20230826083203 / trainer_state.json
dkqjrm's picture
End of training
b7a3f3e
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 80.0,
"global_step": 2000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 1.0,
"eval_accuracy": 0.62,
"eval_loss": 0.5568868517875671,
"eval_runtime": 2.9587,
"eval_samples_per_second": 33.798,
"eval_steps_per_second": 4.394,
"step": 25
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.62,
"epoch": 1.0,
"step": 25
},
{
"epoch": 2.0,
"eval_accuracy": 0.4,
"eval_loss": 0.3271646797657013,
"eval_runtime": 3.0122,
"eval_samples_per_second": 33.199,
"eval_steps_per_second": 4.316,
"step": 50
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.62,
"epoch": 2.0,
"step": 50
},
{
"epoch": 3.0,
"eval_accuracy": 0.48,
"eval_loss": 0.29993605613708496,
"eval_runtime": 3.0698,
"eval_samples_per_second": 32.575,
"eval_steps_per_second": 4.235,
"step": 75
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.62,
"epoch": 3.0,
"step": 75
},
{
"epoch": 4.0,
"eval_accuracy": 0.58,
"eval_loss": 0.3037445843219757,
"eval_runtime": 3.1074,
"eval_samples_per_second": 32.181,
"eval_steps_per_second": 4.184,
"step": 100
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.62,
"epoch": 4.0,
"step": 100
},
{
"epoch": 5.0,
"eval_accuracy": 0.39,
"eval_loss": 0.30919986963272095,
"eval_runtime": 3.1329,
"eval_samples_per_second": 31.919,
"eval_steps_per_second": 4.15,
"step": 125
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.62,
"epoch": 5.0,
"step": 125
},
{
"epoch": 6.0,
"eval_accuracy": 0.37,
"eval_loss": 0.3146528899669647,
"eval_runtime": 3.1332,
"eval_samples_per_second": 31.916,
"eval_steps_per_second": 4.149,
"step": 150
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.62,
"epoch": 6.0,
"step": 150
},
{
"epoch": 7.0,
"eval_accuracy": 0.61,
"eval_loss": 0.28715208172798157,
"eval_runtime": 3.142,
"eval_samples_per_second": 31.827,
"eval_steps_per_second": 4.138,
"step": 175
},
{
"best_epoch": 0,
"best_eval_accuracy": 0.62,
"epoch": 7.0,
"step": 175
},
{
"epoch": 8.0,
"eval_accuracy": 0.68,
"eval_loss": 0.289668470621109,
"eval_runtime": 3.1475,
"eval_samples_per_second": 31.771,
"eval_steps_per_second": 4.13,
"step": 200
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 8.0,
"step": 200
},
{
"epoch": 9.0,
"eval_accuracy": 0.41,
"eval_loss": 0.2950332760810852,
"eval_runtime": 3.1537,
"eval_samples_per_second": 31.709,
"eval_steps_per_second": 4.122,
"step": 225
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 9.0,
"step": 225
},
{
"epoch": 10.0,
"eval_accuracy": 0.63,
"eval_loss": 0.27791741490364075,
"eval_runtime": 3.1543,
"eval_samples_per_second": 31.703,
"eval_steps_per_second": 4.121,
"step": 250
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 10.0,
"step": 250
},
{
"epoch": 11.0,
"eval_accuracy": 0.41,
"eval_loss": 0.2977082133293152,
"eval_runtime": 3.1598,
"eval_samples_per_second": 31.647,
"eval_steps_per_second": 4.114,
"step": 275
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 11.0,
"step": 275
},
{
"epoch": 12.0,
"eval_accuracy": 0.59,
"eval_loss": 0.2908729612827301,
"eval_runtime": 3.1621,
"eval_samples_per_second": 31.624,
"eval_steps_per_second": 4.111,
"step": 300
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 12.0,
"step": 300
},
{
"epoch": 13.0,
"eval_accuracy": 0.49,
"eval_loss": 0.2939791679382324,
"eval_runtime": 3.1669,
"eval_samples_per_second": 31.577,
"eval_steps_per_second": 4.105,
"step": 325
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 13.0,
"step": 325
},
{
"epoch": 14.0,
"eval_accuracy": 0.49,
"eval_loss": 0.2929081618785858,
"eval_runtime": 3.1666,
"eval_samples_per_second": 31.579,
"eval_steps_per_second": 4.105,
"step": 350
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 14.0,
"step": 350
},
{
"epoch": 15.0,
"eval_accuracy": 0.49,
"eval_loss": 0.29478296637535095,
"eval_runtime": 3.1574,
"eval_samples_per_second": 31.671,
"eval_steps_per_second": 4.117,
"step": 375
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 15.0,
"step": 375
},
{
"epoch": 16.0,
"eval_accuracy": 0.57,
"eval_loss": 0.293470561504364,
"eval_runtime": 3.1585,
"eval_samples_per_second": 31.66,
"eval_steps_per_second": 4.116,
"step": 400
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 16.0,
"step": 400
},
{
"epoch": 17.0,
"eval_accuracy": 0.43,
"eval_loss": 0.29490238428115845,
"eval_runtime": 3.1586,
"eval_samples_per_second": 31.659,
"eval_steps_per_second": 4.116,
"step": 425
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 17.0,
"step": 425
},
{
"epoch": 18.0,
"eval_accuracy": 0.59,
"eval_loss": 0.29253777861595154,
"eval_runtime": 3.1606,
"eval_samples_per_second": 31.64,
"eval_steps_per_second": 4.113,
"step": 450
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 18.0,
"step": 450
},
{
"epoch": 19.0,
"eval_accuracy": 0.57,
"eval_loss": 0.2926887273788452,
"eval_runtime": 3.1587,
"eval_samples_per_second": 31.658,
"eval_steps_per_second": 4.116,
"step": 475
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 19.0,
"step": 475
},
{
"epoch": 20.0,
"learning_rate": 0.037500000000000006,
"loss": 1.2287,
"step": 500
},
{
"epoch": 20.0,
"eval_accuracy": 0.58,
"eval_loss": 0.29341670870780945,
"eval_runtime": 3.162,
"eval_samples_per_second": 31.625,
"eval_steps_per_second": 4.111,
"step": 500
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 20.0,
"step": 500
},
{
"epoch": 21.0,
"eval_accuracy": 0.44,
"eval_loss": 0.2946934700012207,
"eval_runtime": 3.164,
"eval_samples_per_second": 31.605,
"eval_steps_per_second": 4.109,
"step": 525
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 21.0,
"step": 525
},
{
"epoch": 22.0,
"eval_accuracy": 0.6,
"eval_loss": 0.29339364171028137,
"eval_runtime": 3.1614,
"eval_samples_per_second": 31.631,
"eval_steps_per_second": 4.112,
"step": 550
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 22.0,
"step": 550
},
{
"epoch": 23.0,
"eval_accuracy": 0.6,
"eval_loss": 0.29298409819602966,
"eval_runtime": 3.1646,
"eval_samples_per_second": 31.6,
"eval_steps_per_second": 4.108,
"step": 575
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 23.0,
"step": 575
},
{
"epoch": 24.0,
"eval_accuracy": 0.4,
"eval_loss": 0.2943931818008423,
"eval_runtime": 3.1654,
"eval_samples_per_second": 31.592,
"eval_steps_per_second": 4.107,
"step": 600
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 24.0,
"step": 600
},
{
"epoch": 25.0,
"eval_accuracy": 0.39,
"eval_loss": 0.2969507575035095,
"eval_runtime": 3.165,
"eval_samples_per_second": 31.595,
"eval_steps_per_second": 4.107,
"step": 625
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 25.0,
"step": 625
},
{
"epoch": 26.0,
"eval_accuracy": 0.39,
"eval_loss": 0.2949477434158325,
"eval_runtime": 3.1641,
"eval_samples_per_second": 31.605,
"eval_steps_per_second": 4.109,
"step": 650
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 26.0,
"step": 650
},
{
"epoch": 27.0,
"eval_accuracy": 0.43,
"eval_loss": 0.29417097568511963,
"eval_runtime": 3.1651,
"eval_samples_per_second": 31.595,
"eval_steps_per_second": 4.107,
"step": 675
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 27.0,
"step": 675
},
{
"epoch": 28.0,
"eval_accuracy": 0.43,
"eval_loss": 0.29403185844421387,
"eval_runtime": 3.1625,
"eval_samples_per_second": 31.62,
"eval_steps_per_second": 4.111,
"step": 700
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 28.0,
"step": 700
},
{
"epoch": 29.0,
"eval_accuracy": 0.58,
"eval_loss": 0.29325199127197266,
"eval_runtime": 3.164,
"eval_samples_per_second": 31.606,
"eval_steps_per_second": 4.109,
"step": 725
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 29.0,
"step": 725
},
{
"epoch": 30.0,
"eval_accuracy": 0.62,
"eval_loss": 0.29301509261131287,
"eval_runtime": 3.1644,
"eval_samples_per_second": 31.601,
"eval_steps_per_second": 4.108,
"step": 750
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 30.0,
"step": 750
},
{
"epoch": 31.0,
"eval_accuracy": 0.6,
"eval_loss": 0.29338109493255615,
"eval_runtime": 3.1656,
"eval_samples_per_second": 31.589,
"eval_steps_per_second": 4.107,
"step": 775
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 31.0,
"step": 775
},
{
"epoch": 32.0,
"eval_accuracy": 0.57,
"eval_loss": 0.29339686036109924,
"eval_runtime": 3.1683,
"eval_samples_per_second": 31.563,
"eval_steps_per_second": 4.103,
"step": 800
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 32.0,
"step": 800
},
{
"epoch": 33.0,
"eval_accuracy": 0.54,
"eval_loss": 0.2932019829750061,
"eval_runtime": 3.1687,
"eval_samples_per_second": 31.558,
"eval_steps_per_second": 4.103,
"step": 825
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 33.0,
"step": 825
},
{
"epoch": 34.0,
"eval_accuracy": 0.54,
"eval_loss": 0.292117714881897,
"eval_runtime": 3.1676,
"eval_samples_per_second": 31.57,
"eval_steps_per_second": 4.104,
"step": 850
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 34.0,
"step": 850
},
{
"epoch": 35.0,
"eval_accuracy": 0.44,
"eval_loss": 0.29495733976364136,
"eval_runtime": 3.1673,
"eval_samples_per_second": 31.572,
"eval_steps_per_second": 4.104,
"step": 875
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 35.0,
"step": 875
},
{
"epoch": 36.0,
"eval_accuracy": 0.41,
"eval_loss": 0.2943909764289856,
"eval_runtime": 3.1671,
"eval_samples_per_second": 31.575,
"eval_steps_per_second": 4.105,
"step": 900
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 36.0,
"step": 900
},
{
"epoch": 37.0,
"eval_accuracy": 0.43,
"eval_loss": 0.2940847873687744,
"eval_runtime": 3.1669,
"eval_samples_per_second": 31.577,
"eval_steps_per_second": 4.105,
"step": 925
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 37.0,
"step": 925
},
{
"epoch": 38.0,
"eval_accuracy": 0.55,
"eval_loss": 0.2930077910423279,
"eval_runtime": 3.1669,
"eval_samples_per_second": 31.577,
"eval_steps_per_second": 4.105,
"step": 950
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 38.0,
"step": 950
},
{
"epoch": 39.0,
"eval_accuracy": 0.57,
"eval_loss": 0.2932360768318176,
"eval_runtime": 3.1781,
"eval_samples_per_second": 31.465,
"eval_steps_per_second": 4.09,
"step": 975
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 39.0,
"step": 975
},
{
"epoch": 40.0,
"learning_rate": 0.025,
"loss": 0.8805,
"step": 1000
},
{
"epoch": 40.0,
"eval_accuracy": 0.57,
"eval_loss": 0.2923229932785034,
"eval_runtime": 3.1744,
"eval_samples_per_second": 31.502,
"eval_steps_per_second": 4.095,
"step": 1000
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 40.0,
"step": 1000
},
{
"epoch": 41.0,
"eval_accuracy": 0.61,
"eval_loss": 0.29315364360809326,
"eval_runtime": 3.1688,
"eval_samples_per_second": 31.558,
"eval_steps_per_second": 4.103,
"step": 1025
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 41.0,
"step": 1025
},
{
"epoch": 42.0,
"eval_accuracy": 0.46,
"eval_loss": 0.29364487528800964,
"eval_runtime": 3.1666,
"eval_samples_per_second": 31.58,
"eval_steps_per_second": 4.105,
"step": 1050
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 42.0,
"step": 1050
},
{
"epoch": 43.0,
"eval_accuracy": 0.55,
"eval_loss": 0.29236218333244324,
"eval_runtime": 3.1736,
"eval_samples_per_second": 31.51,
"eval_steps_per_second": 4.096,
"step": 1075
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 43.0,
"step": 1075
},
{
"epoch": 44.0,
"eval_accuracy": 0.44,
"eval_loss": 0.2936778664588928,
"eval_runtime": 3.1653,
"eval_samples_per_second": 31.593,
"eval_steps_per_second": 4.107,
"step": 1100
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 44.0,
"step": 1100
},
{
"epoch": 45.0,
"eval_accuracy": 0.55,
"eval_loss": 0.29269474744796753,
"eval_runtime": 3.164,
"eval_samples_per_second": 31.605,
"eval_steps_per_second": 4.109,
"step": 1125
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 45.0,
"step": 1125
},
{
"epoch": 46.0,
"eval_accuracy": 0.56,
"eval_loss": 0.292283296585083,
"eval_runtime": 3.1643,
"eval_samples_per_second": 31.602,
"eval_steps_per_second": 4.108,
"step": 1150
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 46.0,
"step": 1150
},
{
"epoch": 47.0,
"eval_accuracy": 0.6,
"eval_loss": 0.2930302023887634,
"eval_runtime": 3.1636,
"eval_samples_per_second": 31.609,
"eval_steps_per_second": 4.109,
"step": 1175
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 47.0,
"step": 1175
},
{
"epoch": 48.0,
"eval_accuracy": 0.43,
"eval_loss": 0.293615460395813,
"eval_runtime": 3.1649,
"eval_samples_per_second": 31.597,
"eval_steps_per_second": 4.108,
"step": 1200
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 48.0,
"step": 1200
},
{
"epoch": 49.0,
"eval_accuracy": 0.56,
"eval_loss": 0.2934630811214447,
"eval_runtime": 3.1667,
"eval_samples_per_second": 31.579,
"eval_steps_per_second": 4.105,
"step": 1225
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 49.0,
"step": 1225
},
{
"epoch": 50.0,
"eval_accuracy": 0.46,
"eval_loss": 0.29368773102760315,
"eval_runtime": 3.164,
"eval_samples_per_second": 31.605,
"eval_steps_per_second": 4.109,
"step": 1250
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 50.0,
"step": 1250
},
{
"epoch": 51.0,
"eval_accuracy": 0.59,
"eval_loss": 0.2928531765937805,
"eval_runtime": 3.1606,
"eval_samples_per_second": 31.64,
"eval_steps_per_second": 4.113,
"step": 1275
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 51.0,
"step": 1275
},
{
"epoch": 52.0,
"eval_accuracy": 0.55,
"eval_loss": 0.29315054416656494,
"eval_runtime": 3.161,
"eval_samples_per_second": 31.635,
"eval_steps_per_second": 4.113,
"step": 1300
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 52.0,
"step": 1300
},
{
"epoch": 53.0,
"eval_accuracy": 0.48,
"eval_loss": 0.2939896881580353,
"eval_runtime": 3.1656,
"eval_samples_per_second": 31.589,
"eval_steps_per_second": 4.107,
"step": 1325
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 53.0,
"step": 1325
},
{
"epoch": 54.0,
"eval_accuracy": 0.53,
"eval_loss": 0.29334965348243713,
"eval_runtime": 3.1612,
"eval_samples_per_second": 31.634,
"eval_steps_per_second": 4.112,
"step": 1350
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 54.0,
"step": 1350
},
{
"epoch": 55.0,
"eval_accuracy": 0.55,
"eval_loss": 0.29343104362487793,
"eval_runtime": 3.1613,
"eval_samples_per_second": 31.633,
"eval_steps_per_second": 4.112,
"step": 1375
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 55.0,
"step": 1375
},
{
"epoch": 56.0,
"eval_accuracy": 0.49,
"eval_loss": 0.29364249110221863,
"eval_runtime": 3.164,
"eval_samples_per_second": 31.606,
"eval_steps_per_second": 4.109,
"step": 1400
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 56.0,
"step": 1400
},
{
"epoch": 57.0,
"eval_accuracy": 0.59,
"eval_loss": 0.2927549481391907,
"eval_runtime": 3.1588,
"eval_samples_per_second": 31.658,
"eval_steps_per_second": 4.116,
"step": 1425
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 57.0,
"step": 1425
},
{
"epoch": 58.0,
"eval_accuracy": 0.53,
"eval_loss": 0.2926596701145172,
"eval_runtime": 3.1589,
"eval_samples_per_second": 31.656,
"eval_steps_per_second": 4.115,
"step": 1450
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 58.0,
"step": 1450
},
{
"epoch": 59.0,
"eval_accuracy": 0.6,
"eval_loss": 0.2930474579334259,
"eval_runtime": 3.1575,
"eval_samples_per_second": 31.671,
"eval_steps_per_second": 4.117,
"step": 1475
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 59.0,
"step": 1475
},
{
"epoch": 60.0,
"learning_rate": 0.0125,
"loss": 0.6612,
"step": 1500
},
{
"epoch": 60.0,
"eval_accuracy": 0.47,
"eval_loss": 0.29359233379364014,
"eval_runtime": 3.1591,
"eval_samples_per_second": 31.655,
"eval_steps_per_second": 4.115,
"step": 1500
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 60.0,
"step": 1500
},
{
"epoch": 61.0,
"eval_accuracy": 0.53,
"eval_loss": 0.29333430528640747,
"eval_runtime": 3.1611,
"eval_samples_per_second": 31.635,
"eval_steps_per_second": 4.113,
"step": 1525
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 61.0,
"step": 1525
},
{
"epoch": 62.0,
"eval_accuracy": 0.62,
"eval_loss": 0.2932239770889282,
"eval_runtime": 3.1594,
"eval_samples_per_second": 31.651,
"eval_steps_per_second": 4.115,
"step": 1550
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 62.0,
"step": 1550
},
{
"epoch": 63.0,
"eval_accuracy": 0.41,
"eval_loss": 0.2936784029006958,
"eval_runtime": 3.1617,
"eval_samples_per_second": 31.628,
"eval_steps_per_second": 4.112,
"step": 1575
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 63.0,
"step": 1575
},
{
"epoch": 64.0,
"eval_accuracy": 0.54,
"eval_loss": 0.2932013273239136,
"eval_runtime": 3.1572,
"eval_samples_per_second": 31.674,
"eval_steps_per_second": 4.118,
"step": 1600
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 64.0,
"step": 1600
},
{
"epoch": 65.0,
"eval_accuracy": 0.42,
"eval_loss": 0.29397743940353394,
"eval_runtime": 3.1602,
"eval_samples_per_second": 31.644,
"eval_steps_per_second": 4.114,
"step": 1625
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 65.0,
"step": 1625
},
{
"epoch": 66.0,
"eval_accuracy": 0.56,
"eval_loss": 0.293092280626297,
"eval_runtime": 3.1597,
"eval_samples_per_second": 31.649,
"eval_steps_per_second": 4.114,
"step": 1650
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 66.0,
"step": 1650
},
{
"epoch": 67.0,
"eval_accuracy": 0.36,
"eval_loss": 0.29367607831954956,
"eval_runtime": 3.1629,
"eval_samples_per_second": 31.616,
"eval_steps_per_second": 4.11,
"step": 1675
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 67.0,
"step": 1675
},
{
"epoch": 68.0,
"eval_accuracy": 0.63,
"eval_loss": 0.2929648458957672,
"eval_runtime": 3.1586,
"eval_samples_per_second": 31.659,
"eval_steps_per_second": 4.116,
"step": 1700
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 68.0,
"step": 1700
},
{
"epoch": 69.0,
"eval_accuracy": 0.63,
"eval_loss": 0.29336318373680115,
"eval_runtime": 3.158,
"eval_samples_per_second": 31.665,
"eval_steps_per_second": 4.116,
"step": 1725
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 69.0,
"step": 1725
},
{
"epoch": 70.0,
"eval_accuracy": 0.36,
"eval_loss": 0.29374971985816956,
"eval_runtime": 3.1604,
"eval_samples_per_second": 31.641,
"eval_steps_per_second": 4.113,
"step": 1750
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 70.0,
"step": 1750
},
{
"epoch": 71.0,
"eval_accuracy": 0.63,
"eval_loss": 0.29300999641418457,
"eval_runtime": 3.1587,
"eval_samples_per_second": 31.659,
"eval_steps_per_second": 4.116,
"step": 1775
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 71.0,
"step": 1775
},
{
"epoch": 72.0,
"eval_accuracy": 0.63,
"eval_loss": 0.2931566536426544,
"eval_runtime": 3.1592,
"eval_samples_per_second": 31.654,
"eval_steps_per_second": 4.115,
"step": 1800
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 72.0,
"step": 1800
},
{
"epoch": 73.0,
"eval_accuracy": 0.61,
"eval_loss": 0.29304105043411255,
"eval_runtime": 3.1567,
"eval_samples_per_second": 31.679,
"eval_steps_per_second": 4.118,
"step": 1825
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 73.0,
"step": 1825
},
{
"epoch": 74.0,
"eval_accuracy": 0.53,
"eval_loss": 0.2932125926017761,
"eval_runtime": 3.1604,
"eval_samples_per_second": 31.642,
"eval_steps_per_second": 4.113,
"step": 1850
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 74.0,
"step": 1850
},
{
"epoch": 75.0,
"eval_accuracy": 0.58,
"eval_loss": 0.29323533177375793,
"eval_runtime": 3.1581,
"eval_samples_per_second": 31.664,
"eval_steps_per_second": 4.116,
"step": 1875
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 75.0,
"step": 1875
},
{
"epoch": 76.0,
"eval_accuracy": 0.53,
"eval_loss": 0.2934551239013672,
"eval_runtime": 3.1621,
"eval_samples_per_second": 31.625,
"eval_steps_per_second": 4.111,
"step": 1900
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 76.0,
"step": 1900
},
{
"epoch": 77.0,
"eval_accuracy": 0.62,
"eval_loss": 0.2931278347969055,
"eval_runtime": 3.1589,
"eval_samples_per_second": 31.656,
"eval_steps_per_second": 4.115,
"step": 1925
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 77.0,
"step": 1925
},
{
"epoch": 78.0,
"eval_accuracy": 0.54,
"eval_loss": 0.2932642102241516,
"eval_runtime": 3.158,
"eval_samples_per_second": 31.666,
"eval_steps_per_second": 4.117,
"step": 1950
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 78.0,
"step": 1950
},
{
"epoch": 79.0,
"eval_accuracy": 0.61,
"eval_loss": 0.29319581389427185,
"eval_runtime": 3.1582,
"eval_samples_per_second": 31.664,
"eval_steps_per_second": 4.116,
"step": 1975
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 79.0,
"step": 1975
},
{
"epoch": 80.0,
"learning_rate": 0.0,
"loss": 0.5295,
"step": 2000
},
{
"epoch": 80.0,
"eval_accuracy": 0.6,
"eval_loss": 0.29315412044525146,
"eval_runtime": 3.16,
"eval_samples_per_second": 31.646,
"eval_steps_per_second": 4.114,
"step": 2000
},
{
"best_epoch": 7,
"best_eval_accuracy": 0.68,
"epoch": 80.0,
"step": 2000
},
{
"epoch": 80.0,
"step": 2000,
"total_flos": 2.9821702864896e+16,
"train_loss": 0.8249960479736328,
"train_runtime": 1692.8932,
"train_samples_per_second": 18.903,
"train_steps_per_second": 1.181
}
],
"max_steps": 2000,
"num_train_epochs": 80,
"total_flos": 2.9821702864896e+16,
"trial_name": null,
"trial_params": null
}