20230821215300 / trainer_state.json
Onutoa's picture
End of training
23b77aa
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 60.0,
"global_step": 18720,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.516245487364621,
"eval_loss": 30.45633316040039,
"eval_runtime": 6.9248,
"eval_samples_per_second": 40.001,
"eval_steps_per_second": 5.054,
"step": 312
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.516245487364621,
"epoch": 1.0,
"step": 312
},
{
"epoch": 1.6,
"learning_rate": 0.0009732905982905983,
"loss": 31.8281,
"step": 500
},
{
"epoch": 2.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 28.268251419067383,
"eval_runtime": 6.8798,
"eval_samples_per_second": 40.263,
"eval_steps_per_second": 5.087,
"step": 624
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.516245487364621,
"epoch": 2.0,
"step": 624
},
{
"epoch": 3.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 22.482925415039062,
"eval_runtime": 6.8633,
"eval_samples_per_second": 40.36,
"eval_steps_per_second": 5.1,
"step": 936
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.516245487364621,
"epoch": 3.0,
"step": 936
},
{
"epoch": 3.21,
"learning_rate": 0.0009465811965811966,
"loss": 26.6026,
"step": 1000
},
{
"epoch": 4.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 17.250818252563477,
"eval_runtime": 6.8768,
"eval_samples_per_second": 40.281,
"eval_steps_per_second": 5.09,
"step": 1248
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.516245487364621,
"epoch": 4.0,
"step": 1248
},
{
"epoch": 4.81,
"learning_rate": 0.0009198717948717949,
"loss": 20.7188,
"step": 1500
},
{
"epoch": 5.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 15.695619583129883,
"eval_runtime": 6.9281,
"eval_samples_per_second": 39.982,
"eval_steps_per_second": 5.052,
"step": 1560
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 5.0,
"step": 1560
},
{
"epoch": 6.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 14.759888648986816,
"eval_runtime": 6.832,
"eval_samples_per_second": 40.545,
"eval_steps_per_second": 5.123,
"step": 1872
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 6.0,
"step": 1872
},
{
"epoch": 6.41,
"learning_rate": 0.0008931623931623932,
"loss": 18.7808,
"step": 2000
},
{
"epoch": 7.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 14.433088302612305,
"eval_runtime": 6.8638,
"eval_samples_per_second": 40.356,
"eval_steps_per_second": 5.099,
"step": 2184
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 7.0,
"step": 2184
},
{
"epoch": 8.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 13.9365873336792,
"eval_runtime": 6.8545,
"eval_samples_per_second": 40.411,
"eval_steps_per_second": 5.106,
"step": 2496
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 8.0,
"step": 2496
},
{
"epoch": 8.01,
"learning_rate": 0.0008664529914529915,
"loss": 18.0838,
"step": 2500
},
{
"epoch": 9.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 13.634007453918457,
"eval_runtime": 6.7394,
"eval_samples_per_second": 41.102,
"eval_steps_per_second": 5.193,
"step": 2808
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 9.0,
"step": 2808
},
{
"epoch": 9.62,
"learning_rate": 0.0008397435897435898,
"loss": 17.722,
"step": 3000
},
{
"epoch": 10.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 13.437921524047852,
"eval_runtime": 6.8897,
"eval_samples_per_second": 40.205,
"eval_steps_per_second": 5.08,
"step": 3120
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 10.0,
"step": 3120
},
{
"epoch": 11.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 13.439308166503906,
"eval_runtime": 6.8739,
"eval_samples_per_second": 40.297,
"eval_steps_per_second": 5.092,
"step": 3432
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 11.0,
"step": 3432
},
{
"epoch": 11.22,
"learning_rate": 0.0008130341880341881,
"loss": 17.4783,
"step": 3500
},
{
"epoch": 12.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 13.137593269348145,
"eval_runtime": 6.874,
"eval_samples_per_second": 40.297,
"eval_steps_per_second": 5.092,
"step": 3744
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 12.0,
"step": 3744
},
{
"epoch": 12.82,
"learning_rate": 0.0007863247863247863,
"loss": 17.2699,
"step": 4000
},
{
"epoch": 13.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 12.95992374420166,
"eval_runtime": 6.8727,
"eval_samples_per_second": 40.304,
"eval_steps_per_second": 5.093,
"step": 4056
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 13.0,
"step": 4056
},
{
"epoch": 14.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 12.848048210144043,
"eval_runtime": 6.8528,
"eval_samples_per_second": 40.421,
"eval_steps_per_second": 5.107,
"step": 4368
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 14.0,
"step": 4368
},
{
"epoch": 14.42,
"learning_rate": 0.0007596153846153846,
"loss": 17.0966,
"step": 4500
},
{
"epoch": 15.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 12.781341552734375,
"eval_runtime": 6.8525,
"eval_samples_per_second": 40.423,
"eval_steps_per_second": 5.108,
"step": 4680
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 15.0,
"step": 4680
},
{
"epoch": 16.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 12.691984176635742,
"eval_runtime": 6.9197,
"eval_samples_per_second": 40.03,
"eval_steps_per_second": 5.058,
"step": 4992
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 16.0,
"step": 4992
},
{
"epoch": 16.03,
"learning_rate": 0.0007329059829059829,
"loss": 16.9613,
"step": 5000
},
{
"epoch": 17.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 12.569376945495605,
"eval_runtime": 6.837,
"eval_samples_per_second": 40.515,
"eval_steps_per_second": 5.119,
"step": 5304
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 17.0,
"step": 5304
},
{
"epoch": 17.63,
"learning_rate": 0.0007061965811965813,
"loss": 16.848,
"step": 5500
},
{
"epoch": 18.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 12.51942253112793,
"eval_runtime": 6.9126,
"eval_samples_per_second": 40.072,
"eval_steps_per_second": 5.063,
"step": 5616
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 18.0,
"step": 5616
},
{
"epoch": 19.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 12.459056854248047,
"eval_runtime": 6.8379,
"eval_samples_per_second": 40.509,
"eval_steps_per_second": 5.119,
"step": 5928
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 19.0,
"step": 5928
},
{
"epoch": 19.23,
"learning_rate": 0.0006794871794871796,
"loss": 16.7661,
"step": 6000
},
{
"epoch": 20.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 12.382737159729004,
"eval_runtime": 6.8814,
"eval_samples_per_second": 40.253,
"eval_steps_per_second": 5.086,
"step": 6240
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 20.0,
"step": 6240
},
{
"epoch": 20.83,
"learning_rate": 0.0006527777777777778,
"loss": 16.6825,
"step": 6500
},
{
"epoch": 21.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 12.341012001037598,
"eval_runtime": 6.8719,
"eval_samples_per_second": 40.309,
"eval_steps_per_second": 5.093,
"step": 6552
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 21.0,
"step": 6552
},
{
"epoch": 22.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 12.324116706848145,
"eval_runtime": 6.8995,
"eval_samples_per_second": 40.148,
"eval_steps_per_second": 5.073,
"step": 6864
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 22.0,
"step": 6864
},
{
"epoch": 22.44,
"learning_rate": 0.0006260683760683761,
"loss": 16.5963,
"step": 7000
},
{
"epoch": 23.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 12.329614639282227,
"eval_runtime": 6.8549,
"eval_samples_per_second": 40.409,
"eval_steps_per_second": 5.106,
"step": 7176
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 23.0,
"step": 7176
},
{
"epoch": 24.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 12.261089324951172,
"eval_runtime": 6.8822,
"eval_samples_per_second": 40.249,
"eval_steps_per_second": 5.086,
"step": 7488
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 24.0,
"step": 7488
},
{
"epoch": 24.04,
"learning_rate": 0.0005993589743589744,
"loss": 16.5513,
"step": 7500
},
{
"epoch": 25.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 12.151515007019043,
"eval_runtime": 6.8798,
"eval_samples_per_second": 40.263,
"eval_steps_per_second": 5.087,
"step": 7800
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 25.0,
"step": 7800
},
{
"epoch": 25.64,
"learning_rate": 0.0005726495726495727,
"loss": 16.4926,
"step": 8000
},
{
"epoch": 26.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 12.119367599487305,
"eval_runtime": 6.8242,
"eval_samples_per_second": 40.591,
"eval_steps_per_second": 5.129,
"step": 8112
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 26.0,
"step": 8112
},
{
"epoch": 27.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 12.105155944824219,
"eval_runtime": 6.9189,
"eval_samples_per_second": 40.035,
"eval_steps_per_second": 5.059,
"step": 8424
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 27.0,
"step": 8424
},
{
"epoch": 27.24,
"learning_rate": 0.000545940170940171,
"loss": 16.4398,
"step": 8500
},
{
"epoch": 28.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 12.051624298095703,
"eval_runtime": 6.8467,
"eval_samples_per_second": 40.457,
"eval_steps_per_second": 5.112,
"step": 8736
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 28.0,
"step": 8736
},
{
"epoch": 28.85,
"learning_rate": 0.0005192307692307693,
"loss": 16.399,
"step": 9000
},
{
"epoch": 29.0,
"eval_accuracy": 0.49458483754512633,
"eval_loss": 12.021004676818848,
"eval_runtime": 6.9157,
"eval_samples_per_second": 40.054,
"eval_steps_per_second": 5.061,
"step": 9048
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 29.0,
"step": 9048
},
{
"epoch": 30.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 12.005374908447266,
"eval_runtime": 6.9233,
"eval_samples_per_second": 40.01,
"eval_steps_per_second": 5.055,
"step": 9360
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 30.0,
"step": 9360
},
{
"epoch": 30.45,
"learning_rate": 0.0004925213675213676,
"loss": 16.3657,
"step": 9500
},
{
"epoch": 31.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 11.996041297912598,
"eval_runtime": 6.8696,
"eval_samples_per_second": 40.323,
"eval_steps_per_second": 5.095,
"step": 9672
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 31.0,
"step": 9672
},
{
"epoch": 32.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 11.954824447631836,
"eval_runtime": 6.8336,
"eval_samples_per_second": 40.535,
"eval_steps_per_second": 5.122,
"step": 9984
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 32.0,
"step": 9984
},
{
"epoch": 32.05,
"learning_rate": 0.00046581196581196583,
"loss": 16.3306,
"step": 10000
},
{
"epoch": 33.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 11.933246612548828,
"eval_runtime": 6.8702,
"eval_samples_per_second": 40.319,
"eval_steps_per_second": 5.094,
"step": 10296
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 33.0,
"step": 10296
},
{
"epoch": 33.65,
"learning_rate": 0.0004391025641025641,
"loss": 16.294,
"step": 10500
},
{
"epoch": 34.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.914789199829102,
"eval_runtime": 6.8807,
"eval_samples_per_second": 40.258,
"eval_steps_per_second": 5.087,
"step": 10608
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 34.0,
"step": 10608
},
{
"epoch": 35.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.92249870300293,
"eval_runtime": 6.8751,
"eval_samples_per_second": 40.29,
"eval_steps_per_second": 5.091,
"step": 10920
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 35.0,
"step": 10920
},
{
"epoch": 35.26,
"learning_rate": 0.0004123931623931624,
"loss": 16.2657,
"step": 11000
},
{
"epoch": 36.0,
"eval_accuracy": 0.47653429602888087,
"eval_loss": 11.87264633178711,
"eval_runtime": 6.849,
"eval_samples_per_second": 40.444,
"eval_steps_per_second": 5.11,
"step": 11232
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 36.0,
"step": 11232
},
{
"epoch": 36.86,
"learning_rate": 0.0003856837606837607,
"loss": 16.2465,
"step": 11500
},
{
"epoch": 37.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.845185279846191,
"eval_runtime": 6.8882,
"eval_samples_per_second": 40.214,
"eval_steps_per_second": 5.081,
"step": 11544
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 37.0,
"step": 11544
},
{
"epoch": 38.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 11.834094047546387,
"eval_runtime": 6.8409,
"eval_samples_per_second": 40.492,
"eval_steps_per_second": 5.116,
"step": 11856
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 38.0,
"step": 11856
},
{
"epoch": 38.46,
"learning_rate": 0.000358974358974359,
"loss": 16.208,
"step": 12000
},
{
"epoch": 39.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.823224067687988,
"eval_runtime": 6.842,
"eval_samples_per_second": 40.485,
"eval_steps_per_second": 5.115,
"step": 12168
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 39.0,
"step": 12168
},
{
"epoch": 40.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.797883033752441,
"eval_runtime": 6.8695,
"eval_samples_per_second": 40.323,
"eval_steps_per_second": 5.095,
"step": 12480
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 40.0,
"step": 12480
},
{
"epoch": 40.06,
"learning_rate": 0.00033226495726495727,
"loss": 16.191,
"step": 12500
},
{
"epoch": 41.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.789505004882812,
"eval_runtime": 6.908,
"eval_samples_per_second": 40.098,
"eval_steps_per_second": 5.067,
"step": 12792
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 41.0,
"step": 12792
},
{
"epoch": 41.67,
"learning_rate": 0.0003055555555555556,
"loss": 16.1729,
"step": 13000
},
{
"epoch": 42.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.839137077331543,
"eval_runtime": 6.9254,
"eval_samples_per_second": 39.998,
"eval_steps_per_second": 5.054,
"step": 13104
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 42.0,
"step": 13104
},
{
"epoch": 43.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 11.761892318725586,
"eval_runtime": 3.298,
"eval_samples_per_second": 83.991,
"eval_steps_per_second": 10.613,
"step": 13416
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 43.0,
"step": 13416
},
{
"epoch": 43.27,
"learning_rate": 0.0002788461538461539,
"loss": 16.1571,
"step": 13500
},
{
"epoch": 44.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.750166893005371,
"eval_runtime": 3.2851,
"eval_samples_per_second": 84.319,
"eval_steps_per_second": 10.654,
"step": 13728
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 44.0,
"step": 13728
},
{
"epoch": 44.87,
"learning_rate": 0.00025213675213675216,
"loss": 16.1268,
"step": 14000
},
{
"epoch": 45.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.751955032348633,
"eval_runtime": 3.2892,
"eval_samples_per_second": 84.215,
"eval_steps_per_second": 10.641,
"step": 14040
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 45.0,
"step": 14040
},
{
"epoch": 46.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.75387954711914,
"eval_runtime": 3.3027,
"eval_samples_per_second": 83.87,
"eval_steps_per_second": 10.597,
"step": 14352
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 46.0,
"step": 14352
},
{
"epoch": 46.47,
"learning_rate": 0.00022542735042735044,
"loss": 16.1194,
"step": 14500
},
{
"epoch": 47.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.754090309143066,
"eval_runtime": 3.2928,
"eval_samples_per_second": 84.122,
"eval_steps_per_second": 10.629,
"step": 14664
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 47.0,
"step": 14664
},
{
"epoch": 48.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 11.712992668151855,
"eval_runtime": 3.2869,
"eval_samples_per_second": 84.274,
"eval_steps_per_second": 10.648,
"step": 14976
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 48.0,
"step": 14976
},
{
"epoch": 48.08,
"learning_rate": 0.0001987179487179487,
"loss": 16.11,
"step": 15000
},
{
"epoch": 49.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 11.701953887939453,
"eval_runtime": 3.2907,
"eval_samples_per_second": 84.176,
"eval_steps_per_second": 10.636,
"step": 15288
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 49.0,
"step": 15288
},
{
"epoch": 49.68,
"learning_rate": 0.00017200854700854702,
"loss": 16.0989,
"step": 15500
},
{
"epoch": 50.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.694924354553223,
"eval_runtime": 3.2959,
"eval_samples_per_second": 84.044,
"eval_steps_per_second": 10.619,
"step": 15600
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 50.0,
"step": 15600
},
{
"epoch": 51.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.702590942382812,
"eval_runtime": 3.3086,
"eval_samples_per_second": 83.721,
"eval_steps_per_second": 10.579,
"step": 15912
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 51.0,
"step": 15912
},
{
"epoch": 51.28,
"learning_rate": 0.00014529914529914532,
"loss": 16.0802,
"step": 16000
},
{
"epoch": 52.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.70562744140625,
"eval_runtime": 3.3021,
"eval_samples_per_second": 83.885,
"eval_steps_per_second": 10.599,
"step": 16224
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 52.0,
"step": 16224
},
{
"epoch": 52.88,
"learning_rate": 0.00011858974358974358,
"loss": 16.0765,
"step": 16500
},
{
"epoch": 53.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 11.679302215576172,
"eval_runtime": 3.3016,
"eval_samples_per_second": 83.899,
"eval_steps_per_second": 10.601,
"step": 16536
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 53.0,
"step": 16536
},
{
"epoch": 54.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 11.675891876220703,
"eval_runtime": 3.3127,
"eval_samples_per_second": 83.618,
"eval_steps_per_second": 10.566,
"step": 16848
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 54.0,
"step": 16848
},
{
"epoch": 54.49,
"learning_rate": 9.188034188034189e-05,
"loss": 16.0629,
"step": 17000
},
{
"epoch": 55.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.671220779418945,
"eval_runtime": 3.2982,
"eval_samples_per_second": 83.984,
"eval_steps_per_second": 10.612,
"step": 17160
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 55.0,
"step": 17160
},
{
"epoch": 56.0,
"eval_accuracy": 0.49458483754512633,
"eval_loss": 11.665974617004395,
"eval_runtime": 3.3072,
"eval_samples_per_second": 83.758,
"eval_steps_per_second": 10.583,
"step": 17472
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 56.0,
"step": 17472
},
{
"epoch": 56.09,
"learning_rate": 6.517094017094018e-05,
"loss": 16.0619,
"step": 17500
},
{
"epoch": 57.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.666152000427246,
"eval_runtime": 3.2973,
"eval_samples_per_second": 84.009,
"eval_steps_per_second": 10.615,
"step": 17784
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 57.0,
"step": 17784
},
{
"epoch": 57.69,
"learning_rate": 3.846153846153846e-05,
"loss": 16.0566,
"step": 18000
},
{
"epoch": 58.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.664301872253418,
"eval_runtime": 3.2855,
"eval_samples_per_second": 84.311,
"eval_steps_per_second": 10.653,
"step": 18096
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 58.0,
"step": 18096
},
{
"epoch": 59.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.661619186401367,
"eval_runtime": 3.3182,
"eval_samples_per_second": 83.479,
"eval_steps_per_second": 10.548,
"step": 18408
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 59.0,
"step": 18408
},
{
"epoch": 59.29,
"learning_rate": 1.1752136752136752e-05,
"loss": 16.0547,
"step": 18500
},
{
"epoch": 60.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 11.661417961120605,
"eval_runtime": 3.2798,
"eval_samples_per_second": 84.456,
"eval_steps_per_second": 10.671,
"step": 18720
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5270758122743683,
"epoch": 60.0,
"step": 18720
},
{
"epoch": 60.0,
"step": 18720,
"total_flos": 6.96152728406016e+16,
"train_loss": 17.346778074085204,
"train_runtime": 5573.2397,
"train_samples_per_second": 26.807,
"train_steps_per_second": 3.359
}
],
"max_steps": 18720,
"num_train_epochs": 60,
"total_flos": 6.96152728406016e+16,
"trial_name": null,
"trial_params": null
}