qcpg-parabk2-mt5 / trainer_state.json
bibekyess's picture
Uploads demo qcpg for testing
5d43f20
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.5466666666666666,
"global_step": 174000,
"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": 3.4556,
"step": 500
},
{
"epoch": 0.01,
"learning_rate": 0.001,
"loss": 2.4843,
"step": 1000
},
{
"epoch": 0.01,
"learning_rate": 0.001,
"loss": 2.3101,
"step": 1500
},
{
"epoch": 0.02,
"learning_rate": 0.001,
"loss": 2.2064,
"step": 2000
},
{
"epoch": 0.02,
"learning_rate": 0.001,
"loss": 2.1047,
"step": 2500
},
{
"epoch": 0.03,
"learning_rate": 0.001,
"loss": 2.0111,
"step": 3000
},
{
"epoch": 0.03,
"learning_rate": 0.001,
"loss": 1.9859,
"step": 3500
},
{
"epoch": 0.04,
"learning_rate": 0.001,
"loss": 1.9798,
"step": 4000
},
{
"epoch": 0.04,
"learning_rate": 0.001,
"loss": 1.9326,
"step": 4500
},
{
"epoch": 0.04,
"learning_rate": 0.001,
"loss": 1.9219,
"step": 5000
},
{
"epoch": 0.05,
"learning_rate": 0.001,
"loss": 1.8928,
"step": 5500
},
{
"epoch": 0.05,
"learning_rate": 0.001,
"loss": 1.821,
"step": 6000
},
{
"epoch": 0.06,
"learning_rate": 0.001,
"loss": 1.8349,
"step": 6500
},
{
"epoch": 0.06,
"learning_rate": 0.001,
"loss": 1.802,
"step": 7000
},
{
"epoch": 0.07,
"learning_rate": 0.001,
"loss": 1.7597,
"step": 7500
},
{
"epoch": 0.07,
"learning_rate": 0.001,
"loss": 1.7561,
"step": 8000
},
{
"epoch": 0.08,
"learning_rate": 0.001,
"loss": 1.7207,
"step": 8500
},
{
"epoch": 0.08,
"learning_rate": 0.001,
"loss": 1.7251,
"step": 9000
},
{
"epoch": 0.08,
"learning_rate": 0.001,
"loss": 1.7242,
"step": 9500
},
{
"epoch": 0.09,
"learning_rate": 0.001,
"loss": 1.7137,
"step": 10000
},
{
"epoch": 0.09,
"learning_rate": 0.001,
"loss": 1.6853,
"step": 10500
},
{
"epoch": 0.1,
"learning_rate": 0.001,
"loss": 1.6986,
"step": 11000
},
{
"epoch": 0.1,
"learning_rate": 0.001,
"loss": 1.6425,
"step": 11500
},
{
"epoch": 0.11,
"learning_rate": 0.001,
"loss": 1.6921,
"step": 12000
},
{
"epoch": 0.11,
"learning_rate": 0.001,
"loss": 1.6364,
"step": 12500
},
{
"epoch": 0.12,
"learning_rate": 0.001,
"loss": 1.6264,
"step": 13000
},
{
"epoch": 0.12,
"learning_rate": 0.001,
"loss": 1.6333,
"step": 13500
},
{
"epoch": 0.12,
"learning_rate": 0.001,
"loss": 1.6122,
"step": 14000
},
{
"epoch": 0.13,
"learning_rate": 0.001,
"loss": 1.5976,
"step": 14500
},
{
"epoch": 0.13,
"learning_rate": 0.001,
"loss": 1.6001,
"step": 15000
},
{
"epoch": 0.14,
"learning_rate": 0.001,
"loss": 1.5895,
"step": 15500
},
{
"epoch": 0.14,
"learning_rate": 0.001,
"loss": 1.5867,
"step": 16000
},
{
"epoch": 0.15,
"learning_rate": 0.001,
"loss": 1.6001,
"step": 16500
},
{
"epoch": 0.15,
"learning_rate": 0.001,
"loss": 1.5723,
"step": 17000
},
{
"epoch": 0.16,
"learning_rate": 0.001,
"loss": 1.5526,
"step": 17500
},
{
"epoch": 0.16,
"learning_rate": 0.001,
"loss": 1.5429,
"step": 18000
},
{
"epoch": 0.16,
"learning_rate": 0.001,
"loss": 1.5487,
"step": 18500
},
{
"epoch": 0.17,
"learning_rate": 0.001,
"loss": 1.5323,
"step": 19000
},
{
"epoch": 0.17,
"learning_rate": 0.001,
"loss": 1.545,
"step": 19500
},
{
"epoch": 0.18,
"learning_rate": 0.001,
"loss": 1.5183,
"step": 20000
},
{
"epoch": 0.18,
"learning_rate": 0.001,
"loss": 1.5281,
"step": 20500
},
{
"epoch": 0.19,
"learning_rate": 0.001,
"loss": 1.5144,
"step": 21000
},
{
"epoch": 0.19,
"learning_rate": 0.001,
"loss": 1.5134,
"step": 21500
},
{
"epoch": 0.2,
"learning_rate": 0.001,
"loss": 1.4865,
"step": 22000
},
{
"epoch": 0.2,
"learning_rate": 0.001,
"loss": 1.4814,
"step": 22500
},
{
"epoch": 0.2,
"learning_rate": 0.001,
"loss": 1.5141,
"step": 23000
},
{
"epoch": 0.21,
"learning_rate": 0.001,
"loss": 1.5223,
"step": 23500
},
{
"epoch": 0.21,
"learning_rate": 0.001,
"loss": 1.4913,
"step": 24000
},
{
"epoch": 0.22,
"learning_rate": 0.001,
"loss": 1.4862,
"step": 24500
},
{
"epoch": 0.22,
"learning_rate": 0.001,
"loss": 1.4814,
"step": 25000
},
{
"epoch": 0.23,
"learning_rate": 0.001,
"loss": 1.4684,
"step": 25500
},
{
"epoch": 0.23,
"learning_rate": 0.001,
"loss": 1.4753,
"step": 26000
},
{
"epoch": 0.24,
"learning_rate": 0.001,
"loss": 1.4666,
"step": 26500
},
{
"epoch": 0.24,
"learning_rate": 0.001,
"loss": 1.4431,
"step": 27000
},
{
"epoch": 0.24,
"learning_rate": 0.001,
"loss": 1.4427,
"step": 27500
},
{
"epoch": 0.25,
"learning_rate": 0.001,
"loss": 1.4621,
"step": 28000
},
{
"epoch": 0.25,
"learning_rate": 0.001,
"loss": 1.43,
"step": 28500
},
{
"epoch": 0.26,
"learning_rate": 0.001,
"loss": 1.4348,
"step": 29000
},
{
"epoch": 0.26,
"learning_rate": 0.001,
"loss": 1.4254,
"step": 29500
},
{
"epoch": 0.27,
"learning_rate": 0.001,
"loss": 1.4607,
"step": 30000
},
{
"epoch": 0.27,
"learning_rate": 0.001,
"loss": 1.4302,
"step": 30500
},
{
"epoch": 0.28,
"learning_rate": 0.001,
"loss": 1.4194,
"step": 31000
},
{
"epoch": 0.28,
"learning_rate": 0.001,
"loss": 1.4368,
"step": 31500
},
{
"epoch": 0.28,
"learning_rate": 0.001,
"loss": 1.4111,
"step": 32000
},
{
"epoch": 0.29,
"learning_rate": 0.001,
"loss": 1.4014,
"step": 32500
},
{
"epoch": 0.29,
"learning_rate": 0.001,
"loss": 1.3937,
"step": 33000
},
{
"epoch": 0.3,
"learning_rate": 0.001,
"loss": 1.4116,
"step": 33500
},
{
"epoch": 0.3,
"learning_rate": 0.001,
"loss": 1.425,
"step": 34000
},
{
"epoch": 0.31,
"learning_rate": 0.001,
"loss": 1.405,
"step": 34500
},
{
"epoch": 0.31,
"learning_rate": 0.001,
"loss": 1.4144,
"step": 35000
},
{
"epoch": 0.32,
"learning_rate": 0.001,
"loss": 1.3871,
"step": 35500
},
{
"epoch": 0.32,
"learning_rate": 0.001,
"loss": 1.4143,
"step": 36000
},
{
"epoch": 0.32,
"learning_rate": 0.001,
"loss": 1.4053,
"step": 36500
},
{
"epoch": 0.33,
"learning_rate": 0.001,
"loss": 1.3857,
"step": 37000
},
{
"epoch": 0.33,
"learning_rate": 0.001,
"loss": 1.4009,
"step": 37500
},
{
"epoch": 0.34,
"learning_rate": 0.001,
"loss": 1.3764,
"step": 38000
},
{
"epoch": 0.34,
"learning_rate": 0.001,
"loss": 1.3638,
"step": 38500
},
{
"epoch": 0.35,
"learning_rate": 0.001,
"loss": 1.3687,
"step": 39000
},
{
"epoch": 0.35,
"learning_rate": 0.001,
"loss": 1.3825,
"step": 39500
},
{
"epoch": 0.36,
"learning_rate": 0.001,
"loss": 1.3804,
"step": 40000
},
{
"epoch": 0.36,
"learning_rate": 0.001,
"loss": 1.3601,
"step": 40500
},
{
"epoch": 0.36,
"learning_rate": 0.001,
"loss": 1.386,
"step": 41000
},
{
"epoch": 0.37,
"learning_rate": 0.001,
"loss": 1.3633,
"step": 41500
},
{
"epoch": 0.37,
"learning_rate": 0.001,
"loss": 1.3844,
"step": 42000
},
{
"epoch": 0.38,
"learning_rate": 0.001,
"loss": 1.3465,
"step": 42500
},
{
"epoch": 0.38,
"learning_rate": 0.001,
"loss": 1.3405,
"step": 43000
},
{
"epoch": 0.39,
"learning_rate": 0.001,
"loss": 1.3266,
"step": 43500
},
{
"epoch": 0.39,
"learning_rate": 0.001,
"loss": 1.3687,
"step": 44000
},
{
"epoch": 0.4,
"learning_rate": 0.001,
"loss": 1.3169,
"step": 44500
},
{
"epoch": 0.4,
"learning_rate": 0.001,
"loss": 1.3478,
"step": 45000
},
{
"epoch": 0.4,
"learning_rate": 0.001,
"loss": 1.3242,
"step": 45500
},
{
"epoch": 0.41,
"learning_rate": 0.001,
"loss": 1.333,
"step": 46000
},
{
"epoch": 0.41,
"learning_rate": 0.001,
"loss": 1.323,
"step": 46500
},
{
"epoch": 0.42,
"learning_rate": 0.001,
"loss": 1.3311,
"step": 47000
},
{
"epoch": 0.42,
"learning_rate": 0.001,
"loss": 1.3164,
"step": 47500
},
{
"epoch": 0.43,
"learning_rate": 0.001,
"loss": 1.327,
"step": 48000
},
{
"epoch": 0.43,
"learning_rate": 0.001,
"loss": 1.3076,
"step": 48500
},
{
"epoch": 0.44,
"learning_rate": 0.001,
"loss": 1.3133,
"step": 49000
},
{
"epoch": 0.44,
"learning_rate": 0.001,
"loss": 1.3133,
"step": 49500
},
{
"epoch": 0.44,
"learning_rate": 0.001,
"loss": 1.3376,
"step": 50000
},
{
"epoch": 0.45,
"learning_rate": 0.001,
"loss": 1.3203,
"step": 50500
},
{
"epoch": 0.45,
"learning_rate": 0.001,
"loss": 1.3356,
"step": 51000
},
{
"epoch": 0.46,
"learning_rate": 0.001,
"loss": 1.3197,
"step": 51500
},
{
"epoch": 0.46,
"learning_rate": 0.001,
"loss": 1.3176,
"step": 52000
},
{
"epoch": 0.47,
"learning_rate": 0.001,
"loss": 1.3042,
"step": 52500
},
{
"epoch": 0.47,
"learning_rate": 0.001,
"loss": 1.3031,
"step": 53000
},
{
"epoch": 0.48,
"learning_rate": 0.001,
"loss": 1.2999,
"step": 53500
},
{
"epoch": 0.48,
"learning_rate": 0.001,
"loss": 1.3158,
"step": 54000
},
{
"epoch": 0.48,
"learning_rate": 0.001,
"loss": 1.2983,
"step": 54500
},
{
"epoch": 0.49,
"learning_rate": 0.001,
"loss": 1.306,
"step": 55000
},
{
"epoch": 0.49,
"learning_rate": 0.001,
"loss": 1.3072,
"step": 55500
},
{
"epoch": 0.5,
"learning_rate": 0.001,
"loss": 1.298,
"step": 56000
},
{
"epoch": 0.5,
"learning_rate": 0.001,
"loss": 1.2886,
"step": 56500
},
{
"epoch": 0.51,
"learning_rate": 0.001,
"loss": 1.296,
"step": 57000
},
{
"epoch": 0.51,
"learning_rate": 0.001,
"loss": 1.296,
"step": 57500
},
{
"epoch": 0.52,
"learning_rate": 0.001,
"loss": 1.286,
"step": 58000
},
{
"epoch": 0.52,
"learning_rate": 0.001,
"loss": 1.2855,
"step": 58500
},
{
"epoch": 0.52,
"learning_rate": 0.001,
"loss": 1.2754,
"step": 59000
},
{
"epoch": 0.53,
"learning_rate": 0.001,
"loss": 1.2904,
"step": 59500
},
{
"epoch": 0.53,
"learning_rate": 0.001,
"loss": 1.2922,
"step": 60000
},
{
"epoch": 0.54,
"learning_rate": 0.001,
"loss": 1.2966,
"step": 60500
},
{
"epoch": 0.54,
"learning_rate": 0.001,
"loss": 1.29,
"step": 61000
},
{
"epoch": 0.55,
"learning_rate": 0.001,
"loss": 1.2766,
"step": 61500
},
{
"epoch": 0.55,
"learning_rate": 0.001,
"loss": 1.2709,
"step": 62000
},
{
"epoch": 0.56,
"learning_rate": 0.001,
"loss": 1.2684,
"step": 62500
},
{
"epoch": 0.56,
"learning_rate": 0.001,
"loss": 1.2461,
"step": 63000
},
{
"epoch": 0.56,
"learning_rate": 0.001,
"loss": 1.2539,
"step": 63500
},
{
"epoch": 0.57,
"learning_rate": 0.001,
"loss": 1.2634,
"step": 64000
},
{
"epoch": 0.57,
"learning_rate": 0.001,
"loss": 1.2681,
"step": 64500
},
{
"epoch": 0.58,
"learning_rate": 0.001,
"loss": 1.2544,
"step": 65000
},
{
"epoch": 0.58,
"learning_rate": 0.001,
"loss": 1.26,
"step": 65500
},
{
"epoch": 0.59,
"learning_rate": 0.001,
"loss": 1.2601,
"step": 66000
},
{
"epoch": 0.59,
"learning_rate": 0.001,
"loss": 1.2748,
"step": 66500
},
{
"epoch": 0.6,
"learning_rate": 0.001,
"loss": 1.265,
"step": 67000
},
{
"epoch": 0.6,
"learning_rate": 0.001,
"loss": 1.2495,
"step": 67500
},
{
"epoch": 0.6,
"learning_rate": 0.001,
"loss": 1.2569,
"step": 68000
},
{
"epoch": 0.61,
"learning_rate": 0.001,
"loss": 1.2484,
"step": 68500
},
{
"epoch": 0.61,
"learning_rate": 0.001,
"loss": 1.2728,
"step": 69000
},
{
"epoch": 0.62,
"learning_rate": 0.001,
"loss": 1.231,
"step": 69500
},
{
"epoch": 0.62,
"learning_rate": 0.001,
"loss": 1.2527,
"step": 70000
},
{
"epoch": 0.63,
"learning_rate": 0.001,
"loss": 1.2294,
"step": 70500
},
{
"epoch": 0.63,
"learning_rate": 0.001,
"loss": 1.2435,
"step": 71000
},
{
"epoch": 0.64,
"learning_rate": 0.001,
"loss": 1.2319,
"step": 71500
},
{
"epoch": 0.64,
"learning_rate": 0.001,
"loss": 1.2236,
"step": 72000
},
{
"epoch": 0.64,
"learning_rate": 0.001,
"loss": 1.245,
"step": 72500
},
{
"epoch": 0.65,
"learning_rate": 0.001,
"loss": 1.2397,
"step": 73000
},
{
"epoch": 0.65,
"learning_rate": 0.001,
"loss": 1.2377,
"step": 73500
},
{
"epoch": 0.66,
"learning_rate": 0.001,
"loss": 1.2247,
"step": 74000
},
{
"epoch": 0.66,
"learning_rate": 0.001,
"loss": 1.2354,
"step": 74500
},
{
"epoch": 0.67,
"learning_rate": 0.001,
"loss": 1.215,
"step": 75000
},
{
"epoch": 0.67,
"learning_rate": 0.001,
"loss": 1.2277,
"step": 75500
},
{
"epoch": 0.68,
"learning_rate": 0.001,
"loss": 1.2464,
"step": 76000
},
{
"epoch": 0.68,
"learning_rate": 0.001,
"loss": 1.2375,
"step": 76500
},
{
"epoch": 0.68,
"learning_rate": 0.001,
"loss": 1.2307,
"step": 77000
},
{
"epoch": 0.69,
"learning_rate": 0.001,
"loss": 1.2056,
"step": 77500
},
{
"epoch": 0.69,
"learning_rate": 0.001,
"loss": 1.2232,
"step": 78000
},
{
"epoch": 0.7,
"learning_rate": 0.001,
"loss": 1.2274,
"step": 78500
},
{
"epoch": 0.7,
"learning_rate": 0.001,
"loss": 1.2175,
"step": 79000
},
{
"epoch": 0.71,
"learning_rate": 0.001,
"loss": 1.2059,
"step": 79500
},
{
"epoch": 0.71,
"learning_rate": 0.001,
"loss": 1.2274,
"step": 80000
},
{
"epoch": 0.72,
"learning_rate": 0.001,
"loss": 1.2042,
"step": 80500
},
{
"epoch": 0.72,
"learning_rate": 0.001,
"loss": 1.221,
"step": 81000
},
{
"epoch": 0.72,
"learning_rate": 0.001,
"loss": 1.2163,
"step": 81500
},
{
"epoch": 0.73,
"learning_rate": 0.001,
"loss": 1.2295,
"step": 82000
},
{
"epoch": 0.73,
"learning_rate": 0.001,
"loss": 1.2114,
"step": 82500
},
{
"epoch": 0.74,
"learning_rate": 0.001,
"loss": 1.2228,
"step": 83000
},
{
"epoch": 0.74,
"learning_rate": 0.001,
"loss": 1.2094,
"step": 83500
},
{
"epoch": 0.75,
"learning_rate": 0.001,
"loss": 1.1924,
"step": 84000
},
{
"epoch": 0.75,
"learning_rate": 0.001,
"loss": 1.2422,
"step": 84500
},
{
"epoch": 0.76,
"learning_rate": 0.001,
"loss": 1.2321,
"step": 85000
},
{
"epoch": 0.76,
"learning_rate": 0.001,
"loss": 1.2157,
"step": 85500
},
{
"epoch": 0.76,
"learning_rate": 0.001,
"loss": 1.2033,
"step": 86000
},
{
"epoch": 0.77,
"learning_rate": 0.001,
"loss": 1.2134,
"step": 86500
},
{
"epoch": 0.77,
"learning_rate": 0.001,
"loss": 1.1787,
"step": 87000
},
{
"epoch": 0.78,
"learning_rate": 0.001,
"loss": 1.2102,
"step": 87500
},
{
"epoch": 0.78,
"learning_rate": 0.001,
"loss": 1.2061,
"step": 88000
},
{
"epoch": 0.79,
"learning_rate": 0.001,
"loss": 1.2195,
"step": 88500
},
{
"epoch": 0.79,
"learning_rate": 0.001,
"loss": 1.2125,
"step": 89000
},
{
"epoch": 0.8,
"learning_rate": 0.001,
"loss": 1.2188,
"step": 89500
},
{
"epoch": 0.8,
"learning_rate": 0.001,
"loss": 1.1938,
"step": 90000
},
{
"epoch": 0.8,
"learning_rate": 0.001,
"loss": 1.1988,
"step": 90500
},
{
"epoch": 0.81,
"learning_rate": 0.001,
"loss": 1.1952,
"step": 91000
},
{
"epoch": 0.81,
"learning_rate": 0.001,
"loss": 1.2115,
"step": 91500
},
{
"epoch": 0.82,
"learning_rate": 0.001,
"loss": 1.2101,
"step": 92000
},
{
"epoch": 0.82,
"learning_rate": 0.001,
"loss": 1.1925,
"step": 92500
},
{
"epoch": 0.83,
"learning_rate": 0.001,
"loss": 1.1897,
"step": 93000
},
{
"epoch": 0.83,
"learning_rate": 0.001,
"loss": 1.1962,
"step": 93500
},
{
"epoch": 0.84,
"learning_rate": 0.001,
"loss": 1.1838,
"step": 94000
},
{
"epoch": 0.84,
"learning_rate": 0.001,
"loss": 1.1766,
"step": 94500
},
{
"epoch": 0.84,
"learning_rate": 0.001,
"loss": 1.1399,
"step": 95000
},
{
"epoch": 0.85,
"learning_rate": 0.001,
"loss": 1.1644,
"step": 95500
},
{
"epoch": 0.85,
"learning_rate": 0.001,
"loss": 1.1878,
"step": 96000
},
{
"epoch": 0.86,
"learning_rate": 0.001,
"loss": 1.1957,
"step": 96500
},
{
"epoch": 0.86,
"learning_rate": 0.001,
"loss": 1.1802,
"step": 97000
},
{
"epoch": 0.87,
"learning_rate": 0.001,
"loss": 1.1685,
"step": 97500
},
{
"epoch": 0.87,
"learning_rate": 0.001,
"loss": 1.1803,
"step": 98000
},
{
"epoch": 0.88,
"learning_rate": 0.001,
"loss": 1.1914,
"step": 98500
},
{
"epoch": 0.88,
"learning_rate": 0.001,
"loss": 1.1811,
"step": 99000
},
{
"epoch": 0.88,
"learning_rate": 0.001,
"loss": 1.1798,
"step": 99500
},
{
"epoch": 0.89,
"learning_rate": 0.001,
"loss": 1.1686,
"step": 100000
},
{
"epoch": 0.89,
"learning_rate": 0.001,
"loss": 1.1655,
"step": 100500
},
{
"epoch": 0.9,
"learning_rate": 0.001,
"loss": 1.1653,
"step": 101000
},
{
"epoch": 0.9,
"learning_rate": 0.001,
"loss": 1.1826,
"step": 101500
},
{
"epoch": 0.91,
"learning_rate": 0.001,
"loss": 1.1657,
"step": 102000
},
{
"epoch": 0.91,
"learning_rate": 0.001,
"loss": 1.1515,
"step": 102500
},
{
"epoch": 0.92,
"learning_rate": 0.001,
"loss": 1.1611,
"step": 103000
},
{
"epoch": 0.92,
"learning_rate": 0.001,
"loss": 1.1718,
"step": 103500
},
{
"epoch": 0.92,
"learning_rate": 0.001,
"loss": 1.1719,
"step": 104000
},
{
"epoch": 0.93,
"learning_rate": 0.001,
"loss": 1.1583,
"step": 104500
},
{
"epoch": 0.93,
"learning_rate": 0.001,
"loss": 1.1698,
"step": 105000
},
{
"epoch": 0.94,
"learning_rate": 0.001,
"loss": 1.1643,
"step": 105500
},
{
"epoch": 0.94,
"learning_rate": 0.001,
"loss": 1.1648,
"step": 106000
},
{
"epoch": 0.95,
"learning_rate": 0.001,
"loss": 1.1458,
"step": 106500
},
{
"epoch": 0.95,
"learning_rate": 0.001,
"loss": 1.1485,
"step": 107000
},
{
"epoch": 0.96,
"learning_rate": 0.001,
"loss": 1.1641,
"step": 107500
},
{
"epoch": 0.96,
"learning_rate": 0.001,
"loss": 1.1567,
"step": 108000
},
{
"epoch": 0.96,
"learning_rate": 0.001,
"loss": 1.172,
"step": 108500
},
{
"epoch": 0.97,
"learning_rate": 0.001,
"loss": 1.1746,
"step": 109000
},
{
"epoch": 0.97,
"learning_rate": 0.001,
"loss": 1.1646,
"step": 109500
},
{
"epoch": 0.98,
"learning_rate": 0.001,
"loss": 1.14,
"step": 110000
},
{
"epoch": 0.98,
"learning_rate": 0.001,
"loss": 1.1533,
"step": 110500
},
{
"epoch": 0.99,
"learning_rate": 0.001,
"loss": 1.1541,
"step": 111000
},
{
"epoch": 0.99,
"learning_rate": 0.001,
"loss": 1.1381,
"step": 111500
},
{
"epoch": 1.0,
"learning_rate": 0.001,
"loss": 1.1591,
"step": 112000
},
{
"epoch": 1.0,
"learning_rate": 0.001,
"loss": 1.1502,
"step": 112500
},
{
"epoch": 1.0,
"eval_bleu": 21.0872,
"eval_gen_len": 12.0896,
"eval_loss": 1.478177785873413,
"eval_runtime": 1045.1107,
"eval_samples_per_second": 13.396,
"step": 112500
},
{
"epoch": 1.0,
"learning_rate": 0.001,
"loss": 1.0899,
"step": 113000
},
{
"epoch": 1.01,
"learning_rate": 0.001,
"loss": 1.0716,
"step": 113500
},
{
"epoch": 1.01,
"learning_rate": 0.001,
"loss": 1.1085,
"step": 114000
},
{
"epoch": 1.02,
"learning_rate": 0.001,
"loss": 1.0761,
"step": 114500
},
{
"epoch": 1.02,
"learning_rate": 0.001,
"loss": 1.0929,
"step": 115000
},
{
"epoch": 1.03,
"learning_rate": 0.001,
"loss": 1.0829,
"step": 115500
},
{
"epoch": 1.03,
"learning_rate": 0.001,
"loss": 1.0996,
"step": 116000
},
{
"epoch": 1.04,
"learning_rate": 0.001,
"loss": 1.092,
"step": 116500
},
{
"epoch": 1.04,
"learning_rate": 0.001,
"loss": 1.0791,
"step": 117000
},
{
"epoch": 1.04,
"learning_rate": 0.001,
"loss": 1.0793,
"step": 117500
},
{
"epoch": 1.05,
"learning_rate": 0.001,
"loss": 1.0768,
"step": 118000
},
{
"epoch": 1.05,
"learning_rate": 0.001,
"loss": 1.1088,
"step": 118500
},
{
"epoch": 1.06,
"learning_rate": 0.001,
"loss": 1.1054,
"step": 119000
},
{
"epoch": 1.06,
"learning_rate": 0.001,
"loss": 1.0745,
"step": 119500
},
{
"epoch": 1.07,
"learning_rate": 0.001,
"loss": 1.0851,
"step": 120000
},
{
"epoch": 1.07,
"learning_rate": 0.001,
"loss": 1.0762,
"step": 120500
},
{
"epoch": 1.08,
"learning_rate": 0.001,
"loss": 1.0778,
"step": 121000
},
{
"epoch": 1.08,
"learning_rate": 0.001,
"loss": 1.1035,
"step": 121500
},
{
"epoch": 1.08,
"learning_rate": 0.001,
"loss": 1.0813,
"step": 122000
},
{
"epoch": 1.09,
"learning_rate": 0.001,
"loss": 1.0853,
"step": 122500
},
{
"epoch": 1.09,
"learning_rate": 0.001,
"loss": 1.0712,
"step": 123000
},
{
"epoch": 1.1,
"learning_rate": 0.001,
"loss": 1.0729,
"step": 123500
},
{
"epoch": 1.1,
"learning_rate": 0.001,
"loss": 1.0839,
"step": 124000
},
{
"epoch": 1.11,
"learning_rate": 0.001,
"loss": 1.0812,
"step": 124500
},
{
"epoch": 1.11,
"learning_rate": 0.001,
"loss": 1.0811,
"step": 125000
},
{
"epoch": 1.12,
"learning_rate": 0.001,
"loss": 1.0886,
"step": 125500
},
{
"epoch": 1.12,
"learning_rate": 0.001,
"loss": 1.074,
"step": 126000
},
{
"epoch": 1.12,
"learning_rate": 0.001,
"loss": 1.0828,
"step": 126500
},
{
"epoch": 1.13,
"learning_rate": 0.001,
"loss": 1.0771,
"step": 127000
},
{
"epoch": 1.13,
"learning_rate": 0.001,
"loss": 1.0851,
"step": 127500
},
{
"epoch": 1.14,
"learning_rate": 0.001,
"loss": 1.075,
"step": 128000
},
{
"epoch": 1.14,
"learning_rate": 0.001,
"loss": 1.0858,
"step": 128500
},
{
"epoch": 1.15,
"learning_rate": 0.001,
"loss": 1.0899,
"step": 129000
},
{
"epoch": 1.15,
"learning_rate": 0.001,
"loss": 1.0967,
"step": 129500
},
{
"epoch": 1.16,
"learning_rate": 0.001,
"loss": 1.0951,
"step": 130000
},
{
"epoch": 1.16,
"learning_rate": 0.001,
"loss": 1.078,
"step": 130500
},
{
"epoch": 1.16,
"learning_rate": 0.001,
"loss": 1.0671,
"step": 131000
},
{
"epoch": 1.17,
"learning_rate": 0.001,
"loss": 1.0718,
"step": 131500
},
{
"epoch": 1.17,
"learning_rate": 0.001,
"loss": 1.0791,
"step": 132000
},
{
"epoch": 1.18,
"learning_rate": 0.001,
"loss": 1.1058,
"step": 132500
},
{
"epoch": 1.18,
"learning_rate": 0.001,
"loss": 1.0814,
"step": 133000
},
{
"epoch": 1.19,
"learning_rate": 0.001,
"loss": 1.0855,
"step": 133500
},
{
"epoch": 1.19,
"learning_rate": 0.001,
"loss": 1.0707,
"step": 134000
},
{
"epoch": 1.2,
"learning_rate": 0.001,
"loss": 1.0674,
"step": 134500
},
{
"epoch": 1.2,
"learning_rate": 0.001,
"loss": 1.0774,
"step": 135000
},
{
"epoch": 1.2,
"learning_rate": 0.001,
"loss": 1.0722,
"step": 135500
},
{
"epoch": 1.21,
"learning_rate": 0.001,
"loss": 1.0868,
"step": 136000
},
{
"epoch": 1.21,
"learning_rate": 0.001,
"loss": 1.0684,
"step": 136500
},
{
"epoch": 1.22,
"learning_rate": 0.001,
"loss": 1.0647,
"step": 137000
},
{
"epoch": 1.22,
"learning_rate": 0.001,
"loss": 1.0845,
"step": 137500
},
{
"epoch": 1.23,
"learning_rate": 0.001,
"loss": 1.0857,
"step": 138000
},
{
"epoch": 1.23,
"learning_rate": 0.001,
"loss": 1.0744,
"step": 138500
},
{
"epoch": 1.24,
"learning_rate": 0.001,
"loss": 1.0747,
"step": 139000
},
{
"epoch": 1.24,
"learning_rate": 0.001,
"loss": 1.0628,
"step": 139500
},
{
"epoch": 1.24,
"learning_rate": 0.001,
"loss": 1.0822,
"step": 140000
},
{
"epoch": 1.25,
"learning_rate": 0.001,
"loss": 1.0917,
"step": 140500
},
{
"epoch": 1.25,
"learning_rate": 0.001,
"loss": 1.0739,
"step": 141000
},
{
"epoch": 1.26,
"learning_rate": 0.001,
"loss": 1.0694,
"step": 141500
},
{
"epoch": 1.26,
"learning_rate": 0.001,
"loss": 1.0741,
"step": 142000
},
{
"epoch": 1.27,
"learning_rate": 0.001,
"loss": 1.0517,
"step": 142500
},
{
"epoch": 1.27,
"learning_rate": 0.001,
"loss": 1.0878,
"step": 143000
},
{
"epoch": 1.28,
"learning_rate": 0.001,
"loss": 1.0591,
"step": 143500
},
{
"epoch": 1.28,
"learning_rate": 0.001,
"loss": 1.0717,
"step": 144000
},
{
"epoch": 1.28,
"learning_rate": 0.001,
"loss": 1.0816,
"step": 144500
},
{
"epoch": 1.29,
"learning_rate": 0.001,
"loss": 1.0582,
"step": 145000
},
{
"epoch": 1.29,
"learning_rate": 0.001,
"loss": 1.085,
"step": 145500
},
{
"epoch": 1.3,
"learning_rate": 0.001,
"loss": 1.0552,
"step": 146000
},
{
"epoch": 1.3,
"learning_rate": 0.001,
"loss": 1.0776,
"step": 146500
},
{
"epoch": 1.31,
"learning_rate": 0.001,
"loss": 1.0493,
"step": 147000
},
{
"epoch": 1.31,
"learning_rate": 0.001,
"loss": 1.0676,
"step": 147500
},
{
"epoch": 1.32,
"learning_rate": 0.001,
"loss": 1.0601,
"step": 148000
},
{
"epoch": 1.32,
"learning_rate": 0.001,
"loss": 1.0706,
"step": 148500
},
{
"epoch": 1.32,
"learning_rate": 0.001,
"loss": 1.0853,
"step": 149000
},
{
"epoch": 1.33,
"learning_rate": 0.001,
"loss": 1.0588,
"step": 149500
},
{
"epoch": 1.33,
"learning_rate": 0.001,
"loss": 1.0589,
"step": 150000
},
{
"epoch": 1.34,
"learning_rate": 0.001,
"loss": 1.0705,
"step": 150500
},
{
"epoch": 1.34,
"learning_rate": 0.001,
"loss": 1.0749,
"step": 151000
},
{
"epoch": 1.35,
"learning_rate": 0.001,
"loss": 1.0705,
"step": 151500
},
{
"epoch": 1.35,
"learning_rate": 0.001,
"loss": 1.0652,
"step": 152000
},
{
"epoch": 1.36,
"learning_rate": 0.001,
"loss": 1.063,
"step": 152500
},
{
"epoch": 1.36,
"learning_rate": 0.001,
"loss": 1.0551,
"step": 153000
},
{
"epoch": 1.36,
"learning_rate": 0.001,
"loss": 1.0437,
"step": 153500
},
{
"epoch": 1.37,
"learning_rate": 0.001,
"loss": 1.0278,
"step": 154000
},
{
"epoch": 1.37,
"learning_rate": 0.001,
"loss": 1.0439,
"step": 154500
},
{
"epoch": 1.38,
"learning_rate": 0.001,
"loss": 1.0619,
"step": 155000
},
{
"epoch": 1.38,
"learning_rate": 0.001,
"loss": 1.0382,
"step": 155500
},
{
"epoch": 1.39,
"learning_rate": 0.001,
"loss": 1.0643,
"step": 156000
},
{
"epoch": 1.39,
"learning_rate": 0.001,
"loss": 1.0583,
"step": 156500
},
{
"epoch": 1.4,
"learning_rate": 0.001,
"loss": 1.0651,
"step": 157000
},
{
"epoch": 1.4,
"learning_rate": 0.001,
"loss": 1.06,
"step": 157500
},
{
"epoch": 1.4,
"learning_rate": 0.001,
"loss": 1.0591,
"step": 158000
},
{
"epoch": 1.41,
"learning_rate": 0.001,
"loss": 1.0718,
"step": 158500
},
{
"epoch": 1.41,
"learning_rate": 0.001,
"loss": 1.0671,
"step": 159000
},
{
"epoch": 1.42,
"learning_rate": 0.001,
"loss": 1.0517,
"step": 159500
},
{
"epoch": 1.42,
"learning_rate": 0.001,
"loss": 1.0578,
"step": 160000
},
{
"epoch": 1.43,
"learning_rate": 0.001,
"loss": 1.0761,
"step": 160500
},
{
"epoch": 1.43,
"learning_rate": 0.001,
"loss": 1.0234,
"step": 161000
},
{
"epoch": 1.44,
"learning_rate": 0.001,
"loss": 1.047,
"step": 161500
},
{
"epoch": 1.44,
"learning_rate": 0.001,
"loss": 1.0539,
"step": 162000
},
{
"epoch": 1.44,
"learning_rate": 0.001,
"loss": 1.0642,
"step": 162500
},
{
"epoch": 1.45,
"learning_rate": 0.001,
"loss": 1.0563,
"step": 163000
},
{
"epoch": 1.45,
"learning_rate": 0.001,
"loss": 1.0507,
"step": 163500
},
{
"epoch": 1.46,
"learning_rate": 0.001,
"loss": 1.0556,
"step": 164000
},
{
"epoch": 1.46,
"learning_rate": 0.001,
"loss": 1.0525,
"step": 164500
},
{
"epoch": 1.47,
"learning_rate": 0.001,
"loss": 1.0422,
"step": 165000
},
{
"epoch": 1.47,
"learning_rate": 0.001,
"loss": 1.0455,
"step": 165500
},
{
"epoch": 1.48,
"learning_rate": 0.001,
"loss": 1.04,
"step": 166000
},
{
"epoch": 1.48,
"learning_rate": 0.001,
"loss": 1.0365,
"step": 166500
},
{
"epoch": 1.48,
"learning_rate": 0.001,
"loss": 1.0379,
"step": 167000
},
{
"epoch": 1.49,
"learning_rate": 0.001,
"loss": 1.0655,
"step": 167500
},
{
"epoch": 1.49,
"learning_rate": 0.001,
"loss": 1.0412,
"step": 168000
},
{
"epoch": 1.5,
"learning_rate": 0.001,
"loss": 1.0677,
"step": 168500
},
{
"epoch": 1.5,
"learning_rate": 0.001,
"loss": 1.0596,
"step": 169000
},
{
"epoch": 1.51,
"learning_rate": 0.001,
"loss": 1.0531,
"step": 169500
},
{
"epoch": 1.51,
"learning_rate": 0.001,
"loss": 1.0193,
"step": 170000
},
{
"epoch": 1.52,
"learning_rate": 0.001,
"loss": 1.0533,
"step": 170500
},
{
"epoch": 1.52,
"learning_rate": 0.001,
"loss": 1.033,
"step": 171000
},
{
"epoch": 1.52,
"learning_rate": 0.001,
"loss": 1.0497,
"step": 171500
},
{
"epoch": 1.53,
"learning_rate": 0.001,
"loss": 1.0361,
"step": 172000
},
{
"epoch": 1.53,
"learning_rate": 0.001,
"loss": 1.033,
"step": 172500
},
{
"epoch": 1.54,
"learning_rate": 0.001,
"loss": 1.0578,
"step": 173000
},
{
"epoch": 1.54,
"learning_rate": 0.001,
"loss": 1.0392,
"step": 173500
},
{
"epoch": 1.55,
"learning_rate": 0.001,
"loss": 1.0427,
"step": 174000
}
],
"max_steps": 337500,
"num_train_epochs": 3,
"total_flos": 819679556720640.0,
"trial_name": null,
"trial_params": null
}