341381952166558,
"num_tokens": 3271788.0,
"step": 25
},
{
"epoch": 1.1538461538461537,
"grad_norm": 0.4038605805362403,
"learning_rate": 7.76923076923077e-06,
"loss": 0.1782,
"mean_token_accuracy": 0.9413852587342262,
"num_tokens": 3927148.0,
"step": 30
},
{
"epoch": 1.3461538461538463,
"grad_norm": 0.44386495794019754,
"learning_rate": 7.384615384615386e-06,
"loss": 0.1716,
"mean_token_accuracy": 0.9436837241053582,
"num_tokens": 4581399.0,
"step": 35
},
{
"epoch": 1.5384615384615383,
"grad_norm": 0.4248743921174713,
"learning_rate": 7e-06,
"loss": 0.169,
"mean_token_accuracy": 0.9443423271179199,
"num_tokens": 5236759.0,
"step": 40
},
{
"epoch": 1.5384615384615383,
"eval_loss": 0.8438917994499207,
"eval_mean_token_accuracy": 0.7881988358497619,
"eval_num_tokens": 5236759.0,
"eval_runtime": 206.3838,
"eval_samples_per_second": 1.919,
"eval_steps_per_second": 0.121,
"step": 40
},
{
"epoch": 1.7307692307692308,
"grad_norm": 0.39016509839724534,
"learning_rate": 6.615384615384616e-06,
"loss": 0.1703,
"mean_token_accuracy": 0.94403627961874,
"num_tokens": 5890523.0,
"step": 45
},
{
"epoch": 1.9230769230769231,
"grad_norm": 0.3919683518651608,
"learning_rate": 6.230769230769231e-06,
"loss": 0.1723,
"mean_token_accuracy": 0.9430388778448104,
"num_tokens": 6543649.0,
"step": 50
},
{
"epoch": 2.1153846153846154,
"grad_norm": 0.3777794605646071,
"learning_rate": 5.846153846153847e-06,
"loss": 0.1578,
"mean_token_accuracy": 0.948506236076355,
"num_tokens": 7198863.0,
"step": 55
},
{
"epoch": 2.3076923076923075,
"grad_norm": 0.41041127040715936,
"learning_rate": 5.461538461538461e-06,
"loss": 0.15,
"mean_token_accuracy": 0.9507905378937721,
"num_tokens": 7853347.0,
"step": 60
},
{
"epoch": 2.3076923076923075,
"eval_loss": 0.8952463269233704,
"eval_mean_token_accuracy": 0.7861712884902954,
"eval_num_tokens": 7853347.0,
"eval_runtime": 205.7768,
"eval_samples_per_second": 1.924,
"eval_steps_per_second": 0.121,
"step": 60
},
{
"epoch": 2.5,
"grad_norm": 0.3964654882595507,
"learning_rate": 5.076923076923077e-06,
"loss": 0.1497,
"mean_token_accuracy": 0.9505507811903954,
"num_tokens": 8506440.0,
"step": 65
},
{
"epoch": 2.6923076923076925,
"grad_norm": 0.3768825306789265,
"learning_rate": 4.692307692307693e-06,
"loss": 0.1503,
"mean_token_accuracy": 0.9506417199969291,
"num_tokens": 9160442.0,
"step": 70
},
{
"epoch": 2.8846153846153846,
"grad_norm": 0.398264112857023,
"learning_rate": 4.307692307692308e-06,
"loss": 0.1488,
"mean_token_accuracy": 0.9506732374429703,
"num_tokens": 9815802.0,
"step": 75
},
{
"epoch": 3.076923076923077,
"grad_norm": 0.39276972642065144,
"learning_rate": 3.923076923076923e-06,
"loss": 0.1394,
"mean_token_accuracy": 0.9544374644756317,
"num_tokens": 10470724.0,
"step": 80
},
{
"epoch": 3.076923076923077,
"eval_loss": 0.8906534910202026,
"eval_mean_token_accuracy": 0.786395034790039,
"eval_num_tokens": 10470724.0,
"eval_runtime": 206.1358,
"eval_samples_per_second": 1.921,
"eval_steps_per_second": 0.121,
"step": 80
},
{
"epoch": 3.269230769230769,
"grad_norm": 0.3730257614019165,
"learning_rate": 3.538461538461539e-06,
"loss": 0.1378,
"mean_token_accuracy": 0.9548449605703354,
"num_tokens": 11125135.0,
"step": 85
},
{
"epoch": 3.4615384615384617,
"grad_norm": 0.3683238050739676,
"learning_rate": 3.153846153846154e-06,
"loss": 0.1314,
"mean_token_accuracy": 0.9570518404245376,
"num_tokens": 11780057.0,
"step": 90
},
{
"epoch": 3.6538461538461537,
"grad_norm": 0.38257552430474834,
"learning_rate": 2.7692307692307697e-06,
"loss": 0.1313,
"mean_token_accuracy": 0.9570926904678345,
"num_tokens": 12435417.0,
"step": 95
},
{
"epoch": 3.8461538461538463,
"grad_norm": 0.36203400285990167,
"learning_rate": 2.384615384615385e-06,
"loss": 0.135,
"mean_token_accuracy": 0.9562257811427116,
"num_tokens": 13089419.0,
"step": 100
},
{
"epoch": 3.8461538461538463,
"eval_loss": 0.9335225224494934,
"eval_mean_token_accuracy": 0.7845649313926697,
"eval_num_tokens": 13089419.0,
"eval_runtime": 205.9656,
"eval_samples_per_second": 1.923,
"eval_steps_per_second": 0.121,
"step": 100
},
{
"epoch": 4.038461538461538,
"grad_norm": 0.35419211664728983,
"learning_rate": 2.0000000000000003e-06,
"loss": 0.1285,
"mean_token_accuracy": 0.9583714559674263,
"num_tokens": 13742512.0,
"step": 105
},
{
"epoch": 4.230769230769231,
"grad_norm": 0.34375461778603095,
"learning_rate": 1.6153846153846157e-06,
"loss": 0.1242,
"mean_token_accuracy": 0.9601028740406037,
"num_tokens": 14395386.0,
"step": 110
},
{
"epoch": 4.423076923076923,
"grad_norm": 0.3525911653900964,
"learning_rate": 1.230769230769231e-06,
"loss": 0.1217,
"mean_token_accuracy": 0.9608346611261368,
"num_tokens": 15049637.0,
"step": 115
},
{
"epoch": 4.615384615384615,
"grad_norm": 0.3677261206987421,
"learning_rate": 8.461538461538463e-07,
"loss": 0.1245,
"mean_token_accuracy": 0.9600024372339249,
"num_tokens": 15704997.0,
"step": 120
},
{
"epoch": 4.615384615384615,
"eval_loss": 0.9684593081474304,
"eval_mean_token_accuracy": 0.7830931186676026,
"eval_num_tokens": 15704997.0,
"eval_runtime": 205.7113,
"eval_samples_per_second": 1.925,
"eval_steps_per_second": 0.122,
"step": 120
},
{
"epoch": 4.8076923076923075,
"grad_norm": 0.35206380647203034,
"learning_rate": 4.615384615384616e-07,
"loss": 0.1222,
"mean_token_accuracy": 0.9602848619222641,
"num_tokens": 16360357.0,
"step": 125
},
{
"epoch": 5.0,
"grad_norm": 0.3554888857605734,
"learning_rate": 7.692307692307694e-08,
"loss": 0.1239,
"mean_token_accuracy": 0.959795056283474,
"num_tokens": 17014300.0,
"step": 130
},
{
"epoch": 5.0,
"step": 130,
"total_flos": 14799366782976.0,
"train_loss": 0.15786109383289632,
"train_runtime": 17510.8371,
"train_samples_per_second": 0.474,
"train_steps_per_second": 0.007
}
],
"logging_steps": 5,
"max_steps": 130,
"num_input_tokens_seen": 0,
"num_train_epochs": 5,
"save_steps": 500,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": true
},
"attributes": {}
}
},
"total_flos": 14799366782976.0,
"train_batch_size": 4,
"trial_name": null,
"trial_params": null
}