hibial-bert-i3-mlm2 / trainer_state.json
igorktech's picture
End of training
94b8801
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 3.0993816733561657,
"global_step": 50000,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 4e-06,
"loss": 10.195,
"step": 100
},
{
"epoch": 0.01,
"learning_rate": 8e-06,
"loss": 8.4977,
"step": 200
},
{
"epoch": 0.02,
"learning_rate": 1.2e-05,
"loss": 7.7115,
"step": 300
},
{
"epoch": 0.02,
"learning_rate": 1.6e-05,
"loss": 7.0073,
"step": 400
},
{
"epoch": 0.03,
"learning_rate": 2e-05,
"loss": 6.386,
"step": 500
},
{
"epoch": 0.04,
"learning_rate": 2.4e-05,
"loss": 5.9934,
"step": 600
},
{
"epoch": 0.04,
"learning_rate": 2.8e-05,
"loss": 5.7449,
"step": 700
},
{
"epoch": 0.05,
"learning_rate": 3.2e-05,
"loss": 5.5865,
"step": 800
},
{
"epoch": 0.06,
"learning_rate": 3.6e-05,
"loss": 5.4709,
"step": 900
},
{
"epoch": 0.06,
"learning_rate": 4e-05,
"loss": 5.3401,
"step": 1000
},
{
"epoch": 0.07,
"learning_rate": 4.4e-05,
"loss": 5.2552,
"step": 1100
},
{
"epoch": 0.07,
"learning_rate": 4.8e-05,
"loss": 5.165,
"step": 1200
},
{
"epoch": 0.08,
"learning_rate": 5.2e-05,
"loss": 5.0858,
"step": 1300
},
{
"epoch": 0.09,
"learning_rate": 5.6e-05,
"loss": 4.9837,
"step": 1400
},
{
"epoch": 0.09,
"learning_rate": 6e-05,
"loss": 4.9136,
"step": 1500
},
{
"epoch": 0.1,
"learning_rate": 6.4e-05,
"loss": 4.8214,
"step": 1600
},
{
"epoch": 0.11,
"learning_rate": 6.800000000000001e-05,
"loss": 4.7654,
"step": 1700
},
{
"epoch": 0.11,
"learning_rate": 7.2e-05,
"loss": 4.693,
"step": 1800
},
{
"epoch": 0.12,
"learning_rate": 7.6e-05,
"loss": 4.6122,
"step": 1900
},
{
"epoch": 0.12,
"learning_rate": 8e-05,
"loss": 4.5828,
"step": 2000
},
{
"epoch": 0.13,
"learning_rate": 8.400000000000001e-05,
"loss": 4.5066,
"step": 2100
},
{
"epoch": 0.14,
"learning_rate": 8.8e-05,
"loss": 4.4385,
"step": 2200
},
{
"epoch": 0.14,
"learning_rate": 9.2e-05,
"loss": 4.4198,
"step": 2300
},
{
"epoch": 0.15,
"learning_rate": 9.6e-05,
"loss": 4.3611,
"step": 2400
},
{
"epoch": 0.15,
"learning_rate": 0.0001,
"loss": 4.3158,
"step": 2500
},
{
"epoch": 0.16,
"learning_rate": 0.000104,
"loss": 4.2597,
"step": 2600
},
{
"epoch": 0.17,
"learning_rate": 0.000108,
"loss": 4.2201,
"step": 2700
},
{
"epoch": 0.17,
"learning_rate": 0.000112,
"loss": 4.1731,
"step": 2800
},
{
"epoch": 0.18,
"learning_rate": 0.00011600000000000001,
"loss": 4.1267,
"step": 2900
},
{
"epoch": 0.19,
"learning_rate": 0.00012,
"loss": 4.0979,
"step": 3000
},
{
"epoch": 0.19,
"learning_rate": 0.000124,
"loss": 4.0423,
"step": 3100
},
{
"epoch": 0.2,
"learning_rate": 0.000128,
"loss": 4.0117,
"step": 3200
},
{
"epoch": 0.2,
"learning_rate": 0.000132,
"loss": 3.9583,
"step": 3300
},
{
"epoch": 0.21,
"learning_rate": 0.00013600000000000003,
"loss": 3.9295,
"step": 3400
},
{
"epoch": 0.22,
"learning_rate": 0.00014000000000000001,
"loss": 3.898,
"step": 3500
},
{
"epoch": 0.22,
"learning_rate": 0.000144,
"loss": 3.8391,
"step": 3600
},
{
"epoch": 0.23,
"learning_rate": 0.000148,
"loss": 3.8254,
"step": 3700
},
{
"epoch": 0.24,
"learning_rate": 0.000152,
"loss": 3.784,
"step": 3800
},
{
"epoch": 0.24,
"learning_rate": 0.000156,
"loss": 3.7579,
"step": 3900
},
{
"epoch": 0.25,
"learning_rate": 0.00016,
"loss": 3.7455,
"step": 4000
},
{
"epoch": 0.25,
"learning_rate": 0.000164,
"loss": 3.6903,
"step": 4100
},
{
"epoch": 0.26,
"learning_rate": 0.00016800000000000002,
"loss": 3.6621,
"step": 4200
},
{
"epoch": 0.27,
"learning_rate": 0.00017199999999999998,
"loss": 3.6469,
"step": 4300
},
{
"epoch": 0.27,
"learning_rate": 0.000176,
"loss": 3.6307,
"step": 4400
},
{
"epoch": 0.28,
"learning_rate": 0.00017999999999999998,
"loss": 3.5867,
"step": 4500
},
{
"epoch": 0.29,
"learning_rate": 0.000184,
"loss": 3.5759,
"step": 4600
},
{
"epoch": 0.29,
"learning_rate": 0.00018800000000000002,
"loss": 3.5661,
"step": 4700
},
{
"epoch": 0.3,
"learning_rate": 0.000192,
"loss": 3.5462,
"step": 4800
},
{
"epoch": 0.3,
"learning_rate": 0.00019600000000000002,
"loss": 3.5015,
"step": 4900
},
{
"epoch": 0.31,
"learning_rate": 0.0002,
"loss": 3.4948,
"step": 5000
},
{
"epoch": 0.32,
"learning_rate": 0.000204,
"loss": 3.4657,
"step": 5100
},
{
"epoch": 0.32,
"learning_rate": 0.000208,
"loss": 3.4767,
"step": 5200
},
{
"epoch": 0.33,
"learning_rate": 0.000212,
"loss": 3.436,
"step": 5300
},
{
"epoch": 0.33,
"learning_rate": 0.000216,
"loss": 3.4037,
"step": 5400
},
{
"epoch": 0.34,
"learning_rate": 0.00022,
"loss": 3.3969,
"step": 5500
},
{
"epoch": 0.35,
"learning_rate": 0.000224,
"loss": 3.3928,
"step": 5600
},
{
"epoch": 0.35,
"learning_rate": 0.000228,
"loss": 3.37,
"step": 5700
},
{
"epoch": 0.36,
"learning_rate": 0.00023200000000000003,
"loss": 3.3616,
"step": 5800
},
{
"epoch": 0.37,
"learning_rate": 0.000236,
"loss": 3.3497,
"step": 5900
},
{
"epoch": 0.37,
"learning_rate": 0.00024,
"loss": 3.3297,
"step": 6000
},
{
"epoch": 0.38,
"learning_rate": 0.000244,
"loss": 3.3118,
"step": 6100
},
{
"epoch": 0.38,
"learning_rate": 0.000248,
"loss": 3.3046,
"step": 6200
},
{
"epoch": 0.39,
"learning_rate": 0.000252,
"loss": 3.2869,
"step": 6300
},
{
"epoch": 0.4,
"learning_rate": 0.000256,
"loss": 3.2808,
"step": 6400
},
{
"epoch": 0.4,
"learning_rate": 0.00026000000000000003,
"loss": 3.258,
"step": 6500
},
{
"epoch": 0.41,
"learning_rate": 0.000264,
"loss": 3.2364,
"step": 6600
},
{
"epoch": 0.42,
"learning_rate": 0.000268,
"loss": 3.2288,
"step": 6700
},
{
"epoch": 0.42,
"learning_rate": 0.00027200000000000005,
"loss": 3.2161,
"step": 6800
},
{
"epoch": 0.43,
"learning_rate": 0.00027600000000000004,
"loss": 3.2074,
"step": 6900
},
{
"epoch": 0.43,
"learning_rate": 0.00028000000000000003,
"loss": 3.197,
"step": 7000
},
{
"epoch": 0.44,
"learning_rate": 0.00028399999999999996,
"loss": 3.1904,
"step": 7100
},
{
"epoch": 0.45,
"learning_rate": 0.000288,
"loss": 3.1833,
"step": 7200
},
{
"epoch": 0.45,
"learning_rate": 0.000292,
"loss": 3.176,
"step": 7300
},
{
"epoch": 0.46,
"learning_rate": 0.000296,
"loss": 3.1737,
"step": 7400
},
{
"epoch": 0.46,
"learning_rate": 0.0003,
"loss": 3.1608,
"step": 7500
},
{
"epoch": 0.47,
"learning_rate": 0.000304,
"loss": 3.1385,
"step": 7600
},
{
"epoch": 0.48,
"learning_rate": 0.000308,
"loss": 3.1352,
"step": 7700
},
{
"epoch": 0.48,
"learning_rate": 0.000312,
"loss": 3.1349,
"step": 7800
},
{
"epoch": 0.49,
"learning_rate": 0.000316,
"loss": 3.1161,
"step": 7900
},
{
"epoch": 0.5,
"learning_rate": 0.00032,
"loss": 3.1061,
"step": 8000
},
{
"epoch": 0.5,
"learning_rate": 0.000324,
"loss": 3.1074,
"step": 8100
},
{
"epoch": 0.51,
"learning_rate": 0.000328,
"loss": 3.0859,
"step": 8200
},
{
"epoch": 0.51,
"learning_rate": 0.00033200000000000005,
"loss": 3.0818,
"step": 8300
},
{
"epoch": 0.52,
"learning_rate": 0.00033600000000000004,
"loss": 3.0857,
"step": 8400
},
{
"epoch": 0.53,
"learning_rate": 0.00034,
"loss": 3.0687,
"step": 8500
},
{
"epoch": 0.53,
"learning_rate": 0.00034399999999999996,
"loss": 3.0619,
"step": 8600
},
{
"epoch": 0.54,
"learning_rate": 0.000348,
"loss": 3.0348,
"step": 8700
},
{
"epoch": 0.55,
"learning_rate": 0.000352,
"loss": 3.0381,
"step": 8800
},
{
"epoch": 0.55,
"learning_rate": 0.000356,
"loss": 3.0196,
"step": 8900
},
{
"epoch": 0.56,
"learning_rate": 0.00035999999999999997,
"loss": 3.0301,
"step": 9000
},
{
"epoch": 0.56,
"learning_rate": 0.000364,
"loss": 3.0148,
"step": 9100
},
{
"epoch": 0.57,
"learning_rate": 0.000368,
"loss": 3.0309,
"step": 9200
},
{
"epoch": 0.58,
"learning_rate": 0.000372,
"loss": 3.0174,
"step": 9300
},
{
"epoch": 0.58,
"learning_rate": 0.00037600000000000003,
"loss": 3.0017,
"step": 9400
},
{
"epoch": 0.59,
"learning_rate": 0.00038,
"loss": 2.9999,
"step": 9500
},
{
"epoch": 0.6,
"learning_rate": 0.000384,
"loss": 2.9966,
"step": 9600
},
{
"epoch": 0.6,
"learning_rate": 0.000388,
"loss": 2.9843,
"step": 9700
},
{
"epoch": 0.61,
"learning_rate": 0.00039200000000000004,
"loss": 2.9854,
"step": 9800
},
{
"epoch": 0.61,
"learning_rate": 0.00039600000000000003,
"loss": 2.9827,
"step": 9900
},
{
"epoch": 0.62,
"learning_rate": 0.0004,
"loss": 2.965,
"step": 10000
},
{
"epoch": 0.63,
"learning_rate": 0.000404,
"loss": 2.9811,
"step": 10100
},
{
"epoch": 0.63,
"learning_rate": 0.000408,
"loss": 2.9534,
"step": 10200
},
{
"epoch": 0.64,
"learning_rate": 0.000412,
"loss": 2.9656,
"step": 10300
},
{
"epoch": 0.64,
"learning_rate": 0.000416,
"loss": 2.9361,
"step": 10400
},
{
"epoch": 0.65,
"learning_rate": 0.00042,
"loss": 2.9461,
"step": 10500
},
{
"epoch": 0.66,
"learning_rate": 0.000424,
"loss": 2.9473,
"step": 10600
},
{
"epoch": 0.66,
"learning_rate": 0.000428,
"loss": 2.9238,
"step": 10700
},
{
"epoch": 0.67,
"learning_rate": 0.000432,
"loss": 2.9323,
"step": 10800
},
{
"epoch": 0.68,
"learning_rate": 0.000436,
"loss": 2.9481,
"step": 10900
},
{
"epoch": 0.68,
"learning_rate": 0.00044,
"loss": 2.9187,
"step": 11000
},
{
"epoch": 0.69,
"learning_rate": 0.000444,
"loss": 2.9166,
"step": 11100
},
{
"epoch": 0.69,
"learning_rate": 0.000448,
"loss": 2.9183,
"step": 11200
},
{
"epoch": 0.7,
"learning_rate": 0.00045200000000000004,
"loss": 2.9118,
"step": 11300
},
{
"epoch": 0.71,
"learning_rate": 0.000456,
"loss": 2.9008,
"step": 11400
},
{
"epoch": 0.71,
"learning_rate": 0.00046,
"loss": 2.8965,
"step": 11500
},
{
"epoch": 0.72,
"learning_rate": 0.00046400000000000006,
"loss": 2.8985,
"step": 11600
},
{
"epoch": 0.73,
"learning_rate": 0.00046800000000000005,
"loss": 2.9029,
"step": 11700
},
{
"epoch": 0.73,
"learning_rate": 0.000472,
"loss": 2.8906,
"step": 11800
},
{
"epoch": 0.74,
"learning_rate": 0.00047599999999999997,
"loss": 2.9007,
"step": 11900
},
{
"epoch": 0.74,
"learning_rate": 0.00048,
"loss": 2.8885,
"step": 12000
},
{
"epoch": 0.75,
"learning_rate": 0.000484,
"loss": 2.8926,
"step": 12100
},
{
"epoch": 0.76,
"learning_rate": 0.000488,
"loss": 2.8688,
"step": 12200
},
{
"epoch": 0.76,
"learning_rate": 0.000492,
"loss": 2.8697,
"step": 12300
},
{
"epoch": 0.77,
"learning_rate": 0.000496,
"loss": 2.8661,
"step": 12400
},
{
"epoch": 0.77,
"learning_rate": 0.0005,
"loss": 2.8604,
"step": 12500
},
{
"epoch": 0.78,
"learning_rate": 0.000504,
"loss": 2.8673,
"step": 12600
},
{
"epoch": 0.79,
"learning_rate": 0.000508,
"loss": 2.8675,
"step": 12700
},
{
"epoch": 0.79,
"learning_rate": 0.000512,
"loss": 2.8707,
"step": 12800
},
{
"epoch": 0.8,
"learning_rate": 0.0005160000000000001,
"loss": 2.8666,
"step": 12900
},
{
"epoch": 0.81,
"learning_rate": 0.0005200000000000001,
"loss": 2.85,
"step": 13000
},
{
"epoch": 0.81,
"learning_rate": 0.000524,
"loss": 2.8556,
"step": 13100
},
{
"epoch": 0.82,
"learning_rate": 0.000528,
"loss": 2.8575,
"step": 13200
},
{
"epoch": 0.82,
"learning_rate": 0.000532,
"loss": 2.8361,
"step": 13300
},
{
"epoch": 0.83,
"learning_rate": 0.000536,
"loss": 2.8411,
"step": 13400
},
{
"epoch": 0.84,
"learning_rate": 0.00054,
"loss": 2.8409,
"step": 13500
},
{
"epoch": 0.84,
"learning_rate": 0.0005440000000000001,
"loss": 2.8363,
"step": 13600
},
{
"epoch": 0.85,
"learning_rate": 0.0005480000000000001,
"loss": 2.8257,
"step": 13700
},
{
"epoch": 0.86,
"learning_rate": 0.0005520000000000001,
"loss": 2.8399,
"step": 13800
},
{
"epoch": 0.86,
"learning_rate": 0.0005560000000000001,
"loss": 2.8253,
"step": 13900
},
{
"epoch": 0.87,
"learning_rate": 0.0005600000000000001,
"loss": 2.8277,
"step": 14000
},
{
"epoch": 0.87,
"learning_rate": 0.0005639999999999999,
"loss": 2.834,
"step": 14100
},
{
"epoch": 0.88,
"learning_rate": 0.0005679999999999999,
"loss": 2.831,
"step": 14200
},
{
"epoch": 0.89,
"learning_rate": 0.0005719999999999999,
"loss": 2.8291,
"step": 14300
},
{
"epoch": 0.89,
"learning_rate": 0.000576,
"loss": 2.8085,
"step": 14400
},
{
"epoch": 0.9,
"learning_rate": 0.00058,
"loss": 2.8219,
"step": 14500
},
{
"epoch": 0.91,
"learning_rate": 0.000584,
"loss": 2.7945,
"step": 14600
},
{
"epoch": 0.91,
"learning_rate": 0.000588,
"loss": 2.8197,
"step": 14700
},
{
"epoch": 0.92,
"learning_rate": 0.000592,
"loss": 2.8132,
"step": 14800
},
{
"epoch": 0.92,
"learning_rate": 0.000596,
"loss": 2.8157,
"step": 14900
},
{
"epoch": 0.93,
"learning_rate": 0.0006,
"loss": 2.8101,
"step": 15000
},
{
"epoch": 0.94,
"learning_rate": 0.000604,
"loss": 2.8123,
"step": 15100
},
{
"epoch": 0.94,
"learning_rate": 0.000608,
"loss": 2.8017,
"step": 15200
},
{
"epoch": 0.95,
"learning_rate": 0.000612,
"loss": 2.8047,
"step": 15300
},
{
"epoch": 0.95,
"learning_rate": 0.000616,
"loss": 2.8224,
"step": 15400
},
{
"epoch": 0.96,
"learning_rate": 0.00062,
"loss": 2.8159,
"step": 15500
},
{
"epoch": 0.97,
"learning_rate": 0.000624,
"loss": 2.8053,
"step": 15600
},
{
"epoch": 0.97,
"learning_rate": 0.000628,
"loss": 2.8039,
"step": 15700
},
{
"epoch": 0.98,
"learning_rate": 0.000632,
"loss": 2.7909,
"step": 15800
},
{
"epoch": 0.99,
"learning_rate": 0.0006360000000000001,
"loss": 2.8059,
"step": 15900
},
{
"epoch": 0.99,
"learning_rate": 0.00064,
"loss": 2.8008,
"step": 16000
},
{
"epoch": 1.0,
"learning_rate": 0.000644,
"loss": 2.8071,
"step": 16100
},
{
"epoch": 1.0,
"learning_rate": 0.000648,
"loss": 2.7936,
"step": 16200
},
{
"epoch": 1.01,
"learning_rate": 0.000652,
"loss": 2.7817,
"step": 16300
},
{
"epoch": 1.02,
"learning_rate": 0.000656,
"loss": 2.8028,
"step": 16400
},
{
"epoch": 1.02,
"learning_rate": 0.00066,
"loss": 2.7742,
"step": 16500
},
{
"epoch": 1.03,
"learning_rate": 0.0006640000000000001,
"loss": 2.7892,
"step": 16600
},
{
"epoch": 1.04,
"learning_rate": 0.0006680000000000001,
"loss": 2.7957,
"step": 16700
},
{
"epoch": 1.04,
"learning_rate": 0.0006720000000000001,
"loss": 2.7993,
"step": 16800
},
{
"epoch": 1.05,
"learning_rate": 0.0006760000000000001,
"loss": 2.7669,
"step": 16900
},
{
"epoch": 1.05,
"learning_rate": 0.00068,
"loss": 2.7788,
"step": 17000
},
{
"epoch": 1.06,
"learning_rate": 0.000684,
"loss": 2.7812,
"step": 17100
},
{
"epoch": 1.07,
"learning_rate": 0.0006879999999999999,
"loss": 2.7659,
"step": 17200
},
{
"epoch": 1.07,
"learning_rate": 0.000692,
"loss": 2.7729,
"step": 17300
},
{
"epoch": 1.08,
"learning_rate": 0.000696,
"loss": 2.7875,
"step": 17400
},
{
"epoch": 1.08,
"learning_rate": 0.0007,
"loss": 2.7876,
"step": 17500
},
{
"epoch": 1.09,
"learning_rate": 0.000704,
"loss": 2.7802,
"step": 17600
},
{
"epoch": 1.1,
"learning_rate": 0.000708,
"loss": 2.7826,
"step": 17700
},
{
"epoch": 1.1,
"learning_rate": 0.000712,
"loss": 2.7742,
"step": 17800
},
{
"epoch": 1.11,
"learning_rate": 0.000716,
"loss": 2.7578,
"step": 17900
},
{
"epoch": 1.12,
"learning_rate": 0.0007199999999999999,
"loss": 2.7884,
"step": 18000
},
{
"epoch": 1.12,
"learning_rate": 0.000724,
"loss": 2.7712,
"step": 18100
},
{
"epoch": 1.13,
"learning_rate": 0.000728,
"loss": 2.7708,
"step": 18200
},
{
"epoch": 1.13,
"learning_rate": 0.000732,
"loss": 2.771,
"step": 18300
},
{
"epoch": 1.14,
"learning_rate": 0.000736,
"loss": 2.7691,
"step": 18400
},
{
"epoch": 1.15,
"learning_rate": 0.00074,
"loss": 2.7716,
"step": 18500
},
{
"epoch": 1.15,
"learning_rate": 0.000744,
"loss": 2.7658,
"step": 18600
},
{
"epoch": 1.16,
"learning_rate": 0.000748,
"loss": 2.7614,
"step": 18700
},
{
"epoch": 1.17,
"learning_rate": 0.0007520000000000001,
"loss": 2.7769,
"step": 18800
},
{
"epoch": 1.17,
"learning_rate": 0.000756,
"loss": 2.7717,
"step": 18900
},
{
"epoch": 1.18,
"learning_rate": 0.00076,
"loss": 2.7608,
"step": 19000
},
{
"epoch": 1.18,
"learning_rate": 0.000764,
"loss": 2.7644,
"step": 19100
},
{
"epoch": 1.19,
"learning_rate": 0.000768,
"loss": 2.7791,
"step": 19200
},
{
"epoch": 1.2,
"learning_rate": 0.000772,
"loss": 2.77,
"step": 19300
},
{
"epoch": 1.2,
"learning_rate": 0.000776,
"loss": 2.7608,
"step": 19400
},
{
"epoch": 1.21,
"learning_rate": 0.0007800000000000001,
"loss": 2.7697,
"step": 19500
},
{
"epoch": 1.21,
"learning_rate": 0.0007840000000000001,
"loss": 2.7597,
"step": 19600
},
{
"epoch": 1.22,
"learning_rate": 0.0007880000000000001,
"loss": 2.7686,
"step": 19700
},
{
"epoch": 1.23,
"learning_rate": 0.0007920000000000001,
"loss": 2.7595,
"step": 19800
},
{
"epoch": 1.23,
"learning_rate": 0.000796,
"loss": 2.745,
"step": 19900
},
{
"epoch": 1.24,
"learning_rate": 0.0008,
"loss": 2.7619,
"step": 20000
},
{
"epoch": 1.25,
"learning_rate": 0.000804,
"loss": 2.7535,
"step": 20100
},
{
"epoch": 1.25,
"learning_rate": 0.000808,
"loss": 2.7519,
"step": 20200
},
{
"epoch": 1.26,
"learning_rate": 0.0008120000000000001,
"loss": 2.7566,
"step": 20300
},
{
"epoch": 1.26,
"learning_rate": 0.000816,
"loss": 2.7683,
"step": 20400
},
{
"epoch": 1.27,
"learning_rate": 0.00082,
"loss": 2.7643,
"step": 20500
},
{
"epoch": 1.28,
"learning_rate": 0.000824,
"loss": 2.7591,
"step": 20600
},
{
"epoch": 1.28,
"learning_rate": 0.000828,
"loss": 2.7513,
"step": 20700
},
{
"epoch": 1.29,
"learning_rate": 0.000832,
"loss": 2.7585,
"step": 20800
},
{
"epoch": 1.3,
"learning_rate": 0.0008359999999999999,
"loss": 2.7608,
"step": 20900
},
{
"epoch": 1.3,
"learning_rate": 0.00084,
"loss": 2.7324,
"step": 21000
},
{
"epoch": 1.31,
"learning_rate": 0.000844,
"loss": 2.7575,
"step": 21100
},
{
"epoch": 1.31,
"learning_rate": 0.000848,
"loss": 2.7659,
"step": 21200
},
{
"epoch": 1.32,
"learning_rate": 0.000852,
"loss": 2.7628,
"step": 21300
},
{
"epoch": 1.33,
"learning_rate": 0.000856,
"loss": 2.7476,
"step": 21400
},
{
"epoch": 1.33,
"learning_rate": 0.00086,
"loss": 2.7348,
"step": 21500
},
{
"epoch": 1.34,
"learning_rate": 0.000864,
"loss": 2.7582,
"step": 21600
},
{
"epoch": 1.35,
"learning_rate": 0.0008680000000000001,
"loss": 2.7569,
"step": 21700
},
{
"epoch": 1.35,
"learning_rate": 0.000872,
"loss": 2.754,
"step": 21800
},
{
"epoch": 1.36,
"learning_rate": 0.000876,
"loss": 2.7571,
"step": 21900
},
{
"epoch": 1.36,
"learning_rate": 0.00088,
"loss": 2.7427,
"step": 22000
},
{
"epoch": 1.37,
"learning_rate": 0.000884,
"loss": 2.7657,
"step": 22100
},
{
"epoch": 1.38,
"learning_rate": 0.000888,
"loss": 2.7527,
"step": 22200
},
{
"epoch": 1.38,
"learning_rate": 0.000892,
"loss": 2.7499,
"step": 22300
},
{
"epoch": 1.39,
"learning_rate": 0.000896,
"loss": 2.7459,
"step": 22400
},
{
"epoch": 1.39,
"learning_rate": 0.0009000000000000001,
"loss": 2.7472,
"step": 22500
},
{
"epoch": 1.4,
"learning_rate": 0.0009040000000000001,
"loss": 2.7761,
"step": 22600
},
{
"epoch": 1.41,
"learning_rate": 0.0009080000000000001,
"loss": 2.7421,
"step": 22700
},
{
"epoch": 1.41,
"learning_rate": 0.000912,
"loss": 2.7459,
"step": 22800
},
{
"epoch": 1.42,
"learning_rate": 0.000916,
"loss": 2.7594,
"step": 22900
},
{
"epoch": 1.43,
"learning_rate": 0.00092,
"loss": 2.7552,
"step": 23000
},
{
"epoch": 1.43,
"learning_rate": 0.000924,
"loss": 2.7298,
"step": 23100
},
{
"epoch": 1.44,
"learning_rate": 0.0009280000000000001,
"loss": 2.7413,
"step": 23200
},
{
"epoch": 1.44,
"learning_rate": 0.0009320000000000001,
"loss": 2.7566,
"step": 23300
},
{
"epoch": 1.45,
"learning_rate": 0.0009360000000000001,
"loss": 2.7536,
"step": 23400
},
{
"epoch": 1.46,
"learning_rate": 0.00094,
"loss": 2.7431,
"step": 23500
},
{
"epoch": 1.46,
"learning_rate": 0.000944,
"loss": 2.7381,
"step": 23600
},
{
"epoch": 1.47,
"learning_rate": 0.000948,
"loss": 2.7428,
"step": 23700
},
{
"epoch": 1.48,
"learning_rate": 0.0009519999999999999,
"loss": 2.7352,
"step": 23800
},
{
"epoch": 1.48,
"learning_rate": 0.0009559999999999999,
"loss": 2.7462,
"step": 23900
},
{
"epoch": 1.49,
"learning_rate": 0.00096,
"loss": 2.7498,
"step": 24000
},
{
"epoch": 1.49,
"learning_rate": 0.000964,
"loss": 2.7327,
"step": 24100
},
{
"epoch": 1.5,
"learning_rate": 0.000968,
"loss": 2.7351,
"step": 24200
},
{
"epoch": 1.51,
"learning_rate": 0.000972,
"loss": 2.7368,
"step": 24300
},
{
"epoch": 1.51,
"learning_rate": 0.000976,
"loss": 2.7504,
"step": 24400
},
{
"epoch": 1.52,
"learning_rate": 0.00098,
"loss": 2.7456,
"step": 24500
},
{
"epoch": 1.52,
"learning_rate": 0.000984,
"loss": 2.7398,
"step": 24600
},
{
"epoch": 1.53,
"learning_rate": 0.000988,
"loss": 2.7282,
"step": 24700
},
{
"epoch": 1.54,
"learning_rate": 0.000992,
"loss": 2.7393,
"step": 24800
},
{
"epoch": 1.54,
"learning_rate": 0.000996,
"loss": 2.7343,
"step": 24900
},
{
"epoch": 1.55,
"learning_rate": 0.001,
"loss": 2.7518,
"step": 25000
},
{
"epoch": 1.55,
"eval_accuracy": 0.5213318080618469,
"eval_loss": 2.5872762203216553,
"eval_runtime": 6159.3531,
"eval_samples_per_second": 35.29,
"eval_steps_per_second": 2.206,
"step": 25000
},
{
"epoch": 1.56,
"learning_rate": 0.000996,
"loss": 2.7304,
"step": 25100
},
{
"epoch": 1.56,
"learning_rate": 0.000992,
"loss": 2.7407,
"step": 25200
},
{
"epoch": 1.57,
"learning_rate": 0.000988,
"loss": 2.7432,
"step": 25300
},
{
"epoch": 1.57,
"learning_rate": 0.000984,
"loss": 2.7605,
"step": 25400
},
{
"epoch": 1.58,
"learning_rate": 0.00098,
"loss": 2.7445,
"step": 25500
},
{
"epoch": 1.59,
"learning_rate": 0.000976,
"loss": 2.7514,
"step": 25600
},
{
"epoch": 1.59,
"learning_rate": 0.000972,
"loss": 2.7391,
"step": 25700
},
{
"epoch": 1.6,
"learning_rate": 0.000968,
"loss": 2.7188,
"step": 25800
},
{
"epoch": 1.61,
"learning_rate": 0.000964,
"loss": 2.7218,
"step": 25900
},
{
"epoch": 1.61,
"learning_rate": 0.00096,
"loss": 2.7134,
"step": 26000
},
{
"epoch": 1.62,
"learning_rate": 0.0009559999999999999,
"loss": 2.7103,
"step": 26100
},
{
"epoch": 1.62,
"learning_rate": 0.0009519999999999999,
"loss": 2.755,
"step": 26200
},
{
"epoch": 1.63,
"learning_rate": 0.000948,
"loss": 2.7243,
"step": 26300
},
{
"epoch": 1.64,
"learning_rate": 0.000944,
"loss": 2.6953,
"step": 26400
},
{
"epoch": 1.64,
"learning_rate": 0.00094,
"loss": 2.7182,
"step": 26500
},
{
"epoch": 1.65,
"learning_rate": 0.0009360000000000001,
"loss": 2.7154,
"step": 26600
},
{
"epoch": 1.66,
"learning_rate": 0.0009320000000000001,
"loss": 2.7025,
"step": 26700
},
{
"epoch": 1.66,
"learning_rate": 0.0009280000000000001,
"loss": 2.6803,
"step": 26800
},
{
"epoch": 1.67,
"learning_rate": 0.000924,
"loss": 2.6936,
"step": 26900
},
{
"epoch": 1.67,
"learning_rate": 0.00092,
"loss": 2.7001,
"step": 27000
},
{
"epoch": 1.68,
"learning_rate": 0.000916,
"loss": 2.6993,
"step": 27100
},
{
"epoch": 1.69,
"learning_rate": 0.000912,
"loss": 2.6761,
"step": 27200
},
{
"epoch": 1.69,
"learning_rate": 0.0009080000000000001,
"loss": 2.6881,
"step": 27300
},
{
"epoch": 1.7,
"learning_rate": 0.0009040000000000001,
"loss": 2.6784,
"step": 27400
},
{
"epoch": 1.7,
"learning_rate": 0.0009000000000000001,
"loss": 2.6896,
"step": 27500
},
{
"epoch": 1.71,
"learning_rate": 0.000896,
"loss": 2.6848,
"step": 27600
},
{
"epoch": 1.72,
"learning_rate": 0.000892,
"loss": 2.6726,
"step": 27700
},
{
"epoch": 1.72,
"learning_rate": 0.000888,
"loss": 2.667,
"step": 27800
},
{
"epoch": 1.73,
"learning_rate": 0.000884,
"loss": 2.6761,
"step": 27900
},
{
"epoch": 1.74,
"learning_rate": 0.00088,
"loss": 2.6782,
"step": 28000
},
{
"epoch": 1.74,
"learning_rate": 0.000876,
"loss": 2.6735,
"step": 28100
},
{
"epoch": 1.75,
"learning_rate": 0.000872,
"loss": 2.6588,
"step": 28200
},
{
"epoch": 1.75,
"learning_rate": 0.0008680000000000001,
"loss": 2.668,
"step": 28300
},
{
"epoch": 1.76,
"learning_rate": 0.000864,
"loss": 2.6486,
"step": 28400
},
{
"epoch": 1.77,
"learning_rate": 0.00086,
"loss": 2.6698,
"step": 28500
},
{
"epoch": 1.77,
"learning_rate": 0.000856,
"loss": 2.6624,
"step": 28600
},
{
"epoch": 1.78,
"learning_rate": 0.000852,
"loss": 2.6426,
"step": 28700
},
{
"epoch": 1.79,
"learning_rate": 0.000848,
"loss": 2.6427,
"step": 28800
},
{
"epoch": 1.79,
"learning_rate": 0.000844,
"loss": 2.6428,
"step": 28900
},
{
"epoch": 1.8,
"learning_rate": 0.00084,
"loss": 2.6502,
"step": 29000
},
{
"epoch": 1.8,
"learning_rate": 0.0008359999999999999,
"loss": 2.6465,
"step": 29100
},
{
"epoch": 1.81,
"learning_rate": 0.000832,
"loss": 2.6323,
"step": 29200
},
{
"epoch": 1.82,
"learning_rate": 0.000828,
"loss": 2.6417,
"step": 29300
},
{
"epoch": 1.82,
"learning_rate": 0.000824,
"loss": 2.6398,
"step": 29400
},
{
"epoch": 1.83,
"learning_rate": 0.00082,
"loss": 2.624,
"step": 29500
},
{
"epoch": 1.83,
"learning_rate": 0.000816,
"loss": 2.6285,
"step": 29600
},
{
"epoch": 1.84,
"learning_rate": 0.0008120000000000001,
"loss": 2.6319,
"step": 29700
},
{
"epoch": 1.85,
"learning_rate": 0.000808,
"loss": 2.6353,
"step": 29800
},
{
"epoch": 1.85,
"learning_rate": 0.000804,
"loss": 2.6301,
"step": 29900
},
{
"epoch": 1.86,
"learning_rate": 0.0008,
"loss": 2.6278,
"step": 30000
},
{
"epoch": 1.87,
"learning_rate": 0.000796,
"loss": 2.6239,
"step": 30100
},
{
"epoch": 1.87,
"learning_rate": 0.0007920000000000001,
"loss": 2.6101,
"step": 30200
},
{
"epoch": 1.88,
"learning_rate": 0.0007880000000000001,
"loss": 2.62,
"step": 30300
},
{
"epoch": 1.88,
"learning_rate": 0.0007840000000000001,
"loss": 2.6216,
"step": 30400
},
{
"epoch": 1.89,
"learning_rate": 0.0007800000000000001,
"loss": 2.6152,
"step": 30500
},
{
"epoch": 1.9,
"learning_rate": 0.000776,
"loss": 2.6032,
"step": 30600
},
{
"epoch": 1.9,
"learning_rate": 0.000772,
"loss": 2.6224,
"step": 30700
},
{
"epoch": 1.91,
"learning_rate": 0.000768,
"loss": 2.6032,
"step": 30800
},
{
"epoch": 1.92,
"learning_rate": 0.000764,
"loss": 2.5919,
"step": 30900
},
{
"epoch": 1.92,
"learning_rate": 0.00076,
"loss": 2.5904,
"step": 31000
},
{
"epoch": 1.93,
"learning_rate": 0.000756,
"loss": 2.5956,
"step": 31100
},
{
"epoch": 1.93,
"learning_rate": 0.0007520000000000001,
"loss": 2.5912,
"step": 31200
},
{
"epoch": 1.94,
"learning_rate": 0.000748,
"loss": 2.5968,
"step": 31300
},
{
"epoch": 1.95,
"learning_rate": 0.000744,
"loss": 2.6009,
"step": 31400
},
{
"epoch": 1.95,
"learning_rate": 0.00074,
"loss": 2.5942,
"step": 31500
},
{
"epoch": 1.96,
"learning_rate": 0.000736,
"loss": 2.588,
"step": 31600
},
{
"epoch": 1.97,
"learning_rate": 0.000732,
"loss": 2.5748,
"step": 31700
},
{
"epoch": 1.97,
"learning_rate": 0.000728,
"loss": 2.5746,
"step": 31800
},
{
"epoch": 1.98,
"learning_rate": 0.000724,
"loss": 2.5879,
"step": 31900
},
{
"epoch": 1.98,
"learning_rate": 0.0007199999999999999,
"loss": 2.57,
"step": 32000
},
{
"epoch": 1.99,
"learning_rate": 0.000716,
"loss": 2.5722,
"step": 32100
},
{
"epoch": 2.0,
"learning_rate": 0.000712,
"loss": 2.5742,
"step": 32200
},
{
"epoch": 2.0,
"learning_rate": 0.000708,
"loss": 2.5778,
"step": 32300
},
{
"epoch": 2.01,
"learning_rate": 0.000704,
"loss": 2.5566,
"step": 32400
},
{
"epoch": 2.01,
"learning_rate": 0.0007,
"loss": 2.5584,
"step": 32500
},
{
"epoch": 2.02,
"learning_rate": 0.000696,
"loss": 2.5534,
"step": 32600
},
{
"epoch": 2.03,
"learning_rate": 0.000692,
"loss": 2.5508,
"step": 32700
},
{
"epoch": 2.03,
"learning_rate": 0.0006879999999999999,
"loss": 2.545,
"step": 32800
},
{
"epoch": 2.04,
"learning_rate": 0.000684,
"loss": 2.5651,
"step": 32900
},
{
"epoch": 2.05,
"learning_rate": 0.00068,
"loss": 2.5641,
"step": 33000
},
{
"epoch": 2.05,
"learning_rate": 0.0006760000000000001,
"loss": 2.5541,
"step": 33100
},
{
"epoch": 2.06,
"learning_rate": 0.0006720000000000001,
"loss": 2.5422,
"step": 33200
},
{
"epoch": 2.06,
"learning_rate": 0.0006680000000000001,
"loss": 2.538,
"step": 33300
},
{
"epoch": 2.07,
"learning_rate": 0.0006640000000000001,
"loss": 2.5718,
"step": 33400
},
{
"epoch": 2.08,
"learning_rate": 0.00066,
"loss": 2.5429,
"step": 33500
},
{
"epoch": 2.08,
"learning_rate": 0.000656,
"loss": 2.5339,
"step": 33600
},
{
"epoch": 2.09,
"learning_rate": 0.000652,
"loss": 2.5395,
"step": 33700
},
{
"epoch": 2.1,
"learning_rate": 0.000648,
"loss": 2.5152,
"step": 33800
},
{
"epoch": 2.1,
"learning_rate": 0.000644,
"loss": 2.5249,
"step": 33900
},
{
"epoch": 2.11,
"learning_rate": 0.00064,
"loss": 2.5356,
"step": 34000
},
{
"epoch": 2.11,
"learning_rate": 0.0006360000000000001,
"loss": 2.5249,
"step": 34100
},
{
"epoch": 2.12,
"learning_rate": 0.000632,
"loss": 2.5293,
"step": 34200
},
{
"epoch": 2.13,
"learning_rate": 0.000628,
"loss": 2.5128,
"step": 34300
},
{
"epoch": 2.13,
"learning_rate": 0.000624,
"loss": 2.5339,
"step": 34400
},
{
"epoch": 2.14,
"learning_rate": 0.00062,
"loss": 2.5242,
"step": 34500
},
{
"epoch": 2.14,
"learning_rate": 0.000616,
"loss": 2.519,
"step": 34600
},
{
"epoch": 2.15,
"learning_rate": 0.000612,
"loss": 2.5265,
"step": 34700
},
{
"epoch": 2.16,
"learning_rate": 0.000608,
"loss": 2.5162,
"step": 34800
},
{
"epoch": 2.16,
"learning_rate": 0.000604,
"loss": 2.5088,
"step": 34900
},
{
"epoch": 2.17,
"learning_rate": 0.0006,
"loss": 2.4965,
"step": 35000
},
{
"epoch": 2.18,
"learning_rate": 0.000596,
"loss": 2.5009,
"step": 35100
},
{
"epoch": 2.18,
"learning_rate": 0.000592,
"loss": 2.5142,
"step": 35200
},
{
"epoch": 2.19,
"learning_rate": 0.000588,
"loss": 2.5097,
"step": 35300
},
{
"epoch": 2.19,
"learning_rate": 0.000584,
"loss": 2.492,
"step": 35400
},
{
"epoch": 2.2,
"learning_rate": 0.00058,
"loss": 2.4913,
"step": 35500
},
{
"epoch": 2.21,
"learning_rate": 0.000576,
"loss": 2.5008,
"step": 35600
},
{
"epoch": 2.21,
"learning_rate": 0.0005719999999999999,
"loss": 2.4828,
"step": 35700
},
{
"epoch": 2.22,
"learning_rate": 0.0005679999999999999,
"loss": 2.493,
"step": 35800
},
{
"epoch": 2.23,
"learning_rate": 0.0005639999999999999,
"loss": 2.4934,
"step": 35900
},
{
"epoch": 2.23,
"learning_rate": 0.0005600000000000001,
"loss": 2.4966,
"step": 36000
},
{
"epoch": 2.24,
"learning_rate": 0.0005560000000000001,
"loss": 2.4813,
"step": 36100
},
{
"epoch": 2.24,
"learning_rate": 0.0005520000000000001,
"loss": 2.4881,
"step": 36200
},
{
"epoch": 2.25,
"learning_rate": 0.0005480000000000001,
"loss": 2.4766,
"step": 36300
},
{
"epoch": 2.26,
"learning_rate": 0.0005440000000000001,
"loss": 2.4717,
"step": 36400
},
{
"epoch": 2.26,
"learning_rate": 0.00054,
"loss": 2.4767,
"step": 36500
},
{
"epoch": 2.27,
"learning_rate": 0.000536,
"loss": 2.4731,
"step": 36600
},
{
"epoch": 2.27,
"learning_rate": 0.000532,
"loss": 2.4789,
"step": 36700
},
{
"epoch": 2.28,
"learning_rate": 0.000528,
"loss": 2.4785,
"step": 36800
},
{
"epoch": 2.29,
"learning_rate": 0.000524,
"loss": 2.4717,
"step": 36900
},
{
"epoch": 2.29,
"learning_rate": 0.0005200000000000001,
"loss": 2.4715,
"step": 37000
},
{
"epoch": 2.3,
"learning_rate": 0.0005160000000000001,
"loss": 2.4764,
"step": 37100
},
{
"epoch": 2.31,
"learning_rate": 0.000512,
"loss": 2.4633,
"step": 37200
},
{
"epoch": 2.31,
"learning_rate": 0.000508,
"loss": 2.4619,
"step": 37300
},
{
"epoch": 2.32,
"learning_rate": 0.000504,
"loss": 2.4614,
"step": 37400
},
{
"epoch": 2.32,
"learning_rate": 0.0005,
"loss": 2.4626,
"step": 37500
},
{
"epoch": 2.33,
"learning_rate": 0.000496,
"loss": 2.4524,
"step": 37600
},
{
"epoch": 2.34,
"learning_rate": 0.000492,
"loss": 2.4671,
"step": 37700
},
{
"epoch": 2.34,
"learning_rate": 0.000488,
"loss": 2.4685,
"step": 37800
},
{
"epoch": 2.35,
"learning_rate": 0.000484,
"loss": 2.4533,
"step": 37900
},
{
"epoch": 2.36,
"learning_rate": 0.00048,
"loss": 2.4287,
"step": 38000
},
{
"epoch": 2.36,
"learning_rate": 0.00047599999999999997,
"loss": 2.4472,
"step": 38100
},
{
"epoch": 2.37,
"learning_rate": 0.000472,
"loss": 2.4451,
"step": 38200
},
{
"epoch": 2.37,
"learning_rate": 0.00046800000000000005,
"loss": 2.4631,
"step": 38300
},
{
"epoch": 2.38,
"learning_rate": 0.00046400000000000006,
"loss": 2.4404,
"step": 38400
},
{
"epoch": 2.39,
"learning_rate": 0.00046,
"loss": 2.4413,
"step": 38500
},
{
"epoch": 2.39,
"learning_rate": 0.000456,
"loss": 2.4345,
"step": 38600
},
{
"epoch": 2.4,
"learning_rate": 0.00045200000000000004,
"loss": 2.4403,
"step": 38700
},
{
"epoch": 2.41,
"learning_rate": 0.000448,
"loss": 2.4408,
"step": 38800
},
{
"epoch": 2.41,
"learning_rate": 0.000444,
"loss": 2.4233,
"step": 38900
},
{
"epoch": 2.42,
"learning_rate": 0.00044,
"loss": 2.4415,
"step": 39000
},
{
"epoch": 2.42,
"learning_rate": 0.000436,
"loss": 2.4349,
"step": 39100
},
{
"epoch": 2.43,
"learning_rate": 0.000432,
"loss": 2.4287,
"step": 39200
},
{
"epoch": 2.44,
"learning_rate": 0.000428,
"loss": 2.4232,
"step": 39300
},
{
"epoch": 2.44,
"learning_rate": 0.000424,
"loss": 2.416,
"step": 39400
},
{
"epoch": 2.45,
"learning_rate": 0.00042,
"loss": 2.4277,
"step": 39500
},
{
"epoch": 2.45,
"learning_rate": 0.000416,
"loss": 2.4156,
"step": 39600
},
{
"epoch": 2.46,
"learning_rate": 0.000412,
"loss": 2.4263,
"step": 39700
},
{
"epoch": 2.47,
"learning_rate": 0.000408,
"loss": 2.4283,
"step": 39800
},
{
"epoch": 2.47,
"learning_rate": 0.000404,
"loss": 2.4172,
"step": 39900
},
{
"epoch": 2.48,
"learning_rate": 0.0004,
"loss": 2.4129,
"step": 40000
},
{
"epoch": 2.49,
"learning_rate": 0.00039600000000000003,
"loss": 2.4034,
"step": 40100
},
{
"epoch": 2.49,
"learning_rate": 0.00039200000000000004,
"loss": 2.4019,
"step": 40200
},
{
"epoch": 2.5,
"learning_rate": 0.000388,
"loss": 2.4149,
"step": 40300
},
{
"epoch": 2.5,
"learning_rate": 0.000384,
"loss": 2.395,
"step": 40400
},
{
"epoch": 2.51,
"learning_rate": 0.00038,
"loss": 2.4106,
"step": 40500
},
{
"epoch": 2.52,
"learning_rate": 0.00037600000000000003,
"loss": 2.3981,
"step": 40600
},
{
"epoch": 2.52,
"learning_rate": 0.000372,
"loss": 2.3877,
"step": 40700
},
{
"epoch": 2.53,
"learning_rate": 0.000368,
"loss": 2.3989,
"step": 40800
},
{
"epoch": 2.54,
"learning_rate": 0.000364,
"loss": 2.3811,
"step": 40900
},
{
"epoch": 2.54,
"learning_rate": 0.00035999999999999997,
"loss": 2.3954,
"step": 41000
},
{
"epoch": 2.55,
"learning_rate": 0.000356,
"loss": 2.4033,
"step": 41100
},
{
"epoch": 2.55,
"learning_rate": 0.000352,
"loss": 2.3806,
"step": 41200
},
{
"epoch": 2.56,
"learning_rate": 0.000348,
"loss": 2.3749,
"step": 41300
},
{
"epoch": 2.57,
"learning_rate": 0.00034399999999999996,
"loss": 2.3896,
"step": 41400
},
{
"epoch": 2.57,
"learning_rate": 0.00034,
"loss": 2.3799,
"step": 41500
},
{
"epoch": 2.58,
"learning_rate": 0.00033600000000000004,
"loss": 2.385,
"step": 41600
},
{
"epoch": 2.58,
"learning_rate": 0.00033200000000000005,
"loss": 2.3733,
"step": 41700
},
{
"epoch": 2.59,
"learning_rate": 0.000328,
"loss": 2.381,
"step": 41800
},
{
"epoch": 2.6,
"learning_rate": 0.000324,
"loss": 2.3716,
"step": 41900
},
{
"epoch": 2.6,
"learning_rate": 0.00032,
"loss": 2.3779,
"step": 42000
},
{
"epoch": 2.61,
"learning_rate": 0.000316,
"loss": 2.3693,
"step": 42100
},
{
"epoch": 2.62,
"learning_rate": 0.000312,
"loss": 2.3618,
"step": 42200
},
{
"epoch": 2.62,
"learning_rate": 0.000308,
"loss": 2.3636,
"step": 42300
},
{
"epoch": 2.63,
"learning_rate": 0.000304,
"loss": 2.3797,
"step": 42400
},
{
"epoch": 2.63,
"learning_rate": 0.0003,
"loss": 2.3638,
"step": 42500
},
{
"epoch": 2.64,
"learning_rate": 0.000296,
"loss": 2.3765,
"step": 42600
},
{
"epoch": 2.65,
"learning_rate": 0.000292,
"loss": 2.3635,
"step": 42700
},
{
"epoch": 2.65,
"learning_rate": 0.000288,
"loss": 2.3695,
"step": 42800
},
{
"epoch": 2.66,
"learning_rate": 0.00028399999999999996,
"loss": 2.35,
"step": 42900
},
{
"epoch": 2.67,
"learning_rate": 0.00028000000000000003,
"loss": 2.3555,
"step": 43000
},
{
"epoch": 2.67,
"learning_rate": 0.00027600000000000004,
"loss": 2.3592,
"step": 43100
},
{
"epoch": 2.68,
"learning_rate": 0.00027200000000000005,
"loss": 2.3623,
"step": 43200
},
{
"epoch": 2.68,
"learning_rate": 0.000268,
"loss": 2.3422,
"step": 43300
},
{
"epoch": 2.69,
"learning_rate": 0.000264,
"loss": 2.3495,
"step": 43400
},
{
"epoch": 2.7,
"learning_rate": 0.00026000000000000003,
"loss": 2.3479,
"step": 43500
},
{
"epoch": 2.7,
"learning_rate": 0.000256,
"loss": 2.3492,
"step": 43600
},
{
"epoch": 2.71,
"learning_rate": 0.000252,
"loss": 2.3475,
"step": 43700
},
{
"epoch": 2.72,
"learning_rate": 0.000248,
"loss": 2.3366,
"step": 43800
},
{
"epoch": 2.72,
"learning_rate": 0.000244,
"loss": 2.3599,
"step": 43900
},
{
"epoch": 2.73,
"learning_rate": 0.00024,
"loss": 2.3434,
"step": 44000
},
{
"epoch": 2.73,
"learning_rate": 0.000236,
"loss": 2.3507,
"step": 44100
},
{
"epoch": 2.74,
"learning_rate": 0.00023200000000000003,
"loss": 2.3421,
"step": 44200
},
{
"epoch": 2.75,
"learning_rate": 0.000228,
"loss": 2.3198,
"step": 44300
},
{
"epoch": 2.75,
"learning_rate": 0.000224,
"loss": 2.31,
"step": 44400
},
{
"epoch": 2.76,
"learning_rate": 0.00022,
"loss": 2.3369,
"step": 44500
},
{
"epoch": 2.76,
"learning_rate": 0.000216,
"loss": 2.3275,
"step": 44600
},
{
"epoch": 2.77,
"learning_rate": 0.000212,
"loss": 2.3318,
"step": 44700
},
{
"epoch": 2.78,
"learning_rate": 0.000208,
"loss": 2.3457,
"step": 44800
},
{
"epoch": 2.78,
"learning_rate": 0.000204,
"loss": 2.3336,
"step": 44900
},
{
"epoch": 2.79,
"learning_rate": 0.0002,
"loss": 2.3411,
"step": 45000
},
{
"epoch": 2.8,
"learning_rate": 0.00019600000000000002,
"loss": 2.338,
"step": 45100
},
{
"epoch": 2.8,
"learning_rate": 0.000192,
"loss": 2.3059,
"step": 45200
},
{
"epoch": 2.81,
"learning_rate": 0.00018800000000000002,
"loss": 2.3253,
"step": 45300
},
{
"epoch": 2.81,
"learning_rate": 0.000184,
"loss": 2.3181,
"step": 45400
},
{
"epoch": 2.82,
"learning_rate": 0.00017999999999999998,
"loss": 2.3329,
"step": 45500
},
{
"epoch": 2.83,
"learning_rate": 0.000176,
"loss": 2.3128,
"step": 45600
},
{
"epoch": 2.83,
"learning_rate": 0.00017199999999999998,
"loss": 2.3133,
"step": 45700
},
{
"epoch": 2.84,
"learning_rate": 0.00016800000000000002,
"loss": 2.3154,
"step": 45800
},
{
"epoch": 2.85,
"learning_rate": 0.000164,
"loss": 2.3158,
"step": 45900
},
{
"epoch": 2.85,
"learning_rate": 0.00016,
"loss": 2.3276,
"step": 46000
},
{
"epoch": 2.86,
"learning_rate": 0.000156,
"loss": 2.3017,
"step": 46100
},
{
"epoch": 2.86,
"learning_rate": 0.000152,
"loss": 2.3043,
"step": 46200
},
{
"epoch": 2.87,
"learning_rate": 0.000148,
"loss": 2.3292,
"step": 46300
},
{
"epoch": 2.88,
"learning_rate": 0.000144,
"loss": 2.3008,
"step": 46400
},
{
"epoch": 2.88,
"learning_rate": 0.00014000000000000001,
"loss": 2.3083,
"step": 46500
},
{
"epoch": 2.89,
"learning_rate": 0.00013600000000000003,
"loss": 2.297,
"step": 46600
},
{
"epoch": 2.89,
"learning_rate": 0.000132,
"loss": 2.2969,
"step": 46700
},
{
"epoch": 2.9,
"learning_rate": 0.000128,
"loss": 2.304,
"step": 46800
},
{
"epoch": 2.91,
"learning_rate": 0.000124,
"loss": 2.2976,
"step": 46900
},
{
"epoch": 2.91,
"learning_rate": 0.00012,
"loss": 2.2944,
"step": 47000
},
{
"epoch": 2.92,
"learning_rate": 0.00011600000000000001,
"loss": 2.2965,
"step": 47100
},
{
"epoch": 2.93,
"learning_rate": 0.000112,
"loss": 2.2915,
"step": 47200
},
{
"epoch": 2.93,
"learning_rate": 0.000108,
"loss": 2.2986,
"step": 47300
},
{
"epoch": 2.94,
"learning_rate": 0.000104,
"loss": 2.2986,
"step": 47400
},
{
"epoch": 2.94,
"learning_rate": 0.0001,
"loss": 2.2876,
"step": 47500
},
{
"epoch": 2.95,
"learning_rate": 9.6e-05,
"loss": 2.2889,
"step": 47600
},
{
"epoch": 2.96,
"learning_rate": 9.2e-05,
"loss": 2.2914,
"step": 47700
},
{
"epoch": 2.96,
"learning_rate": 8.8e-05,
"loss": 2.2848,
"step": 47800
},
{
"epoch": 2.97,
"learning_rate": 8.400000000000001e-05,
"loss": 2.2822,
"step": 47900
},
{
"epoch": 2.98,
"learning_rate": 8e-05,
"loss": 2.272,
"step": 48000
},
{
"epoch": 2.98,
"learning_rate": 7.6e-05,
"loss": 2.2862,
"step": 48100
},
{
"epoch": 2.99,
"learning_rate": 7.2e-05,
"loss": 2.2756,
"step": 48200
},
{
"epoch": 2.99,
"learning_rate": 6.800000000000001e-05,
"loss": 2.2796,
"step": 48300
},
{
"epoch": 3.0,
"learning_rate": 6.4e-05,
"loss": 2.2766,
"step": 48400
},
{
"epoch": 3.01,
"learning_rate": 6e-05,
"loss": 2.2662,
"step": 48500
},
{
"epoch": 3.01,
"learning_rate": 5.6e-05,
"loss": 2.2805,
"step": 48600
},
{
"epoch": 3.02,
"learning_rate": 5.2e-05,
"loss": 2.2668,
"step": 48700
},
{
"epoch": 3.02,
"learning_rate": 4.8e-05,
"loss": 2.2776,
"step": 48800
},
{
"epoch": 3.03,
"learning_rate": 4.4e-05,
"loss": 2.2768,
"step": 48900
},
{
"epoch": 3.04,
"learning_rate": 4e-05,
"loss": 2.2644,
"step": 49000
},
{
"epoch": 3.04,
"learning_rate": 3.6e-05,
"loss": 2.2822,
"step": 49100
},
{
"epoch": 3.05,
"learning_rate": 3.2e-05,
"loss": 2.2597,
"step": 49200
},
{
"epoch": 3.06,
"learning_rate": 2.8e-05,
"loss": 2.2602,
"step": 49300
},
{
"epoch": 3.06,
"learning_rate": 2.4e-05,
"loss": 2.2677,
"step": 49400
},
{
"epoch": 3.07,
"learning_rate": 2e-05,
"loss": 2.2615,
"step": 49500
},
{
"epoch": 3.07,
"learning_rate": 1.6e-05,
"loss": 2.26,
"step": 49600
},
{
"epoch": 3.08,
"learning_rate": 1.2e-05,
"loss": 2.2612,
"step": 49700
},
{
"epoch": 3.09,
"learning_rate": 8e-06,
"loss": 2.2487,
"step": 49800
},
{
"epoch": 3.09,
"learning_rate": 4e-06,
"loss": 2.267,
"step": 49900
},
{
"epoch": 3.1,
"learning_rate": 0.0,
"loss": 2.2587,
"step": 50000
},
{
"epoch": 3.1,
"eval_accuracy": 0.5823700512250327,
"eval_loss": 2.1487433910369873,
"eval_runtime": 6151.3334,
"eval_samples_per_second": 35.336,
"eval_steps_per_second": 2.209,
"step": 50000
},
{
"epoch": 3.1,
"step": 50000,
"total_flos": 7.55408847241216e+17,
"train_loss": 2.8628560260009768,
"train_runtime": 151959.6932,
"train_samples_per_second": 84.233,
"train_steps_per_second": 0.329
}
],
"max_steps": 50000,
"num_train_epochs": 4,
"total_flos": 7.55408847241216e+17,
"trial_name": null,
"trial_params": null
}