ardaspear's picture
Training in progress, step 99, checkpoint
84f8034 verified
raw
history blame
9 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.02915408967091217,
"eval_steps": 9,
"global_step": 99,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.00029448575425163807,
"eval_loss": 2.0751140117645264,
"eval_runtime": 392.124,
"eval_samples_per_second": 14.587,
"eval_steps_per_second": 1.823,
"step": 1
},
{
"epoch": 0.0008834572627549142,
"grad_norm": 45.209259033203125,
"learning_rate": 3e-05,
"loss": 8.1417,
"step": 3
},
{
"epoch": 0.0017669145255098284,
"grad_norm": 18.42889404296875,
"learning_rate": 6e-05,
"loss": 7.1146,
"step": 6
},
{
"epoch": 0.002650371788264743,
"grad_norm": 13.495532035827637,
"learning_rate": 9e-05,
"loss": 4.8841,
"step": 9
},
{
"epoch": 0.002650371788264743,
"eval_loss": 1.0568773746490479,
"eval_runtime": 394.6909,
"eval_samples_per_second": 14.492,
"eval_steps_per_second": 1.812,
"step": 9
},
{
"epoch": 0.003533829051019657,
"grad_norm": 11.649324417114258,
"learning_rate": 9.987820251299122e-05,
"loss": 3.78,
"step": 12
},
{
"epoch": 0.004417286313774571,
"grad_norm": 8.40984058380127,
"learning_rate": 9.924038765061042e-05,
"loss": 3.8775,
"step": 15
},
{
"epoch": 0.005300743576529486,
"grad_norm": 7.721532344818115,
"learning_rate": 9.806308479691595e-05,
"loss": 3.3807,
"step": 18
},
{
"epoch": 0.005300743576529486,
"eval_loss": 0.9211275577545166,
"eval_runtime": 394.5819,
"eval_samples_per_second": 14.496,
"eval_steps_per_second": 1.812,
"step": 18
},
{
"epoch": 0.0061842008392844,
"grad_norm": 7.611982345581055,
"learning_rate": 9.635919272833938e-05,
"loss": 3.5986,
"step": 21
},
{
"epoch": 0.007067658102039314,
"grad_norm": 7.277873992919922,
"learning_rate": 9.414737964294636e-05,
"loss": 3.7016,
"step": 24
},
{
"epoch": 0.007951115364794228,
"grad_norm": 9.115721702575684,
"learning_rate": 9.145187862775209e-05,
"loss": 3.4477,
"step": 27
},
{
"epoch": 0.007951115364794228,
"eval_loss": 0.8963199853897095,
"eval_runtime": 394.8293,
"eval_samples_per_second": 14.487,
"eval_steps_per_second": 1.811,
"step": 27
},
{
"epoch": 0.008834572627549142,
"grad_norm": 7.103928565979004,
"learning_rate": 8.83022221559489e-05,
"loss": 3.4513,
"step": 30
},
{
"epoch": 0.009718029890304056,
"grad_norm": 7.205202102661133,
"learning_rate": 8.473291852294987e-05,
"loss": 3.4688,
"step": 33
},
{
"epoch": 0.010601487153058971,
"grad_norm": 7.348625183105469,
"learning_rate": 8.07830737662829e-05,
"loss": 3.675,
"step": 36
},
{
"epoch": 0.010601487153058971,
"eval_loss": 0.8810924291610718,
"eval_runtime": 394.7481,
"eval_samples_per_second": 14.49,
"eval_steps_per_second": 1.811,
"step": 36
},
{
"epoch": 0.011484944415813885,
"grad_norm": 6.225783348083496,
"learning_rate": 7.649596321166024e-05,
"loss": 3.5757,
"step": 39
},
{
"epoch": 0.0123684016785688,
"grad_norm": 5.358260631561279,
"learning_rate": 7.191855733945387e-05,
"loss": 3.7153,
"step": 42
},
{
"epoch": 0.013251858941323713,
"grad_norm": 5.572663307189941,
"learning_rate": 6.710100716628344e-05,
"loss": 3.1355,
"step": 45
},
{
"epoch": 0.013251858941323713,
"eval_loss": 0.8735527396202087,
"eval_runtime": 394.6194,
"eval_samples_per_second": 14.495,
"eval_steps_per_second": 1.812,
"step": 45
},
{
"epoch": 0.014135316204078627,
"grad_norm": 6.943516254425049,
"learning_rate": 6.209609477998338e-05,
"loss": 3.6308,
"step": 48
},
{
"epoch": 0.015018773466833541,
"grad_norm": 7.251932144165039,
"learning_rate": 5.695865504800327e-05,
"loss": 3.4569,
"step": 51
},
{
"epoch": 0.015902230729588455,
"grad_norm": 6.627459526062012,
"learning_rate": 5.174497483512506e-05,
"loss": 3.3764,
"step": 54
},
{
"epoch": 0.015902230729588455,
"eval_loss": 0.86681067943573,
"eval_runtime": 394.4174,
"eval_samples_per_second": 14.502,
"eval_steps_per_second": 1.813,
"step": 54
},
{
"epoch": 0.01678568799234337,
"grad_norm": 6.218847751617432,
"learning_rate": 4.6512176312793736e-05,
"loss": 3.5507,
"step": 57
},
{
"epoch": 0.017669145255098283,
"grad_norm": 6.713202953338623,
"learning_rate": 4.131759111665349e-05,
"loss": 3.2378,
"step": 60
},
{
"epoch": 0.0185526025178532,
"grad_norm": 6.8192548751831055,
"learning_rate": 3.6218132209150045e-05,
"loss": 3.4102,
"step": 63
},
{
"epoch": 0.0185526025178532,
"eval_loss": 0.8609820604324341,
"eval_runtime": 394.5997,
"eval_samples_per_second": 14.496,
"eval_steps_per_second": 1.812,
"step": 63
},
{
"epoch": 0.01943605978060811,
"grad_norm": 6.667771816253662,
"learning_rate": 3.12696703292044e-05,
"loss": 3.5032,
"step": 66
},
{
"epoch": 0.020319517043363027,
"grad_norm": 6.182212829589844,
"learning_rate": 2.6526421860705473e-05,
"loss": 3.9349,
"step": 69
},
{
"epoch": 0.021202974306117943,
"grad_norm": 5.752615928649902,
"learning_rate": 2.2040354826462668e-05,
"loss": 3.2835,
"step": 72
},
{
"epoch": 0.021202974306117943,
"eval_loss": 0.8611263036727905,
"eval_runtime": 394.6571,
"eval_samples_per_second": 14.494,
"eval_steps_per_second": 1.812,
"step": 72
},
{
"epoch": 0.022086431568872855,
"grad_norm": 5.570738792419434,
"learning_rate": 1.7860619515673033e-05,
"loss": 3.4432,
"step": 75
},
{
"epoch": 0.02296988883162777,
"grad_norm": 5.480838775634766,
"learning_rate": 1.4033009983067452e-05,
"loss": 3.2455,
"step": 78
},
{
"epoch": 0.023853346094382683,
"grad_norm": 5.031819820404053,
"learning_rate": 1.0599462319663905e-05,
"loss": 3.3175,
"step": 81
},
{
"epoch": 0.023853346094382683,
"eval_loss": 0.8552263379096985,
"eval_runtime": 394.699,
"eval_samples_per_second": 14.492,
"eval_steps_per_second": 1.812,
"step": 81
},
{
"epoch": 0.0247368033571376,
"grad_norm": 5.9167256355285645,
"learning_rate": 7.597595192178702e-06,
"loss": 3.5925,
"step": 84
},
{
"epoch": 0.02562026061989251,
"grad_norm": 6.1761155128479,
"learning_rate": 5.060297685041659e-06,
"loss": 3.0721,
"step": 87
},
{
"epoch": 0.026503717882647427,
"grad_norm": 5.942464351654053,
"learning_rate": 3.0153689607045845e-06,
"loss": 3.1059,
"step": 90
},
{
"epoch": 0.026503717882647427,
"eval_loss": 0.853427529335022,
"eval_runtime": 394.7149,
"eval_samples_per_second": 14.491,
"eval_steps_per_second": 1.811,
"step": 90
},
{
"epoch": 0.027387175145402343,
"grad_norm": 5.856942653656006,
"learning_rate": 1.4852136862001764e-06,
"loss": 3.0394,
"step": 93
},
{
"epoch": 0.028270632408157255,
"grad_norm": 5.515998363494873,
"learning_rate": 4.865965629214819e-07,
"loss": 3.1025,
"step": 96
},
{
"epoch": 0.02915408967091217,
"grad_norm": 5.73545503616333,
"learning_rate": 3.04586490452119e-08,
"loss": 3.2693,
"step": 99
},
{
"epoch": 0.02915408967091217,
"eval_loss": 0.8529771566390991,
"eval_runtime": 394.735,
"eval_samples_per_second": 14.491,
"eval_steps_per_second": 1.811,
"step": 99
}
],
"logging_steps": 3,
"max_steps": 100,
"num_input_tokens_seen": 0,
"num_train_epochs": 1,
"save_steps": 9,
"stateful_callbacks": {
"TrainerControl": {
"args": {
"should_epoch_stop": false,
"should_evaluate": false,
"should_log": false,
"should_save": true,
"should_training_stop": false
},
"attributes": {}
}
},
"total_flos": 1.3928086979267789e+17,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}