wav2vec2-gpt2-wandb-grid-search / trainer_state.json
sanchit-gandhi's picture
End of training
c0ac052
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 1.0,
"global_step": 892,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 0.0,
"loss": 4.8117,
"step": 1
},
{
"epoch": 0.0,
"learning_rate": 0.0,
"loss": 5.069,
"step": 2
},
{
"epoch": 0.0,
"learning_rate": 2e-08,
"loss": 4.9247,
"step": 3
},
{
"epoch": 0.0,
"learning_rate": 4e-08,
"loss": 4.9264,
"step": 4
},
{
"epoch": 0.01,
"learning_rate": 6.000000000000001e-08,
"loss": 4.775,
"step": 5
},
{
"epoch": 0.01,
"learning_rate": 8e-08,
"loss": 4.8728,
"step": 6
},
{
"epoch": 0.01,
"learning_rate": 1.0000000000000001e-07,
"loss": 4.8517,
"step": 7
},
{
"epoch": 0.01,
"learning_rate": 1.2000000000000002e-07,
"loss": 4.7681,
"step": 8
},
{
"epoch": 0.01,
"learning_rate": 1.4e-07,
"loss": 4.9379,
"step": 9
},
{
"epoch": 0.01,
"learning_rate": 1.6e-07,
"loss": 4.8324,
"step": 10
},
{
"epoch": 0.01,
"learning_rate": 1.8e-07,
"loss": 4.9107,
"step": 11
},
{
"epoch": 0.01,
"learning_rate": 2.0000000000000002e-07,
"loss": 4.885,
"step": 12
},
{
"epoch": 0.01,
"learning_rate": 2.2e-07,
"loss": 4.8775,
"step": 13
},
{
"epoch": 0.02,
"learning_rate": 2.4000000000000003e-07,
"loss": 4.8306,
"step": 14
},
{
"epoch": 0.02,
"learning_rate": 2.6e-07,
"loss": 4.7829,
"step": 15
},
{
"epoch": 0.02,
"learning_rate": 2.8e-07,
"loss": 4.9149,
"step": 16
},
{
"epoch": 0.02,
"learning_rate": 3.0000000000000004e-07,
"loss": 4.9241,
"step": 17
},
{
"epoch": 0.02,
"learning_rate": 3.2e-07,
"loss": 5.055,
"step": 18
},
{
"epoch": 0.02,
"learning_rate": 3.4000000000000003e-07,
"loss": 4.765,
"step": 19
},
{
"epoch": 0.02,
"learning_rate": 3.6e-07,
"loss": 4.949,
"step": 20
},
{
"epoch": 0.02,
"learning_rate": 3.8e-07,
"loss": 4.8868,
"step": 21
},
{
"epoch": 0.02,
"learning_rate": 4.0000000000000003e-07,
"loss": 4.816,
"step": 22
},
{
"epoch": 0.03,
"learning_rate": 4.2000000000000006e-07,
"loss": 4.8877,
"step": 23
},
{
"epoch": 0.03,
"learning_rate": 4.4e-07,
"loss": 5.0342,
"step": 24
},
{
"epoch": 0.03,
"learning_rate": 4.6000000000000004e-07,
"loss": 4.9072,
"step": 25
},
{
"epoch": 0.03,
"learning_rate": 4.800000000000001e-07,
"loss": 5.0654,
"step": 26
},
{
"epoch": 0.03,
"learning_rate": 5.000000000000001e-07,
"loss": 4.8262,
"step": 27
},
{
"epoch": 0.03,
"learning_rate": 5.2e-07,
"loss": 4.7309,
"step": 28
},
{
"epoch": 0.03,
"learning_rate": 5.4e-07,
"loss": 4.7592,
"step": 29
},
{
"epoch": 0.03,
"learning_rate": 5.6e-07,
"loss": 4.9317,
"step": 30
},
{
"epoch": 0.03,
"learning_rate": 5.800000000000001e-07,
"loss": 4.9113,
"step": 31
},
{
"epoch": 0.04,
"learning_rate": 6.000000000000001e-07,
"loss": 4.7046,
"step": 32
},
{
"epoch": 0.04,
"learning_rate": 6.200000000000001e-07,
"loss": 4.8189,
"step": 33
},
{
"epoch": 0.04,
"learning_rate": 6.4e-07,
"loss": 4.667,
"step": 34
},
{
"epoch": 0.04,
"learning_rate": 6.6e-07,
"loss": 4.8741,
"step": 35
},
{
"epoch": 0.04,
"learning_rate": 6.800000000000001e-07,
"loss": 4.8444,
"step": 36
},
{
"epoch": 0.04,
"learning_rate": 7.000000000000001e-07,
"loss": 4.8907,
"step": 37
},
{
"epoch": 0.04,
"learning_rate": 7.2e-07,
"loss": 4.8745,
"step": 38
},
{
"epoch": 0.04,
"learning_rate": 7.4e-07,
"loss": 5.0974,
"step": 39
},
{
"epoch": 0.04,
"learning_rate": 7.6e-07,
"loss": 4.8256,
"step": 40
},
{
"epoch": 0.05,
"learning_rate": 7.8e-07,
"loss": 4.7171,
"step": 41
},
{
"epoch": 0.05,
"learning_rate": 8.000000000000001e-07,
"loss": 4.913,
"step": 42
},
{
"epoch": 0.05,
"learning_rate": 8.200000000000001e-07,
"loss": 4.7189,
"step": 43
},
{
"epoch": 0.05,
"learning_rate": 8.400000000000001e-07,
"loss": 4.9229,
"step": 44
},
{
"epoch": 0.05,
"learning_rate": 8.6e-07,
"loss": 5.0259,
"step": 45
},
{
"epoch": 0.05,
"learning_rate": 8.8e-07,
"loss": 5.2111,
"step": 46
},
{
"epoch": 0.05,
"learning_rate": 9.000000000000001e-07,
"loss": 5.1443,
"step": 47
},
{
"epoch": 0.05,
"learning_rate": 9.200000000000001e-07,
"loss": 5.5136,
"step": 48
},
{
"epoch": 0.05,
"learning_rate": 9.200000000000001e-07,
"loss": 5.6882,
"step": 49
},
{
"epoch": 0.06,
"learning_rate": 9.400000000000001e-07,
"loss": 5.5173,
"step": 50
},
{
"epoch": 0.06,
"learning_rate": 9.600000000000001e-07,
"loss": 4.5275,
"step": 51
},
{
"epoch": 0.06,
"learning_rate": 9.800000000000001e-07,
"loss": 4.6764,
"step": 52
},
{
"epoch": 0.06,
"learning_rate": 1.0000000000000002e-06,
"loss": 4.5496,
"step": 53
},
{
"epoch": 0.06,
"learning_rate": 1.02e-06,
"loss": 4.6228,
"step": 54
},
{
"epoch": 0.06,
"learning_rate": 1.04e-06,
"loss": 4.6146,
"step": 55
},
{
"epoch": 0.06,
"learning_rate": 1.06e-06,
"loss": 4.6572,
"step": 56
},
{
"epoch": 0.06,
"learning_rate": 1.08e-06,
"loss": 4.6467,
"step": 57
},
{
"epoch": 0.07,
"learning_rate": 1.1e-06,
"loss": 4.8707,
"step": 58
},
{
"epoch": 0.07,
"learning_rate": 1.12e-06,
"loss": 4.6247,
"step": 59
},
{
"epoch": 0.07,
"learning_rate": 1.14e-06,
"loss": 4.4728,
"step": 60
},
{
"epoch": 0.07,
"learning_rate": 1.1600000000000001e-06,
"loss": 4.6942,
"step": 61
},
{
"epoch": 0.07,
"learning_rate": 1.1800000000000001e-06,
"loss": 4.6197,
"step": 62
},
{
"epoch": 0.07,
"learning_rate": 1.2000000000000002e-06,
"loss": 4.5163,
"step": 63
},
{
"epoch": 0.07,
"learning_rate": 1.2200000000000002e-06,
"loss": 4.6636,
"step": 64
},
{
"epoch": 0.07,
"learning_rate": 1.2400000000000002e-06,
"loss": 4.417,
"step": 65
},
{
"epoch": 0.07,
"learning_rate": 1.26e-06,
"loss": 4.6925,
"step": 66
},
{
"epoch": 0.08,
"learning_rate": 1.28e-06,
"loss": 4.4826,
"step": 67
},
{
"epoch": 0.08,
"learning_rate": 1.3e-06,
"loss": 4.5045,
"step": 68
},
{
"epoch": 0.08,
"learning_rate": 1.32e-06,
"loss": 4.4526,
"step": 69
},
{
"epoch": 0.08,
"learning_rate": 1.34e-06,
"loss": 4.549,
"step": 70
},
{
"epoch": 0.08,
"learning_rate": 1.3600000000000001e-06,
"loss": 4.7282,
"step": 71
},
{
"epoch": 0.08,
"learning_rate": 1.3800000000000001e-06,
"loss": 4.6231,
"step": 72
},
{
"epoch": 0.08,
"learning_rate": 1.4000000000000001e-06,
"loss": 4.5543,
"step": 73
},
{
"epoch": 0.08,
"learning_rate": 1.42e-06,
"loss": 4.6324,
"step": 74
},
{
"epoch": 0.08,
"learning_rate": 1.44e-06,
"loss": 4.3796,
"step": 75
},
{
"epoch": 0.09,
"learning_rate": 1.46e-06,
"loss": 4.6923,
"step": 76
},
{
"epoch": 0.09,
"learning_rate": 1.48e-06,
"loss": 4.5589,
"step": 77
},
{
"epoch": 0.09,
"learning_rate": 1.5e-06,
"loss": 4.5119,
"step": 78
},
{
"epoch": 0.09,
"learning_rate": 1.52e-06,
"loss": 4.3468,
"step": 79
},
{
"epoch": 0.09,
"learning_rate": 1.54e-06,
"loss": 4.5559,
"step": 80
},
{
"epoch": 0.09,
"learning_rate": 1.56e-06,
"loss": 4.6462,
"step": 81
},
{
"epoch": 0.09,
"learning_rate": 1.5800000000000001e-06,
"loss": 4.4336,
"step": 82
},
{
"epoch": 0.09,
"learning_rate": 1.6000000000000001e-06,
"loss": 4.6163,
"step": 83
},
{
"epoch": 0.09,
"learning_rate": 1.6200000000000002e-06,
"loss": 4.5764,
"step": 84
},
{
"epoch": 0.1,
"learning_rate": 1.6400000000000002e-06,
"loss": 4.5511,
"step": 85
},
{
"epoch": 0.1,
"learning_rate": 1.6600000000000002e-06,
"loss": 4.4844,
"step": 86
},
{
"epoch": 0.1,
"learning_rate": 1.6800000000000002e-06,
"loss": 4.5007,
"step": 87
},
{
"epoch": 0.1,
"learning_rate": 1.7000000000000002e-06,
"loss": 4.4969,
"step": 88
},
{
"epoch": 0.1,
"learning_rate": 1.72e-06,
"loss": 4.562,
"step": 89
},
{
"epoch": 0.1,
"learning_rate": 1.74e-06,
"loss": 4.4187,
"step": 90
},
{
"epoch": 0.1,
"learning_rate": 1.76e-06,
"loss": 4.6965,
"step": 91
},
{
"epoch": 0.1,
"learning_rate": 1.7800000000000001e-06,
"loss": 4.6423,
"step": 92
},
{
"epoch": 0.1,
"learning_rate": 1.8000000000000001e-06,
"loss": 4.3469,
"step": 93
},
{
"epoch": 0.11,
"learning_rate": 1.8200000000000002e-06,
"loss": 4.5379,
"step": 94
},
{
"epoch": 0.11,
"learning_rate": 1.8400000000000002e-06,
"loss": 4.8062,
"step": 95
},
{
"epoch": 0.11,
"learning_rate": 1.8600000000000002e-06,
"loss": 4.7967,
"step": 96
},
{
"epoch": 0.11,
"learning_rate": 1.8800000000000002e-06,
"loss": 4.5775,
"step": 97
},
{
"epoch": 0.11,
"learning_rate": 1.9000000000000002e-06,
"loss": 4.8837,
"step": 98
},
{
"epoch": 0.11,
"learning_rate": 1.9200000000000003e-06,
"loss": 4.6492,
"step": 99
},
{
"epoch": 0.11,
"learning_rate": 1.94e-06,
"loss": 4.793,
"step": 100
},
{
"epoch": 0.11,
"learning_rate": 1.9600000000000003e-06,
"loss": 4.3603,
"step": 101
},
{
"epoch": 0.11,
"learning_rate": 1.98e-06,
"loss": 4.3455,
"step": 102
},
{
"epoch": 0.12,
"learning_rate": 2.0000000000000003e-06,
"loss": 4.5046,
"step": 103
},
{
"epoch": 0.12,
"learning_rate": 2.02e-06,
"loss": 4.409,
"step": 104
},
{
"epoch": 0.12,
"learning_rate": 2.04e-06,
"loss": 4.2052,
"step": 105
},
{
"epoch": 0.12,
"learning_rate": 2.06e-06,
"loss": 4.4774,
"step": 106
},
{
"epoch": 0.12,
"learning_rate": 2.08e-06,
"loss": 4.4239,
"step": 107
},
{
"epoch": 0.12,
"learning_rate": 2.1000000000000002e-06,
"loss": 4.5902,
"step": 108
},
{
"epoch": 0.12,
"learning_rate": 2.12e-06,
"loss": 4.1572,
"step": 109
},
{
"epoch": 0.12,
"learning_rate": 2.1400000000000003e-06,
"loss": 4.301,
"step": 110
},
{
"epoch": 0.12,
"learning_rate": 2.16e-06,
"loss": 4.5175,
"step": 111
},
{
"epoch": 0.13,
"learning_rate": 2.1800000000000003e-06,
"loss": 4.347,
"step": 112
},
{
"epoch": 0.13,
"learning_rate": 2.2e-06,
"loss": 4.3326,
"step": 113
},
{
"epoch": 0.13,
"learning_rate": 2.2200000000000003e-06,
"loss": 4.2646,
"step": 114
},
{
"epoch": 0.13,
"learning_rate": 2.24e-06,
"loss": 4.3175,
"step": 115
},
{
"epoch": 0.13,
"learning_rate": 2.2600000000000004e-06,
"loss": 4.1262,
"step": 116
},
{
"epoch": 0.13,
"learning_rate": 2.28e-06,
"loss": 4.4502,
"step": 117
},
{
"epoch": 0.13,
"learning_rate": 2.3000000000000004e-06,
"loss": 4.2503,
"step": 118
},
{
"epoch": 0.13,
"learning_rate": 2.3200000000000002e-06,
"loss": 4.4425,
"step": 119
},
{
"epoch": 0.13,
"learning_rate": 2.3400000000000005e-06,
"loss": 4.4808,
"step": 120
},
{
"epoch": 0.14,
"learning_rate": 2.3600000000000003e-06,
"loss": 4.4266,
"step": 121
},
{
"epoch": 0.14,
"learning_rate": 2.38e-06,
"loss": 4.3035,
"step": 122
},
{
"epoch": 0.14,
"learning_rate": 2.4000000000000003e-06,
"loss": 4.248,
"step": 123
},
{
"epoch": 0.14,
"learning_rate": 2.42e-06,
"loss": 4.4539,
"step": 124
},
{
"epoch": 0.14,
"learning_rate": 2.4400000000000004e-06,
"loss": 4.4127,
"step": 125
},
{
"epoch": 0.14,
"learning_rate": 2.46e-06,
"loss": 4.4468,
"step": 126
},
{
"epoch": 0.14,
"learning_rate": 2.4800000000000004e-06,
"loss": 4.5366,
"step": 127
},
{
"epoch": 0.14,
"learning_rate": 2.5e-06,
"loss": 4.3051,
"step": 128
},
{
"epoch": 0.14,
"learning_rate": 2.52e-06,
"loss": 4.2584,
"step": 129
},
{
"epoch": 0.15,
"learning_rate": 2.5400000000000002e-06,
"loss": 4.4583,
"step": 130
},
{
"epoch": 0.15,
"learning_rate": 2.56e-06,
"loss": 4.3395,
"step": 131
},
{
"epoch": 0.15,
"learning_rate": 2.5800000000000003e-06,
"loss": 4.4609,
"step": 132
},
{
"epoch": 0.15,
"learning_rate": 2.6e-06,
"loss": 4.3807,
"step": 133
},
{
"epoch": 0.15,
"learning_rate": 2.6200000000000003e-06,
"loss": 4.413,
"step": 134
},
{
"epoch": 0.15,
"learning_rate": 2.64e-06,
"loss": 4.2847,
"step": 135
},
{
"epoch": 0.15,
"learning_rate": 2.6600000000000004e-06,
"loss": 4.2995,
"step": 136
},
{
"epoch": 0.15,
"learning_rate": 2.68e-06,
"loss": 4.6835,
"step": 137
},
{
"epoch": 0.15,
"learning_rate": 2.7000000000000004e-06,
"loss": 4.4243,
"step": 138
},
{
"epoch": 0.16,
"learning_rate": 2.7200000000000002e-06,
"loss": 4.4537,
"step": 139
},
{
"epoch": 0.16,
"learning_rate": 2.7400000000000004e-06,
"loss": 4.2517,
"step": 140
},
{
"epoch": 0.16,
"learning_rate": 2.7600000000000003e-06,
"loss": 4.5315,
"step": 141
},
{
"epoch": 0.16,
"learning_rate": 2.7800000000000005e-06,
"loss": 4.6131,
"step": 142
},
{
"epoch": 0.16,
"learning_rate": 2.8000000000000003e-06,
"loss": 4.5349,
"step": 143
},
{
"epoch": 0.16,
"learning_rate": 2.82e-06,
"loss": 4.4707,
"step": 144
},
{
"epoch": 0.16,
"learning_rate": 2.84e-06,
"loss": 4.5458,
"step": 145
},
{
"epoch": 0.16,
"learning_rate": 2.86e-06,
"loss": 4.5764,
"step": 146
},
{
"epoch": 0.16,
"learning_rate": 2.88e-06,
"loss": 4.6713,
"step": 147
},
{
"epoch": 0.17,
"learning_rate": 2.9e-06,
"loss": 4.3646,
"step": 148
},
{
"epoch": 0.17,
"learning_rate": 2.92e-06,
"loss": 4.6639,
"step": 149
},
{
"epoch": 0.17,
"learning_rate": 2.9400000000000002e-06,
"loss": 4.3015,
"step": 150
},
{
"epoch": 0.17,
"learning_rate": 2.96e-06,
"loss": 4.4255,
"step": 151
},
{
"epoch": 0.17,
"learning_rate": 2.9800000000000003e-06,
"loss": 4.2821,
"step": 152
},
{
"epoch": 0.17,
"learning_rate": 3e-06,
"loss": 4.3454,
"step": 153
},
{
"epoch": 0.17,
"learning_rate": 3.0200000000000003e-06,
"loss": 4.2121,
"step": 154
},
{
"epoch": 0.17,
"learning_rate": 3.04e-06,
"loss": 4.1285,
"step": 155
},
{
"epoch": 0.17,
"learning_rate": 3.0600000000000003e-06,
"loss": 4.2772,
"step": 156
},
{
"epoch": 0.18,
"learning_rate": 3.08e-06,
"loss": 4.4278,
"step": 157
},
{
"epoch": 0.18,
"learning_rate": 3.1000000000000004e-06,
"loss": 4.5082,
"step": 158
},
{
"epoch": 0.18,
"learning_rate": 3.12e-06,
"loss": 4.5615,
"step": 159
},
{
"epoch": 0.18,
"learning_rate": 3.1400000000000004e-06,
"loss": 4.2509,
"step": 160
},
{
"epoch": 0.18,
"learning_rate": 3.1600000000000002e-06,
"loss": 4.2678,
"step": 161
},
{
"epoch": 0.18,
"learning_rate": 3.1800000000000005e-06,
"loss": 4.3571,
"step": 162
},
{
"epoch": 0.18,
"learning_rate": 3.2000000000000003e-06,
"loss": 4.2991,
"step": 163
},
{
"epoch": 0.18,
"learning_rate": 3.2200000000000005e-06,
"loss": 4.4275,
"step": 164
},
{
"epoch": 0.18,
"learning_rate": 3.2400000000000003e-06,
"loss": 4.3572,
"step": 165
},
{
"epoch": 0.19,
"learning_rate": 3.2600000000000006e-06,
"loss": 4.3648,
"step": 166
},
{
"epoch": 0.19,
"learning_rate": 3.2800000000000004e-06,
"loss": 4.3222,
"step": 167
},
{
"epoch": 0.19,
"learning_rate": 3.3000000000000006e-06,
"loss": 4.1074,
"step": 168
},
{
"epoch": 0.19,
"learning_rate": 3.3200000000000004e-06,
"loss": 4.095,
"step": 169
},
{
"epoch": 0.19,
"learning_rate": 3.3400000000000006e-06,
"loss": 4.2833,
"step": 170
},
{
"epoch": 0.19,
"learning_rate": 3.3600000000000004e-06,
"loss": 4.4821,
"step": 171
},
{
"epoch": 0.19,
"learning_rate": 3.3800000000000007e-06,
"loss": 4.3928,
"step": 172
},
{
"epoch": 0.19,
"learning_rate": 3.4000000000000005e-06,
"loss": 4.3295,
"step": 173
},
{
"epoch": 0.2,
"learning_rate": 3.4200000000000007e-06,
"loss": 4.1746,
"step": 174
},
{
"epoch": 0.2,
"learning_rate": 3.44e-06,
"loss": 4.3026,
"step": 175
},
{
"epoch": 0.2,
"learning_rate": 3.46e-06,
"loss": 4.124,
"step": 176
},
{
"epoch": 0.2,
"learning_rate": 3.48e-06,
"loss": 4.1713,
"step": 177
},
{
"epoch": 0.2,
"learning_rate": 3.5e-06,
"loss": 4.229,
"step": 178
},
{
"epoch": 0.2,
"learning_rate": 3.52e-06,
"loss": 4.3412,
"step": 179
},
{
"epoch": 0.2,
"learning_rate": 3.54e-06,
"loss": 4.3153,
"step": 180
},
{
"epoch": 0.2,
"learning_rate": 3.5600000000000002e-06,
"loss": 4.3678,
"step": 181
},
{
"epoch": 0.2,
"learning_rate": 3.58e-06,
"loss": 4.1591,
"step": 182
},
{
"epoch": 0.21,
"learning_rate": 3.6000000000000003e-06,
"loss": 4.396,
"step": 183
},
{
"epoch": 0.21,
"learning_rate": 3.62e-06,
"loss": 4.3347,
"step": 184
},
{
"epoch": 0.21,
"learning_rate": 3.6400000000000003e-06,
"loss": 4.361,
"step": 185
},
{
"epoch": 0.21,
"learning_rate": 3.66e-06,
"loss": 4.2574,
"step": 186
},
{
"epoch": 0.21,
"learning_rate": 3.6800000000000003e-06,
"loss": 4.4495,
"step": 187
},
{
"epoch": 0.21,
"learning_rate": 3.7e-06,
"loss": 4.1725,
"step": 188
},
{
"epoch": 0.21,
"learning_rate": 3.7200000000000004e-06,
"loss": 4.2552,
"step": 189
},
{
"epoch": 0.21,
"learning_rate": 3.74e-06,
"loss": 4.426,
"step": 190
},
{
"epoch": 0.21,
"learning_rate": 3.7600000000000004e-06,
"loss": 4.418,
"step": 191
},
{
"epoch": 0.22,
"learning_rate": 3.7800000000000002e-06,
"loss": 4.375,
"step": 192
},
{
"epoch": 0.22,
"learning_rate": 3.8000000000000005e-06,
"loss": 4.5633,
"step": 193
},
{
"epoch": 0.22,
"learning_rate": 3.820000000000001e-06,
"loss": 4.2975,
"step": 194
},
{
"epoch": 0.22,
"learning_rate": 3.8400000000000005e-06,
"loss": 4.3029,
"step": 195
},
{
"epoch": 0.22,
"learning_rate": 3.86e-06,
"loss": 4.5786,
"step": 196
},
{
"epoch": 0.22,
"learning_rate": 3.88e-06,
"loss": 4.5452,
"step": 197
},
{
"epoch": 0.22,
"learning_rate": 3.900000000000001e-06,
"loss": 4.536,
"step": 198
},
{
"epoch": 0.22,
"learning_rate": 3.920000000000001e-06,
"loss": 4.6819,
"step": 199
},
{
"epoch": 0.22,
"learning_rate": 3.94e-06,
"loss": 4.7643,
"step": 200
},
{
"epoch": 0.23,
"learning_rate": 3.96e-06,
"loss": 4.1518,
"step": 201
},
{
"epoch": 0.23,
"learning_rate": 3.980000000000001e-06,
"loss": 4.2455,
"step": 202
},
{
"epoch": 0.23,
"learning_rate": 4.000000000000001e-06,
"loss": 4.1358,
"step": 203
},
{
"epoch": 0.23,
"learning_rate": 4.0200000000000005e-06,
"loss": 4.1243,
"step": 204
},
{
"epoch": 0.23,
"learning_rate": 4.04e-06,
"loss": 4.0428,
"step": 205
},
{
"epoch": 0.23,
"learning_rate": 4.060000000000001e-06,
"loss": 4.1063,
"step": 206
},
{
"epoch": 0.23,
"learning_rate": 4.08e-06,
"loss": 4.2254,
"step": 207
},
{
"epoch": 0.23,
"learning_rate": 4.1e-06,
"loss": 4.0463,
"step": 208
},
{
"epoch": 0.23,
"learning_rate": 4.12e-06,
"loss": 4.2815,
"step": 209
},
{
"epoch": 0.24,
"learning_rate": 4.14e-06,
"loss": 4.2311,
"step": 210
},
{
"epoch": 0.24,
"learning_rate": 4.16e-06,
"loss": 4.1705,
"step": 211
},
{
"epoch": 0.24,
"learning_rate": 4.18e-06,
"loss": 4.2728,
"step": 212
},
{
"epoch": 0.24,
"learning_rate": 4.2000000000000004e-06,
"loss": 4.248,
"step": 213
},
{
"epoch": 0.24,
"learning_rate": 4.22e-06,
"loss": 4.3013,
"step": 214
},
{
"epoch": 0.24,
"learning_rate": 4.24e-06,
"loss": 4.1759,
"step": 215
},
{
"epoch": 0.24,
"learning_rate": 4.26e-06,
"loss": 4.3035,
"step": 216
},
{
"epoch": 0.24,
"learning_rate": 4.2800000000000005e-06,
"loss": 4.2697,
"step": 217
},
{
"epoch": 0.24,
"learning_rate": 4.3e-06,
"loss": 4.1918,
"step": 218
},
{
"epoch": 0.25,
"learning_rate": 4.32e-06,
"loss": 4.2817,
"step": 219
},
{
"epoch": 0.25,
"learning_rate": 4.34e-06,
"loss": 4.2502,
"step": 220
},
{
"epoch": 0.25,
"learning_rate": 4.360000000000001e-06,
"loss": 4.2403,
"step": 221
},
{
"epoch": 0.25,
"learning_rate": 4.38e-06,
"loss": 4.2914,
"step": 222
},
{
"epoch": 0.25,
"learning_rate": 4.4e-06,
"loss": 4.3498,
"step": 223
},
{
"epoch": 0.25,
"learning_rate": 4.42e-06,
"loss": 4.2636,
"step": 224
},
{
"epoch": 0.25,
"learning_rate": 4.440000000000001e-06,
"loss": 4.3429,
"step": 225
},
{
"epoch": 0.25,
"learning_rate": 4.4600000000000005e-06,
"loss": 4.508,
"step": 226
},
{
"epoch": 0.25,
"learning_rate": 4.48e-06,
"loss": 4.2465,
"step": 227
},
{
"epoch": 0.26,
"learning_rate": 4.5e-06,
"loss": 4.1636,
"step": 228
},
{
"epoch": 0.26,
"learning_rate": 4.520000000000001e-06,
"loss": 4.1575,
"step": 229
},
{
"epoch": 0.26,
"learning_rate": 4.540000000000001e-06,
"loss": 4.254,
"step": 230
},
{
"epoch": 0.26,
"learning_rate": 4.56e-06,
"loss": 4.21,
"step": 231
},
{
"epoch": 0.26,
"learning_rate": 4.58e-06,
"loss": 4.3432,
"step": 232
},
{
"epoch": 0.26,
"learning_rate": 4.600000000000001e-06,
"loss": 4.2356,
"step": 233
},
{
"epoch": 0.26,
"learning_rate": 4.620000000000001e-06,
"loss": 4.3205,
"step": 234
},
{
"epoch": 0.26,
"learning_rate": 4.6400000000000005e-06,
"loss": 4.4007,
"step": 235
},
{
"epoch": 0.26,
"learning_rate": 4.66e-06,
"loss": 4.2438,
"step": 236
},
{
"epoch": 0.27,
"learning_rate": 4.680000000000001e-06,
"loss": 4.2833,
"step": 237
},
{
"epoch": 0.27,
"learning_rate": 4.7e-06,
"loss": 4.469,
"step": 238
},
{
"epoch": 0.27,
"learning_rate": 4.7200000000000005e-06,
"loss": 4.2948,
"step": 239
},
{
"epoch": 0.27,
"learning_rate": 4.74e-06,
"loss": 4.3899,
"step": 240
},
{
"epoch": 0.27,
"learning_rate": 4.76e-06,
"loss": 4.3733,
"step": 241
},
{
"epoch": 0.27,
"learning_rate": 4.78e-06,
"loss": 4.5385,
"step": 242
},
{
"epoch": 0.27,
"learning_rate": 4.800000000000001e-06,
"loss": 4.3879,
"step": 243
},
{
"epoch": 0.27,
"learning_rate": 4.8200000000000004e-06,
"loss": 4.3414,
"step": 244
},
{
"epoch": 0.27,
"learning_rate": 4.84e-06,
"loss": 4.5273,
"step": 245
},
{
"epoch": 0.28,
"learning_rate": 4.86e-06,
"loss": 4.4047,
"step": 246
},
{
"epoch": 0.28,
"learning_rate": 4.880000000000001e-06,
"loss": 4.7717,
"step": 247
},
{
"epoch": 0.28,
"learning_rate": 4.9000000000000005e-06,
"loss": 4.7985,
"step": 248
},
{
"epoch": 0.28,
"learning_rate": 4.92e-06,
"loss": 4.6015,
"step": 249
},
{
"epoch": 0.28,
"learning_rate": 4.94e-06,
"loss": 4.2719,
"step": 250
},
{
"epoch": 0.28,
"learning_rate": 4.960000000000001e-06,
"loss": 4.4124,
"step": 251
},
{
"epoch": 0.28,
"learning_rate": 4.980000000000001e-06,
"loss": 4.1304,
"step": 252
},
{
"epoch": 0.28,
"learning_rate": 5e-06,
"loss": 4.1539,
"step": 253
},
{
"epoch": 0.28,
"learning_rate": 5.02e-06,
"loss": 4.312,
"step": 254
},
{
"epoch": 0.29,
"learning_rate": 5.04e-06,
"loss": 4.1491,
"step": 255
},
{
"epoch": 0.29,
"learning_rate": 5.060000000000001e-06,
"loss": 4.1523,
"step": 256
},
{
"epoch": 0.29,
"learning_rate": 5.0800000000000005e-06,
"loss": 4.3502,
"step": 257
},
{
"epoch": 0.29,
"learning_rate": 5.1e-06,
"loss": 4.1693,
"step": 258
},
{
"epoch": 0.29,
"learning_rate": 5.12e-06,
"loss": 4.1367,
"step": 259
},
{
"epoch": 0.29,
"learning_rate": 5.140000000000001e-06,
"loss": 4.2931,
"step": 260
},
{
"epoch": 0.29,
"learning_rate": 5.1600000000000006e-06,
"loss": 4.3277,
"step": 261
},
{
"epoch": 0.29,
"learning_rate": 5.18e-06,
"loss": 4.0501,
"step": 262
},
{
"epoch": 0.29,
"learning_rate": 5.2e-06,
"loss": 4.1875,
"step": 263
},
{
"epoch": 0.3,
"learning_rate": 5.220000000000001e-06,
"loss": 4.1807,
"step": 264
},
{
"epoch": 0.3,
"learning_rate": 5.240000000000001e-06,
"loss": 4.3104,
"step": 265
},
{
"epoch": 0.3,
"learning_rate": 5.2600000000000005e-06,
"loss": 4.3502,
"step": 266
},
{
"epoch": 0.3,
"learning_rate": 5.28e-06,
"loss": 4.1756,
"step": 267
},
{
"epoch": 0.3,
"learning_rate": 5.300000000000001e-06,
"loss": 4.5134,
"step": 268
},
{
"epoch": 0.3,
"learning_rate": 5.320000000000001e-06,
"loss": 4.2337,
"step": 269
},
{
"epoch": 0.3,
"learning_rate": 5.3400000000000005e-06,
"loss": 4.3884,
"step": 270
},
{
"epoch": 0.3,
"learning_rate": 5.36e-06,
"loss": 3.9959,
"step": 271
},
{
"epoch": 0.3,
"learning_rate": 5.380000000000001e-06,
"loss": 4.1411,
"step": 272
},
{
"epoch": 0.31,
"learning_rate": 5.400000000000001e-06,
"loss": 4.1706,
"step": 273
},
{
"epoch": 0.31,
"learning_rate": 5.420000000000001e-06,
"loss": 4.0933,
"step": 274
},
{
"epoch": 0.31,
"learning_rate": 5.4400000000000004e-06,
"loss": 4.3469,
"step": 275
},
{
"epoch": 0.31,
"learning_rate": 5.460000000000001e-06,
"loss": 4.261,
"step": 276
},
{
"epoch": 0.31,
"learning_rate": 5.480000000000001e-06,
"loss": 4.2084,
"step": 277
},
{
"epoch": 0.31,
"learning_rate": 5.500000000000001e-06,
"loss": 4.1839,
"step": 278
},
{
"epoch": 0.31,
"learning_rate": 5.5200000000000005e-06,
"loss": 4.1806,
"step": 279
},
{
"epoch": 0.31,
"learning_rate": 5.540000000000001e-06,
"loss": 4.3312,
"step": 280
},
{
"epoch": 0.32,
"learning_rate": 5.560000000000001e-06,
"loss": 4.1195,
"step": 281
},
{
"epoch": 0.32,
"learning_rate": 5.580000000000001e-06,
"loss": 4.2436,
"step": 282
},
{
"epoch": 0.32,
"learning_rate": 5.600000000000001e-06,
"loss": 4.015,
"step": 283
},
{
"epoch": 0.32,
"learning_rate": 5.620000000000001e-06,
"loss": 4.2216,
"step": 284
},
{
"epoch": 0.32,
"learning_rate": 5.64e-06,
"loss": 4.3188,
"step": 285
},
{
"epoch": 0.32,
"learning_rate": 5.66e-06,
"loss": 4.2283,
"step": 286
},
{
"epoch": 0.32,
"learning_rate": 5.68e-06,
"loss": 4.3774,
"step": 287
},
{
"epoch": 0.32,
"learning_rate": 5.7e-06,
"loss": 4.3359,
"step": 288
},
{
"epoch": 0.32,
"learning_rate": 5.72e-06,
"loss": 4.3876,
"step": 289
},
{
"epoch": 0.33,
"learning_rate": 5.74e-06,
"loss": 4.376,
"step": 290
},
{
"epoch": 0.33,
"learning_rate": 5.76e-06,
"loss": 4.3976,
"step": 291
},
{
"epoch": 0.33,
"learning_rate": 5.78e-06,
"loss": 4.2478,
"step": 292
},
{
"epoch": 0.33,
"learning_rate": 5.8e-06,
"loss": 4.3192,
"step": 293
},
{
"epoch": 0.33,
"learning_rate": 5.82e-06,
"loss": 4.3107,
"step": 294
},
{
"epoch": 0.33,
"learning_rate": 5.84e-06,
"loss": 4.209,
"step": 295
},
{
"epoch": 0.33,
"learning_rate": 5.86e-06,
"loss": 4.4595,
"step": 296
},
{
"epoch": 0.33,
"learning_rate": 5.8800000000000005e-06,
"loss": 4.6001,
"step": 297
},
{
"epoch": 0.33,
"learning_rate": 5.9e-06,
"loss": 4.3936,
"step": 298
},
{
"epoch": 0.34,
"learning_rate": 5.92e-06,
"loss": 4.8057,
"step": 299
},
{
"epoch": 0.34,
"learning_rate": 5.94e-06,
"loss": 4.8243,
"step": 300
},
{
"epoch": 0.34,
"learning_rate": 5.9600000000000005e-06,
"loss": 4.0976,
"step": 301
},
{
"epoch": 0.34,
"learning_rate": 5.98e-06,
"loss": 4.2088,
"step": 302
},
{
"epoch": 0.34,
"learning_rate": 6e-06,
"loss": 4.1036,
"step": 303
},
{
"epoch": 0.34,
"learning_rate": 6.02e-06,
"loss": 4.2705,
"step": 304
},
{
"epoch": 0.34,
"learning_rate": 6.040000000000001e-06,
"loss": 4.0958,
"step": 305
},
{
"epoch": 0.34,
"learning_rate": 6.0600000000000004e-06,
"loss": 4.1564,
"step": 306
},
{
"epoch": 0.34,
"learning_rate": 6.08e-06,
"loss": 4.1811,
"step": 307
},
{
"epoch": 0.35,
"learning_rate": 6.1e-06,
"loss": 4.2724,
"step": 308
},
{
"epoch": 0.35,
"learning_rate": 6.120000000000001e-06,
"loss": 4.189,
"step": 309
},
{
"epoch": 0.35,
"learning_rate": 6.1400000000000005e-06,
"loss": 4.3119,
"step": 310
},
{
"epoch": 0.35,
"learning_rate": 6.16e-06,
"loss": 4.383,
"step": 311
},
{
"epoch": 0.35,
"learning_rate": 6.18e-06,
"loss": 4.338,
"step": 312
},
{
"epoch": 0.35,
"learning_rate": 6.200000000000001e-06,
"loss": 4.2291,
"step": 313
},
{
"epoch": 0.35,
"learning_rate": 6.220000000000001e-06,
"loss": 4.2739,
"step": 314
},
{
"epoch": 0.35,
"learning_rate": 6.24e-06,
"loss": 4.1138,
"step": 315
},
{
"epoch": 0.35,
"learning_rate": 6.26e-06,
"loss": 4.2754,
"step": 316
},
{
"epoch": 0.36,
"learning_rate": 6.280000000000001e-06,
"loss": 4.1274,
"step": 317
},
{
"epoch": 0.36,
"learning_rate": 6.300000000000001e-06,
"loss": 4.1402,
"step": 318
},
{
"epoch": 0.36,
"learning_rate": 6.3200000000000005e-06,
"loss": 4.2526,
"step": 319
},
{
"epoch": 0.36,
"learning_rate": 6.34e-06,
"loss": 4.18,
"step": 320
},
{
"epoch": 0.36,
"learning_rate": 6.360000000000001e-06,
"loss": 4.286,
"step": 321
},
{
"epoch": 0.36,
"learning_rate": 6.380000000000001e-06,
"loss": 4.1926,
"step": 322
},
{
"epoch": 0.36,
"learning_rate": 6.4000000000000006e-06,
"loss": 4.1269,
"step": 323
},
{
"epoch": 0.36,
"learning_rate": 6.42e-06,
"loss": 4.3107,
"step": 324
},
{
"epoch": 0.36,
"learning_rate": 6.440000000000001e-06,
"loss": 4.3192,
"step": 325
},
{
"epoch": 0.37,
"learning_rate": 6.460000000000001e-06,
"loss": 4.3081,
"step": 326
},
{
"epoch": 0.37,
"learning_rate": 6.480000000000001e-06,
"loss": 4.194,
"step": 327
},
{
"epoch": 0.37,
"learning_rate": 6.5000000000000004e-06,
"loss": 4.1803,
"step": 328
},
{
"epoch": 0.37,
"learning_rate": 6.520000000000001e-06,
"loss": 4.3525,
"step": 329
},
{
"epoch": 0.37,
"learning_rate": 6.540000000000001e-06,
"loss": 4.3741,
"step": 330
},
{
"epoch": 0.37,
"learning_rate": 6.560000000000001e-06,
"loss": 4.224,
"step": 331
},
{
"epoch": 0.37,
"learning_rate": 6.5800000000000005e-06,
"loss": 4.2272,
"step": 332
},
{
"epoch": 0.37,
"learning_rate": 6.600000000000001e-06,
"loss": 4.2663,
"step": 333
},
{
"epoch": 0.37,
"learning_rate": 6.620000000000001e-06,
"loss": 4.2808,
"step": 334
},
{
"epoch": 0.38,
"learning_rate": 6.640000000000001e-06,
"loss": 4.4152,
"step": 335
},
{
"epoch": 0.38,
"learning_rate": 6.660000000000001e-06,
"loss": 4.1882,
"step": 336
},
{
"epoch": 0.38,
"learning_rate": 6.680000000000001e-06,
"loss": 4.0873,
"step": 337
},
{
"epoch": 0.38,
"learning_rate": 6.700000000000001e-06,
"loss": 4.3547,
"step": 338
},
{
"epoch": 0.38,
"learning_rate": 6.720000000000001e-06,
"loss": 4.1204,
"step": 339
},
{
"epoch": 0.38,
"learning_rate": 6.740000000000001e-06,
"loss": 4.2857,
"step": 340
},
{
"epoch": 0.38,
"learning_rate": 6.760000000000001e-06,
"loss": 4.1946,
"step": 341
},
{
"epoch": 0.38,
"learning_rate": 6.780000000000001e-06,
"loss": 4.3246,
"step": 342
},
{
"epoch": 0.38,
"learning_rate": 6.800000000000001e-06,
"loss": 4.2954,
"step": 343
},
{
"epoch": 0.39,
"learning_rate": 6.820000000000001e-06,
"loss": 4.3643,
"step": 344
},
{
"epoch": 0.39,
"learning_rate": 6.8400000000000014e-06,
"loss": 4.3764,
"step": 345
},
{
"epoch": 0.39,
"learning_rate": 6.860000000000001e-06,
"loss": 4.5745,
"step": 346
},
{
"epoch": 0.39,
"learning_rate": 6.88e-06,
"loss": 4.38,
"step": 347
},
{
"epoch": 0.39,
"learning_rate": 6.9e-06,
"loss": 4.445,
"step": 348
},
{
"epoch": 0.39,
"learning_rate": 6.92e-06,
"loss": 4.6395,
"step": 349
},
{
"epoch": 0.39,
"learning_rate": 6.9400000000000005e-06,
"loss": 4.4864,
"step": 350
},
{
"epoch": 0.39,
"learning_rate": 6.96e-06,
"loss": 4.2038,
"step": 351
},
{
"epoch": 0.39,
"learning_rate": 6.98e-06,
"loss": 4.216,
"step": 352
},
{
"epoch": 0.4,
"learning_rate": 7e-06,
"loss": 4.1771,
"step": 353
},
{
"epoch": 0.4,
"learning_rate": 7.0200000000000006e-06,
"loss": 4.1654,
"step": 354
},
{
"epoch": 0.4,
"learning_rate": 7.04e-06,
"loss": 4.2884,
"step": 355
},
{
"epoch": 0.4,
"learning_rate": 7.06e-06,
"loss": 4.0349,
"step": 356
},
{
"epoch": 0.4,
"learning_rate": 7.08e-06,
"loss": 4.119,
"step": 357
},
{
"epoch": 0.4,
"learning_rate": 7.100000000000001e-06,
"loss": 4.1833,
"step": 358
},
{
"epoch": 0.4,
"learning_rate": 7.1200000000000004e-06,
"loss": 4.1186,
"step": 359
},
{
"epoch": 0.4,
"learning_rate": 7.14e-06,
"loss": 4.3081,
"step": 360
},
{
"epoch": 0.4,
"learning_rate": 7.16e-06,
"loss": 4.1604,
"step": 361
},
{
"epoch": 0.41,
"learning_rate": 7.180000000000001e-06,
"loss": 4.162,
"step": 362
},
{
"epoch": 0.41,
"learning_rate": 7.2000000000000005e-06,
"loss": 4.0856,
"step": 363
},
{
"epoch": 0.41,
"learning_rate": 7.22e-06,
"loss": 4.3203,
"step": 364
},
{
"epoch": 0.41,
"learning_rate": 7.24e-06,
"loss": 4.0565,
"step": 365
},
{
"epoch": 0.41,
"learning_rate": 7.260000000000001e-06,
"loss": 4.1779,
"step": 366
},
{
"epoch": 0.41,
"learning_rate": 7.280000000000001e-06,
"loss": 4.1172,
"step": 367
},
{
"epoch": 0.41,
"learning_rate": 7.3e-06,
"loss": 4.2462,
"step": 368
},
{
"epoch": 0.41,
"learning_rate": 7.32e-06,
"loss": 4.281,
"step": 369
},
{
"epoch": 0.41,
"learning_rate": 7.340000000000001e-06,
"loss": 4.3191,
"step": 370
},
{
"epoch": 0.42,
"learning_rate": 7.360000000000001e-06,
"loss": 4.1227,
"step": 371
},
{
"epoch": 0.42,
"learning_rate": 7.3800000000000005e-06,
"loss": 4.4071,
"step": 372
},
{
"epoch": 0.42,
"learning_rate": 7.4e-06,
"loss": 4.1831,
"step": 373
},
{
"epoch": 0.42,
"learning_rate": 7.420000000000001e-06,
"loss": 4.2501,
"step": 374
},
{
"epoch": 0.42,
"learning_rate": 7.440000000000001e-06,
"loss": 4.1389,
"step": 375
},
{
"epoch": 0.42,
"learning_rate": 7.4600000000000006e-06,
"loss": 4.2473,
"step": 376
},
{
"epoch": 0.42,
"learning_rate": 7.48e-06,
"loss": 3.9824,
"step": 377
},
{
"epoch": 0.42,
"learning_rate": 7.500000000000001e-06,
"loss": 4.3072,
"step": 378
},
{
"epoch": 0.42,
"learning_rate": 7.520000000000001e-06,
"loss": 4.2326,
"step": 379
},
{
"epoch": 0.43,
"learning_rate": 7.540000000000001e-06,
"loss": 4.321,
"step": 380
},
{
"epoch": 0.43,
"learning_rate": 7.5600000000000005e-06,
"loss": 4.2838,
"step": 381
},
{
"epoch": 0.43,
"learning_rate": 7.58e-06,
"loss": 4.2274,
"step": 382
},
{
"epoch": 0.43,
"learning_rate": 7.600000000000001e-06,
"loss": 4.2623,
"step": 383
},
{
"epoch": 0.43,
"learning_rate": 7.620000000000001e-06,
"loss": 4.2464,
"step": 384
},
{
"epoch": 0.43,
"learning_rate": 7.640000000000001e-06,
"loss": 4.1796,
"step": 385
},
{
"epoch": 0.43,
"learning_rate": 7.660000000000001e-06,
"loss": 4.2227,
"step": 386
},
{
"epoch": 0.43,
"learning_rate": 7.680000000000001e-06,
"loss": 4.1394,
"step": 387
},
{
"epoch": 0.43,
"learning_rate": 7.7e-06,
"loss": 4.0276,
"step": 388
},
{
"epoch": 0.44,
"learning_rate": 7.72e-06,
"loss": 4.2015,
"step": 389
},
{
"epoch": 0.44,
"learning_rate": 7.74e-06,
"loss": 4.3076,
"step": 390
},
{
"epoch": 0.44,
"learning_rate": 7.76e-06,
"loss": 4.386,
"step": 391
},
{
"epoch": 0.44,
"learning_rate": 7.78e-06,
"loss": 4.0228,
"step": 392
},
{
"epoch": 0.44,
"learning_rate": 7.800000000000002e-06,
"loss": 4.2193,
"step": 393
},
{
"epoch": 0.44,
"learning_rate": 7.820000000000001e-06,
"loss": 4.3488,
"step": 394
},
{
"epoch": 0.44,
"learning_rate": 7.840000000000001e-06,
"loss": 4.466,
"step": 395
},
{
"epoch": 0.44,
"learning_rate": 7.860000000000001e-06,
"loss": 4.2375,
"step": 396
},
{
"epoch": 0.45,
"learning_rate": 7.88e-06,
"loss": 4.2363,
"step": 397
},
{
"epoch": 0.45,
"learning_rate": 7.9e-06,
"loss": 4.7711,
"step": 398
},
{
"epoch": 0.45,
"learning_rate": 7.92e-06,
"loss": 4.4802,
"step": 399
},
{
"epoch": 0.45,
"learning_rate": 7.94e-06,
"loss": 4.5695,
"step": 400
},
{
"epoch": 0.45,
"learning_rate": 7.960000000000002e-06,
"loss": 4.29,
"step": 401
},
{
"epoch": 0.45,
"learning_rate": 7.980000000000002e-06,
"loss": 4.1424,
"step": 402
},
{
"epoch": 0.45,
"learning_rate": 8.000000000000001e-06,
"loss": 4.2243,
"step": 403
},
{
"epoch": 0.45,
"learning_rate": 8.020000000000001e-06,
"loss": 4.1423,
"step": 404
},
{
"epoch": 0.45,
"learning_rate": 8.040000000000001e-06,
"loss": 4.3115,
"step": 405
},
{
"epoch": 0.46,
"learning_rate": 8.06e-06,
"loss": 4.198,
"step": 406
},
{
"epoch": 0.46,
"learning_rate": 8.08e-06,
"loss": 4.2142,
"step": 407
},
{
"epoch": 0.46,
"learning_rate": 8.1e-06,
"loss": 4.1048,
"step": 408
},
{
"epoch": 0.46,
"learning_rate": 8.120000000000002e-06,
"loss": 4.2956,
"step": 409
},
{
"epoch": 0.46,
"learning_rate": 8.14e-06,
"loss": 4.2151,
"step": 410
},
{
"epoch": 0.46,
"learning_rate": 8.16e-06,
"loss": 4.0979,
"step": 411
},
{
"epoch": 0.46,
"learning_rate": 8.18e-06,
"loss": 4.2008,
"step": 412
},
{
"epoch": 0.46,
"learning_rate": 8.2e-06,
"loss": 4.2033,
"step": 413
},
{
"epoch": 0.46,
"learning_rate": 8.220000000000001e-06,
"loss": 4.0824,
"step": 414
},
{
"epoch": 0.47,
"learning_rate": 8.24e-06,
"loss": 4.0744,
"step": 415
},
{
"epoch": 0.47,
"learning_rate": 8.26e-06,
"loss": 4.3098,
"step": 416
},
{
"epoch": 0.47,
"learning_rate": 8.28e-06,
"loss": 4.11,
"step": 417
},
{
"epoch": 0.47,
"learning_rate": 8.3e-06,
"loss": 4.2412,
"step": 418
},
{
"epoch": 0.47,
"learning_rate": 8.32e-06,
"loss": 4.1749,
"step": 419
},
{
"epoch": 0.47,
"learning_rate": 8.34e-06,
"loss": 4.2086,
"step": 420
},
{
"epoch": 0.47,
"learning_rate": 8.36e-06,
"loss": 4.2794,
"step": 421
},
{
"epoch": 0.47,
"learning_rate": 8.380000000000001e-06,
"loss": 4.2946,
"step": 422
},
{
"epoch": 0.47,
"learning_rate": 8.400000000000001e-06,
"loss": 4.2214,
"step": 423
},
{
"epoch": 0.48,
"learning_rate": 8.42e-06,
"loss": 4.2226,
"step": 424
},
{
"epoch": 0.48,
"learning_rate": 8.44e-06,
"loss": 4.2759,
"step": 425
},
{
"epoch": 0.48,
"learning_rate": 8.46e-06,
"loss": 4.3037,
"step": 426
},
{
"epoch": 0.48,
"learning_rate": 8.48e-06,
"loss": 4.1417,
"step": 427
},
{
"epoch": 0.48,
"learning_rate": 8.5e-06,
"loss": 4.3808,
"step": 428
},
{
"epoch": 0.48,
"learning_rate": 8.52e-06,
"loss": 4.1689,
"step": 429
},
{
"epoch": 0.48,
"learning_rate": 8.540000000000001e-06,
"loss": 4.3288,
"step": 430
},
{
"epoch": 0.48,
"learning_rate": 8.560000000000001e-06,
"loss": 4.4165,
"step": 431
},
{
"epoch": 0.48,
"learning_rate": 8.580000000000001e-06,
"loss": 4.2614,
"step": 432
},
{
"epoch": 0.49,
"learning_rate": 8.6e-06,
"loss": 3.9755,
"step": 433
},
{
"epoch": 0.49,
"learning_rate": 8.62e-06,
"loss": 4.2045,
"step": 434
},
{
"epoch": 0.49,
"learning_rate": 8.64e-06,
"loss": 4.1692,
"step": 435
},
{
"epoch": 0.49,
"learning_rate": 8.66e-06,
"loss": 4.4135,
"step": 436
},
{
"epoch": 0.49,
"learning_rate": 8.68e-06,
"loss": 4.4173,
"step": 437
},
{
"epoch": 0.49,
"learning_rate": 8.700000000000001e-06,
"loss": 4.2981,
"step": 438
},
{
"epoch": 0.49,
"learning_rate": 8.720000000000001e-06,
"loss": 4.1147,
"step": 439
},
{
"epoch": 0.49,
"learning_rate": 8.740000000000001e-06,
"loss": 4.1698,
"step": 440
},
{
"epoch": 0.49,
"learning_rate": 8.76e-06,
"loss": 4.3496,
"step": 441
},
{
"epoch": 0.5,
"learning_rate": 8.78e-06,
"loss": 4.2193,
"step": 442
},
{
"epoch": 0.5,
"learning_rate": 8.8e-06,
"loss": 4.2942,
"step": 443
},
{
"epoch": 0.5,
"learning_rate": 8.82e-06,
"loss": 4.4609,
"step": 444
},
{
"epoch": 0.5,
"learning_rate": 8.84e-06,
"loss": 4.2708,
"step": 445
},
{
"epoch": 0.5,
"learning_rate": 8.860000000000002e-06,
"loss": 4.1075,
"step": 446
},
{
"epoch": 0.5,
"learning_rate": 8.880000000000001e-06,
"loss": 4.3124,
"step": 447
},
{
"epoch": 0.5,
"learning_rate": 8.900000000000001e-06,
"loss": 4.3807,
"step": 448
},
{
"epoch": 0.5,
"learning_rate": 8.920000000000001e-06,
"loss": 4.3406,
"step": 449
},
{
"epoch": 0.5,
"learning_rate": 8.94e-06,
"loss": 4.8661,
"step": 450
},
{
"epoch": 0.51,
"learning_rate": 8.96e-06,
"loss": 4.2218,
"step": 451
},
{
"epoch": 0.51,
"learning_rate": 8.98e-06,
"loss": 4.205,
"step": 452
},
{
"epoch": 0.51,
"learning_rate": 9e-06,
"loss": 4.3621,
"step": 453
},
{
"epoch": 0.51,
"learning_rate": 9.020000000000002e-06,
"loss": 4.0638,
"step": 454
},
{
"epoch": 0.51,
"learning_rate": 9.040000000000002e-06,
"loss": 4.3311,
"step": 455
},
{
"epoch": 0.51,
"learning_rate": 9.060000000000001e-06,
"loss": 4.258,
"step": 456
},
{
"epoch": 0.51,
"learning_rate": 9.080000000000001e-06,
"loss": 4.2222,
"step": 457
},
{
"epoch": 0.51,
"learning_rate": 9.100000000000001e-06,
"loss": 4.1564,
"step": 458
},
{
"epoch": 0.51,
"learning_rate": 9.12e-06,
"loss": 4.1892,
"step": 459
},
{
"epoch": 0.52,
"learning_rate": 9.14e-06,
"loss": 4.3413,
"step": 460
},
{
"epoch": 0.52,
"learning_rate": 9.16e-06,
"loss": 4.102,
"step": 461
},
{
"epoch": 0.52,
"learning_rate": 9.180000000000002e-06,
"loss": 4.147,
"step": 462
},
{
"epoch": 0.52,
"learning_rate": 9.200000000000002e-06,
"loss": 4.1742,
"step": 463
},
{
"epoch": 0.52,
"learning_rate": 9.220000000000002e-06,
"loss": 4.1108,
"step": 464
},
{
"epoch": 0.52,
"learning_rate": 9.240000000000001e-06,
"loss": 4.1886,
"step": 465
},
{
"epoch": 0.52,
"learning_rate": 9.260000000000001e-06,
"loss": 4.2129,
"step": 466
},
{
"epoch": 0.52,
"learning_rate": 9.280000000000001e-06,
"loss": 4.1751,
"step": 467
},
{
"epoch": 0.52,
"learning_rate": 9.3e-06,
"loss": 4.0679,
"step": 468
},
{
"epoch": 0.53,
"learning_rate": 9.32e-06,
"loss": 4.1051,
"step": 469
},
{
"epoch": 0.53,
"learning_rate": 9.340000000000002e-06,
"loss": 4.2847,
"step": 470
},
{
"epoch": 0.53,
"learning_rate": 9.360000000000002e-06,
"loss": 4.0783,
"step": 471
},
{
"epoch": 0.53,
"learning_rate": 9.38e-06,
"loss": 4.074,
"step": 472
},
{
"epoch": 0.53,
"learning_rate": 9.4e-06,
"loss": 4.1647,
"step": 473
},
{
"epoch": 0.53,
"learning_rate": 9.42e-06,
"loss": 4.2346,
"step": 474
},
{
"epoch": 0.53,
"learning_rate": 9.440000000000001e-06,
"loss": 4.1901,
"step": 475
},
{
"epoch": 0.53,
"learning_rate": 9.460000000000001e-06,
"loss": 4.2477,
"step": 476
},
{
"epoch": 0.53,
"learning_rate": 9.48e-06,
"loss": 4.4027,
"step": 477
},
{
"epoch": 0.54,
"learning_rate": 9.5e-06,
"loss": 4.1196,
"step": 478
},
{
"epoch": 0.54,
"learning_rate": 9.52e-06,
"loss": 3.9847,
"step": 479
},
{
"epoch": 0.54,
"learning_rate": 9.54e-06,
"loss": 4.2909,
"step": 480
},
{
"epoch": 0.54,
"learning_rate": 9.56e-06,
"loss": 4.1164,
"step": 481
},
{
"epoch": 0.54,
"learning_rate": 9.58e-06,
"loss": 4.0756,
"step": 482
},
{
"epoch": 0.54,
"learning_rate": 9.600000000000001e-06,
"loss": 4.2811,
"step": 483
},
{
"epoch": 0.54,
"learning_rate": 9.620000000000001e-06,
"loss": 4.1496,
"step": 484
},
{
"epoch": 0.54,
"learning_rate": 9.640000000000001e-06,
"loss": 4.3244,
"step": 485
},
{
"epoch": 0.54,
"learning_rate": 9.66e-06,
"loss": 4.1365,
"step": 486
},
{
"epoch": 0.55,
"learning_rate": 9.68e-06,
"loss": 4.0356,
"step": 487
},
{
"epoch": 0.55,
"learning_rate": 9.7e-06,
"loss": 4.1874,
"step": 488
},
{
"epoch": 0.55,
"learning_rate": 9.72e-06,
"loss": 4.2132,
"step": 489
},
{
"epoch": 0.55,
"learning_rate": 9.74e-06,
"loss": 4.2876,
"step": 490
},
{
"epoch": 0.55,
"learning_rate": 9.760000000000001e-06,
"loss": 4.1096,
"step": 491
},
{
"epoch": 0.55,
"learning_rate": 9.780000000000001e-06,
"loss": 4.3891,
"step": 492
},
{
"epoch": 0.55,
"learning_rate": 9.800000000000001e-06,
"loss": 4.4212,
"step": 493
},
{
"epoch": 0.55,
"learning_rate": 9.820000000000001e-06,
"loss": 4.2193,
"step": 494
},
{
"epoch": 0.55,
"learning_rate": 9.84e-06,
"loss": 4.3731,
"step": 495
},
{
"epoch": 0.56,
"learning_rate": 9.86e-06,
"loss": 4.153,
"step": 496
},
{
"epoch": 0.56,
"learning_rate": 9.88e-06,
"loss": 4.1048,
"step": 497
},
{
"epoch": 0.56,
"learning_rate": 9.9e-06,
"loss": 4.7646,
"step": 498
},
{
"epoch": 0.56,
"learning_rate": 9.920000000000002e-06,
"loss": 4.7269,
"step": 499
},
{
"epoch": 0.56,
"learning_rate": 9.940000000000001e-06,
"loss": 4.3305,
"step": 500
},
{
"epoch": 0.56,
"eval_loss": 4.228886127471924,
"eval_runtime": 974.9232,
"eval_samples_per_second": 2.71,
"eval_steps_per_second": 0.34,
"eval_wer": 1.9632883776279255,
"step": 500
},
{
"epoch": 0.56,
"learning_rate": 9.960000000000001e-06,
"loss": 4.4624,
"step": 501
},
{
"epoch": 0.56,
"learning_rate": 9.980000000000001e-06,
"loss": 4.1617,
"step": 502
},
{
"epoch": 0.56,
"learning_rate": 1e-05,
"loss": 4.2835,
"step": 503
},
{
"epoch": 0.57,
"learning_rate": 9.974489795918369e-06,
"loss": 4.1218,
"step": 504
},
{
"epoch": 0.57,
"learning_rate": 9.948979591836737e-06,
"loss": 4.1019,
"step": 505
},
{
"epoch": 0.57,
"learning_rate": 9.923469387755103e-06,
"loss": 4.2585,
"step": 506
},
{
"epoch": 0.57,
"learning_rate": 9.89795918367347e-06,
"loss": 4.1945,
"step": 507
},
{
"epoch": 0.57,
"learning_rate": 9.872448979591838e-06,
"loss": 4.253,
"step": 508
},
{
"epoch": 0.57,
"learning_rate": 9.846938775510205e-06,
"loss": 4.1482,
"step": 509
},
{
"epoch": 0.57,
"learning_rate": 9.821428571428573e-06,
"loss": 4.1989,
"step": 510
},
{
"epoch": 0.57,
"learning_rate": 9.795918367346939e-06,
"loss": 4.198,
"step": 511
},
{
"epoch": 0.57,
"learning_rate": 9.770408163265307e-06,
"loss": 4.1666,
"step": 512
},
{
"epoch": 0.58,
"learning_rate": 9.744897959183674e-06,
"loss": 4.4225,
"step": 513
},
{
"epoch": 0.58,
"learning_rate": 9.719387755102042e-06,
"loss": 4.1743,
"step": 514
},
{
"epoch": 0.58,
"learning_rate": 9.693877551020408e-06,
"loss": 4.1603,
"step": 515
},
{
"epoch": 0.58,
"learning_rate": 9.668367346938776e-06,
"loss": 4.067,
"step": 516
},
{
"epoch": 0.58,
"learning_rate": 9.642857142857144e-06,
"loss": 4.2825,
"step": 517
},
{
"epoch": 0.58,
"learning_rate": 9.617346938775512e-06,
"loss": 4.2279,
"step": 518
},
{
"epoch": 0.58,
"learning_rate": 9.591836734693878e-06,
"loss": 4.2518,
"step": 519
},
{
"epoch": 0.58,
"learning_rate": 9.566326530612246e-06,
"loss": 4.146,
"step": 520
},
{
"epoch": 0.58,
"learning_rate": 9.540816326530612e-06,
"loss": 4.1491,
"step": 521
},
{
"epoch": 0.59,
"learning_rate": 9.51530612244898e-06,
"loss": 4.1193,
"step": 522
},
{
"epoch": 0.59,
"learning_rate": 9.489795918367348e-06,
"loss": 4.0504,
"step": 523
},
{
"epoch": 0.59,
"learning_rate": 9.464285714285714e-06,
"loss": 4.2093,
"step": 524
},
{
"epoch": 0.59,
"learning_rate": 9.438775510204082e-06,
"loss": 4.2388,
"step": 525
},
{
"epoch": 0.59,
"learning_rate": 9.41326530612245e-06,
"loss": 4.0192,
"step": 526
},
{
"epoch": 0.59,
"learning_rate": 9.387755102040818e-06,
"loss": 4.2422,
"step": 527
},
{
"epoch": 0.59,
"learning_rate": 9.362244897959184e-06,
"loss": 4.2195,
"step": 528
},
{
"epoch": 0.59,
"learning_rate": 9.336734693877552e-06,
"loss": 4.1463,
"step": 529
},
{
"epoch": 0.59,
"learning_rate": 9.31122448979592e-06,
"loss": 4.4396,
"step": 530
},
{
"epoch": 0.6,
"learning_rate": 9.285714285714288e-06,
"loss": 4.2119,
"step": 531
},
{
"epoch": 0.6,
"learning_rate": 9.260204081632654e-06,
"loss": 4.0274,
"step": 532
},
{
"epoch": 0.6,
"learning_rate": 9.234693877551022e-06,
"loss": 4.2044,
"step": 533
},
{
"epoch": 0.6,
"learning_rate": 9.209183673469388e-06,
"loss": 4.0576,
"step": 534
},
{
"epoch": 0.6,
"learning_rate": 9.183673469387756e-06,
"loss": 4.1935,
"step": 535
},
{
"epoch": 0.6,
"learning_rate": 9.158163265306124e-06,
"loss": 4.2543,
"step": 536
},
{
"epoch": 0.6,
"learning_rate": 9.13265306122449e-06,
"loss": 4.3184,
"step": 537
},
{
"epoch": 0.6,
"learning_rate": 9.107142857142858e-06,
"loss": 4.392,
"step": 538
},
{
"epoch": 0.6,
"learning_rate": 9.081632653061225e-06,
"loss": 4.2116,
"step": 539
},
{
"epoch": 0.61,
"learning_rate": 9.056122448979593e-06,
"loss": 4.3049,
"step": 540
},
{
"epoch": 0.61,
"learning_rate": 9.03061224489796e-06,
"loss": 4.3154,
"step": 541
},
{
"epoch": 0.61,
"learning_rate": 9.005102040816327e-06,
"loss": 4.3371,
"step": 542
},
{
"epoch": 0.61,
"learning_rate": 8.979591836734695e-06,
"loss": 4.5037,
"step": 543
},
{
"epoch": 0.61,
"learning_rate": 8.954081632653061e-06,
"loss": 4.3188,
"step": 544
},
{
"epoch": 0.61,
"learning_rate": 8.92857142857143e-06,
"loss": 4.4094,
"step": 545
},
{
"epoch": 0.61,
"learning_rate": 8.903061224489795e-06,
"loss": 4.4302,
"step": 546
},
{
"epoch": 0.61,
"learning_rate": 8.877551020408163e-06,
"loss": 4.3836,
"step": 547
},
{
"epoch": 0.61,
"learning_rate": 8.852040816326531e-06,
"loss": 4.7186,
"step": 548
},
{
"epoch": 0.62,
"learning_rate": 8.826530612244899e-06,
"loss": 4.1739,
"step": 549
},
{
"epoch": 0.62,
"learning_rate": 8.801020408163265e-06,
"loss": 5.1641,
"step": 550
},
{
"epoch": 0.62,
"learning_rate": 8.775510204081633e-06,
"loss": 3.9518,
"step": 551
},
{
"epoch": 0.62,
"learning_rate": 8.750000000000001e-06,
"loss": 4.3062,
"step": 552
},
{
"epoch": 0.62,
"learning_rate": 8.724489795918369e-06,
"loss": 4.2158,
"step": 553
},
{
"epoch": 0.62,
"learning_rate": 8.698979591836737e-06,
"loss": 4.1338,
"step": 554
},
{
"epoch": 0.62,
"learning_rate": 8.673469387755103e-06,
"loss": 4.1384,
"step": 555
},
{
"epoch": 0.62,
"learning_rate": 8.64795918367347e-06,
"loss": 4.1871,
"step": 556
},
{
"epoch": 0.62,
"learning_rate": 8.622448979591837e-06,
"loss": 4.0559,
"step": 557
},
{
"epoch": 0.63,
"learning_rate": 8.596938775510205e-06,
"loss": 4.1659,
"step": 558
},
{
"epoch": 0.63,
"learning_rate": 8.571428571428571e-06,
"loss": 4.1301,
"step": 559
},
{
"epoch": 0.63,
"learning_rate": 8.545918367346939e-06,
"loss": 4.054,
"step": 560
},
{
"epoch": 0.63,
"learning_rate": 8.520408163265307e-06,
"loss": 4.2714,
"step": 561
},
{
"epoch": 0.63,
"learning_rate": 8.494897959183675e-06,
"loss": 4.1198,
"step": 562
},
{
"epoch": 0.63,
"learning_rate": 8.469387755102042e-06,
"loss": 4.1379,
"step": 563
},
{
"epoch": 0.63,
"learning_rate": 8.443877551020409e-06,
"loss": 4.1508,
"step": 564
},
{
"epoch": 0.63,
"learning_rate": 8.418367346938776e-06,
"loss": 4.2795,
"step": 565
},
{
"epoch": 0.63,
"learning_rate": 8.392857142857144e-06,
"loss": 4.2692,
"step": 566
},
{
"epoch": 0.64,
"learning_rate": 8.36734693877551e-06,
"loss": 4.1255,
"step": 567
},
{
"epoch": 0.64,
"learning_rate": 8.341836734693878e-06,
"loss": 4.1056,
"step": 568
},
{
"epoch": 0.64,
"learning_rate": 8.316326530612246e-06,
"loss": 4.2612,
"step": 569
},
{
"epoch": 0.64,
"learning_rate": 8.290816326530612e-06,
"loss": 4.0514,
"step": 570
},
{
"epoch": 0.64,
"learning_rate": 8.26530612244898e-06,
"loss": 4.0331,
"step": 571
},
{
"epoch": 0.64,
"learning_rate": 8.239795918367348e-06,
"loss": 4.2712,
"step": 572
},
{
"epoch": 0.64,
"learning_rate": 8.214285714285714e-06,
"loss": 4.0528,
"step": 573
},
{
"epoch": 0.64,
"learning_rate": 8.188775510204082e-06,
"loss": 4.0658,
"step": 574
},
{
"epoch": 0.64,
"learning_rate": 8.16326530612245e-06,
"loss": 4.223,
"step": 575
},
{
"epoch": 0.65,
"learning_rate": 8.137755102040818e-06,
"loss": 4.0634,
"step": 576
},
{
"epoch": 0.65,
"learning_rate": 8.112244897959184e-06,
"loss": 4.1961,
"step": 577
},
{
"epoch": 0.65,
"learning_rate": 8.086734693877552e-06,
"loss": 4.297,
"step": 578
},
{
"epoch": 0.65,
"learning_rate": 8.06122448979592e-06,
"loss": 3.8723,
"step": 579
},
{
"epoch": 0.65,
"learning_rate": 8.035714285714286e-06,
"loss": 4.3325,
"step": 580
},
{
"epoch": 0.65,
"learning_rate": 8.010204081632654e-06,
"loss": 4.3099,
"step": 581
},
{
"epoch": 0.65,
"learning_rate": 7.98469387755102e-06,
"loss": 4.0784,
"step": 582
},
{
"epoch": 0.65,
"learning_rate": 7.959183673469388e-06,
"loss": 4.0144,
"step": 583
},
{
"epoch": 0.65,
"learning_rate": 7.933673469387756e-06,
"loss": 4.2075,
"step": 584
},
{
"epoch": 0.66,
"learning_rate": 7.908163265306124e-06,
"loss": 4.3471,
"step": 585
},
{
"epoch": 0.66,
"learning_rate": 7.88265306122449e-06,
"loss": 4.214,
"step": 586
},
{
"epoch": 0.66,
"learning_rate": 7.857142857142858e-06,
"loss": 4.2309,
"step": 587
},
{
"epoch": 0.66,
"learning_rate": 7.831632653061226e-06,
"loss": 4.301,
"step": 588
},
{
"epoch": 0.66,
"learning_rate": 7.806122448979593e-06,
"loss": 3.9973,
"step": 589
},
{
"epoch": 0.66,
"learning_rate": 7.78061224489796e-06,
"loss": 4.1042,
"step": 590
},
{
"epoch": 0.66,
"learning_rate": 7.755102040816327e-06,
"loss": 4.2299,
"step": 591
},
{
"epoch": 0.66,
"learning_rate": 7.729591836734695e-06,
"loss": 4.3201,
"step": 592
},
{
"epoch": 0.66,
"learning_rate": 7.704081632653061e-06,
"loss": 4.556,
"step": 593
},
{
"epoch": 0.67,
"learning_rate": 7.67857142857143e-06,
"loss": 4.3675,
"step": 594
},
{
"epoch": 0.67,
"learning_rate": 7.653061224489796e-06,
"loss": 4.302,
"step": 595
},
{
"epoch": 0.67,
"learning_rate": 7.627551020408163e-06,
"loss": 4.1146,
"step": 596
},
{
"epoch": 0.67,
"learning_rate": 7.602040816326531e-06,
"loss": 4.2442,
"step": 597
},
{
"epoch": 0.67,
"learning_rate": 7.576530612244899e-06,
"loss": 4.3609,
"step": 598
},
{
"epoch": 0.67,
"learning_rate": 7.551020408163265e-06,
"loss": 4.3449,
"step": 599
},
{
"epoch": 0.67,
"learning_rate": 7.525510204081633e-06,
"loss": 4.2737,
"step": 600
},
{
"epoch": 0.67,
"learning_rate": 7.500000000000001e-06,
"loss": 4.2102,
"step": 601
},
{
"epoch": 0.67,
"learning_rate": 7.474489795918368e-06,
"loss": 4.0365,
"step": 602
},
{
"epoch": 0.68,
"learning_rate": 7.448979591836736e-06,
"loss": 4.1834,
"step": 603
},
{
"epoch": 0.68,
"learning_rate": 7.423469387755102e-06,
"loss": 4.1542,
"step": 604
},
{
"epoch": 0.68,
"learning_rate": 7.39795918367347e-06,
"loss": 4.126,
"step": 605
},
{
"epoch": 0.68,
"learning_rate": 7.372448979591838e-06,
"loss": 4.1515,
"step": 606
},
{
"epoch": 0.68,
"learning_rate": 7.346938775510205e-06,
"loss": 4.1811,
"step": 607
},
{
"epoch": 0.68,
"learning_rate": 7.321428571428572e-06,
"loss": 4.1185,
"step": 608
},
{
"epoch": 0.68,
"learning_rate": 7.295918367346939e-06,
"loss": 4.1018,
"step": 609
},
{
"epoch": 0.68,
"learning_rate": 7.270408163265307e-06,
"loss": 4.1371,
"step": 610
},
{
"epoch": 0.68,
"learning_rate": 7.244897959183675e-06,
"loss": 4.0925,
"step": 611
},
{
"epoch": 0.69,
"learning_rate": 7.219387755102042e-06,
"loss": 4.2773,
"step": 612
},
{
"epoch": 0.69,
"learning_rate": 7.193877551020409e-06,
"loss": 4.2033,
"step": 613
},
{
"epoch": 0.69,
"learning_rate": 7.168367346938776e-06,
"loss": 4.2348,
"step": 614
},
{
"epoch": 0.69,
"learning_rate": 7.1428571428571436e-06,
"loss": 4.1249,
"step": 615
},
{
"epoch": 0.69,
"learning_rate": 7.1173469387755114e-06,
"loss": 4.1543,
"step": 616
},
{
"epoch": 0.69,
"learning_rate": 7.091836734693878e-06,
"loss": 4.0646,
"step": 617
},
{
"epoch": 0.69,
"learning_rate": 7.0663265306122455e-06,
"loss": 4.1329,
"step": 618
},
{
"epoch": 0.69,
"learning_rate": 7.0408163265306125e-06,
"loss": 4.0905,
"step": 619
},
{
"epoch": 0.7,
"learning_rate": 7.01530612244898e-06,
"loss": 4.1415,
"step": 620
},
{
"epoch": 0.7,
"learning_rate": 6.989795918367348e-06,
"loss": 4.1331,
"step": 621
},
{
"epoch": 0.7,
"learning_rate": 6.964285714285714e-06,
"loss": 4.0551,
"step": 622
},
{
"epoch": 0.7,
"learning_rate": 6.938775510204082e-06,
"loss": 4.294,
"step": 623
},
{
"epoch": 0.7,
"learning_rate": 6.91326530612245e-06,
"loss": 4.1089,
"step": 624
},
{
"epoch": 0.7,
"learning_rate": 6.887755102040817e-06,
"loss": 4.2508,
"step": 625
},
{
"epoch": 0.7,
"learning_rate": 6.862244897959184e-06,
"loss": 4.2691,
"step": 626
},
{
"epoch": 0.7,
"learning_rate": 6.836734693877551e-06,
"loss": 4.2317,
"step": 627
},
{
"epoch": 0.7,
"learning_rate": 6.811224489795919e-06,
"loss": 4.1662,
"step": 628
},
{
"epoch": 0.71,
"learning_rate": 6.785714285714287e-06,
"loss": 4.1816,
"step": 629
},
{
"epoch": 0.71,
"learning_rate": 6.760204081632653e-06,
"loss": 4.3043,
"step": 630
},
{
"epoch": 0.71,
"learning_rate": 6.734693877551021e-06,
"loss": 4.2666,
"step": 631
},
{
"epoch": 0.71,
"learning_rate": 6.709183673469388e-06,
"loss": 4.0984,
"step": 632
},
{
"epoch": 0.71,
"learning_rate": 6.683673469387756e-06,
"loss": 4.2147,
"step": 633
},
{
"epoch": 0.71,
"learning_rate": 6.658163265306124e-06,
"loss": 4.172,
"step": 634
},
{
"epoch": 0.71,
"learning_rate": 6.63265306122449e-06,
"loss": 4.2655,
"step": 635
},
{
"epoch": 0.71,
"learning_rate": 6.607142857142858e-06,
"loss": 4.2441,
"step": 636
},
{
"epoch": 0.71,
"learning_rate": 6.581632653061225e-06,
"loss": 4.1021,
"step": 637
},
{
"epoch": 0.72,
"learning_rate": 6.556122448979593e-06,
"loss": 4.0496,
"step": 638
},
{
"epoch": 0.72,
"learning_rate": 6.530612244897959e-06,
"loss": 4.2592,
"step": 639
},
{
"epoch": 0.72,
"learning_rate": 6.505102040816327e-06,
"loss": 4.0456,
"step": 640
},
{
"epoch": 0.72,
"learning_rate": 6.4795918367346946e-06,
"loss": 4.2189,
"step": 641
},
{
"epoch": 0.72,
"learning_rate": 6.454081632653062e-06,
"loss": 4.5666,
"step": 642
},
{
"epoch": 0.72,
"learning_rate": 6.4285714285714295e-06,
"loss": 4.3746,
"step": 643
},
{
"epoch": 0.72,
"learning_rate": 6.403061224489796e-06,
"loss": 4.1678,
"step": 644
},
{
"epoch": 0.72,
"learning_rate": 6.3775510204081635e-06,
"loss": 4.0132,
"step": 645
},
{
"epoch": 0.72,
"learning_rate": 6.352040816326531e-06,
"loss": 4.3461,
"step": 646
},
{
"epoch": 0.73,
"learning_rate": 6.326530612244899e-06,
"loss": 4.2589,
"step": 647
},
{
"epoch": 0.73,
"learning_rate": 6.301020408163265e-06,
"loss": 4.096,
"step": 648
},
{
"epoch": 0.73,
"learning_rate": 6.275510204081633e-06,
"loss": 4.5869,
"step": 649
},
{
"epoch": 0.73,
"learning_rate": 6.25e-06,
"loss": 4.407,
"step": 650
},
{
"epoch": 0.73,
"learning_rate": 6.224489795918368e-06,
"loss": 4.27,
"step": 651
},
{
"epoch": 0.73,
"learning_rate": 6.198979591836736e-06,
"loss": 4.2809,
"step": 652
},
{
"epoch": 0.73,
"learning_rate": 6.173469387755102e-06,
"loss": 4.2394,
"step": 653
},
{
"epoch": 0.73,
"learning_rate": 6.14795918367347e-06,
"loss": 4.2062,
"step": 654
},
{
"epoch": 0.73,
"learning_rate": 6.122448979591837e-06,
"loss": 4.2026,
"step": 655
},
{
"epoch": 0.74,
"learning_rate": 6.096938775510205e-06,
"loss": 4.1606,
"step": 656
},
{
"epoch": 0.74,
"learning_rate": 6.071428571428571e-06,
"loss": 4.0792,
"step": 657
},
{
"epoch": 0.74,
"learning_rate": 6.045918367346939e-06,
"loss": 4.3318,
"step": 658
},
{
"epoch": 0.74,
"learning_rate": 6.020408163265307e-06,
"loss": 4.1618,
"step": 659
},
{
"epoch": 0.74,
"learning_rate": 5.994897959183674e-06,
"loss": 4.2486,
"step": 660
},
{
"epoch": 0.74,
"learning_rate": 5.969387755102042e-06,
"loss": 4.0378,
"step": 661
},
{
"epoch": 0.74,
"learning_rate": 5.943877551020408e-06,
"loss": 4.0316,
"step": 662
},
{
"epoch": 0.74,
"learning_rate": 5.918367346938776e-06,
"loss": 4.2624,
"step": 663
},
{
"epoch": 0.74,
"learning_rate": 5.892857142857144e-06,
"loss": 4.1044,
"step": 664
},
{
"epoch": 0.75,
"learning_rate": 5.867346938775511e-06,
"loss": 4.0393,
"step": 665
},
{
"epoch": 0.75,
"learning_rate": 5.841836734693878e-06,
"loss": 4.3049,
"step": 666
},
{
"epoch": 0.75,
"learning_rate": 5.816326530612246e-06,
"loss": 4.0645,
"step": 667
},
{
"epoch": 0.75,
"learning_rate": 5.790816326530613e-06,
"loss": 4.302,
"step": 668
},
{
"epoch": 0.75,
"learning_rate": 5.7653061224489805e-06,
"loss": 4.2838,
"step": 669
},
{
"epoch": 0.75,
"learning_rate": 5.739795918367348e-06,
"loss": 4.2344,
"step": 670
},
{
"epoch": 0.75,
"learning_rate": 5.7142857142857145e-06,
"loss": 4.1169,
"step": 671
},
{
"epoch": 0.75,
"learning_rate": 5.688775510204082e-06,
"loss": 3.9761,
"step": 672
},
{
"epoch": 0.75,
"learning_rate": 5.663265306122449e-06,
"loss": 4.0069,
"step": 673
},
{
"epoch": 0.76,
"learning_rate": 5.637755102040817e-06,
"loss": 4.0721,
"step": 674
},
{
"epoch": 0.76,
"learning_rate": 5.6122448979591834e-06,
"loss": 4.0428,
"step": 675
},
{
"epoch": 0.76,
"learning_rate": 5.586734693877551e-06,
"loss": 4.1588,
"step": 676
},
{
"epoch": 0.76,
"learning_rate": 5.561224489795919e-06,
"loss": 4.0451,
"step": 677
},
{
"epoch": 0.76,
"learning_rate": 5.535714285714286e-06,
"loss": 3.9977,
"step": 678
},
{
"epoch": 0.76,
"learning_rate": 5.510204081632653e-06,
"loss": 4.0278,
"step": 679
},
{
"epoch": 0.76,
"learning_rate": 5.48469387755102e-06,
"loss": 4.0882,
"step": 680
},
{
"epoch": 0.76,
"learning_rate": 5.459183673469388e-06,
"loss": 4.3101,
"step": 681
},
{
"epoch": 0.76,
"learning_rate": 5.433673469387756e-06,
"loss": 4.0457,
"step": 682
},
{
"epoch": 0.77,
"learning_rate": 5.408163265306123e-06,
"loss": 4.1816,
"step": 683
},
{
"epoch": 0.77,
"learning_rate": 5.38265306122449e-06,
"loss": 4.1824,
"step": 684
},
{
"epoch": 0.77,
"learning_rate": 5.357142857142857e-06,
"loss": 4.2306,
"step": 685
},
{
"epoch": 0.77,
"learning_rate": 5.331632653061225e-06,
"loss": 4.1195,
"step": 686
},
{
"epoch": 0.77,
"learning_rate": 5.306122448979593e-06,
"loss": 4.2259,
"step": 687
},
{
"epoch": 0.77,
"learning_rate": 5.280612244897959e-06,
"loss": 4.2941,
"step": 688
},
{
"epoch": 0.77,
"learning_rate": 5.255102040816327e-06,
"loss": 4.2482,
"step": 689
},
{
"epoch": 0.77,
"learning_rate": 5.229591836734695e-06,
"loss": 4.3791,
"step": 690
},
{
"epoch": 0.77,
"learning_rate": 5.204081632653062e-06,
"loss": 4.101,
"step": 691
},
{
"epoch": 0.78,
"learning_rate": 5.1785714285714296e-06,
"loss": 4.2065,
"step": 692
},
{
"epoch": 0.78,
"learning_rate": 5.153061224489796e-06,
"loss": 4.1788,
"step": 693
},
{
"epoch": 0.78,
"learning_rate": 5.127551020408164e-06,
"loss": 4.4918,
"step": 694
},
{
"epoch": 0.78,
"learning_rate": 5.1020408163265315e-06,
"loss": 4.1984,
"step": 695
},
{
"epoch": 0.78,
"learning_rate": 5.0765306122448985e-06,
"loss": 4.3442,
"step": 696
},
{
"epoch": 0.78,
"learning_rate": 5.0510204081632655e-06,
"loss": 4.4095,
"step": 697
},
{
"epoch": 0.78,
"learning_rate": 5.0255102040816325e-06,
"loss": 4.3569,
"step": 698
},
{
"epoch": 0.78,
"learning_rate": 5e-06,
"loss": 4.3541,
"step": 699
},
{
"epoch": 0.78,
"learning_rate": 4.974489795918368e-06,
"loss": 4.5501,
"step": 700
},
{
"epoch": 0.79,
"learning_rate": 4.948979591836735e-06,
"loss": 4.1101,
"step": 701
},
{
"epoch": 0.79,
"learning_rate": 4.923469387755102e-06,
"loss": 4.165,
"step": 702
},
{
"epoch": 0.79,
"learning_rate": 4.897959183673469e-06,
"loss": 4.0888,
"step": 703
},
{
"epoch": 0.79,
"learning_rate": 4.872448979591837e-06,
"loss": 3.9343,
"step": 704
},
{
"epoch": 0.79,
"learning_rate": 4.846938775510204e-06,
"loss": 4.0735,
"step": 705
},
{
"epoch": 0.79,
"learning_rate": 4.821428571428572e-06,
"loss": 4.2064,
"step": 706
},
{
"epoch": 0.79,
"learning_rate": 4.795918367346939e-06,
"loss": 4.169,
"step": 707
},
{
"epoch": 0.79,
"learning_rate": 4.770408163265306e-06,
"loss": 4.1919,
"step": 708
},
{
"epoch": 0.79,
"learning_rate": 4.744897959183674e-06,
"loss": 4.0701,
"step": 709
},
{
"epoch": 0.8,
"learning_rate": 4.719387755102041e-06,
"loss": 4.1478,
"step": 710
},
{
"epoch": 0.8,
"learning_rate": 4.693877551020409e-06,
"loss": 4.0602,
"step": 711
},
{
"epoch": 0.8,
"learning_rate": 4.668367346938776e-06,
"loss": 4.1501,
"step": 712
},
{
"epoch": 0.8,
"learning_rate": 4.642857142857144e-06,
"loss": 4.0528,
"step": 713
},
{
"epoch": 0.8,
"learning_rate": 4.617346938775511e-06,
"loss": 4.2488,
"step": 714
},
{
"epoch": 0.8,
"learning_rate": 4.591836734693878e-06,
"loss": 4.2712,
"step": 715
},
{
"epoch": 0.8,
"learning_rate": 4.566326530612245e-06,
"loss": 4.0661,
"step": 716
},
{
"epoch": 0.8,
"learning_rate": 4.540816326530613e-06,
"loss": 4.3115,
"step": 717
},
{
"epoch": 0.8,
"learning_rate": 4.51530612244898e-06,
"loss": 4.1322,
"step": 718
},
{
"epoch": 0.81,
"learning_rate": 4.489795918367348e-06,
"loss": 3.8992,
"step": 719
},
{
"epoch": 0.81,
"learning_rate": 4.464285714285715e-06,
"loss": 4.1857,
"step": 720
},
{
"epoch": 0.81,
"learning_rate": 4.438775510204082e-06,
"loss": 4.0005,
"step": 721
},
{
"epoch": 0.81,
"learning_rate": 4.4132653061224495e-06,
"loss": 4.0494,
"step": 722
},
{
"epoch": 0.81,
"learning_rate": 4.3877551020408165e-06,
"loss": 4.1158,
"step": 723
},
{
"epoch": 0.81,
"learning_rate": 4.362244897959184e-06,
"loss": 4.2112,
"step": 724
},
{
"epoch": 0.81,
"learning_rate": 4.336734693877551e-06,
"loss": 4.1126,
"step": 725
},
{
"epoch": 0.81,
"learning_rate": 4.3112244897959184e-06,
"loss": 4.1853,
"step": 726
},
{
"epoch": 0.82,
"learning_rate": 4.2857142857142855e-06,
"loss": 4.1696,
"step": 727
},
{
"epoch": 0.82,
"learning_rate": 4.260204081632653e-06,
"loss": 4.1452,
"step": 728
},
{
"epoch": 0.82,
"learning_rate": 4.234693877551021e-06,
"loss": 4.0042,
"step": 729
},
{
"epoch": 0.82,
"learning_rate": 4.209183673469388e-06,
"loss": 4.2235,
"step": 730
},
{
"epoch": 0.82,
"learning_rate": 4.183673469387755e-06,
"loss": 4.2987,
"step": 731
},
{
"epoch": 0.82,
"learning_rate": 4.158163265306123e-06,
"loss": 4.1914,
"step": 732
},
{
"epoch": 0.82,
"learning_rate": 4.13265306122449e-06,
"loss": 4.1327,
"step": 733
},
{
"epoch": 0.82,
"learning_rate": 4.107142857142857e-06,
"loss": 4.2529,
"step": 734
},
{
"epoch": 0.82,
"learning_rate": 4.081632653061225e-06,
"loss": 4.0094,
"step": 735
},
{
"epoch": 0.83,
"learning_rate": 4.056122448979592e-06,
"loss": 4.1344,
"step": 736
},
{
"epoch": 0.83,
"learning_rate": 4.03061224489796e-06,
"loss": 4.3353,
"step": 737
},
{
"epoch": 0.83,
"learning_rate": 4.005102040816327e-06,
"loss": 4.1913,
"step": 738
},
{
"epoch": 0.83,
"learning_rate": 3.979591836734694e-06,
"loss": 4.0968,
"step": 739
},
{
"epoch": 0.83,
"learning_rate": 3.954081632653062e-06,
"loss": 4.2916,
"step": 740
},
{
"epoch": 0.83,
"learning_rate": 3.928571428571429e-06,
"loss": 4.2633,
"step": 741
},
{
"epoch": 0.83,
"learning_rate": 3.903061224489797e-06,
"loss": 4.1221,
"step": 742
},
{
"epoch": 0.83,
"learning_rate": 3.877551020408164e-06,
"loss": 4.0215,
"step": 743
},
{
"epoch": 0.83,
"learning_rate": 3.852040816326531e-06,
"loss": 4.1473,
"step": 744
},
{
"epoch": 0.84,
"learning_rate": 3.826530612244898e-06,
"loss": 4.2389,
"step": 745
},
{
"epoch": 0.84,
"learning_rate": 3.8010204081632656e-06,
"loss": 4.4309,
"step": 746
},
{
"epoch": 0.84,
"learning_rate": 3.7755102040816327e-06,
"loss": 4.2204,
"step": 747
},
{
"epoch": 0.84,
"learning_rate": 3.7500000000000005e-06,
"loss": 4.4819,
"step": 748
},
{
"epoch": 0.84,
"learning_rate": 3.724489795918368e-06,
"loss": 4.4102,
"step": 749
},
{
"epoch": 0.84,
"learning_rate": 3.698979591836735e-06,
"loss": 4.3648,
"step": 750
},
{
"epoch": 0.84,
"learning_rate": 3.6734693877551024e-06,
"loss": 4.2377,
"step": 751
},
{
"epoch": 0.84,
"learning_rate": 3.6479591836734694e-06,
"loss": 4.2337,
"step": 752
},
{
"epoch": 0.84,
"learning_rate": 3.6224489795918373e-06,
"loss": 4.1717,
"step": 753
},
{
"epoch": 0.85,
"learning_rate": 3.5969387755102043e-06,
"loss": 4.036,
"step": 754
},
{
"epoch": 0.85,
"learning_rate": 3.5714285714285718e-06,
"loss": 4.2284,
"step": 755
},
{
"epoch": 0.85,
"learning_rate": 3.545918367346939e-06,
"loss": 4.2494,
"step": 756
},
{
"epoch": 0.85,
"learning_rate": 3.5204081632653062e-06,
"loss": 4.1771,
"step": 757
},
{
"epoch": 0.85,
"learning_rate": 3.494897959183674e-06,
"loss": 4.2262,
"step": 758
},
{
"epoch": 0.85,
"learning_rate": 3.469387755102041e-06,
"loss": 4.0813,
"step": 759
},
{
"epoch": 0.85,
"learning_rate": 3.4438775510204086e-06,
"loss": 4.1629,
"step": 760
},
{
"epoch": 0.85,
"learning_rate": 3.4183673469387756e-06,
"loss": 4.0902,
"step": 761
},
{
"epoch": 0.85,
"learning_rate": 3.3928571428571435e-06,
"loss": 4.1826,
"step": 762
},
{
"epoch": 0.86,
"learning_rate": 3.3673469387755105e-06,
"loss": 4.0883,
"step": 763
},
{
"epoch": 0.86,
"learning_rate": 3.341836734693878e-06,
"loss": 4.1143,
"step": 764
},
{
"epoch": 0.86,
"learning_rate": 3.316326530612245e-06,
"loss": 4.1942,
"step": 765
},
{
"epoch": 0.86,
"learning_rate": 3.2908163265306124e-06,
"loss": 4.1399,
"step": 766
},
{
"epoch": 0.86,
"learning_rate": 3.2653061224489794e-06,
"loss": 4.1161,
"step": 767
},
{
"epoch": 0.86,
"learning_rate": 3.2397959183673473e-06,
"loss": 4.1484,
"step": 768
},
{
"epoch": 0.86,
"learning_rate": 3.2142857142857147e-06,
"loss": 4.1973,
"step": 769
},
{
"epoch": 0.86,
"learning_rate": 3.1887755102040818e-06,
"loss": 4.065,
"step": 770
},
{
"epoch": 0.86,
"learning_rate": 3.1632653061224496e-06,
"loss": 4.1393,
"step": 771
},
{
"epoch": 0.87,
"learning_rate": 3.1377551020408166e-06,
"loss": 4.2741,
"step": 772
},
{
"epoch": 0.87,
"learning_rate": 3.112244897959184e-06,
"loss": 4.2364,
"step": 773
},
{
"epoch": 0.87,
"learning_rate": 3.086734693877551e-06,
"loss": 3.9637,
"step": 774
},
{
"epoch": 0.87,
"learning_rate": 3.0612244897959185e-06,
"loss": 4.0388,
"step": 775
},
{
"epoch": 0.87,
"learning_rate": 3.0357142857142856e-06,
"loss": 4.144,
"step": 776
},
{
"epoch": 0.87,
"learning_rate": 3.0102040816326534e-06,
"loss": 3.9844,
"step": 777
},
{
"epoch": 0.87,
"learning_rate": 2.984693877551021e-06,
"loss": 4.1853,
"step": 778
},
{
"epoch": 0.87,
"learning_rate": 2.959183673469388e-06,
"loss": 4.0274,
"step": 779
},
{
"epoch": 0.87,
"learning_rate": 2.9336734693877553e-06,
"loss": 4.0371,
"step": 780
},
{
"epoch": 0.88,
"learning_rate": 2.908163265306123e-06,
"loss": 4.0698,
"step": 781
},
{
"epoch": 0.88,
"learning_rate": 2.8826530612244902e-06,
"loss": 4.183,
"step": 782
},
{
"epoch": 0.88,
"learning_rate": 2.8571428571428573e-06,
"loss": 4.1084,
"step": 783
},
{
"epoch": 0.88,
"learning_rate": 2.8316326530612247e-06,
"loss": 4.1125,
"step": 784
},
{
"epoch": 0.88,
"learning_rate": 2.8061224489795917e-06,
"loss": 4.0694,
"step": 785
},
{
"epoch": 0.88,
"learning_rate": 2.7806122448979596e-06,
"loss": 4.0064,
"step": 786
},
{
"epoch": 0.88,
"learning_rate": 2.7551020408163266e-06,
"loss": 4.1693,
"step": 787
},
{
"epoch": 0.88,
"learning_rate": 2.729591836734694e-06,
"loss": 4.1988,
"step": 788
},
{
"epoch": 0.88,
"learning_rate": 2.7040816326530615e-06,
"loss": 4.0812,
"step": 789
},
{
"epoch": 0.89,
"learning_rate": 2.6785714285714285e-06,
"loss": 4.1691,
"step": 790
},
{
"epoch": 0.89,
"learning_rate": 2.6530612244897964e-06,
"loss": 4.1904,
"step": 791
},
{
"epoch": 0.89,
"learning_rate": 2.6275510204081634e-06,
"loss": 4.0029,
"step": 792
},
{
"epoch": 0.89,
"learning_rate": 2.602040816326531e-06,
"loss": 4.1935,
"step": 793
},
{
"epoch": 0.89,
"learning_rate": 2.576530612244898e-06,
"loss": 4.2966,
"step": 794
},
{
"epoch": 0.89,
"learning_rate": 2.5510204081632657e-06,
"loss": 4.3301,
"step": 795
},
{
"epoch": 0.89,
"learning_rate": 2.5255102040816328e-06,
"loss": 4.2118,
"step": 796
},
{
"epoch": 0.89,
"learning_rate": 2.5e-06,
"loss": 4.3198,
"step": 797
},
{
"epoch": 0.89,
"learning_rate": 2.4744897959183676e-06,
"loss": 4.4169,
"step": 798
},
{
"epoch": 0.9,
"learning_rate": 2.4489795918367347e-06,
"loss": 4.764,
"step": 799
},
{
"epoch": 0.9,
"learning_rate": 2.423469387755102e-06,
"loss": 4.5849,
"step": 800
},
{
"epoch": 0.9,
"learning_rate": 2.3979591836734696e-06,
"loss": 4.1708,
"step": 801
},
{
"epoch": 0.9,
"learning_rate": 2.372448979591837e-06,
"loss": 4.0805,
"step": 802
},
{
"epoch": 0.9,
"learning_rate": 2.3469387755102044e-06,
"loss": 4.0916,
"step": 803
},
{
"epoch": 0.9,
"learning_rate": 2.321428571428572e-06,
"loss": 4.1451,
"step": 804
},
{
"epoch": 0.9,
"learning_rate": 2.295918367346939e-06,
"loss": 3.9581,
"step": 805
},
{
"epoch": 0.9,
"learning_rate": 2.2704081632653064e-06,
"loss": 4.1162,
"step": 806
},
{
"epoch": 0.9,
"learning_rate": 2.244897959183674e-06,
"loss": 4.2046,
"step": 807
},
{
"epoch": 0.91,
"learning_rate": 2.219387755102041e-06,
"loss": 4.0425,
"step": 808
},
{
"epoch": 0.91,
"learning_rate": 2.1938775510204083e-06,
"loss": 4.2532,
"step": 809
},
{
"epoch": 0.91,
"learning_rate": 2.1683673469387757e-06,
"loss": 4.0693,
"step": 810
},
{
"epoch": 0.91,
"learning_rate": 2.1428571428571427e-06,
"loss": 4.3283,
"step": 811
},
{
"epoch": 0.91,
"learning_rate": 2.1173469387755106e-06,
"loss": 4.148,
"step": 812
},
{
"epoch": 0.91,
"learning_rate": 2.0918367346938776e-06,
"loss": 3.9872,
"step": 813
},
{
"epoch": 0.91,
"learning_rate": 2.066326530612245e-06,
"loss": 4.0553,
"step": 814
},
{
"epoch": 0.91,
"learning_rate": 2.0408163265306125e-06,
"loss": 4.0599,
"step": 815
},
{
"epoch": 0.91,
"learning_rate": 2.01530612244898e-06,
"loss": 4.0409,
"step": 816
},
{
"epoch": 0.92,
"learning_rate": 1.989795918367347e-06,
"loss": 4.0849,
"step": 817
},
{
"epoch": 0.92,
"learning_rate": 1.9642857142857144e-06,
"loss": 4.1077,
"step": 818
},
{
"epoch": 0.92,
"learning_rate": 1.938775510204082e-06,
"loss": 4.1032,
"step": 819
},
{
"epoch": 0.92,
"learning_rate": 1.913265306122449e-06,
"loss": 4.1298,
"step": 820
},
{
"epoch": 0.92,
"learning_rate": 1.8877551020408163e-06,
"loss": 4.0518,
"step": 821
},
{
"epoch": 0.92,
"learning_rate": 1.862244897959184e-06,
"loss": 4.0592,
"step": 822
},
{
"epoch": 0.92,
"learning_rate": 1.8367346938775512e-06,
"loss": 3.9919,
"step": 823
},
{
"epoch": 0.92,
"learning_rate": 1.8112244897959187e-06,
"loss": 4.0972,
"step": 824
},
{
"epoch": 0.92,
"learning_rate": 1.7857142857142859e-06,
"loss": 4.348,
"step": 825
},
{
"epoch": 0.93,
"learning_rate": 1.7602040816326531e-06,
"loss": 4.184,
"step": 826
},
{
"epoch": 0.93,
"learning_rate": 1.7346938775510206e-06,
"loss": 4.1537,
"step": 827
},
{
"epoch": 0.93,
"learning_rate": 1.7091836734693878e-06,
"loss": 4.0626,
"step": 828
},
{
"epoch": 0.93,
"learning_rate": 1.6836734693877552e-06,
"loss": 4.0531,
"step": 829
},
{
"epoch": 0.93,
"learning_rate": 1.6581632653061225e-06,
"loss": 4.2099,
"step": 830
},
{
"epoch": 0.93,
"learning_rate": 1.6326530612244897e-06,
"loss": 4.0514,
"step": 831
},
{
"epoch": 0.93,
"learning_rate": 1.6071428571428574e-06,
"loss": 3.9799,
"step": 832
},
{
"epoch": 0.93,
"learning_rate": 1.5816326530612248e-06,
"loss": 4.2617,
"step": 833
},
{
"epoch": 0.93,
"learning_rate": 1.556122448979592e-06,
"loss": 4.1059,
"step": 834
},
{
"epoch": 0.94,
"learning_rate": 1.5306122448979593e-06,
"loss": 4.209,
"step": 835
},
{
"epoch": 0.94,
"learning_rate": 1.5051020408163267e-06,
"loss": 4.1347,
"step": 836
},
{
"epoch": 0.94,
"learning_rate": 1.479591836734694e-06,
"loss": 4.1282,
"step": 837
},
{
"epoch": 0.94,
"learning_rate": 1.4540816326530614e-06,
"loss": 4.2145,
"step": 838
},
{
"epoch": 0.94,
"learning_rate": 1.4285714285714286e-06,
"loss": 4.0665,
"step": 839
},
{
"epoch": 0.94,
"learning_rate": 1.4030612244897959e-06,
"loss": 4.1559,
"step": 840
},
{
"epoch": 0.94,
"learning_rate": 1.3775510204081633e-06,
"loss": 4.3593,
"step": 841
},
{
"epoch": 0.94,
"learning_rate": 1.3520408163265307e-06,
"loss": 4.2098,
"step": 842
},
{
"epoch": 0.95,
"learning_rate": 1.3265306122448982e-06,
"loss": 4.3444,
"step": 843
},
{
"epoch": 0.95,
"learning_rate": 1.3010204081632654e-06,
"loss": 4.4029,
"step": 844
},
{
"epoch": 0.95,
"learning_rate": 1.2755102040816329e-06,
"loss": 4.4122,
"step": 845
},
{
"epoch": 0.95,
"learning_rate": 1.25e-06,
"loss": 4.4857,
"step": 846
},
{
"epoch": 0.95,
"learning_rate": 1.2244897959183673e-06,
"loss": 4.3104,
"step": 847
},
{
"epoch": 0.95,
"learning_rate": 1.1989795918367348e-06,
"loss": 4.6066,
"step": 848
},
{
"epoch": 0.95,
"learning_rate": 1.1734693877551022e-06,
"loss": 4.566,
"step": 849
},
{
"epoch": 0.95,
"learning_rate": 1.1479591836734695e-06,
"loss": 4.3475,
"step": 850
},
{
"epoch": 0.95,
"learning_rate": 1.122448979591837e-06,
"loss": 4.1136,
"step": 851
},
{
"epoch": 0.96,
"learning_rate": 1.0969387755102041e-06,
"loss": 4.0434,
"step": 852
},
{
"epoch": 0.96,
"learning_rate": 1.0714285714285714e-06,
"loss": 4.0987,
"step": 853
},
{
"epoch": 0.96,
"learning_rate": 1.0459183673469388e-06,
"loss": 4.0302,
"step": 854
},
{
"epoch": 0.96,
"learning_rate": 1.0204081632653063e-06,
"loss": 4.0521,
"step": 855
},
{
"epoch": 0.96,
"learning_rate": 9.948979591836735e-07,
"loss": 4.0754,
"step": 856
},
{
"epoch": 0.96,
"learning_rate": 9.69387755102041e-07,
"loss": 4.1819,
"step": 857
},
{
"epoch": 0.96,
"learning_rate": 9.438775510204082e-07,
"loss": 4.1869,
"step": 858
},
{
"epoch": 0.96,
"learning_rate": 9.183673469387756e-07,
"loss": 4.0316,
"step": 859
},
{
"epoch": 0.96,
"learning_rate": 8.928571428571429e-07,
"loss": 4.122,
"step": 860
},
{
"epoch": 0.97,
"learning_rate": 8.673469387755103e-07,
"loss": 4.3079,
"step": 861
},
{
"epoch": 0.97,
"learning_rate": 8.418367346938776e-07,
"loss": 4.0366,
"step": 862
},
{
"epoch": 0.97,
"learning_rate": 8.163265306122449e-07,
"loss": 4.1618,
"step": 863
},
{
"epoch": 0.97,
"learning_rate": 7.908163265306124e-07,
"loss": 4.2898,
"step": 864
},
{
"epoch": 0.97,
"learning_rate": 7.653061224489796e-07,
"loss": 4.1907,
"step": 865
},
{
"epoch": 0.97,
"learning_rate": 7.39795918367347e-07,
"loss": 3.9162,
"step": 866
},
{
"epoch": 0.97,
"learning_rate": 7.142857142857143e-07,
"loss": 4.1405,
"step": 867
},
{
"epoch": 0.97,
"learning_rate": 6.887755102040817e-07,
"loss": 4.0013,
"step": 868
},
{
"epoch": 0.97,
"learning_rate": 6.632653061224491e-07,
"loss": 4.0399,
"step": 869
},
{
"epoch": 0.98,
"learning_rate": 6.377551020408164e-07,
"loss": 4.2113,
"step": 870
},
{
"epoch": 0.98,
"learning_rate": 6.122448979591837e-07,
"loss": 4.0378,
"step": 871
},
{
"epoch": 0.98,
"learning_rate": 5.867346938775511e-07,
"loss": 4.2345,
"step": 872
},
{
"epoch": 0.98,
"learning_rate": 5.612244897959184e-07,
"loss": 4.1941,
"step": 873
},
{
"epoch": 0.98,
"learning_rate": 5.357142857142857e-07,
"loss": 4.2059,
"step": 874
},
{
"epoch": 0.98,
"learning_rate": 5.102040816326531e-07,
"loss": 4.2025,
"step": 875
},
{
"epoch": 0.98,
"learning_rate": 4.846938775510205e-07,
"loss": 4.0469,
"step": 876
},
{
"epoch": 0.98,
"learning_rate": 4.591836734693878e-07,
"loss": 4.1253,
"step": 877
},
{
"epoch": 0.98,
"learning_rate": 4.3367346938775514e-07,
"loss": 4.1534,
"step": 878
},
{
"epoch": 0.99,
"learning_rate": 4.0816326530612243e-07,
"loss": 4.3464,
"step": 879
},
{
"epoch": 0.99,
"learning_rate": 3.826530612244898e-07,
"loss": 4.4463,
"step": 880
},
{
"epoch": 0.99,
"learning_rate": 3.5714285714285716e-07,
"loss": 4.0558,
"step": 881
},
{
"epoch": 0.99,
"learning_rate": 3.3163265306122455e-07,
"loss": 4.1566,
"step": 882
},
{
"epoch": 0.99,
"learning_rate": 3.0612244897959183e-07,
"loss": 4.0943,
"step": 883
},
{
"epoch": 0.99,
"learning_rate": 2.806122448979592e-07,
"loss": 4.0736,
"step": 884
},
{
"epoch": 0.99,
"learning_rate": 2.5510204081632656e-07,
"loss": 4.1666,
"step": 885
},
{
"epoch": 0.99,
"learning_rate": 2.295918367346939e-07,
"loss": 4.1459,
"step": 886
},
{
"epoch": 0.99,
"learning_rate": 2.0408163265306121e-07,
"loss": 4.107,
"step": 887
},
{
"epoch": 1.0,
"learning_rate": 1.7857142857142858e-07,
"loss": 4.308,
"step": 888
},
{
"epoch": 1.0,
"learning_rate": 1.5306122448979592e-07,
"loss": 4.3713,
"step": 889
},
{
"epoch": 1.0,
"learning_rate": 1.2755102040816328e-07,
"loss": 4.1827,
"step": 890
},
{
"epoch": 1.0,
"learning_rate": 1.0204081632653061e-07,
"loss": 4.4517,
"step": 891
},
{
"epoch": 1.0,
"learning_rate": 7.653061224489796e-08,
"loss": 4.0199,
"step": 892
},
{
"epoch": 1.0,
"step": 892,
"total_flos": 0.0,
"train_loss": 4.297821357913081,
"train_runtime": 6364.0567,
"train_samples_per_second": 4.484,
"train_steps_per_second": 0.14
}
],
"max_steps": 892,
"num_train_epochs": 1,
"total_flos": 0.0,
"trial_name": null,
"trial_params": null
}