ardaspear's picture
Training in progress, step 99, checkpoint
0aa754b verified
raw
history blame
8.96 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.3402061855670103,
"eval_steps": 9,
"global_step": 99,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.003436426116838488,
"eval_loss": 1.0753878355026245,
"eval_runtime": 70.8712,
"eval_samples_per_second": 6.914,
"eval_steps_per_second": 0.875,
"step": 1
},
{
"epoch": 0.010309278350515464,
"grad_norm": 9.508790016174316,
"learning_rate": 3e-05,
"loss": 4.2728,
"step": 3
},
{
"epoch": 0.020618556701030927,
"grad_norm": 4.23081111907959,
"learning_rate": 6e-05,
"loss": 4.2308,
"step": 6
},
{
"epoch": 0.030927835051546393,
"grad_norm": 2.994974136352539,
"learning_rate": 9e-05,
"loss": 4.0505,
"step": 9
},
{
"epoch": 0.030927835051546393,
"eval_loss": 0.9270894527435303,
"eval_runtime": 72.0129,
"eval_samples_per_second": 6.804,
"eval_steps_per_second": 0.861,
"step": 9
},
{
"epoch": 0.041237113402061855,
"grad_norm": 3.4861974716186523,
"learning_rate": 9.987820251299122e-05,
"loss": 3.3622,
"step": 12
},
{
"epoch": 0.05154639175257732,
"grad_norm": 2.4739320278167725,
"learning_rate": 9.924038765061042e-05,
"loss": 3.4222,
"step": 15
},
{
"epoch": 0.061855670103092786,
"grad_norm": 2.656764507293701,
"learning_rate": 9.806308479691595e-05,
"loss": 3.3192,
"step": 18
},
{
"epoch": 0.061855670103092786,
"eval_loss": 0.781949520111084,
"eval_runtime": 72.0068,
"eval_samples_per_second": 6.805,
"eval_steps_per_second": 0.861,
"step": 18
},
{
"epoch": 0.07216494845360824,
"grad_norm": 2.133312702178955,
"learning_rate": 9.635919272833938e-05,
"loss": 2.9592,
"step": 21
},
{
"epoch": 0.08247422680412371,
"grad_norm": 2.0654103755950928,
"learning_rate": 9.414737964294636e-05,
"loss": 3.2154,
"step": 24
},
{
"epoch": 0.09278350515463918,
"grad_norm": 1.8565651178359985,
"learning_rate": 9.145187862775209e-05,
"loss": 2.9275,
"step": 27
},
{
"epoch": 0.09278350515463918,
"eval_loss": 0.7440634965896606,
"eval_runtime": 72.0175,
"eval_samples_per_second": 6.804,
"eval_steps_per_second": 0.861,
"step": 27
},
{
"epoch": 0.10309278350515463,
"grad_norm": 2.0615859031677246,
"learning_rate": 8.83022221559489e-05,
"loss": 2.9618,
"step": 30
},
{
"epoch": 0.1134020618556701,
"grad_norm": 2.0000863075256348,
"learning_rate": 8.473291852294987e-05,
"loss": 3.0231,
"step": 33
},
{
"epoch": 0.12371134020618557,
"grad_norm": 1.8480544090270996,
"learning_rate": 8.07830737662829e-05,
"loss": 2.8036,
"step": 36
},
{
"epoch": 0.12371134020618557,
"eval_loss": 0.727074146270752,
"eval_runtime": 72.0101,
"eval_samples_per_second": 6.805,
"eval_steps_per_second": 0.861,
"step": 36
},
{
"epoch": 0.13402061855670103,
"grad_norm": 2.198150634765625,
"learning_rate": 7.649596321166024e-05,
"loss": 2.795,
"step": 39
},
{
"epoch": 0.14432989690721648,
"grad_norm": 1.8142603635787964,
"learning_rate": 7.191855733945387e-05,
"loss": 2.7169,
"step": 42
},
{
"epoch": 0.15463917525773196,
"grad_norm": 1.9104666709899902,
"learning_rate": 6.710100716628344e-05,
"loss": 2.8454,
"step": 45
},
{
"epoch": 0.15463917525773196,
"eval_loss": 0.720156729221344,
"eval_runtime": 72.0724,
"eval_samples_per_second": 6.799,
"eval_steps_per_second": 0.86,
"step": 45
},
{
"epoch": 0.16494845360824742,
"grad_norm": 3.0694377422332764,
"learning_rate": 6.209609477998338e-05,
"loss": 3.0856,
"step": 48
},
{
"epoch": 0.17525773195876287,
"grad_norm": 1.9787322282791138,
"learning_rate": 5.695865504800327e-05,
"loss": 2.83,
"step": 51
},
{
"epoch": 0.18556701030927836,
"grad_norm": 1.9755208492279053,
"learning_rate": 5.174497483512506e-05,
"loss": 2.765,
"step": 54
},
{
"epoch": 0.18556701030927836,
"eval_loss": 0.7139042615890503,
"eval_runtime": 72.0348,
"eval_samples_per_second": 6.802,
"eval_steps_per_second": 0.861,
"step": 54
},
{
"epoch": 0.1958762886597938,
"grad_norm": 1.9179588556289673,
"learning_rate": 4.6512176312793736e-05,
"loss": 2.9697,
"step": 57
},
{
"epoch": 0.20618556701030927,
"grad_norm": 2.107278823852539,
"learning_rate": 4.131759111665349e-05,
"loss": 3.0271,
"step": 60
},
{
"epoch": 0.21649484536082475,
"grad_norm": 1.985304832458496,
"learning_rate": 3.6218132209150045e-05,
"loss": 2.799,
"step": 63
},
{
"epoch": 0.21649484536082475,
"eval_loss": 0.7117459177970886,
"eval_runtime": 71.9674,
"eval_samples_per_second": 6.809,
"eval_steps_per_second": 0.862,
"step": 63
},
{
"epoch": 0.2268041237113402,
"grad_norm": 2.0945565700531006,
"learning_rate": 3.12696703292044e-05,
"loss": 2.8955,
"step": 66
},
{
"epoch": 0.23711340206185566,
"grad_norm": 2.2720227241516113,
"learning_rate": 2.6526421860705473e-05,
"loss": 2.9467,
"step": 69
},
{
"epoch": 0.24742268041237114,
"grad_norm": 1.7193487882614136,
"learning_rate": 2.2040354826462668e-05,
"loss": 2.9671,
"step": 72
},
{
"epoch": 0.24742268041237114,
"eval_loss": 0.7079923748970032,
"eval_runtime": 72.1273,
"eval_samples_per_second": 6.794,
"eval_steps_per_second": 0.86,
"step": 72
},
{
"epoch": 0.25773195876288657,
"grad_norm": 1.9435456991195679,
"learning_rate": 1.7860619515673033e-05,
"loss": 3.1961,
"step": 75
},
{
"epoch": 0.26804123711340205,
"grad_norm": 3.1002867221832275,
"learning_rate": 1.4033009983067452e-05,
"loss": 3.0302,
"step": 78
},
{
"epoch": 0.27835051546391754,
"grad_norm": 1.6273797750473022,
"learning_rate": 1.0599462319663905e-05,
"loss": 2.8564,
"step": 81
},
{
"epoch": 0.27835051546391754,
"eval_loss": 0.7072886228561401,
"eval_runtime": 72.0658,
"eval_samples_per_second": 6.799,
"eval_steps_per_second": 0.86,
"step": 81
},
{
"epoch": 0.28865979381443296,
"grad_norm": 1.9313831329345703,
"learning_rate": 7.597595192178702e-06,
"loss": 2.6863,
"step": 84
},
{
"epoch": 0.29896907216494845,
"grad_norm": 1.7214744091033936,
"learning_rate": 5.060297685041659e-06,
"loss": 2.9589,
"step": 87
},
{
"epoch": 0.30927835051546393,
"grad_norm": 1.789853811264038,
"learning_rate": 3.0153689607045845e-06,
"loss": 3.0606,
"step": 90
},
{
"epoch": 0.30927835051546393,
"eval_loss": 0.7060263752937317,
"eval_runtime": 72.1222,
"eval_samples_per_second": 6.794,
"eval_steps_per_second": 0.86,
"step": 90
},
{
"epoch": 0.31958762886597936,
"grad_norm": 1.5414116382598877,
"learning_rate": 1.4852136862001764e-06,
"loss": 2.7664,
"step": 93
},
{
"epoch": 0.32989690721649484,
"grad_norm": 1.7637780904769897,
"learning_rate": 4.865965629214819e-07,
"loss": 2.8141,
"step": 96
},
{
"epoch": 0.3402061855670103,
"grad_norm": 1.83016836643219,
"learning_rate": 3.04586490452119e-08,
"loss": 2.8253,
"step": 99
},
{
"epoch": 0.3402061855670103,
"eval_loss": 0.7058959603309631,
"eval_runtime": 71.8781,
"eval_samples_per_second": 6.817,
"eval_steps_per_second": 0.863,
"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": 3.488102718898176e+17,
"train_batch_size": 8,
"trial_name": null,
"trial_params": null
}