20230822202124 / trainer_state.json
dkqjrm's picture
End of training
a040fb9
raw
history blame contribute delete
No virus
24.9 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 60.0,
"global_step": 9360,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.4693140794223827,
"eval_loss": 0.554839015007019,
"eval_runtime": 4.3616,
"eval_samples_per_second": 63.509,
"eval_steps_per_second": 8.025,
"step": 156
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.4693140794223827,
"epoch": 1.0,
"step": 156
},
{
"epoch": 2.0,
"eval_accuracy": 0.48375451263537905,
"eval_loss": 0.5564807653427124,
"eval_runtime": 4.4769,
"eval_samples_per_second": 61.873,
"eval_steps_per_second": 7.818,
"step": 312
},
{
"best_epoch": 1,
"best_eval_accuracy": 0.48375451263537905,
"epoch": 2.0,
"step": 312
},
{
"epoch": 3.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 0.5531193017959595,
"eval_runtime": 4.5245,
"eval_samples_per_second": 61.222,
"eval_steps_per_second": 7.736,
"step": 468
},
{
"best_epoch": 1,
"best_eval_accuracy": 0.48375451263537905,
"epoch": 3.0,
"step": 468
},
{
"epoch": 3.21,
"learning_rate": 0.0028397435897435895,
"loss": 0.6259,
"step": 500
},
{
"epoch": 4.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 0.5810030698776245,
"eval_runtime": 4.5312,
"eval_samples_per_second": 61.131,
"eval_steps_per_second": 7.724,
"step": 624
},
{
"best_epoch": 1,
"best_eval_accuracy": 0.48375451263537905,
"epoch": 4.0,
"step": 624
},
{
"epoch": 5.0,
"eval_accuracy": 0.5595667870036101,
"eval_loss": 0.6009803414344788,
"eval_runtime": 4.5226,
"eval_samples_per_second": 61.249,
"eval_steps_per_second": 7.739,
"step": 780
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5595667870036101,
"epoch": 5.0,
"step": 780
},
{
"epoch": 6.0,
"eval_accuracy": 0.6462093862815884,
"eval_loss": 0.49691498279571533,
"eval_runtime": 4.5117,
"eval_samples_per_second": 61.396,
"eval_steps_per_second": 7.758,
"step": 936
},
{
"best_epoch": 5,
"best_eval_accuracy": 0.6462093862815884,
"epoch": 6.0,
"step": 936
},
{
"epoch": 6.41,
"learning_rate": 0.00267948717948718,
"loss": 0.5907,
"step": 1000
},
{
"epoch": 7.0,
"eval_accuracy": 0.5487364620938628,
"eval_loss": 0.7981559634208679,
"eval_runtime": 4.518,
"eval_samples_per_second": 61.31,
"eval_steps_per_second": 7.747,
"step": 1092
},
{
"best_epoch": 5,
"best_eval_accuracy": 0.6462093862815884,
"epoch": 7.0,
"step": 1092
},
{
"epoch": 8.0,
"eval_accuracy": 0.631768953068592,
"eval_loss": 0.4882575571537018,
"eval_runtime": 4.5152,
"eval_samples_per_second": 61.349,
"eval_steps_per_second": 7.752,
"step": 1248
},
{
"best_epoch": 5,
"best_eval_accuracy": 0.6462093862815884,
"epoch": 8.0,
"step": 1248
},
{
"epoch": 9.0,
"eval_accuracy": 0.6931407942238267,
"eval_loss": 0.4714406132698059,
"eval_runtime": 4.5186,
"eval_samples_per_second": 61.302,
"eval_steps_per_second": 7.746,
"step": 1404
},
{
"best_epoch": 8,
"best_eval_accuracy": 0.6931407942238267,
"epoch": 9.0,
"step": 1404
},
{
"epoch": 9.62,
"learning_rate": 0.0025192307692307693,
"loss": 0.5602,
"step": 1500
},
{
"epoch": 10.0,
"eval_accuracy": 0.555956678700361,
"eval_loss": 0.9236112236976624,
"eval_runtime": 4.512,
"eval_samples_per_second": 61.391,
"eval_steps_per_second": 7.757,
"step": 1560
},
{
"best_epoch": 8,
"best_eval_accuracy": 0.6931407942238267,
"epoch": 10.0,
"step": 1560
},
{
"epoch": 11.0,
"eval_accuracy": 0.6967509025270758,
"eval_loss": 0.49723225831985474,
"eval_runtime": 4.5165,
"eval_samples_per_second": 61.331,
"eval_steps_per_second": 7.749,
"step": 1716
},
{
"best_epoch": 10,
"best_eval_accuracy": 0.6967509025270758,
"epoch": 11.0,
"step": 1716
},
{
"epoch": 12.0,
"eval_accuracy": 0.6895306859205776,
"eval_loss": 0.5116312503814697,
"eval_runtime": 4.5179,
"eval_samples_per_second": 61.311,
"eval_steps_per_second": 7.747,
"step": 1872
},
{
"best_epoch": 10,
"best_eval_accuracy": 0.6967509025270758,
"epoch": 12.0,
"step": 1872
},
{
"epoch": 12.82,
"learning_rate": 0.002358974358974359,
"loss": 0.5015,
"step": 2000
},
{
"epoch": 13.0,
"eval_accuracy": 0.7075812274368231,
"eval_loss": 0.4912594258785248,
"eval_runtime": 4.519,
"eval_samples_per_second": 61.296,
"eval_steps_per_second": 7.745,
"step": 2028
},
{
"best_epoch": 12,
"best_eval_accuracy": 0.7075812274368231,
"epoch": 13.0,
"step": 2028
},
{
"epoch": 14.0,
"eval_accuracy": 0.7111913357400722,
"eval_loss": 0.4682758152484894,
"eval_runtime": 4.5179,
"eval_samples_per_second": 61.311,
"eval_steps_per_second": 7.747,
"step": 2184
},
{
"best_epoch": 13,
"best_eval_accuracy": 0.7111913357400722,
"epoch": 14.0,
"step": 2184
},
{
"epoch": 15.0,
"eval_accuracy": 0.6895306859205776,
"eval_loss": 0.5264927744865417,
"eval_runtime": 4.5188,
"eval_samples_per_second": 61.3,
"eval_steps_per_second": 7.745,
"step": 2340
},
{
"best_epoch": 13,
"best_eval_accuracy": 0.7111913357400722,
"epoch": 15.0,
"step": 2340
},
{
"epoch": 16.0,
"eval_accuracy": 0.703971119133574,
"eval_loss": 0.4616451859474182,
"eval_runtime": 4.5164,
"eval_samples_per_second": 61.332,
"eval_steps_per_second": 7.749,
"step": 2496
},
{
"best_epoch": 13,
"best_eval_accuracy": 0.7111913357400722,
"epoch": 16.0,
"step": 2496
},
{
"epoch": 16.03,
"learning_rate": 0.0021987179487179486,
"loss": 0.4782,
"step": 2500
},
{
"epoch": 17.0,
"eval_accuracy": 0.6678700361010831,
"eval_loss": 0.5787555575370789,
"eval_runtime": 4.5274,
"eval_samples_per_second": 61.183,
"eval_steps_per_second": 7.731,
"step": 2652
},
{
"best_epoch": 13,
"best_eval_accuracy": 0.7111913357400722,
"epoch": 17.0,
"step": 2652
},
{
"epoch": 18.0,
"eval_accuracy": 0.7292418772563177,
"eval_loss": 0.44711267948150635,
"eval_runtime": 4.5354,
"eval_samples_per_second": 61.076,
"eval_steps_per_second": 7.717,
"step": 2808
},
{
"best_epoch": 17,
"best_eval_accuracy": 0.7292418772563177,
"epoch": 18.0,
"step": 2808
},
{
"epoch": 19.0,
"eval_accuracy": 0.7545126353790613,
"eval_loss": 0.458781361579895,
"eval_runtime": 4.5233,
"eval_samples_per_second": 61.239,
"eval_steps_per_second": 7.738,
"step": 2964
},
{
"best_epoch": 18,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 19.0,
"step": 2964
},
{
"epoch": 19.23,
"learning_rate": 0.0020384615384615385,
"loss": 0.4628,
"step": 3000
},
{
"epoch": 20.0,
"eval_accuracy": 0.6425992779783394,
"eval_loss": 0.6477251648902893,
"eval_runtime": 4.5142,
"eval_samples_per_second": 61.362,
"eval_steps_per_second": 7.753,
"step": 3120
},
{
"best_epoch": 18,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 20.0,
"step": 3120
},
{
"epoch": 21.0,
"eval_accuracy": 0.6967509025270758,
"eval_loss": 0.5305241942405701,
"eval_runtime": 4.5156,
"eval_samples_per_second": 61.343,
"eval_steps_per_second": 7.751,
"step": 3276
},
{
"best_epoch": 18,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 21.0,
"step": 3276
},
{
"epoch": 22.0,
"eval_accuracy": 0.7292418772563177,
"eval_loss": 0.4549444615840912,
"eval_runtime": 4.5147,
"eval_samples_per_second": 61.355,
"eval_steps_per_second": 7.752,
"step": 3432
},
{
"best_epoch": 18,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 22.0,
"step": 3432
},
{
"epoch": 22.44,
"learning_rate": 0.0018782051282051281,
"loss": 0.4248,
"step": 3500
},
{
"epoch": 23.0,
"eval_accuracy": 0.7256317689530686,
"eval_loss": 0.510131299495697,
"eval_runtime": 4.5083,
"eval_samples_per_second": 61.443,
"eval_steps_per_second": 7.764,
"step": 3588
},
{
"best_epoch": 18,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 23.0,
"step": 3588
},
{
"epoch": 24.0,
"eval_accuracy": 0.7184115523465704,
"eval_loss": 0.47630512714385986,
"eval_runtime": 4.5103,
"eval_samples_per_second": 61.415,
"eval_steps_per_second": 7.76,
"step": 3744
},
{
"best_epoch": 18,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 24.0,
"step": 3744
},
{
"epoch": 25.0,
"eval_accuracy": 0.6895306859205776,
"eval_loss": 0.580871045589447,
"eval_runtime": 4.5211,
"eval_samples_per_second": 61.269,
"eval_steps_per_second": 7.742,
"step": 3900
},
{
"best_epoch": 18,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 25.0,
"step": 3900
},
{
"epoch": 25.64,
"learning_rate": 0.0017179487179487178,
"loss": 0.4067,
"step": 4000
},
{
"epoch": 26.0,
"eval_accuracy": 0.7472924187725631,
"eval_loss": 0.44606083631515503,
"eval_runtime": 4.512,
"eval_samples_per_second": 61.392,
"eval_steps_per_second": 7.757,
"step": 4056
},
{
"best_epoch": 18,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 26.0,
"step": 4056
},
{
"epoch": 27.0,
"eval_accuracy": 0.7472924187725631,
"eval_loss": 0.44597113132476807,
"eval_runtime": 4.5146,
"eval_samples_per_second": 61.356,
"eval_steps_per_second": 7.753,
"step": 4212
},
{
"best_epoch": 18,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 27.0,
"step": 4212
},
{
"epoch": 28.0,
"eval_accuracy": 0.7509025270758123,
"eval_loss": 0.4453907907009125,
"eval_runtime": 4.5068,
"eval_samples_per_second": 61.462,
"eval_steps_per_second": 7.766,
"step": 4368
},
{
"best_epoch": 18,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 28.0,
"step": 4368
},
{
"epoch": 28.85,
"learning_rate": 0.0015576923076923079,
"loss": 0.3941,
"step": 4500
},
{
"epoch": 29.0,
"eval_accuracy": 0.7364620938628159,
"eval_loss": 0.4664019048213959,
"eval_runtime": 4.5147,
"eval_samples_per_second": 61.355,
"eval_steps_per_second": 7.752,
"step": 4524
},
{
"best_epoch": 18,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 29.0,
"step": 4524
},
{
"epoch": 30.0,
"eval_accuracy": 0.7292418772563177,
"eval_loss": 0.5038701295852661,
"eval_runtime": 4.5095,
"eval_samples_per_second": 61.426,
"eval_steps_per_second": 7.761,
"step": 4680
},
{
"best_epoch": 18,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 30.0,
"step": 4680
},
{
"epoch": 31.0,
"eval_accuracy": 0.7472924187725631,
"eval_loss": 0.45480838418006897,
"eval_runtime": 4.5065,
"eval_samples_per_second": 61.467,
"eval_steps_per_second": 7.767,
"step": 4836
},
{
"best_epoch": 18,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 31.0,
"step": 4836
},
{
"epoch": 32.0,
"eval_accuracy": 0.7436823104693141,
"eval_loss": 0.448424369096756,
"eval_runtime": 4.5029,
"eval_samples_per_second": 61.516,
"eval_steps_per_second": 7.773,
"step": 4992
},
{
"best_epoch": 18,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 32.0,
"step": 4992
},
{
"epoch": 32.05,
"learning_rate": 0.0013974358974358976,
"loss": 0.3749,
"step": 5000
},
{
"epoch": 33.0,
"eval_accuracy": 0.7472924187725631,
"eval_loss": 0.49240007996559143,
"eval_runtime": 4.5076,
"eval_samples_per_second": 61.452,
"eval_steps_per_second": 7.765,
"step": 5148
},
{
"best_epoch": 18,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 33.0,
"step": 5148
},
{
"epoch": 34.0,
"eval_accuracy": 0.7472924187725631,
"eval_loss": 0.45687469840049744,
"eval_runtime": 4.5091,
"eval_samples_per_second": 61.432,
"eval_steps_per_second": 7.762,
"step": 5304
},
{
"best_epoch": 18,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 34.0,
"step": 5304
},
{
"epoch": 35.0,
"eval_accuracy": 0.7617328519855595,
"eval_loss": 0.4603608548641205,
"eval_runtime": 4.5099,
"eval_samples_per_second": 61.42,
"eval_steps_per_second": 7.761,
"step": 5460
},
{
"best_epoch": 34,
"best_eval_accuracy": 0.7617328519855595,
"epoch": 35.0,
"step": 5460
},
{
"epoch": 35.26,
"learning_rate": 0.0012371794871794872,
"loss": 0.3586,
"step": 5500
},
{
"epoch": 36.0,
"eval_accuracy": 0.7653429602888087,
"eval_loss": 0.4447592794895172,
"eval_runtime": 4.5158,
"eval_samples_per_second": 61.34,
"eval_steps_per_second": 7.751,
"step": 5616
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 36.0,
"step": 5616
},
{
"epoch": 37.0,
"eval_accuracy": 0.7364620938628159,
"eval_loss": 0.47678714990615845,
"eval_runtime": 4.5221,
"eval_samples_per_second": 61.254,
"eval_steps_per_second": 7.74,
"step": 5772
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 37.0,
"step": 5772
},
{
"epoch": 38.0,
"eval_accuracy": 0.7472924187725631,
"eval_loss": 0.5052057504653931,
"eval_runtime": 4.5169,
"eval_samples_per_second": 61.325,
"eval_steps_per_second": 7.749,
"step": 5928
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 38.0,
"step": 5928
},
{
"epoch": 38.46,
"learning_rate": 0.0010769230769230769,
"loss": 0.3521,
"step": 6000
},
{
"epoch": 39.0,
"eval_accuracy": 0.7328519855595668,
"eval_loss": 0.5166675448417664,
"eval_runtime": 4.5231,
"eval_samples_per_second": 61.241,
"eval_steps_per_second": 7.738,
"step": 6084
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 39.0,
"step": 6084
},
{
"epoch": 40.0,
"eval_accuracy": 0.7509025270758123,
"eval_loss": 0.4424862563610077,
"eval_runtime": 4.5215,
"eval_samples_per_second": 61.263,
"eval_steps_per_second": 7.741,
"step": 6240
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 40.0,
"step": 6240
},
{
"epoch": 41.0,
"eval_accuracy": 0.7545126353790613,
"eval_loss": 0.47295689582824707,
"eval_runtime": 4.5231,
"eval_samples_per_second": 61.241,
"eval_steps_per_second": 7.738,
"step": 6396
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 41.0,
"step": 6396
},
{
"epoch": 41.67,
"learning_rate": 0.0009166666666666668,
"loss": 0.3407,
"step": 6500
},
{
"epoch": 42.0,
"eval_accuracy": 0.7509025270758123,
"eval_loss": 0.4623565077781677,
"eval_runtime": 4.5243,
"eval_samples_per_second": 61.225,
"eval_steps_per_second": 7.736,
"step": 6552
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 42.0,
"step": 6552
},
{
"epoch": 43.0,
"eval_accuracy": 0.7509025270758123,
"eval_loss": 0.4847128987312317,
"eval_runtime": 4.5246,
"eval_samples_per_second": 61.221,
"eval_steps_per_second": 7.736,
"step": 6708
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 43.0,
"step": 6708
},
{
"epoch": 44.0,
"eval_accuracy": 0.7328519855595668,
"eval_loss": 0.5370722413063049,
"eval_runtime": 4.5236,
"eval_samples_per_second": 61.234,
"eval_steps_per_second": 7.737,
"step": 6864
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 44.0,
"step": 6864
},
{
"epoch": 44.87,
"learning_rate": 0.0007564102564102564,
"loss": 0.3329,
"step": 7000
},
{
"epoch": 45.0,
"eval_accuracy": 0.7545126353790613,
"eval_loss": 0.48414450883865356,
"eval_runtime": 4.531,
"eval_samples_per_second": 61.134,
"eval_steps_per_second": 7.725,
"step": 7020
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 45.0,
"step": 7020
},
{
"epoch": 46.0,
"eval_accuracy": 0.7364620938628159,
"eval_loss": 0.4815019369125366,
"eval_runtime": 4.5295,
"eval_samples_per_second": 61.154,
"eval_steps_per_second": 7.727,
"step": 7176
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 46.0,
"step": 7176
},
{
"epoch": 47.0,
"eval_accuracy": 0.7509025270758123,
"eval_loss": 0.4678334891796112,
"eval_runtime": 4.5262,
"eval_samples_per_second": 61.199,
"eval_steps_per_second": 7.733,
"step": 7332
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 47.0,
"step": 7332
},
{
"epoch": 48.0,
"eval_accuracy": 0.7472924187725631,
"eval_loss": 0.49180135130882263,
"eval_runtime": 4.527,
"eval_samples_per_second": 61.188,
"eval_steps_per_second": 7.731,
"step": 7488
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 48.0,
"step": 7488
},
{
"epoch": 48.08,
"learning_rate": 0.0005961538461538461,
"loss": 0.3235,
"step": 7500
},
{
"epoch": 49.0,
"eval_accuracy": 0.7581227436823105,
"eval_loss": 0.459226131439209,
"eval_runtime": 4.528,
"eval_samples_per_second": 61.175,
"eval_steps_per_second": 7.73,
"step": 7644
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 49.0,
"step": 7644
},
{
"epoch": 50.0,
"eval_accuracy": 0.7436823104693141,
"eval_loss": 0.5004814267158508,
"eval_runtime": 4.529,
"eval_samples_per_second": 61.162,
"eval_steps_per_second": 7.728,
"step": 7800
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 50.0,
"step": 7800
},
{
"epoch": 51.0,
"eval_accuracy": 0.7545126353790613,
"eval_loss": 0.4776909351348877,
"eval_runtime": 4.5302,
"eval_samples_per_second": 61.145,
"eval_steps_per_second": 7.726,
"step": 7956
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 51.0,
"step": 7956
},
{
"epoch": 51.28,
"learning_rate": 0.00043589743589743596,
"loss": 0.3193,
"step": 8000
},
{
"epoch": 52.0,
"eval_accuracy": 0.7545126353790613,
"eval_loss": 0.45583781599998474,
"eval_runtime": 4.5285,
"eval_samples_per_second": 61.168,
"eval_steps_per_second": 7.729,
"step": 8112
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 52.0,
"step": 8112
},
{
"epoch": 53.0,
"eval_accuracy": 0.7436823104693141,
"eval_loss": 0.48702728748321533,
"eval_runtime": 4.5349,
"eval_samples_per_second": 61.082,
"eval_steps_per_second": 7.718,
"step": 8268
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 53.0,
"step": 8268
},
{
"epoch": 54.0,
"eval_accuracy": 0.7436823104693141,
"eval_loss": 0.47922226786613464,
"eval_runtime": 4.5301,
"eval_samples_per_second": 61.146,
"eval_steps_per_second": 7.726,
"step": 8424
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 54.0,
"step": 8424
},
{
"epoch": 54.49,
"learning_rate": 0.0002756410256410257,
"loss": 0.3132,
"step": 8500
},
{
"epoch": 55.0,
"eval_accuracy": 0.7436823104693141,
"eval_loss": 0.46733495593070984,
"eval_runtime": 4.5359,
"eval_samples_per_second": 61.069,
"eval_steps_per_second": 7.716,
"step": 8580
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 55.0,
"step": 8580
},
{
"epoch": 56.0,
"eval_accuracy": 0.7436823104693141,
"eval_loss": 0.4943315386772156,
"eval_runtime": 4.5312,
"eval_samples_per_second": 61.132,
"eval_steps_per_second": 7.724,
"step": 8736
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 56.0,
"step": 8736
},
{
"epoch": 57.0,
"eval_accuracy": 0.7436823104693141,
"eval_loss": 0.49698954820632935,
"eval_runtime": 4.5298,
"eval_samples_per_second": 61.151,
"eval_steps_per_second": 7.727,
"step": 8892
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 57.0,
"step": 8892
},
{
"epoch": 57.69,
"learning_rate": 0.0001153846153846154,
"loss": 0.311,
"step": 9000
},
{
"epoch": 58.0,
"eval_accuracy": 0.740072202166065,
"eval_loss": 0.49142444133758545,
"eval_runtime": 4.5346,
"eval_samples_per_second": 61.086,
"eval_steps_per_second": 7.718,
"step": 9048
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 58.0,
"step": 9048
},
{
"epoch": 59.0,
"eval_accuracy": 0.7436823104693141,
"eval_loss": 0.4886566698551178,
"eval_runtime": 4.5139,
"eval_samples_per_second": 61.367,
"eval_steps_per_second": 7.754,
"step": 9204
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 59.0,
"step": 9204
},
{
"epoch": 60.0,
"eval_accuracy": 0.7436823104693141,
"eval_loss": 0.48362648487091064,
"eval_runtime": 4.5024,
"eval_samples_per_second": 61.522,
"eval_steps_per_second": 7.774,
"step": 9360
},
{
"best_epoch": 35,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 60.0,
"step": 9360
},
{
"epoch": 60.0,
"step": 9360,
"total_flos": 6.96152728406016e+16,
"train_loss": 0.41104679596729765,
"train_runtime": 3875.9051,
"train_samples_per_second": 38.546,
"train_steps_per_second": 2.415
}
],
"max_steps": 9360,
"num_train_epochs": 60,
"total_flos": 6.96152728406016e+16,
"trial_name": null,
"trial_params": null
}