20230817153600 / trainer_state.json
Onutoa's picture
End of training
907905b
{
"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": 0.51985559566787,
"eval_loss": 0.5319512486457825,
"eval_runtime": 9.1619,
"eval_samples_per_second": 30.234,
"eval_steps_per_second": 3.82,
"step": 312
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.51985559566787,
"epoch": 1.0,
"step": 312
},
{
"epoch": 1.6,
"learning_rate": 0.004866452991452991,
"loss": 0.6084,
"step": 500
},
{
"epoch": 2.0,
"eval_accuracy": 0.5306859205776173,
"eval_loss": 0.505980372428894,
"eval_runtime": 8.9739,
"eval_samples_per_second": 30.867,
"eval_steps_per_second": 3.9,
"step": 624
},
{
"best_epoch": 1,
"best_eval_accuracy": 0.5306859205776173,
"epoch": 2.0,
"step": 624
},
{
"epoch": 3.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 0.476485937833786,
"eval_runtime": 9.1085,
"eval_samples_per_second": 30.411,
"eval_steps_per_second": 3.843,
"step": 936
},
{
"best_epoch": 1,
"best_eval_accuracy": 0.5306859205776173,
"epoch": 3.0,
"step": 936
},
{
"epoch": 3.21,
"learning_rate": 0.004732905982905983,
"loss": 0.4786,
"step": 1000
},
{
"epoch": 4.0,
"eval_accuracy": 0.4729241877256318,
"eval_loss": 0.38619130849838257,
"eval_runtime": 9.0544,
"eval_samples_per_second": 30.593,
"eval_steps_per_second": 3.866,
"step": 1248
},
{
"best_epoch": 1,
"best_eval_accuracy": 0.5306859205776173,
"epoch": 4.0,
"step": 1248
},
{
"epoch": 4.81,
"learning_rate": 0.004599358974358974,
"loss": 0.5253,
"step": 1500
},
{
"epoch": 5.0,
"eval_accuracy": 0.5342960288808665,
"eval_loss": 0.5090705156326294,
"eval_runtime": 9.0148,
"eval_samples_per_second": 30.727,
"eval_steps_per_second": 3.882,
"step": 1560
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5342960288808665,
"epoch": 5.0,
"step": 1560
},
{
"epoch": 6.0,
"eval_accuracy": 0.4981949458483754,
"eval_loss": 0.376774400472641,
"eval_runtime": 9.0141,
"eval_samples_per_second": 30.73,
"eval_steps_per_second": 3.883,
"step": 1872
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5342960288808665,
"epoch": 6.0,
"step": 1872
},
{
"epoch": 6.41,
"learning_rate": 0.004465811965811966,
"loss": 0.5144,
"step": 2000
},
{
"epoch": 7.0,
"eval_accuracy": 0.5270758122743683,
"eval_loss": 0.44060468673706055,
"eval_runtime": 9.0181,
"eval_samples_per_second": 30.716,
"eval_steps_per_second": 3.881,
"step": 2184
},
{
"best_epoch": 4,
"best_eval_accuracy": 0.5342960288808665,
"epoch": 7.0,
"step": 2184
},
{
"epoch": 8.0,
"eval_accuracy": 0.631768953068592,
"eval_loss": 0.3461342751979828,
"eval_runtime": 8.9803,
"eval_samples_per_second": 30.845,
"eval_steps_per_second": 3.897,
"step": 2496
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.631768953068592,
"epoch": 8.0,
"step": 2496
},
{
"epoch": 8.01,
"learning_rate": 0.004332264957264957,
"loss": 0.4407,
"step": 2500
},
{
"epoch": 9.0,
"eval_accuracy": 0.6534296028880866,
"eval_loss": 0.34802812337875366,
"eval_runtime": 8.976,
"eval_samples_per_second": 30.86,
"eval_steps_per_second": 3.899,
"step": 2808
},
{
"best_epoch": 8,
"best_eval_accuracy": 0.6534296028880866,
"epoch": 9.0,
"step": 2808
},
{
"epoch": 9.62,
"learning_rate": 0.004198717948717949,
"loss": 0.4002,
"step": 3000
},
{
"epoch": 10.0,
"eval_accuracy": 0.6642599277978339,
"eval_loss": 0.362854540348053,
"eval_runtime": 9.0085,
"eval_samples_per_second": 30.749,
"eval_steps_per_second": 3.885,
"step": 3120
},
{
"best_epoch": 9,
"best_eval_accuracy": 0.6642599277978339,
"epoch": 10.0,
"step": 3120
},
{
"epoch": 11.0,
"eval_accuracy": 0.555956678700361,
"eval_loss": 0.39493829011917114,
"eval_runtime": 9.036,
"eval_samples_per_second": 30.655,
"eval_steps_per_second": 3.873,
"step": 3432
},
{
"best_epoch": 9,
"best_eval_accuracy": 0.6642599277978339,
"epoch": 11.0,
"step": 3432
},
{
"epoch": 11.22,
"learning_rate": 0.00406517094017094,
"loss": 0.3576,
"step": 3500
},
{
"epoch": 12.0,
"eval_accuracy": 0.7075812274368231,
"eval_loss": 0.336588591337204,
"eval_runtime": 9.0067,
"eval_samples_per_second": 30.755,
"eval_steps_per_second": 3.886,
"step": 3744
},
{
"best_epoch": 11,
"best_eval_accuracy": 0.7075812274368231,
"epoch": 12.0,
"step": 3744
},
{
"epoch": 12.82,
"learning_rate": 0.003931623931623931,
"loss": 0.346,
"step": 4000
},
{
"epoch": 13.0,
"eval_accuracy": 0.703971119133574,
"eval_loss": 0.3301502466201782,
"eval_runtime": 9.0221,
"eval_samples_per_second": 30.702,
"eval_steps_per_second": 3.879,
"step": 4056
},
{
"best_epoch": 11,
"best_eval_accuracy": 0.7075812274368231,
"epoch": 13.0,
"step": 4056
},
{
"epoch": 14.0,
"eval_accuracy": 0.7184115523465704,
"eval_loss": 0.3293074369430542,
"eval_runtime": 9.0321,
"eval_samples_per_second": 30.668,
"eval_steps_per_second": 3.875,
"step": 4368
},
{
"best_epoch": 13,
"best_eval_accuracy": 0.7184115523465704,
"epoch": 14.0,
"step": 4368
},
{
"epoch": 14.42,
"learning_rate": 0.003798076923076923,
"loss": 0.337,
"step": 4500
},
{
"epoch": 15.0,
"eval_accuracy": 0.7292418772563177,
"eval_loss": 0.33005112409591675,
"eval_runtime": 9.0187,
"eval_samples_per_second": 30.714,
"eval_steps_per_second": 3.881,
"step": 4680
},
{
"best_epoch": 14,
"best_eval_accuracy": 0.7292418772563177,
"epoch": 15.0,
"step": 4680
},
{
"epoch": 16.0,
"eval_accuracy": 0.7328519855595668,
"eval_loss": 0.33984842896461487,
"eval_runtime": 9.0474,
"eval_samples_per_second": 30.616,
"eval_steps_per_second": 3.869,
"step": 4992
},
{
"best_epoch": 15,
"best_eval_accuracy": 0.7328519855595668,
"epoch": 16.0,
"step": 4992
},
{
"epoch": 16.03,
"learning_rate": 0.003664529914529914,
"loss": 0.3323,
"step": 5000
},
{
"epoch": 17.0,
"eval_accuracy": 0.7256317689530686,
"eval_loss": 0.35551536083221436,
"eval_runtime": 9.0226,
"eval_samples_per_second": 30.701,
"eval_steps_per_second": 3.879,
"step": 5304
},
{
"best_epoch": 15,
"best_eval_accuracy": 0.7328519855595668,
"epoch": 17.0,
"step": 5304
},
{
"epoch": 17.63,
"learning_rate": 0.003530982905982906,
"loss": 0.3245,
"step": 5500
},
{
"epoch": 18.0,
"eval_accuracy": 0.703971119133574,
"eval_loss": 0.32570627331733704,
"eval_runtime": 9.0171,
"eval_samples_per_second": 30.719,
"eval_steps_per_second": 3.882,
"step": 5616
},
{
"best_epoch": 15,
"best_eval_accuracy": 0.7328519855595668,
"epoch": 18.0,
"step": 5616
},
{
"epoch": 19.0,
"eval_accuracy": 0.7292418772563177,
"eval_loss": 0.3257431089878082,
"eval_runtime": 9.0276,
"eval_samples_per_second": 30.684,
"eval_steps_per_second": 3.877,
"step": 5928
},
{
"best_epoch": 15,
"best_eval_accuracy": 0.7328519855595668,
"epoch": 19.0,
"step": 5928
},
{
"epoch": 19.23,
"learning_rate": 0.0033974358974358976,
"loss": 0.3243,
"step": 6000
},
{
"epoch": 20.0,
"eval_accuracy": 0.7220216606498195,
"eval_loss": 0.3507075309753418,
"eval_runtime": 8.9982,
"eval_samples_per_second": 30.784,
"eval_steps_per_second": 3.89,
"step": 6240
},
{
"best_epoch": 15,
"best_eval_accuracy": 0.7328519855595668,
"epoch": 20.0,
"step": 6240
},
{
"epoch": 20.83,
"learning_rate": 0.003263888888888889,
"loss": 0.3144,
"step": 6500
},
{
"epoch": 21.0,
"eval_accuracy": 0.7184115523465704,
"eval_loss": 0.40468713641166687,
"eval_runtime": 9.0484,
"eval_samples_per_second": 30.613,
"eval_steps_per_second": 3.868,
"step": 6552
},
{
"best_epoch": 15,
"best_eval_accuracy": 0.7328519855595668,
"epoch": 21.0,
"step": 6552
},
{
"epoch": 22.0,
"eval_accuracy": 0.7220216606498195,
"eval_loss": 0.36198413372039795,
"eval_runtime": 9.0445,
"eval_samples_per_second": 30.626,
"eval_steps_per_second": 3.87,
"step": 6864
},
{
"best_epoch": 15,
"best_eval_accuracy": 0.7328519855595668,
"epoch": 22.0,
"step": 6864
},
{
"epoch": 22.44,
"learning_rate": 0.0031303418803418806,
"loss": 0.3135,
"step": 7000
},
{
"epoch": 23.0,
"eval_accuracy": 0.7148014440433214,
"eval_loss": 0.3739970028400421,
"eval_runtime": 9.0931,
"eval_samples_per_second": 30.463,
"eval_steps_per_second": 3.849,
"step": 7176
},
{
"best_epoch": 15,
"best_eval_accuracy": 0.7328519855595668,
"epoch": 23.0,
"step": 7176
},
{
"epoch": 24.0,
"eval_accuracy": 0.7436823104693141,
"eval_loss": 0.33150357007980347,
"eval_runtime": 9.0913,
"eval_samples_per_second": 30.469,
"eval_steps_per_second": 3.85,
"step": 7488
},
{
"best_epoch": 23,
"best_eval_accuracy": 0.7436823104693141,
"epoch": 24.0,
"step": 7488
},
{
"epoch": 24.04,
"learning_rate": 0.0029967948717948716,
"loss": 0.3063,
"step": 7500
},
{
"epoch": 25.0,
"eval_accuracy": 0.7436823104693141,
"eval_loss": 0.3291415572166443,
"eval_runtime": 9.0712,
"eval_samples_per_second": 30.536,
"eval_steps_per_second": 3.858,
"step": 7800
},
{
"best_epoch": 23,
"best_eval_accuracy": 0.7436823104693141,
"epoch": 25.0,
"step": 7800
},
{
"epoch": 25.64,
"learning_rate": 0.002863247863247863,
"loss": 0.2986,
"step": 8000
},
{
"epoch": 26.0,
"eval_accuracy": 0.7292418772563177,
"eval_loss": 0.36258506774902344,
"eval_runtime": 9.1485,
"eval_samples_per_second": 30.278,
"eval_steps_per_second": 3.826,
"step": 8112
},
{
"best_epoch": 23,
"best_eval_accuracy": 0.7436823104693141,
"epoch": 26.0,
"step": 8112
},
{
"epoch": 27.0,
"eval_accuracy": 0.740072202166065,
"eval_loss": 0.3281010687351227,
"eval_runtime": 9.0555,
"eval_samples_per_second": 30.589,
"eval_steps_per_second": 3.865,
"step": 8424
},
{
"best_epoch": 23,
"best_eval_accuracy": 0.7436823104693141,
"epoch": 27.0,
"step": 8424
},
{
"epoch": 27.24,
"learning_rate": 0.0027297008547008546,
"loss": 0.2956,
"step": 8500
},
{
"epoch": 28.0,
"eval_accuracy": 0.740072202166065,
"eval_loss": 0.33756041526794434,
"eval_runtime": 9.1719,
"eval_samples_per_second": 30.201,
"eval_steps_per_second": 3.816,
"step": 8736
},
{
"best_epoch": 23,
"best_eval_accuracy": 0.7436823104693141,
"epoch": 28.0,
"step": 8736
},
{
"epoch": 28.85,
"learning_rate": 0.0025961538461538466,
"loss": 0.2927,
"step": 9000
},
{
"epoch": 29.0,
"eval_accuracy": 0.7545126353790613,
"eval_loss": 0.3309880197048187,
"eval_runtime": 9.0985,
"eval_samples_per_second": 30.445,
"eval_steps_per_second": 3.847,
"step": 9048
},
{
"best_epoch": 28,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 29.0,
"step": 9048
},
{
"epoch": 30.0,
"eval_accuracy": 0.7436823104693141,
"eval_loss": 0.34706664085388184,
"eval_runtime": 8.8071,
"eval_samples_per_second": 31.452,
"eval_steps_per_second": 3.974,
"step": 9360
},
{
"best_epoch": 28,
"best_eval_accuracy": 0.7545126353790613,
"epoch": 30.0,
"step": 9360
},
{
"epoch": 30.45,
"learning_rate": 0.0024626068376068376,
"loss": 0.2853,
"step": 9500
},
{
"epoch": 31.0,
"eval_accuracy": 0.7581227436823105,
"eval_loss": 0.3204677700996399,
"eval_runtime": 9.1308,
"eval_samples_per_second": 30.337,
"eval_steps_per_second": 3.833,
"step": 9672
},
{
"best_epoch": 30,
"best_eval_accuracy": 0.7581227436823105,
"epoch": 31.0,
"step": 9672
},
{
"epoch": 32.0,
"eval_accuracy": 0.7509025270758123,
"eval_loss": 0.32714536786079407,
"eval_runtime": 9.0779,
"eval_samples_per_second": 30.514,
"eval_steps_per_second": 3.855,
"step": 9984
},
{
"best_epoch": 30,
"best_eval_accuracy": 0.7581227436823105,
"epoch": 32.0,
"step": 9984
},
{
"epoch": 32.05,
"learning_rate": 0.002329059829059829,
"loss": 0.2861,
"step": 10000
},
{
"epoch": 33.0,
"eval_accuracy": 0.7509025270758123,
"eval_loss": 0.3423185646533966,
"eval_runtime": 9.1078,
"eval_samples_per_second": 30.414,
"eval_steps_per_second": 3.843,
"step": 10296
},
{
"best_epoch": 30,
"best_eval_accuracy": 0.7581227436823105,
"epoch": 33.0,
"step": 10296
},
{
"epoch": 33.65,
"learning_rate": 0.0021955128205128206,
"loss": 0.2782,
"step": 10500
},
{
"epoch": 34.0,
"eval_accuracy": 0.7472924187725631,
"eval_loss": 0.3327659070491791,
"eval_runtime": 9.1866,
"eval_samples_per_second": 30.153,
"eval_steps_per_second": 3.81,
"step": 10608
},
{
"best_epoch": 30,
"best_eval_accuracy": 0.7581227436823105,
"epoch": 34.0,
"step": 10608
},
{
"epoch": 35.0,
"eval_accuracy": 0.7617328519855595,
"eval_loss": 0.32888853549957275,
"eval_runtime": 9.2412,
"eval_samples_per_second": 29.974,
"eval_steps_per_second": 3.787,
"step": 10920
},
{
"best_epoch": 34,
"best_eval_accuracy": 0.7617328519855595,
"epoch": 35.0,
"step": 10920
},
{
"epoch": 35.26,
"learning_rate": 0.002061965811965812,
"loss": 0.2756,
"step": 11000
},
{
"epoch": 36.0,
"eval_accuracy": 0.7581227436823105,
"eval_loss": 0.330919086933136,
"eval_runtime": 9.2586,
"eval_samples_per_second": 29.918,
"eval_steps_per_second": 3.78,
"step": 11232
},
{
"best_epoch": 34,
"best_eval_accuracy": 0.7617328519855595,
"epoch": 36.0,
"step": 11232
},
{
"epoch": 36.86,
"learning_rate": 0.0019284188034188036,
"loss": 0.2758,
"step": 11500
},
{
"epoch": 37.0,
"eval_accuracy": 0.7364620938628159,
"eval_loss": 0.37405356764793396,
"eval_runtime": 9.2,
"eval_samples_per_second": 30.109,
"eval_steps_per_second": 3.804,
"step": 11544
},
{
"best_epoch": 34,
"best_eval_accuracy": 0.7617328519855595,
"epoch": 37.0,
"step": 11544
},
{
"epoch": 38.0,
"eval_accuracy": 0.7472924187725631,
"eval_loss": 0.33260834217071533,
"eval_runtime": 4.3573,
"eval_samples_per_second": 63.571,
"eval_steps_per_second": 8.032,
"step": 11856
},
{
"best_epoch": 34,
"best_eval_accuracy": 0.7617328519855595,
"epoch": 38.0,
"step": 11856
},
{
"epoch": 38.46,
"learning_rate": 0.0017948717948717949,
"loss": 0.2714,
"step": 12000
},
{
"epoch": 39.0,
"eval_accuracy": 0.7184115523465704,
"eval_loss": 0.36113840341567993,
"eval_runtime": 10.6137,
"eval_samples_per_second": 26.098,
"eval_steps_per_second": 3.298,
"step": 12168
},
{
"best_epoch": 34,
"best_eval_accuracy": 0.7617328519855595,
"epoch": 39.0,
"step": 12168
},
{
"epoch": 40.0,
"eval_accuracy": 0.7472924187725631,
"eval_loss": 0.33517616987228394,
"eval_runtime": 10.5938,
"eval_samples_per_second": 26.147,
"eval_steps_per_second": 3.304,
"step": 12480
},
{
"best_epoch": 34,
"best_eval_accuracy": 0.7617328519855595,
"epoch": 40.0,
"step": 12480
},
{
"epoch": 40.06,
"learning_rate": 0.0016613247863247864,
"loss": 0.2687,
"step": 12500
},
{
"epoch": 41.0,
"eval_accuracy": 0.7436823104693141,
"eval_loss": 0.34048405289649963,
"eval_runtime": 10.5168,
"eval_samples_per_second": 26.339,
"eval_steps_per_second": 3.328,
"step": 12792
},
{
"best_epoch": 34,
"best_eval_accuracy": 0.7617328519855595,
"epoch": 41.0,
"step": 12792
},
{
"epoch": 41.67,
"learning_rate": 0.0015277777777777779,
"loss": 0.2685,
"step": 13000
},
{
"epoch": 42.0,
"eval_accuracy": 0.7364620938628159,
"eval_loss": 0.34080803394317627,
"eval_runtime": 10.8178,
"eval_samples_per_second": 25.606,
"eval_steps_per_second": 3.235,
"step": 13104
},
{
"best_epoch": 34,
"best_eval_accuracy": 0.7617328519855595,
"epoch": 42.0,
"step": 13104
},
{
"epoch": 43.0,
"eval_accuracy": 0.7472924187725631,
"eval_loss": 0.34136372804641724,
"eval_runtime": 10.56,
"eval_samples_per_second": 26.231,
"eval_steps_per_second": 3.314,
"step": 13416
},
{
"best_epoch": 34,
"best_eval_accuracy": 0.7617328519855595,
"epoch": 43.0,
"step": 13416
},
{
"epoch": 43.27,
"learning_rate": 0.0013942307692307694,
"loss": 0.2649,
"step": 13500
},
{
"epoch": 44.0,
"eval_accuracy": 0.7545126353790613,
"eval_loss": 0.3369286060333252,
"eval_runtime": 10.5795,
"eval_samples_per_second": 26.183,
"eval_steps_per_second": 3.308,
"step": 13728
},
{
"best_epoch": 34,
"best_eval_accuracy": 0.7617328519855595,
"epoch": 44.0,
"step": 13728
},
{
"epoch": 44.87,
"learning_rate": 0.0012606837606837606,
"loss": 0.2615,
"step": 14000
},
{
"epoch": 45.0,
"eval_accuracy": 0.7545126353790613,
"eval_loss": 0.33710670471191406,
"eval_runtime": 10.8841,
"eval_samples_per_second": 25.45,
"eval_steps_per_second": 3.216,
"step": 14040
},
{
"best_epoch": 34,
"best_eval_accuracy": 0.7617328519855595,
"epoch": 45.0,
"step": 14040
},
{
"epoch": 46.0,
"eval_accuracy": 0.7509025270758123,
"eval_loss": 0.34283646941185,
"eval_runtime": 10.5807,
"eval_samples_per_second": 26.18,
"eval_steps_per_second": 3.308,
"step": 14352
},
{
"best_epoch": 34,
"best_eval_accuracy": 0.7617328519855595,
"epoch": 46.0,
"step": 14352
},
{
"epoch": 46.47,
"learning_rate": 0.0011271367521367521,
"loss": 0.2602,
"step": 14500
},
{
"epoch": 47.0,
"eval_accuracy": 0.7545126353790613,
"eval_loss": 0.32864174246788025,
"eval_runtime": 10.9225,
"eval_samples_per_second": 25.361,
"eval_steps_per_second": 3.204,
"step": 14664
},
{
"best_epoch": 34,
"best_eval_accuracy": 0.7617328519855595,
"epoch": 47.0,
"step": 14664
},
{
"epoch": 48.0,
"eval_accuracy": 0.7581227436823105,
"eval_loss": 0.33157122135162354,
"eval_runtime": 10.8742,
"eval_samples_per_second": 25.473,
"eval_steps_per_second": 3.219,
"step": 14976
},
{
"best_epoch": 34,
"best_eval_accuracy": 0.7617328519855595,
"epoch": 48.0,
"step": 14976
},
{
"epoch": 48.08,
"learning_rate": 0.0009935897435897436,
"loss": 0.2595,
"step": 15000
},
{
"epoch": 49.0,
"eval_accuracy": 0.7545126353790613,
"eval_loss": 0.3400510847568512,
"eval_runtime": 9.388,
"eval_samples_per_second": 29.506,
"eval_steps_per_second": 3.728,
"step": 15288
},
{
"best_epoch": 34,
"best_eval_accuracy": 0.7617328519855595,
"epoch": 49.0,
"step": 15288
},
{
"epoch": 49.68,
"learning_rate": 0.0008600427350427351,
"loss": 0.2551,
"step": 15500
},
{
"epoch": 50.0,
"eval_accuracy": 0.7653429602888087,
"eval_loss": 0.3362467288970947,
"eval_runtime": 9.2771,
"eval_samples_per_second": 29.859,
"eval_steps_per_second": 3.773,
"step": 15600
},
{
"best_epoch": 49,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 50.0,
"step": 15600
},
{
"epoch": 51.0,
"eval_accuracy": 0.7653429602888087,
"eval_loss": 0.34337136149406433,
"eval_runtime": 9.1926,
"eval_samples_per_second": 30.133,
"eval_steps_per_second": 3.807,
"step": 15912
},
{
"best_epoch": 49,
"best_eval_accuracy": 0.7653429602888087,
"epoch": 51.0,
"step": 15912
},
{
"epoch": 51.28,
"learning_rate": 0.0007264957264957266,
"loss": 0.2574,
"step": 16000
},
{
"epoch": 52.0,
"eval_accuracy": 0.7725631768953068,
"eval_loss": 0.33018356561660767,
"eval_runtime": 9.1431,
"eval_samples_per_second": 30.296,
"eval_steps_per_second": 3.828,
"step": 16224
},
{
"best_epoch": 51,
"best_eval_accuracy": 0.7725631768953068,
"epoch": 52.0,
"step": 16224
},
{
"epoch": 52.88,
"learning_rate": 0.000592948717948718,
"loss": 0.2515,
"step": 16500
},
{
"epoch": 53.0,
"eval_accuracy": 0.7472924187725631,
"eval_loss": 0.3463674485683441,
"eval_runtime": 9.139,
"eval_samples_per_second": 30.31,
"eval_steps_per_second": 3.83,
"step": 16536
},
{
"best_epoch": 51,
"best_eval_accuracy": 0.7725631768953068,
"epoch": 53.0,
"step": 16536
},
{
"epoch": 54.0,
"eval_accuracy": 0.7689530685920578,
"eval_loss": 0.3337368667125702,
"eval_runtime": 9.3533,
"eval_samples_per_second": 29.615,
"eval_steps_per_second": 3.742,
"step": 16848
},
{
"best_epoch": 51,
"best_eval_accuracy": 0.7725631768953068,
"epoch": 54.0,
"step": 16848
},
{
"epoch": 54.49,
"learning_rate": 0.00045940170940170943,
"loss": 0.252,
"step": 17000
},
{
"epoch": 55.0,
"eval_accuracy": 0.7689530685920578,
"eval_loss": 0.33643844723701477,
"eval_runtime": 9.1243,
"eval_samples_per_second": 30.359,
"eval_steps_per_second": 3.836,
"step": 17160
},
{
"best_epoch": 51,
"best_eval_accuracy": 0.7725631768953068,
"epoch": 55.0,
"step": 17160
},
{
"epoch": 56.0,
"eval_accuracy": 0.7509025270758123,
"eval_loss": 0.3417775630950928,
"eval_runtime": 8.8741,
"eval_samples_per_second": 31.214,
"eval_steps_per_second": 3.944,
"step": 17472
},
{
"best_epoch": 51,
"best_eval_accuracy": 0.7725631768953068,
"epoch": 56.0,
"step": 17472
},
{
"epoch": 56.09,
"learning_rate": 0.00032585470085470087,
"loss": 0.2497,
"step": 17500
},
{
"epoch": 57.0,
"eval_accuracy": 0.7581227436823105,
"eval_loss": 0.340709924697876,
"eval_runtime": 8.9435,
"eval_samples_per_second": 30.972,
"eval_steps_per_second": 3.913,
"step": 17784
},
{
"best_epoch": 51,
"best_eval_accuracy": 0.7725631768953068,
"epoch": 57.0,
"step": 17784
},
{
"epoch": 57.69,
"learning_rate": 0.00019230769230769233,
"loss": 0.2503,
"step": 18000
},
{
"epoch": 58.0,
"eval_accuracy": 0.7545126353790613,
"eval_loss": 0.3418755829334259,
"eval_runtime": 8.9319,
"eval_samples_per_second": 31.012,
"eval_steps_per_second": 3.919,
"step": 18096
},
{
"best_epoch": 51,
"best_eval_accuracy": 0.7725631768953068,
"epoch": 58.0,
"step": 18096
},
{
"epoch": 59.0,
"eval_accuracy": 0.776173285198556,
"eval_loss": 0.33760103583335876,
"eval_runtime": 9.2259,
"eval_samples_per_second": 30.024,
"eval_steps_per_second": 3.794,
"step": 18408
},
{
"best_epoch": 58,
"best_eval_accuracy": 0.776173285198556,
"epoch": 59.0,
"step": 18408
},
{
"epoch": 59.29,
"learning_rate": 5.876068376068376e-05,
"loss": 0.2504,
"step": 18500
},
{
"epoch": 60.0,
"eval_accuracy": 0.7725631768953068,
"eval_loss": 0.3379180431365967,
"eval_runtime": 9.2108,
"eval_samples_per_second": 30.073,
"eval_steps_per_second": 3.8,
"step": 18720
},
{
"best_epoch": 58,
"best_eval_accuracy": 0.776173285198556,
"epoch": 60.0,
"step": 18720
},
{
"epoch": 60.0,
"step": 18720,
"total_flos": 6.96152728406016e+16,
"train_loss": 0.3189461204740736,
"train_runtime": 8512.0872,
"train_samples_per_second": 17.552,
"train_steps_per_second": 2.199
}
],
"max_steps": 18720,
"num_train_epochs": 60,
"total_flos": 6.96152728406016e+16,
"trial_name": null,
"trial_params": null
}