Bloomz_lora_answer / checkpoint-500 /trainer_state.json
CreatorPhan's picture
Upload folder using huggingface_hub (#2)
8e957b4
raw
history blame
56.6 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 20.0,
"eval_steps": 500,
"global_step": 500,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.04,
"learning_rate": 0.0001996,
"loss": 2.4683,
"step": 1
},
{
"epoch": 0.08,
"learning_rate": 0.00019920000000000002,
"loss": 2.2023,
"step": 2
},
{
"epoch": 0.12,
"learning_rate": 0.0001988,
"loss": 2.3039,
"step": 3
},
{
"epoch": 0.16,
"learning_rate": 0.0001984,
"loss": 2.1855,
"step": 4
},
{
"epoch": 0.2,
"learning_rate": 0.00019800000000000002,
"loss": 2.328,
"step": 5
},
{
"epoch": 0.24,
"learning_rate": 0.0001976,
"loss": 2.3407,
"step": 6
},
{
"epoch": 0.28,
"learning_rate": 0.0001972,
"loss": 2.3432,
"step": 7
},
{
"epoch": 0.32,
"learning_rate": 0.0001968,
"loss": 2.2333,
"step": 8
},
{
"epoch": 0.36,
"learning_rate": 0.0001964,
"loss": 2.1761,
"step": 9
},
{
"epoch": 0.4,
"learning_rate": 0.000196,
"loss": 2.1473,
"step": 10
},
{
"epoch": 0.44,
"learning_rate": 0.0001956,
"loss": 2.2076,
"step": 11
},
{
"epoch": 0.48,
"learning_rate": 0.0001952,
"loss": 2.1925,
"step": 12
},
{
"epoch": 0.52,
"learning_rate": 0.0001948,
"loss": 2.1694,
"step": 13
},
{
"epoch": 0.56,
"learning_rate": 0.0001944,
"loss": 2.1056,
"step": 14
},
{
"epoch": 0.6,
"learning_rate": 0.000194,
"loss": 2.2426,
"step": 15
},
{
"epoch": 0.64,
"learning_rate": 0.00019360000000000002,
"loss": 2.2635,
"step": 16
},
{
"epoch": 0.68,
"learning_rate": 0.0001932,
"loss": 2.251,
"step": 17
},
{
"epoch": 0.72,
"learning_rate": 0.0001928,
"loss": 2.224,
"step": 18
},
{
"epoch": 0.76,
"learning_rate": 0.00019240000000000001,
"loss": 2.1848,
"step": 19
},
{
"epoch": 0.8,
"learning_rate": 0.000192,
"loss": 2.1341,
"step": 20
},
{
"epoch": 0.84,
"learning_rate": 0.0001916,
"loss": 2.126,
"step": 21
},
{
"epoch": 0.88,
"learning_rate": 0.0001912,
"loss": 2.0959,
"step": 22
},
{
"epoch": 0.92,
"learning_rate": 0.0001908,
"loss": 2.2446,
"step": 23
},
{
"epoch": 0.96,
"learning_rate": 0.0001904,
"loss": 1.9448,
"step": 24
},
{
"epoch": 1.0,
"learning_rate": 0.00019,
"loss": 2.0939,
"step": 25
},
{
"epoch": 1.04,
"learning_rate": 0.0001896,
"loss": 2.1247,
"step": 26
},
{
"epoch": 1.08,
"learning_rate": 0.0001892,
"loss": 1.9417,
"step": 27
},
{
"epoch": 1.12,
"learning_rate": 0.0001888,
"loss": 2.105,
"step": 28
},
{
"epoch": 1.16,
"learning_rate": 0.0001884,
"loss": 2.1595,
"step": 29
},
{
"epoch": 1.2,
"learning_rate": 0.000188,
"loss": 2.2009,
"step": 30
},
{
"epoch": 1.24,
"learning_rate": 0.0001876,
"loss": 2.0784,
"step": 31
},
{
"epoch": 1.28,
"learning_rate": 0.00018720000000000002,
"loss": 2.2173,
"step": 32
},
{
"epoch": 1.32,
"learning_rate": 0.00018680000000000001,
"loss": 2.1185,
"step": 33
},
{
"epoch": 1.36,
"learning_rate": 0.00018640000000000003,
"loss": 1.988,
"step": 34
},
{
"epoch": 1.4,
"learning_rate": 0.00018600000000000002,
"loss": 1.9493,
"step": 35
},
{
"epoch": 1.44,
"learning_rate": 0.0001856,
"loss": 1.9947,
"step": 36
},
{
"epoch": 1.48,
"learning_rate": 0.00018520000000000003,
"loss": 2.0506,
"step": 37
},
{
"epoch": 1.52,
"learning_rate": 0.00018480000000000002,
"loss": 2.0829,
"step": 38
},
{
"epoch": 1.56,
"learning_rate": 0.0001844,
"loss": 2.1455,
"step": 39
},
{
"epoch": 1.6,
"learning_rate": 0.00018400000000000003,
"loss": 2.0304,
"step": 40
},
{
"epoch": 1.64,
"learning_rate": 0.00018360000000000002,
"loss": 2.006,
"step": 41
},
{
"epoch": 1.68,
"learning_rate": 0.0001832,
"loss": 2.1759,
"step": 42
},
{
"epoch": 1.72,
"learning_rate": 0.00018280000000000003,
"loss": 2.0093,
"step": 43
},
{
"epoch": 1.76,
"learning_rate": 0.00018240000000000002,
"loss": 2.0683,
"step": 44
},
{
"epoch": 1.8,
"learning_rate": 0.000182,
"loss": 2.1352,
"step": 45
},
{
"epoch": 1.84,
"learning_rate": 0.00018160000000000002,
"loss": 1.9736,
"step": 46
},
{
"epoch": 1.88,
"learning_rate": 0.0001812,
"loss": 1.9631,
"step": 47
},
{
"epoch": 1.92,
"learning_rate": 0.0001808,
"loss": 2.1024,
"step": 48
},
{
"epoch": 1.96,
"learning_rate": 0.00018040000000000002,
"loss": 1.9895,
"step": 49
},
{
"epoch": 2.0,
"learning_rate": 0.00018,
"loss": 2.0067,
"step": 50
},
{
"epoch": 2.04,
"learning_rate": 0.0001796,
"loss": 2.0509,
"step": 51
},
{
"epoch": 2.08,
"learning_rate": 0.00017920000000000002,
"loss": 1.8795,
"step": 52
},
{
"epoch": 2.12,
"learning_rate": 0.0001788,
"loss": 2.0633,
"step": 53
},
{
"epoch": 2.16,
"learning_rate": 0.0001784,
"loss": 1.9998,
"step": 54
},
{
"epoch": 2.2,
"learning_rate": 0.00017800000000000002,
"loss": 2.0675,
"step": 55
},
{
"epoch": 2.24,
"learning_rate": 0.0001776,
"loss": 2.0129,
"step": 56
},
{
"epoch": 2.28,
"learning_rate": 0.0001772,
"loss": 1.9302,
"step": 57
},
{
"epoch": 2.32,
"learning_rate": 0.00017680000000000001,
"loss": 2.0472,
"step": 58
},
{
"epoch": 2.36,
"learning_rate": 0.0001764,
"loss": 2.0031,
"step": 59
},
{
"epoch": 2.4,
"learning_rate": 0.00017600000000000002,
"loss": 2.0231,
"step": 60
},
{
"epoch": 2.44,
"learning_rate": 0.0001756,
"loss": 2.0192,
"step": 61
},
{
"epoch": 2.48,
"learning_rate": 0.0001752,
"loss": 2.1336,
"step": 62
},
{
"epoch": 2.52,
"learning_rate": 0.00017480000000000002,
"loss": 1.7753,
"step": 63
},
{
"epoch": 2.56,
"learning_rate": 0.0001744,
"loss": 2.0274,
"step": 64
},
{
"epoch": 2.6,
"learning_rate": 0.000174,
"loss": 1.8893,
"step": 65
},
{
"epoch": 2.64,
"learning_rate": 0.00017360000000000002,
"loss": 2.0341,
"step": 66
},
{
"epoch": 2.68,
"learning_rate": 0.0001732,
"loss": 2.1081,
"step": 67
},
{
"epoch": 2.72,
"learning_rate": 0.0001728,
"loss": 1.9463,
"step": 68
},
{
"epoch": 2.76,
"learning_rate": 0.00017240000000000002,
"loss": 2.0607,
"step": 69
},
{
"epoch": 2.8,
"learning_rate": 0.000172,
"loss": 1.9803,
"step": 70
},
{
"epoch": 2.84,
"learning_rate": 0.0001716,
"loss": 1.7663,
"step": 71
},
{
"epoch": 2.88,
"learning_rate": 0.00017120000000000001,
"loss": 2.1116,
"step": 72
},
{
"epoch": 2.92,
"learning_rate": 0.0001708,
"loss": 1.9039,
"step": 73
},
{
"epoch": 2.96,
"learning_rate": 0.0001704,
"loss": 2.049,
"step": 74
},
{
"epoch": 3.0,
"learning_rate": 0.00017,
"loss": 1.991,
"step": 75
},
{
"epoch": 3.04,
"learning_rate": 0.0001696,
"loss": 1.8755,
"step": 76
},
{
"epoch": 3.08,
"learning_rate": 0.0001692,
"loss": 2.0367,
"step": 77
},
{
"epoch": 3.12,
"learning_rate": 0.0001688,
"loss": 1.9959,
"step": 78
},
{
"epoch": 3.16,
"learning_rate": 0.0001684,
"loss": 1.8051,
"step": 79
},
{
"epoch": 3.2,
"learning_rate": 0.000168,
"loss": 2.0446,
"step": 80
},
{
"epoch": 3.24,
"learning_rate": 0.0001676,
"loss": 1.7873,
"step": 81
},
{
"epoch": 3.28,
"learning_rate": 0.0001672,
"loss": 1.9264,
"step": 82
},
{
"epoch": 3.32,
"learning_rate": 0.0001668,
"loss": 1.8595,
"step": 83
},
{
"epoch": 3.36,
"learning_rate": 0.0001664,
"loss": 1.9992,
"step": 84
},
{
"epoch": 3.4,
"learning_rate": 0.000166,
"loss": 1.8783,
"step": 85
},
{
"epoch": 3.44,
"learning_rate": 0.0001656,
"loss": 2.0216,
"step": 86
},
{
"epoch": 3.48,
"learning_rate": 0.0001652,
"loss": 1.947,
"step": 87
},
{
"epoch": 3.52,
"learning_rate": 0.0001648,
"loss": 1.9554,
"step": 88
},
{
"epoch": 3.56,
"learning_rate": 0.0001644,
"loss": 1.8563,
"step": 89
},
{
"epoch": 3.6,
"learning_rate": 0.000164,
"loss": 1.7795,
"step": 90
},
{
"epoch": 3.64,
"learning_rate": 0.0001636,
"loss": 1.9347,
"step": 91
},
{
"epoch": 3.68,
"learning_rate": 0.0001632,
"loss": 2.0078,
"step": 92
},
{
"epoch": 3.72,
"learning_rate": 0.0001628,
"loss": 1.9964,
"step": 93
},
{
"epoch": 3.76,
"learning_rate": 0.00016240000000000002,
"loss": 1.9004,
"step": 94
},
{
"epoch": 3.8,
"learning_rate": 0.000162,
"loss": 1.9446,
"step": 95
},
{
"epoch": 3.84,
"learning_rate": 0.00016160000000000002,
"loss": 1.8857,
"step": 96
},
{
"epoch": 3.88,
"learning_rate": 0.00016120000000000002,
"loss": 1.8797,
"step": 97
},
{
"epoch": 3.92,
"learning_rate": 0.0001608,
"loss": 1.7643,
"step": 98
},
{
"epoch": 3.96,
"learning_rate": 0.00016040000000000002,
"loss": 1.9724,
"step": 99
},
{
"epoch": 4.0,
"learning_rate": 0.00016,
"loss": 1.9058,
"step": 100
},
{
"epoch": 4.04,
"learning_rate": 0.0001596,
"loss": 1.8663,
"step": 101
},
{
"epoch": 4.08,
"learning_rate": 0.00015920000000000002,
"loss": 1.8457,
"step": 102
},
{
"epoch": 4.12,
"learning_rate": 0.0001588,
"loss": 1.8394,
"step": 103
},
{
"epoch": 4.16,
"learning_rate": 0.00015840000000000003,
"loss": 1.8941,
"step": 104
},
{
"epoch": 4.2,
"learning_rate": 0.00015800000000000002,
"loss": 1.8601,
"step": 105
},
{
"epoch": 4.24,
"learning_rate": 0.0001576,
"loss": 1.7365,
"step": 106
},
{
"epoch": 4.28,
"learning_rate": 0.00015720000000000003,
"loss": 1.8809,
"step": 107
},
{
"epoch": 4.32,
"learning_rate": 0.00015680000000000002,
"loss": 2.0206,
"step": 108
},
{
"epoch": 4.36,
"learning_rate": 0.0001564,
"loss": 1.7776,
"step": 109
},
{
"epoch": 4.4,
"learning_rate": 0.00015600000000000002,
"loss": 1.9089,
"step": 110
},
{
"epoch": 4.44,
"learning_rate": 0.00015560000000000001,
"loss": 1.8464,
"step": 111
},
{
"epoch": 4.48,
"learning_rate": 0.0001552,
"loss": 1.7943,
"step": 112
},
{
"epoch": 4.52,
"learning_rate": 0.00015480000000000002,
"loss": 1.8081,
"step": 113
},
{
"epoch": 4.56,
"learning_rate": 0.0001544,
"loss": 1.734,
"step": 114
},
{
"epoch": 4.6,
"learning_rate": 0.000154,
"loss": 1.8379,
"step": 115
},
{
"epoch": 4.64,
"learning_rate": 0.00015360000000000002,
"loss": 1.6841,
"step": 116
},
{
"epoch": 4.68,
"learning_rate": 0.0001532,
"loss": 1.8253,
"step": 117
},
{
"epoch": 4.72,
"learning_rate": 0.0001528,
"loss": 1.7607,
"step": 118
},
{
"epoch": 4.76,
"learning_rate": 0.00015240000000000002,
"loss": 1.8205,
"step": 119
},
{
"epoch": 4.8,
"learning_rate": 0.000152,
"loss": 1.8443,
"step": 120
},
{
"epoch": 4.84,
"learning_rate": 0.0001516,
"loss": 1.8824,
"step": 121
},
{
"epoch": 4.88,
"learning_rate": 0.00015120000000000002,
"loss": 1.8369,
"step": 122
},
{
"epoch": 4.92,
"learning_rate": 0.0001508,
"loss": 1.8017,
"step": 123
},
{
"epoch": 4.96,
"learning_rate": 0.0001504,
"loss": 1.7858,
"step": 124
},
{
"epoch": 5.0,
"learning_rate": 0.00015000000000000001,
"loss": 1.8366,
"step": 125
},
{
"epoch": 5.04,
"learning_rate": 0.0001496,
"loss": 1.7353,
"step": 126
},
{
"epoch": 5.08,
"learning_rate": 0.0001492,
"loss": 1.6017,
"step": 127
},
{
"epoch": 5.12,
"learning_rate": 0.0001488,
"loss": 1.6645,
"step": 128
},
{
"epoch": 5.16,
"learning_rate": 0.0001484,
"loss": 1.8663,
"step": 129
},
{
"epoch": 5.2,
"learning_rate": 0.000148,
"loss": 1.7009,
"step": 130
},
{
"epoch": 5.24,
"learning_rate": 0.0001476,
"loss": 1.7371,
"step": 131
},
{
"epoch": 5.28,
"learning_rate": 0.0001472,
"loss": 1.8555,
"step": 132
},
{
"epoch": 5.32,
"learning_rate": 0.00014680000000000002,
"loss": 1.6373,
"step": 133
},
{
"epoch": 5.36,
"learning_rate": 0.0001464,
"loss": 1.7211,
"step": 134
},
{
"epoch": 5.4,
"learning_rate": 0.000146,
"loss": 1.614,
"step": 135
},
{
"epoch": 5.44,
"learning_rate": 0.00014560000000000002,
"loss": 1.8736,
"step": 136
},
{
"epoch": 5.48,
"learning_rate": 0.0001452,
"loss": 1.7229,
"step": 137
},
{
"epoch": 5.52,
"learning_rate": 0.0001448,
"loss": 1.7315,
"step": 138
},
{
"epoch": 5.56,
"learning_rate": 0.0001444,
"loss": 1.7259,
"step": 139
},
{
"epoch": 5.6,
"learning_rate": 0.000144,
"loss": 1.7032,
"step": 140
},
{
"epoch": 5.64,
"learning_rate": 0.0001436,
"loss": 1.9237,
"step": 141
},
{
"epoch": 5.68,
"learning_rate": 0.0001432,
"loss": 1.7821,
"step": 142
},
{
"epoch": 5.72,
"learning_rate": 0.0001428,
"loss": 1.6081,
"step": 143
},
{
"epoch": 5.76,
"learning_rate": 0.0001424,
"loss": 1.7979,
"step": 144
},
{
"epoch": 5.8,
"learning_rate": 0.000142,
"loss": 1.6675,
"step": 145
},
{
"epoch": 5.84,
"learning_rate": 0.0001416,
"loss": 1.6758,
"step": 146
},
{
"epoch": 5.88,
"learning_rate": 0.0001412,
"loss": 1.7783,
"step": 147
},
{
"epoch": 5.92,
"learning_rate": 0.0001408,
"loss": 1.5935,
"step": 148
},
{
"epoch": 5.96,
"learning_rate": 0.0001404,
"loss": 1.7372,
"step": 149
},
{
"epoch": 6.0,
"learning_rate": 0.00014,
"loss": 1.6308,
"step": 150
},
{
"epoch": 6.04,
"learning_rate": 0.0001396,
"loss": 1.5829,
"step": 151
},
{
"epoch": 6.08,
"learning_rate": 0.0001392,
"loss": 1.6538,
"step": 152
},
{
"epoch": 6.12,
"learning_rate": 0.00013879999999999999,
"loss": 1.7624,
"step": 153
},
{
"epoch": 6.16,
"learning_rate": 0.0001384,
"loss": 1.4968,
"step": 154
},
{
"epoch": 6.2,
"learning_rate": 0.000138,
"loss": 1.7305,
"step": 155
},
{
"epoch": 6.24,
"learning_rate": 0.00013759999999999998,
"loss": 1.6536,
"step": 156
},
{
"epoch": 6.28,
"learning_rate": 0.00013720000000000003,
"loss": 1.654,
"step": 157
},
{
"epoch": 6.32,
"learning_rate": 0.00013680000000000002,
"loss": 1.7163,
"step": 158
},
{
"epoch": 6.36,
"learning_rate": 0.0001364,
"loss": 1.6599,
"step": 159
},
{
"epoch": 6.4,
"learning_rate": 0.00013600000000000003,
"loss": 1.5729,
"step": 160
},
{
"epoch": 6.44,
"learning_rate": 0.00013560000000000002,
"loss": 1.5291,
"step": 161
},
{
"epoch": 6.48,
"learning_rate": 0.0001352,
"loss": 1.5666,
"step": 162
},
{
"epoch": 6.52,
"learning_rate": 0.00013480000000000002,
"loss": 1.7576,
"step": 163
},
{
"epoch": 6.56,
"learning_rate": 0.00013440000000000001,
"loss": 1.4462,
"step": 164
},
{
"epoch": 6.6,
"learning_rate": 0.000134,
"loss": 1.5659,
"step": 165
},
{
"epoch": 6.64,
"learning_rate": 0.00013360000000000002,
"loss": 1.6234,
"step": 166
},
{
"epoch": 6.68,
"learning_rate": 0.0001332,
"loss": 1.5176,
"step": 167
},
{
"epoch": 6.72,
"learning_rate": 0.0001328,
"loss": 1.667,
"step": 168
},
{
"epoch": 6.76,
"learning_rate": 0.00013240000000000002,
"loss": 1.6514,
"step": 169
},
{
"epoch": 6.8,
"learning_rate": 0.000132,
"loss": 1.7179,
"step": 170
},
{
"epoch": 6.84,
"learning_rate": 0.0001316,
"loss": 1.4373,
"step": 171
},
{
"epoch": 6.88,
"learning_rate": 0.00013120000000000002,
"loss": 1.7044,
"step": 172
},
{
"epoch": 6.92,
"learning_rate": 0.0001308,
"loss": 1.5673,
"step": 173
},
{
"epoch": 6.96,
"learning_rate": 0.0001304,
"loss": 1.6303,
"step": 174
},
{
"epoch": 7.0,
"learning_rate": 0.00013000000000000002,
"loss": 1.4828,
"step": 175
},
{
"epoch": 7.04,
"learning_rate": 0.0001296,
"loss": 1.6204,
"step": 176
},
{
"epoch": 7.08,
"learning_rate": 0.00012920000000000002,
"loss": 1.4955,
"step": 177
},
{
"epoch": 7.12,
"learning_rate": 0.00012880000000000001,
"loss": 1.6109,
"step": 178
},
{
"epoch": 7.16,
"learning_rate": 0.0001284,
"loss": 1.5318,
"step": 179
},
{
"epoch": 7.2,
"learning_rate": 0.00012800000000000002,
"loss": 1.5702,
"step": 180
},
{
"epoch": 7.24,
"learning_rate": 0.0001276,
"loss": 1.4598,
"step": 181
},
{
"epoch": 7.28,
"learning_rate": 0.0001272,
"loss": 1.6145,
"step": 182
},
{
"epoch": 7.32,
"learning_rate": 0.00012680000000000002,
"loss": 1.3628,
"step": 183
},
{
"epoch": 7.36,
"learning_rate": 0.0001264,
"loss": 1.4578,
"step": 184
},
{
"epoch": 7.4,
"learning_rate": 0.000126,
"loss": 1.7094,
"step": 185
},
{
"epoch": 7.44,
"learning_rate": 0.00012560000000000002,
"loss": 1.4376,
"step": 186
},
{
"epoch": 7.48,
"learning_rate": 0.0001252,
"loss": 1.3393,
"step": 187
},
{
"epoch": 7.52,
"learning_rate": 0.0001248,
"loss": 1.4273,
"step": 188
},
{
"epoch": 7.56,
"learning_rate": 0.00012440000000000002,
"loss": 1.5506,
"step": 189
},
{
"epoch": 7.6,
"learning_rate": 0.000124,
"loss": 1.4774,
"step": 190
},
{
"epoch": 7.64,
"learning_rate": 0.0001236,
"loss": 1.4632,
"step": 191
},
{
"epoch": 7.68,
"learning_rate": 0.0001232,
"loss": 1.4568,
"step": 192
},
{
"epoch": 7.72,
"learning_rate": 0.0001228,
"loss": 1.6106,
"step": 193
},
{
"epoch": 7.76,
"learning_rate": 0.0001224,
"loss": 1.577,
"step": 194
},
{
"epoch": 7.8,
"learning_rate": 0.000122,
"loss": 1.4805,
"step": 195
},
{
"epoch": 7.84,
"learning_rate": 0.0001216,
"loss": 1.4546,
"step": 196
},
{
"epoch": 7.88,
"learning_rate": 0.0001212,
"loss": 1.5164,
"step": 197
},
{
"epoch": 7.92,
"learning_rate": 0.0001208,
"loss": 1.5061,
"step": 198
},
{
"epoch": 7.96,
"learning_rate": 0.0001204,
"loss": 1.5312,
"step": 199
},
{
"epoch": 8.0,
"learning_rate": 0.00012,
"loss": 1.4463,
"step": 200
},
{
"epoch": 8.04,
"learning_rate": 0.00011960000000000001,
"loss": 1.4207,
"step": 201
},
{
"epoch": 8.08,
"learning_rate": 0.0001192,
"loss": 1.4688,
"step": 202
},
{
"epoch": 8.12,
"learning_rate": 0.0001188,
"loss": 1.4445,
"step": 203
},
{
"epoch": 8.16,
"learning_rate": 0.0001184,
"loss": 1.4158,
"step": 204
},
{
"epoch": 8.2,
"learning_rate": 0.000118,
"loss": 1.3483,
"step": 205
},
{
"epoch": 8.24,
"learning_rate": 0.0001176,
"loss": 1.4117,
"step": 206
},
{
"epoch": 8.28,
"learning_rate": 0.0001172,
"loss": 1.4267,
"step": 207
},
{
"epoch": 8.32,
"learning_rate": 0.00011679999999999999,
"loss": 1.5547,
"step": 208
},
{
"epoch": 8.36,
"learning_rate": 0.0001164,
"loss": 1.4883,
"step": 209
},
{
"epoch": 8.4,
"learning_rate": 0.000116,
"loss": 1.414,
"step": 210
},
{
"epoch": 8.44,
"learning_rate": 0.00011559999999999999,
"loss": 1.3254,
"step": 211
},
{
"epoch": 8.48,
"learning_rate": 0.0001152,
"loss": 1.22,
"step": 212
},
{
"epoch": 8.52,
"learning_rate": 0.0001148,
"loss": 1.3224,
"step": 213
},
{
"epoch": 8.56,
"learning_rate": 0.0001144,
"loss": 1.6158,
"step": 214
},
{
"epoch": 8.6,
"learning_rate": 0.00011399999999999999,
"loss": 1.2817,
"step": 215
},
{
"epoch": 8.64,
"learning_rate": 0.0001136,
"loss": 1.4077,
"step": 216
},
{
"epoch": 8.68,
"learning_rate": 0.0001132,
"loss": 1.5311,
"step": 217
},
{
"epoch": 8.72,
"learning_rate": 0.00011279999999999999,
"loss": 1.5289,
"step": 218
},
{
"epoch": 8.76,
"learning_rate": 0.00011240000000000002,
"loss": 1.4576,
"step": 219
},
{
"epoch": 8.8,
"learning_rate": 0.00011200000000000001,
"loss": 1.2063,
"step": 220
},
{
"epoch": 8.84,
"learning_rate": 0.00011160000000000002,
"loss": 1.3543,
"step": 221
},
{
"epoch": 8.88,
"learning_rate": 0.00011120000000000002,
"loss": 1.4352,
"step": 222
},
{
"epoch": 8.92,
"learning_rate": 0.00011080000000000001,
"loss": 1.3058,
"step": 223
},
{
"epoch": 8.96,
"learning_rate": 0.00011040000000000001,
"loss": 1.3475,
"step": 224
},
{
"epoch": 9.0,
"learning_rate": 0.00011000000000000002,
"loss": 1.1293,
"step": 225
},
{
"epoch": 9.04,
"learning_rate": 0.00010960000000000001,
"loss": 1.1671,
"step": 226
},
{
"epoch": 9.08,
"learning_rate": 0.00010920000000000001,
"loss": 1.4726,
"step": 227
},
{
"epoch": 9.12,
"learning_rate": 0.00010880000000000002,
"loss": 1.3986,
"step": 228
},
{
"epoch": 9.16,
"learning_rate": 0.00010840000000000002,
"loss": 1.2731,
"step": 229
},
{
"epoch": 9.2,
"learning_rate": 0.00010800000000000001,
"loss": 1.2212,
"step": 230
},
{
"epoch": 9.24,
"learning_rate": 0.00010760000000000001,
"loss": 1.3067,
"step": 231
},
{
"epoch": 9.28,
"learning_rate": 0.00010720000000000002,
"loss": 1.278,
"step": 232
},
{
"epoch": 9.32,
"learning_rate": 0.00010680000000000001,
"loss": 1.4141,
"step": 233
},
{
"epoch": 9.36,
"learning_rate": 0.00010640000000000001,
"loss": 1.2885,
"step": 234
},
{
"epoch": 9.4,
"learning_rate": 0.00010600000000000002,
"loss": 1.466,
"step": 235
},
{
"epoch": 9.44,
"learning_rate": 0.0001056,
"loss": 1.2979,
"step": 236
},
{
"epoch": 9.48,
"learning_rate": 0.00010520000000000001,
"loss": 1.1622,
"step": 237
},
{
"epoch": 9.52,
"learning_rate": 0.00010480000000000001,
"loss": 1.2504,
"step": 238
},
{
"epoch": 9.56,
"learning_rate": 0.0001044,
"loss": 1.228,
"step": 239
},
{
"epoch": 9.6,
"learning_rate": 0.00010400000000000001,
"loss": 1.3607,
"step": 240
},
{
"epoch": 9.64,
"learning_rate": 0.00010360000000000001,
"loss": 1.1921,
"step": 241
},
{
"epoch": 9.68,
"learning_rate": 0.0001032,
"loss": 1.2114,
"step": 242
},
{
"epoch": 9.72,
"learning_rate": 0.0001028,
"loss": 1.2385,
"step": 243
},
{
"epoch": 9.76,
"learning_rate": 0.00010240000000000001,
"loss": 1.3227,
"step": 244
},
{
"epoch": 9.8,
"learning_rate": 0.00010200000000000001,
"loss": 1.3935,
"step": 245
},
{
"epoch": 9.84,
"learning_rate": 0.0001016,
"loss": 1.2209,
"step": 246
},
{
"epoch": 9.88,
"learning_rate": 0.00010120000000000001,
"loss": 1.1541,
"step": 247
},
{
"epoch": 9.92,
"learning_rate": 0.00010080000000000001,
"loss": 1.4049,
"step": 248
},
{
"epoch": 9.96,
"learning_rate": 0.0001004,
"loss": 1.13,
"step": 249
},
{
"epoch": 10.0,
"learning_rate": 0.0001,
"loss": 1.3783,
"step": 250
},
{
"epoch": 10.04,
"learning_rate": 9.960000000000001e-05,
"loss": 1.3207,
"step": 251
},
{
"epoch": 10.08,
"learning_rate": 9.92e-05,
"loss": 1.2697,
"step": 252
},
{
"epoch": 10.12,
"learning_rate": 9.88e-05,
"loss": 1.091,
"step": 253
},
{
"epoch": 10.16,
"learning_rate": 9.84e-05,
"loss": 1.0463,
"step": 254
},
{
"epoch": 10.2,
"learning_rate": 9.8e-05,
"loss": 1.3686,
"step": 255
},
{
"epoch": 10.24,
"learning_rate": 9.76e-05,
"loss": 1.3109,
"step": 256
},
{
"epoch": 10.28,
"learning_rate": 9.72e-05,
"loss": 1.2338,
"step": 257
},
{
"epoch": 10.32,
"learning_rate": 9.680000000000001e-05,
"loss": 1.12,
"step": 258
},
{
"epoch": 10.36,
"learning_rate": 9.64e-05,
"loss": 1.1864,
"step": 259
},
{
"epoch": 10.4,
"learning_rate": 9.6e-05,
"loss": 1.1062,
"step": 260
},
{
"epoch": 10.44,
"learning_rate": 9.56e-05,
"loss": 1.2924,
"step": 261
},
{
"epoch": 10.48,
"learning_rate": 9.52e-05,
"loss": 1.1931,
"step": 262
},
{
"epoch": 10.52,
"learning_rate": 9.48e-05,
"loss": 1.2366,
"step": 263
},
{
"epoch": 10.56,
"learning_rate": 9.44e-05,
"loss": 1.1589,
"step": 264
},
{
"epoch": 10.6,
"learning_rate": 9.4e-05,
"loss": 1.1197,
"step": 265
},
{
"epoch": 10.64,
"learning_rate": 9.360000000000001e-05,
"loss": 1.3072,
"step": 266
},
{
"epoch": 10.68,
"learning_rate": 9.320000000000002e-05,
"loss": 1.1173,
"step": 267
},
{
"epoch": 10.72,
"learning_rate": 9.28e-05,
"loss": 1.0378,
"step": 268
},
{
"epoch": 10.76,
"learning_rate": 9.240000000000001e-05,
"loss": 1.1746,
"step": 269
},
{
"epoch": 10.8,
"learning_rate": 9.200000000000001e-05,
"loss": 1.1144,
"step": 270
},
{
"epoch": 10.84,
"learning_rate": 9.16e-05,
"loss": 1.1862,
"step": 271
},
{
"epoch": 10.88,
"learning_rate": 9.120000000000001e-05,
"loss": 1.0816,
"step": 272
},
{
"epoch": 10.92,
"learning_rate": 9.080000000000001e-05,
"loss": 1.2288,
"step": 273
},
{
"epoch": 10.96,
"learning_rate": 9.04e-05,
"loss": 1.3031,
"step": 274
},
{
"epoch": 11.0,
"learning_rate": 9e-05,
"loss": 1.1646,
"step": 275
},
{
"epoch": 11.04,
"learning_rate": 8.960000000000001e-05,
"loss": 1.2088,
"step": 276
},
{
"epoch": 11.08,
"learning_rate": 8.92e-05,
"loss": 1.1465,
"step": 277
},
{
"epoch": 11.12,
"learning_rate": 8.88e-05,
"loss": 1.0313,
"step": 278
},
{
"epoch": 11.16,
"learning_rate": 8.840000000000001e-05,
"loss": 0.9662,
"step": 279
},
{
"epoch": 11.2,
"learning_rate": 8.800000000000001e-05,
"loss": 1.051,
"step": 280
},
{
"epoch": 11.24,
"learning_rate": 8.76e-05,
"loss": 1.1708,
"step": 281
},
{
"epoch": 11.28,
"learning_rate": 8.72e-05,
"loss": 1.0236,
"step": 282
},
{
"epoch": 11.32,
"learning_rate": 8.680000000000001e-05,
"loss": 1.1359,
"step": 283
},
{
"epoch": 11.36,
"learning_rate": 8.64e-05,
"loss": 1.1398,
"step": 284
},
{
"epoch": 11.4,
"learning_rate": 8.6e-05,
"loss": 1.0213,
"step": 285
},
{
"epoch": 11.44,
"learning_rate": 8.560000000000001e-05,
"loss": 1.1788,
"step": 286
},
{
"epoch": 11.48,
"learning_rate": 8.52e-05,
"loss": 1.0387,
"step": 287
},
{
"epoch": 11.52,
"learning_rate": 8.48e-05,
"loss": 0.9476,
"step": 288
},
{
"epoch": 11.56,
"learning_rate": 8.44e-05,
"loss": 1.1954,
"step": 289
},
{
"epoch": 11.6,
"learning_rate": 8.4e-05,
"loss": 1.0309,
"step": 290
},
{
"epoch": 11.64,
"learning_rate": 8.36e-05,
"loss": 1.1321,
"step": 291
},
{
"epoch": 11.68,
"learning_rate": 8.32e-05,
"loss": 1.0914,
"step": 292
},
{
"epoch": 11.72,
"learning_rate": 8.28e-05,
"loss": 1.222,
"step": 293
},
{
"epoch": 11.76,
"learning_rate": 8.24e-05,
"loss": 1.0127,
"step": 294
},
{
"epoch": 11.8,
"learning_rate": 8.2e-05,
"loss": 1.1977,
"step": 295
},
{
"epoch": 11.84,
"learning_rate": 8.16e-05,
"loss": 1.122,
"step": 296
},
{
"epoch": 11.88,
"learning_rate": 8.120000000000001e-05,
"loss": 1.1543,
"step": 297
},
{
"epoch": 11.92,
"learning_rate": 8.080000000000001e-05,
"loss": 1.1767,
"step": 298
},
{
"epoch": 11.96,
"learning_rate": 8.04e-05,
"loss": 1.1341,
"step": 299
},
{
"epoch": 12.0,
"learning_rate": 8e-05,
"loss": 1.0107,
"step": 300
},
{
"epoch": 12.04,
"learning_rate": 7.960000000000001e-05,
"loss": 1.1455,
"step": 301
},
{
"epoch": 12.08,
"learning_rate": 7.920000000000001e-05,
"loss": 1.0091,
"step": 302
},
{
"epoch": 12.12,
"learning_rate": 7.88e-05,
"loss": 0.9888,
"step": 303
},
{
"epoch": 12.16,
"learning_rate": 7.840000000000001e-05,
"loss": 0.9894,
"step": 304
},
{
"epoch": 12.2,
"learning_rate": 7.800000000000001e-05,
"loss": 1.0095,
"step": 305
},
{
"epoch": 12.24,
"learning_rate": 7.76e-05,
"loss": 1.1163,
"step": 306
},
{
"epoch": 12.28,
"learning_rate": 7.72e-05,
"loss": 1.0345,
"step": 307
},
{
"epoch": 12.32,
"learning_rate": 7.680000000000001e-05,
"loss": 0.9662,
"step": 308
},
{
"epoch": 12.36,
"learning_rate": 7.64e-05,
"loss": 0.9064,
"step": 309
},
{
"epoch": 12.4,
"learning_rate": 7.6e-05,
"loss": 0.9448,
"step": 310
},
{
"epoch": 12.44,
"learning_rate": 7.560000000000001e-05,
"loss": 0.9509,
"step": 311
},
{
"epoch": 12.48,
"learning_rate": 7.52e-05,
"loss": 1.123,
"step": 312
},
{
"epoch": 12.52,
"learning_rate": 7.48e-05,
"loss": 1.1011,
"step": 313
},
{
"epoch": 12.56,
"learning_rate": 7.44e-05,
"loss": 0.9398,
"step": 314
},
{
"epoch": 12.6,
"learning_rate": 7.4e-05,
"loss": 1.0498,
"step": 315
},
{
"epoch": 12.64,
"learning_rate": 7.36e-05,
"loss": 1.0442,
"step": 316
},
{
"epoch": 12.68,
"learning_rate": 7.32e-05,
"loss": 0.9599,
"step": 317
},
{
"epoch": 12.72,
"learning_rate": 7.280000000000001e-05,
"loss": 0.8778,
"step": 318
},
{
"epoch": 12.76,
"learning_rate": 7.24e-05,
"loss": 0.8727,
"step": 319
},
{
"epoch": 12.8,
"learning_rate": 7.2e-05,
"loss": 1.0189,
"step": 320
},
{
"epoch": 12.84,
"learning_rate": 7.16e-05,
"loss": 1.0543,
"step": 321
},
{
"epoch": 12.88,
"learning_rate": 7.12e-05,
"loss": 1.1282,
"step": 322
},
{
"epoch": 12.92,
"learning_rate": 7.08e-05,
"loss": 1.1018,
"step": 323
},
{
"epoch": 12.96,
"learning_rate": 7.04e-05,
"loss": 1.1827,
"step": 324
},
{
"epoch": 13.0,
"learning_rate": 7e-05,
"loss": 1.108,
"step": 325
},
{
"epoch": 13.04,
"learning_rate": 6.96e-05,
"loss": 0.9618,
"step": 326
},
{
"epoch": 13.08,
"learning_rate": 6.92e-05,
"loss": 1.0666,
"step": 327
},
{
"epoch": 13.12,
"learning_rate": 6.879999999999999e-05,
"loss": 0.9973,
"step": 328
},
{
"epoch": 13.16,
"learning_rate": 6.840000000000001e-05,
"loss": 1.0103,
"step": 329
},
{
"epoch": 13.2,
"learning_rate": 6.800000000000001e-05,
"loss": 0.9974,
"step": 330
},
{
"epoch": 13.24,
"learning_rate": 6.76e-05,
"loss": 1.2283,
"step": 331
},
{
"epoch": 13.28,
"learning_rate": 6.720000000000001e-05,
"loss": 0.7485,
"step": 332
},
{
"epoch": 13.32,
"learning_rate": 6.680000000000001e-05,
"loss": 0.8072,
"step": 333
},
{
"epoch": 13.36,
"learning_rate": 6.64e-05,
"loss": 1.1106,
"step": 334
},
{
"epoch": 13.4,
"learning_rate": 6.6e-05,
"loss": 0.8216,
"step": 335
},
{
"epoch": 13.44,
"learning_rate": 6.560000000000001e-05,
"loss": 0.959,
"step": 336
},
{
"epoch": 13.48,
"learning_rate": 6.52e-05,
"loss": 1.0767,
"step": 337
},
{
"epoch": 13.52,
"learning_rate": 6.48e-05,
"loss": 1.0395,
"step": 338
},
{
"epoch": 13.56,
"learning_rate": 6.440000000000001e-05,
"loss": 0.9102,
"step": 339
},
{
"epoch": 13.6,
"learning_rate": 6.400000000000001e-05,
"loss": 0.8875,
"step": 340
},
{
"epoch": 13.64,
"learning_rate": 6.36e-05,
"loss": 1.0005,
"step": 341
},
{
"epoch": 13.68,
"learning_rate": 6.32e-05,
"loss": 0.9208,
"step": 342
},
{
"epoch": 13.72,
"learning_rate": 6.280000000000001e-05,
"loss": 0.8943,
"step": 343
},
{
"epoch": 13.76,
"learning_rate": 6.24e-05,
"loss": 0.8441,
"step": 344
},
{
"epoch": 13.8,
"learning_rate": 6.2e-05,
"loss": 0.9953,
"step": 345
},
{
"epoch": 13.84,
"learning_rate": 6.16e-05,
"loss": 0.796,
"step": 346
},
{
"epoch": 13.88,
"learning_rate": 6.12e-05,
"loss": 1.0745,
"step": 347
},
{
"epoch": 13.92,
"learning_rate": 6.08e-05,
"loss": 0.9898,
"step": 348
},
{
"epoch": 13.96,
"learning_rate": 6.04e-05,
"loss": 0.9559,
"step": 349
},
{
"epoch": 14.0,
"learning_rate": 6e-05,
"loss": 0.8236,
"step": 350
},
{
"epoch": 14.04,
"learning_rate": 5.96e-05,
"loss": 0.7318,
"step": 351
},
{
"epoch": 14.08,
"learning_rate": 5.92e-05,
"loss": 0.8994,
"step": 352
},
{
"epoch": 14.12,
"learning_rate": 5.88e-05,
"loss": 0.9707,
"step": 353
},
{
"epoch": 14.16,
"learning_rate": 5.8399999999999997e-05,
"loss": 0.806,
"step": 354
},
{
"epoch": 14.2,
"learning_rate": 5.8e-05,
"loss": 1.0525,
"step": 355
},
{
"epoch": 14.24,
"learning_rate": 5.76e-05,
"loss": 0.7589,
"step": 356
},
{
"epoch": 14.28,
"learning_rate": 5.72e-05,
"loss": 0.7703,
"step": 357
},
{
"epoch": 14.32,
"learning_rate": 5.68e-05,
"loss": 0.9869,
"step": 358
},
{
"epoch": 14.36,
"learning_rate": 5.6399999999999995e-05,
"loss": 0.9673,
"step": 359
},
{
"epoch": 14.4,
"learning_rate": 5.6000000000000006e-05,
"loss": 0.9913,
"step": 360
},
{
"epoch": 14.44,
"learning_rate": 5.560000000000001e-05,
"loss": 1.0219,
"step": 361
},
{
"epoch": 14.48,
"learning_rate": 5.520000000000001e-05,
"loss": 0.8672,
"step": 362
},
{
"epoch": 14.52,
"learning_rate": 5.4800000000000004e-05,
"loss": 1.0464,
"step": 363
},
{
"epoch": 14.56,
"learning_rate": 5.440000000000001e-05,
"loss": 1.0109,
"step": 364
},
{
"epoch": 14.6,
"learning_rate": 5.4000000000000005e-05,
"loss": 0.9913,
"step": 365
},
{
"epoch": 14.64,
"learning_rate": 5.360000000000001e-05,
"loss": 0.779,
"step": 366
},
{
"epoch": 14.68,
"learning_rate": 5.3200000000000006e-05,
"loss": 0.8675,
"step": 367
},
{
"epoch": 14.72,
"learning_rate": 5.28e-05,
"loss": 0.987,
"step": 368
},
{
"epoch": 14.76,
"learning_rate": 5.2400000000000007e-05,
"loss": 0.741,
"step": 369
},
{
"epoch": 14.8,
"learning_rate": 5.2000000000000004e-05,
"loss": 0.9585,
"step": 370
},
{
"epoch": 14.84,
"learning_rate": 5.16e-05,
"loss": 0.8977,
"step": 371
},
{
"epoch": 14.88,
"learning_rate": 5.1200000000000004e-05,
"loss": 0.7836,
"step": 372
},
{
"epoch": 14.92,
"learning_rate": 5.08e-05,
"loss": 0.8461,
"step": 373
},
{
"epoch": 14.96,
"learning_rate": 5.0400000000000005e-05,
"loss": 0.7531,
"step": 374
},
{
"epoch": 15.0,
"learning_rate": 5e-05,
"loss": 0.8906,
"step": 375
},
{
"epoch": 15.04,
"learning_rate": 4.96e-05,
"loss": 0.8793,
"step": 376
},
{
"epoch": 15.08,
"learning_rate": 4.92e-05,
"loss": 0.8596,
"step": 377
},
{
"epoch": 15.12,
"learning_rate": 4.88e-05,
"loss": 0.7947,
"step": 378
},
{
"epoch": 15.16,
"learning_rate": 4.8400000000000004e-05,
"loss": 0.7976,
"step": 379
},
{
"epoch": 15.2,
"learning_rate": 4.8e-05,
"loss": 0.9037,
"step": 380
},
{
"epoch": 15.24,
"learning_rate": 4.76e-05,
"loss": 0.9863,
"step": 381
},
{
"epoch": 15.28,
"learning_rate": 4.72e-05,
"loss": 0.7735,
"step": 382
},
{
"epoch": 15.32,
"learning_rate": 4.6800000000000006e-05,
"loss": 0.6723,
"step": 383
},
{
"epoch": 15.36,
"learning_rate": 4.64e-05,
"loss": 0.7002,
"step": 384
},
{
"epoch": 15.4,
"learning_rate": 4.600000000000001e-05,
"loss": 0.9479,
"step": 385
},
{
"epoch": 15.44,
"learning_rate": 4.5600000000000004e-05,
"loss": 0.8159,
"step": 386
},
{
"epoch": 15.48,
"learning_rate": 4.52e-05,
"loss": 0.7954,
"step": 387
},
{
"epoch": 15.52,
"learning_rate": 4.4800000000000005e-05,
"loss": 0.8016,
"step": 388
},
{
"epoch": 15.56,
"learning_rate": 4.44e-05,
"loss": 0.7995,
"step": 389
},
{
"epoch": 15.6,
"learning_rate": 4.4000000000000006e-05,
"loss": 0.8243,
"step": 390
},
{
"epoch": 15.64,
"learning_rate": 4.36e-05,
"loss": 0.8335,
"step": 391
},
{
"epoch": 15.68,
"learning_rate": 4.32e-05,
"loss": 1.001,
"step": 392
},
{
"epoch": 15.72,
"learning_rate": 4.2800000000000004e-05,
"loss": 0.9385,
"step": 393
},
{
"epoch": 15.76,
"learning_rate": 4.24e-05,
"loss": 0.8796,
"step": 394
},
{
"epoch": 15.8,
"learning_rate": 4.2e-05,
"loss": 0.98,
"step": 395
},
{
"epoch": 15.84,
"learning_rate": 4.16e-05,
"loss": 0.7547,
"step": 396
},
{
"epoch": 15.88,
"learning_rate": 4.12e-05,
"loss": 0.7943,
"step": 397
},
{
"epoch": 15.92,
"learning_rate": 4.08e-05,
"loss": 0.8135,
"step": 398
},
{
"epoch": 15.96,
"learning_rate": 4.0400000000000006e-05,
"loss": 0.87,
"step": 399
},
{
"epoch": 16.0,
"learning_rate": 4e-05,
"loss": 0.8818,
"step": 400
},
{
"epoch": 16.04,
"learning_rate": 3.960000000000001e-05,
"loss": 1.0793,
"step": 401
},
{
"epoch": 16.08,
"learning_rate": 3.9200000000000004e-05,
"loss": 0.6816,
"step": 402
},
{
"epoch": 16.12,
"learning_rate": 3.88e-05,
"loss": 0.8138,
"step": 403
},
{
"epoch": 16.16,
"learning_rate": 3.8400000000000005e-05,
"loss": 0.8002,
"step": 404
},
{
"epoch": 16.2,
"learning_rate": 3.8e-05,
"loss": 0.7104,
"step": 405
},
{
"epoch": 16.24,
"learning_rate": 3.76e-05,
"loss": 0.749,
"step": 406
},
{
"epoch": 16.28,
"learning_rate": 3.72e-05,
"loss": 0.9713,
"step": 407
},
{
"epoch": 16.32,
"learning_rate": 3.68e-05,
"loss": 0.9039,
"step": 408
},
{
"epoch": 16.36,
"learning_rate": 3.6400000000000004e-05,
"loss": 0.7958,
"step": 409
},
{
"epoch": 16.4,
"learning_rate": 3.6e-05,
"loss": 0.9242,
"step": 410
},
{
"epoch": 16.44,
"learning_rate": 3.56e-05,
"loss": 0.7224,
"step": 411
},
{
"epoch": 16.48,
"learning_rate": 3.52e-05,
"loss": 0.8227,
"step": 412
},
{
"epoch": 16.52,
"learning_rate": 3.48e-05,
"loss": 0.7336,
"step": 413
},
{
"epoch": 16.56,
"learning_rate": 3.4399999999999996e-05,
"loss": 0.801,
"step": 414
},
{
"epoch": 16.6,
"learning_rate": 3.4000000000000007e-05,
"loss": 0.7649,
"step": 415
},
{
"epoch": 16.64,
"learning_rate": 3.3600000000000004e-05,
"loss": 0.859,
"step": 416
},
{
"epoch": 16.68,
"learning_rate": 3.32e-05,
"loss": 0.7702,
"step": 417
},
{
"epoch": 16.72,
"learning_rate": 3.2800000000000004e-05,
"loss": 0.7585,
"step": 418
},
{
"epoch": 16.76,
"learning_rate": 3.24e-05,
"loss": 0.6829,
"step": 419
},
{
"epoch": 16.8,
"learning_rate": 3.2000000000000005e-05,
"loss": 0.8186,
"step": 420
},
{
"epoch": 16.84,
"learning_rate": 3.16e-05,
"loss": 0.7649,
"step": 421
},
{
"epoch": 16.88,
"learning_rate": 3.12e-05,
"loss": 0.8019,
"step": 422
},
{
"epoch": 16.92,
"learning_rate": 3.08e-05,
"loss": 0.82,
"step": 423
},
{
"epoch": 16.96,
"learning_rate": 3.04e-05,
"loss": 0.7077,
"step": 424
},
{
"epoch": 17.0,
"learning_rate": 3e-05,
"loss": 0.7803,
"step": 425
},
{
"epoch": 17.04,
"learning_rate": 2.96e-05,
"loss": 0.8311,
"step": 426
},
{
"epoch": 17.08,
"learning_rate": 2.9199999999999998e-05,
"loss": 0.8245,
"step": 427
},
{
"epoch": 17.12,
"learning_rate": 2.88e-05,
"loss": 0.6627,
"step": 428
},
{
"epoch": 17.16,
"learning_rate": 2.84e-05,
"loss": 0.6721,
"step": 429
},
{
"epoch": 17.2,
"learning_rate": 2.8000000000000003e-05,
"loss": 0.9004,
"step": 430
},
{
"epoch": 17.24,
"learning_rate": 2.7600000000000003e-05,
"loss": 0.7606,
"step": 431
},
{
"epoch": 17.28,
"learning_rate": 2.7200000000000004e-05,
"loss": 0.7235,
"step": 432
},
{
"epoch": 17.32,
"learning_rate": 2.6800000000000004e-05,
"loss": 0.797,
"step": 433
},
{
"epoch": 17.36,
"learning_rate": 2.64e-05,
"loss": 0.6312,
"step": 434
},
{
"epoch": 17.4,
"learning_rate": 2.6000000000000002e-05,
"loss": 0.869,
"step": 435
},
{
"epoch": 17.44,
"learning_rate": 2.5600000000000002e-05,
"loss": 0.7968,
"step": 436
},
{
"epoch": 17.48,
"learning_rate": 2.5200000000000003e-05,
"loss": 0.6872,
"step": 437
},
{
"epoch": 17.52,
"learning_rate": 2.48e-05,
"loss": 0.7272,
"step": 438
},
{
"epoch": 17.56,
"learning_rate": 2.44e-05,
"loss": 0.7695,
"step": 439
},
{
"epoch": 17.6,
"learning_rate": 2.4e-05,
"loss": 0.6806,
"step": 440
},
{
"epoch": 17.64,
"learning_rate": 2.36e-05,
"loss": 0.9562,
"step": 441
},
{
"epoch": 17.68,
"learning_rate": 2.32e-05,
"loss": 0.8659,
"step": 442
},
{
"epoch": 17.72,
"learning_rate": 2.2800000000000002e-05,
"loss": 0.8259,
"step": 443
},
{
"epoch": 17.76,
"learning_rate": 2.2400000000000002e-05,
"loss": 0.7056,
"step": 444
},
{
"epoch": 17.8,
"learning_rate": 2.2000000000000003e-05,
"loss": 0.7251,
"step": 445
},
{
"epoch": 17.84,
"learning_rate": 2.16e-05,
"loss": 0.8674,
"step": 446
},
{
"epoch": 17.88,
"learning_rate": 2.12e-05,
"loss": 0.7127,
"step": 447
},
{
"epoch": 17.92,
"learning_rate": 2.08e-05,
"loss": 0.849,
"step": 448
},
{
"epoch": 17.96,
"learning_rate": 2.04e-05,
"loss": 0.7506,
"step": 449
},
{
"epoch": 18.0,
"learning_rate": 2e-05,
"loss": 0.7262,
"step": 450
},
{
"epoch": 18.04,
"learning_rate": 1.9600000000000002e-05,
"loss": 0.8102,
"step": 451
},
{
"epoch": 18.08,
"learning_rate": 1.9200000000000003e-05,
"loss": 0.7843,
"step": 452
},
{
"epoch": 18.12,
"learning_rate": 1.88e-05,
"loss": 0.6902,
"step": 453
},
{
"epoch": 18.16,
"learning_rate": 1.84e-05,
"loss": 0.749,
"step": 454
},
{
"epoch": 18.2,
"learning_rate": 1.8e-05,
"loss": 0.722,
"step": 455
},
{
"epoch": 18.24,
"learning_rate": 1.76e-05,
"loss": 0.7015,
"step": 456
},
{
"epoch": 18.28,
"learning_rate": 1.7199999999999998e-05,
"loss": 0.7451,
"step": 457
},
{
"epoch": 18.32,
"learning_rate": 1.6800000000000002e-05,
"loss": 0.8411,
"step": 458
},
{
"epoch": 18.36,
"learning_rate": 1.6400000000000002e-05,
"loss": 0.8594,
"step": 459
},
{
"epoch": 18.4,
"learning_rate": 1.6000000000000003e-05,
"loss": 0.7394,
"step": 460
},
{
"epoch": 18.44,
"learning_rate": 1.56e-05,
"loss": 0.8071,
"step": 461
},
{
"epoch": 18.48,
"learning_rate": 1.52e-05,
"loss": 0.5883,
"step": 462
},
{
"epoch": 18.52,
"learning_rate": 1.48e-05,
"loss": 0.5356,
"step": 463
},
{
"epoch": 18.56,
"learning_rate": 1.44e-05,
"loss": 0.6916,
"step": 464
},
{
"epoch": 18.6,
"learning_rate": 1.4000000000000001e-05,
"loss": 0.7899,
"step": 465
},
{
"epoch": 18.64,
"learning_rate": 1.3600000000000002e-05,
"loss": 0.7651,
"step": 466
},
{
"epoch": 18.68,
"learning_rate": 1.32e-05,
"loss": 0.7883,
"step": 467
},
{
"epoch": 18.72,
"learning_rate": 1.2800000000000001e-05,
"loss": 0.8655,
"step": 468
},
{
"epoch": 18.76,
"learning_rate": 1.24e-05,
"loss": 0.6875,
"step": 469
},
{
"epoch": 18.8,
"learning_rate": 1.2e-05,
"loss": 0.7629,
"step": 470
},
{
"epoch": 18.84,
"learning_rate": 1.16e-05,
"loss": 0.5825,
"step": 471
},
{
"epoch": 18.88,
"learning_rate": 1.1200000000000001e-05,
"loss": 0.6979,
"step": 472
},
{
"epoch": 18.92,
"learning_rate": 1.08e-05,
"loss": 0.8777,
"step": 473
},
{
"epoch": 18.96,
"learning_rate": 1.04e-05,
"loss": 0.7298,
"step": 474
},
{
"epoch": 19.0,
"learning_rate": 1e-05,
"loss": 0.8324,
"step": 475
},
{
"epoch": 19.04,
"learning_rate": 9.600000000000001e-06,
"loss": 0.6186,
"step": 476
},
{
"epoch": 19.08,
"learning_rate": 9.2e-06,
"loss": 0.7853,
"step": 477
},
{
"epoch": 19.12,
"learning_rate": 8.8e-06,
"loss": 0.5731,
"step": 478
},
{
"epoch": 19.16,
"learning_rate": 8.400000000000001e-06,
"loss": 0.7915,
"step": 479
},
{
"epoch": 19.2,
"learning_rate": 8.000000000000001e-06,
"loss": 0.83,
"step": 480
},
{
"epoch": 19.24,
"learning_rate": 7.6e-06,
"loss": 0.7768,
"step": 481
},
{
"epoch": 19.28,
"learning_rate": 7.2e-06,
"loss": 0.6634,
"step": 482
},
{
"epoch": 19.32,
"learning_rate": 6.800000000000001e-06,
"loss": 0.657,
"step": 483
},
{
"epoch": 19.36,
"learning_rate": 6.4000000000000006e-06,
"loss": 0.8127,
"step": 484
},
{
"epoch": 19.4,
"learning_rate": 6e-06,
"loss": 0.7326,
"step": 485
},
{
"epoch": 19.44,
"learning_rate": 5.600000000000001e-06,
"loss": 0.6168,
"step": 486
},
{
"epoch": 19.48,
"learning_rate": 5.2e-06,
"loss": 0.7808,
"step": 487
},
{
"epoch": 19.52,
"learning_rate": 4.800000000000001e-06,
"loss": 0.7509,
"step": 488
},
{
"epoch": 19.56,
"learning_rate": 4.4e-06,
"loss": 0.7304,
"step": 489
},
{
"epoch": 19.6,
"learning_rate": 4.000000000000001e-06,
"loss": 0.77,
"step": 490
},
{
"epoch": 19.64,
"learning_rate": 3.6e-06,
"loss": 0.6577,
"step": 491
},
{
"epoch": 19.68,
"learning_rate": 3.2000000000000003e-06,
"loss": 0.6797,
"step": 492
},
{
"epoch": 19.72,
"learning_rate": 2.8000000000000003e-06,
"loss": 0.807,
"step": 493
},
{
"epoch": 19.76,
"learning_rate": 2.4000000000000003e-06,
"loss": 0.7484,
"step": 494
},
{
"epoch": 19.8,
"learning_rate": 2.0000000000000003e-06,
"loss": 0.7582,
"step": 495
},
{
"epoch": 19.84,
"learning_rate": 1.6000000000000001e-06,
"loss": 0.7102,
"step": 496
},
{
"epoch": 19.88,
"learning_rate": 1.2000000000000002e-06,
"loss": 0.7078,
"step": 497
},
{
"epoch": 19.92,
"learning_rate": 8.000000000000001e-07,
"loss": 0.7877,
"step": 498
},
{
"epoch": 19.96,
"learning_rate": 4.0000000000000003e-07,
"loss": 0.8055,
"step": 499
},
{
"epoch": 20.0,
"learning_rate": 0.0,
"loss": 0.6905,
"step": 500
}
],
"logging_steps": 1,
"max_steps": 500,
"num_train_epochs": 20,
"save_steps": 100,
"total_flos": 1.701892530444288e+17,
"trial_name": null,
"trial_params": null
}