wav2vec2-2-bart-large-cnn / trainer_state.json
sanchit-gandhi's picture
End of training
c485867
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 9.995515695067265,
"global_step": 1110,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.01,
"learning_rate": 0.0,
"loss": 10.1809,
"step": 1
},
{
"epoch": 0.02,
"learning_rate": 6e-07,
"loss": 10.3677,
"step": 2
},
{
"epoch": 0.03,
"learning_rate": 6e-07,
"loss": 10.32,
"step": 3
},
{
"epoch": 0.04,
"learning_rate": 1.2e-06,
"loss": 10.153,
"step": 4
},
{
"epoch": 0.04,
"learning_rate": 1.8e-06,
"loss": 10.1314,
"step": 5
},
{
"epoch": 0.05,
"learning_rate": 2.4e-06,
"loss": 9.8055,
"step": 6
},
{
"epoch": 0.06,
"learning_rate": 2.9999999999999997e-06,
"loss": 9.6007,
"step": 7
},
{
"epoch": 0.07,
"learning_rate": 3.6e-06,
"loss": 9.0158,
"step": 8
},
{
"epoch": 0.08,
"learning_rate": 4.2e-06,
"loss": 8.4618,
"step": 9
},
{
"epoch": 0.09,
"learning_rate": 4.8e-06,
"loss": 8.2283,
"step": 10
},
{
"epoch": 0.1,
"learning_rate": 5.399999999999999e-06,
"loss": 7.7538,
"step": 11
},
{
"epoch": 0.11,
"learning_rate": 5.999999999999999e-06,
"loss": 7.5517,
"step": 12
},
{
"epoch": 0.12,
"learning_rate": 6.599999999999999e-06,
"loss": 7.3315,
"step": 13
},
{
"epoch": 0.13,
"learning_rate": 7.2e-06,
"loss": 7.1076,
"step": 14
},
{
"epoch": 0.13,
"learning_rate": 7.799999999999998e-06,
"loss": 6.8569,
"step": 15
},
{
"epoch": 0.14,
"learning_rate": 8.4e-06,
"loss": 6.7689,
"step": 16
},
{
"epoch": 0.15,
"learning_rate": 8.999999999999999e-06,
"loss": 6.5553,
"step": 17
},
{
"epoch": 0.16,
"learning_rate": 9.6e-06,
"loss": 6.3901,
"step": 18
},
{
"epoch": 0.17,
"learning_rate": 1.02e-05,
"loss": 6.3045,
"step": 19
},
{
"epoch": 0.18,
"learning_rate": 1.0799999999999998e-05,
"loss": 6.1671,
"step": 20
},
{
"epoch": 0.19,
"learning_rate": 1.14e-05,
"loss": 5.9445,
"step": 21
},
{
"epoch": 0.2,
"learning_rate": 1.1999999999999999e-05,
"loss": 5.8393,
"step": 22
},
{
"epoch": 0.21,
"learning_rate": 1.26e-05,
"loss": 5.8426,
"step": 23
},
{
"epoch": 0.22,
"learning_rate": 1.3199999999999997e-05,
"loss": 5.6518,
"step": 24
},
{
"epoch": 0.22,
"learning_rate": 1.3799999999999998e-05,
"loss": 5.7463,
"step": 25
},
{
"epoch": 0.23,
"learning_rate": 1.44e-05,
"loss": 5.6185,
"step": 26
},
{
"epoch": 0.24,
"learning_rate": 1.4999999999999999e-05,
"loss": 5.5114,
"step": 27
},
{
"epoch": 0.25,
"learning_rate": 1.5599999999999996e-05,
"loss": 5.3849,
"step": 28
},
{
"epoch": 0.26,
"learning_rate": 1.6199999999999997e-05,
"loss": 5.3192,
"step": 29
},
{
"epoch": 0.27,
"learning_rate": 1.68e-05,
"loss": 5.2528,
"step": 30
},
{
"epoch": 0.28,
"learning_rate": 1.74e-05,
"loss": 5.1951,
"step": 31
},
{
"epoch": 0.29,
"learning_rate": 1.7999999999999997e-05,
"loss": 5.1437,
"step": 32
},
{
"epoch": 0.3,
"learning_rate": 1.8599999999999998e-05,
"loss": 5.1332,
"step": 33
},
{
"epoch": 0.3,
"learning_rate": 1.92e-05,
"loss": 5.082,
"step": 34
},
{
"epoch": 0.31,
"learning_rate": 1.98e-05,
"loss": 4.9941,
"step": 35
},
{
"epoch": 0.32,
"learning_rate": 2.04e-05,
"loss": 4.977,
"step": 36
},
{
"epoch": 0.33,
"learning_rate": 2.1e-05,
"loss": 4.9351,
"step": 37
},
{
"epoch": 0.34,
"learning_rate": 2.1599999999999996e-05,
"loss": 4.9614,
"step": 38
},
{
"epoch": 0.35,
"learning_rate": 2.2199999999999998e-05,
"loss": 4.8991,
"step": 39
},
{
"epoch": 0.36,
"learning_rate": 2.28e-05,
"loss": 4.9255,
"step": 40
},
{
"epoch": 0.37,
"learning_rate": 2.34e-05,
"loss": 4.8665,
"step": 41
},
{
"epoch": 0.38,
"learning_rate": 2.3999999999999997e-05,
"loss": 4.8518,
"step": 42
},
{
"epoch": 0.39,
"learning_rate": 2.4599999999999998e-05,
"loss": 4.7914,
"step": 43
},
{
"epoch": 0.39,
"learning_rate": 2.52e-05,
"loss": 4.8202,
"step": 44
},
{
"epoch": 0.4,
"learning_rate": 2.5799999999999997e-05,
"loss": 4.9285,
"step": 45
},
{
"epoch": 0.41,
"learning_rate": 2.6399999999999995e-05,
"loss": 4.8156,
"step": 46
},
{
"epoch": 0.42,
"learning_rate": 2.6999999999999996e-05,
"loss": 4.8383,
"step": 47
},
{
"epoch": 0.43,
"learning_rate": 2.7599999999999997e-05,
"loss": 4.8539,
"step": 48
},
{
"epoch": 0.44,
"learning_rate": 2.8199999999999998e-05,
"loss": 4.9313,
"step": 49
},
{
"epoch": 0.45,
"learning_rate": 2.88e-05,
"loss": 4.9483,
"step": 50
},
{
"epoch": 0.46,
"learning_rate": 2.94e-05,
"loss": 5.2754,
"step": 51
},
{
"epoch": 0.47,
"learning_rate": 2.9999999999999997e-05,
"loss": 5.3344,
"step": 52
},
{
"epoch": 0.48,
"learning_rate": 3.06e-05,
"loss": 5.2162,
"step": 53
},
{
"epoch": 0.48,
"learning_rate": 3.119999999999999e-05,
"loss": 5.0826,
"step": 54
},
{
"epoch": 0.49,
"learning_rate": 3.1799999999999994e-05,
"loss": 4.8626,
"step": 55
},
{
"epoch": 0.5,
"learning_rate": 3.2399999999999995e-05,
"loss": 4.8319,
"step": 56
},
{
"epoch": 0.51,
"learning_rate": 3.2999999999999996e-05,
"loss": 4.771,
"step": 57
},
{
"epoch": 0.52,
"learning_rate": 3.36e-05,
"loss": 4.6895,
"step": 58
},
{
"epoch": 0.53,
"learning_rate": 3.42e-05,
"loss": 4.693,
"step": 59
},
{
"epoch": 0.54,
"learning_rate": 3.48e-05,
"loss": 4.7241,
"step": 60
},
{
"epoch": 0.55,
"learning_rate": 3.539999999999999e-05,
"loss": 4.7604,
"step": 61
},
{
"epoch": 0.56,
"learning_rate": 3.5999999999999994e-05,
"loss": 4.6755,
"step": 62
},
{
"epoch": 0.57,
"learning_rate": 3.6599999999999995e-05,
"loss": 4.6489,
"step": 63
},
{
"epoch": 0.57,
"learning_rate": 3.7199999999999996e-05,
"loss": 4.658,
"step": 64
},
{
"epoch": 0.58,
"learning_rate": 3.78e-05,
"loss": 4.6951,
"step": 65
},
{
"epoch": 0.59,
"learning_rate": 3.84e-05,
"loss": 4.5903,
"step": 66
},
{
"epoch": 0.6,
"learning_rate": 3.9e-05,
"loss": 4.6142,
"step": 67
},
{
"epoch": 0.61,
"learning_rate": 3.96e-05,
"loss": 4.6912,
"step": 68
},
{
"epoch": 0.62,
"learning_rate": 4.02e-05,
"loss": 4.6049,
"step": 69
},
{
"epoch": 0.63,
"learning_rate": 4.08e-05,
"loss": 4.5636,
"step": 70
},
{
"epoch": 0.64,
"learning_rate": 4.14e-05,
"loss": 4.6753,
"step": 71
},
{
"epoch": 0.65,
"learning_rate": 4.2e-05,
"loss": 4.7513,
"step": 72
},
{
"epoch": 0.65,
"learning_rate": 4.259999999999999e-05,
"loss": 4.655,
"step": 73
},
{
"epoch": 0.66,
"learning_rate": 4.319999999999999e-05,
"loss": 4.6118,
"step": 74
},
{
"epoch": 0.67,
"learning_rate": 4.3799999999999994e-05,
"loss": 4.5642,
"step": 75
},
{
"epoch": 0.68,
"learning_rate": 4.4399999999999995e-05,
"loss": 5.0646,
"step": 76
},
{
"epoch": 0.69,
"learning_rate": 4.4999999999999996e-05,
"loss": 5.1318,
"step": 77
},
{
"epoch": 0.7,
"learning_rate": 4.56e-05,
"loss": 5.1167,
"step": 78
},
{
"epoch": 0.71,
"learning_rate": 4.62e-05,
"loss": 5.0646,
"step": 79
},
{
"epoch": 0.72,
"learning_rate": 4.68e-05,
"loss": 4.8794,
"step": 80
},
{
"epoch": 0.73,
"learning_rate": 4.7399999999999993e-05,
"loss": 4.6735,
"step": 81
},
{
"epoch": 0.74,
"learning_rate": 4.7999999999999994e-05,
"loss": 4.6389,
"step": 82
},
{
"epoch": 0.74,
"learning_rate": 4.8599999999999995e-05,
"loss": 4.6545,
"step": 83
},
{
"epoch": 0.75,
"learning_rate": 4.9199999999999997e-05,
"loss": 4.6443,
"step": 84
},
{
"epoch": 0.76,
"learning_rate": 4.98e-05,
"loss": 4.6087,
"step": 85
},
{
"epoch": 0.77,
"learning_rate": 5.04e-05,
"loss": 4.5696,
"step": 86
},
{
"epoch": 0.78,
"learning_rate": 5.1e-05,
"loss": 4.5662,
"step": 87
},
{
"epoch": 0.79,
"learning_rate": 5.1599999999999994e-05,
"loss": 4.6608,
"step": 88
},
{
"epoch": 0.8,
"learning_rate": 5.2199999999999995e-05,
"loss": 4.5441,
"step": 89
},
{
"epoch": 0.81,
"learning_rate": 5.279999999999999e-05,
"loss": 4.6029,
"step": 90
},
{
"epoch": 0.82,
"learning_rate": 5.339999999999999e-05,
"loss": 4.4904,
"step": 91
},
{
"epoch": 0.83,
"learning_rate": 5.399999999999999e-05,
"loss": 4.5875,
"step": 92
},
{
"epoch": 0.83,
"learning_rate": 5.459999999999999e-05,
"loss": 4.5483,
"step": 93
},
{
"epoch": 0.84,
"learning_rate": 5.519999999999999e-05,
"loss": 4.5813,
"step": 94
},
{
"epoch": 0.85,
"learning_rate": 5.5799999999999994e-05,
"loss": 4.5633,
"step": 95
},
{
"epoch": 0.86,
"learning_rate": 5.6399999999999995e-05,
"loss": 4.5124,
"step": 96
},
{
"epoch": 0.87,
"learning_rate": 5.6999999999999996e-05,
"loss": 4.5139,
"step": 97
},
{
"epoch": 0.88,
"learning_rate": 5.76e-05,
"loss": 4.5894,
"step": 98
},
{
"epoch": 0.89,
"learning_rate": 5.82e-05,
"loss": 4.5597,
"step": 99
},
{
"epoch": 0.9,
"learning_rate": 5.88e-05,
"loss": 4.492,
"step": 100
},
{
"epoch": 0.91,
"learning_rate": 5.94e-05,
"loss": 5.1473,
"step": 101
},
{
"epoch": 0.91,
"learning_rate": 5.9999999999999995e-05,
"loss": 5.2295,
"step": 102
},
{
"epoch": 0.92,
"learning_rate": 6.0599999999999996e-05,
"loss": 5.1966,
"step": 103
},
{
"epoch": 0.93,
"learning_rate": 6.12e-05,
"loss": 4.9692,
"step": 104
},
{
"epoch": 0.94,
"learning_rate": 6.18e-05,
"loss": 4.8494,
"step": 105
},
{
"epoch": 0.95,
"learning_rate": 6.239999999999999e-05,
"loss": 4.6873,
"step": 106
},
{
"epoch": 0.96,
"learning_rate": 6.299999999999999e-05,
"loss": 4.639,
"step": 107
},
{
"epoch": 0.97,
"learning_rate": 6.359999999999999e-05,
"loss": 4.5857,
"step": 108
},
{
"epoch": 0.98,
"learning_rate": 6.419999999999999e-05,
"loss": 4.5445,
"step": 109
},
{
"epoch": 0.99,
"learning_rate": 6.479999999999999e-05,
"loss": 4.6775,
"step": 110
},
{
"epoch": 1.0,
"learning_rate": 6.539999999999999e-05,
"loss": 4.7204,
"step": 111
},
{
"epoch": 1.01,
"learning_rate": 6.599999999999999e-05,
"loss": 6.9572,
"step": 112
},
{
"epoch": 1.02,
"learning_rate": 6.659999999999999e-05,
"loss": 4.5871,
"step": 113
},
{
"epoch": 1.03,
"learning_rate": 6.72e-05,
"loss": 4.4989,
"step": 114
},
{
"epoch": 1.04,
"learning_rate": 6.78e-05,
"loss": 4.4903,
"step": 115
},
{
"epoch": 1.04,
"learning_rate": 6.84e-05,
"loss": 4.4851,
"step": 116
},
{
"epoch": 1.05,
"learning_rate": 6.9e-05,
"loss": 4.4768,
"step": 117
},
{
"epoch": 1.06,
"learning_rate": 6.96e-05,
"loss": 4.4474,
"step": 118
},
{
"epoch": 1.07,
"learning_rate": 7.02e-05,
"loss": 4.4565,
"step": 119
},
{
"epoch": 1.08,
"learning_rate": 7.079999999999999e-05,
"loss": 4.4612,
"step": 120
},
{
"epoch": 1.09,
"learning_rate": 7.139999999999999e-05,
"loss": 4.4651,
"step": 121
},
{
"epoch": 1.1,
"learning_rate": 7.199999999999999e-05,
"loss": 4.3432,
"step": 122
},
{
"epoch": 1.11,
"learning_rate": 7.259999999999999e-05,
"loss": 4.3871,
"step": 123
},
{
"epoch": 1.12,
"learning_rate": 7.319999999999999e-05,
"loss": 4.3813,
"step": 124
},
{
"epoch": 1.13,
"learning_rate": 7.379999999999999e-05,
"loss": 4.3116,
"step": 125
},
{
"epoch": 1.13,
"learning_rate": 7.439999999999999e-05,
"loss": 4.2469,
"step": 126
},
{
"epoch": 1.14,
"learning_rate": 7.5e-05,
"loss": 4.2718,
"step": 127
},
{
"epoch": 1.15,
"learning_rate": 7.56e-05,
"loss": 4.3074,
"step": 128
},
{
"epoch": 1.16,
"learning_rate": 7.62e-05,
"loss": 4.3431,
"step": 129
},
{
"epoch": 1.17,
"learning_rate": 7.68e-05,
"loss": 4.3321,
"step": 130
},
{
"epoch": 1.18,
"learning_rate": 7.74e-05,
"loss": 4.2847,
"step": 131
},
{
"epoch": 1.19,
"learning_rate": 7.8e-05,
"loss": 4.3293,
"step": 132
},
{
"epoch": 1.2,
"learning_rate": 7.86e-05,
"loss": 4.3492,
"step": 133
},
{
"epoch": 1.21,
"learning_rate": 7.92e-05,
"loss": 4.2798,
"step": 134
},
{
"epoch": 1.22,
"learning_rate": 7.98e-05,
"loss": 4.3546,
"step": 135
},
{
"epoch": 1.22,
"learning_rate": 8.04e-05,
"loss": 4.235,
"step": 136
},
{
"epoch": 1.23,
"learning_rate": 8.1e-05,
"loss": 5.5645,
"step": 137
},
{
"epoch": 1.24,
"learning_rate": 8.16e-05,
"loss": 5.6934,
"step": 138
},
{
"epoch": 1.25,
"learning_rate": 8.22e-05,
"loss": 5.5843,
"step": 139
},
{
"epoch": 1.26,
"learning_rate": 8.28e-05,
"loss": 5.3033,
"step": 140
},
{
"epoch": 1.27,
"learning_rate": 8.34e-05,
"loss": 4.9826,
"step": 141
},
{
"epoch": 1.28,
"learning_rate": 8.4e-05,
"loss": 4.7511,
"step": 142
},
{
"epoch": 1.29,
"learning_rate": 8.459999999999998e-05,
"loss": 4.5923,
"step": 143
},
{
"epoch": 1.3,
"learning_rate": 8.519999999999998e-05,
"loss": 4.4865,
"step": 144
},
{
"epoch": 1.3,
"learning_rate": 8.579999999999998e-05,
"loss": 4.4707,
"step": 145
},
{
"epoch": 1.31,
"learning_rate": 8.639999999999999e-05,
"loss": 4.4407,
"step": 146
},
{
"epoch": 1.32,
"learning_rate": 8.699999999999999e-05,
"loss": 4.4704,
"step": 147
},
{
"epoch": 1.33,
"learning_rate": 8.759999999999999e-05,
"loss": 4.3955,
"step": 148
},
{
"epoch": 1.34,
"learning_rate": 8.819999999999999e-05,
"loss": 4.4305,
"step": 149
},
{
"epoch": 1.35,
"learning_rate": 8.879999999999999e-05,
"loss": 4.4178,
"step": 150
},
{
"epoch": 1.36,
"learning_rate": 8.939999999999999e-05,
"loss": 4.3738,
"step": 151
},
{
"epoch": 1.37,
"learning_rate": 8.999999999999999e-05,
"loss": 4.345,
"step": 152
},
{
"epoch": 1.38,
"learning_rate": 9.059999999999999e-05,
"loss": 4.3189,
"step": 153
},
{
"epoch": 1.39,
"learning_rate": 9.12e-05,
"loss": 4.3548,
"step": 154
},
{
"epoch": 1.39,
"learning_rate": 9.18e-05,
"loss": 4.3476,
"step": 155
},
{
"epoch": 1.4,
"learning_rate": 9.24e-05,
"loss": 4.3373,
"step": 156
},
{
"epoch": 1.41,
"learning_rate": 9.3e-05,
"loss": 4.3655,
"step": 157
},
{
"epoch": 1.42,
"learning_rate": 9.36e-05,
"loss": 4.3406,
"step": 158
},
{
"epoch": 1.43,
"learning_rate": 9.419999999999999e-05,
"loss": 4.2992,
"step": 159
},
{
"epoch": 1.44,
"learning_rate": 9.479999999999999e-05,
"loss": 4.3091,
"step": 160
},
{
"epoch": 1.45,
"learning_rate": 9.539999999999999e-05,
"loss": 4.2523,
"step": 161
},
{
"epoch": 1.46,
"learning_rate": 9.599999999999999e-05,
"loss": 5.3727,
"step": 162
},
{
"epoch": 1.47,
"learning_rate": 9.659999999999999e-05,
"loss": 5.5254,
"step": 163
},
{
"epoch": 1.48,
"learning_rate": 9.719999999999999e-05,
"loss": 5.3926,
"step": 164
},
{
"epoch": 1.48,
"learning_rate": 9.779999999999999e-05,
"loss": 5.1976,
"step": 165
},
{
"epoch": 1.49,
"learning_rate": 9.839999999999999e-05,
"loss": 4.84,
"step": 166
},
{
"epoch": 1.5,
"learning_rate": 9.9e-05,
"loss": 4.6971,
"step": 167
},
{
"epoch": 1.51,
"learning_rate": 9.96e-05,
"loss": 4.6292,
"step": 168
},
{
"epoch": 1.52,
"learning_rate": 0.0001002,
"loss": 4.5307,
"step": 169
},
{
"epoch": 1.53,
"learning_rate": 0.0001008,
"loss": 4.4417,
"step": 170
},
{
"epoch": 1.54,
"learning_rate": 0.0001014,
"loss": 4.471,
"step": 171
},
{
"epoch": 1.55,
"learning_rate": 0.000102,
"loss": 4.4859,
"step": 172
},
{
"epoch": 1.56,
"learning_rate": 0.0001026,
"loss": 4.4296,
"step": 173
},
{
"epoch": 1.57,
"learning_rate": 0.00010319999999999999,
"loss": 4.415,
"step": 174
},
{
"epoch": 1.57,
"learning_rate": 0.00010379999999999999,
"loss": 4.346,
"step": 175
},
{
"epoch": 1.58,
"learning_rate": 0.00010439999999999999,
"loss": 4.3523,
"step": 176
},
{
"epoch": 1.59,
"learning_rate": 0.00010499999999999999,
"loss": 4.2742,
"step": 177
},
{
"epoch": 1.6,
"learning_rate": 0.00010559999999999998,
"loss": 4.3161,
"step": 178
},
{
"epoch": 1.61,
"learning_rate": 0.00010619999999999998,
"loss": 4.3355,
"step": 179
},
{
"epoch": 1.62,
"learning_rate": 0.00010679999999999998,
"loss": 4.2709,
"step": 180
},
{
"epoch": 1.63,
"learning_rate": 0.00010739999999999998,
"loss": 4.2814,
"step": 181
},
{
"epoch": 1.64,
"learning_rate": 0.00010799999999999998,
"loss": 4.282,
"step": 182
},
{
"epoch": 1.65,
"learning_rate": 0.00010859999999999998,
"loss": 4.2875,
"step": 183
},
{
"epoch": 1.65,
"learning_rate": 0.00010919999999999998,
"loss": 4.3036,
"step": 184
},
{
"epoch": 1.66,
"learning_rate": 0.00010979999999999999,
"loss": 4.2712,
"step": 185
},
{
"epoch": 1.67,
"learning_rate": 0.00011039999999999999,
"loss": 4.0503,
"step": 186
},
{
"epoch": 1.68,
"learning_rate": 0.00011099999999999999,
"loss": 5.436,
"step": 187
},
{
"epoch": 1.69,
"learning_rate": 0.00011159999999999999,
"loss": 5.7089,
"step": 188
},
{
"epoch": 1.7,
"learning_rate": 0.00011219999999999999,
"loss": 5.6178,
"step": 189
},
{
"epoch": 1.71,
"learning_rate": 0.00011279999999999999,
"loss": 5.3762,
"step": 190
},
{
"epoch": 1.72,
"learning_rate": 0.00011339999999999999,
"loss": 4.9978,
"step": 191
},
{
"epoch": 1.73,
"learning_rate": 0.00011399999999999999,
"loss": 4.7483,
"step": 192
},
{
"epoch": 1.74,
"learning_rate": 0.0001146,
"loss": 4.6654,
"step": 193
},
{
"epoch": 1.74,
"learning_rate": 0.0001152,
"loss": 4.585,
"step": 194
},
{
"epoch": 1.75,
"learning_rate": 0.0001158,
"loss": 4.4605,
"step": 195
},
{
"epoch": 1.76,
"learning_rate": 0.0001164,
"loss": 4.4682,
"step": 196
},
{
"epoch": 1.77,
"learning_rate": 0.000117,
"loss": 4.4438,
"step": 197
},
{
"epoch": 1.78,
"learning_rate": 0.0001176,
"loss": 4.3513,
"step": 198
},
{
"epoch": 1.79,
"learning_rate": 0.0001182,
"loss": 4.3653,
"step": 199
},
{
"epoch": 1.8,
"learning_rate": 0.0001188,
"loss": 4.2853,
"step": 200
},
{
"epoch": 1.81,
"learning_rate": 0.0001194,
"loss": 4.2774,
"step": 201
},
{
"epoch": 1.82,
"learning_rate": 0.00011999999999999999,
"loss": 4.3431,
"step": 202
},
{
"epoch": 1.83,
"learning_rate": 0.00012059999999999999,
"loss": 4.2969,
"step": 203
},
{
"epoch": 1.83,
"learning_rate": 0.00012119999999999999,
"loss": 4.3317,
"step": 204
},
{
"epoch": 1.84,
"learning_rate": 0.00012179999999999999,
"loss": 4.2546,
"step": 205
},
{
"epoch": 1.85,
"learning_rate": 0.0001224,
"loss": 4.3031,
"step": 206
},
{
"epoch": 1.86,
"learning_rate": 0.00012299999999999998,
"loss": 4.2682,
"step": 207
},
{
"epoch": 1.87,
"learning_rate": 0.0001236,
"loss": 4.3388,
"step": 208
},
{
"epoch": 1.88,
"learning_rate": 0.00012419999999999998,
"loss": 4.2636,
"step": 209
},
{
"epoch": 1.89,
"learning_rate": 0.00012479999999999997,
"loss": 4.1723,
"step": 210
},
{
"epoch": 1.9,
"learning_rate": 0.00012539999999999999,
"loss": 4.2299,
"step": 211
},
{
"epoch": 1.91,
"learning_rate": 0.00012599999999999997,
"loss": 5.1353,
"step": 212
},
{
"epoch": 1.91,
"learning_rate": 0.0001266,
"loss": 5.3656,
"step": 213
},
{
"epoch": 1.92,
"learning_rate": 0.00012719999999999997,
"loss": 5.2901,
"step": 214
},
{
"epoch": 1.93,
"learning_rate": 0.0001278,
"loss": 4.9679,
"step": 215
},
{
"epoch": 1.94,
"learning_rate": 0.00012839999999999998,
"loss": 4.74,
"step": 216
},
{
"epoch": 1.95,
"learning_rate": 0.000129,
"loss": 4.6402,
"step": 217
},
{
"epoch": 1.96,
"learning_rate": 0.00012959999999999998,
"loss": 4.5565,
"step": 218
},
{
"epoch": 1.97,
"learning_rate": 0.0001302,
"loss": 4.3116,
"step": 219
},
{
"epoch": 1.98,
"learning_rate": 0.00013079999999999998,
"loss": 4.3372,
"step": 220
},
{
"epoch": 1.99,
"learning_rate": 0.0001314,
"loss": 4.4229,
"step": 221
},
{
"epoch": 2.0,
"learning_rate": 0.00013199999999999998,
"loss": 4.2879,
"step": 222
},
{
"epoch": 2.01,
"learning_rate": 0.0001326,
"loss": 6.599,
"step": 223
},
{
"epoch": 2.02,
"learning_rate": 0.00013319999999999999,
"loss": 4.4173,
"step": 224
},
{
"epoch": 2.03,
"learning_rate": 0.0001338,
"loss": 4.423,
"step": 225
},
{
"epoch": 2.04,
"learning_rate": 0.0001344,
"loss": 4.3792,
"step": 226
},
{
"epoch": 2.04,
"learning_rate": 0.000135,
"loss": 4.3279,
"step": 227
},
{
"epoch": 2.05,
"learning_rate": 0.0001356,
"loss": 4.2576,
"step": 228
},
{
"epoch": 2.06,
"learning_rate": 0.0001362,
"loss": 4.1748,
"step": 229
},
{
"epoch": 2.07,
"learning_rate": 0.0001368,
"loss": 4.1601,
"step": 230
},
{
"epoch": 2.08,
"learning_rate": 0.0001374,
"loss": 4.1532,
"step": 231
},
{
"epoch": 2.09,
"learning_rate": 0.000138,
"loss": 4.08,
"step": 232
},
{
"epoch": 2.1,
"learning_rate": 0.0001386,
"loss": 4.089,
"step": 233
},
{
"epoch": 2.11,
"learning_rate": 0.0001392,
"loss": 4.0562,
"step": 234
},
{
"epoch": 2.12,
"learning_rate": 0.00013979999999999998,
"loss": 4.0354,
"step": 235
},
{
"epoch": 2.13,
"learning_rate": 0.0001404,
"loss": 3.9942,
"step": 236
},
{
"epoch": 2.13,
"learning_rate": 0.00014099999999999998,
"loss": 3.9382,
"step": 237
},
{
"epoch": 2.14,
"learning_rate": 0.00014159999999999997,
"loss": 3.8565,
"step": 238
},
{
"epoch": 2.15,
"learning_rate": 0.0001422,
"loss": 3.8866,
"step": 239
},
{
"epoch": 2.16,
"learning_rate": 0.00014279999999999997,
"loss": 3.8903,
"step": 240
},
{
"epoch": 2.17,
"learning_rate": 0.0001434,
"loss": 3.801,
"step": 241
},
{
"epoch": 2.18,
"learning_rate": 0.00014399999999999998,
"loss": 3.8563,
"step": 242
},
{
"epoch": 2.19,
"learning_rate": 0.0001446,
"loss": 3.8008,
"step": 243
},
{
"epoch": 2.2,
"learning_rate": 0.00014519999999999998,
"loss": 3.7619,
"step": 244
},
{
"epoch": 2.21,
"learning_rate": 0.0001458,
"loss": 3.7284,
"step": 245
},
{
"epoch": 2.22,
"learning_rate": 0.00014639999999999998,
"loss": 3.6987,
"step": 246
},
{
"epoch": 2.22,
"learning_rate": 0.000147,
"loss": 3.5216,
"step": 247
},
{
"epoch": 2.23,
"learning_rate": 0.00014759999999999998,
"loss": 5.8039,
"step": 248
},
{
"epoch": 2.24,
"learning_rate": 0.0001482,
"loss": 5.738,
"step": 249
},
{
"epoch": 2.25,
"learning_rate": 0.00014879999999999998,
"loss": 5.4078,
"step": 250
},
{
"epoch": 2.26,
"learning_rate": 0.0001494,
"loss": 5.0056,
"step": 251
},
{
"epoch": 2.27,
"learning_rate": 0.00015,
"loss": 4.8029,
"step": 252
},
{
"epoch": 2.28,
"learning_rate": 0.00015059999999999997,
"loss": 4.6233,
"step": 253
},
{
"epoch": 2.29,
"learning_rate": 0.0001512,
"loss": 4.4243,
"step": 254
},
{
"epoch": 2.3,
"learning_rate": 0.00015179999999999998,
"loss": 4.2563,
"step": 255
},
{
"epoch": 2.3,
"learning_rate": 0.0001524,
"loss": 4.2108,
"step": 256
},
{
"epoch": 2.31,
"learning_rate": 0.00015299999999999998,
"loss": 4.1417,
"step": 257
},
{
"epoch": 2.32,
"learning_rate": 0.0001536,
"loss": 4.2294,
"step": 258
},
{
"epoch": 2.33,
"learning_rate": 0.00015419999999999998,
"loss": 4.1063,
"step": 259
},
{
"epoch": 2.34,
"learning_rate": 0.0001548,
"loss": 4.0417,
"step": 260
},
{
"epoch": 2.35,
"learning_rate": 0.00015539999999999998,
"loss": 3.9855,
"step": 261
},
{
"epoch": 2.36,
"learning_rate": 0.000156,
"loss": 3.9049,
"step": 262
},
{
"epoch": 2.37,
"learning_rate": 0.00015659999999999998,
"loss": 3.9212,
"step": 263
},
{
"epoch": 2.38,
"learning_rate": 0.0001572,
"loss": 3.8797,
"step": 264
},
{
"epoch": 2.39,
"learning_rate": 0.0001578,
"loss": 3.9043,
"step": 265
},
{
"epoch": 2.39,
"learning_rate": 0.0001584,
"loss": 3.8784,
"step": 266
},
{
"epoch": 2.4,
"learning_rate": 0.000159,
"loss": 3.8376,
"step": 267
},
{
"epoch": 2.41,
"learning_rate": 0.0001596,
"loss": 3.916,
"step": 268
},
{
"epoch": 2.42,
"learning_rate": 0.0001602,
"loss": 3.9107,
"step": 269
},
{
"epoch": 2.43,
"learning_rate": 0.0001608,
"loss": 3.7992,
"step": 270
},
{
"epoch": 2.44,
"learning_rate": 0.0001614,
"loss": 3.6413,
"step": 271
},
{
"epoch": 2.45,
"learning_rate": 0.000162,
"loss": 3.5566,
"step": 272
},
{
"epoch": 2.46,
"learning_rate": 0.0001626,
"loss": 5.6041,
"step": 273
},
{
"epoch": 2.47,
"learning_rate": 0.0001632,
"loss": 5.8567,
"step": 274
},
{
"epoch": 2.48,
"learning_rate": 0.0001638,
"loss": 5.6862,
"step": 275
},
{
"epoch": 2.48,
"learning_rate": 0.0001644,
"loss": 5.4036,
"step": 276
},
{
"epoch": 2.49,
"learning_rate": 0.000165,
"loss": 4.9913,
"step": 277
},
{
"epoch": 2.5,
"learning_rate": 0.0001656,
"loss": 4.7303,
"step": 278
},
{
"epoch": 2.51,
"learning_rate": 0.0001662,
"loss": 4.5465,
"step": 279
},
{
"epoch": 2.52,
"learning_rate": 0.0001668,
"loss": 4.33,
"step": 280
},
{
"epoch": 2.53,
"learning_rate": 0.0001674,
"loss": 4.2422,
"step": 281
},
{
"epoch": 2.54,
"learning_rate": 0.000168,
"loss": 4.2522,
"step": 282
},
{
"epoch": 2.55,
"learning_rate": 0.0001686,
"loss": 4.1577,
"step": 283
},
{
"epoch": 2.56,
"learning_rate": 0.00016919999999999997,
"loss": 4.1028,
"step": 284
},
{
"epoch": 2.57,
"learning_rate": 0.00016979999999999998,
"loss": 4.1082,
"step": 285
},
{
"epoch": 2.57,
"learning_rate": 0.00017039999999999997,
"loss": 4.0649,
"step": 286
},
{
"epoch": 2.58,
"learning_rate": 0.00017099999999999998,
"loss": 4.0507,
"step": 287
},
{
"epoch": 2.59,
"learning_rate": 0.00017159999999999997,
"loss": 3.921,
"step": 288
},
{
"epoch": 2.6,
"learning_rate": 0.00017219999999999998,
"loss": 3.9083,
"step": 289
},
{
"epoch": 2.61,
"learning_rate": 0.00017279999999999997,
"loss": 3.8807,
"step": 290
},
{
"epoch": 2.62,
"learning_rate": 0.00017339999999999996,
"loss": 3.9007,
"step": 291
},
{
"epoch": 2.63,
"learning_rate": 0.00017399999999999997,
"loss": 3.8992,
"step": 292
},
{
"epoch": 2.64,
"learning_rate": 0.00017459999999999996,
"loss": 3.9531,
"step": 293
},
{
"epoch": 2.65,
"learning_rate": 0.00017519999999999998,
"loss": 3.8481,
"step": 294
},
{
"epoch": 2.65,
"learning_rate": 0.00017579999999999996,
"loss": 3.7191,
"step": 295
},
{
"epoch": 2.66,
"learning_rate": 0.00017639999999999998,
"loss": 3.5684,
"step": 296
},
{
"epoch": 2.67,
"learning_rate": 0.00017699999999999997,
"loss": 3.4456,
"step": 297
},
{
"epoch": 2.68,
"learning_rate": 0.00017759999999999998,
"loss": 5.4417,
"step": 298
},
{
"epoch": 2.69,
"learning_rate": 0.00017819999999999997,
"loss": 5.4952,
"step": 299
},
{
"epoch": 2.7,
"learning_rate": 0.00017879999999999998,
"loss": 5.2771,
"step": 300
},
{
"epoch": 2.71,
"learning_rate": 0.00017939999999999997,
"loss": 4.9689,
"step": 301
},
{
"epoch": 2.72,
"learning_rate": 0.00017999999999999998,
"loss": 4.709,
"step": 302
},
{
"epoch": 2.73,
"learning_rate": 0.00018059999999999997,
"loss": 4.507,
"step": 303
},
{
"epoch": 2.74,
"learning_rate": 0.00018119999999999999,
"loss": 4.3383,
"step": 304
},
{
"epoch": 2.74,
"learning_rate": 0.00018179999999999997,
"loss": 4.2212,
"step": 305
},
{
"epoch": 2.75,
"learning_rate": 0.0001824,
"loss": 4.2254,
"step": 306
},
{
"epoch": 2.76,
"learning_rate": 0.00018299999999999998,
"loss": 4.2006,
"step": 307
},
{
"epoch": 2.77,
"learning_rate": 0.0001836,
"loss": 4.0609,
"step": 308
},
{
"epoch": 2.78,
"learning_rate": 0.00018419999999999998,
"loss": 4.0235,
"step": 309
},
{
"epoch": 2.79,
"learning_rate": 0.0001848,
"loss": 4.0431,
"step": 310
},
{
"epoch": 2.8,
"learning_rate": 0.00018539999999999998,
"loss": 3.9653,
"step": 311
},
{
"epoch": 2.81,
"learning_rate": 0.000186,
"loss": 3.9405,
"step": 312
},
{
"epoch": 2.82,
"learning_rate": 0.00018659999999999998,
"loss": 3.8778,
"step": 313
},
{
"epoch": 2.83,
"learning_rate": 0.0001872,
"loss": 3.8905,
"step": 314
},
{
"epoch": 2.83,
"learning_rate": 0.00018779999999999998,
"loss": 3.8976,
"step": 315
},
{
"epoch": 2.84,
"learning_rate": 0.00018839999999999997,
"loss": 3.8547,
"step": 316
},
{
"epoch": 2.85,
"learning_rate": 0.00018899999999999999,
"loss": 3.8121,
"step": 317
},
{
"epoch": 2.86,
"learning_rate": 0.00018959999999999997,
"loss": 3.8189,
"step": 318
},
{
"epoch": 2.87,
"learning_rate": 0.0001902,
"loss": 3.7694,
"step": 319
},
{
"epoch": 2.88,
"learning_rate": 0.00019079999999999998,
"loss": 3.6308,
"step": 320
},
{
"epoch": 2.89,
"learning_rate": 0.0001914,
"loss": 3.5794,
"step": 321
},
{
"epoch": 2.9,
"learning_rate": 0.00019199999999999998,
"loss": 3.3702,
"step": 322
},
{
"epoch": 2.91,
"learning_rate": 0.0001926,
"loss": 5.1264,
"step": 323
},
{
"epoch": 2.91,
"learning_rate": 0.00019319999999999998,
"loss": 4.9258,
"step": 324
},
{
"epoch": 2.92,
"learning_rate": 0.0001938,
"loss": 4.3596,
"step": 325
},
{
"epoch": 2.93,
"learning_rate": 0.00019439999999999998,
"loss": 4.2863,
"step": 326
},
{
"epoch": 2.94,
"learning_rate": 0.000195,
"loss": 4.1943,
"step": 327
},
{
"epoch": 2.95,
"learning_rate": 0.00019559999999999998,
"loss": 4.2371,
"step": 328
},
{
"epoch": 2.96,
"learning_rate": 0.0001962,
"loss": 4.0108,
"step": 329
},
{
"epoch": 2.97,
"learning_rate": 0.00019679999999999999,
"loss": 3.9665,
"step": 330
},
{
"epoch": 2.98,
"learning_rate": 0.0001974,
"loss": 3.9371,
"step": 331
},
{
"epoch": 2.99,
"learning_rate": 0.000198,
"loss": 3.8094,
"step": 332
},
{
"epoch": 3.0,
"learning_rate": 0.0001986,
"loss": 3.6996,
"step": 333
},
{
"epoch": 3.01,
"learning_rate": 0.0001992,
"loss": 6.1462,
"step": 334
},
{
"epoch": 3.02,
"learning_rate": 0.0001998,
"loss": 4.3462,
"step": 335
},
{
"epoch": 3.03,
"learning_rate": 0.0002004,
"loss": 4.1581,
"step": 336
},
{
"epoch": 3.04,
"learning_rate": 0.000201,
"loss": 4.1832,
"step": 337
},
{
"epoch": 3.04,
"learning_rate": 0.0002016,
"loss": 4.1241,
"step": 338
},
{
"epoch": 3.05,
"learning_rate": 0.0002022,
"loss": 3.9371,
"step": 339
},
{
"epoch": 3.06,
"learning_rate": 0.0002028,
"loss": 3.8334,
"step": 340
},
{
"epoch": 3.07,
"learning_rate": 0.00020339999999999998,
"loss": 3.7693,
"step": 341
},
{
"epoch": 3.08,
"learning_rate": 0.000204,
"loss": 3.7465,
"step": 342
},
{
"epoch": 3.09,
"learning_rate": 0.00020459999999999999,
"loss": 3.6217,
"step": 343
},
{
"epoch": 3.1,
"learning_rate": 0.0002052,
"loss": 3.6467,
"step": 344
},
{
"epoch": 3.11,
"learning_rate": 0.0002058,
"loss": 3.5401,
"step": 345
},
{
"epoch": 3.12,
"learning_rate": 0.00020639999999999998,
"loss": 3.5786,
"step": 346
},
{
"epoch": 3.13,
"learning_rate": 0.00020699999999999996,
"loss": 3.4404,
"step": 347
},
{
"epoch": 3.13,
"learning_rate": 0.00020759999999999998,
"loss": 3.3864,
"step": 348
},
{
"epoch": 3.14,
"learning_rate": 0.00020819999999999996,
"loss": 3.2147,
"step": 349
},
{
"epoch": 3.15,
"learning_rate": 0.00020879999999999998,
"loss": 3.3568,
"step": 350
},
{
"epoch": 3.16,
"learning_rate": 0.00020939999999999997,
"loss": 3.34,
"step": 351
},
{
"epoch": 3.17,
"learning_rate": 0.00020999999999999998,
"loss": 3.2556,
"step": 352
},
{
"epoch": 3.18,
"learning_rate": 0.00021059999999999997,
"loss": 3.2095,
"step": 353
},
{
"epoch": 3.19,
"learning_rate": 0.00021119999999999996,
"loss": 3.237,
"step": 354
},
{
"epoch": 3.2,
"learning_rate": 0.00021179999999999997,
"loss": 3.0777,
"step": 355
},
{
"epoch": 3.21,
"learning_rate": 0.00021239999999999996,
"loss": 2.9569,
"step": 356
},
{
"epoch": 3.22,
"learning_rate": 0.00021299999999999997,
"loss": 2.5873,
"step": 357
},
{
"epoch": 3.22,
"learning_rate": 0.00021359999999999996,
"loss": 2.4589,
"step": 358
},
{
"epoch": 3.23,
"learning_rate": 0.00021419999999999998,
"loss": 5.7497,
"step": 359
},
{
"epoch": 3.24,
"learning_rate": 0.00021479999999999996,
"loss": 5.7524,
"step": 360
},
{
"epoch": 3.25,
"learning_rate": 0.00021539999999999998,
"loss": 5.2796,
"step": 361
},
{
"epoch": 3.26,
"learning_rate": 0.00021599999999999996,
"loss": 4.8365,
"step": 362
},
{
"epoch": 3.27,
"learning_rate": 0.00021659999999999998,
"loss": 4.4809,
"step": 363
},
{
"epoch": 3.28,
"learning_rate": 0.00021719999999999997,
"loss": 4.1632,
"step": 364
},
{
"epoch": 3.29,
"learning_rate": 0.00021779999999999998,
"loss": 3.9612,
"step": 365
},
{
"epoch": 3.3,
"learning_rate": 0.00021839999999999997,
"loss": 3.9396,
"step": 366
},
{
"epoch": 3.3,
"learning_rate": 0.00021899999999999998,
"loss": 3.8539,
"step": 367
},
{
"epoch": 3.31,
"learning_rate": 0.00021959999999999997,
"loss": 3.7321,
"step": 368
},
{
"epoch": 3.32,
"learning_rate": 0.00022019999999999999,
"loss": 3.6681,
"step": 369
},
{
"epoch": 3.33,
"learning_rate": 0.00022079999999999997,
"loss": 3.6725,
"step": 370
},
{
"epoch": 3.34,
"learning_rate": 0.0002214,
"loss": 3.5996,
"step": 371
},
{
"epoch": 3.35,
"learning_rate": 0.00022199999999999998,
"loss": 3.502,
"step": 372
},
{
"epoch": 3.36,
"learning_rate": 0.0002226,
"loss": 3.4053,
"step": 373
},
{
"epoch": 3.37,
"learning_rate": 0.00022319999999999998,
"loss": 3.3827,
"step": 374
},
{
"epoch": 3.38,
"learning_rate": 0.0002238,
"loss": 3.3173,
"step": 375
},
{
"epoch": 3.39,
"learning_rate": 0.00022439999999999998,
"loss": 3.315,
"step": 376
},
{
"epoch": 3.39,
"learning_rate": 0.000225,
"loss": 3.3281,
"step": 377
},
{
"epoch": 3.4,
"learning_rate": 0.00022559999999999998,
"loss": 3.27,
"step": 378
},
{
"epoch": 3.41,
"learning_rate": 0.00022619999999999997,
"loss": 3.2502,
"step": 379
},
{
"epoch": 3.42,
"learning_rate": 0.00022679999999999998,
"loss": 3.1024,
"step": 380
},
{
"epoch": 3.43,
"learning_rate": 0.00022739999999999997,
"loss": 2.9408,
"step": 381
},
{
"epoch": 3.44,
"learning_rate": 0.00022799999999999999,
"loss": 2.7313,
"step": 382
},
{
"epoch": 3.45,
"learning_rate": 0.00022859999999999997,
"loss": 2.4126,
"step": 383
},
{
"epoch": 3.46,
"learning_rate": 0.0002292,
"loss": 5.2794,
"step": 384
},
{
"epoch": 3.47,
"learning_rate": 0.00022979999999999997,
"loss": 5.2546,
"step": 385
},
{
"epoch": 3.48,
"learning_rate": 0.0002304,
"loss": 4.9179,
"step": 386
},
{
"epoch": 3.48,
"learning_rate": 0.00023099999999999998,
"loss": 4.6224,
"step": 387
},
{
"epoch": 3.49,
"learning_rate": 0.0002316,
"loss": 4.3587,
"step": 388
},
{
"epoch": 3.5,
"learning_rate": 0.00023219999999999998,
"loss": 4.0705,
"step": 389
},
{
"epoch": 3.51,
"learning_rate": 0.0002328,
"loss": 3.9197,
"step": 390
},
{
"epoch": 3.52,
"learning_rate": 0.00023339999999999998,
"loss": 3.8546,
"step": 391
},
{
"epoch": 3.53,
"learning_rate": 0.000234,
"loss": 3.7795,
"step": 392
},
{
"epoch": 3.54,
"learning_rate": 0.00023459999999999998,
"loss": 3.7303,
"step": 393
},
{
"epoch": 3.55,
"learning_rate": 0.0002352,
"loss": 3.7024,
"step": 394
},
{
"epoch": 3.56,
"learning_rate": 0.00023579999999999999,
"loss": 3.5815,
"step": 395
},
{
"epoch": 3.57,
"learning_rate": 0.0002364,
"loss": 3.5363,
"step": 396
},
{
"epoch": 3.57,
"learning_rate": 0.000237,
"loss": 3.494,
"step": 397
},
{
"epoch": 3.58,
"learning_rate": 0.0002376,
"loss": 3.3856,
"step": 398
},
{
"epoch": 3.59,
"learning_rate": 0.0002382,
"loss": 3.3395,
"step": 399
},
{
"epoch": 3.6,
"learning_rate": 0.0002388,
"loss": 3.3198,
"step": 400
},
{
"epoch": 3.61,
"learning_rate": 0.0002394,
"loss": 3.311,
"step": 401
},
{
"epoch": 3.62,
"learning_rate": 0.00023999999999999998,
"loss": 3.2043,
"step": 402
},
{
"epoch": 3.63,
"learning_rate": 0.0002406,
"loss": 3.2077,
"step": 403
},
{
"epoch": 3.64,
"learning_rate": 0.00024119999999999998,
"loss": 3.2145,
"step": 404
},
{
"epoch": 3.65,
"learning_rate": 0.0002418,
"loss": 3.0301,
"step": 405
},
{
"epoch": 3.65,
"learning_rate": 0.00024239999999999998,
"loss": 2.8861,
"step": 406
},
{
"epoch": 3.66,
"learning_rate": 0.000243,
"loss": 2.633,
"step": 407
},
{
"epoch": 3.67,
"learning_rate": 0.00024359999999999999,
"loss": 2.191,
"step": 408
},
{
"epoch": 3.68,
"learning_rate": 0.00024419999999999997,
"loss": 5.444,
"step": 409
},
{
"epoch": 3.69,
"learning_rate": 0.0002448,
"loss": 5.6085,
"step": 410
},
{
"epoch": 3.7,
"learning_rate": 0.00024539999999999995,
"loss": 5.2909,
"step": 411
},
{
"epoch": 3.71,
"learning_rate": 0.00024599999999999996,
"loss": 4.7823,
"step": 412
},
{
"epoch": 3.72,
"learning_rate": 0.0002466,
"loss": 4.4985,
"step": 413
},
{
"epoch": 3.73,
"learning_rate": 0.0002472,
"loss": 4.2019,
"step": 414
},
{
"epoch": 3.74,
"learning_rate": 0.00024779999999999995,
"loss": 4.024,
"step": 415
},
{
"epoch": 3.74,
"learning_rate": 0.00024839999999999997,
"loss": 3.8789,
"step": 416
},
{
"epoch": 3.75,
"learning_rate": 0.000249,
"loss": 3.7719,
"step": 417
},
{
"epoch": 3.76,
"learning_rate": 0.00024959999999999994,
"loss": 3.773,
"step": 418
},
{
"epoch": 3.77,
"learning_rate": 0.00025019999999999996,
"loss": 3.5885,
"step": 419
},
{
"epoch": 3.78,
"learning_rate": 0.00025079999999999997,
"loss": 3.5845,
"step": 420
},
{
"epoch": 3.79,
"learning_rate": 0.0002514,
"loss": 3.523,
"step": 421
},
{
"epoch": 3.8,
"learning_rate": 0.00025199999999999995,
"loss": 3.4934,
"step": 422
},
{
"epoch": 3.81,
"learning_rate": 0.00025259999999999996,
"loss": 3.4074,
"step": 423
},
{
"epoch": 3.82,
"learning_rate": 0.0002532,
"loss": 3.3231,
"step": 424
},
{
"epoch": 3.83,
"learning_rate": 0.0002538,
"loss": 3.3202,
"step": 425
},
{
"epoch": 3.83,
"learning_rate": 0.00025439999999999995,
"loss": 3.2468,
"step": 426
},
{
"epoch": 3.84,
"learning_rate": 0.00025499999999999996,
"loss": 3.2139,
"step": 427
},
{
"epoch": 3.85,
"learning_rate": 0.0002556,
"loss": 3.1771,
"step": 428
},
{
"epoch": 3.86,
"learning_rate": 0.0002562,
"loss": 3.056,
"step": 429
},
{
"epoch": 3.87,
"learning_rate": 0.00025679999999999995,
"loss": 2.9464,
"step": 430
},
{
"epoch": 3.88,
"learning_rate": 0.00025739999999999997,
"loss": 2.7896,
"step": 431
},
{
"epoch": 3.89,
"learning_rate": 0.000258,
"loss": 2.5634,
"step": 432
},
{
"epoch": 3.9,
"learning_rate": 0.0002586,
"loss": 2.1404,
"step": 433
},
{
"epoch": 3.91,
"learning_rate": 0.00025919999999999996,
"loss": 5.0964,
"step": 434
},
{
"epoch": 3.91,
"learning_rate": 0.00025979999999999997,
"loss": 5.1443,
"step": 435
},
{
"epoch": 3.92,
"learning_rate": 0.0002604,
"loss": 4.5983,
"step": 436
},
{
"epoch": 3.93,
"learning_rate": 0.000261,
"loss": 4.1566,
"step": 437
},
{
"epoch": 3.94,
"learning_rate": 0.00026159999999999996,
"loss": 3.7846,
"step": 438
},
{
"epoch": 3.95,
"learning_rate": 0.0002622,
"loss": 3.6671,
"step": 439
},
{
"epoch": 3.96,
"learning_rate": 0.0002628,
"loss": 3.4806,
"step": 440
},
{
"epoch": 3.97,
"learning_rate": 0.00026339999999999995,
"loss": 3.5046,
"step": 441
},
{
"epoch": 3.98,
"learning_rate": 0.00026399999999999997,
"loss": 3.3366,
"step": 442
},
{
"epoch": 3.99,
"learning_rate": 0.0002646,
"loss": 3.1014,
"step": 443
},
{
"epoch": 4.0,
"learning_rate": 0.0002652,
"loss": 2.7035,
"step": 444
},
{
"epoch": 4.01,
"learning_rate": 0.00026579999999999996,
"loss": 5.0943,
"step": 445
},
{
"epoch": 4.02,
"learning_rate": 0.00026639999999999997,
"loss": 3.9256,
"step": 446
},
{
"epoch": 4.03,
"learning_rate": 0.000267,
"loss": 3.7867,
"step": 447
},
{
"epoch": 4.04,
"learning_rate": 0.0002676,
"loss": 3.6839,
"step": 448
},
{
"epoch": 4.04,
"learning_rate": 0.00026819999999999996,
"loss": 3.6042,
"step": 449
},
{
"epoch": 4.05,
"learning_rate": 0.0002688,
"loss": 3.3529,
"step": 450
},
{
"epoch": 4.06,
"learning_rate": 0.0002694,
"loss": 3.3266,
"step": 451
},
{
"epoch": 4.07,
"learning_rate": 0.00027,
"loss": 3.2218,
"step": 452
},
{
"epoch": 4.08,
"learning_rate": 0.00027059999999999996,
"loss": 3.1004,
"step": 453
},
{
"epoch": 4.09,
"learning_rate": 0.0002712,
"loss": 3.0669,
"step": 454
},
{
"epoch": 4.1,
"learning_rate": 0.0002718,
"loss": 2.8998,
"step": 455
},
{
"epoch": 4.11,
"learning_rate": 0.0002724,
"loss": 2.8966,
"step": 456
},
{
"epoch": 4.12,
"learning_rate": 0.00027299999999999997,
"loss": 2.8114,
"step": 457
},
{
"epoch": 4.13,
"learning_rate": 0.0002736,
"loss": 2.6145,
"step": 458
},
{
"epoch": 4.13,
"learning_rate": 0.0002742,
"loss": 2.5475,
"step": 459
},
{
"epoch": 4.14,
"learning_rate": 0.0002742,
"loss": 2.5106,
"step": 460
},
{
"epoch": 4.15,
"learning_rate": 0.0002748,
"loss": 2.4872,
"step": 461
},
{
"epoch": 4.16,
"learning_rate": 0.00027539999999999997,
"loss": 2.3962,
"step": 462
},
{
"epoch": 4.17,
"learning_rate": 0.000276,
"loss": 2.2508,
"step": 463
},
{
"epoch": 4.18,
"learning_rate": 0.0002766,
"loss": 2.201,
"step": 464
},
{
"epoch": 4.19,
"learning_rate": 0.0002772,
"loss": 2.1194,
"step": 465
},
{
"epoch": 4.2,
"learning_rate": 0.0002778,
"loss": 1.8332,
"step": 466
},
{
"epoch": 4.21,
"learning_rate": 0.0002784,
"loss": 1.6656,
"step": 467
},
{
"epoch": 4.22,
"learning_rate": 0.000279,
"loss": 1.2958,
"step": 468
},
{
"epoch": 4.22,
"learning_rate": 0.00027959999999999997,
"loss": 1.0378,
"step": 469
},
{
"epoch": 4.23,
"learning_rate": 0.0002802,
"loss": 5.2736,
"step": 470
},
{
"epoch": 4.24,
"learning_rate": 0.0002808,
"loss": 4.6758,
"step": 471
},
{
"epoch": 4.25,
"learning_rate": 0.00028139999999999996,
"loss": 4.0751,
"step": 472
},
{
"epoch": 4.26,
"learning_rate": 0.00028199999999999997,
"loss": 3.7796,
"step": 473
},
{
"epoch": 4.27,
"learning_rate": 0.0002826,
"loss": 3.4917,
"step": 474
},
{
"epoch": 4.28,
"learning_rate": 0.00028319999999999994,
"loss": 3.2089,
"step": 475
},
{
"epoch": 4.29,
"learning_rate": 0.00028379999999999996,
"loss": 3.0105,
"step": 476
},
{
"epoch": 4.3,
"learning_rate": 0.0002844,
"loss": 2.9742,
"step": 477
},
{
"epoch": 4.3,
"learning_rate": 0.000285,
"loss": 2.8292,
"step": 478
},
{
"epoch": 4.31,
"learning_rate": 0.00028559999999999995,
"loss": 2.7116,
"step": 479
},
{
"epoch": 4.32,
"learning_rate": 0.00028619999999999996,
"loss": 2.5631,
"step": 480
},
{
"epoch": 4.33,
"learning_rate": 0.0002868,
"loss": 2.5057,
"step": 481
},
{
"epoch": 4.34,
"learning_rate": 0.00028739999999999994,
"loss": 2.4719,
"step": 482
},
{
"epoch": 4.35,
"learning_rate": 0.00028799999999999995,
"loss": 2.2309,
"step": 483
},
{
"epoch": 4.36,
"learning_rate": 0.00028859999999999997,
"loss": 2.2296,
"step": 484
},
{
"epoch": 4.37,
"learning_rate": 0.0002892,
"loss": 1.9529,
"step": 485
},
{
"epoch": 4.38,
"learning_rate": 0.00028979999999999994,
"loss": 2.0596,
"step": 486
},
{
"epoch": 4.39,
"learning_rate": 0.00029039999999999996,
"loss": 1.9794,
"step": 487
},
{
"epoch": 4.39,
"learning_rate": 0.00029099999999999997,
"loss": 1.7684,
"step": 488
},
{
"epoch": 4.4,
"learning_rate": 0.0002916,
"loss": 1.5721,
"step": 489
},
{
"epoch": 4.41,
"learning_rate": 0.00029219999999999995,
"loss": 1.6114,
"step": 490
},
{
"epoch": 4.42,
"learning_rate": 0.00029279999999999996,
"loss": 1.4997,
"step": 491
},
{
"epoch": 4.43,
"learning_rate": 0.0002934,
"loss": 1.2318,
"step": 492
},
{
"epoch": 4.44,
"learning_rate": 0.000294,
"loss": 0.9552,
"step": 493
},
{
"epoch": 4.45,
"learning_rate": 0.00029459999999999995,
"loss": 0.8515,
"step": 494
},
{
"epoch": 4.46,
"learning_rate": 0.00029519999999999997,
"loss": 6.105,
"step": 495
},
{
"epoch": 4.47,
"learning_rate": 0.0002958,
"loss": 4.909,
"step": 496
},
{
"epoch": 4.48,
"learning_rate": 0.0002964,
"loss": 3.761,
"step": 497
},
{
"epoch": 4.48,
"learning_rate": 0.00029699999999999996,
"loss": 3.2873,
"step": 498
},
{
"epoch": 4.49,
"learning_rate": 0.00029759999999999997,
"loss": 2.961,
"step": 499
},
{
"epoch": 4.5,
"learning_rate": 0.0002982,
"loss": 2.7605,
"step": 500
},
{
"epoch": 4.5,
"eval_loss": 2.6299471855163574,
"eval_runtime": 336.2822,
"eval_samples_per_second": 7.856,
"eval_steps_per_second": 0.494,
"eval_wer": 1.4451408171360571,
"step": 500
},
{
"epoch": 4.51,
"learning_rate": 0.0002988,
"loss": 2.3839,
"step": 501
},
{
"epoch": 4.52,
"learning_rate": 0.00029939999999999996,
"loss": 2.2854,
"step": 502
},
{
"epoch": 4.53,
"learning_rate": 0.0003,
"loss": 2.1582,
"step": 503
},
{
"epoch": 4.54,
"learning_rate": 0.0002995081967213115,
"loss": 1.9157,
"step": 504
},
{
"epoch": 4.55,
"learning_rate": 0.0002990163934426229,
"loss": 1.851,
"step": 505
},
{
"epoch": 4.56,
"learning_rate": 0.00029852459016393437,
"loss": 1.8247,
"step": 506
},
{
"epoch": 4.57,
"learning_rate": 0.00029803278688524587,
"loss": 1.7489,
"step": 507
},
{
"epoch": 4.57,
"learning_rate": 0.00029754098360655737,
"loss": 1.6941,
"step": 508
},
{
"epoch": 4.58,
"learning_rate": 0.0002970491803278688,
"loss": 1.513,
"step": 509
},
{
"epoch": 4.59,
"learning_rate": 0.0002965573770491803,
"loss": 1.401,
"step": 510
},
{
"epoch": 4.6,
"learning_rate": 0.0002960655737704918,
"loss": 1.3516,
"step": 511
},
{
"epoch": 4.61,
"learning_rate": 0.00029557377049180326,
"loss": 1.27,
"step": 512
},
{
"epoch": 4.62,
"learning_rate": 0.0002950819672131147,
"loss": 1.2286,
"step": 513
},
{
"epoch": 4.63,
"learning_rate": 0.0002945901639344262,
"loss": 1.1139,
"step": 514
},
{
"epoch": 4.64,
"learning_rate": 0.0002940983606557377,
"loss": 1.1178,
"step": 515
},
{
"epoch": 4.65,
"learning_rate": 0.00029360655737704916,
"loss": 1.0057,
"step": 516
},
{
"epoch": 4.65,
"learning_rate": 0.0002931147540983606,
"loss": 0.8247,
"step": 517
},
{
"epoch": 4.66,
"learning_rate": 0.0002926229508196721,
"loss": 0.7677,
"step": 518
},
{
"epoch": 4.67,
"learning_rate": 0.00029213114754098355,
"loss": 0.8346,
"step": 519
},
{
"epoch": 4.68,
"learning_rate": 0.00029163934426229505,
"loss": 5.4198,
"step": 520
},
{
"epoch": 4.69,
"learning_rate": 0.00029114754098360655,
"loss": 4.7027,
"step": 521
},
{
"epoch": 4.7,
"learning_rate": 0.000290655737704918,
"loss": 3.6879,
"step": 522
},
{
"epoch": 4.71,
"learning_rate": 0.00029016393442622945,
"loss": 2.9378,
"step": 523
},
{
"epoch": 4.72,
"learning_rate": 0.00028967213114754095,
"loss": 2.511,
"step": 524
},
{
"epoch": 4.73,
"learning_rate": 0.00028918032786885245,
"loss": 2.1899,
"step": 525
},
{
"epoch": 4.74,
"learning_rate": 0.0002886885245901639,
"loss": 1.9893,
"step": 526
},
{
"epoch": 4.74,
"learning_rate": 0.0002881967213114754,
"loss": 1.7267,
"step": 527
},
{
"epoch": 4.75,
"learning_rate": 0.00028770491803278684,
"loss": 1.5322,
"step": 528
},
{
"epoch": 4.76,
"learning_rate": 0.00028721311475409834,
"loss": 1.4467,
"step": 529
},
{
"epoch": 4.77,
"learning_rate": 0.0002867213114754098,
"loss": 1.3211,
"step": 530
},
{
"epoch": 4.78,
"learning_rate": 0.0002862295081967213,
"loss": 1.1658,
"step": 531
},
{
"epoch": 4.79,
"learning_rate": 0.0002857377049180328,
"loss": 1.1107,
"step": 532
},
{
"epoch": 4.8,
"learning_rate": 0.00028524590163934424,
"loss": 1.0426,
"step": 533
},
{
"epoch": 4.81,
"learning_rate": 0.0002847540983606557,
"loss": 1.1146,
"step": 534
},
{
"epoch": 4.82,
"learning_rate": 0.0002842622950819672,
"loss": 0.9751,
"step": 535
},
{
"epoch": 4.83,
"learning_rate": 0.0002837704918032787,
"loss": 0.9805,
"step": 536
},
{
"epoch": 4.83,
"learning_rate": 0.00028327868852459013,
"loss": 0.9604,
"step": 537
},
{
"epoch": 4.84,
"learning_rate": 0.00028278688524590163,
"loss": 0.825,
"step": 538
},
{
"epoch": 4.85,
"learning_rate": 0.0002822950819672131,
"loss": 0.8417,
"step": 539
},
{
"epoch": 4.86,
"learning_rate": 0.0002818032786885246,
"loss": 0.851,
"step": 540
},
{
"epoch": 4.87,
"learning_rate": 0.00028131147540983603,
"loss": 0.6944,
"step": 541
},
{
"epoch": 4.88,
"learning_rate": 0.00028081967213114753,
"loss": 0.6604,
"step": 542
},
{
"epoch": 4.89,
"learning_rate": 0.00028032786885245903,
"loss": 0.5602,
"step": 543
},
{
"epoch": 4.9,
"learning_rate": 0.0002798360655737705,
"loss": 0.577,
"step": 544
},
{
"epoch": 4.91,
"learning_rate": 0.0002793442622950819,
"loss": 5.3539,
"step": 545
},
{
"epoch": 4.91,
"learning_rate": 0.0002788524590163934,
"loss": 3.4873,
"step": 546
},
{
"epoch": 4.92,
"learning_rate": 0.00027836065573770487,
"loss": 1.9983,
"step": 547
},
{
"epoch": 4.93,
"learning_rate": 0.00027786885245901637,
"loss": 1.6671,
"step": 548
},
{
"epoch": 4.94,
"learning_rate": 0.00027737704918032787,
"loss": 1.535,
"step": 549
},
{
"epoch": 4.95,
"learning_rate": 0.0002768852459016393,
"loss": 1.2795,
"step": 550
},
{
"epoch": 4.96,
"learning_rate": 0.00027639344262295076,
"loss": 1.1159,
"step": 551
},
{
"epoch": 4.97,
"learning_rate": 0.00027590163934426227,
"loss": 0.9898,
"step": 552
},
{
"epoch": 4.98,
"learning_rate": 0.00027540983606557377,
"loss": 0.8807,
"step": 553
},
{
"epoch": 4.99,
"learning_rate": 0.0002749180327868852,
"loss": 0.8109,
"step": 554
},
{
"epoch": 5.0,
"learning_rate": 0.00027442622950819666,
"loss": 0.6494,
"step": 555
},
{
"epoch": 5.01,
"learning_rate": 0.00027393442622950816,
"loss": 1.9571,
"step": 556
},
{
"epoch": 5.02,
"learning_rate": 0.00027344262295081966,
"loss": 1.5384,
"step": 557
},
{
"epoch": 5.03,
"learning_rate": 0.0002729508196721311,
"loss": 1.2256,
"step": 558
},
{
"epoch": 5.04,
"learning_rate": 0.0002724590163934426,
"loss": 1.0547,
"step": 559
},
{
"epoch": 5.04,
"learning_rate": 0.0002719672131147541,
"loss": 0.9737,
"step": 560
},
{
"epoch": 5.05,
"learning_rate": 0.00027147540983606556,
"loss": 0.8202,
"step": 561
},
{
"epoch": 5.06,
"learning_rate": 0.000270983606557377,
"loss": 0.7816,
"step": 562
},
{
"epoch": 5.07,
"learning_rate": 0.0002704918032786885,
"loss": 0.7362,
"step": 563
},
{
"epoch": 5.08,
"learning_rate": 0.00027,
"loss": 0.6287,
"step": 564
},
{
"epoch": 5.09,
"learning_rate": 0.00026950819672131145,
"loss": 0.5932,
"step": 565
},
{
"epoch": 5.1,
"learning_rate": 0.0002690163934426229,
"loss": 0.5249,
"step": 566
},
{
"epoch": 5.11,
"learning_rate": 0.0002685245901639344,
"loss": 0.5345,
"step": 567
},
{
"epoch": 5.12,
"learning_rate": 0.0002680327868852459,
"loss": 0.5351,
"step": 568
},
{
"epoch": 5.13,
"learning_rate": 0.00026754098360655734,
"loss": 0.4818,
"step": 569
},
{
"epoch": 5.13,
"learning_rate": 0.00026704918032786885,
"loss": 0.4507,
"step": 570
},
{
"epoch": 5.14,
"learning_rate": 0.00026655737704918035,
"loss": 0.4339,
"step": 571
},
{
"epoch": 5.15,
"learning_rate": 0.0002660655737704918,
"loss": 0.4029,
"step": 572
},
{
"epoch": 5.16,
"learning_rate": 0.00026557377049180324,
"loss": 0.4651,
"step": 573
},
{
"epoch": 5.17,
"learning_rate": 0.00026508196721311474,
"loss": 0.3721,
"step": 574
},
{
"epoch": 5.18,
"learning_rate": 0.0002645901639344262,
"loss": 0.3766,
"step": 575
},
{
"epoch": 5.19,
"learning_rate": 0.0002640983606557377,
"loss": 0.3318,
"step": 576
},
{
"epoch": 5.2,
"learning_rate": 0.00026360655737704913,
"loss": 0.331,
"step": 577
},
{
"epoch": 5.21,
"learning_rate": 0.00026311475409836063,
"loss": 0.2748,
"step": 578
},
{
"epoch": 5.22,
"learning_rate": 0.0002626229508196721,
"loss": 0.2241,
"step": 579
},
{
"epoch": 5.22,
"learning_rate": 0.0002621311475409836,
"loss": 0.3001,
"step": 580
},
{
"epoch": 5.23,
"learning_rate": 0.0002616393442622951,
"loss": 3.1772,
"step": 581
},
{
"epoch": 5.24,
"learning_rate": 0.00026114754098360653,
"loss": 2.0168,
"step": 582
},
{
"epoch": 5.25,
"learning_rate": 0.000260655737704918,
"loss": 1.2479,
"step": 583
},
{
"epoch": 5.26,
"learning_rate": 0.0002601639344262295,
"loss": 1.2017,
"step": 584
},
{
"epoch": 5.27,
"learning_rate": 0.000259672131147541,
"loss": 1.1079,
"step": 585
},
{
"epoch": 5.28,
"learning_rate": 0.0002591803278688524,
"loss": 0.8699,
"step": 586
},
{
"epoch": 5.29,
"learning_rate": 0.0002586885245901639,
"loss": 0.7881,
"step": 587
},
{
"epoch": 5.3,
"learning_rate": 0.00025819672131147537,
"loss": 0.7279,
"step": 588
},
{
"epoch": 5.3,
"learning_rate": 0.00025770491803278687,
"loss": 0.6572,
"step": 589
},
{
"epoch": 5.31,
"learning_rate": 0.0002572131147540983,
"loss": 0.6395,
"step": 590
},
{
"epoch": 5.32,
"learning_rate": 0.0002567213114754098,
"loss": 0.5414,
"step": 591
},
{
"epoch": 5.33,
"learning_rate": 0.0002562295081967213,
"loss": 0.5121,
"step": 592
},
{
"epoch": 5.34,
"learning_rate": 0.00025573770491803277,
"loss": 0.4897,
"step": 593
},
{
"epoch": 5.35,
"learning_rate": 0.0002552459016393442,
"loss": 0.4312,
"step": 594
},
{
"epoch": 5.36,
"learning_rate": 0.0002547540983606557,
"loss": 0.4397,
"step": 595
},
{
"epoch": 5.37,
"learning_rate": 0.0002542622950819672,
"loss": 0.3896,
"step": 596
},
{
"epoch": 5.38,
"learning_rate": 0.00025377049180327866,
"loss": 0.3908,
"step": 597
},
{
"epoch": 5.39,
"learning_rate": 0.00025327868852459016,
"loss": 0.3858,
"step": 598
},
{
"epoch": 5.39,
"learning_rate": 0.0002527868852459016,
"loss": 0.3354,
"step": 599
},
{
"epoch": 5.4,
"learning_rate": 0.0002522950819672131,
"loss": 0.3314,
"step": 600
},
{
"epoch": 5.41,
"learning_rate": 0.00025180327868852456,
"loss": 0.3332,
"step": 601
},
{
"epoch": 5.42,
"learning_rate": 0.00025131147540983606,
"loss": 0.297,
"step": 602
},
{
"epoch": 5.43,
"learning_rate": 0.00025081967213114756,
"loss": 0.2414,
"step": 603
},
{
"epoch": 5.44,
"learning_rate": 0.000250327868852459,
"loss": 0.2282,
"step": 604
},
{
"epoch": 5.45,
"learning_rate": 0.00024983606557377045,
"loss": 0.3007,
"step": 605
},
{
"epoch": 5.46,
"learning_rate": 0.00024934426229508195,
"loss": 1.9302,
"step": 606
},
{
"epoch": 5.47,
"learning_rate": 0.0002488524590163934,
"loss": 1.4471,
"step": 607
},
{
"epoch": 5.48,
"learning_rate": 0.0002483606557377049,
"loss": 1.0509,
"step": 608
},
{
"epoch": 5.48,
"learning_rate": 0.0002478688524590164,
"loss": 0.9157,
"step": 609
},
{
"epoch": 5.49,
"learning_rate": 0.00024737704918032785,
"loss": 0.8162,
"step": 610
},
{
"epoch": 5.5,
"learning_rate": 0.0002468852459016393,
"loss": 0.6961,
"step": 611
},
{
"epoch": 5.51,
"learning_rate": 0.0002463934426229508,
"loss": 0.6048,
"step": 612
},
{
"epoch": 5.52,
"learning_rate": 0.0002459016393442623,
"loss": 0.6278,
"step": 613
},
{
"epoch": 5.53,
"learning_rate": 0.00024540983606557374,
"loss": 0.5126,
"step": 614
},
{
"epoch": 5.54,
"learning_rate": 0.0002449180327868852,
"loss": 0.4451,
"step": 615
},
{
"epoch": 5.55,
"learning_rate": 0.0002444262295081967,
"loss": 0.4496,
"step": 616
},
{
"epoch": 5.56,
"learning_rate": 0.00024393442622950816,
"loss": 0.3534,
"step": 617
},
{
"epoch": 5.57,
"learning_rate": 0.00024344262295081966,
"loss": 0.3675,
"step": 618
},
{
"epoch": 5.57,
"learning_rate": 0.00024295081967213114,
"loss": 0.3927,
"step": 619
},
{
"epoch": 5.58,
"learning_rate": 0.0002424590163934426,
"loss": 0.3711,
"step": 620
},
{
"epoch": 5.59,
"learning_rate": 0.00024196721311475406,
"loss": 0.3521,
"step": 621
},
{
"epoch": 5.6,
"learning_rate": 0.00024147540983606556,
"loss": 0.3142,
"step": 622
},
{
"epoch": 5.61,
"learning_rate": 0.00024098360655737703,
"loss": 0.3412,
"step": 623
},
{
"epoch": 5.62,
"learning_rate": 0.0002404918032786885,
"loss": 0.2855,
"step": 624
},
{
"epoch": 5.63,
"learning_rate": 0.00023999999999999998,
"loss": 0.3093,
"step": 625
},
{
"epoch": 5.64,
"learning_rate": 0.00023950819672131145,
"loss": 0.3254,
"step": 626
},
{
"epoch": 5.65,
"learning_rate": 0.00023901639344262293,
"loss": 0.3263,
"step": 627
},
{
"epoch": 5.65,
"learning_rate": 0.0002385245901639344,
"loss": 0.2527,
"step": 628
},
{
"epoch": 5.66,
"learning_rate": 0.00023803278688524587,
"loss": 0.2214,
"step": 629
},
{
"epoch": 5.67,
"learning_rate": 0.00023754098360655737,
"loss": 0.305,
"step": 630
},
{
"epoch": 5.68,
"learning_rate": 0.00023704918032786882,
"loss": 1.1692,
"step": 631
},
{
"epoch": 5.69,
"learning_rate": 0.0002365573770491803,
"loss": 0.832,
"step": 632
},
{
"epoch": 5.7,
"learning_rate": 0.00023606557377049177,
"loss": 0.6695,
"step": 633
},
{
"epoch": 5.71,
"learning_rate": 0.00023557377049180327,
"loss": 0.6161,
"step": 634
},
{
"epoch": 5.72,
"learning_rate": 0.00023508196721311474,
"loss": 0.5685,
"step": 635
},
{
"epoch": 5.73,
"learning_rate": 0.00023459016393442622,
"loss": 0.5094,
"step": 636
},
{
"epoch": 5.74,
"learning_rate": 0.00023409836065573766,
"loss": 0.4618,
"step": 637
},
{
"epoch": 5.74,
"learning_rate": 0.00023360655737704916,
"loss": 0.4221,
"step": 638
},
{
"epoch": 5.75,
"learning_rate": 0.00023311475409836064,
"loss": 0.3998,
"step": 639
},
{
"epoch": 5.76,
"learning_rate": 0.0002326229508196721,
"loss": 0.369,
"step": 640
},
{
"epoch": 5.77,
"learning_rate": 0.00023213114754098358,
"loss": 0.3503,
"step": 641
},
{
"epoch": 5.78,
"learning_rate": 0.00023163934426229506,
"loss": 0.3426,
"step": 642
},
{
"epoch": 5.79,
"learning_rate": 0.00023114754098360653,
"loss": 0.3081,
"step": 643
},
{
"epoch": 5.8,
"learning_rate": 0.000230655737704918,
"loss": 0.321,
"step": 644
},
{
"epoch": 5.81,
"learning_rate": 0.00023016393442622948,
"loss": 0.3081,
"step": 645
},
{
"epoch": 5.82,
"learning_rate": 0.00022967213114754098,
"loss": 0.3378,
"step": 646
},
{
"epoch": 5.83,
"learning_rate": 0.00022918032786885245,
"loss": 0.2946,
"step": 647
},
{
"epoch": 5.83,
"learning_rate": 0.0002286885245901639,
"loss": 0.3051,
"step": 648
},
{
"epoch": 5.84,
"learning_rate": 0.00022819672131147537,
"loss": 0.2399,
"step": 649
},
{
"epoch": 5.85,
"learning_rate": 0.00022770491803278688,
"loss": 0.2973,
"step": 650
},
{
"epoch": 5.86,
"learning_rate": 0.00022721311475409835,
"loss": 0.2952,
"step": 651
},
{
"epoch": 5.87,
"learning_rate": 0.00022672131147540982,
"loss": 0.2593,
"step": 652
},
{
"epoch": 5.88,
"learning_rate": 0.00022622950819672127,
"loss": 0.2495,
"step": 653
},
{
"epoch": 5.89,
"learning_rate": 0.00022573770491803277,
"loss": 0.2275,
"step": 654
},
{
"epoch": 5.9,
"learning_rate": 0.00022524590163934424,
"loss": 0.2896,
"step": 655
},
{
"epoch": 5.91,
"learning_rate": 0.00022475409836065572,
"loss": 0.8577,
"step": 656
},
{
"epoch": 5.91,
"learning_rate": 0.0002242622950819672,
"loss": 0.6569,
"step": 657
},
{
"epoch": 5.92,
"learning_rate": 0.0002237704918032787,
"loss": 0.5387,
"step": 658
},
{
"epoch": 5.93,
"learning_rate": 0.00022327868852459014,
"loss": 0.4774,
"step": 659
},
{
"epoch": 5.94,
"learning_rate": 0.0002227868852459016,
"loss": 0.4175,
"step": 660
},
{
"epoch": 5.95,
"learning_rate": 0.00022229508196721309,
"loss": 0.3658,
"step": 661
},
{
"epoch": 5.96,
"learning_rate": 0.00022180327868852459,
"loss": 0.3594,
"step": 662
},
{
"epoch": 5.97,
"learning_rate": 0.00022131147540983606,
"loss": 0.3114,
"step": 663
},
{
"epoch": 5.98,
"learning_rate": 0.0002208196721311475,
"loss": 0.2732,
"step": 664
},
{
"epoch": 5.99,
"learning_rate": 0.00022032786885245898,
"loss": 0.2827,
"step": 665
},
{
"epoch": 6.0,
"learning_rate": 0.00021983606557377048,
"loss": 0.2918,
"step": 666
},
{
"epoch": 6.01,
"learning_rate": 0.00021934426229508195,
"loss": 0.6729,
"step": 667
},
{
"epoch": 6.02,
"learning_rate": 0.00021885245901639343,
"loss": 0.4497,
"step": 668
},
{
"epoch": 6.03,
"learning_rate": 0.0002183606557377049,
"loss": 0.3901,
"step": 669
},
{
"epoch": 6.04,
"learning_rate": 0.00021786885245901638,
"loss": 0.3872,
"step": 670
},
{
"epoch": 6.04,
"learning_rate": 0.00021737704918032785,
"loss": 0.3052,
"step": 671
},
{
"epoch": 6.05,
"learning_rate": 0.00021688524590163932,
"loss": 0.2726,
"step": 672
},
{
"epoch": 6.06,
"learning_rate": 0.0002163934426229508,
"loss": 0.2653,
"step": 673
},
{
"epoch": 6.07,
"learning_rate": 0.0002159016393442623,
"loss": 0.2387,
"step": 674
},
{
"epoch": 6.08,
"learning_rate": 0.00021540983606557374,
"loss": 0.2052,
"step": 675
},
{
"epoch": 6.09,
"learning_rate": 0.00021491803278688522,
"loss": 0.2342,
"step": 676
},
{
"epoch": 6.1,
"learning_rate": 0.0002144262295081967,
"loss": 0.1993,
"step": 677
},
{
"epoch": 6.11,
"learning_rate": 0.0002139344262295082,
"loss": 0.1983,
"step": 678
},
{
"epoch": 6.12,
"learning_rate": 0.00021344262295081967,
"loss": 0.1869,
"step": 679
},
{
"epoch": 6.13,
"learning_rate": 0.00021295081967213114,
"loss": 0.1725,
"step": 680
},
{
"epoch": 6.13,
"learning_rate": 0.00021245901639344259,
"loss": 0.1686,
"step": 681
},
{
"epoch": 6.14,
"learning_rate": 0.0002119672131147541,
"loss": 0.1684,
"step": 682
},
{
"epoch": 6.15,
"learning_rate": 0.00021147540983606556,
"loss": 0.1432,
"step": 683
},
{
"epoch": 6.16,
"learning_rate": 0.00021098360655737703,
"loss": 0.1873,
"step": 684
},
{
"epoch": 6.17,
"learning_rate": 0.0002104918032786885,
"loss": 0.1583,
"step": 685
},
{
"epoch": 6.18,
"learning_rate": 0.00020999999999999998,
"loss": 0.1472,
"step": 686
},
{
"epoch": 6.19,
"learning_rate": 0.00020950819672131146,
"loss": 0.1488,
"step": 687
},
{
"epoch": 6.2,
"learning_rate": 0.00020901639344262293,
"loss": 0.1143,
"step": 688
},
{
"epoch": 6.21,
"learning_rate": 0.0002085245901639344,
"loss": 0.1343,
"step": 689
},
{
"epoch": 6.22,
"learning_rate": 0.0002080327868852459,
"loss": 0.1251,
"step": 690
},
{
"epoch": 6.22,
"learning_rate": 0.00020754098360655735,
"loss": 0.1643,
"step": 691
},
{
"epoch": 6.23,
"learning_rate": 0.00020704918032786882,
"loss": 0.7004,
"step": 692
},
{
"epoch": 6.24,
"learning_rate": 0.0002065573770491803,
"loss": 0.6188,
"step": 693
},
{
"epoch": 6.25,
"learning_rate": 0.0002060655737704918,
"loss": 0.423,
"step": 694
},
{
"epoch": 6.26,
"learning_rate": 0.00020557377049180327,
"loss": 0.3769,
"step": 695
},
{
"epoch": 6.27,
"learning_rate": 0.00020508196721311475,
"loss": 0.376,
"step": 696
},
{
"epoch": 6.28,
"learning_rate": 0.0002045901639344262,
"loss": 0.2984,
"step": 697
},
{
"epoch": 6.29,
"learning_rate": 0.0002040983606557377,
"loss": 0.2631,
"step": 698
},
{
"epoch": 6.3,
"learning_rate": 0.00020360655737704917,
"loss": 0.254,
"step": 699
},
{
"epoch": 6.3,
"learning_rate": 0.00020311475409836064,
"loss": 0.252,
"step": 700
},
{
"epoch": 6.31,
"learning_rate": 0.00020262295081967211,
"loss": 0.2213,
"step": 701
},
{
"epoch": 6.32,
"learning_rate": 0.00020213114754098356,
"loss": 0.2044,
"step": 702
},
{
"epoch": 6.33,
"learning_rate": 0.00020163934426229506,
"loss": 0.1789,
"step": 703
},
{
"epoch": 6.34,
"learning_rate": 0.00020114754098360653,
"loss": 0.2126,
"step": 704
},
{
"epoch": 6.35,
"learning_rate": 0.000200655737704918,
"loss": 0.1658,
"step": 705
},
{
"epoch": 6.36,
"learning_rate": 0.0002001639344262295,
"loss": 0.1732,
"step": 706
},
{
"epoch": 6.37,
"learning_rate": 0.00019967213114754098,
"loss": 0.1748,
"step": 707
},
{
"epoch": 6.38,
"learning_rate": 0.00019918032786885243,
"loss": 0.1638,
"step": 708
},
{
"epoch": 6.39,
"learning_rate": 0.0001986885245901639,
"loss": 0.157,
"step": 709
},
{
"epoch": 6.39,
"learning_rate": 0.0001981967213114754,
"loss": 0.1418,
"step": 710
},
{
"epoch": 6.4,
"learning_rate": 0.00019770491803278688,
"loss": 0.1552,
"step": 711
},
{
"epoch": 6.41,
"learning_rate": 0.00019721311475409835,
"loss": 0.1415,
"step": 712
},
{
"epoch": 6.42,
"learning_rate": 0.0001967213114754098,
"loss": 0.126,
"step": 713
},
{
"epoch": 6.43,
"learning_rate": 0.0001962295081967213,
"loss": 0.1129,
"step": 714
},
{
"epoch": 6.44,
"learning_rate": 0.00019573770491803277,
"loss": 0.1441,
"step": 715
},
{
"epoch": 6.45,
"learning_rate": 0.00019524590163934425,
"loss": 0.1373,
"step": 716
},
{
"epoch": 6.46,
"learning_rate": 0.00019475409836065572,
"loss": 0.5316,
"step": 717
},
{
"epoch": 6.47,
"learning_rate": 0.00019426229508196722,
"loss": 0.4373,
"step": 718
},
{
"epoch": 6.48,
"learning_rate": 0.00019377049180327867,
"loss": 0.3649,
"step": 719
},
{
"epoch": 6.48,
"learning_rate": 0.00019327868852459014,
"loss": 0.3233,
"step": 720
},
{
"epoch": 6.49,
"learning_rate": 0.00019278688524590161,
"loss": 0.2931,
"step": 721
},
{
"epoch": 6.5,
"learning_rate": 0.00019229508196721312,
"loss": 0.2771,
"step": 722
},
{
"epoch": 6.51,
"learning_rate": 0.0001918032786885246,
"loss": 0.2295,
"step": 723
},
{
"epoch": 6.52,
"learning_rate": 0.00019131147540983604,
"loss": 0.2316,
"step": 724
},
{
"epoch": 6.53,
"learning_rate": 0.0001908196721311475,
"loss": 0.2157,
"step": 725
},
{
"epoch": 6.54,
"learning_rate": 0.000190327868852459,
"loss": 0.2125,
"step": 726
},
{
"epoch": 6.55,
"learning_rate": 0.00018983606557377048,
"loss": 0.1578,
"step": 727
},
{
"epoch": 6.56,
"learning_rate": 0.00018934426229508196,
"loss": 0.1633,
"step": 728
},
{
"epoch": 6.57,
"learning_rate": 0.00018885245901639343,
"loss": 0.1553,
"step": 729
},
{
"epoch": 6.57,
"learning_rate": 0.00018836065573770488,
"loss": 0.1544,
"step": 730
},
{
"epoch": 6.58,
"learning_rate": 0.00018786885245901638,
"loss": 0.1958,
"step": 731
},
{
"epoch": 6.59,
"learning_rate": 0.00018737704918032785,
"loss": 0.1519,
"step": 732
},
{
"epoch": 6.6,
"learning_rate": 0.00018688524590163933,
"loss": 0.1557,
"step": 733
},
{
"epoch": 6.61,
"learning_rate": 0.00018639344262295083,
"loss": 0.1656,
"step": 734
},
{
"epoch": 6.62,
"learning_rate": 0.00018590163934426227,
"loss": 0.1322,
"step": 735
},
{
"epoch": 6.63,
"learning_rate": 0.00018540983606557375,
"loss": 0.1391,
"step": 736
},
{
"epoch": 6.64,
"learning_rate": 0.00018491803278688522,
"loss": 0.151,
"step": 737
},
{
"epoch": 6.65,
"learning_rate": 0.00018442622950819672,
"loss": 0.1497,
"step": 738
},
{
"epoch": 6.65,
"learning_rate": 0.0001839344262295082,
"loss": 0.1293,
"step": 739
},
{
"epoch": 6.66,
"learning_rate": 0.00018344262295081964,
"loss": 0.1088,
"step": 740
},
{
"epoch": 6.67,
"learning_rate": 0.00018295081967213112,
"loss": 0.1561,
"step": 741
},
{
"epoch": 6.68,
"learning_rate": 0.00018245901639344262,
"loss": 0.5004,
"step": 742
},
{
"epoch": 6.69,
"learning_rate": 0.0001819672131147541,
"loss": 0.4009,
"step": 743
},
{
"epoch": 6.7,
"learning_rate": 0.00018147540983606556,
"loss": 0.3291,
"step": 744
},
{
"epoch": 6.71,
"learning_rate": 0.00018098360655737704,
"loss": 0.2757,
"step": 745
},
{
"epoch": 6.72,
"learning_rate": 0.00018049180327868848,
"loss": 0.2992,
"step": 746
},
{
"epoch": 6.73,
"learning_rate": 0.00017999999999999998,
"loss": 0.2224,
"step": 747
},
{
"epoch": 6.74,
"learning_rate": 0.00017950819672131146,
"loss": 0.2268,
"step": 748
},
{
"epoch": 6.74,
"learning_rate": 0.00017901639344262293,
"loss": 0.2091,
"step": 749
},
{
"epoch": 6.75,
"learning_rate": 0.00017852459016393443,
"loss": 0.2108,
"step": 750
},
{
"epoch": 6.76,
"learning_rate": 0.00017803278688524588,
"loss": 0.1898,
"step": 751
},
{
"epoch": 6.77,
"learning_rate": 0.00017754098360655735,
"loss": 0.1764,
"step": 752
},
{
"epoch": 6.78,
"learning_rate": 0.00017704918032786883,
"loss": 0.1669,
"step": 753
},
{
"epoch": 6.79,
"learning_rate": 0.00017655737704918033,
"loss": 0.1502,
"step": 754
},
{
"epoch": 6.8,
"learning_rate": 0.0001760655737704918,
"loss": 0.1734,
"step": 755
},
{
"epoch": 6.81,
"learning_rate": 0.00017557377049180327,
"loss": 0.1519,
"step": 756
},
{
"epoch": 6.82,
"learning_rate": 0.00017508196721311472,
"loss": 0.1561,
"step": 757
},
{
"epoch": 6.83,
"learning_rate": 0.0001745901639344262,
"loss": 0.1471,
"step": 758
},
{
"epoch": 6.83,
"learning_rate": 0.0001740983606557377,
"loss": 0.1443,
"step": 759
},
{
"epoch": 6.84,
"learning_rate": 0.00017360655737704917,
"loss": 0.1161,
"step": 760
},
{
"epoch": 6.85,
"learning_rate": 0.00017311475409836064,
"loss": 0.1166,
"step": 761
},
{
"epoch": 6.86,
"learning_rate": 0.0001726229508196721,
"loss": 0.1304,
"step": 762
},
{
"epoch": 6.87,
"learning_rate": 0.0001721311475409836,
"loss": 0.12,
"step": 763
},
{
"epoch": 6.88,
"learning_rate": 0.00017163934426229506,
"loss": 0.1263,
"step": 764
},
{
"epoch": 6.89,
"learning_rate": 0.00017114754098360654,
"loss": 0.1376,
"step": 765
},
{
"epoch": 6.9,
"learning_rate": 0.00017065573770491804,
"loss": 0.1581,
"step": 766
},
{
"epoch": 6.91,
"learning_rate": 0.0001701639344262295,
"loss": 0.398,
"step": 767
},
{
"epoch": 6.91,
"learning_rate": 0.00016967213114754096,
"loss": 0.3025,
"step": 768
},
{
"epoch": 6.92,
"learning_rate": 0.00016918032786885243,
"loss": 0.2683,
"step": 769
},
{
"epoch": 6.93,
"learning_rate": 0.00016868852459016393,
"loss": 0.2023,
"step": 770
},
{
"epoch": 6.94,
"learning_rate": 0.0001681967213114754,
"loss": 0.184,
"step": 771
},
{
"epoch": 6.95,
"learning_rate": 0.00016770491803278688,
"loss": 0.1605,
"step": 772
},
{
"epoch": 6.96,
"learning_rate": 0.00016721311475409833,
"loss": 0.142,
"step": 773
},
{
"epoch": 6.97,
"learning_rate": 0.0001667213114754098,
"loss": 0.1362,
"step": 774
},
{
"epoch": 6.98,
"learning_rate": 0.0001662295081967213,
"loss": 0.1242,
"step": 775
},
{
"epoch": 6.99,
"learning_rate": 0.00016573770491803278,
"loss": 0.1229,
"step": 776
},
{
"epoch": 7.0,
"learning_rate": 0.00016524590163934425,
"loss": 0.1273,
"step": 777
},
{
"epoch": 7.01,
"learning_rate": 0.00016475409836065575,
"loss": 0.3292,
"step": 778
},
{
"epoch": 7.02,
"learning_rate": 0.0001642622950819672,
"loss": 0.1917,
"step": 779
},
{
"epoch": 7.03,
"learning_rate": 0.00016377049180327867,
"loss": 0.1808,
"step": 780
},
{
"epoch": 7.04,
"learning_rate": 0.00016327868852459014,
"loss": 0.1459,
"step": 781
},
{
"epoch": 7.04,
"learning_rate": 0.00016278688524590164,
"loss": 0.1363,
"step": 782
},
{
"epoch": 7.05,
"learning_rate": 0.00016229508196721312,
"loss": 0.1299,
"step": 783
},
{
"epoch": 7.06,
"learning_rate": 0.00016180327868852456,
"loss": 0.1337,
"step": 784
},
{
"epoch": 7.07,
"learning_rate": 0.00016131147540983604,
"loss": 0.1175,
"step": 785
},
{
"epoch": 7.08,
"learning_rate": 0.00016081967213114754,
"loss": 0.1139,
"step": 786
},
{
"epoch": 7.09,
"learning_rate": 0.000160327868852459,
"loss": 0.1132,
"step": 787
},
{
"epoch": 7.1,
"learning_rate": 0.00015983606557377049,
"loss": 0.0938,
"step": 788
},
{
"epoch": 7.11,
"learning_rate": 0.00015934426229508193,
"loss": 0.0853,
"step": 789
},
{
"epoch": 7.12,
"learning_rate": 0.0001588524590163934,
"loss": 0.0911,
"step": 790
},
{
"epoch": 7.13,
"learning_rate": 0.0001583606557377049,
"loss": 0.0876,
"step": 791
},
{
"epoch": 7.13,
"learning_rate": 0.00015786885245901638,
"loss": 0.0952,
"step": 792
},
{
"epoch": 7.14,
"learning_rate": 0.00015737704918032785,
"loss": 0.0965,
"step": 793
},
{
"epoch": 7.15,
"learning_rate": 0.00015688524590163936,
"loss": 0.0917,
"step": 794
},
{
"epoch": 7.16,
"learning_rate": 0.0001563934426229508,
"loss": 0.0931,
"step": 795
},
{
"epoch": 7.17,
"learning_rate": 0.00015590163934426228,
"loss": 0.0801,
"step": 796
},
{
"epoch": 7.18,
"learning_rate": 0.00015540983606557375,
"loss": 0.081,
"step": 797
},
{
"epoch": 7.19,
"learning_rate": 0.00015491803278688525,
"loss": 0.0888,
"step": 798
},
{
"epoch": 7.2,
"learning_rate": 0.00015442622950819672,
"loss": 0.0644,
"step": 799
},
{
"epoch": 7.21,
"learning_rate": 0.00015393442622950817,
"loss": 0.0697,
"step": 800
},
{
"epoch": 7.22,
"learning_rate": 0.00015344262295081964,
"loss": 0.0626,
"step": 801
},
{
"epoch": 7.22,
"learning_rate": 0.00015295081967213112,
"loss": 0.0777,
"step": 802
},
{
"epoch": 7.23,
"learning_rate": 0.00015245901639344262,
"loss": 0.2966,
"step": 803
},
{
"epoch": 7.24,
"learning_rate": 0.0001519672131147541,
"loss": 0.2267,
"step": 804
},
{
"epoch": 7.25,
"learning_rate": 0.00015147540983606557,
"loss": 0.1676,
"step": 805
},
{
"epoch": 7.26,
"learning_rate": 0.000150983606557377,
"loss": 0.18,
"step": 806
},
{
"epoch": 7.27,
"learning_rate": 0.0001504918032786885,
"loss": 0.1531,
"step": 807
},
{
"epoch": 7.28,
"learning_rate": 0.00015,
"loss": 0.1334,
"step": 808
},
{
"epoch": 7.29,
"learning_rate": 0.00014950819672131146,
"loss": 0.1211,
"step": 809
},
{
"epoch": 7.3,
"learning_rate": 0.00014901639344262293,
"loss": 0.1199,
"step": 810
},
{
"epoch": 7.3,
"learning_rate": 0.0001485245901639344,
"loss": 0.1123,
"step": 811
},
{
"epoch": 7.31,
"learning_rate": 0.0001480327868852459,
"loss": 0.1059,
"step": 812
},
{
"epoch": 7.32,
"learning_rate": 0.00014754098360655736,
"loss": 0.0931,
"step": 813
},
{
"epoch": 7.33,
"learning_rate": 0.00014704918032786886,
"loss": 0.0969,
"step": 814
},
{
"epoch": 7.34,
"learning_rate": 0.0001465573770491803,
"loss": 0.0967,
"step": 815
},
{
"epoch": 7.35,
"learning_rate": 0.00014606557377049178,
"loss": 0.0934,
"step": 816
},
{
"epoch": 7.36,
"learning_rate": 0.00014557377049180328,
"loss": 0.0883,
"step": 817
},
{
"epoch": 7.37,
"learning_rate": 0.00014508196721311472,
"loss": 0.0828,
"step": 818
},
{
"epoch": 7.38,
"learning_rate": 0.00014459016393442622,
"loss": 0.0905,
"step": 819
},
{
"epoch": 7.39,
"learning_rate": 0.0001440983606557377,
"loss": 0.0853,
"step": 820
},
{
"epoch": 7.39,
"learning_rate": 0.00014360655737704917,
"loss": 0.0755,
"step": 821
},
{
"epoch": 7.4,
"learning_rate": 0.00014311475409836065,
"loss": 0.0726,
"step": 822
},
{
"epoch": 7.41,
"learning_rate": 0.00014262295081967212,
"loss": 0.0775,
"step": 823
},
{
"epoch": 7.42,
"learning_rate": 0.0001421311475409836,
"loss": 0.0798,
"step": 824
},
{
"epoch": 7.43,
"learning_rate": 0.00014163934426229507,
"loss": 0.0591,
"step": 825
},
{
"epoch": 7.44,
"learning_rate": 0.00014114754098360654,
"loss": 0.0644,
"step": 826
},
{
"epoch": 7.45,
"learning_rate": 0.00014065573770491801,
"loss": 0.0976,
"step": 827
},
{
"epoch": 7.46,
"learning_rate": 0.00014016393442622951,
"loss": 0.2755,
"step": 828
},
{
"epoch": 7.47,
"learning_rate": 0.00013967213114754096,
"loss": 0.2098,
"step": 829
},
{
"epoch": 7.48,
"learning_rate": 0.00013918032786885243,
"loss": 0.1766,
"step": 830
},
{
"epoch": 7.48,
"learning_rate": 0.00013868852459016394,
"loss": 0.1588,
"step": 831
},
{
"epoch": 7.49,
"learning_rate": 0.00013819672131147538,
"loss": 0.143,
"step": 832
},
{
"epoch": 7.5,
"learning_rate": 0.00013770491803278688,
"loss": 0.1298,
"step": 833
},
{
"epoch": 7.51,
"learning_rate": 0.00013721311475409833,
"loss": 0.1163,
"step": 834
},
{
"epoch": 7.52,
"learning_rate": 0.00013672131147540983,
"loss": 0.1181,
"step": 835
},
{
"epoch": 7.53,
"learning_rate": 0.0001362295081967213,
"loss": 0.116,
"step": 836
},
{
"epoch": 7.54,
"learning_rate": 0.00013573770491803278,
"loss": 0.0969,
"step": 837
},
{
"epoch": 7.55,
"learning_rate": 0.00013524590163934425,
"loss": 0.0956,
"step": 838
},
{
"epoch": 7.56,
"learning_rate": 0.00013475409836065573,
"loss": 0.0921,
"step": 839
},
{
"epoch": 7.57,
"learning_rate": 0.0001342622950819672,
"loss": 0.1068,
"step": 840
},
{
"epoch": 7.57,
"learning_rate": 0.00013377049180327867,
"loss": 0.0846,
"step": 841
},
{
"epoch": 7.58,
"learning_rate": 0.00013327868852459017,
"loss": 0.0797,
"step": 842
},
{
"epoch": 7.59,
"learning_rate": 0.00013278688524590162,
"loss": 0.0789,
"step": 843
},
{
"epoch": 7.6,
"learning_rate": 0.0001322950819672131,
"loss": 0.0802,
"step": 844
},
{
"epoch": 7.61,
"learning_rate": 0.00013180327868852457,
"loss": 0.0798,
"step": 845
},
{
"epoch": 7.62,
"learning_rate": 0.00013131147540983604,
"loss": 0.0625,
"step": 846
},
{
"epoch": 7.63,
"learning_rate": 0.00013081967213114754,
"loss": 0.0729,
"step": 847
},
{
"epoch": 7.64,
"learning_rate": 0.000130327868852459,
"loss": 0.0702,
"step": 848
},
{
"epoch": 7.65,
"learning_rate": 0.0001298360655737705,
"loss": 0.0749,
"step": 849
},
{
"epoch": 7.65,
"learning_rate": 0.00012934426229508196,
"loss": 0.1538,
"step": 850
},
{
"epoch": 7.66,
"learning_rate": 0.00012885245901639344,
"loss": 0.0793,
"step": 851
},
{
"epoch": 7.67,
"learning_rate": 0.0001283606557377049,
"loss": 0.1118,
"step": 852
},
{
"epoch": 7.68,
"learning_rate": 0.00012786885245901638,
"loss": 0.2584,
"step": 853
},
{
"epoch": 7.69,
"learning_rate": 0.00012737704918032786,
"loss": 0.2042,
"step": 854
},
{
"epoch": 7.7,
"learning_rate": 0.00012688524590163933,
"loss": 0.1538,
"step": 855
},
{
"epoch": 7.71,
"learning_rate": 0.0001263934426229508,
"loss": 0.1337,
"step": 856
},
{
"epoch": 7.72,
"learning_rate": 0.00012590163934426228,
"loss": 0.1333,
"step": 857
},
{
"epoch": 7.73,
"learning_rate": 0.00012540983606557378,
"loss": 0.1308,
"step": 858
},
{
"epoch": 7.74,
"learning_rate": 0.00012491803278688523,
"loss": 0.1062,
"step": 859
},
{
"epoch": 7.74,
"learning_rate": 0.0001244262295081967,
"loss": 0.1091,
"step": 860
},
{
"epoch": 7.75,
"learning_rate": 0.0001239344262295082,
"loss": 0.1118,
"step": 861
},
{
"epoch": 7.76,
"learning_rate": 0.00012344262295081965,
"loss": 0.1769,
"step": 862
},
{
"epoch": 7.77,
"learning_rate": 0.00012295081967213115,
"loss": 0.0905,
"step": 863
},
{
"epoch": 7.78,
"learning_rate": 0.0001224590163934426,
"loss": 0.1006,
"step": 864
},
{
"epoch": 7.79,
"learning_rate": 0.00012196721311475408,
"loss": 0.0995,
"step": 865
},
{
"epoch": 7.8,
"learning_rate": 0.00012147540983606557,
"loss": 0.0921,
"step": 866
},
{
"epoch": 7.81,
"learning_rate": 0.00012098360655737703,
"loss": 0.0971,
"step": 867
},
{
"epoch": 7.82,
"learning_rate": 0.00012049180327868852,
"loss": 0.0774,
"step": 868
},
{
"epoch": 7.83,
"learning_rate": 0.00011999999999999999,
"loss": 0.0866,
"step": 869
},
{
"epoch": 7.83,
"learning_rate": 0.00011950819672131146,
"loss": 0.0981,
"step": 870
},
{
"epoch": 7.84,
"learning_rate": 0.00011901639344262294,
"loss": 0.072,
"step": 871
},
{
"epoch": 7.85,
"learning_rate": 0.00011852459016393441,
"loss": 0.0674,
"step": 872
},
{
"epoch": 7.86,
"learning_rate": 0.00011803278688524588,
"loss": 0.0639,
"step": 873
},
{
"epoch": 7.87,
"learning_rate": 0.00011754098360655737,
"loss": 0.0839,
"step": 874
},
{
"epoch": 7.88,
"learning_rate": 0.00011704918032786883,
"loss": 0.066,
"step": 875
},
{
"epoch": 7.89,
"learning_rate": 0.00011655737704918032,
"loss": 0.0597,
"step": 876
},
{
"epoch": 7.9,
"learning_rate": 0.00011606557377049179,
"loss": 0.0819,
"step": 877
},
{
"epoch": 7.91,
"learning_rate": 0.00011557377049180327,
"loss": 0.1785,
"step": 878
},
{
"epoch": 7.91,
"learning_rate": 0.00011508196721311474,
"loss": 0.1619,
"step": 879
},
{
"epoch": 7.92,
"learning_rate": 0.00011459016393442623,
"loss": 0.1235,
"step": 880
},
{
"epoch": 7.93,
"learning_rate": 0.00011409836065573769,
"loss": 0.0996,
"step": 881
},
{
"epoch": 7.94,
"learning_rate": 0.00011360655737704917,
"loss": 0.0896,
"step": 882
},
{
"epoch": 7.95,
"learning_rate": 0.00011311475409836063,
"loss": 0.0785,
"step": 883
},
{
"epoch": 7.96,
"learning_rate": 0.00011262295081967212,
"loss": 0.0756,
"step": 884
},
{
"epoch": 7.97,
"learning_rate": 0.0001121311475409836,
"loss": 0.094,
"step": 885
},
{
"epoch": 7.98,
"learning_rate": 0.00011163934426229507,
"loss": 0.0629,
"step": 886
},
{
"epoch": 7.99,
"learning_rate": 0.00011114754098360654,
"loss": 0.0694,
"step": 887
},
{
"epoch": 8.0,
"learning_rate": 0.00011065573770491803,
"loss": 0.0818,
"step": 888
},
{
"epoch": 8.01,
"learning_rate": 0.00011016393442622949,
"loss": 0.1714,
"step": 889
},
{
"epoch": 8.02,
"learning_rate": 0.00010967213114754098,
"loss": 0.1262,
"step": 890
},
{
"epoch": 8.03,
"learning_rate": 0.00010918032786885245,
"loss": 0.089,
"step": 891
},
{
"epoch": 8.04,
"learning_rate": 0.00010868852459016392,
"loss": 0.1003,
"step": 892
},
{
"epoch": 8.04,
"learning_rate": 0.0001081967213114754,
"loss": 0.0913,
"step": 893
},
{
"epoch": 8.05,
"learning_rate": 0.00010770491803278687,
"loss": 0.0799,
"step": 894
},
{
"epoch": 8.06,
"learning_rate": 0.00010721311475409835,
"loss": 0.0765,
"step": 895
},
{
"epoch": 8.07,
"learning_rate": 0.00010672131147540983,
"loss": 0.0802,
"step": 896
},
{
"epoch": 8.08,
"learning_rate": 0.00010622950819672129,
"loss": 0.0641,
"step": 897
},
{
"epoch": 8.09,
"learning_rate": 0.00010573770491803278,
"loss": 0.0614,
"step": 898
},
{
"epoch": 8.1,
"learning_rate": 0.00010524590163934425,
"loss": 0.064,
"step": 899
},
{
"epoch": 8.11,
"learning_rate": 0.00010475409836065573,
"loss": 0.0568,
"step": 900
},
{
"epoch": 8.12,
"learning_rate": 0.0001042622950819672,
"loss": 0.0609,
"step": 901
},
{
"epoch": 8.13,
"learning_rate": 0.00010377049180327867,
"loss": 0.0569,
"step": 902
},
{
"epoch": 8.13,
"learning_rate": 0.00010327868852459015,
"loss": 0.0584,
"step": 903
},
{
"epoch": 8.14,
"learning_rate": 0.00010278688524590164,
"loss": 0.0536,
"step": 904
},
{
"epoch": 8.15,
"learning_rate": 0.0001022950819672131,
"loss": 0.0542,
"step": 905
},
{
"epoch": 8.16,
"learning_rate": 0.00010180327868852458,
"loss": 0.0597,
"step": 906
},
{
"epoch": 8.17,
"learning_rate": 0.00010131147540983606,
"loss": 0.0608,
"step": 907
},
{
"epoch": 8.18,
"learning_rate": 0.00010081967213114753,
"loss": 0.0479,
"step": 908
},
{
"epoch": 8.19,
"learning_rate": 0.000100327868852459,
"loss": 0.0487,
"step": 909
},
{
"epoch": 8.2,
"learning_rate": 9.983606557377049e-05,
"loss": 0.0546,
"step": 910
},
{
"epoch": 8.21,
"learning_rate": 9.934426229508195e-05,
"loss": 0.0393,
"step": 911
},
{
"epoch": 8.22,
"learning_rate": 9.885245901639344e-05,
"loss": 0.0577,
"step": 912
},
{
"epoch": 8.22,
"learning_rate": 9.83606557377049e-05,
"loss": 0.0428,
"step": 913
},
{
"epoch": 8.23,
"learning_rate": 9.786885245901639e-05,
"loss": 0.1259,
"step": 914
},
{
"epoch": 8.24,
"learning_rate": 9.737704918032786e-05,
"loss": 0.1007,
"step": 915
},
{
"epoch": 8.25,
"learning_rate": 9.688524590163933e-05,
"loss": 0.0901,
"step": 916
},
{
"epoch": 8.26,
"learning_rate": 9.639344262295081e-05,
"loss": 0.0894,
"step": 917
},
{
"epoch": 8.27,
"learning_rate": 9.59016393442623e-05,
"loss": 0.0852,
"step": 918
},
{
"epoch": 8.28,
"learning_rate": 9.540983606557375e-05,
"loss": 0.0744,
"step": 919
},
{
"epoch": 8.29,
"learning_rate": 9.491803278688524e-05,
"loss": 0.067,
"step": 920
},
{
"epoch": 8.3,
"learning_rate": 9.442622950819672e-05,
"loss": 0.0717,
"step": 921
},
{
"epoch": 8.3,
"learning_rate": 9.393442622950819e-05,
"loss": 0.0604,
"step": 922
},
{
"epoch": 8.31,
"learning_rate": 9.344262295081966e-05,
"loss": 0.0617,
"step": 923
},
{
"epoch": 8.32,
"learning_rate": 9.295081967213114e-05,
"loss": 0.0527,
"step": 924
},
{
"epoch": 8.33,
"learning_rate": 9.245901639344261e-05,
"loss": 0.057,
"step": 925
},
{
"epoch": 8.34,
"learning_rate": 9.19672131147541e-05,
"loss": 0.0499,
"step": 926
},
{
"epoch": 8.35,
"learning_rate": 9.147540983606556e-05,
"loss": 0.0535,
"step": 927
},
{
"epoch": 8.36,
"learning_rate": 9.098360655737704e-05,
"loss": 0.0546,
"step": 928
},
{
"epoch": 8.37,
"learning_rate": 9.049180327868852e-05,
"loss": 0.0565,
"step": 929
},
{
"epoch": 8.38,
"learning_rate": 8.999999999999999e-05,
"loss": 0.0507,
"step": 930
},
{
"epoch": 8.39,
"learning_rate": 8.950819672131147e-05,
"loss": 0.0496,
"step": 931
},
{
"epoch": 8.39,
"learning_rate": 8.901639344262294e-05,
"loss": 0.0445,
"step": 932
},
{
"epoch": 8.4,
"learning_rate": 8.852459016393441e-05,
"loss": 0.0436,
"step": 933
},
{
"epoch": 8.41,
"learning_rate": 8.80327868852459e-05,
"loss": 0.0449,
"step": 934
},
{
"epoch": 8.42,
"learning_rate": 8.754098360655736e-05,
"loss": 0.0465,
"step": 935
},
{
"epoch": 8.43,
"learning_rate": 8.704918032786885e-05,
"loss": 0.0365,
"step": 936
},
{
"epoch": 8.44,
"learning_rate": 8.655737704918032e-05,
"loss": 0.0361,
"step": 937
},
{
"epoch": 8.45,
"learning_rate": 8.60655737704918e-05,
"loss": 0.0566,
"step": 938
},
{
"epoch": 8.46,
"learning_rate": 8.557377049180327e-05,
"loss": 0.1376,
"step": 939
},
{
"epoch": 8.47,
"learning_rate": 8.508196721311476e-05,
"loss": 0.1047,
"step": 940
},
{
"epoch": 8.48,
"learning_rate": 8.459016393442622e-05,
"loss": 0.0878,
"step": 941
},
{
"epoch": 8.48,
"learning_rate": 8.40983606557377e-05,
"loss": 0.0905,
"step": 942
},
{
"epoch": 8.49,
"learning_rate": 8.360655737704916e-05,
"loss": 0.0747,
"step": 943
},
{
"epoch": 8.5,
"learning_rate": 8.311475409836065e-05,
"loss": 0.0621,
"step": 944
},
{
"epoch": 8.51,
"learning_rate": 8.262295081967212e-05,
"loss": 0.075,
"step": 945
},
{
"epoch": 8.52,
"learning_rate": 8.21311475409836e-05,
"loss": 0.0683,
"step": 946
},
{
"epoch": 8.53,
"learning_rate": 8.163934426229507e-05,
"loss": 0.0557,
"step": 947
},
{
"epoch": 8.54,
"learning_rate": 8.114754098360656e-05,
"loss": 0.0588,
"step": 948
},
{
"epoch": 8.55,
"learning_rate": 8.065573770491802e-05,
"loss": 0.0597,
"step": 949
},
{
"epoch": 8.56,
"learning_rate": 8.01639344262295e-05,
"loss": 0.0598,
"step": 950
},
{
"epoch": 8.57,
"learning_rate": 7.967213114754097e-05,
"loss": 0.0542,
"step": 951
},
{
"epoch": 8.57,
"learning_rate": 7.918032786885245e-05,
"loss": 0.051,
"step": 952
},
{
"epoch": 8.58,
"learning_rate": 7.868852459016393e-05,
"loss": 0.0587,
"step": 953
},
{
"epoch": 8.59,
"learning_rate": 7.81967213114754e-05,
"loss": 0.0526,
"step": 954
},
{
"epoch": 8.6,
"learning_rate": 7.770491803278687e-05,
"loss": 0.0481,
"step": 955
},
{
"epoch": 8.61,
"learning_rate": 7.721311475409836e-05,
"loss": 0.0511,
"step": 956
},
{
"epoch": 8.62,
"learning_rate": 7.672131147540982e-05,
"loss": 0.038,
"step": 957
},
{
"epoch": 8.63,
"learning_rate": 7.622950819672131e-05,
"loss": 0.0412,
"step": 958
},
{
"epoch": 8.64,
"learning_rate": 7.573770491803278e-05,
"loss": 0.052,
"step": 959
},
{
"epoch": 8.65,
"learning_rate": 7.524590163934426e-05,
"loss": 0.0426,
"step": 960
},
{
"epoch": 8.65,
"learning_rate": 7.475409836065573e-05,
"loss": 0.0514,
"step": 961
},
{
"epoch": 8.66,
"learning_rate": 7.42622950819672e-05,
"loss": 0.0348,
"step": 962
},
{
"epoch": 8.67,
"learning_rate": 7.377049180327868e-05,
"loss": 0.0697,
"step": 963
},
{
"epoch": 8.68,
"learning_rate": 7.327868852459015e-05,
"loss": 0.1125,
"step": 964
},
{
"epoch": 8.69,
"learning_rate": 7.278688524590164e-05,
"loss": 0.0963,
"step": 965
},
{
"epoch": 8.7,
"learning_rate": 7.229508196721311e-05,
"loss": 0.0785,
"step": 966
},
{
"epoch": 8.71,
"learning_rate": 7.180327868852459e-05,
"loss": 0.0818,
"step": 967
},
{
"epoch": 8.72,
"learning_rate": 7.131147540983606e-05,
"loss": 0.0798,
"step": 968
},
{
"epoch": 8.73,
"learning_rate": 7.081967213114753e-05,
"loss": 0.064,
"step": 969
},
{
"epoch": 8.74,
"learning_rate": 7.032786885245901e-05,
"loss": 0.0586,
"step": 970
},
{
"epoch": 8.74,
"learning_rate": 6.983606557377048e-05,
"loss": 0.0594,
"step": 971
},
{
"epoch": 8.75,
"learning_rate": 6.934426229508197e-05,
"loss": 0.0661,
"step": 972
},
{
"epoch": 8.76,
"learning_rate": 6.885245901639344e-05,
"loss": 0.0698,
"step": 973
},
{
"epoch": 8.77,
"learning_rate": 6.836065573770492e-05,
"loss": 0.0558,
"step": 974
},
{
"epoch": 8.78,
"learning_rate": 6.786885245901639e-05,
"loss": 0.0524,
"step": 975
},
{
"epoch": 8.79,
"learning_rate": 6.737704918032786e-05,
"loss": 0.0562,
"step": 976
},
{
"epoch": 8.8,
"learning_rate": 6.688524590163934e-05,
"loss": 0.0507,
"step": 977
},
{
"epoch": 8.81,
"learning_rate": 6.639344262295081e-05,
"loss": 0.0477,
"step": 978
},
{
"epoch": 8.82,
"learning_rate": 6.590163934426228e-05,
"loss": 0.0525,
"step": 979
},
{
"epoch": 8.83,
"learning_rate": 6.540983606557377e-05,
"loss": 0.0456,
"step": 980
},
{
"epoch": 8.83,
"learning_rate": 6.491803278688524e-05,
"loss": 0.0446,
"step": 981
},
{
"epoch": 8.84,
"learning_rate": 6.442622950819672e-05,
"loss": 0.0443,
"step": 982
},
{
"epoch": 8.85,
"learning_rate": 6.393442622950819e-05,
"loss": 0.0344,
"step": 983
},
{
"epoch": 8.86,
"learning_rate": 6.344262295081967e-05,
"loss": 0.0557,
"step": 984
},
{
"epoch": 8.87,
"learning_rate": 6.295081967213114e-05,
"loss": 0.0299,
"step": 985
},
{
"epoch": 8.88,
"learning_rate": 6.245901639344261e-05,
"loss": 0.0364,
"step": 986
},
{
"epoch": 8.89,
"learning_rate": 6.19672131147541e-05,
"loss": 0.0459,
"step": 987
},
{
"epoch": 8.9,
"learning_rate": 6.147540983606557e-05,
"loss": 0.0529,
"step": 988
},
{
"epoch": 8.91,
"learning_rate": 6.098360655737704e-05,
"loss": 0.1122,
"step": 989
},
{
"epoch": 8.91,
"learning_rate": 6.0491803278688514e-05,
"loss": 0.0814,
"step": 990
},
{
"epoch": 8.92,
"learning_rate": 5.9999999999999995e-05,
"loss": 0.0625,
"step": 991
},
{
"epoch": 8.93,
"learning_rate": 5.950819672131147e-05,
"loss": 0.0625,
"step": 992
},
{
"epoch": 8.94,
"learning_rate": 5.901639344262294e-05,
"loss": 0.0568,
"step": 993
},
{
"epoch": 8.95,
"learning_rate": 5.8524590163934416e-05,
"loss": 0.0485,
"step": 994
},
{
"epoch": 8.96,
"learning_rate": 5.8032786885245896e-05,
"loss": 0.0434,
"step": 995
},
{
"epoch": 8.97,
"learning_rate": 5.754098360655737e-05,
"loss": 0.0434,
"step": 996
},
{
"epoch": 8.98,
"learning_rate": 5.7049180327868844e-05,
"loss": 0.0416,
"step": 997
},
{
"epoch": 8.99,
"learning_rate": 5.655737704918032e-05,
"loss": 0.0464,
"step": 998
},
{
"epoch": 9.0,
"learning_rate": 5.60655737704918e-05,
"loss": 0.0321,
"step": 999
},
{
"epoch": 9.01,
"learning_rate": 5.557377049180327e-05,
"loss": 0.1177,
"step": 1000
},
{
"epoch": 9.01,
"eval_loss": 0.35239124298095703,
"eval_runtime": 326.5742,
"eval_samples_per_second": 8.09,
"eval_steps_per_second": 0.508,
"eval_wer": 0.10420468068226894,
"step": 1000
},
{
"epoch": 9.02,
"learning_rate": 5.5081967213114745e-05,
"loss": 0.0658,
"step": 1001
},
{
"epoch": 9.03,
"learning_rate": 5.4590163934426226e-05,
"loss": 0.0527,
"step": 1002
},
{
"epoch": 9.04,
"learning_rate": 5.40983606557377e-05,
"loss": 0.0639,
"step": 1003
},
{
"epoch": 9.04,
"learning_rate": 5.360655737704917e-05,
"loss": 0.0622,
"step": 1004
},
{
"epoch": 9.05,
"learning_rate": 5.3114754098360647e-05,
"loss": 0.0566,
"step": 1005
},
{
"epoch": 9.06,
"learning_rate": 5.262295081967213e-05,
"loss": 0.0423,
"step": 1006
},
{
"epoch": 9.07,
"learning_rate": 5.21311475409836e-05,
"loss": 0.0496,
"step": 1007
},
{
"epoch": 9.08,
"learning_rate": 5.1639344262295074e-05,
"loss": 0.0438,
"step": 1008
},
{
"epoch": 9.09,
"learning_rate": 5.114754098360655e-05,
"loss": 0.04,
"step": 1009
},
{
"epoch": 9.1,
"learning_rate": 5.065573770491803e-05,
"loss": 0.0399,
"step": 1010
},
{
"epoch": 9.11,
"learning_rate": 5.01639344262295e-05,
"loss": 0.0494,
"step": 1011
},
{
"epoch": 9.12,
"learning_rate": 4.9672131147540976e-05,
"loss": 0.0367,
"step": 1012
},
{
"epoch": 9.13,
"learning_rate": 4.918032786885245e-05,
"loss": 0.0387,
"step": 1013
},
{
"epoch": 9.13,
"learning_rate": 4.868852459016393e-05,
"loss": 0.0372,
"step": 1014
},
{
"epoch": 9.14,
"learning_rate": 4.8196721311475404e-05,
"loss": 0.0334,
"step": 1015
},
{
"epoch": 9.15,
"learning_rate": 4.770491803278688e-05,
"loss": 0.0286,
"step": 1016
},
{
"epoch": 9.16,
"learning_rate": 4.721311475409836e-05,
"loss": 0.0352,
"step": 1017
},
{
"epoch": 9.17,
"learning_rate": 4.672131147540983e-05,
"loss": 0.0299,
"step": 1018
},
{
"epoch": 9.18,
"learning_rate": 4.6229508196721305e-05,
"loss": 0.0288,
"step": 1019
},
{
"epoch": 9.19,
"learning_rate": 4.573770491803278e-05,
"loss": 0.0322,
"step": 1020
},
{
"epoch": 9.2,
"learning_rate": 4.524590163934426e-05,
"loss": 0.0304,
"step": 1021
},
{
"epoch": 9.21,
"learning_rate": 4.475409836065573e-05,
"loss": 0.0386,
"step": 1022
},
{
"epoch": 9.22,
"learning_rate": 4.4262295081967207e-05,
"loss": 0.0332,
"step": 1023
},
{
"epoch": 9.22,
"learning_rate": 4.377049180327868e-05,
"loss": 0.0501,
"step": 1024
},
{
"epoch": 9.23,
"learning_rate": 4.327868852459016e-05,
"loss": 0.0687,
"step": 1025
},
{
"epoch": 9.24,
"learning_rate": 4.2786885245901634e-05,
"loss": 0.071,
"step": 1026
},
{
"epoch": 9.25,
"learning_rate": 4.229508196721311e-05,
"loss": 0.0587,
"step": 1027
},
{
"epoch": 9.26,
"learning_rate": 4.180327868852458e-05,
"loss": 0.0558,
"step": 1028
},
{
"epoch": 9.27,
"learning_rate": 4.131147540983606e-05,
"loss": 0.0559,
"step": 1029
},
{
"epoch": 9.28,
"learning_rate": 4.0819672131147536e-05,
"loss": 0.0525,
"step": 1030
},
{
"epoch": 9.29,
"learning_rate": 4.032786885245901e-05,
"loss": 0.0428,
"step": 1031
},
{
"epoch": 9.3,
"learning_rate": 3.983606557377048e-05,
"loss": 0.05,
"step": 1032
},
{
"epoch": 9.3,
"learning_rate": 3.9344262295081964e-05,
"loss": 0.043,
"step": 1033
},
{
"epoch": 9.31,
"learning_rate": 3.885245901639344e-05,
"loss": 0.0455,
"step": 1034
},
{
"epoch": 9.32,
"learning_rate": 3.836065573770491e-05,
"loss": 0.0381,
"step": 1035
},
{
"epoch": 9.33,
"learning_rate": 3.786885245901639e-05,
"loss": 0.0315,
"step": 1036
},
{
"epoch": 9.34,
"learning_rate": 3.7377049180327865e-05,
"loss": 0.0366,
"step": 1037
},
{
"epoch": 9.35,
"learning_rate": 3.688524590163934e-05,
"loss": 0.0286,
"step": 1038
},
{
"epoch": 9.36,
"learning_rate": 3.639344262295082e-05,
"loss": 0.0401,
"step": 1039
},
{
"epoch": 9.37,
"learning_rate": 3.590163934426229e-05,
"loss": 0.0402,
"step": 1040
},
{
"epoch": 9.38,
"learning_rate": 3.540983606557377e-05,
"loss": 0.0349,
"step": 1041
},
{
"epoch": 9.39,
"learning_rate": 3.491803278688524e-05,
"loss": 0.035,
"step": 1042
},
{
"epoch": 9.39,
"learning_rate": 3.442622950819672e-05,
"loss": 0.0276,
"step": 1043
},
{
"epoch": 9.4,
"learning_rate": 3.3934426229508194e-05,
"loss": 0.0299,
"step": 1044
},
{
"epoch": 9.41,
"learning_rate": 3.344262295081967e-05,
"loss": 0.0323,
"step": 1045
},
{
"epoch": 9.42,
"learning_rate": 3.295081967213114e-05,
"loss": 0.027,
"step": 1046
},
{
"epoch": 9.43,
"learning_rate": 3.245901639344262e-05,
"loss": 0.0245,
"step": 1047
},
{
"epoch": 9.44,
"learning_rate": 3.1967213114754096e-05,
"loss": 0.0424,
"step": 1048
},
{
"epoch": 9.45,
"learning_rate": 3.147540983606557e-05,
"loss": 0.0517,
"step": 1049
},
{
"epoch": 9.46,
"learning_rate": 3.098360655737705e-05,
"loss": 0.081,
"step": 1050
},
{
"epoch": 9.47,
"learning_rate": 3.049180327868852e-05,
"loss": 0.0621,
"step": 1051
},
{
"epoch": 9.48,
"learning_rate": 2.9999999999999997e-05,
"loss": 0.054,
"step": 1052
},
{
"epoch": 9.48,
"learning_rate": 2.950819672131147e-05,
"loss": 0.0524,
"step": 1053
},
{
"epoch": 9.49,
"learning_rate": 2.9016393442622948e-05,
"loss": 0.0471,
"step": 1054
},
{
"epoch": 9.5,
"learning_rate": 2.8524590163934422e-05,
"loss": 0.048,
"step": 1055
},
{
"epoch": 9.51,
"learning_rate": 2.80327868852459e-05,
"loss": 0.0498,
"step": 1056
},
{
"epoch": 9.52,
"learning_rate": 2.7540983606557373e-05,
"loss": 0.0381,
"step": 1057
},
{
"epoch": 9.53,
"learning_rate": 2.704918032786885e-05,
"loss": 0.0503,
"step": 1058
},
{
"epoch": 9.54,
"learning_rate": 2.6557377049180323e-05,
"loss": 0.0317,
"step": 1059
},
{
"epoch": 9.55,
"learning_rate": 2.60655737704918e-05,
"loss": 0.0365,
"step": 1060
},
{
"epoch": 9.56,
"learning_rate": 2.5573770491803274e-05,
"loss": 0.0385,
"step": 1061
},
{
"epoch": 9.57,
"learning_rate": 2.508196721311475e-05,
"loss": 0.0298,
"step": 1062
},
{
"epoch": 9.57,
"learning_rate": 2.4590163934426225e-05,
"loss": 0.0325,
"step": 1063
},
{
"epoch": 9.58,
"learning_rate": 2.4098360655737702e-05,
"loss": 0.0314,
"step": 1064
},
{
"epoch": 9.59,
"learning_rate": 2.360655737704918e-05,
"loss": 0.0316,
"step": 1065
},
{
"epoch": 9.6,
"learning_rate": 2.3114754098360653e-05,
"loss": 0.0467,
"step": 1066
},
{
"epoch": 9.61,
"learning_rate": 2.262295081967213e-05,
"loss": 0.0386,
"step": 1067
},
{
"epoch": 9.62,
"learning_rate": 2.2131147540983603e-05,
"loss": 0.0289,
"step": 1068
},
{
"epoch": 9.63,
"learning_rate": 2.163934426229508e-05,
"loss": 0.0298,
"step": 1069
},
{
"epoch": 9.64,
"learning_rate": 2.1147540983606554e-05,
"loss": 0.0383,
"step": 1070
},
{
"epoch": 9.65,
"learning_rate": 2.065573770491803e-05,
"loss": 0.0362,
"step": 1071
},
{
"epoch": 9.65,
"learning_rate": 2.0163934426229505e-05,
"loss": 0.0308,
"step": 1072
},
{
"epoch": 9.66,
"learning_rate": 1.9672131147540982e-05,
"loss": 0.0252,
"step": 1073
},
{
"epoch": 9.67,
"learning_rate": 1.9180327868852456e-05,
"loss": 0.0467,
"step": 1074
},
{
"epoch": 9.68,
"learning_rate": 1.8688524590163933e-05,
"loss": 0.07,
"step": 1075
},
{
"epoch": 9.69,
"learning_rate": 1.819672131147541e-05,
"loss": 0.0574,
"step": 1076
},
{
"epoch": 9.7,
"learning_rate": 1.7704918032786883e-05,
"loss": 0.0483,
"step": 1077
},
{
"epoch": 9.71,
"learning_rate": 1.721311475409836e-05,
"loss": 0.0526,
"step": 1078
},
{
"epoch": 9.72,
"learning_rate": 1.6721311475409834e-05,
"loss": 0.0521,
"step": 1079
},
{
"epoch": 9.73,
"learning_rate": 1.622950819672131e-05,
"loss": 0.0498,
"step": 1080
},
{
"epoch": 9.74,
"learning_rate": 1.5737704918032785e-05,
"loss": 0.0438,
"step": 1081
},
{
"epoch": 9.74,
"learning_rate": 1.524590163934426e-05,
"loss": 0.0459,
"step": 1082
},
{
"epoch": 9.75,
"learning_rate": 1.4754098360655736e-05,
"loss": 0.0403,
"step": 1083
},
{
"epoch": 9.76,
"learning_rate": 1.4262295081967211e-05,
"loss": 0.0334,
"step": 1084
},
{
"epoch": 9.77,
"learning_rate": 1.3770491803278686e-05,
"loss": 0.0457,
"step": 1085
},
{
"epoch": 9.78,
"learning_rate": 1.3278688524590162e-05,
"loss": 0.0393,
"step": 1086
},
{
"epoch": 9.79,
"learning_rate": 1.2786885245901637e-05,
"loss": 0.0364,
"step": 1087
},
{
"epoch": 9.8,
"learning_rate": 1.2295081967213112e-05,
"loss": 0.0329,
"step": 1088
},
{
"epoch": 9.81,
"learning_rate": 1.180327868852459e-05,
"loss": 0.042,
"step": 1089
},
{
"epoch": 9.82,
"learning_rate": 1.1311475409836065e-05,
"loss": 0.0375,
"step": 1090
},
{
"epoch": 9.83,
"learning_rate": 1.081967213114754e-05,
"loss": 0.0371,
"step": 1091
},
{
"epoch": 9.83,
"learning_rate": 1.0327868852459016e-05,
"loss": 0.0285,
"step": 1092
},
{
"epoch": 9.84,
"learning_rate": 9.836065573770491e-06,
"loss": 0.0278,
"step": 1093
},
{
"epoch": 9.85,
"learning_rate": 9.344262295081966e-06,
"loss": 0.0275,
"step": 1094
},
{
"epoch": 9.86,
"learning_rate": 8.852459016393442e-06,
"loss": 0.0324,
"step": 1095
},
{
"epoch": 9.87,
"learning_rate": 8.360655737704917e-06,
"loss": 0.0287,
"step": 1096
},
{
"epoch": 9.88,
"learning_rate": 7.868852459016392e-06,
"loss": 0.0307,
"step": 1097
},
{
"epoch": 9.89,
"learning_rate": 7.377049180327868e-06,
"loss": 0.0327,
"step": 1098
},
{
"epoch": 9.9,
"learning_rate": 6.885245901639343e-06,
"loss": 0.0448,
"step": 1099
},
{
"epoch": 9.91,
"learning_rate": 6.3934426229508185e-06,
"loss": 0.0575,
"step": 1100
},
{
"epoch": 9.91,
"learning_rate": 5.901639344262295e-06,
"loss": 0.0564,
"step": 1101
},
{
"epoch": 9.92,
"learning_rate": 5.40983606557377e-06,
"loss": 0.0421,
"step": 1102
},
{
"epoch": 9.93,
"learning_rate": 4.9180327868852455e-06,
"loss": 0.0421,
"step": 1103
},
{
"epoch": 9.94,
"learning_rate": 4.426229508196721e-06,
"loss": 0.0357,
"step": 1104
},
{
"epoch": 9.95,
"learning_rate": 3.934426229508196e-06,
"loss": 0.0404,
"step": 1105
},
{
"epoch": 9.96,
"learning_rate": 3.4426229508196716e-06,
"loss": 0.031,
"step": 1106
},
{
"epoch": 9.97,
"learning_rate": 2.9508196721311474e-06,
"loss": 0.0362,
"step": 1107
},
{
"epoch": 9.98,
"learning_rate": 2.4590163934426227e-06,
"loss": 0.0295,
"step": 1108
},
{
"epoch": 9.99,
"learning_rate": 1.967213114754098e-06,
"loss": 0.0268,
"step": 1109
},
{
"epoch": 10.0,
"learning_rate": 1.4754098360655737e-06,
"loss": 0.0308,
"step": 1110
},
{
"epoch": 10.0,
"step": 1110,
"total_flos": 0.0,
"train_loss": 2.1241667401347613,
"train_runtime": 25891.0003,
"train_samples_per_second": 11.022,
"train_steps_per_second": 0.043
}
],
"max_steps": 1110,
"num_train_epochs": 10,
"total_flos": 0.0,
"trial_name": null,
"trial_params": null
}