qcpg-parabk2-t5-base / trainer_state.json
bibekyess's picture
Uploads demo qcpg for testing
0efcaba
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 2.9555555555555557,
"global_step": 332500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 0.001,
"loss": 1.693,
"step": 500
},
{
"epoch": 0.01,
"learning_rate": 0.001,
"loss": 1.5462,
"step": 1000
},
{
"epoch": 0.01,
"learning_rate": 0.001,
"loss": 1.5029,
"step": 1500
},
{
"epoch": 0.02,
"learning_rate": 0.001,
"loss": 1.4654,
"step": 2000
},
{
"epoch": 0.02,
"learning_rate": 0.001,
"loss": 1.4407,
"step": 2500
},
{
"epoch": 0.03,
"learning_rate": 0.001,
"loss": 1.3838,
"step": 3000
},
{
"epoch": 0.03,
"learning_rate": 0.001,
"loss": 1.37,
"step": 3500
},
{
"epoch": 0.04,
"learning_rate": 0.001,
"loss": 1.3818,
"step": 4000
},
{
"epoch": 0.04,
"learning_rate": 0.001,
"loss": 1.3539,
"step": 4500
},
{
"epoch": 0.04,
"learning_rate": 0.001,
"loss": 1.3605,
"step": 5000
},
{
"epoch": 0.05,
"learning_rate": 0.001,
"loss": 1.3485,
"step": 5500
},
{
"epoch": 0.05,
"learning_rate": 0.001,
"loss": 1.3284,
"step": 6000
},
{
"epoch": 0.06,
"learning_rate": 0.001,
"loss": 1.3229,
"step": 6500
},
{
"epoch": 0.06,
"learning_rate": 0.001,
"loss": 1.3203,
"step": 7000
},
{
"epoch": 0.07,
"learning_rate": 0.001,
"loss": 1.3039,
"step": 7500
},
{
"epoch": 0.07,
"learning_rate": 0.001,
"loss": 1.2939,
"step": 8000
},
{
"epoch": 0.08,
"learning_rate": 0.001,
"loss": 1.2585,
"step": 8500
},
{
"epoch": 0.08,
"learning_rate": 0.001,
"loss": 1.2824,
"step": 9000
},
{
"epoch": 0.08,
"learning_rate": 0.001,
"loss": 1.2786,
"step": 9500
},
{
"epoch": 0.09,
"learning_rate": 0.001,
"loss": 1.2889,
"step": 10000
},
{
"epoch": 0.09,
"learning_rate": 0.001,
"loss": 1.2513,
"step": 10500
},
{
"epoch": 0.1,
"learning_rate": 0.001,
"loss": 1.2813,
"step": 11000
},
{
"epoch": 0.1,
"learning_rate": 0.001,
"loss": 1.2363,
"step": 11500
},
{
"epoch": 0.11,
"learning_rate": 0.001,
"loss": 1.2591,
"step": 12000
},
{
"epoch": 0.11,
"learning_rate": 0.001,
"loss": 1.238,
"step": 12500
},
{
"epoch": 0.12,
"learning_rate": 0.001,
"loss": 1.2293,
"step": 13000
},
{
"epoch": 0.12,
"learning_rate": 0.001,
"loss": 1.2416,
"step": 13500
},
{
"epoch": 0.12,
"learning_rate": 0.001,
"loss": 1.2246,
"step": 14000
},
{
"epoch": 0.13,
"learning_rate": 0.001,
"loss": 1.2235,
"step": 14500
},
{
"epoch": 0.13,
"learning_rate": 0.001,
"loss": 1.2157,
"step": 15000
},
{
"epoch": 0.14,
"learning_rate": 0.001,
"loss": 1.2175,
"step": 15500
},
{
"epoch": 0.14,
"learning_rate": 0.001,
"loss": 1.2135,
"step": 16000
},
{
"epoch": 0.15,
"learning_rate": 0.001,
"loss": 1.2295,
"step": 16500
},
{
"epoch": 0.15,
"learning_rate": 0.001,
"loss": 1.2025,
"step": 17000
},
{
"epoch": 0.16,
"learning_rate": 0.001,
"loss": 1.1972,
"step": 17500
},
{
"epoch": 0.16,
"learning_rate": 0.001,
"loss": 1.2001,
"step": 18000
},
{
"epoch": 0.16,
"learning_rate": 0.001,
"loss": 1.1981,
"step": 18500
},
{
"epoch": 0.17,
"learning_rate": 0.001,
"loss": 1.1821,
"step": 19000
},
{
"epoch": 0.17,
"learning_rate": 0.001,
"loss": 1.1872,
"step": 19500
},
{
"epoch": 0.18,
"learning_rate": 0.001,
"loss": 1.1764,
"step": 20000
},
{
"epoch": 0.18,
"learning_rate": 0.001,
"loss": 1.1847,
"step": 20500
},
{
"epoch": 0.19,
"learning_rate": 0.001,
"loss": 1.1703,
"step": 21000
},
{
"epoch": 0.19,
"learning_rate": 0.001,
"loss": 1.1738,
"step": 21500
},
{
"epoch": 0.2,
"learning_rate": 0.001,
"loss": 1.1653,
"step": 22000
},
{
"epoch": 0.2,
"learning_rate": 0.001,
"loss": 1.1625,
"step": 22500
},
{
"epoch": 0.2,
"learning_rate": 0.001,
"loss": 1.188,
"step": 23000
},
{
"epoch": 0.21,
"learning_rate": 0.001,
"loss": 1.1871,
"step": 23500
},
{
"epoch": 0.21,
"learning_rate": 0.001,
"loss": 1.1614,
"step": 24000
},
{
"epoch": 0.22,
"learning_rate": 0.001,
"loss": 1.1665,
"step": 24500
},
{
"epoch": 0.22,
"learning_rate": 0.001,
"loss": 1.1696,
"step": 25000
},
{
"epoch": 0.23,
"learning_rate": 0.001,
"loss": 1.1465,
"step": 25500
},
{
"epoch": 0.23,
"learning_rate": 0.001,
"loss": 1.1538,
"step": 26000
},
{
"epoch": 0.24,
"learning_rate": 0.001,
"loss": 1.1523,
"step": 26500
},
{
"epoch": 0.24,
"learning_rate": 0.001,
"loss": 1.1376,
"step": 27000
},
{
"epoch": 0.24,
"learning_rate": 0.001,
"loss": 1.1364,
"step": 27500
},
{
"epoch": 0.25,
"learning_rate": 0.001,
"loss": 1.1567,
"step": 28000
},
{
"epoch": 0.25,
"learning_rate": 0.001,
"loss": 1.1393,
"step": 28500
},
{
"epoch": 0.26,
"learning_rate": 0.001,
"loss": 1.1399,
"step": 29000
},
{
"epoch": 0.26,
"learning_rate": 0.001,
"loss": 1.1328,
"step": 29500
},
{
"epoch": 0.27,
"learning_rate": 0.001,
"loss": 1.1456,
"step": 30000
},
{
"epoch": 0.27,
"learning_rate": 0.001,
"loss": 1.1311,
"step": 30500
},
{
"epoch": 0.28,
"learning_rate": 0.001,
"loss": 1.1246,
"step": 31000
},
{
"epoch": 0.28,
"learning_rate": 0.001,
"loss": 1.1358,
"step": 31500
},
{
"epoch": 0.28,
"learning_rate": 0.001,
"loss": 1.1271,
"step": 32000
},
{
"epoch": 0.29,
"learning_rate": 0.001,
"loss": 1.1082,
"step": 32500
},
{
"epoch": 0.29,
"learning_rate": 0.001,
"loss": 1.1064,
"step": 33000
},
{
"epoch": 0.3,
"learning_rate": 0.001,
"loss": 1.122,
"step": 33500
},
{
"epoch": 0.3,
"learning_rate": 0.001,
"loss": 1.1282,
"step": 34000
},
{
"epoch": 0.31,
"learning_rate": 0.001,
"loss": 1.1088,
"step": 34500
},
{
"epoch": 0.31,
"learning_rate": 0.001,
"loss": 1.1167,
"step": 35000
},
{
"epoch": 0.32,
"learning_rate": 0.001,
"loss": 1.0914,
"step": 35500
},
{
"epoch": 0.32,
"learning_rate": 0.001,
"loss": 1.1197,
"step": 36000
},
{
"epoch": 0.32,
"learning_rate": 0.001,
"loss": 1.1085,
"step": 36500
},
{
"epoch": 0.33,
"learning_rate": 0.001,
"loss": 1.0976,
"step": 37000
},
{
"epoch": 0.33,
"learning_rate": 0.001,
"loss": 1.1057,
"step": 37500
},
{
"epoch": 0.34,
"learning_rate": 0.001,
"loss": 1.0936,
"step": 38000
},
{
"epoch": 0.34,
"learning_rate": 0.001,
"loss": 1.0813,
"step": 38500
},
{
"epoch": 0.35,
"learning_rate": 0.001,
"loss": 1.0897,
"step": 39000
},
{
"epoch": 0.35,
"learning_rate": 0.001,
"loss": 1.1009,
"step": 39500
},
{
"epoch": 0.36,
"learning_rate": 0.001,
"loss": 1.0939,
"step": 40000
},
{
"epoch": 0.36,
"learning_rate": 0.001,
"loss": 1.0905,
"step": 40500
},
{
"epoch": 0.36,
"learning_rate": 0.001,
"loss": 1.0965,
"step": 41000
},
{
"epoch": 0.37,
"learning_rate": 0.001,
"loss": 1.0823,
"step": 41500
},
{
"epoch": 0.37,
"learning_rate": 0.001,
"loss": 1.0951,
"step": 42000
},
{
"epoch": 0.38,
"learning_rate": 0.001,
"loss": 1.0823,
"step": 42500
},
{
"epoch": 0.38,
"learning_rate": 0.001,
"loss": 1.0741,
"step": 43000
},
{
"epoch": 0.39,
"learning_rate": 0.001,
"loss": 1.0622,
"step": 43500
},
{
"epoch": 0.39,
"learning_rate": 0.001,
"loss": 1.0879,
"step": 44000
},
{
"epoch": 0.4,
"learning_rate": 0.001,
"loss": 1.0559,
"step": 44500
},
{
"epoch": 0.4,
"learning_rate": 0.001,
"loss": 1.0766,
"step": 45000
},
{
"epoch": 0.4,
"learning_rate": 0.001,
"loss": 1.0609,
"step": 45500
},
{
"epoch": 0.41,
"learning_rate": 0.001,
"loss": 1.063,
"step": 46000
},
{
"epoch": 0.41,
"learning_rate": 0.001,
"loss": 1.0618,
"step": 46500
},
{
"epoch": 0.42,
"learning_rate": 0.001,
"loss": 1.0618,
"step": 47000
},
{
"epoch": 0.42,
"learning_rate": 0.001,
"loss": 1.0488,
"step": 47500
},
{
"epoch": 0.43,
"learning_rate": 0.001,
"loss": 1.0686,
"step": 48000
},
{
"epoch": 0.43,
"learning_rate": 0.001,
"loss": 1.0457,
"step": 48500
},
{
"epoch": 0.44,
"learning_rate": 0.001,
"loss": 1.0494,
"step": 49000
},
{
"epoch": 0.44,
"learning_rate": 0.001,
"loss": 1.0498,
"step": 49500
},
{
"epoch": 0.44,
"learning_rate": 0.001,
"loss": 1.0677,
"step": 50000
},
{
"epoch": 0.45,
"learning_rate": 0.001,
"loss": 1.0548,
"step": 50500
},
{
"epoch": 0.45,
"learning_rate": 0.001,
"loss": 1.0721,
"step": 51000
},
{
"epoch": 0.46,
"learning_rate": 0.001,
"loss": 1.0442,
"step": 51500
},
{
"epoch": 0.46,
"learning_rate": 0.001,
"loss": 1.0502,
"step": 52000
},
{
"epoch": 0.47,
"learning_rate": 0.001,
"loss": 1.0457,
"step": 52500
},
{
"epoch": 0.47,
"learning_rate": 0.001,
"loss": 1.0459,
"step": 53000
},
{
"epoch": 0.48,
"learning_rate": 0.001,
"loss": 1.0419,
"step": 53500
},
{
"epoch": 0.48,
"learning_rate": 0.001,
"loss": 1.0533,
"step": 54000
},
{
"epoch": 0.48,
"learning_rate": 0.001,
"loss": 1.0498,
"step": 54500
},
{
"epoch": 0.49,
"learning_rate": 0.001,
"loss": 1.0347,
"step": 55000
},
{
"epoch": 0.49,
"learning_rate": 0.001,
"loss": 1.0422,
"step": 55500
},
{
"epoch": 0.5,
"learning_rate": 0.001,
"loss": 1.0431,
"step": 56000
},
{
"epoch": 0.5,
"learning_rate": 0.001,
"loss": 1.0365,
"step": 56500
},
{
"epoch": 0.51,
"learning_rate": 0.001,
"loss": 1.0383,
"step": 57000
},
{
"epoch": 0.51,
"learning_rate": 0.001,
"loss": 1.0291,
"step": 57500
},
{
"epoch": 0.52,
"learning_rate": 0.001,
"loss": 1.037,
"step": 58000
},
{
"epoch": 0.52,
"learning_rate": 0.001,
"loss": 1.0293,
"step": 58500
},
{
"epoch": 0.52,
"learning_rate": 0.001,
"loss": 1.0243,
"step": 59000
},
{
"epoch": 0.53,
"learning_rate": 0.001,
"loss": 1.0319,
"step": 59500
},
{
"epoch": 0.53,
"learning_rate": 0.001,
"loss": 1.0237,
"step": 60000
},
{
"epoch": 0.54,
"learning_rate": 0.001,
"loss": 1.0394,
"step": 60500
},
{
"epoch": 0.54,
"learning_rate": 0.001,
"loss": 1.0306,
"step": 61000
},
{
"epoch": 0.55,
"learning_rate": 0.001,
"loss": 1.0184,
"step": 61500
},
{
"epoch": 0.55,
"learning_rate": 0.001,
"loss": 1.0149,
"step": 62000
},
{
"epoch": 0.56,
"learning_rate": 0.001,
"loss": 1.024,
"step": 62500
},
{
"epoch": 0.56,
"learning_rate": 0.001,
"loss": 1.0095,
"step": 63000
},
{
"epoch": 0.56,
"learning_rate": 0.001,
"loss": 1.008,
"step": 63500
},
{
"epoch": 0.57,
"learning_rate": 0.001,
"loss": 1.0057,
"step": 64000
},
{
"epoch": 0.57,
"learning_rate": 0.001,
"loss": 1.0232,
"step": 64500
},
{
"epoch": 0.58,
"learning_rate": 0.001,
"loss": 1.02,
"step": 65000
},
{
"epoch": 0.58,
"learning_rate": 0.001,
"loss": 1.0141,
"step": 65500
},
{
"epoch": 0.59,
"learning_rate": 0.001,
"loss": 1.0132,
"step": 66000
},
{
"epoch": 0.59,
"learning_rate": 0.001,
"loss": 1.0229,
"step": 66500
},
{
"epoch": 0.6,
"learning_rate": 0.001,
"loss": 1.0211,
"step": 67000
},
{
"epoch": 0.6,
"learning_rate": 0.001,
"loss": 1.0062,
"step": 67500
},
{
"epoch": 0.6,
"learning_rate": 0.001,
"loss": 1.0062,
"step": 68000
},
{
"epoch": 0.61,
"learning_rate": 0.001,
"loss": 1.0044,
"step": 68500
},
{
"epoch": 0.61,
"learning_rate": 0.001,
"loss": 1.0211,
"step": 69000
},
{
"epoch": 0.62,
"learning_rate": 0.001,
"loss": 0.9982,
"step": 69500
},
{
"epoch": 0.62,
"learning_rate": 0.001,
"loss": 1.011,
"step": 70000
},
{
"epoch": 0.63,
"learning_rate": 0.001,
"loss": 0.9963,
"step": 70500
},
{
"epoch": 0.63,
"learning_rate": 0.001,
"loss": 1.0009,
"step": 71000
},
{
"epoch": 0.64,
"learning_rate": 0.001,
"loss": 0.9925,
"step": 71500
},
{
"epoch": 0.64,
"learning_rate": 0.001,
"loss": 0.9819,
"step": 72000
},
{
"epoch": 0.64,
"learning_rate": 0.001,
"loss": 1.012,
"step": 72500
},
{
"epoch": 0.65,
"learning_rate": 0.001,
"loss": 0.9856,
"step": 73000
},
{
"epoch": 0.65,
"learning_rate": 0.001,
"loss": 0.9991,
"step": 73500
},
{
"epoch": 0.66,
"learning_rate": 0.001,
"loss": 0.9929,
"step": 74000
},
{
"epoch": 0.66,
"learning_rate": 0.001,
"loss": 0.9949,
"step": 74500
},
{
"epoch": 0.67,
"learning_rate": 0.001,
"loss": 0.9874,
"step": 75000
},
{
"epoch": 0.67,
"learning_rate": 0.001,
"loss": 0.9843,
"step": 75500
},
{
"epoch": 0.68,
"learning_rate": 0.001,
"loss": 1.0074,
"step": 76000
},
{
"epoch": 0.68,
"learning_rate": 0.001,
"loss": 0.9937,
"step": 76500
},
{
"epoch": 0.68,
"learning_rate": 0.001,
"loss": 0.9898,
"step": 77000
},
{
"epoch": 0.69,
"learning_rate": 0.001,
"loss": 0.9799,
"step": 77500
},
{
"epoch": 0.69,
"learning_rate": 0.001,
"loss": 0.9855,
"step": 78000
},
{
"epoch": 0.7,
"learning_rate": 0.001,
"loss": 0.9797,
"step": 78500
},
{
"epoch": 0.7,
"learning_rate": 0.001,
"loss": 0.9774,
"step": 79000
},
{
"epoch": 0.71,
"learning_rate": 0.001,
"loss": 0.981,
"step": 79500
},
{
"epoch": 0.71,
"learning_rate": 0.001,
"loss": 0.9909,
"step": 80000
},
{
"epoch": 0.72,
"learning_rate": 0.001,
"loss": 0.9734,
"step": 80500
},
{
"epoch": 0.72,
"learning_rate": 0.001,
"loss": 0.9857,
"step": 81000
},
{
"epoch": 0.72,
"learning_rate": 0.001,
"loss": 0.976,
"step": 81500
},
{
"epoch": 0.73,
"learning_rate": 0.001,
"loss": 0.9842,
"step": 82000
},
{
"epoch": 0.73,
"learning_rate": 0.001,
"loss": 0.9798,
"step": 82500
},
{
"epoch": 0.74,
"learning_rate": 0.001,
"loss": 0.9816,
"step": 83000
},
{
"epoch": 0.74,
"learning_rate": 0.001,
"loss": 0.9686,
"step": 83500
},
{
"epoch": 0.75,
"learning_rate": 0.001,
"loss": 0.9741,
"step": 84000
},
{
"epoch": 0.75,
"learning_rate": 0.001,
"loss": 1.0041,
"step": 84500
},
{
"epoch": 0.76,
"learning_rate": 0.001,
"loss": 0.9844,
"step": 85000
},
{
"epoch": 0.76,
"learning_rate": 0.001,
"loss": 0.9761,
"step": 85500
},
{
"epoch": 0.76,
"learning_rate": 0.001,
"loss": 0.9775,
"step": 86000
},
{
"epoch": 0.77,
"learning_rate": 0.001,
"loss": 0.9667,
"step": 86500
},
{
"epoch": 0.77,
"learning_rate": 0.001,
"loss": 0.9434,
"step": 87000
},
{
"epoch": 0.78,
"learning_rate": 0.001,
"loss": 0.976,
"step": 87500
},
{
"epoch": 0.78,
"learning_rate": 0.001,
"loss": 0.962,
"step": 88000
},
{
"epoch": 0.79,
"learning_rate": 0.001,
"loss": 0.9782,
"step": 88500
},
{
"epoch": 0.79,
"learning_rate": 0.001,
"loss": 0.9739,
"step": 89000
},
{
"epoch": 0.8,
"learning_rate": 0.001,
"loss": 0.9858,
"step": 89500
},
{
"epoch": 0.8,
"learning_rate": 0.001,
"loss": 0.9573,
"step": 90000
},
{
"epoch": 0.8,
"learning_rate": 0.001,
"loss": 0.9776,
"step": 90500
},
{
"epoch": 0.81,
"learning_rate": 0.001,
"loss": 0.9729,
"step": 91000
},
{
"epoch": 0.81,
"learning_rate": 0.001,
"loss": 0.9878,
"step": 91500
},
{
"epoch": 0.82,
"learning_rate": 0.001,
"loss": 0.9735,
"step": 92000
},
{
"epoch": 0.82,
"learning_rate": 0.001,
"loss": 0.9581,
"step": 92500
},
{
"epoch": 0.83,
"learning_rate": 0.001,
"loss": 0.9593,
"step": 93000
},
{
"epoch": 0.83,
"learning_rate": 0.001,
"loss": 0.9611,
"step": 93500
},
{
"epoch": 0.84,
"learning_rate": 0.001,
"loss": 0.9602,
"step": 94000
},
{
"epoch": 0.84,
"learning_rate": 0.001,
"loss": 0.9516,
"step": 94500
},
{
"epoch": 0.84,
"learning_rate": 0.001,
"loss": 0.934,
"step": 95000
},
{
"epoch": 0.85,
"learning_rate": 0.001,
"loss": 0.9451,
"step": 95500
},
{
"epoch": 0.85,
"learning_rate": 0.001,
"loss": 0.956,
"step": 96000
},
{
"epoch": 0.86,
"learning_rate": 0.001,
"loss": 0.9612,
"step": 96500
},
{
"epoch": 0.86,
"learning_rate": 0.001,
"loss": 0.946,
"step": 97000
},
{
"epoch": 0.87,
"learning_rate": 0.001,
"loss": 0.9406,
"step": 97500
},
{
"epoch": 0.87,
"learning_rate": 0.001,
"loss": 0.9641,
"step": 98000
},
{
"epoch": 0.88,
"learning_rate": 0.001,
"loss": 0.9696,
"step": 98500
},
{
"epoch": 0.88,
"learning_rate": 0.001,
"loss": 0.9599,
"step": 99000
},
{
"epoch": 0.88,
"learning_rate": 0.001,
"loss": 0.949,
"step": 99500
},
{
"epoch": 0.89,
"learning_rate": 0.001,
"loss": 0.9491,
"step": 100000
},
{
"epoch": 0.89,
"learning_rate": 0.001,
"loss": 0.9468,
"step": 100500
},
{
"epoch": 0.9,
"learning_rate": 0.001,
"loss": 0.9301,
"step": 101000
},
{
"epoch": 0.9,
"learning_rate": 0.001,
"loss": 0.9481,
"step": 101500
},
{
"epoch": 0.91,
"learning_rate": 0.001,
"loss": 0.946,
"step": 102000
},
{
"epoch": 0.91,
"learning_rate": 0.001,
"loss": 0.94,
"step": 102500
},
{
"epoch": 0.92,
"learning_rate": 0.001,
"loss": 0.9288,
"step": 103000
},
{
"epoch": 0.92,
"learning_rate": 0.001,
"loss": 0.9514,
"step": 103500
},
{
"epoch": 0.92,
"learning_rate": 0.001,
"loss": 0.9371,
"step": 104000
},
{
"epoch": 0.93,
"learning_rate": 0.001,
"loss": 0.9269,
"step": 104500
},
{
"epoch": 0.93,
"learning_rate": 0.001,
"loss": 0.9405,
"step": 105000
},
{
"epoch": 0.94,
"learning_rate": 0.001,
"loss": 0.9306,
"step": 105500
},
{
"epoch": 0.94,
"learning_rate": 0.001,
"loss": 0.9397,
"step": 106000
},
{
"epoch": 0.95,
"learning_rate": 0.001,
"loss": 0.9247,
"step": 106500
},
{
"epoch": 0.95,
"learning_rate": 0.001,
"loss": 0.9122,
"step": 107000
},
{
"epoch": 0.96,
"learning_rate": 0.001,
"loss": 0.9361,
"step": 107500
},
{
"epoch": 0.96,
"learning_rate": 0.001,
"loss": 0.9255,
"step": 108000
},
{
"epoch": 0.96,
"learning_rate": 0.001,
"loss": 0.9434,
"step": 108500
},
{
"epoch": 0.97,
"learning_rate": 0.001,
"loss": 0.9383,
"step": 109000
},
{
"epoch": 0.97,
"learning_rate": 0.001,
"loss": 0.9371,
"step": 109500
},
{
"epoch": 0.98,
"learning_rate": 0.001,
"loss": 0.9272,
"step": 110000
},
{
"epoch": 0.98,
"learning_rate": 0.001,
"loss": 0.9288,
"step": 110500
},
{
"epoch": 0.99,
"learning_rate": 0.001,
"loss": 0.9248,
"step": 111000
},
{
"epoch": 0.99,
"learning_rate": 0.001,
"loss": 0.924,
"step": 111500
},
{
"epoch": 1.0,
"learning_rate": 0.001,
"loss": 0.9319,
"step": 112000
},
{
"epoch": 1.0,
"learning_rate": 0.001,
"loss": 0.9324,
"step": 112500
},
{
"epoch": 1.0,
"eval_bleu": 25.3594,
"eval_gen_len": 11.3081,
"eval_loss": 1.1617918014526367,
"eval_runtime": 419.1845,
"eval_samples_per_second": 33.398,
"step": 112500
},
{
"epoch": 1.0,
"learning_rate": 0.001,
"loss": 0.8688,
"step": 113000
},
{
"epoch": 1.01,
"learning_rate": 0.001,
"loss": 0.8644,
"step": 113500
},
{
"epoch": 1.01,
"learning_rate": 0.001,
"loss": 0.8799,
"step": 114000
},
{
"epoch": 1.02,
"learning_rate": 0.001,
"loss": 0.8541,
"step": 114500
},
{
"epoch": 1.02,
"learning_rate": 0.001,
"loss": 0.8661,
"step": 115000
},
{
"epoch": 1.03,
"learning_rate": 0.001,
"loss": 0.8715,
"step": 115500
},
{
"epoch": 1.03,
"learning_rate": 0.001,
"loss": 0.8783,
"step": 116000
},
{
"epoch": 1.04,
"learning_rate": 0.001,
"loss": 0.8769,
"step": 116500
},
{
"epoch": 1.04,
"learning_rate": 0.001,
"loss": 0.8697,
"step": 117000
},
{
"epoch": 1.04,
"learning_rate": 0.001,
"loss": 0.8621,
"step": 117500
},
{
"epoch": 1.05,
"learning_rate": 0.001,
"loss": 0.86,
"step": 118000
},
{
"epoch": 1.05,
"learning_rate": 0.001,
"loss": 0.8785,
"step": 118500
},
{
"epoch": 1.06,
"learning_rate": 0.001,
"loss": 0.8818,
"step": 119000
},
{
"epoch": 1.06,
"learning_rate": 0.001,
"loss": 0.8571,
"step": 119500
},
{
"epoch": 1.07,
"learning_rate": 0.001,
"loss": 0.8614,
"step": 120000
},
{
"epoch": 1.07,
"learning_rate": 0.001,
"loss": 0.8627,
"step": 120500
},
{
"epoch": 1.08,
"learning_rate": 0.001,
"loss": 0.8623,
"step": 121000
},
{
"epoch": 1.08,
"learning_rate": 0.001,
"loss": 0.8851,
"step": 121500
},
{
"epoch": 1.08,
"learning_rate": 0.001,
"loss": 0.8638,
"step": 122000
},
{
"epoch": 1.09,
"learning_rate": 0.001,
"loss": 0.8637,
"step": 122500
},
{
"epoch": 1.09,
"learning_rate": 0.001,
"loss": 0.8661,
"step": 123000
},
{
"epoch": 1.1,
"learning_rate": 0.001,
"loss": 0.852,
"step": 123500
},
{
"epoch": 1.1,
"learning_rate": 0.001,
"loss": 0.8738,
"step": 124000
},
{
"epoch": 1.11,
"learning_rate": 0.001,
"loss": 0.871,
"step": 124500
},
{
"epoch": 1.11,
"learning_rate": 0.001,
"loss": 0.8642,
"step": 125000
},
{
"epoch": 1.12,
"learning_rate": 0.001,
"loss": 0.8721,
"step": 125500
},
{
"epoch": 1.12,
"learning_rate": 0.001,
"loss": 0.8672,
"step": 126000
},
{
"epoch": 1.12,
"learning_rate": 0.001,
"loss": 0.8628,
"step": 126500
},
{
"epoch": 1.13,
"learning_rate": 0.001,
"loss": 0.8731,
"step": 127000
},
{
"epoch": 1.13,
"learning_rate": 0.001,
"loss": 0.8753,
"step": 127500
},
{
"epoch": 1.14,
"learning_rate": 0.001,
"loss": 0.8566,
"step": 128000
},
{
"epoch": 1.14,
"learning_rate": 0.001,
"loss": 0.8601,
"step": 128500
},
{
"epoch": 1.15,
"learning_rate": 0.001,
"loss": 0.8622,
"step": 129000
},
{
"epoch": 1.15,
"learning_rate": 0.001,
"loss": 0.8706,
"step": 129500
},
{
"epoch": 1.16,
"learning_rate": 0.001,
"loss": 0.8695,
"step": 130000
},
{
"epoch": 1.16,
"learning_rate": 0.001,
"loss": 0.8633,
"step": 130500
},
{
"epoch": 1.16,
"learning_rate": 0.001,
"loss": 0.8651,
"step": 131000
},
{
"epoch": 1.17,
"learning_rate": 0.001,
"loss": 0.8501,
"step": 131500
},
{
"epoch": 1.17,
"learning_rate": 0.001,
"loss": 0.86,
"step": 132000
},
{
"epoch": 1.18,
"learning_rate": 0.001,
"loss": 0.8713,
"step": 132500
},
{
"epoch": 1.18,
"learning_rate": 0.001,
"loss": 0.8549,
"step": 133000
},
{
"epoch": 1.19,
"learning_rate": 0.001,
"loss": 0.8755,
"step": 133500
},
{
"epoch": 1.19,
"learning_rate": 0.001,
"loss": 0.8511,
"step": 134000
},
{
"epoch": 1.2,
"learning_rate": 0.001,
"loss": 0.8587,
"step": 134500
},
{
"epoch": 1.2,
"learning_rate": 0.001,
"loss": 0.8637,
"step": 135000
},
{
"epoch": 1.2,
"learning_rate": 0.001,
"loss": 0.8625,
"step": 135500
},
{
"epoch": 1.21,
"learning_rate": 0.001,
"loss": 0.8718,
"step": 136000
},
{
"epoch": 1.21,
"learning_rate": 0.001,
"loss": 0.8617,
"step": 136500
},
{
"epoch": 1.22,
"learning_rate": 0.001,
"loss": 0.8564,
"step": 137000
},
{
"epoch": 1.22,
"learning_rate": 0.001,
"loss": 0.859,
"step": 137500
},
{
"epoch": 1.23,
"learning_rate": 0.001,
"loss": 0.8669,
"step": 138000
},
{
"epoch": 1.23,
"learning_rate": 0.001,
"loss": 0.8575,
"step": 138500
},
{
"epoch": 1.24,
"learning_rate": 0.001,
"loss": 0.856,
"step": 139000
},
{
"epoch": 1.24,
"learning_rate": 0.001,
"loss": 0.847,
"step": 139500
},
{
"epoch": 1.24,
"learning_rate": 0.001,
"loss": 0.8527,
"step": 140000
},
{
"epoch": 1.25,
"learning_rate": 0.001,
"loss": 0.8722,
"step": 140500
},
{
"epoch": 1.25,
"learning_rate": 0.001,
"loss": 0.8562,
"step": 141000
},
{
"epoch": 1.26,
"learning_rate": 0.001,
"loss": 0.8549,
"step": 141500
},
{
"epoch": 1.26,
"learning_rate": 0.001,
"loss": 0.8518,
"step": 142000
},
{
"epoch": 1.27,
"learning_rate": 0.001,
"loss": 0.8492,
"step": 142500
},
{
"epoch": 1.27,
"learning_rate": 0.001,
"loss": 0.8715,
"step": 143000
},
{
"epoch": 1.28,
"learning_rate": 0.001,
"loss": 0.8469,
"step": 143500
},
{
"epoch": 1.28,
"learning_rate": 0.001,
"loss": 0.8494,
"step": 144000
},
{
"epoch": 1.28,
"learning_rate": 0.001,
"loss": 0.8518,
"step": 144500
},
{
"epoch": 1.29,
"learning_rate": 0.001,
"loss": 0.8491,
"step": 145000
},
{
"epoch": 1.29,
"learning_rate": 0.001,
"loss": 0.861,
"step": 145500
},
{
"epoch": 1.3,
"learning_rate": 0.001,
"loss": 0.8455,
"step": 146000
},
{
"epoch": 1.3,
"learning_rate": 0.001,
"loss": 0.8601,
"step": 146500
},
{
"epoch": 1.31,
"learning_rate": 0.001,
"loss": 0.8354,
"step": 147000
},
{
"epoch": 1.31,
"learning_rate": 0.001,
"loss": 0.8499,
"step": 147500
},
{
"epoch": 1.32,
"learning_rate": 0.001,
"loss": 0.8503,
"step": 148000
},
{
"epoch": 1.32,
"learning_rate": 0.001,
"loss": 0.8558,
"step": 148500
},
{
"epoch": 1.32,
"learning_rate": 0.001,
"loss": 0.8644,
"step": 149000
},
{
"epoch": 1.33,
"learning_rate": 0.001,
"loss": 0.8425,
"step": 149500
},
{
"epoch": 1.33,
"learning_rate": 0.001,
"loss": 0.8499,
"step": 150000
},
{
"epoch": 1.34,
"learning_rate": 0.001,
"loss": 0.8523,
"step": 150500
},
{
"epoch": 1.34,
"learning_rate": 0.001,
"loss": 0.8515,
"step": 151000
},
{
"epoch": 1.35,
"learning_rate": 0.001,
"loss": 0.8603,
"step": 151500
},
{
"epoch": 1.35,
"learning_rate": 0.001,
"loss": 0.8536,
"step": 152000
},
{
"epoch": 1.36,
"learning_rate": 0.001,
"loss": 0.8479,
"step": 152500
},
{
"epoch": 1.36,
"learning_rate": 0.001,
"loss": 0.8473,
"step": 153000
},
{
"epoch": 1.36,
"learning_rate": 0.001,
"loss": 0.8405,
"step": 153500
},
{
"epoch": 1.37,
"learning_rate": 0.001,
"loss": 0.8304,
"step": 154000
},
{
"epoch": 1.37,
"learning_rate": 0.001,
"loss": 0.8331,
"step": 154500
},
{
"epoch": 1.38,
"learning_rate": 0.001,
"loss": 0.8403,
"step": 155000
},
{
"epoch": 1.38,
"learning_rate": 0.001,
"loss": 0.8535,
"step": 155500
},
{
"epoch": 1.39,
"learning_rate": 0.001,
"loss": 0.8434,
"step": 156000
},
{
"epoch": 1.39,
"learning_rate": 0.001,
"loss": 0.8458,
"step": 156500
},
{
"epoch": 1.4,
"learning_rate": 0.001,
"loss": 0.8428,
"step": 157000
},
{
"epoch": 1.4,
"learning_rate": 0.001,
"loss": 0.8446,
"step": 157500
},
{
"epoch": 1.4,
"learning_rate": 0.001,
"loss": 0.8419,
"step": 158000
},
{
"epoch": 1.41,
"learning_rate": 0.001,
"loss": 0.8543,
"step": 158500
},
{
"epoch": 1.41,
"learning_rate": 0.001,
"loss": 0.8475,
"step": 159000
},
{
"epoch": 1.42,
"learning_rate": 0.001,
"loss": 0.8414,
"step": 159500
},
{
"epoch": 1.42,
"learning_rate": 0.001,
"loss": 0.8504,
"step": 160000
},
{
"epoch": 1.43,
"learning_rate": 0.001,
"loss": 0.8609,
"step": 160500
},
{
"epoch": 1.43,
"learning_rate": 0.001,
"loss": 0.82,
"step": 161000
},
{
"epoch": 1.44,
"learning_rate": 0.001,
"loss": 0.835,
"step": 161500
},
{
"epoch": 1.44,
"learning_rate": 0.001,
"loss": 0.8393,
"step": 162000
},
{
"epoch": 1.44,
"learning_rate": 0.001,
"loss": 0.8514,
"step": 162500
},
{
"epoch": 1.45,
"learning_rate": 0.001,
"loss": 0.8474,
"step": 163000
},
{
"epoch": 1.45,
"learning_rate": 0.001,
"loss": 0.8449,
"step": 163500
},
{
"epoch": 1.46,
"learning_rate": 0.001,
"loss": 0.8425,
"step": 164000
},
{
"epoch": 1.46,
"learning_rate": 0.001,
"loss": 0.8369,
"step": 164500
},
{
"epoch": 1.47,
"learning_rate": 0.001,
"loss": 0.8265,
"step": 165000
},
{
"epoch": 1.47,
"learning_rate": 0.001,
"loss": 0.8347,
"step": 165500
},
{
"epoch": 1.48,
"learning_rate": 0.001,
"loss": 0.8335,
"step": 166000
},
{
"epoch": 1.48,
"learning_rate": 0.001,
"loss": 0.8301,
"step": 166500
},
{
"epoch": 1.48,
"learning_rate": 0.001,
"loss": 0.8308,
"step": 167000
},
{
"epoch": 1.49,
"learning_rate": 0.001,
"loss": 0.8444,
"step": 167500
},
{
"epoch": 1.49,
"learning_rate": 0.001,
"loss": 0.831,
"step": 168000
},
{
"epoch": 1.5,
"learning_rate": 0.001,
"loss": 0.8535,
"step": 168500
},
{
"epoch": 1.5,
"learning_rate": 0.001,
"loss": 0.8472,
"step": 169000
},
{
"epoch": 1.51,
"learning_rate": 0.001,
"loss": 0.8475,
"step": 169500
},
{
"epoch": 1.51,
"learning_rate": 0.001,
"loss": 0.8209,
"step": 170000
},
{
"epoch": 1.52,
"learning_rate": 0.001,
"loss": 0.8422,
"step": 170500
},
{
"epoch": 1.52,
"learning_rate": 0.001,
"loss": 0.8297,
"step": 171000
},
{
"epoch": 1.52,
"learning_rate": 0.001,
"loss": 0.8287,
"step": 171500
},
{
"epoch": 1.53,
"learning_rate": 0.001,
"loss": 0.8265,
"step": 172000
},
{
"epoch": 1.53,
"learning_rate": 0.001,
"loss": 0.8265,
"step": 172500
},
{
"epoch": 1.54,
"learning_rate": 0.001,
"loss": 0.8394,
"step": 173000
},
{
"epoch": 1.54,
"learning_rate": 0.001,
"loss": 0.8364,
"step": 173500
},
{
"epoch": 1.55,
"learning_rate": 0.001,
"loss": 0.8242,
"step": 174000
},
{
"epoch": 1.55,
"learning_rate": 0.001,
"loss": 0.8311,
"step": 174500
},
{
"epoch": 1.56,
"learning_rate": 0.001,
"loss": 0.822,
"step": 175000
},
{
"epoch": 1.56,
"learning_rate": 0.001,
"loss": 0.8245,
"step": 175500
},
{
"epoch": 1.56,
"learning_rate": 0.001,
"loss": 0.8281,
"step": 176000
},
{
"epoch": 1.57,
"learning_rate": 0.001,
"loss": 0.8208,
"step": 176500
},
{
"epoch": 1.57,
"learning_rate": 0.001,
"loss": 0.8328,
"step": 177000
},
{
"epoch": 1.58,
"learning_rate": 0.001,
"loss": 0.83,
"step": 177500
},
{
"epoch": 1.58,
"learning_rate": 0.001,
"loss": 0.8314,
"step": 178000
},
{
"epoch": 1.59,
"learning_rate": 0.001,
"loss": 0.822,
"step": 178500
},
{
"epoch": 1.59,
"learning_rate": 0.001,
"loss": 0.8189,
"step": 179000
},
{
"epoch": 1.6,
"learning_rate": 0.001,
"loss": 0.8221,
"step": 179500
},
{
"epoch": 1.6,
"learning_rate": 0.001,
"loss": 0.8187,
"step": 180000
},
{
"epoch": 1.6,
"learning_rate": 0.001,
"loss": 0.8311,
"step": 180500
},
{
"epoch": 1.61,
"learning_rate": 0.001,
"loss": 0.8193,
"step": 181000
},
{
"epoch": 1.61,
"learning_rate": 0.001,
"loss": 0.8208,
"step": 181500
},
{
"epoch": 1.62,
"learning_rate": 0.001,
"loss": 0.8305,
"step": 182000
},
{
"epoch": 1.62,
"learning_rate": 0.001,
"loss": 0.8302,
"step": 182500
},
{
"epoch": 1.63,
"learning_rate": 0.001,
"loss": 0.8354,
"step": 183000
},
{
"epoch": 1.63,
"learning_rate": 0.001,
"loss": 0.8353,
"step": 183500
},
{
"epoch": 1.64,
"learning_rate": 0.001,
"loss": 0.8353,
"step": 184000
},
{
"epoch": 1.64,
"learning_rate": 0.001,
"loss": 0.8325,
"step": 184500
},
{
"epoch": 1.64,
"learning_rate": 0.001,
"loss": 0.8132,
"step": 185000
},
{
"epoch": 1.65,
"learning_rate": 0.001,
"loss": 0.8275,
"step": 185500
},
{
"epoch": 1.65,
"learning_rate": 0.001,
"loss": 0.8165,
"step": 186000
},
{
"epoch": 1.66,
"learning_rate": 0.001,
"loss": 0.8165,
"step": 186500
},
{
"epoch": 1.66,
"learning_rate": 0.001,
"loss": 0.8246,
"step": 187000
},
{
"epoch": 1.67,
"learning_rate": 0.001,
"loss": 0.8358,
"step": 187500
},
{
"epoch": 1.67,
"learning_rate": 0.001,
"loss": 0.8265,
"step": 188000
},
{
"epoch": 1.68,
"learning_rate": 0.001,
"loss": 0.8096,
"step": 188500
},
{
"epoch": 1.68,
"learning_rate": 0.001,
"loss": 0.813,
"step": 189000
},
{
"epoch": 1.68,
"learning_rate": 0.001,
"loss": 0.8203,
"step": 189500
},
{
"epoch": 1.69,
"learning_rate": 0.001,
"loss": 0.8272,
"step": 190000
},
{
"epoch": 1.69,
"learning_rate": 0.001,
"loss": 0.8114,
"step": 190500
},
{
"epoch": 1.7,
"learning_rate": 0.001,
"loss": 0.8045,
"step": 191000
},
{
"epoch": 1.7,
"learning_rate": 0.001,
"loss": 0.8295,
"step": 191500
},
{
"epoch": 1.71,
"learning_rate": 0.001,
"loss": 0.8153,
"step": 192000
},
{
"epoch": 1.71,
"learning_rate": 0.001,
"loss": 0.8181,
"step": 192500
},
{
"epoch": 1.72,
"learning_rate": 0.001,
"loss": 0.8101,
"step": 193000
},
{
"epoch": 1.72,
"learning_rate": 0.001,
"loss": 0.816,
"step": 193500
},
{
"epoch": 1.72,
"learning_rate": 0.001,
"loss": 0.8139,
"step": 194000
},
{
"epoch": 1.73,
"learning_rate": 0.001,
"loss": 0.8126,
"step": 194500
},
{
"epoch": 1.73,
"learning_rate": 0.001,
"loss": 0.8168,
"step": 195000
},
{
"epoch": 1.74,
"learning_rate": 0.001,
"loss": 0.8348,
"step": 195500
},
{
"epoch": 1.74,
"learning_rate": 0.001,
"loss": 0.8248,
"step": 196000
},
{
"epoch": 1.75,
"learning_rate": 0.001,
"loss": 0.8201,
"step": 196500
},
{
"epoch": 1.75,
"learning_rate": 0.001,
"loss": 0.8142,
"step": 197000
},
{
"epoch": 1.76,
"learning_rate": 0.001,
"loss": 0.8046,
"step": 197500
},
{
"epoch": 1.76,
"learning_rate": 0.001,
"loss": 0.8027,
"step": 198000
},
{
"epoch": 1.76,
"learning_rate": 0.001,
"loss": 0.8127,
"step": 198500
},
{
"epoch": 1.77,
"learning_rate": 0.001,
"loss": 0.8314,
"step": 199000
},
{
"epoch": 1.77,
"learning_rate": 0.001,
"loss": 0.8192,
"step": 199500
},
{
"epoch": 1.78,
"learning_rate": 0.001,
"loss": 0.8005,
"step": 200000
},
{
"epoch": 1.78,
"learning_rate": 0.001,
"loss": 0.8173,
"step": 200500
},
{
"epoch": 1.79,
"learning_rate": 0.001,
"loss": 0.8133,
"step": 201000
},
{
"epoch": 1.79,
"learning_rate": 0.001,
"loss": 0.8144,
"step": 201500
},
{
"epoch": 1.8,
"learning_rate": 0.001,
"loss": 0.8199,
"step": 202000
},
{
"epoch": 1.8,
"learning_rate": 0.001,
"loss": 0.7955,
"step": 202500
},
{
"epoch": 1.8,
"learning_rate": 0.001,
"loss": 0.8012,
"step": 203000
},
{
"epoch": 1.81,
"learning_rate": 0.001,
"loss": 0.807,
"step": 203500
},
{
"epoch": 1.81,
"learning_rate": 0.001,
"loss": 0.8053,
"step": 204000
},
{
"epoch": 1.82,
"learning_rate": 0.001,
"loss": 0.8077,
"step": 204500
},
{
"epoch": 1.82,
"learning_rate": 0.001,
"loss": 0.8047,
"step": 205000
},
{
"epoch": 1.83,
"learning_rate": 0.001,
"loss": 0.7873,
"step": 205500
},
{
"epoch": 1.83,
"learning_rate": 0.001,
"loss": 0.8178,
"step": 206000
},
{
"epoch": 1.84,
"learning_rate": 0.001,
"loss": 0.8041,
"step": 206500
},
{
"epoch": 1.84,
"learning_rate": 0.001,
"loss": 0.8003,
"step": 207000
},
{
"epoch": 1.84,
"learning_rate": 0.001,
"loss": 0.799,
"step": 207500
},
{
"epoch": 1.85,
"learning_rate": 0.001,
"loss": 0.8095,
"step": 208000
},
{
"epoch": 1.85,
"learning_rate": 0.001,
"loss": 0.8133,
"step": 208500
},
{
"epoch": 1.86,
"learning_rate": 0.001,
"loss": 0.8091,
"step": 209000
},
{
"epoch": 1.86,
"learning_rate": 0.001,
"loss": 0.8016,
"step": 209500
},
{
"epoch": 1.87,
"learning_rate": 0.001,
"loss": 0.796,
"step": 210000
},
{
"epoch": 1.87,
"learning_rate": 0.001,
"loss": 0.7999,
"step": 210500
},
{
"epoch": 1.88,
"learning_rate": 0.001,
"loss": 0.8037,
"step": 211000
},
{
"epoch": 1.88,
"learning_rate": 0.001,
"loss": 0.8096,
"step": 211500
},
{
"epoch": 1.88,
"learning_rate": 0.001,
"loss": 0.7965,
"step": 212000
},
{
"epoch": 1.89,
"learning_rate": 0.001,
"loss": 0.8053,
"step": 212500
},
{
"epoch": 1.89,
"learning_rate": 0.001,
"loss": 0.7845,
"step": 213000
},
{
"epoch": 1.9,
"learning_rate": 0.001,
"loss": 0.812,
"step": 213500
},
{
"epoch": 1.9,
"learning_rate": 0.001,
"loss": 0.7981,
"step": 214000
},
{
"epoch": 1.91,
"learning_rate": 0.001,
"loss": 0.7889,
"step": 214500
},
{
"epoch": 1.91,
"learning_rate": 0.001,
"loss": 0.7928,
"step": 215000
},
{
"epoch": 1.92,
"learning_rate": 0.001,
"loss": 0.7977,
"step": 215500
},
{
"epoch": 1.92,
"learning_rate": 0.001,
"loss": 0.8108,
"step": 216000
},
{
"epoch": 1.92,
"learning_rate": 0.001,
"loss": 0.7999,
"step": 216500
},
{
"epoch": 1.93,
"learning_rate": 0.001,
"loss": 0.8031,
"step": 217000
},
{
"epoch": 1.93,
"learning_rate": 0.001,
"loss": 0.8014,
"step": 217500
},
{
"epoch": 1.94,
"learning_rate": 0.001,
"loss": 0.7943,
"step": 218000
},
{
"epoch": 1.94,
"learning_rate": 0.001,
"loss": 0.7998,
"step": 218500
},
{
"epoch": 1.95,
"learning_rate": 0.001,
"loss": 0.8035,
"step": 219000
},
{
"epoch": 1.95,
"learning_rate": 0.001,
"loss": 0.8102,
"step": 219500
},
{
"epoch": 1.96,
"learning_rate": 0.001,
"loss": 0.7945,
"step": 220000
},
{
"epoch": 1.96,
"learning_rate": 0.001,
"loss": 0.7827,
"step": 220500
},
{
"epoch": 1.96,
"learning_rate": 0.001,
"loss": 0.8058,
"step": 221000
},
{
"epoch": 1.97,
"learning_rate": 0.001,
"loss": 0.7898,
"step": 221500
},
{
"epoch": 1.97,
"learning_rate": 0.001,
"loss": 0.8023,
"step": 222000
},
{
"epoch": 1.98,
"learning_rate": 0.001,
"loss": 0.7975,
"step": 222500
},
{
"epoch": 1.98,
"learning_rate": 0.001,
"loss": 0.7971,
"step": 223000
},
{
"epoch": 1.99,
"learning_rate": 0.001,
"loss": 0.7937,
"step": 223500
},
{
"epoch": 1.99,
"learning_rate": 0.001,
"loss": 0.8034,
"step": 224000
},
{
"epoch": 2.0,
"learning_rate": 0.001,
"loss": 0.7894,
"step": 224500
},
{
"epoch": 2.0,
"learning_rate": 0.001,
"loss": 0.7931,
"step": 225000
},
{
"epoch": 2.0,
"eval_bleu": 25.3566,
"eval_gen_len": 11.3335,
"eval_loss": 1.1507222652435303,
"eval_runtime": 423.4735,
"eval_samples_per_second": 33.06,
"step": 225000
},
{
"epoch": 2.0,
"learning_rate": 0.001,
"loss": 0.7253,
"step": 225500
},
{
"epoch": 2.01,
"learning_rate": 0.001,
"loss": 0.7256,
"step": 226000
},
{
"epoch": 2.01,
"learning_rate": 0.001,
"loss": 0.737,
"step": 226500
},
{
"epoch": 2.02,
"learning_rate": 0.001,
"loss": 0.7269,
"step": 227000
},
{
"epoch": 2.02,
"learning_rate": 0.001,
"loss": 0.7416,
"step": 227500
},
{
"epoch": 2.03,
"learning_rate": 0.001,
"loss": 0.7401,
"step": 228000
},
{
"epoch": 2.03,
"learning_rate": 0.001,
"loss": 0.7468,
"step": 228500
},
{
"epoch": 2.04,
"learning_rate": 0.001,
"loss": 0.7392,
"step": 229000
},
{
"epoch": 2.04,
"learning_rate": 0.001,
"loss": 0.728,
"step": 229500
},
{
"epoch": 2.04,
"learning_rate": 0.001,
"loss": 0.741,
"step": 230000
},
{
"epoch": 2.05,
"learning_rate": 0.001,
"loss": 0.7415,
"step": 230500
},
{
"epoch": 2.05,
"learning_rate": 0.001,
"loss": 0.721,
"step": 231000
},
{
"epoch": 2.06,
"learning_rate": 0.001,
"loss": 0.7308,
"step": 231500
},
{
"epoch": 2.06,
"learning_rate": 0.001,
"loss": 0.7378,
"step": 232000
},
{
"epoch": 2.07,
"learning_rate": 0.001,
"loss": 0.7433,
"step": 232500
},
{
"epoch": 2.07,
"learning_rate": 0.001,
"loss": 0.7267,
"step": 233000
},
{
"epoch": 2.08,
"learning_rate": 0.001,
"loss": 0.7335,
"step": 233500
},
{
"epoch": 2.08,
"learning_rate": 0.001,
"loss": 0.7513,
"step": 234000
},
{
"epoch": 2.08,
"learning_rate": 0.001,
"loss": 0.7453,
"step": 234500
},
{
"epoch": 2.09,
"learning_rate": 0.001,
"loss": 0.7346,
"step": 235000
},
{
"epoch": 2.09,
"learning_rate": 0.001,
"loss": 0.7454,
"step": 235500
},
{
"epoch": 2.1,
"learning_rate": 0.001,
"loss": 0.7376,
"step": 236000
},
{
"epoch": 2.1,
"learning_rate": 0.001,
"loss": 0.7269,
"step": 236500
},
{
"epoch": 2.11,
"learning_rate": 0.001,
"loss": 0.7299,
"step": 237000
},
{
"epoch": 2.11,
"learning_rate": 0.001,
"loss": 0.7482,
"step": 237500
},
{
"epoch": 2.12,
"learning_rate": 0.001,
"loss": 0.7489,
"step": 238000
},
{
"epoch": 2.12,
"learning_rate": 0.001,
"loss": 0.7369,
"step": 238500
},
{
"epoch": 2.12,
"learning_rate": 0.001,
"loss": 0.737,
"step": 239000
},
{
"epoch": 2.13,
"learning_rate": 0.001,
"loss": 0.738,
"step": 239500
},
{
"epoch": 2.13,
"learning_rate": 0.001,
"loss": 0.7427,
"step": 240000
},
{
"epoch": 2.14,
"learning_rate": 0.001,
"loss": 0.7427,
"step": 240500
},
{
"epoch": 2.14,
"learning_rate": 0.001,
"loss": 0.7381,
"step": 241000
},
{
"epoch": 2.15,
"learning_rate": 0.001,
"loss": 0.7344,
"step": 241500
},
{
"epoch": 2.15,
"learning_rate": 0.001,
"loss": 0.7378,
"step": 242000
},
{
"epoch": 2.16,
"learning_rate": 0.001,
"loss": 0.7354,
"step": 242500
},
{
"epoch": 2.16,
"learning_rate": 0.001,
"loss": 0.7284,
"step": 243000
},
{
"epoch": 2.16,
"learning_rate": 0.001,
"loss": 0.7332,
"step": 243500
},
{
"epoch": 2.17,
"learning_rate": 0.001,
"loss": 0.7295,
"step": 244000
},
{
"epoch": 2.17,
"learning_rate": 0.001,
"loss": 0.7441,
"step": 244500
},
{
"epoch": 2.18,
"learning_rate": 0.001,
"loss": 0.7482,
"step": 245000
},
{
"epoch": 2.18,
"learning_rate": 0.001,
"loss": 0.7387,
"step": 245500
},
{
"epoch": 2.19,
"learning_rate": 0.001,
"loss": 0.7443,
"step": 246000
},
{
"epoch": 2.19,
"learning_rate": 0.001,
"loss": 0.7458,
"step": 246500
},
{
"epoch": 2.2,
"learning_rate": 0.001,
"loss": 0.7347,
"step": 247000
},
{
"epoch": 2.2,
"learning_rate": 0.001,
"loss": 0.7474,
"step": 247500
},
{
"epoch": 2.2,
"learning_rate": 0.001,
"loss": 0.7404,
"step": 248000
},
{
"epoch": 2.21,
"learning_rate": 0.001,
"loss": 0.7364,
"step": 248500
},
{
"epoch": 2.21,
"learning_rate": 0.001,
"loss": 0.7472,
"step": 249000
},
{
"epoch": 2.22,
"learning_rate": 0.001,
"loss": 0.7474,
"step": 249500
},
{
"epoch": 2.22,
"learning_rate": 0.001,
"loss": 0.7337,
"step": 250000
},
{
"epoch": 2.23,
"learning_rate": 0.001,
"loss": 0.7369,
"step": 250500
},
{
"epoch": 2.23,
"learning_rate": 0.001,
"loss": 0.7431,
"step": 251000
},
{
"epoch": 2.24,
"learning_rate": 0.001,
"loss": 0.7295,
"step": 251500
},
{
"epoch": 2.24,
"learning_rate": 0.001,
"loss": 0.7479,
"step": 252000
},
{
"epoch": 2.24,
"learning_rate": 0.001,
"loss": 0.7457,
"step": 252500
},
{
"epoch": 2.25,
"learning_rate": 0.001,
"loss": 0.741,
"step": 253000
},
{
"epoch": 2.25,
"learning_rate": 0.001,
"loss": 0.7333,
"step": 253500
},
{
"epoch": 2.26,
"learning_rate": 0.001,
"loss": 0.7445,
"step": 254000
},
{
"epoch": 2.26,
"learning_rate": 0.001,
"loss": 0.7334,
"step": 254500
},
{
"epoch": 2.27,
"learning_rate": 0.001,
"loss": 0.7405,
"step": 255000
},
{
"epoch": 2.27,
"learning_rate": 0.001,
"loss": 0.7382,
"step": 255500
},
{
"epoch": 2.28,
"learning_rate": 0.001,
"loss": 0.7421,
"step": 256000
},
{
"epoch": 2.28,
"learning_rate": 0.001,
"loss": 0.7422,
"step": 256500
},
{
"epoch": 2.28,
"learning_rate": 0.001,
"loss": 0.7331,
"step": 257000
},
{
"epoch": 2.29,
"learning_rate": 0.001,
"loss": 0.7303,
"step": 257500
},
{
"epoch": 2.29,
"learning_rate": 0.001,
"loss": 0.7348,
"step": 258000
},
{
"epoch": 2.3,
"learning_rate": 0.001,
"loss": 0.7532,
"step": 258500
},
{
"epoch": 2.3,
"learning_rate": 0.001,
"loss": 0.7396,
"step": 259000
},
{
"epoch": 2.31,
"learning_rate": 0.001,
"loss": 0.7383,
"step": 259500
},
{
"epoch": 2.31,
"learning_rate": 0.001,
"loss": 0.7474,
"step": 260000
},
{
"epoch": 2.32,
"learning_rate": 0.001,
"loss": 0.733,
"step": 260500
},
{
"epoch": 2.32,
"learning_rate": 0.001,
"loss": 0.7368,
"step": 261000
},
{
"epoch": 2.32,
"learning_rate": 0.001,
"loss": 0.7301,
"step": 261500
},
{
"epoch": 2.33,
"learning_rate": 0.001,
"loss": 0.7414,
"step": 262000
},
{
"epoch": 2.33,
"learning_rate": 0.001,
"loss": 0.7374,
"step": 262500
},
{
"epoch": 2.34,
"learning_rate": 0.001,
"loss": 0.7529,
"step": 263000
},
{
"epoch": 2.34,
"learning_rate": 0.001,
"loss": 0.7328,
"step": 263500
},
{
"epoch": 2.35,
"learning_rate": 0.001,
"loss": 0.7442,
"step": 264000
},
{
"epoch": 2.35,
"learning_rate": 0.001,
"loss": 0.7357,
"step": 264500
},
{
"epoch": 2.36,
"learning_rate": 0.001,
"loss": 0.7313,
"step": 265000
},
{
"epoch": 2.36,
"learning_rate": 0.001,
"loss": 0.7404,
"step": 265500
},
{
"epoch": 2.36,
"learning_rate": 0.001,
"loss": 0.7372,
"step": 266000
},
{
"epoch": 2.37,
"learning_rate": 0.001,
"loss": 0.7419,
"step": 266500
},
{
"epoch": 2.37,
"learning_rate": 0.001,
"loss": 0.7305,
"step": 267000
},
{
"epoch": 2.38,
"learning_rate": 0.001,
"loss": 0.7376,
"step": 267500
},
{
"epoch": 2.38,
"learning_rate": 0.001,
"loss": 0.722,
"step": 268000
},
{
"epoch": 2.39,
"learning_rate": 0.001,
"loss": 0.7442,
"step": 268500
},
{
"epoch": 2.39,
"learning_rate": 0.001,
"loss": 0.7323,
"step": 269000
},
{
"epoch": 2.4,
"learning_rate": 0.001,
"loss": 0.7262,
"step": 269500
},
{
"epoch": 2.4,
"learning_rate": 0.001,
"loss": 0.7313,
"step": 270000
},
{
"epoch": 2.4,
"learning_rate": 0.001,
"loss": 0.7305,
"step": 270500
},
{
"epoch": 2.41,
"learning_rate": 0.001,
"loss": 0.7271,
"step": 271000
},
{
"epoch": 2.41,
"learning_rate": 0.001,
"loss": 0.7391,
"step": 271500
},
{
"epoch": 2.42,
"learning_rate": 0.001,
"loss": 0.7361,
"step": 272000
},
{
"epoch": 2.42,
"learning_rate": 0.001,
"loss": 0.7339,
"step": 272500
},
{
"epoch": 2.43,
"learning_rate": 0.001,
"loss": 0.7318,
"step": 273000
},
{
"epoch": 2.43,
"learning_rate": 0.001,
"loss": 0.7278,
"step": 273500
},
{
"epoch": 2.44,
"learning_rate": 0.001,
"loss": 0.7438,
"step": 274000
},
{
"epoch": 2.44,
"learning_rate": 0.001,
"loss": 0.7411,
"step": 274500
},
{
"epoch": 2.44,
"learning_rate": 0.001,
"loss": 0.7447,
"step": 275000
},
{
"epoch": 2.45,
"learning_rate": 0.001,
"loss": 0.7326,
"step": 275500
},
{
"epoch": 2.45,
"learning_rate": 0.001,
"loss": 0.7282,
"step": 276000
},
{
"epoch": 2.46,
"learning_rate": 0.001,
"loss": 0.7312,
"step": 276500
},
{
"epoch": 2.46,
"learning_rate": 0.001,
"loss": 0.7387,
"step": 277000
},
{
"epoch": 2.47,
"learning_rate": 0.001,
"loss": 0.7263,
"step": 277500
},
{
"epoch": 2.47,
"learning_rate": 0.001,
"loss": 0.715,
"step": 278000
},
{
"epoch": 2.48,
"learning_rate": 0.001,
"loss": 0.722,
"step": 278500
},
{
"epoch": 2.48,
"learning_rate": 0.001,
"loss": 0.7268,
"step": 279000
},
{
"epoch": 2.48,
"learning_rate": 0.001,
"loss": 0.7386,
"step": 279500
},
{
"epoch": 2.49,
"learning_rate": 0.001,
"loss": 0.7435,
"step": 280000
},
{
"epoch": 2.49,
"learning_rate": 0.001,
"loss": 0.7273,
"step": 280500
},
{
"epoch": 2.5,
"learning_rate": 0.001,
"loss": 0.7378,
"step": 281000
},
{
"epoch": 2.5,
"learning_rate": 0.001,
"loss": 0.7376,
"step": 281500
},
{
"epoch": 2.51,
"learning_rate": 0.001,
"loss": 0.7397,
"step": 282000
},
{
"epoch": 2.51,
"learning_rate": 0.001,
"loss": 0.7364,
"step": 282500
},
{
"epoch": 2.52,
"learning_rate": 0.001,
"loss": 0.7197,
"step": 283000
},
{
"epoch": 2.52,
"learning_rate": 0.001,
"loss": 0.7421,
"step": 283500
},
{
"epoch": 2.52,
"learning_rate": 0.001,
"loss": 0.7335,
"step": 284000
},
{
"epoch": 2.53,
"learning_rate": 0.001,
"loss": 0.7281,
"step": 284500
},
{
"epoch": 2.53,
"learning_rate": 0.001,
"loss": 0.7263,
"step": 285000
},
{
"epoch": 2.54,
"learning_rate": 0.001,
"loss": 0.7195,
"step": 285500
},
{
"epoch": 2.54,
"learning_rate": 0.001,
"loss": 0.7336,
"step": 286000
},
{
"epoch": 2.55,
"learning_rate": 0.001,
"loss": 0.7307,
"step": 286500
},
{
"epoch": 2.55,
"learning_rate": 0.001,
"loss": 0.7255,
"step": 287000
},
{
"epoch": 2.56,
"learning_rate": 0.001,
"loss": 0.7471,
"step": 287500
},
{
"epoch": 2.56,
"learning_rate": 0.001,
"loss": 0.7307,
"step": 288000
},
{
"epoch": 2.56,
"learning_rate": 0.001,
"loss": 0.7251,
"step": 288500
},
{
"epoch": 2.57,
"learning_rate": 0.001,
"loss": 0.7269,
"step": 289000
},
{
"epoch": 2.57,
"learning_rate": 0.001,
"loss": 0.7324,
"step": 289500
},
{
"epoch": 2.58,
"learning_rate": 0.001,
"loss": 0.7142,
"step": 290000
},
{
"epoch": 2.58,
"learning_rate": 0.001,
"loss": 0.7318,
"step": 290500
},
{
"epoch": 2.59,
"learning_rate": 0.001,
"loss": 0.7236,
"step": 291000
},
{
"epoch": 2.59,
"learning_rate": 0.001,
"loss": 0.7267,
"step": 291500
},
{
"epoch": 2.6,
"learning_rate": 0.001,
"loss": 0.7387,
"step": 292000
},
{
"epoch": 2.6,
"learning_rate": 0.001,
"loss": 0.7299,
"step": 292500
},
{
"epoch": 2.6,
"learning_rate": 0.001,
"loss": 0.7518,
"step": 293000
},
{
"epoch": 2.61,
"learning_rate": 0.001,
"loss": 0.7227,
"step": 293500
},
{
"epoch": 2.61,
"learning_rate": 0.001,
"loss": 0.7261,
"step": 294000
},
{
"epoch": 2.62,
"learning_rate": 0.001,
"loss": 0.7325,
"step": 294500
},
{
"epoch": 2.62,
"learning_rate": 0.001,
"loss": 0.7262,
"step": 295000
},
{
"epoch": 2.63,
"learning_rate": 0.001,
"loss": 0.7226,
"step": 295500
},
{
"epoch": 2.63,
"learning_rate": 0.001,
"loss": 0.7218,
"step": 296000
},
{
"epoch": 2.64,
"learning_rate": 0.001,
"loss": 0.7392,
"step": 296500
},
{
"epoch": 2.64,
"learning_rate": 0.001,
"loss": 0.7262,
"step": 297000
},
{
"epoch": 2.64,
"learning_rate": 0.001,
"loss": 0.7234,
"step": 297500
},
{
"epoch": 2.65,
"learning_rate": 0.001,
"loss": 0.7265,
"step": 298000
},
{
"epoch": 2.65,
"learning_rate": 0.001,
"loss": 0.721,
"step": 298500
},
{
"epoch": 2.66,
"learning_rate": 0.001,
"loss": 0.7163,
"step": 299000
},
{
"epoch": 2.66,
"learning_rate": 0.001,
"loss": 0.7361,
"step": 299500
},
{
"epoch": 2.67,
"learning_rate": 0.001,
"loss": 0.7102,
"step": 300000
},
{
"epoch": 2.67,
"learning_rate": 0.001,
"loss": 0.727,
"step": 300500
},
{
"epoch": 2.68,
"learning_rate": 0.001,
"loss": 0.7309,
"step": 301000
},
{
"epoch": 2.68,
"learning_rate": 0.001,
"loss": 0.7185,
"step": 301500
},
{
"epoch": 2.68,
"learning_rate": 0.001,
"loss": 0.7242,
"step": 302000
},
{
"epoch": 2.69,
"learning_rate": 0.001,
"loss": 0.7308,
"step": 302500
},
{
"epoch": 2.69,
"learning_rate": 0.001,
"loss": 0.7323,
"step": 303000
},
{
"epoch": 2.7,
"learning_rate": 0.001,
"loss": 0.7293,
"step": 303500
},
{
"epoch": 2.7,
"learning_rate": 0.001,
"loss": 0.7078,
"step": 304000
},
{
"epoch": 2.71,
"learning_rate": 0.001,
"loss": 0.719,
"step": 304500
},
{
"epoch": 2.71,
"learning_rate": 0.001,
"loss": 0.7252,
"step": 305000
},
{
"epoch": 2.72,
"learning_rate": 0.001,
"loss": 0.7252,
"step": 305500
},
{
"epoch": 2.72,
"learning_rate": 0.001,
"loss": 0.7243,
"step": 306000
},
{
"epoch": 2.72,
"learning_rate": 0.001,
"loss": 0.7154,
"step": 306500
},
{
"epoch": 2.73,
"learning_rate": 0.001,
"loss": 0.718,
"step": 307000
},
{
"epoch": 2.73,
"learning_rate": 0.001,
"loss": 0.7238,
"step": 307500
},
{
"epoch": 2.74,
"learning_rate": 0.001,
"loss": 0.7181,
"step": 308000
},
{
"epoch": 2.74,
"learning_rate": 0.001,
"loss": 0.7288,
"step": 308500
},
{
"epoch": 2.75,
"learning_rate": 0.001,
"loss": 0.717,
"step": 309000
},
{
"epoch": 2.75,
"learning_rate": 0.001,
"loss": 0.7242,
"step": 309500
},
{
"epoch": 2.76,
"learning_rate": 0.001,
"loss": 0.7265,
"step": 310000
},
{
"epoch": 2.76,
"learning_rate": 0.001,
"loss": 0.7091,
"step": 310500
},
{
"epoch": 2.76,
"learning_rate": 0.001,
"loss": 0.7156,
"step": 311000
},
{
"epoch": 2.77,
"learning_rate": 0.001,
"loss": 0.7215,
"step": 311500
},
{
"epoch": 2.77,
"learning_rate": 0.001,
"loss": 0.719,
"step": 312000
},
{
"epoch": 2.78,
"learning_rate": 0.001,
"loss": 0.7224,
"step": 312500
},
{
"epoch": 2.78,
"learning_rate": 0.001,
"loss": 0.726,
"step": 313000
},
{
"epoch": 2.79,
"learning_rate": 0.001,
"loss": 0.7081,
"step": 313500
},
{
"epoch": 2.79,
"learning_rate": 0.001,
"loss": 0.714,
"step": 314000
},
{
"epoch": 2.8,
"learning_rate": 0.001,
"loss": 0.7191,
"step": 314500
},
{
"epoch": 2.8,
"learning_rate": 0.001,
"loss": 0.7115,
"step": 315000
},
{
"epoch": 2.8,
"learning_rate": 0.001,
"loss": 0.711,
"step": 315500
},
{
"epoch": 2.81,
"learning_rate": 0.001,
"loss": 0.7064,
"step": 316000
},
{
"epoch": 2.81,
"learning_rate": 0.001,
"loss": 0.7096,
"step": 316500
},
{
"epoch": 2.82,
"learning_rate": 0.001,
"loss": 0.7159,
"step": 317000
},
{
"epoch": 2.82,
"learning_rate": 0.001,
"loss": 0.7251,
"step": 317500
},
{
"epoch": 2.83,
"learning_rate": 0.001,
"loss": 0.7117,
"step": 318000
},
{
"epoch": 2.83,
"learning_rate": 0.001,
"loss": 0.7108,
"step": 318500
},
{
"epoch": 2.84,
"learning_rate": 0.001,
"loss": 0.7104,
"step": 319000
},
{
"epoch": 2.84,
"learning_rate": 0.001,
"loss": 0.7087,
"step": 319500
},
{
"epoch": 2.84,
"learning_rate": 0.001,
"loss": 0.7163,
"step": 320000
},
{
"epoch": 2.85,
"learning_rate": 0.001,
"loss": 0.7341,
"step": 320500
},
{
"epoch": 2.85,
"learning_rate": 0.001,
"loss": 0.7153,
"step": 321000
},
{
"epoch": 2.86,
"learning_rate": 0.001,
"loss": 0.717,
"step": 321500
},
{
"epoch": 2.86,
"learning_rate": 0.001,
"loss": 0.7155,
"step": 322000
},
{
"epoch": 2.87,
"learning_rate": 0.001,
"loss": 0.7144,
"step": 322500
},
{
"epoch": 2.87,
"learning_rate": 0.001,
"loss": 0.7093,
"step": 323000
},
{
"epoch": 2.88,
"learning_rate": 0.001,
"loss": 0.7071,
"step": 323500
},
{
"epoch": 2.88,
"learning_rate": 0.001,
"loss": 0.7087,
"step": 324000
},
{
"epoch": 2.88,
"learning_rate": 0.001,
"loss": 0.7374,
"step": 324500
},
{
"epoch": 2.89,
"learning_rate": 0.001,
"loss": 0.7276,
"step": 325000
},
{
"epoch": 2.89,
"learning_rate": 0.001,
"loss": 0.7269,
"step": 325500
},
{
"epoch": 2.9,
"learning_rate": 0.001,
"loss": 0.7252,
"step": 326000
},
{
"epoch": 2.9,
"learning_rate": 0.001,
"loss": 0.7061,
"step": 326500
},
{
"epoch": 2.91,
"learning_rate": 0.001,
"loss": 0.7138,
"step": 327000
},
{
"epoch": 2.91,
"learning_rate": 0.001,
"loss": 0.7033,
"step": 327500
},
{
"epoch": 2.92,
"learning_rate": 0.001,
"loss": 0.7057,
"step": 328000
},
{
"epoch": 2.92,
"learning_rate": 0.001,
"loss": 0.7082,
"step": 328500
},
{
"epoch": 2.92,
"learning_rate": 0.001,
"loss": 0.7056,
"step": 329000
},
{
"epoch": 2.93,
"learning_rate": 0.001,
"loss": 0.7125,
"step": 329500
},
{
"epoch": 2.93,
"learning_rate": 0.001,
"loss": 0.7022,
"step": 330000
},
{
"epoch": 2.94,
"learning_rate": 0.001,
"loss": 0.7132,
"step": 330500
},
{
"epoch": 2.94,
"learning_rate": 0.001,
"loss": 0.7175,
"step": 331000
},
{
"epoch": 2.95,
"learning_rate": 0.001,
"loss": 0.7104,
"step": 331500
},
{
"epoch": 2.95,
"learning_rate": 0.001,
"loss": 0.7158,
"step": 332000
},
{
"epoch": 2.96,
"learning_rate": 0.001,
"loss": 0.7102,
"step": 332500
}
],
"max_steps": 337500,
"num_train_epochs": 3,
"total_flos": 369594455408640.0,
"trial_name": null,
"trial_params": null
}