wav2vec2-2-gpt2-grid-search / trainer_state.json
sanchit-gandhi's picture
End of training
cb859ba
raw
history blame
No virus
139 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.9995796553173603,
"global_step": 1189,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 0.0,
"loss": 4.8511,
"step": 1
},
{
"epoch": 0.0,
"learning_rate": 0.0,
"loss": 5.0392,
"step": 2
},
{
"epoch": 0.0,
"learning_rate": 2e-06,
"loss": 5.0449,
"step": 3
},
{
"epoch": 0.0,
"learning_rate": 4e-06,
"loss": 4.8611,
"step": 4
},
{
"epoch": 0.0,
"learning_rate": 6e-06,
"loss": 4.5775,
"step": 5
},
{
"epoch": 0.01,
"learning_rate": 8e-06,
"loss": 4.895,
"step": 6
},
{
"epoch": 0.01,
"learning_rate": 1e-05,
"loss": 4.619,
"step": 7
},
{
"epoch": 0.01,
"learning_rate": 1.2e-05,
"loss": 4.5561,
"step": 8
},
{
"epoch": 0.01,
"learning_rate": 1.2e-05,
"loss": 4.7099,
"step": 9
},
{
"epoch": 0.01,
"learning_rate": 1.4e-05,
"loss": 4.5353,
"step": 10
},
{
"epoch": 0.01,
"learning_rate": 1.6e-05,
"loss": 4.5746,
"step": 11
},
{
"epoch": 0.01,
"learning_rate": 1.8e-05,
"loss": 4.4166,
"step": 12
},
{
"epoch": 0.01,
"learning_rate": 2e-05,
"loss": 4.6183,
"step": 13
},
{
"epoch": 0.01,
"learning_rate": 2.2e-05,
"loss": 4.3869,
"step": 14
},
{
"epoch": 0.01,
"learning_rate": 2.4e-05,
"loss": 4.2778,
"step": 15
},
{
"epoch": 0.01,
"learning_rate": 2.6e-05,
"loss": 4.4726,
"step": 16
},
{
"epoch": 0.01,
"learning_rate": 2.8e-05,
"loss": 4.4224,
"step": 17
},
{
"epoch": 0.02,
"learning_rate": 3e-05,
"loss": 4.5754,
"step": 18
},
{
"epoch": 0.02,
"learning_rate": 3.2e-05,
"loss": 4.2828,
"step": 19
},
{
"epoch": 0.02,
"learning_rate": 3.4000000000000007e-05,
"loss": 4.4854,
"step": 20
},
{
"epoch": 0.02,
"learning_rate": 3.6e-05,
"loss": 4.4592,
"step": 21
},
{
"epoch": 0.02,
"learning_rate": 3.8e-05,
"loss": 4.336,
"step": 22
},
{
"epoch": 0.02,
"learning_rate": 4e-05,
"loss": 4.4397,
"step": 23
},
{
"epoch": 0.02,
"learning_rate": 4.2000000000000004e-05,
"loss": 4.4482,
"step": 24
},
{
"epoch": 0.02,
"learning_rate": 4.4e-05,
"loss": 4.2657,
"step": 25
},
{
"epoch": 0.02,
"learning_rate": 4.6e-05,
"loss": 4.4489,
"step": 26
},
{
"epoch": 0.02,
"learning_rate": 4.8e-05,
"loss": 4.3049,
"step": 27
},
{
"epoch": 0.02,
"learning_rate": 5e-05,
"loss": 4.1245,
"step": 28
},
{
"epoch": 0.02,
"learning_rate": 5.2e-05,
"loss": 4.1784,
"step": 29
},
{
"epoch": 0.03,
"learning_rate": 5.4e-05,
"loss": 4.2998,
"step": 30
},
{
"epoch": 0.03,
"learning_rate": 5.6e-05,
"loss": 4.4284,
"step": 31
},
{
"epoch": 0.03,
"learning_rate": 5.800000000000001e-05,
"loss": 4.2353,
"step": 32
},
{
"epoch": 0.03,
"learning_rate": 6e-05,
"loss": 4.3895,
"step": 33
},
{
"epoch": 0.03,
"learning_rate": 6.2e-05,
"loss": 4.0501,
"step": 34
},
{
"epoch": 0.03,
"learning_rate": 6.4e-05,
"loss": 4.2444,
"step": 35
},
{
"epoch": 0.03,
"learning_rate": 6.6e-05,
"loss": 4.5839,
"step": 36
},
{
"epoch": 0.03,
"learning_rate": 6.800000000000001e-05,
"loss": 4.3782,
"step": 37
},
{
"epoch": 0.03,
"learning_rate": 7.000000000000001e-05,
"loss": 4.2556,
"step": 38
},
{
"epoch": 0.03,
"learning_rate": 7.2e-05,
"loss": 4.7111,
"step": 39
},
{
"epoch": 0.03,
"learning_rate": 7.4e-05,
"loss": 4.4187,
"step": 40
},
{
"epoch": 0.03,
"learning_rate": 7.6e-05,
"loss": 4.1914,
"step": 41
},
{
"epoch": 0.04,
"learning_rate": 7.8e-05,
"loss": 4.2891,
"step": 42
},
{
"epoch": 0.04,
"learning_rate": 8e-05,
"loss": 4.2439,
"step": 43
},
{
"epoch": 0.04,
"learning_rate": 8.2e-05,
"loss": 4.2867,
"step": 44
},
{
"epoch": 0.04,
"learning_rate": 8.400000000000001e-05,
"loss": 4.4894,
"step": 45
},
{
"epoch": 0.04,
"learning_rate": 8.599999999999999e-05,
"loss": 4.4172,
"step": 46
},
{
"epoch": 0.04,
"learning_rate": 8.8e-05,
"loss": 4.6963,
"step": 47
},
{
"epoch": 0.04,
"learning_rate": 8.999999999999999e-05,
"loss": 4.7471,
"step": 48
},
{
"epoch": 0.04,
"learning_rate": 9.2e-05,
"loss": 4.9014,
"step": 49
},
{
"epoch": 0.04,
"learning_rate": 9.400000000000001e-05,
"loss": 4.7686,
"step": 50
},
{
"epoch": 0.04,
"learning_rate": 9.6e-05,
"loss": 4.368,
"step": 51
},
{
"epoch": 0.04,
"learning_rate": 9.800000000000001e-05,
"loss": 4.3822,
"step": 52
},
{
"epoch": 0.04,
"learning_rate": 0.0001,
"loss": 4.2264,
"step": 53
},
{
"epoch": 0.05,
"learning_rate": 0.000102,
"loss": 4.2716,
"step": 54
},
{
"epoch": 0.05,
"learning_rate": 0.000104,
"loss": 4.4112,
"step": 55
},
{
"epoch": 0.05,
"learning_rate": 0.000106,
"loss": 4.191,
"step": 56
},
{
"epoch": 0.05,
"learning_rate": 0.000108,
"loss": 4.4509,
"step": 57
},
{
"epoch": 0.05,
"learning_rate": 0.00011,
"loss": 4.4127,
"step": 58
},
{
"epoch": 0.05,
"learning_rate": 0.000112,
"loss": 4.2537,
"step": 59
},
{
"epoch": 0.05,
"learning_rate": 0.000114,
"loss": 4.4896,
"step": 60
},
{
"epoch": 0.05,
"learning_rate": 0.00011600000000000001,
"loss": 4.2308,
"step": 61
},
{
"epoch": 0.05,
"learning_rate": 0.000118,
"loss": 4.4071,
"step": 62
},
{
"epoch": 0.05,
"learning_rate": 0.00012,
"loss": 4.2868,
"step": 63
},
{
"epoch": 0.05,
"learning_rate": 0.000122,
"loss": 4.1752,
"step": 64
},
{
"epoch": 0.05,
"learning_rate": 0.000124,
"loss": 4.1496,
"step": 65
},
{
"epoch": 0.06,
"learning_rate": 0.000126,
"loss": 4.2547,
"step": 66
},
{
"epoch": 0.06,
"learning_rate": 0.000128,
"loss": 4.3735,
"step": 67
},
{
"epoch": 0.06,
"learning_rate": 0.00013000000000000002,
"loss": 4.243,
"step": 68
},
{
"epoch": 0.06,
"learning_rate": 0.000132,
"loss": 4.2763,
"step": 69
},
{
"epoch": 0.06,
"learning_rate": 0.000134,
"loss": 4.3281,
"step": 70
},
{
"epoch": 0.06,
"learning_rate": 0.00013600000000000003,
"loss": 4.5117,
"step": 71
},
{
"epoch": 0.06,
"learning_rate": 0.00013800000000000002,
"loss": 4.4156,
"step": 72
},
{
"epoch": 0.06,
"learning_rate": 0.00014000000000000001,
"loss": 4.2873,
"step": 73
},
{
"epoch": 0.06,
"learning_rate": 0.00014199999999999998,
"loss": 4.4208,
"step": 74
},
{
"epoch": 0.06,
"learning_rate": 0.000144,
"loss": 4.2238,
"step": 75
},
{
"epoch": 0.06,
"learning_rate": 0.000146,
"loss": 4.5864,
"step": 76
},
{
"epoch": 0.06,
"learning_rate": 0.000148,
"loss": 4.4607,
"step": 77
},
{
"epoch": 0.07,
"learning_rate": 0.00015,
"loss": 4.2875,
"step": 78
},
{
"epoch": 0.07,
"learning_rate": 0.000152,
"loss": 4.2922,
"step": 79
},
{
"epoch": 0.07,
"learning_rate": 0.000154,
"loss": 4.4421,
"step": 80
},
{
"epoch": 0.07,
"learning_rate": 0.000156,
"loss": 4.433,
"step": 81
},
{
"epoch": 0.07,
"learning_rate": 0.000158,
"loss": 4.3725,
"step": 82
},
{
"epoch": 0.07,
"learning_rate": 0.00016,
"loss": 4.3333,
"step": 83
},
{
"epoch": 0.07,
"learning_rate": 0.000162,
"loss": 4.4473,
"step": 84
},
{
"epoch": 0.07,
"learning_rate": 0.000164,
"loss": 4.4238,
"step": 85
},
{
"epoch": 0.07,
"learning_rate": 0.00016600000000000002,
"loss": 4.3154,
"step": 86
},
{
"epoch": 0.07,
"learning_rate": 0.00016800000000000002,
"loss": 4.2695,
"step": 87
},
{
"epoch": 0.07,
"learning_rate": 0.00017,
"loss": 4.4924,
"step": 88
},
{
"epoch": 0.07,
"learning_rate": 0.00017199999999999998,
"loss": 4.5737,
"step": 89
},
{
"epoch": 0.08,
"learning_rate": 0.000174,
"loss": 4.457,
"step": 90
},
{
"epoch": 0.08,
"learning_rate": 0.000176,
"loss": 4.5949,
"step": 91
},
{
"epoch": 0.08,
"learning_rate": 0.000178,
"loss": 4.5588,
"step": 92
},
{
"epoch": 0.08,
"learning_rate": 0.00017999999999999998,
"loss": 4.1973,
"step": 93
},
{
"epoch": 0.08,
"learning_rate": 0.000182,
"loss": 4.5561,
"step": 94
},
{
"epoch": 0.08,
"learning_rate": 0.000184,
"loss": 4.7577,
"step": 95
},
{
"epoch": 0.08,
"learning_rate": 0.000186,
"loss": 4.6404,
"step": 96
},
{
"epoch": 0.08,
"learning_rate": 0.00018800000000000002,
"loss": 4.6471,
"step": 97
},
{
"epoch": 0.08,
"learning_rate": 0.00019,
"loss": 4.7406,
"step": 98
},
{
"epoch": 0.08,
"learning_rate": 0.000192,
"loss": 4.6403,
"step": 99
},
{
"epoch": 0.08,
"learning_rate": 0.000194,
"loss": 4.444,
"step": 100
},
{
"epoch": 0.08,
"learning_rate": 0.00019600000000000002,
"loss": 4.3784,
"step": 101
},
{
"epoch": 0.09,
"learning_rate": 0.00019800000000000002,
"loss": 4.6657,
"step": 102
},
{
"epoch": 0.09,
"learning_rate": 0.0002,
"loss": 4.4524,
"step": 103
},
{
"epoch": 0.09,
"learning_rate": 0.000202,
"loss": 4.6985,
"step": 104
},
{
"epoch": 0.09,
"learning_rate": 0.000204,
"loss": 4.6463,
"step": 105
},
{
"epoch": 0.09,
"learning_rate": 0.000206,
"loss": 4.5927,
"step": 106
},
{
"epoch": 0.09,
"learning_rate": 0.000208,
"loss": 4.6364,
"step": 107
},
{
"epoch": 0.09,
"learning_rate": 0.00021,
"loss": 4.6561,
"step": 108
},
{
"epoch": 0.09,
"learning_rate": 0.000212,
"loss": 4.8036,
"step": 109
},
{
"epoch": 0.09,
"learning_rate": 0.000214,
"loss": 4.4123,
"step": 110
},
{
"epoch": 0.09,
"learning_rate": 0.000216,
"loss": 4.6414,
"step": 111
},
{
"epoch": 0.09,
"learning_rate": 0.000218,
"loss": 4.7836,
"step": 112
},
{
"epoch": 0.09,
"learning_rate": 0.00022,
"loss": 4.412,
"step": 113
},
{
"epoch": 0.1,
"learning_rate": 0.000222,
"loss": 4.6303,
"step": 114
},
{
"epoch": 0.1,
"learning_rate": 0.000224,
"loss": 4.5641,
"step": 115
},
{
"epoch": 0.1,
"learning_rate": 0.00022600000000000002,
"loss": 4.7007,
"step": 116
},
{
"epoch": 0.1,
"learning_rate": 0.000228,
"loss": 4.4402,
"step": 117
},
{
"epoch": 0.1,
"learning_rate": 0.00023,
"loss": 4.2599,
"step": 118
},
{
"epoch": 0.1,
"learning_rate": 0.00023200000000000003,
"loss": 4.3835,
"step": 119
},
{
"epoch": 0.1,
"learning_rate": 0.00023400000000000002,
"loss": 4.3983,
"step": 120
},
{
"epoch": 0.1,
"learning_rate": 0.000236,
"loss": 4.8916,
"step": 121
},
{
"epoch": 0.1,
"learning_rate": 0.00023799999999999998,
"loss": 4.5147,
"step": 122
},
{
"epoch": 0.1,
"learning_rate": 0.00024,
"loss": 4.555,
"step": 123
},
{
"epoch": 0.1,
"learning_rate": 0.000242,
"loss": 4.6935,
"step": 124
},
{
"epoch": 0.11,
"learning_rate": 0.000244,
"loss": 4.3677,
"step": 125
},
{
"epoch": 0.11,
"learning_rate": 0.000246,
"loss": 4.515,
"step": 126
},
{
"epoch": 0.11,
"learning_rate": 0.000248,
"loss": 4.6372,
"step": 127
},
{
"epoch": 0.11,
"learning_rate": 0.00025,
"loss": 4.4019,
"step": 128
},
{
"epoch": 0.11,
"learning_rate": 0.000252,
"loss": 4.3392,
"step": 129
},
{
"epoch": 0.11,
"learning_rate": 0.000254,
"loss": 4.5796,
"step": 130
},
{
"epoch": 0.11,
"learning_rate": 0.000256,
"loss": 4.5943,
"step": 131
},
{
"epoch": 0.11,
"learning_rate": 0.00025800000000000004,
"loss": 4.4655,
"step": 132
},
{
"epoch": 0.11,
"learning_rate": 0.00026000000000000003,
"loss": 4.8017,
"step": 133
},
{
"epoch": 0.11,
"learning_rate": 0.000262,
"loss": 4.5575,
"step": 134
},
{
"epoch": 0.11,
"learning_rate": 0.000264,
"loss": 4.6614,
"step": 135
},
{
"epoch": 0.11,
"learning_rate": 0.000266,
"loss": 4.4765,
"step": 136
},
{
"epoch": 0.12,
"learning_rate": 0.000268,
"loss": 4.5643,
"step": 137
},
{
"epoch": 0.12,
"learning_rate": 0.00027,
"loss": 4.666,
"step": 138
},
{
"epoch": 0.12,
"learning_rate": 0.00027200000000000005,
"loss": 4.6639,
"step": 139
},
{
"epoch": 0.12,
"learning_rate": 0.00027400000000000005,
"loss": 4.6461,
"step": 140
},
{
"epoch": 0.12,
"learning_rate": 0.00027600000000000004,
"loss": 4.8226,
"step": 141
},
{
"epoch": 0.12,
"learning_rate": 0.00027800000000000004,
"loss": 4.5566,
"step": 142
},
{
"epoch": 0.12,
"learning_rate": 0.00028000000000000003,
"loss": 4.4941,
"step": 143
},
{
"epoch": 0.12,
"learning_rate": 0.00028199999999999997,
"loss": 4.8677,
"step": 144
},
{
"epoch": 0.12,
"learning_rate": 0.00028399999999999996,
"loss": 5.048,
"step": 145
},
{
"epoch": 0.12,
"learning_rate": 0.00028599999999999996,
"loss": 4.8524,
"step": 146
},
{
"epoch": 0.12,
"learning_rate": 0.000288,
"loss": 4.9183,
"step": 147
},
{
"epoch": 0.12,
"learning_rate": 0.00029,
"loss": 4.4394,
"step": 148
},
{
"epoch": 0.13,
"learning_rate": 0.000292,
"loss": 5.5298,
"step": 149
},
{
"epoch": 0.13,
"learning_rate": 0.000294,
"loss": 4.7055,
"step": 150
},
{
"epoch": 0.13,
"learning_rate": 0.000296,
"loss": 4.8902,
"step": 151
},
{
"epoch": 0.13,
"learning_rate": 0.000298,
"loss": 4.8158,
"step": 152
},
{
"epoch": 0.13,
"learning_rate": 0.0003,
"loss": 4.7027,
"step": 153
},
{
"epoch": 0.13,
"learning_rate": 0.000302,
"loss": 4.7774,
"step": 154
},
{
"epoch": 0.13,
"learning_rate": 0.000304,
"loss": 4.7513,
"step": 155
},
{
"epoch": 0.13,
"learning_rate": 0.000306,
"loss": 4.5636,
"step": 156
},
{
"epoch": 0.13,
"learning_rate": 0.000308,
"loss": 4.6546,
"step": 157
},
{
"epoch": 0.13,
"learning_rate": 0.00031,
"loss": 5.6404,
"step": 158
},
{
"epoch": 0.13,
"learning_rate": 0.000312,
"loss": 4.6338,
"step": 159
},
{
"epoch": 0.13,
"learning_rate": 0.000314,
"loss": 4.6164,
"step": 160
},
{
"epoch": 0.14,
"learning_rate": 0.000316,
"loss": 7.2017,
"step": 161
},
{
"epoch": 0.14,
"learning_rate": 0.00031800000000000003,
"loss": 5.0695,
"step": 162
},
{
"epoch": 0.14,
"learning_rate": 0.00032,
"loss": 5.8149,
"step": 163
},
{
"epoch": 0.14,
"learning_rate": 0.000322,
"loss": 5.784,
"step": 164
},
{
"epoch": 0.14,
"learning_rate": 0.000324,
"loss": 5.1999,
"step": 165
},
{
"epoch": 0.14,
"learning_rate": 0.000326,
"loss": 5.1967,
"step": 166
},
{
"epoch": 0.14,
"learning_rate": 0.000328,
"loss": 6.9382,
"step": 167
},
{
"epoch": 0.14,
"learning_rate": 0.00033,
"loss": 5.4285,
"step": 168
},
{
"epoch": 0.14,
"learning_rate": 0.00033200000000000005,
"loss": 5.1949,
"step": 169
},
{
"epoch": 0.14,
"learning_rate": 0.00033400000000000004,
"loss": 4.737,
"step": 170
},
{
"epoch": 0.14,
"learning_rate": 0.00033600000000000004,
"loss": 4.7707,
"step": 171
},
{
"epoch": 0.14,
"learning_rate": 0.00033800000000000003,
"loss": 4.817,
"step": 172
},
{
"epoch": 0.15,
"learning_rate": 0.00034,
"loss": 4.7532,
"step": 173
},
{
"epoch": 0.15,
"learning_rate": 0.000342,
"loss": 5.9552,
"step": 174
},
{
"epoch": 0.15,
"learning_rate": 0.00034399999999999996,
"loss": 4.8476,
"step": 175
},
{
"epoch": 0.15,
"learning_rate": 0.000346,
"loss": 5.7053,
"step": 176
},
{
"epoch": 0.15,
"learning_rate": 0.000348,
"loss": 4.8703,
"step": 177
},
{
"epoch": 0.15,
"learning_rate": 0.00035,
"loss": 4.7289,
"step": 178
},
{
"epoch": 0.15,
"learning_rate": 0.000352,
"loss": 4.628,
"step": 179
},
{
"epoch": 0.15,
"learning_rate": 0.000354,
"loss": 4.8781,
"step": 180
},
{
"epoch": 0.15,
"learning_rate": 0.000356,
"loss": 4.8125,
"step": 181
},
{
"epoch": 0.15,
"learning_rate": 0.000358,
"loss": 4.9407,
"step": 182
},
{
"epoch": 0.15,
"learning_rate": 0.00035999999999999997,
"loss": 4.7761,
"step": 183
},
{
"epoch": 0.15,
"learning_rate": 0.000362,
"loss": 5.049,
"step": 184
},
{
"epoch": 0.16,
"learning_rate": 0.000364,
"loss": 4.4187,
"step": 185
},
{
"epoch": 0.16,
"learning_rate": 0.000366,
"loss": 4.9644,
"step": 186
},
{
"epoch": 0.16,
"learning_rate": 0.000368,
"loss": 4.8425,
"step": 187
},
{
"epoch": 0.16,
"learning_rate": 0.00037,
"loss": 4.6558,
"step": 188
},
{
"epoch": 0.16,
"learning_rate": 0.000372,
"loss": 4.973,
"step": 189
},
{
"epoch": 0.16,
"learning_rate": 0.000374,
"loss": 5.0381,
"step": 190
},
{
"epoch": 0.16,
"learning_rate": 0.00037600000000000003,
"loss": 5.2445,
"step": 191
},
{
"epoch": 0.16,
"learning_rate": 0.000378,
"loss": 5.4255,
"step": 192
},
{
"epoch": 0.16,
"learning_rate": 0.00038,
"loss": 4.9689,
"step": 193
},
{
"epoch": 0.16,
"learning_rate": 0.000382,
"loss": 5.2518,
"step": 194
},
{
"epoch": 0.16,
"learning_rate": 0.000384,
"loss": 4.9659,
"step": 195
},
{
"epoch": 0.16,
"learning_rate": 0.000386,
"loss": 5.2984,
"step": 196
},
{
"epoch": 0.17,
"learning_rate": 0.000388,
"loss": 4.9212,
"step": 197
},
{
"epoch": 0.17,
"learning_rate": 0.00039000000000000005,
"loss": 5.186,
"step": 198
},
{
"epoch": 0.17,
"learning_rate": 0.00039200000000000004,
"loss": 5.0575,
"step": 199
},
{
"epoch": 0.17,
"learning_rate": 0.00039400000000000004,
"loss": 4.6557,
"step": 200
},
{
"epoch": 0.17,
"learning_rate": 0.00039600000000000003,
"loss": 5.1663,
"step": 201
},
{
"epoch": 0.17,
"learning_rate": 0.000398,
"loss": 5.0017,
"step": 202
},
{
"epoch": 0.17,
"learning_rate": 0.0004,
"loss": 5.2516,
"step": 203
},
{
"epoch": 0.17,
"learning_rate": 0.000402,
"loss": 4.8405,
"step": 204
},
{
"epoch": 0.17,
"learning_rate": 0.000404,
"loss": 5.2231,
"step": 205
},
{
"epoch": 0.17,
"learning_rate": 0.00040600000000000006,
"loss": 5.0627,
"step": 206
},
{
"epoch": 0.17,
"learning_rate": 0.000408,
"loss": 4.7863,
"step": 207
},
{
"epoch": 0.17,
"learning_rate": 0.00041,
"loss": 5.9023,
"step": 208
},
{
"epoch": 0.18,
"learning_rate": 0.000412,
"loss": 4.9873,
"step": 209
},
{
"epoch": 0.18,
"learning_rate": 0.000414,
"loss": 5.1966,
"step": 210
},
{
"epoch": 0.18,
"learning_rate": 0.000416,
"loss": 4.8328,
"step": 211
},
{
"epoch": 0.18,
"learning_rate": 0.00041799999999999997,
"loss": 5.0304,
"step": 212
},
{
"epoch": 0.18,
"learning_rate": 0.00042,
"loss": 4.7429,
"step": 213
},
{
"epoch": 0.18,
"learning_rate": 0.000422,
"loss": 4.9829,
"step": 214
},
{
"epoch": 0.18,
"learning_rate": 0.000424,
"loss": 4.8241,
"step": 215
},
{
"epoch": 0.18,
"learning_rate": 0.000426,
"loss": 4.8027,
"step": 216
},
{
"epoch": 0.18,
"learning_rate": 0.000428,
"loss": 5.1121,
"step": 217
},
{
"epoch": 0.18,
"learning_rate": 0.00043,
"loss": 4.8366,
"step": 218
},
{
"epoch": 0.18,
"learning_rate": 0.000432,
"loss": 4.623,
"step": 219
},
{
"epoch": 0.18,
"learning_rate": 0.00043400000000000003,
"loss": 5.8336,
"step": 220
},
{
"epoch": 0.19,
"learning_rate": 0.000436,
"loss": 4.9087,
"step": 221
},
{
"epoch": 0.19,
"learning_rate": 0.000438,
"loss": 5.4127,
"step": 222
},
{
"epoch": 0.19,
"learning_rate": 0.00044,
"loss": 5.0507,
"step": 223
},
{
"epoch": 0.19,
"learning_rate": 0.000442,
"loss": 5.0366,
"step": 224
},
{
"epoch": 0.19,
"learning_rate": 0.000444,
"loss": 4.8739,
"step": 225
},
{
"epoch": 0.19,
"learning_rate": 0.000446,
"loss": 4.6306,
"step": 226
},
{
"epoch": 0.19,
"learning_rate": 0.000448,
"loss": 4.9492,
"step": 227
},
{
"epoch": 0.19,
"learning_rate": 0.00045000000000000004,
"loss": 5.2392,
"step": 228
},
{
"epoch": 0.19,
"learning_rate": 0.00045200000000000004,
"loss": 5.1064,
"step": 229
},
{
"epoch": 0.19,
"learning_rate": 0.00045400000000000003,
"loss": 4.8969,
"step": 230
},
{
"epoch": 0.19,
"learning_rate": 0.000456,
"loss": 4.9746,
"step": 231
},
{
"epoch": 0.2,
"learning_rate": 0.000458,
"loss": 4.7355,
"step": 232
},
{
"epoch": 0.2,
"learning_rate": 0.00046,
"loss": 5.2297,
"step": 233
},
{
"epoch": 0.2,
"learning_rate": 0.000462,
"loss": 5.0465,
"step": 234
},
{
"epoch": 0.2,
"learning_rate": 0.00046400000000000006,
"loss": 5.0885,
"step": 235
},
{
"epoch": 0.2,
"learning_rate": 0.00046600000000000005,
"loss": 5.3038,
"step": 236
},
{
"epoch": 0.2,
"learning_rate": 0.00046800000000000005,
"loss": 4.8304,
"step": 237
},
{
"epoch": 0.2,
"learning_rate": 0.00047,
"loss": 4.8464,
"step": 238
},
{
"epoch": 0.2,
"learning_rate": 0.000472,
"loss": 4.8042,
"step": 239
},
{
"epoch": 0.2,
"learning_rate": 0.000474,
"loss": 4.8883,
"step": 240
},
{
"epoch": 0.2,
"learning_rate": 0.00047599999999999997,
"loss": 5.4181,
"step": 241
},
{
"epoch": 0.2,
"learning_rate": 0.00047799999999999996,
"loss": 5.1992,
"step": 242
},
{
"epoch": 0.2,
"learning_rate": 0.00048,
"loss": 5.1573,
"step": 243
},
{
"epoch": 0.21,
"learning_rate": 0.000482,
"loss": 4.9052,
"step": 244
},
{
"epoch": 0.21,
"learning_rate": 0.000484,
"loss": 5.9046,
"step": 245
},
{
"epoch": 0.21,
"learning_rate": 0.000486,
"loss": 4.7418,
"step": 246
},
{
"epoch": 0.21,
"learning_rate": 0.000488,
"loss": 6.3338,
"step": 247
},
{
"epoch": 0.21,
"learning_rate": 0.00049,
"loss": 5.2248,
"step": 248
},
{
"epoch": 0.21,
"learning_rate": 0.000492,
"loss": 8.206,
"step": 249
},
{
"epoch": 0.21,
"learning_rate": 0.000494,
"loss": 5.2911,
"step": 250
},
{
"epoch": 0.21,
"learning_rate": 0.000496,
"loss": 5.3111,
"step": 251
},
{
"epoch": 0.21,
"learning_rate": 0.000498,
"loss": 4.8883,
"step": 252
},
{
"epoch": 0.21,
"learning_rate": 0.0005,
"loss": 5.0506,
"step": 253
},
{
"epoch": 0.21,
"learning_rate": 0.0005020000000000001,
"loss": 4.7748,
"step": 254
},
{
"epoch": 0.21,
"learning_rate": 0.000504,
"loss": 4.9331,
"step": 255
},
{
"epoch": 0.22,
"learning_rate": 0.000506,
"loss": 5.2438,
"step": 256
},
{
"epoch": 0.22,
"learning_rate": 0.000508,
"loss": 4.6562,
"step": 257
},
{
"epoch": 0.22,
"learning_rate": 0.00051,
"loss": 5.5853,
"step": 258
},
{
"epoch": 0.22,
"learning_rate": 0.000512,
"loss": 5.2,
"step": 259
},
{
"epoch": 0.22,
"learning_rate": 0.000514,
"loss": 4.8476,
"step": 260
},
{
"epoch": 0.22,
"learning_rate": 0.0005160000000000001,
"loss": 4.9591,
"step": 261
},
{
"epoch": 0.22,
"learning_rate": 0.000518,
"loss": 5.2288,
"step": 262
},
{
"epoch": 0.22,
"learning_rate": 0.0005200000000000001,
"loss": 5.0392,
"step": 263
},
{
"epoch": 0.22,
"learning_rate": 0.000522,
"loss": 5.1153,
"step": 264
},
{
"epoch": 0.22,
"learning_rate": 0.000524,
"loss": 5.0144,
"step": 265
},
{
"epoch": 0.22,
"learning_rate": 0.000526,
"loss": 5.4205,
"step": 266
},
{
"epoch": 0.22,
"learning_rate": 0.000528,
"loss": 4.859,
"step": 267
},
{
"epoch": 0.23,
"learning_rate": 0.0005300000000000001,
"loss": 5.0684,
"step": 268
},
{
"epoch": 0.23,
"learning_rate": 0.000532,
"loss": 5.0688,
"step": 269
},
{
"epoch": 0.23,
"learning_rate": 0.0005340000000000001,
"loss": 4.842,
"step": 270
},
{
"epoch": 0.23,
"learning_rate": 0.000536,
"loss": 5.0882,
"step": 271
},
{
"epoch": 0.23,
"learning_rate": 0.0005380000000000001,
"loss": 4.8919,
"step": 272
},
{
"epoch": 0.23,
"learning_rate": 0.00054,
"loss": 4.8645,
"step": 273
},
{
"epoch": 0.23,
"learning_rate": 0.0005420000000000001,
"loss": 4.9041,
"step": 274
},
{
"epoch": 0.23,
"learning_rate": 0.0005440000000000001,
"loss": 4.9276,
"step": 275
},
{
"epoch": 0.23,
"learning_rate": 0.000546,
"loss": 4.7217,
"step": 276
},
{
"epoch": 0.23,
"learning_rate": 0.0005480000000000001,
"loss": 5.7271,
"step": 277
},
{
"epoch": 0.23,
"learning_rate": 0.00055,
"loss": 5.5031,
"step": 278
},
{
"epoch": 0.23,
"learning_rate": 0.0005520000000000001,
"loss": 5.4163,
"step": 279
},
{
"epoch": 0.24,
"learning_rate": 0.000554,
"loss": 5.0355,
"step": 280
},
{
"epoch": 0.24,
"learning_rate": 0.0005560000000000001,
"loss": 4.9209,
"step": 281
},
{
"epoch": 0.24,
"learning_rate": 0.000558,
"loss": 5.0386,
"step": 282
},
{
"epoch": 0.24,
"learning_rate": 0.0005600000000000001,
"loss": 6.3469,
"step": 283
},
{
"epoch": 0.24,
"learning_rate": 0.0005620000000000001,
"loss": 5.1925,
"step": 284
},
{
"epoch": 0.24,
"learning_rate": 0.0005639999999999999,
"loss": 5.1816,
"step": 285
},
{
"epoch": 0.24,
"learning_rate": 0.000566,
"loss": 4.9083,
"step": 286
},
{
"epoch": 0.24,
"learning_rate": 0.0005679999999999999,
"loss": 5.0828,
"step": 287
},
{
"epoch": 0.24,
"learning_rate": 0.00057,
"loss": 4.7952,
"step": 288
},
{
"epoch": 0.24,
"learning_rate": 0.0005719999999999999,
"loss": 5.0554,
"step": 289
},
{
"epoch": 0.24,
"learning_rate": 0.000574,
"loss": 5.0934,
"step": 290
},
{
"epoch": 0.24,
"learning_rate": 0.000576,
"loss": 5.2574,
"step": 291
},
{
"epoch": 0.25,
"learning_rate": 0.000578,
"loss": 6.2128,
"step": 292
},
{
"epoch": 0.25,
"learning_rate": 0.00058,
"loss": 4.7037,
"step": 293
},
{
"epoch": 0.25,
"learning_rate": 0.0005819999999999999,
"loss": 5.0873,
"step": 294
},
{
"epoch": 0.25,
"learning_rate": 0.000584,
"loss": 5.2764,
"step": 295
},
{
"epoch": 0.25,
"learning_rate": 0.0005859999999999999,
"loss": 6.2514,
"step": 296
},
{
"epoch": 0.25,
"learning_rate": 0.000588,
"loss": 5.6582,
"step": 297
},
{
"epoch": 0.25,
"learning_rate": 0.00059,
"loss": 5.2889,
"step": 298
},
{
"epoch": 0.25,
"learning_rate": 0.000592,
"loss": 8.0798,
"step": 299
},
{
"epoch": 0.25,
"learning_rate": 0.000594,
"loss": 7.3563,
"step": 300
},
{
"epoch": 0.25,
"learning_rate": 0.000596,
"loss": 5.2756,
"step": 301
},
{
"epoch": 0.25,
"learning_rate": 0.000598,
"loss": 5.2133,
"step": 302
},
{
"epoch": 0.25,
"learning_rate": 0.0006,
"loss": 5.4376,
"step": 303
},
{
"epoch": 0.26,
"learning_rate": 0.000602,
"loss": 4.9474,
"step": 304
},
{
"epoch": 0.26,
"learning_rate": 0.000604,
"loss": 4.9552,
"step": 305
},
{
"epoch": 0.26,
"learning_rate": 0.000606,
"loss": 5.4167,
"step": 306
},
{
"epoch": 0.26,
"learning_rate": 0.000608,
"loss": 5.1688,
"step": 307
},
{
"epoch": 0.26,
"learning_rate": 0.00061,
"loss": 5.1933,
"step": 308
},
{
"epoch": 0.26,
"learning_rate": 0.000612,
"loss": 4.7817,
"step": 309
},
{
"epoch": 0.26,
"learning_rate": 0.000614,
"loss": 5.4313,
"step": 310
},
{
"epoch": 0.26,
"learning_rate": 0.000616,
"loss": 4.9793,
"step": 311
},
{
"epoch": 0.26,
"learning_rate": 0.0006180000000000001,
"loss": 4.8846,
"step": 312
},
{
"epoch": 0.26,
"learning_rate": 0.00062,
"loss": 4.8638,
"step": 313
},
{
"epoch": 0.26,
"learning_rate": 0.000622,
"loss": 5.2058,
"step": 314
},
{
"epoch": 0.26,
"learning_rate": 0.000624,
"loss": 4.7608,
"step": 315
},
{
"epoch": 0.27,
"learning_rate": 0.000626,
"loss": 5.1831,
"step": 316
},
{
"epoch": 0.27,
"learning_rate": 0.000628,
"loss": 5.3887,
"step": 317
},
{
"epoch": 0.27,
"learning_rate": 0.00063,
"loss": 5.0039,
"step": 318
},
{
"epoch": 0.27,
"learning_rate": 0.000632,
"loss": 4.9832,
"step": 319
},
{
"epoch": 0.27,
"learning_rate": 0.000634,
"loss": 5.0153,
"step": 320
},
{
"epoch": 0.27,
"learning_rate": 0.0006360000000000001,
"loss": 5.1506,
"step": 321
},
{
"epoch": 0.27,
"learning_rate": 0.000638,
"loss": 4.9482,
"step": 322
},
{
"epoch": 0.27,
"learning_rate": 0.00064,
"loss": 4.9163,
"step": 323
},
{
"epoch": 0.27,
"learning_rate": 0.000642,
"loss": 5.4786,
"step": 324
},
{
"epoch": 0.27,
"learning_rate": 0.000644,
"loss": 4.8748,
"step": 325
},
{
"epoch": 0.27,
"learning_rate": 0.000646,
"loss": 6.1923,
"step": 326
},
{
"epoch": 0.27,
"learning_rate": 0.000648,
"loss": 5.4042,
"step": 327
},
{
"epoch": 0.28,
"learning_rate": 0.0006500000000000001,
"loss": 5.3992,
"step": 328
},
{
"epoch": 0.28,
"learning_rate": 0.000652,
"loss": 4.9699,
"step": 329
},
{
"epoch": 0.28,
"learning_rate": 0.0006540000000000001,
"loss": 5.8082,
"step": 330
},
{
"epoch": 0.28,
"learning_rate": 0.000656,
"loss": 5.466,
"step": 331
},
{
"epoch": 0.28,
"learning_rate": 0.0006580000000000001,
"loss": 6.293,
"step": 332
},
{
"epoch": 0.28,
"learning_rate": 0.00066,
"loss": 5.1304,
"step": 333
},
{
"epoch": 0.28,
"learning_rate": 0.000662,
"loss": 5.2604,
"step": 334
},
{
"epoch": 0.28,
"learning_rate": 0.0006640000000000001,
"loss": 5.2558,
"step": 335
},
{
"epoch": 0.28,
"learning_rate": 0.000666,
"loss": 5.6875,
"step": 336
},
{
"epoch": 0.28,
"learning_rate": 0.0006680000000000001,
"loss": 4.9292,
"step": 337
},
{
"epoch": 0.28,
"learning_rate": 0.00067,
"loss": 5.2356,
"step": 338
},
{
"epoch": 0.28,
"learning_rate": 0.0006720000000000001,
"loss": 5.2205,
"step": 339
},
{
"epoch": 0.29,
"learning_rate": 0.000674,
"loss": 5.3556,
"step": 340
},
{
"epoch": 0.29,
"learning_rate": 0.0006760000000000001,
"loss": 5.2928,
"step": 341
},
{
"epoch": 0.29,
"learning_rate": 0.0006780000000000001,
"loss": 5.553,
"step": 342
},
{
"epoch": 0.29,
"learning_rate": 0.00068,
"loss": 6.2782,
"step": 343
},
{
"epoch": 0.29,
"learning_rate": 0.0006820000000000001,
"loss": 5.6736,
"step": 344
},
{
"epoch": 0.29,
"learning_rate": 0.000684,
"loss": 4.9139,
"step": 345
},
{
"epoch": 0.29,
"learning_rate": 0.0006860000000000001,
"loss": 5.4002,
"step": 346
},
{
"epoch": 0.29,
"learning_rate": 0.0006879999999999999,
"loss": 5.517,
"step": 347
},
{
"epoch": 0.29,
"learning_rate": 0.00069,
"loss": 6.5166,
"step": 348
},
{
"epoch": 0.29,
"learning_rate": 0.000692,
"loss": 5.9373,
"step": 349
},
{
"epoch": 0.29,
"learning_rate": 0.000694,
"loss": 5.1641,
"step": 350
},
{
"epoch": 0.3,
"learning_rate": 0.000696,
"loss": 5.9066,
"step": 351
},
{
"epoch": 0.3,
"learning_rate": 0.0006979999999999999,
"loss": 5.2212,
"step": 352
},
{
"epoch": 0.3,
"learning_rate": 0.0007,
"loss": 6.0158,
"step": 353
},
{
"epoch": 0.3,
"learning_rate": 0.0007019999999999999,
"loss": 5.3464,
"step": 354
},
{
"epoch": 0.3,
"learning_rate": 0.000704,
"loss": 5.1174,
"step": 355
},
{
"epoch": 0.3,
"learning_rate": 0.0007059999999999999,
"loss": 5.2882,
"step": 356
},
{
"epoch": 0.3,
"learning_rate": 0.000708,
"loss": 5.352,
"step": 357
},
{
"epoch": 0.3,
"learning_rate": 0.00071,
"loss": 4.9085,
"step": 358
},
{
"epoch": 0.3,
"learning_rate": 0.000712,
"loss": 5.2592,
"step": 359
},
{
"epoch": 0.3,
"learning_rate": 0.000714,
"loss": 5.2981,
"step": 360
},
{
"epoch": 0.3,
"learning_rate": 0.000716,
"loss": 4.9637,
"step": 361
},
{
"epoch": 0.3,
"learning_rate": 0.000718,
"loss": 5.5029,
"step": 362
},
{
"epoch": 0.31,
"learning_rate": 0.0007199999999999999,
"loss": 5.0046,
"step": 363
},
{
"epoch": 0.31,
"learning_rate": 0.000722,
"loss": 5.0682,
"step": 364
},
{
"epoch": 0.31,
"learning_rate": 0.000724,
"loss": 5.8746,
"step": 365
},
{
"epoch": 0.31,
"learning_rate": 0.000726,
"loss": 5.8206,
"step": 366
},
{
"epoch": 0.31,
"learning_rate": 0.000728,
"loss": 5.1082,
"step": 367
},
{
"epoch": 0.31,
"learning_rate": 0.00073,
"loss": 5.3463,
"step": 368
},
{
"epoch": 0.31,
"learning_rate": 0.000732,
"loss": 5.7593,
"step": 369
},
{
"epoch": 0.31,
"learning_rate": 0.000734,
"loss": 5.5599,
"step": 370
},
{
"epoch": 0.31,
"learning_rate": 0.000736,
"loss": 5.4685,
"step": 371
},
{
"epoch": 0.31,
"learning_rate": 0.000738,
"loss": 5.5344,
"step": 372
},
{
"epoch": 0.31,
"learning_rate": 0.00074,
"loss": 5.1595,
"step": 373
},
{
"epoch": 0.31,
"learning_rate": 0.000742,
"loss": 5.197,
"step": 374
},
{
"epoch": 0.32,
"learning_rate": 0.000744,
"loss": 5.1699,
"step": 375
},
{
"epoch": 0.32,
"learning_rate": 0.000746,
"loss": 5.4809,
"step": 376
},
{
"epoch": 0.32,
"learning_rate": 0.000748,
"loss": 5.297,
"step": 377
},
{
"epoch": 0.32,
"learning_rate": 0.00075,
"loss": 5.2932,
"step": 378
},
{
"epoch": 0.32,
"learning_rate": 0.0007520000000000001,
"loss": 5.2886,
"step": 379
},
{
"epoch": 0.32,
"learning_rate": 0.000754,
"loss": 5.3678,
"step": 380
},
{
"epoch": 0.32,
"learning_rate": 0.000756,
"loss": 4.9895,
"step": 381
},
{
"epoch": 0.32,
"learning_rate": 0.000758,
"loss": 5.2246,
"step": 382
},
{
"epoch": 0.32,
"learning_rate": 0.00076,
"loss": 5.0254,
"step": 383
},
{
"epoch": 0.32,
"learning_rate": 0.000762,
"loss": 5.3305,
"step": 384
},
{
"epoch": 0.32,
"learning_rate": 0.000764,
"loss": 5.3363,
"step": 385
},
{
"epoch": 0.32,
"learning_rate": 0.0007660000000000001,
"loss": 5.0416,
"step": 386
},
{
"epoch": 0.33,
"learning_rate": 0.000768,
"loss": 5.2708,
"step": 387
},
{
"epoch": 0.33,
"learning_rate": 0.0007700000000000001,
"loss": 5.1443,
"step": 388
},
{
"epoch": 0.33,
"learning_rate": 0.000772,
"loss": 5.4075,
"step": 389
},
{
"epoch": 0.33,
"learning_rate": 0.0007740000000000001,
"loss": 5.3772,
"step": 390
},
{
"epoch": 0.33,
"learning_rate": 0.000776,
"loss": 5.3105,
"step": 391
},
{
"epoch": 0.33,
"learning_rate": 0.000778,
"loss": 6.8609,
"step": 392
},
{
"epoch": 0.33,
"learning_rate": 0.0007800000000000001,
"loss": 5.0175,
"step": 393
},
{
"epoch": 0.33,
"learning_rate": 0.000782,
"loss": 5.3111,
"step": 394
},
{
"epoch": 0.33,
"learning_rate": 0.0007840000000000001,
"loss": 4.9941,
"step": 395
},
{
"epoch": 0.33,
"learning_rate": 0.000786,
"loss": 5.9271,
"step": 396
},
{
"epoch": 0.33,
"learning_rate": 0.0007880000000000001,
"loss": 5.6516,
"step": 397
},
{
"epoch": 0.33,
"learning_rate": 0.00079,
"loss": 5.606,
"step": 398
},
{
"epoch": 0.34,
"learning_rate": 0.0007920000000000001,
"loss": 6.9485,
"step": 399
},
{
"epoch": 0.34,
"learning_rate": 0.0007940000000000001,
"loss": 8.2026,
"step": 400
},
{
"epoch": 0.34,
"learning_rate": 0.000796,
"loss": 5.7139,
"step": 401
},
{
"epoch": 0.34,
"learning_rate": 0.0007980000000000001,
"loss": 5.5075,
"step": 402
},
{
"epoch": 0.34,
"learning_rate": 0.0008,
"loss": 5.4495,
"step": 403
},
{
"epoch": 0.34,
"learning_rate": 0.0008020000000000001,
"loss": 5.4492,
"step": 404
},
{
"epoch": 0.34,
"learning_rate": 0.000804,
"loss": 5.4174,
"step": 405
},
{
"epoch": 0.34,
"learning_rate": 0.0008060000000000001,
"loss": 5.1429,
"step": 406
},
{
"epoch": 0.34,
"learning_rate": 0.000808,
"loss": 5.228,
"step": 407
},
{
"epoch": 0.34,
"learning_rate": 0.0008100000000000001,
"loss": 5.9743,
"step": 408
},
{
"epoch": 0.34,
"learning_rate": 0.0008120000000000001,
"loss": 5.346,
"step": 409
},
{
"epoch": 0.34,
"learning_rate": 0.0008139999999999999,
"loss": 5.4215,
"step": 410
},
{
"epoch": 0.35,
"learning_rate": 0.000816,
"loss": 5.534,
"step": 411
},
{
"epoch": 0.35,
"learning_rate": 0.0008179999999999999,
"loss": 5.3026,
"step": 412
},
{
"epoch": 0.35,
"learning_rate": 0.00082,
"loss": 5.4964,
"step": 413
},
{
"epoch": 0.35,
"learning_rate": 0.0008219999999999999,
"loss": 5.0144,
"step": 414
},
{
"epoch": 0.35,
"learning_rate": 0.000824,
"loss": 5.3684,
"step": 415
},
{
"epoch": 0.35,
"learning_rate": 0.000826,
"loss": 5.6391,
"step": 416
},
{
"epoch": 0.35,
"learning_rate": 0.000828,
"loss": 4.9192,
"step": 417
},
{
"epoch": 0.35,
"learning_rate": 0.00083,
"loss": 5.2417,
"step": 418
},
{
"epoch": 0.35,
"learning_rate": 0.000832,
"loss": 5.269,
"step": 419
},
{
"epoch": 0.35,
"learning_rate": 0.000834,
"loss": 5.4544,
"step": 420
},
{
"epoch": 0.35,
"learning_rate": 0.0008359999999999999,
"loss": 5.6599,
"step": 421
},
{
"epoch": 0.35,
"learning_rate": 0.000838,
"loss": 5.1408,
"step": 422
},
{
"epoch": 0.36,
"learning_rate": 0.00084,
"loss": 5.0571,
"step": 423
},
{
"epoch": 0.36,
"learning_rate": 0.000842,
"loss": 5.0662,
"step": 424
},
{
"epoch": 0.36,
"learning_rate": 0.000844,
"loss": 5.7209,
"step": 425
},
{
"epoch": 0.36,
"learning_rate": 0.000846,
"loss": 4.9936,
"step": 426
},
{
"epoch": 0.36,
"learning_rate": 0.000848,
"loss": 5.0084,
"step": 427
},
{
"epoch": 0.36,
"learning_rate": 0.00085,
"loss": 5.3047,
"step": 428
},
{
"epoch": 0.36,
"learning_rate": 0.000852,
"loss": 5.954,
"step": 429
},
{
"epoch": 0.36,
"learning_rate": 0.000854,
"loss": 5.6528,
"step": 430
},
{
"epoch": 0.36,
"learning_rate": 0.000856,
"loss": 5.3661,
"step": 431
},
{
"epoch": 0.36,
"learning_rate": 0.000858,
"loss": 5.3309,
"step": 432
},
{
"epoch": 0.36,
"learning_rate": 0.00086,
"loss": 5.4359,
"step": 433
},
{
"epoch": 0.36,
"learning_rate": 0.000862,
"loss": 5.2456,
"step": 434
},
{
"epoch": 0.37,
"learning_rate": 0.000864,
"loss": 5.368,
"step": 435
},
{
"epoch": 0.37,
"learning_rate": 0.000866,
"loss": 5.106,
"step": 436
},
{
"epoch": 0.37,
"learning_rate": 0.0008680000000000001,
"loss": 5.0062,
"step": 437
},
{
"epoch": 0.37,
"learning_rate": 0.00087,
"loss": 5.0479,
"step": 438
},
{
"epoch": 0.37,
"learning_rate": 0.000872,
"loss": 5.4351,
"step": 439
},
{
"epoch": 0.37,
"learning_rate": 0.000874,
"loss": 5.094,
"step": 440
},
{
"epoch": 0.37,
"learning_rate": 0.000876,
"loss": 5.372,
"step": 441
},
{
"epoch": 0.37,
"learning_rate": 0.000878,
"loss": 5.2698,
"step": 442
},
{
"epoch": 0.37,
"learning_rate": 0.00088,
"loss": 5.1859,
"step": 443
},
{
"epoch": 0.37,
"learning_rate": 0.000882,
"loss": 5.2186,
"step": 444
},
{
"epoch": 0.37,
"learning_rate": 0.000884,
"loss": 4.9551,
"step": 445
},
{
"epoch": 0.37,
"learning_rate": 0.0008860000000000001,
"loss": 5.2439,
"step": 446
},
{
"epoch": 0.38,
"learning_rate": 0.000888,
"loss": 8.0543,
"step": 447
},
{
"epoch": 0.38,
"learning_rate": 0.0008900000000000001,
"loss": 5.4051,
"step": 448
},
{
"epoch": 0.38,
"learning_rate": 0.000892,
"loss": 5.519,
"step": 449
},
{
"epoch": 0.38,
"learning_rate": 0.000894,
"loss": 5.5713,
"step": 450
},
{
"epoch": 0.38,
"learning_rate": 0.000896,
"loss": 5.3046,
"step": 451
},
{
"epoch": 0.38,
"learning_rate": 0.000898,
"loss": 5.1503,
"step": 452
},
{
"epoch": 0.38,
"learning_rate": 0.0009000000000000001,
"loss": 5.2802,
"step": 453
},
{
"epoch": 0.38,
"learning_rate": 0.000902,
"loss": 5.415,
"step": 454
},
{
"epoch": 0.38,
"learning_rate": 0.0009040000000000001,
"loss": 6.009,
"step": 455
},
{
"epoch": 0.38,
"learning_rate": 0.000906,
"loss": 5.8562,
"step": 456
},
{
"epoch": 0.38,
"learning_rate": 0.0009080000000000001,
"loss": 5.4349,
"step": 457
},
{
"epoch": 0.39,
"learning_rate": 0.00091,
"loss": 7.5475,
"step": 458
},
{
"epoch": 0.39,
"learning_rate": 0.000912,
"loss": 5.4009,
"step": 459
},
{
"epoch": 0.39,
"learning_rate": 0.0009140000000000001,
"loss": 5.4328,
"step": 460
},
{
"epoch": 0.39,
"learning_rate": 0.000916,
"loss": 5.5625,
"step": 461
},
{
"epoch": 0.39,
"learning_rate": 0.0009180000000000001,
"loss": 5.3081,
"step": 462
},
{
"epoch": 0.39,
"learning_rate": 0.00092,
"loss": 5.2885,
"step": 463
},
{
"epoch": 0.39,
"learning_rate": 0.0009220000000000001,
"loss": 5.7384,
"step": 464
},
{
"epoch": 0.39,
"learning_rate": 0.000924,
"loss": 5.3471,
"step": 465
},
{
"epoch": 0.39,
"learning_rate": 0.0009260000000000001,
"loss": 5.5417,
"step": 466
},
{
"epoch": 0.39,
"learning_rate": 0.0009280000000000001,
"loss": 5.2314,
"step": 467
},
{
"epoch": 0.39,
"learning_rate": 0.00093,
"loss": 5.2603,
"step": 468
},
{
"epoch": 0.39,
"learning_rate": 0.0009320000000000001,
"loss": 5.1603,
"step": 469
},
{
"epoch": 0.4,
"learning_rate": 0.000934,
"loss": 5.4647,
"step": 470
},
{
"epoch": 0.4,
"learning_rate": 0.0009360000000000001,
"loss": 5.2128,
"step": 471
},
{
"epoch": 0.4,
"learning_rate": 0.0009379999999999999,
"loss": 5.3251,
"step": 472
},
{
"epoch": 0.4,
"learning_rate": 0.00094,
"loss": 5.2272,
"step": 473
},
{
"epoch": 0.4,
"learning_rate": 0.000942,
"loss": 5.37,
"step": 474
},
{
"epoch": 0.4,
"learning_rate": 0.000944,
"loss": 5.7458,
"step": 475
},
{
"epoch": 0.4,
"learning_rate": 0.000946,
"loss": 6.0803,
"step": 476
},
{
"epoch": 0.4,
"learning_rate": 0.000948,
"loss": 5.0569,
"step": 477
},
{
"epoch": 0.4,
"learning_rate": 0.00095,
"loss": 5.4589,
"step": 478
},
{
"epoch": 0.4,
"learning_rate": 0.0009519999999999999,
"loss": 5.1716,
"step": 479
},
{
"epoch": 0.4,
"learning_rate": 0.000954,
"loss": 5.4422,
"step": 480
},
{
"epoch": 0.4,
"learning_rate": 0.0009559999999999999,
"loss": 5.0668,
"step": 481
},
{
"epoch": 0.41,
"learning_rate": 0.000958,
"loss": 5.2654,
"step": 482
},
{
"epoch": 0.41,
"learning_rate": 0.00096,
"loss": 6.7736,
"step": 483
},
{
"epoch": 0.41,
"learning_rate": 0.000962,
"loss": 5.7394,
"step": 484
},
{
"epoch": 0.41,
"learning_rate": 0.000964,
"loss": 5.4959,
"step": 485
},
{
"epoch": 0.41,
"learning_rate": 0.000966,
"loss": 5.5867,
"step": 486
},
{
"epoch": 0.41,
"learning_rate": 0.000968,
"loss": 5.2123,
"step": 487
},
{
"epoch": 0.41,
"learning_rate": 0.0009699999999999999,
"loss": 5.4199,
"step": 488
},
{
"epoch": 0.41,
"learning_rate": 0.000972,
"loss": 5.8817,
"step": 489
},
{
"epoch": 0.41,
"learning_rate": 0.000974,
"loss": 5.1656,
"step": 490
},
{
"epoch": 0.41,
"learning_rate": 0.000976,
"loss": 5.7833,
"step": 491
},
{
"epoch": 0.41,
"learning_rate": 0.000978,
"loss": 5.7503,
"step": 492
},
{
"epoch": 0.41,
"learning_rate": 0.00098,
"loss": 6.3054,
"step": 493
},
{
"epoch": 0.42,
"learning_rate": 0.000982,
"loss": 6.0516,
"step": 494
},
{
"epoch": 0.42,
"learning_rate": 0.000984,
"loss": 6.7448,
"step": 495
},
{
"epoch": 0.42,
"learning_rate": 0.0009860000000000001,
"loss": 5.8998,
"step": 496
},
{
"epoch": 0.42,
"learning_rate": 0.000988,
"loss": 5.523,
"step": 497
},
{
"epoch": 0.42,
"learning_rate": 0.00099,
"loss": 5.4295,
"step": 498
},
{
"epoch": 0.42,
"learning_rate": 0.000992,
"loss": 5.2345,
"step": 499
},
{
"epoch": 0.42,
"learning_rate": 0.000994,
"loss": 5.6082,
"step": 500
},
{
"epoch": 0.42,
"eval_loss": 5.971189498901367,
"eval_runtime": 772.5606,
"eval_samples_per_second": 3.42,
"eval_steps_per_second": 0.286,
"eval_wer": 1.9655890519635066,
"step": 500
},
{
"epoch": 0.42,
"learning_rate": 0.000996,
"loss": 6.0055,
"step": 501
},
{
"epoch": 0.42,
"learning_rate": 0.000998,
"loss": 5.5965,
"step": 502
},
{
"epoch": 0.42,
"learning_rate": 0.001,
"loss": 5.4823,
"step": 503
},
{
"epoch": 0.42,
"learning_rate": 0.0009985486211901307,
"loss": 5.3086,
"step": 504
},
{
"epoch": 0.42,
"learning_rate": 0.0009970972423802612,
"loss": 5.3724,
"step": 505
},
{
"epoch": 0.43,
"learning_rate": 0.000995645863570392,
"loss": 5.6485,
"step": 506
},
{
"epoch": 0.43,
"learning_rate": 0.0009941944847605226,
"loss": 5.4129,
"step": 507
},
{
"epoch": 0.43,
"learning_rate": 0.0009927431059506531,
"loss": 5.3835,
"step": 508
},
{
"epoch": 0.43,
"learning_rate": 0.0009912917271407838,
"loss": 5.3629,
"step": 509
},
{
"epoch": 0.43,
"learning_rate": 0.0009898403483309143,
"loss": 5.6084,
"step": 510
},
{
"epoch": 0.43,
"learning_rate": 0.000988388969521045,
"loss": 5.522,
"step": 511
},
{
"epoch": 0.43,
"learning_rate": 0.0009869375907111755,
"loss": 5.1979,
"step": 512
},
{
"epoch": 0.43,
"learning_rate": 0.0009854862119013062,
"loss": 5.5267,
"step": 513
},
{
"epoch": 0.43,
"learning_rate": 0.000984034833091437,
"loss": 5.0734,
"step": 514
},
{
"epoch": 0.43,
"learning_rate": 0.0009825834542815674,
"loss": 5.1902,
"step": 515
},
{
"epoch": 0.43,
"learning_rate": 0.0009811320754716981,
"loss": 5.2944,
"step": 516
},
{
"epoch": 0.43,
"learning_rate": 0.0009796806966618288,
"loss": 5.5136,
"step": 517
},
{
"epoch": 0.44,
"learning_rate": 0.0009782293178519593,
"loss": 5.4618,
"step": 518
},
{
"epoch": 0.44,
"learning_rate": 0.00097677793904209,
"loss": 5.7373,
"step": 519
},
{
"epoch": 0.44,
"learning_rate": 0.0009753265602322206,
"loss": 5.0968,
"step": 520
},
{
"epoch": 0.44,
"learning_rate": 0.0009738751814223512,
"loss": 5.3119,
"step": 521
},
{
"epoch": 0.44,
"learning_rate": 0.0009724238026124818,
"loss": 5.2911,
"step": 522
},
{
"epoch": 0.44,
"learning_rate": 0.0009709724238026125,
"loss": 6.3803,
"step": 523
},
{
"epoch": 0.44,
"learning_rate": 0.000969521044992743,
"loss": 5.6489,
"step": 524
},
{
"epoch": 0.44,
"learning_rate": 0.0009680696661828737,
"loss": 5.6184,
"step": 525
},
{
"epoch": 0.44,
"learning_rate": 0.0009666182873730044,
"loss": 5.0753,
"step": 526
},
{
"epoch": 0.44,
"learning_rate": 0.000965166908563135,
"loss": 5.3418,
"step": 527
},
{
"epoch": 0.44,
"learning_rate": 0.0009637155297532656,
"loss": 5.7998,
"step": 528
},
{
"epoch": 0.44,
"learning_rate": 0.0009622641509433962,
"loss": 5.3236,
"step": 529
},
{
"epoch": 0.45,
"learning_rate": 0.0009608127721335269,
"loss": 5.3762,
"step": 530
},
{
"epoch": 0.45,
"learning_rate": 0.0009593613933236574,
"loss": 5.4276,
"step": 531
},
{
"epoch": 0.45,
"learning_rate": 0.0009579100145137881,
"loss": 5.3769,
"step": 532
},
{
"epoch": 0.45,
"learning_rate": 0.0009564586357039187,
"loss": 5.2204,
"step": 533
},
{
"epoch": 0.45,
"learning_rate": 0.0009550072568940493,
"loss": 5.3234,
"step": 534
},
{
"epoch": 0.45,
"learning_rate": 0.0009535558780841799,
"loss": 5.2219,
"step": 535
},
{
"epoch": 0.45,
"learning_rate": 0.0009521044992743106,
"loss": 5.2035,
"step": 536
},
{
"epoch": 0.45,
"learning_rate": 0.0009506531204644411,
"loss": 5.6239,
"step": 537
},
{
"epoch": 0.45,
"learning_rate": 0.0009492017416545718,
"loss": 5.3629,
"step": 538
},
{
"epoch": 0.45,
"learning_rate": 0.0009477503628447026,
"loss": 5.3972,
"step": 539
},
{
"epoch": 0.45,
"learning_rate": 0.0009462989840348331,
"loss": 5.709,
"step": 540
},
{
"epoch": 0.45,
"learning_rate": 0.0009448476052249637,
"loss": 5.5734,
"step": 541
},
{
"epoch": 0.46,
"learning_rate": 0.0009433962264150943,
"loss": 5.5395,
"step": 542
},
{
"epoch": 0.46,
"learning_rate": 0.000941944847605225,
"loss": 5.1856,
"step": 543
},
{
"epoch": 0.46,
"learning_rate": 0.0009404934687953555,
"loss": 5.4564,
"step": 544
},
{
"epoch": 0.46,
"learning_rate": 0.0009390420899854863,
"loss": 5.4666,
"step": 545
},
{
"epoch": 0.46,
"learning_rate": 0.0009375907111756169,
"loss": 5.2829,
"step": 546
},
{
"epoch": 0.46,
"learning_rate": 0.0009361393323657474,
"loss": 5.8558,
"step": 547
},
{
"epoch": 0.46,
"learning_rate": 0.000934687953555878,
"loss": 7.3071,
"step": 548
},
{
"epoch": 0.46,
"learning_rate": 0.0009332365747460088,
"loss": 5.4414,
"step": 549
},
{
"epoch": 0.46,
"learning_rate": 0.0009317851959361394,
"loss": 6.2957,
"step": 550
},
{
"epoch": 0.46,
"learning_rate": 0.00093033381712627,
"loss": 5.7204,
"step": 551
},
{
"epoch": 0.46,
"learning_rate": 0.0009288824383164007,
"loss": 5.3751,
"step": 552
},
{
"epoch": 0.46,
"learning_rate": 0.0009274310595065311,
"loss": 5.6019,
"step": 553
},
{
"epoch": 0.47,
"learning_rate": 0.0009259796806966619,
"loss": 5.397,
"step": 554
},
{
"epoch": 0.47,
"learning_rate": 0.0009245283018867925,
"loss": 5.7751,
"step": 555
},
{
"epoch": 0.47,
"learning_rate": 0.0009230769230769232,
"loss": 5.6476,
"step": 556
},
{
"epoch": 0.47,
"learning_rate": 0.0009216255442670537,
"loss": 5.2722,
"step": 557
},
{
"epoch": 0.47,
"learning_rate": 0.0009201741654571844,
"loss": 5.7729,
"step": 558
},
{
"epoch": 0.47,
"learning_rate": 0.000918722786647315,
"loss": 5.6173,
"step": 559
},
{
"epoch": 0.47,
"learning_rate": 0.0009172714078374456,
"loss": 5.51,
"step": 560
},
{
"epoch": 0.47,
"learning_rate": 0.0009158200290275763,
"loss": 5.3482,
"step": 561
},
{
"epoch": 0.47,
"learning_rate": 0.0009143686502177069,
"loss": 5.4823,
"step": 562
},
{
"epoch": 0.47,
"learning_rate": 0.0009129172714078375,
"loss": 6.2471,
"step": 563
},
{
"epoch": 0.47,
"learning_rate": 0.0009114658925979681,
"loss": 4.9672,
"step": 564
},
{
"epoch": 0.47,
"learning_rate": 0.0009100145137880988,
"loss": 5.2456,
"step": 565
},
{
"epoch": 0.48,
"learning_rate": 0.0009085631349782293,
"loss": 5.1968,
"step": 566
},
{
"epoch": 0.48,
"learning_rate": 0.00090711175616836,
"loss": 5.5594,
"step": 567
},
{
"epoch": 0.48,
"learning_rate": 0.0009056603773584906,
"loss": 5.7127,
"step": 568
},
{
"epoch": 0.48,
"learning_rate": 0.0009042089985486213,
"loss": 5.1732,
"step": 569
},
{
"epoch": 0.48,
"learning_rate": 0.0009027576197387518,
"loss": 5.2284,
"step": 570
},
{
"epoch": 0.48,
"learning_rate": 0.0009013062409288825,
"loss": 5.4143,
"step": 571
},
{
"epoch": 0.48,
"learning_rate": 0.0008998548621190132,
"loss": 5.3897,
"step": 572
},
{
"epoch": 0.48,
"learning_rate": 0.0008984034833091437,
"loss": 5.3026,
"step": 573
},
{
"epoch": 0.48,
"learning_rate": 0.0008969521044992744,
"loss": 5.3856,
"step": 574
},
{
"epoch": 0.48,
"learning_rate": 0.000895500725689405,
"loss": 5.4547,
"step": 575
},
{
"epoch": 0.48,
"learning_rate": 0.0008940493468795356,
"loss": 5.4656,
"step": 576
},
{
"epoch": 0.49,
"learning_rate": 0.0008925979680696662,
"loss": 5.5619,
"step": 577
},
{
"epoch": 0.49,
"learning_rate": 0.0008911465892597969,
"loss": 5.1546,
"step": 578
},
{
"epoch": 0.49,
"learning_rate": 0.0008896952104499274,
"loss": 5.3612,
"step": 579
},
{
"epoch": 0.49,
"learning_rate": 0.0008882438316400581,
"loss": 5.4632,
"step": 580
},
{
"epoch": 0.49,
"learning_rate": 0.0008867924528301887,
"loss": 5.452,
"step": 581
},
{
"epoch": 0.49,
"learning_rate": 0.0008853410740203193,
"loss": 5.2672,
"step": 582
},
{
"epoch": 0.49,
"learning_rate": 0.00088388969521045,
"loss": 5.3376,
"step": 583
},
{
"epoch": 0.49,
"learning_rate": 0.0008824383164005806,
"loss": 5.2473,
"step": 584
},
{
"epoch": 0.49,
"learning_rate": 0.0008809869375907113,
"loss": 5.5358,
"step": 585
},
{
"epoch": 0.49,
"learning_rate": 0.0008795355587808418,
"loss": 5.5731,
"step": 586
},
{
"epoch": 0.49,
"learning_rate": 0.0008780841799709725,
"loss": 5.5165,
"step": 587
},
{
"epoch": 0.49,
"learning_rate": 0.0008766328011611031,
"loss": 5.4301,
"step": 588
},
{
"epoch": 0.5,
"learning_rate": 0.0008751814223512337,
"loss": 5.4791,
"step": 589
},
{
"epoch": 0.5,
"learning_rate": 0.0008737300435413643,
"loss": 5.4197,
"step": 590
},
{
"epoch": 0.5,
"learning_rate": 0.000872278664731495,
"loss": 5.2328,
"step": 591
},
{
"epoch": 0.5,
"learning_rate": 0.0008708272859216255,
"loss": 5.0995,
"step": 592
},
{
"epoch": 0.5,
"learning_rate": 0.0008693759071117562,
"loss": 5.7272,
"step": 593
},
{
"epoch": 0.5,
"learning_rate": 0.0008679245283018869,
"loss": 5.3319,
"step": 594
},
{
"epoch": 0.5,
"learning_rate": 0.0008664731494920174,
"loss": 5.0899,
"step": 595
},
{
"epoch": 0.5,
"learning_rate": 0.0008650217706821481,
"loss": 5.0355,
"step": 596
},
{
"epoch": 0.5,
"learning_rate": 0.0008635703918722787,
"loss": 5.2191,
"step": 597
},
{
"epoch": 0.5,
"learning_rate": 0.0008621190130624093,
"loss": 6.9456,
"step": 598
},
{
"epoch": 0.5,
"learning_rate": 0.0008606676342525399,
"loss": 5.5227,
"step": 599
},
{
"epoch": 0.5,
"learning_rate": 0.0008592162554426706,
"loss": 6.2959,
"step": 600
},
{
"epoch": 0.51,
"learning_rate": 0.0008577648766328012,
"loss": 5.3511,
"step": 601
},
{
"epoch": 0.51,
"learning_rate": 0.0008563134978229318,
"loss": 5.6864,
"step": 602
},
{
"epoch": 0.51,
"learning_rate": 0.0008548621190130624,
"loss": 5.564,
"step": 603
},
{
"epoch": 0.51,
"learning_rate": 0.0008534107402031931,
"loss": 5.2273,
"step": 604
},
{
"epoch": 0.51,
"learning_rate": 0.0008519593613933237,
"loss": 5.4808,
"step": 605
},
{
"epoch": 0.51,
"learning_rate": 0.0008505079825834543,
"loss": 5.5164,
"step": 606
},
{
"epoch": 0.51,
"learning_rate": 0.000849056603773585,
"loss": 5.3247,
"step": 607
},
{
"epoch": 0.51,
"learning_rate": 0.0008476052249637155,
"loss": 5.4717,
"step": 608
},
{
"epoch": 0.51,
"learning_rate": 0.0008461538461538462,
"loss": 5.2743,
"step": 609
},
{
"epoch": 0.51,
"learning_rate": 0.0008447024673439768,
"loss": 5.3684,
"step": 610
},
{
"epoch": 0.51,
"learning_rate": 0.0008432510885341074,
"loss": 5.5687,
"step": 611
},
{
"epoch": 0.51,
"learning_rate": 0.000841799709724238,
"loss": 5.1055,
"step": 612
},
{
"epoch": 0.52,
"learning_rate": 0.0008403483309143687,
"loss": 5.9791,
"step": 613
},
{
"epoch": 0.52,
"learning_rate": 0.0008388969521044993,
"loss": 5.0076,
"step": 614
},
{
"epoch": 0.52,
"learning_rate": 0.0008374455732946299,
"loss": 5.1948,
"step": 615
},
{
"epoch": 0.52,
"learning_rate": 0.0008359941944847606,
"loss": 5.2781,
"step": 616
},
{
"epoch": 0.52,
"learning_rate": 0.0008345428156748912,
"loss": 5.2203,
"step": 617
},
{
"epoch": 0.52,
"learning_rate": 0.0008330914368650218,
"loss": 7.2738,
"step": 618
},
{
"epoch": 0.52,
"learning_rate": 0.0008316400580551524,
"loss": 5.4513,
"step": 619
},
{
"epoch": 0.52,
"learning_rate": 0.0008301886792452831,
"loss": 5.383,
"step": 620
},
{
"epoch": 0.52,
"learning_rate": 0.0008287373004354136,
"loss": 5.0347,
"step": 621
},
{
"epoch": 0.52,
"learning_rate": 0.0008272859216255443,
"loss": 5.0027,
"step": 622
},
{
"epoch": 0.52,
"learning_rate": 0.0008258345428156749,
"loss": 5.8913,
"step": 623
},
{
"epoch": 0.52,
"learning_rate": 0.0008243831640058055,
"loss": 5.4649,
"step": 624
},
{
"epoch": 0.53,
"learning_rate": 0.0008229317851959361,
"loss": 5.7076,
"step": 625
},
{
"epoch": 0.53,
"learning_rate": 0.0008214804063860668,
"loss": 5.7467,
"step": 626
},
{
"epoch": 0.53,
"learning_rate": 0.0008200290275761973,
"loss": 5.3819,
"step": 627
},
{
"epoch": 0.53,
"learning_rate": 0.000818577648766328,
"loss": 4.9549,
"step": 628
},
{
"epoch": 0.53,
"learning_rate": 0.0008171262699564587,
"loss": 5.2382,
"step": 629
},
{
"epoch": 0.53,
"learning_rate": 0.0008156748911465893,
"loss": 5.5093,
"step": 630
},
{
"epoch": 0.53,
"learning_rate": 0.0008142235123367199,
"loss": 5.3199,
"step": 631
},
{
"epoch": 0.53,
"learning_rate": 0.0008127721335268505,
"loss": 5.271,
"step": 632
},
{
"epoch": 0.53,
"learning_rate": 0.0008113207547169812,
"loss": 5.7689,
"step": 633
},
{
"epoch": 0.53,
"learning_rate": 0.0008098693759071117,
"loss": 5.1918,
"step": 634
},
{
"epoch": 0.53,
"learning_rate": 0.0008084179970972424,
"loss": 5.5693,
"step": 635
},
{
"epoch": 0.53,
"learning_rate": 0.000806966618287373,
"loss": 5.2135,
"step": 636
},
{
"epoch": 0.54,
"learning_rate": 0.0008055152394775036,
"loss": 4.9668,
"step": 637
},
{
"epoch": 0.54,
"learning_rate": 0.0008040638606676342,
"loss": 5.0565,
"step": 638
},
{
"epoch": 0.54,
"learning_rate": 0.0008026124818577649,
"loss": 5.2087,
"step": 639
},
{
"epoch": 0.54,
"learning_rate": 0.0008011611030478955,
"loss": 5.3371,
"step": 640
},
{
"epoch": 0.54,
"learning_rate": 0.0007997097242380261,
"loss": 5.1342,
"step": 641
},
{
"epoch": 0.54,
"learning_rate": 0.0007982583454281568,
"loss": 5.8708,
"step": 642
},
{
"epoch": 0.54,
"learning_rate": 0.0007968069666182874,
"loss": 5.8123,
"step": 643
},
{
"epoch": 0.54,
"learning_rate": 0.000795355587808418,
"loss": 5.3119,
"step": 644
},
{
"epoch": 0.54,
"learning_rate": 0.0007939042089985486,
"loss": 5.3256,
"step": 645
},
{
"epoch": 0.54,
"learning_rate": 0.0007924528301886793,
"loss": 5.4008,
"step": 646
},
{
"epoch": 0.54,
"learning_rate": 0.0007910014513788098,
"loss": 4.8679,
"step": 647
},
{
"epoch": 0.54,
"learning_rate": 0.0007895500725689405,
"loss": 6.0724,
"step": 648
},
{
"epoch": 0.55,
"learning_rate": 0.0007880986937590711,
"loss": 5.5273,
"step": 649
},
{
"epoch": 0.55,
"learning_rate": 0.0007866473149492017,
"loss": 4.9108,
"step": 650
},
{
"epoch": 0.55,
"learning_rate": 0.0007851959361393324,
"loss": 5.6022,
"step": 651
},
{
"epoch": 0.55,
"learning_rate": 0.000783744557329463,
"loss": 5.1818,
"step": 652
},
{
"epoch": 0.55,
"learning_rate": 0.0007822931785195936,
"loss": 5.1802,
"step": 653
},
{
"epoch": 0.55,
"learning_rate": 0.0007808417997097242,
"loss": 5.4167,
"step": 654
},
{
"epoch": 0.55,
"learning_rate": 0.0007793904208998549,
"loss": 5.1972,
"step": 655
},
{
"epoch": 0.55,
"learning_rate": 0.0007779390420899854,
"loss": 5.0685,
"step": 656
},
{
"epoch": 0.55,
"learning_rate": 0.0007764876632801161,
"loss": 5.3508,
"step": 657
},
{
"epoch": 0.55,
"learning_rate": 0.0007750362844702467,
"loss": 5.5123,
"step": 658
},
{
"epoch": 0.55,
"learning_rate": 0.0007735849056603774,
"loss": 5.4158,
"step": 659
},
{
"epoch": 0.55,
"learning_rate": 0.0007721335268505079,
"loss": 5.2287,
"step": 660
},
{
"epoch": 0.56,
"learning_rate": 0.0007706821480406386,
"loss": 5.3385,
"step": 661
},
{
"epoch": 0.56,
"learning_rate": 0.0007692307692307693,
"loss": 5.1604,
"step": 662
},
{
"epoch": 0.56,
"learning_rate": 0.0007677793904208998,
"loss": 5.1538,
"step": 663
},
{
"epoch": 0.56,
"learning_rate": 0.0007663280116110305,
"loss": 5.1191,
"step": 664
},
{
"epoch": 0.56,
"learning_rate": 0.0007648766328011611,
"loss": 5.5619,
"step": 665
},
{
"epoch": 0.56,
"learning_rate": 0.0007634252539912917,
"loss": 5.298,
"step": 666
},
{
"epoch": 0.56,
"learning_rate": 0.0007619738751814223,
"loss": 5.2461,
"step": 667
},
{
"epoch": 0.56,
"learning_rate": 0.000760522496371553,
"loss": 5.0993,
"step": 668
},
{
"epoch": 0.56,
"learning_rate": 0.0007590711175616835,
"loss": 5.5692,
"step": 669
},
{
"epoch": 0.56,
"learning_rate": 0.0007576197387518142,
"loss": 5.6514,
"step": 670
},
{
"epoch": 0.56,
"learning_rate": 0.0007561683599419448,
"loss": 5.6489,
"step": 671
},
{
"epoch": 0.56,
"learning_rate": 0.0007547169811320755,
"loss": 5.1456,
"step": 672
},
{
"epoch": 0.57,
"learning_rate": 0.0007532656023222061,
"loss": 5.2761,
"step": 673
},
{
"epoch": 0.57,
"learning_rate": 0.0007518142235123367,
"loss": 5.1052,
"step": 674
},
{
"epoch": 0.57,
"learning_rate": 0.0007503628447024674,
"loss": 5.1917,
"step": 675
},
{
"epoch": 0.57,
"learning_rate": 0.0007489114658925979,
"loss": 5.0055,
"step": 676
},
{
"epoch": 0.57,
"learning_rate": 0.0007474600870827286,
"loss": 5.3781,
"step": 677
},
{
"epoch": 0.57,
"learning_rate": 0.0007460087082728592,
"loss": 5.3236,
"step": 678
},
{
"epoch": 0.57,
"learning_rate": 0.0007445573294629898,
"loss": 5.1835,
"step": 679
},
{
"epoch": 0.57,
"learning_rate": 0.0007431059506531204,
"loss": 5.3368,
"step": 680
},
{
"epoch": 0.57,
"learning_rate": 0.0007416545718432511,
"loss": 4.9094,
"step": 681
},
{
"epoch": 0.57,
"learning_rate": 0.0007402031930333816,
"loss": 4.8995,
"step": 682
},
{
"epoch": 0.57,
"learning_rate": 0.0007387518142235123,
"loss": 5.1664,
"step": 683
},
{
"epoch": 0.58,
"learning_rate": 0.000737300435413643,
"loss": 5.0402,
"step": 684
},
{
"epoch": 0.58,
"learning_rate": 0.0007358490566037735,
"loss": 5.5918,
"step": 685
},
{
"epoch": 0.58,
"learning_rate": 0.0007343976777939043,
"loss": 5.3654,
"step": 686
},
{
"epoch": 0.58,
"learning_rate": 0.0007329462989840348,
"loss": 5.1001,
"step": 687
},
{
"epoch": 0.58,
"learning_rate": 0.0007314949201741656,
"loss": 5.1216,
"step": 688
},
{
"epoch": 0.58,
"learning_rate": 0.000730043541364296,
"loss": 5.2851,
"step": 689
},
{
"epoch": 0.58,
"learning_rate": 0.0007285921625544268,
"loss": 5.2563,
"step": 690
},
{
"epoch": 0.58,
"learning_rate": 0.0007271407837445574,
"loss": 5.4761,
"step": 691
},
{
"epoch": 0.58,
"learning_rate": 0.000725689404934688,
"loss": 5.2268,
"step": 692
},
{
"epoch": 0.58,
"learning_rate": 0.0007242380261248185,
"loss": 5.3059,
"step": 693
},
{
"epoch": 0.58,
"learning_rate": 0.0007227866473149493,
"loss": 5.8417,
"step": 694
},
{
"epoch": 0.58,
"learning_rate": 0.0007213352685050797,
"loss": 5.3375,
"step": 695
},
{
"epoch": 0.59,
"learning_rate": 0.0007198838896952105,
"loss": 5.0948,
"step": 696
},
{
"epoch": 0.59,
"learning_rate": 0.0007184325108853412,
"loss": 5.3722,
"step": 697
},
{
"epoch": 0.59,
"learning_rate": 0.0007169811320754717,
"loss": 5.5119,
"step": 698
},
{
"epoch": 0.59,
"learning_rate": 0.0007155297532656024,
"loss": 4.9806,
"step": 699
},
{
"epoch": 0.59,
"learning_rate": 0.000714078374455733,
"loss": 5.9573,
"step": 700
},
{
"epoch": 0.59,
"learning_rate": 0.0007126269956458637,
"loss": 5.9752,
"step": 701
},
{
"epoch": 0.59,
"learning_rate": 0.0007111756168359942,
"loss": 4.982,
"step": 702
},
{
"epoch": 0.59,
"learning_rate": 0.0007097242380261249,
"loss": 5.3352,
"step": 703
},
{
"epoch": 0.59,
"learning_rate": 0.0007082728592162555,
"loss": 5.1336,
"step": 704
},
{
"epoch": 0.59,
"learning_rate": 0.0007068214804063861,
"loss": 5.1104,
"step": 705
},
{
"epoch": 0.59,
"learning_rate": 0.0007053701015965167,
"loss": 5.1668,
"step": 706
},
{
"epoch": 0.59,
"learning_rate": 0.0007039187227866474,
"loss": 5.2123,
"step": 707
},
{
"epoch": 0.6,
"learning_rate": 0.000702467343976778,
"loss": 5.4632,
"step": 708
},
{
"epoch": 0.6,
"learning_rate": 0.0007010159651669086,
"loss": 5.2234,
"step": 709
},
{
"epoch": 0.6,
"learning_rate": 0.0006995645863570393,
"loss": 6.1649,
"step": 710
},
{
"epoch": 0.6,
"learning_rate": 0.0006981132075471698,
"loss": 4.9586,
"step": 711
},
{
"epoch": 0.6,
"learning_rate": 0.0006966618287373005,
"loss": 5.3222,
"step": 712
},
{
"epoch": 0.6,
"learning_rate": 0.0006952104499274311,
"loss": 5.4812,
"step": 713
},
{
"epoch": 0.6,
"learning_rate": 0.0006937590711175617,
"loss": 5.0724,
"step": 714
},
{
"epoch": 0.6,
"learning_rate": 0.0006923076923076923,
"loss": 5.1864,
"step": 715
},
{
"epoch": 0.6,
"learning_rate": 0.000690856313497823,
"loss": 5.0248,
"step": 716
},
{
"epoch": 0.6,
"learning_rate": 0.0006894049346879536,
"loss": 5.0635,
"step": 717
},
{
"epoch": 0.6,
"learning_rate": 0.0006879535558780842,
"loss": 5.3964,
"step": 718
},
{
"epoch": 0.6,
"learning_rate": 0.0006865021770682149,
"loss": 5.0607,
"step": 719
},
{
"epoch": 0.61,
"learning_rate": 0.0006850507982583455,
"loss": 5.0457,
"step": 720
},
{
"epoch": 0.61,
"learning_rate": 0.0006835994194484761,
"loss": 5.0219,
"step": 721
},
{
"epoch": 0.61,
"learning_rate": 0.0006821480406386067,
"loss": 4.9143,
"step": 722
},
{
"epoch": 0.61,
"learning_rate": 0.0006806966618287374,
"loss": 5.4245,
"step": 723
},
{
"epoch": 0.61,
"learning_rate": 0.0006792452830188679,
"loss": 4.8856,
"step": 724
},
{
"epoch": 0.61,
"learning_rate": 0.0006777939042089986,
"loss": 5.1959,
"step": 725
},
{
"epoch": 0.61,
"learning_rate": 0.0006763425253991292,
"loss": 5.9459,
"step": 726
},
{
"epoch": 0.61,
"learning_rate": 0.0006748911465892598,
"loss": 4.961,
"step": 727
},
{
"epoch": 0.61,
"learning_rate": 0.0006734397677793904,
"loss": 5.1239,
"step": 728
},
{
"epoch": 0.61,
"learning_rate": 0.0006719883889695211,
"loss": 4.8281,
"step": 729
},
{
"epoch": 0.61,
"learning_rate": 0.0006705370101596517,
"loss": 5.3037,
"step": 730
},
{
"epoch": 0.61,
"learning_rate": 0.0006690856313497823,
"loss": 5.4818,
"step": 731
},
{
"epoch": 0.62,
"learning_rate": 0.000667634252539913,
"loss": 5.378,
"step": 732
},
{
"epoch": 0.62,
"learning_rate": 0.0006661828737300436,
"loss": 4.9808,
"step": 733
},
{
"epoch": 0.62,
"learning_rate": 0.0006647314949201742,
"loss": 5.0709,
"step": 734
},
{
"epoch": 0.62,
"learning_rate": 0.0006632801161103048,
"loss": 5.2164,
"step": 735
},
{
"epoch": 0.62,
"learning_rate": 0.0006618287373004355,
"loss": 4.9492,
"step": 736
},
{
"epoch": 0.62,
"learning_rate": 0.000660377358490566,
"loss": 5.4681,
"step": 737
},
{
"epoch": 0.62,
"learning_rate": 0.0006589259796806967,
"loss": 5.511,
"step": 738
},
{
"epoch": 0.62,
"learning_rate": 0.0006574746008708273,
"loss": 5.1693,
"step": 739
},
{
"epoch": 0.62,
"learning_rate": 0.0006560232220609579,
"loss": 5.0552,
"step": 740
},
{
"epoch": 0.62,
"learning_rate": 0.0006545718432510886,
"loss": 5.2149,
"step": 741
},
{
"epoch": 0.62,
"learning_rate": 0.0006531204644412192,
"loss": 6.3403,
"step": 742
},
{
"epoch": 0.62,
"learning_rate": 0.0006516690856313498,
"loss": 5.3862,
"step": 743
},
{
"epoch": 0.63,
"learning_rate": 0.0006502177068214804,
"loss": 5.0721,
"step": 744
},
{
"epoch": 0.63,
"learning_rate": 0.0006487663280116111,
"loss": 5.5026,
"step": 745
},
{
"epoch": 0.63,
"learning_rate": 0.0006473149492017417,
"loss": 6.4226,
"step": 746
},
{
"epoch": 0.63,
"learning_rate": 0.0006458635703918723,
"loss": 5.3436,
"step": 747
},
{
"epoch": 0.63,
"learning_rate": 0.0006444121915820029,
"loss": 6.4222,
"step": 748
},
{
"epoch": 0.63,
"learning_rate": 0.0006429608127721336,
"loss": 6.0071,
"step": 749
},
{
"epoch": 0.63,
"learning_rate": 0.0006415094339622641,
"loss": 5.0389,
"step": 750
},
{
"epoch": 0.63,
"learning_rate": 0.0006400580551523948,
"loss": 5.3047,
"step": 751
},
{
"epoch": 0.63,
"learning_rate": 0.0006386066763425255,
"loss": 5.3622,
"step": 752
},
{
"epoch": 0.63,
"learning_rate": 0.000637155297532656,
"loss": 5.2451,
"step": 753
},
{
"epoch": 0.63,
"learning_rate": 0.0006357039187227867,
"loss": 4.9362,
"step": 754
},
{
"epoch": 0.63,
"learning_rate": 0.0006342525399129173,
"loss": 5.3065,
"step": 755
},
{
"epoch": 0.64,
"learning_rate": 0.0006328011611030479,
"loss": 5.0147,
"step": 756
},
{
"epoch": 0.64,
"learning_rate": 0.0006313497822931785,
"loss": 5.0598,
"step": 757
},
{
"epoch": 0.64,
"learning_rate": 0.0006298984034833092,
"loss": 5.2496,
"step": 758
},
{
"epoch": 0.64,
"learning_rate": 0.0006284470246734397,
"loss": 4.8978,
"step": 759
},
{
"epoch": 0.64,
"learning_rate": 0.0006269956458635704,
"loss": 5.4418,
"step": 760
},
{
"epoch": 0.64,
"learning_rate": 0.000625544267053701,
"loss": 4.8784,
"step": 761
},
{
"epoch": 0.64,
"learning_rate": 0.0006240928882438317,
"loss": 5.0095,
"step": 762
},
{
"epoch": 0.64,
"learning_rate": 0.0006226415094339623,
"loss": 5.0565,
"step": 763
},
{
"epoch": 0.64,
"learning_rate": 0.0006211901306240929,
"loss": 5.0263,
"step": 764
},
{
"epoch": 0.64,
"learning_rate": 0.0006197387518142236,
"loss": 5.1925,
"step": 765
},
{
"epoch": 0.64,
"learning_rate": 0.0006182873730043541,
"loss": 4.9813,
"step": 766
},
{
"epoch": 0.64,
"learning_rate": 0.0006168359941944848,
"loss": 5.2589,
"step": 767
},
{
"epoch": 0.65,
"learning_rate": 0.0006153846153846154,
"loss": 4.7593,
"step": 768
},
{
"epoch": 0.65,
"learning_rate": 0.000613933236574746,
"loss": 5.015,
"step": 769
},
{
"epoch": 0.65,
"learning_rate": 0.0006124818577648766,
"loss": 5.1436,
"step": 770
},
{
"epoch": 0.65,
"learning_rate": 0.0006110304789550073,
"loss": 5.149,
"step": 771
},
{
"epoch": 0.65,
"learning_rate": 0.0006095791001451378,
"loss": 5.1044,
"step": 772
},
{
"epoch": 0.65,
"learning_rate": 0.0006081277213352685,
"loss": 4.9833,
"step": 773
},
{
"epoch": 0.65,
"learning_rate": 0.0006066763425253992,
"loss": 5.2861,
"step": 774
},
{
"epoch": 0.65,
"learning_rate": 0.0006052249637155298,
"loss": 5.3884,
"step": 775
},
{
"epoch": 0.65,
"learning_rate": 0.0006037735849056604,
"loss": 4.8799,
"step": 776
},
{
"epoch": 0.65,
"learning_rate": 0.000602322206095791,
"loss": 5.0057,
"step": 777
},
{
"epoch": 0.65,
"learning_rate": 0.0006008708272859217,
"loss": 5.2477,
"step": 778
},
{
"epoch": 0.65,
"learning_rate": 0.0005994194484760522,
"loss": 5.1023,
"step": 779
},
{
"epoch": 0.66,
"learning_rate": 0.0005979680696661829,
"loss": 5.1842,
"step": 780
},
{
"epoch": 0.66,
"learning_rate": 0.0005965166908563135,
"loss": 5.0125,
"step": 781
},
{
"epoch": 0.66,
"learning_rate": 0.0005950653120464441,
"loss": 5.4608,
"step": 782
},
{
"epoch": 0.66,
"learning_rate": 0.0005936139332365747,
"loss": 4.9112,
"step": 783
},
{
"epoch": 0.66,
"learning_rate": 0.0005921625544267054,
"loss": 5.1474,
"step": 784
},
{
"epoch": 0.66,
"learning_rate": 0.0005907111756168359,
"loss": 5.1718,
"step": 785
},
{
"epoch": 0.66,
"learning_rate": 0.0005892597968069666,
"loss": 5.1529,
"step": 786
},
{
"epoch": 0.66,
"learning_rate": 0.0005878084179970973,
"loss": 5.2616,
"step": 787
},
{
"epoch": 0.66,
"learning_rate": 0.0005863570391872278,
"loss": 5.062,
"step": 788
},
{
"epoch": 0.66,
"learning_rate": 0.0005849056603773585,
"loss": 5.0368,
"step": 789
},
{
"epoch": 0.66,
"learning_rate": 0.0005834542815674891,
"loss": 5.0685,
"step": 790
},
{
"epoch": 0.66,
"learning_rate": 0.0005820029027576198,
"loss": 5.2184,
"step": 791
},
{
"epoch": 0.67,
"learning_rate": 0.0005805515239477503,
"loss": 5.2071,
"step": 792
},
{
"epoch": 0.67,
"learning_rate": 0.000579100145137881,
"loss": 5.3898,
"step": 793
},
{
"epoch": 0.67,
"learning_rate": 0.0005776487663280116,
"loss": 5.2976,
"step": 794
},
{
"epoch": 0.67,
"learning_rate": 0.0005761973875181422,
"loss": 5.167,
"step": 795
},
{
"epoch": 0.67,
"learning_rate": 0.0005747460087082728,
"loss": 5.3693,
"step": 796
},
{
"epoch": 0.67,
"learning_rate": 0.0005732946298984035,
"loss": 4.8185,
"step": 797
},
{
"epoch": 0.67,
"learning_rate": 0.0005718432510885341,
"loss": 5.3253,
"step": 798
},
{
"epoch": 0.67,
"learning_rate": 0.0005703918722786647,
"loss": 5.8208,
"step": 799
},
{
"epoch": 0.67,
"learning_rate": 0.0005689404934687954,
"loss": 4.9468,
"step": 800
},
{
"epoch": 0.67,
"learning_rate": 0.0005674891146589259,
"loss": 5.1776,
"step": 801
},
{
"epoch": 0.67,
"learning_rate": 0.0005660377358490566,
"loss": 4.9745,
"step": 802
},
{
"epoch": 0.68,
"learning_rate": 0.0005645863570391872,
"loss": 5.0746,
"step": 803
},
{
"epoch": 0.68,
"learning_rate": 0.0005631349782293179,
"loss": 5.2983,
"step": 804
},
{
"epoch": 0.68,
"learning_rate": 0.0005616835994194484,
"loss": 4.86,
"step": 805
},
{
"epoch": 0.68,
"learning_rate": 0.0005602322206095791,
"loss": 4.9945,
"step": 806
},
{
"epoch": 0.68,
"learning_rate": 0.0005587808417997097,
"loss": 6.0606,
"step": 807
},
{
"epoch": 0.68,
"learning_rate": 0.0005573294629898403,
"loss": 5.1517,
"step": 808
},
{
"epoch": 0.68,
"learning_rate": 0.000555878084179971,
"loss": 5.1314,
"step": 809
},
{
"epoch": 0.68,
"learning_rate": 0.0005544267053701016,
"loss": 5.1679,
"step": 810
},
{
"epoch": 0.68,
"learning_rate": 0.0005529753265602322,
"loss": 4.9893,
"step": 811
},
{
"epoch": 0.68,
"learning_rate": 0.0005515239477503628,
"loss": 5.6067,
"step": 812
},
{
"epoch": 0.68,
"learning_rate": 0.0005500725689404935,
"loss": 4.9295,
"step": 813
},
{
"epoch": 0.68,
"learning_rate": 0.000548621190130624,
"loss": 5.3404,
"step": 814
},
{
"epoch": 0.69,
"learning_rate": 0.0005471698113207547,
"loss": 5.0729,
"step": 815
},
{
"epoch": 0.69,
"learning_rate": 0.0005457184325108853,
"loss": 5.0503,
"step": 816
},
{
"epoch": 0.69,
"learning_rate": 0.0005442670537010159,
"loss": 5.0757,
"step": 817
},
{
"epoch": 0.69,
"learning_rate": 0.0005428156748911465,
"loss": 4.7697,
"step": 818
},
{
"epoch": 0.69,
"learning_rate": 0.0005413642960812772,
"loss": 4.819,
"step": 819
},
{
"epoch": 0.69,
"learning_rate": 0.000539912917271408,
"loss": 5.089,
"step": 820
},
{
"epoch": 0.69,
"learning_rate": 0.0005384615384615384,
"loss": 5.1247,
"step": 821
},
{
"epoch": 0.69,
"learning_rate": 0.0005370101596516691,
"loss": 4.8385,
"step": 822
},
{
"epoch": 0.69,
"learning_rate": 0.0005355587808417997,
"loss": 5.1001,
"step": 823
},
{
"epoch": 0.69,
"learning_rate": 0.0005341074020319303,
"loss": 5.4633,
"step": 824
},
{
"epoch": 0.69,
"learning_rate": 0.0005326560232220609,
"loss": 4.9786,
"step": 825
},
{
"epoch": 0.69,
"learning_rate": 0.0005312046444121916,
"loss": 5.1771,
"step": 826
},
{
"epoch": 0.7,
"learning_rate": 0.0005297532656023221,
"loss": 5.0881,
"step": 827
},
{
"epoch": 0.7,
"learning_rate": 0.0005283018867924528,
"loss": 5.0811,
"step": 828
},
{
"epoch": 0.7,
"learning_rate": 0.0005268505079825834,
"loss": 4.9207,
"step": 829
},
{
"epoch": 0.7,
"learning_rate": 0.000525399129172714,
"loss": 5.0726,
"step": 830
},
{
"epoch": 0.7,
"learning_rate": 0.0005239477503628448,
"loss": 5.1162,
"step": 831
},
{
"epoch": 0.7,
"learning_rate": 0.0005224963715529754,
"loss": 5.4175,
"step": 832
},
{
"epoch": 0.7,
"learning_rate": 0.0005210449927431061,
"loss": 5.0988,
"step": 833
},
{
"epoch": 0.7,
"learning_rate": 0.0005195936139332365,
"loss": 5.1395,
"step": 834
},
{
"epoch": 0.7,
"learning_rate": 0.0005181422351233673,
"loss": 5.0437,
"step": 835
},
{
"epoch": 0.7,
"learning_rate": 0.0005166908563134979,
"loss": 5.0964,
"step": 836
},
{
"epoch": 0.7,
"learning_rate": 0.0005152394775036285,
"loss": 5.0094,
"step": 837
},
{
"epoch": 0.7,
"learning_rate": 0.000513788098693759,
"loss": 4.5872,
"step": 838
},
{
"epoch": 0.71,
"learning_rate": 0.0005123367198838898,
"loss": 5.1621,
"step": 839
},
{
"epoch": 0.71,
"learning_rate": 0.0005108853410740202,
"loss": 5.2346,
"step": 840
},
{
"epoch": 0.71,
"learning_rate": 0.000509433962264151,
"loss": 5.0822,
"step": 841
},
{
"epoch": 0.71,
"learning_rate": 0.0005079825834542817,
"loss": 5.3804,
"step": 842
},
{
"epoch": 0.71,
"learning_rate": 0.0005065312046444122,
"loss": 5.6472,
"step": 843
},
{
"epoch": 0.71,
"learning_rate": 0.0005050798258345429,
"loss": 5.3193,
"step": 844
},
{
"epoch": 0.71,
"learning_rate": 0.0005036284470246735,
"loss": 4.9138,
"step": 845
},
{
"epoch": 0.71,
"learning_rate": 0.0005021770682148041,
"loss": 4.9016,
"step": 846
},
{
"epoch": 0.71,
"learning_rate": 0.0005007256894049347,
"loss": 6.7137,
"step": 847
},
{
"epoch": 0.71,
"learning_rate": 0.0004992743105950654,
"loss": 4.6902,
"step": 848
},
{
"epoch": 0.71,
"learning_rate": 0.000497822931785196,
"loss": 5.2458,
"step": 849
},
{
"epoch": 0.71,
"learning_rate": 0.0004963715529753266,
"loss": 5.153,
"step": 850
},
{
"epoch": 0.72,
"learning_rate": 0.0004949201741654572,
"loss": 5.5571,
"step": 851
},
{
"epoch": 0.72,
"learning_rate": 0.0004934687953555878,
"loss": 5.0553,
"step": 852
},
{
"epoch": 0.72,
"learning_rate": 0.0004920174165457185,
"loss": 5.0873,
"step": 853
},
{
"epoch": 0.72,
"learning_rate": 0.0004905660377358491,
"loss": 5.0853,
"step": 854
},
{
"epoch": 0.72,
"learning_rate": 0.0004891146589259797,
"loss": 5.098,
"step": 855
},
{
"epoch": 0.72,
"learning_rate": 0.0004876632801161103,
"loss": 5.0839,
"step": 856
},
{
"epoch": 0.72,
"learning_rate": 0.0004862119013062409,
"loss": 5.0078,
"step": 857
},
{
"epoch": 0.72,
"learning_rate": 0.0004847605224963715,
"loss": 4.7948,
"step": 858
},
{
"epoch": 0.72,
"learning_rate": 0.0004833091436865022,
"loss": 5.0643,
"step": 859
},
{
"epoch": 0.72,
"learning_rate": 0.0004818577648766328,
"loss": 5.1501,
"step": 860
},
{
"epoch": 0.72,
"learning_rate": 0.00048040638606676347,
"loss": 4.67,
"step": 861
},
{
"epoch": 0.72,
"learning_rate": 0.00047895500725689407,
"loss": 4.9893,
"step": 862
},
{
"epoch": 0.73,
"learning_rate": 0.00047750362844702467,
"loss": 4.9115,
"step": 863
},
{
"epoch": 0.73,
"learning_rate": 0.0004760522496371553,
"loss": 4.9451,
"step": 864
},
{
"epoch": 0.73,
"learning_rate": 0.0004746008708272859,
"loss": 4.9671,
"step": 865
},
{
"epoch": 0.73,
"learning_rate": 0.0004731494920174166,
"loss": 4.9126,
"step": 866
},
{
"epoch": 0.73,
"learning_rate": 0.0004716981132075472,
"loss": 4.7534,
"step": 867
},
{
"epoch": 0.73,
"learning_rate": 0.00047024673439767777,
"loss": 4.9833,
"step": 868
},
{
"epoch": 0.73,
"learning_rate": 0.0004687953555878084,
"loss": 5.1847,
"step": 869
},
{
"epoch": 0.73,
"learning_rate": 0.000467343976777939,
"loss": 4.5659,
"step": 870
},
{
"epoch": 0.73,
"learning_rate": 0.0004658925979680697,
"loss": 4.6605,
"step": 871
},
{
"epoch": 0.73,
"learning_rate": 0.00046444121915820033,
"loss": 4.7457,
"step": 872
},
{
"epoch": 0.73,
"learning_rate": 0.00046298984034833093,
"loss": 5.0637,
"step": 873
},
{
"epoch": 0.73,
"learning_rate": 0.0004615384615384616,
"loss": 4.951,
"step": 874
},
{
"epoch": 0.74,
"learning_rate": 0.0004600870827285922,
"loss": 4.9564,
"step": 875
},
{
"epoch": 0.74,
"learning_rate": 0.0004586357039187228,
"loss": 4.7754,
"step": 876
},
{
"epoch": 0.74,
"learning_rate": 0.00045718432510885343,
"loss": 4.7696,
"step": 877
},
{
"epoch": 0.74,
"learning_rate": 0.00045573294629898403,
"loss": 5.3184,
"step": 878
},
{
"epoch": 0.74,
"learning_rate": 0.00045428156748911463,
"loss": 4.9474,
"step": 879
},
{
"epoch": 0.74,
"learning_rate": 0.0004528301886792453,
"loss": 5.0461,
"step": 880
},
{
"epoch": 0.74,
"learning_rate": 0.0004513788098693759,
"loss": 4.7707,
"step": 881
},
{
"epoch": 0.74,
"learning_rate": 0.0004499274310595066,
"loss": 5.0858,
"step": 882
},
{
"epoch": 0.74,
"learning_rate": 0.0004484760522496372,
"loss": 4.939,
"step": 883
},
{
"epoch": 0.74,
"learning_rate": 0.0004470246734397678,
"loss": 4.9511,
"step": 884
},
{
"epoch": 0.74,
"learning_rate": 0.00044557329462989844,
"loss": 4.7977,
"step": 885
},
{
"epoch": 0.74,
"learning_rate": 0.00044412191582002904,
"loss": 5.0046,
"step": 886
},
{
"epoch": 0.75,
"learning_rate": 0.00044267053701015964,
"loss": 4.9981,
"step": 887
},
{
"epoch": 0.75,
"learning_rate": 0.0004412191582002903,
"loss": 4.8977,
"step": 888
},
{
"epoch": 0.75,
"learning_rate": 0.0004397677793904209,
"loss": 4.9723,
"step": 889
},
{
"epoch": 0.75,
"learning_rate": 0.00043831640058055154,
"loss": 5.2849,
"step": 890
},
{
"epoch": 0.75,
"learning_rate": 0.00043686502177068214,
"loss": 6.5805,
"step": 891
},
{
"epoch": 0.75,
"learning_rate": 0.00043541364296081274,
"loss": 4.8901,
"step": 892
},
{
"epoch": 0.75,
"learning_rate": 0.00043396226415094345,
"loss": 5.1268,
"step": 893
},
{
"epoch": 0.75,
"learning_rate": 0.00043251088534107404,
"loss": 5.0544,
"step": 894
},
{
"epoch": 0.75,
"learning_rate": 0.00043105950653120464,
"loss": 4.8594,
"step": 895
},
{
"epoch": 0.75,
"learning_rate": 0.0004296081277213353,
"loss": 5.0497,
"step": 896
},
{
"epoch": 0.75,
"learning_rate": 0.0004281567489114659,
"loss": 4.9975,
"step": 897
},
{
"epoch": 0.75,
"learning_rate": 0.00042670537010159655,
"loss": 4.9852,
"step": 898
},
{
"epoch": 0.76,
"learning_rate": 0.00042525399129172715,
"loss": 5.1585,
"step": 899
},
{
"epoch": 0.76,
"learning_rate": 0.00042380261248185774,
"loss": 4.8233,
"step": 900
},
{
"epoch": 0.76,
"learning_rate": 0.0004223512336719884,
"loss": 4.9715,
"step": 901
},
{
"epoch": 0.76,
"learning_rate": 0.000420899854862119,
"loss": 5.0533,
"step": 902
},
{
"epoch": 0.76,
"learning_rate": 0.00041944847605224965,
"loss": 5.0464,
"step": 903
},
{
"epoch": 0.76,
"learning_rate": 0.0004179970972423803,
"loss": 5.0582,
"step": 904
},
{
"epoch": 0.76,
"learning_rate": 0.0004165457184325109,
"loss": 4.9427,
"step": 905
},
{
"epoch": 0.76,
"learning_rate": 0.00041509433962264155,
"loss": 5.122,
"step": 906
},
{
"epoch": 0.76,
"learning_rate": 0.00041364296081277215,
"loss": 4.8487,
"step": 907
},
{
"epoch": 0.76,
"learning_rate": 0.00041219158200290275,
"loss": 5.4142,
"step": 908
},
{
"epoch": 0.76,
"learning_rate": 0.0004107402031930334,
"loss": 5.0128,
"step": 909
},
{
"epoch": 0.77,
"learning_rate": 0.000409288824383164,
"loss": 5.1977,
"step": 910
},
{
"epoch": 0.77,
"learning_rate": 0.00040783744557329466,
"loss": 5.0896,
"step": 911
},
{
"epoch": 0.77,
"learning_rate": 0.00040638606676342525,
"loss": 4.8231,
"step": 912
},
{
"epoch": 0.77,
"learning_rate": 0.00040493468795355585,
"loss": 4.9305,
"step": 913
},
{
"epoch": 0.77,
"learning_rate": 0.0004034833091436865,
"loss": 4.9777,
"step": 914
},
{
"epoch": 0.77,
"learning_rate": 0.0004020319303338171,
"loss": 5.1488,
"step": 915
},
{
"epoch": 0.77,
"learning_rate": 0.00040058055152394776,
"loss": 4.821,
"step": 916
},
{
"epoch": 0.77,
"learning_rate": 0.0003991291727140784,
"loss": 4.8961,
"step": 917
},
{
"epoch": 0.77,
"learning_rate": 0.000397677793904209,
"loss": 4.9929,
"step": 918
},
{
"epoch": 0.77,
"learning_rate": 0.00039622641509433966,
"loss": 5.1567,
"step": 919
},
{
"epoch": 0.77,
"learning_rate": 0.00039477503628447026,
"loss": 5.0701,
"step": 920
},
{
"epoch": 0.77,
"learning_rate": 0.00039332365747460086,
"loss": 4.827,
"step": 921
},
{
"epoch": 0.78,
"learning_rate": 0.0003918722786647315,
"loss": 5.2814,
"step": 922
},
{
"epoch": 0.78,
"learning_rate": 0.0003904208998548621,
"loss": 4.7432,
"step": 923
},
{
"epoch": 0.78,
"learning_rate": 0.0003889695210449927,
"loss": 4.9114,
"step": 924
},
{
"epoch": 0.78,
"learning_rate": 0.00038751814223512336,
"loss": 4.694,
"step": 925
},
{
"epoch": 0.78,
"learning_rate": 0.00038606676342525396,
"loss": 4.8725,
"step": 926
},
{
"epoch": 0.78,
"learning_rate": 0.00038461538461538467,
"loss": 5.5212,
"step": 927
},
{
"epoch": 0.78,
"learning_rate": 0.00038316400580551527,
"loss": 4.9127,
"step": 928
},
{
"epoch": 0.78,
"learning_rate": 0.00038171262699564587,
"loss": 4.7343,
"step": 929
},
{
"epoch": 0.78,
"learning_rate": 0.0003802612481857765,
"loss": 4.799,
"step": 930
},
{
"epoch": 0.78,
"learning_rate": 0.0003788098693759071,
"loss": 5.0624,
"step": 931
},
{
"epoch": 0.78,
"learning_rate": 0.00037735849056603777,
"loss": 5.5152,
"step": 932
},
{
"epoch": 0.78,
"learning_rate": 0.00037590711175616837,
"loss": 4.9362,
"step": 933
},
{
"epoch": 0.79,
"learning_rate": 0.00037445573294629897,
"loss": 4.8447,
"step": 934
},
{
"epoch": 0.79,
"learning_rate": 0.0003730043541364296,
"loss": 5.0213,
"step": 935
},
{
"epoch": 0.79,
"learning_rate": 0.0003715529753265602,
"loss": 4.9314,
"step": 936
},
{
"epoch": 0.79,
"learning_rate": 0.0003701015965166908,
"loss": 5.0127,
"step": 937
},
{
"epoch": 0.79,
"learning_rate": 0.0003686502177068215,
"loss": 5.0349,
"step": 938
},
{
"epoch": 0.79,
"learning_rate": 0.0003671988388969521,
"loss": 4.9583,
"step": 939
},
{
"epoch": 0.79,
"learning_rate": 0.0003657474600870828,
"loss": 4.9811,
"step": 940
},
{
"epoch": 0.79,
"learning_rate": 0.0003642960812772134,
"loss": 4.8891,
"step": 941
},
{
"epoch": 0.79,
"learning_rate": 0.000362844702467344,
"loss": 4.9644,
"step": 942
},
{
"epoch": 0.79,
"learning_rate": 0.00036139332365747463,
"loss": 4.5369,
"step": 943
},
{
"epoch": 0.79,
"learning_rate": 0.00035994194484760523,
"loss": 4.6659,
"step": 944
},
{
"epoch": 0.79,
"learning_rate": 0.0003584905660377358,
"loss": 5.2977,
"step": 945
},
{
"epoch": 0.8,
"learning_rate": 0.0003570391872278665,
"loss": 4.7141,
"step": 946
},
{
"epoch": 0.8,
"learning_rate": 0.0003555878084179971,
"loss": 4.8314,
"step": 947
},
{
"epoch": 0.8,
"learning_rate": 0.00035413642960812773,
"loss": 4.6193,
"step": 948
},
{
"epoch": 0.8,
"learning_rate": 0.00035268505079825833,
"loss": 4.8419,
"step": 949
},
{
"epoch": 0.8,
"learning_rate": 0.000351233671988389,
"loss": 4.8189,
"step": 950
},
{
"epoch": 0.8,
"learning_rate": 0.00034978229317851964,
"loss": 4.8661,
"step": 951
},
{
"epoch": 0.8,
"learning_rate": 0.00034833091436865023,
"loss": 5.1865,
"step": 952
},
{
"epoch": 0.8,
"learning_rate": 0.00034687953555878083,
"loss": 4.8,
"step": 953
},
{
"epoch": 0.8,
"learning_rate": 0.0003454281567489115,
"loss": 4.6069,
"step": 954
},
{
"epoch": 0.8,
"learning_rate": 0.0003439767779390421,
"loss": 5.0117,
"step": 955
},
{
"epoch": 0.8,
"learning_rate": 0.00034252539912917274,
"loss": 5.0603,
"step": 956
},
{
"epoch": 0.8,
"learning_rate": 0.00034107402031930334,
"loss": 5.0904,
"step": 957
},
{
"epoch": 0.81,
"learning_rate": 0.00033962264150943393,
"loss": 4.9147,
"step": 958
},
{
"epoch": 0.81,
"learning_rate": 0.0003381712626995646,
"loss": 5.0641,
"step": 959
},
{
"epoch": 0.81,
"learning_rate": 0.0003367198838896952,
"loss": 4.8329,
"step": 960
},
{
"epoch": 0.81,
"learning_rate": 0.00033526850507982584,
"loss": 4.7659,
"step": 961
},
{
"epoch": 0.81,
"learning_rate": 0.0003338171262699565,
"loss": 4.9337,
"step": 962
},
{
"epoch": 0.81,
"learning_rate": 0.0003323657474600871,
"loss": 4.6835,
"step": 963
},
{
"epoch": 0.81,
"learning_rate": 0.00033091436865021774,
"loss": 5.1411,
"step": 964
},
{
"epoch": 0.81,
"learning_rate": 0.00032946298984034834,
"loss": 4.9891,
"step": 965
},
{
"epoch": 0.81,
"learning_rate": 0.00032801161103047894,
"loss": 4.7431,
"step": 966
},
{
"epoch": 0.81,
"learning_rate": 0.0003265602322206096,
"loss": 5.0134,
"step": 967
},
{
"epoch": 0.81,
"learning_rate": 0.0003251088534107402,
"loss": 4.9053,
"step": 968
},
{
"epoch": 0.81,
"learning_rate": 0.00032365747460087085,
"loss": 4.6344,
"step": 969
},
{
"epoch": 0.82,
"learning_rate": 0.00032220609579100144,
"loss": 4.8781,
"step": 970
},
{
"epoch": 0.82,
"learning_rate": 0.00032075471698113204,
"loss": 4.7326,
"step": 971
},
{
"epoch": 0.82,
"learning_rate": 0.00031930333817126275,
"loss": 4.6855,
"step": 972
},
{
"epoch": 0.82,
"learning_rate": 0.00031785195936139335,
"loss": 4.9818,
"step": 973
},
{
"epoch": 0.82,
"learning_rate": 0.00031640058055152395,
"loss": 4.7883,
"step": 974
},
{
"epoch": 0.82,
"learning_rate": 0.0003149492017416546,
"loss": 4.9197,
"step": 975
},
{
"epoch": 0.82,
"learning_rate": 0.0003134978229317852,
"loss": 4.917,
"step": 976
},
{
"epoch": 0.82,
"learning_rate": 0.00031204644412191585,
"loss": 4.8078,
"step": 977
},
{
"epoch": 0.82,
"learning_rate": 0.00031059506531204645,
"loss": 4.7798,
"step": 978
},
{
"epoch": 0.82,
"learning_rate": 0.00030914368650217705,
"loss": 4.6256,
"step": 979
},
{
"epoch": 0.82,
"learning_rate": 0.0003076923076923077,
"loss": 4.9239,
"step": 980
},
{
"epoch": 0.82,
"learning_rate": 0.0003062409288824383,
"loss": 5.1256,
"step": 981
},
{
"epoch": 0.83,
"learning_rate": 0.0003047895500725689,
"loss": 5.2522,
"step": 982
},
{
"epoch": 0.83,
"learning_rate": 0.0003033381712626996,
"loss": 4.7731,
"step": 983
},
{
"epoch": 0.83,
"learning_rate": 0.0003018867924528302,
"loss": 4.9897,
"step": 984
},
{
"epoch": 0.83,
"learning_rate": 0.00030043541364296086,
"loss": 4.7127,
"step": 985
},
{
"epoch": 0.83,
"learning_rate": 0.00029898403483309146,
"loss": 4.8191,
"step": 986
},
{
"epoch": 0.83,
"learning_rate": 0.00029753265602322206,
"loss": 4.9202,
"step": 987
},
{
"epoch": 0.83,
"learning_rate": 0.0002960812772133527,
"loss": 4.8658,
"step": 988
},
{
"epoch": 0.83,
"learning_rate": 0.0002946298984034833,
"loss": 4.9547,
"step": 989
},
{
"epoch": 0.83,
"learning_rate": 0.0002931785195936139,
"loss": 4.7892,
"step": 990
},
{
"epoch": 0.83,
"learning_rate": 0.00029172714078374456,
"loss": 5.0276,
"step": 991
},
{
"epoch": 0.83,
"learning_rate": 0.00029027576197387516,
"loss": 4.7144,
"step": 992
},
{
"epoch": 0.83,
"learning_rate": 0.0002888243831640058,
"loss": 4.6585,
"step": 993
},
{
"epoch": 0.84,
"learning_rate": 0.0002873730043541364,
"loss": 4.8446,
"step": 994
},
{
"epoch": 0.84,
"learning_rate": 0.00028592162554426706,
"loss": 4.8927,
"step": 995
},
{
"epoch": 0.84,
"learning_rate": 0.0002844702467343977,
"loss": 5.8035,
"step": 996
},
{
"epoch": 0.84,
"learning_rate": 0.0002830188679245283,
"loss": 5.0722,
"step": 997
},
{
"epoch": 0.84,
"learning_rate": 0.00028156748911465897,
"loss": 4.7843,
"step": 998
},
{
"epoch": 0.84,
"learning_rate": 0.00028011611030478957,
"loss": 4.9298,
"step": 999
},
{
"epoch": 0.84,
"learning_rate": 0.00027866473149492017,
"loss": 5.0039,
"step": 1000
},
{
"epoch": 0.84,
"eval_loss": 5.048862457275391,
"eval_runtime": 760.3008,
"eval_samples_per_second": 3.475,
"eval_steps_per_second": 0.291,
"eval_wer": 1.9565251884172947,
"step": 1000
},
{
"epoch": 0.84,
"learning_rate": 0.0002772133526850508,
"loss": 4.8261,
"step": 1001
},
{
"epoch": 0.84,
"learning_rate": 0.0002757619738751814,
"loss": 4.7969,
"step": 1002
},
{
"epoch": 0.84,
"learning_rate": 0.000274310595065312,
"loss": 4.7738,
"step": 1003
},
{
"epoch": 0.84,
"learning_rate": 0.00027285921625544267,
"loss": 4.9683,
"step": 1004
},
{
"epoch": 0.84,
"learning_rate": 0.00027140783744557327,
"loss": 4.9032,
"step": 1005
},
{
"epoch": 0.85,
"learning_rate": 0.000269956458635704,
"loss": 4.8847,
"step": 1006
},
{
"epoch": 0.85,
"learning_rate": 0.0002685050798258346,
"loss": 4.7633,
"step": 1007
},
{
"epoch": 0.85,
"learning_rate": 0.00026705370101596517,
"loss": 4.7142,
"step": 1008
},
{
"epoch": 0.85,
"learning_rate": 0.0002656023222060958,
"loss": 4.8657,
"step": 1009
},
{
"epoch": 0.85,
"learning_rate": 0.0002641509433962264,
"loss": 4.7196,
"step": 1010
},
{
"epoch": 0.85,
"learning_rate": 0.000262699564586357,
"loss": 4.6712,
"step": 1011
},
{
"epoch": 0.85,
"learning_rate": 0.0002612481857764877,
"loss": 4.6983,
"step": 1012
},
{
"epoch": 0.85,
"learning_rate": 0.0002597968069666183,
"loss": 4.667,
"step": 1013
},
{
"epoch": 0.85,
"learning_rate": 0.0002583454281567489,
"loss": 4.659,
"step": 1014
},
{
"epoch": 0.85,
"learning_rate": 0.0002568940493468795,
"loss": 4.8124,
"step": 1015
},
{
"epoch": 0.85,
"learning_rate": 0.0002554426705370101,
"loss": 5.1725,
"step": 1016
},
{
"epoch": 0.85,
"learning_rate": 0.00025399129172714083,
"loss": 4.6304,
"step": 1017
},
{
"epoch": 0.86,
"learning_rate": 0.00025253991291727143,
"loss": 4.9142,
"step": 1018
},
{
"epoch": 0.86,
"learning_rate": 0.00025108853410740203,
"loss": 5.0531,
"step": 1019
},
{
"epoch": 0.86,
"learning_rate": 0.0002496371552975327,
"loss": 4.648,
"step": 1020
},
{
"epoch": 0.86,
"learning_rate": 0.0002481857764876633,
"loss": 4.8026,
"step": 1021
},
{
"epoch": 0.86,
"learning_rate": 0.0002467343976777939,
"loss": 4.9464,
"step": 1022
},
{
"epoch": 0.86,
"learning_rate": 0.00024528301886792453,
"loss": 5.1749,
"step": 1023
},
{
"epoch": 0.86,
"learning_rate": 0.00024383164005805516,
"loss": 4.6092,
"step": 1024
},
{
"epoch": 0.86,
"learning_rate": 0.00024238026124818576,
"loss": 4.744,
"step": 1025
},
{
"epoch": 0.86,
"learning_rate": 0.0002409288824383164,
"loss": 4.7657,
"step": 1026
},
{
"epoch": 0.86,
"learning_rate": 0.00023947750362844704,
"loss": 4.7509,
"step": 1027
},
{
"epoch": 0.86,
"learning_rate": 0.00023802612481857766,
"loss": 4.7388,
"step": 1028
},
{
"epoch": 0.87,
"learning_rate": 0.0002365747460087083,
"loss": 4.6644,
"step": 1029
},
{
"epoch": 0.87,
"learning_rate": 0.00023512336719883889,
"loss": 4.5836,
"step": 1030
},
{
"epoch": 0.87,
"learning_rate": 0.0002336719883889695,
"loss": 4.7619,
"step": 1031
},
{
"epoch": 0.87,
"learning_rate": 0.00023222060957910016,
"loss": 4.6205,
"step": 1032
},
{
"epoch": 0.87,
"learning_rate": 0.0002307692307692308,
"loss": 5.0488,
"step": 1033
},
{
"epoch": 0.87,
"learning_rate": 0.0002293178519593614,
"loss": 4.5679,
"step": 1034
},
{
"epoch": 0.87,
"learning_rate": 0.00022786647314949202,
"loss": 4.6562,
"step": 1035
},
{
"epoch": 0.87,
"learning_rate": 0.00022641509433962264,
"loss": 4.6732,
"step": 1036
},
{
"epoch": 0.87,
"learning_rate": 0.0002249637155297533,
"loss": 4.6644,
"step": 1037
},
{
"epoch": 0.87,
"learning_rate": 0.0002235123367198839,
"loss": 4.8933,
"step": 1038
},
{
"epoch": 0.87,
"learning_rate": 0.00022206095791001452,
"loss": 4.7343,
"step": 1039
},
{
"epoch": 0.87,
"learning_rate": 0.00022060957910014514,
"loss": 4.6194,
"step": 1040
},
{
"epoch": 0.88,
"learning_rate": 0.00021915820029027577,
"loss": 4.8073,
"step": 1041
},
{
"epoch": 0.88,
"learning_rate": 0.00021770682148040637,
"loss": 5.0539,
"step": 1042
},
{
"epoch": 0.88,
"learning_rate": 0.00021625544267053702,
"loss": 4.7011,
"step": 1043
},
{
"epoch": 0.88,
"learning_rate": 0.00021480406386066765,
"loss": 4.8361,
"step": 1044
},
{
"epoch": 0.88,
"learning_rate": 0.00021335268505079827,
"loss": 5.0069,
"step": 1045
},
{
"epoch": 0.88,
"learning_rate": 0.00021190130624092887,
"loss": 4.6283,
"step": 1046
},
{
"epoch": 0.88,
"learning_rate": 0.0002104499274310595,
"loss": 4.7217,
"step": 1047
},
{
"epoch": 0.88,
"learning_rate": 0.00020899854862119015,
"loss": 5.0962,
"step": 1048
},
{
"epoch": 0.88,
"learning_rate": 0.00020754716981132078,
"loss": 5.3154,
"step": 1049
},
{
"epoch": 0.88,
"learning_rate": 0.00020609579100145138,
"loss": 5.0557,
"step": 1050
},
{
"epoch": 0.88,
"learning_rate": 0.000204644412191582,
"loss": 4.9492,
"step": 1051
},
{
"epoch": 0.88,
"learning_rate": 0.00020319303338171263,
"loss": 4.7266,
"step": 1052
},
{
"epoch": 0.89,
"learning_rate": 0.00020174165457184325,
"loss": 4.742,
"step": 1053
},
{
"epoch": 0.89,
"learning_rate": 0.00020029027576197388,
"loss": 4.863,
"step": 1054
},
{
"epoch": 0.89,
"learning_rate": 0.0001988388969521045,
"loss": 4.845,
"step": 1055
},
{
"epoch": 0.89,
"learning_rate": 0.00019738751814223513,
"loss": 4.9859,
"step": 1056
},
{
"epoch": 0.89,
"learning_rate": 0.00019593613933236576,
"loss": 4.7998,
"step": 1057
},
{
"epoch": 0.89,
"learning_rate": 0.00019448476052249636,
"loss": 4.8476,
"step": 1058
},
{
"epoch": 0.89,
"learning_rate": 0.00019303338171262698,
"loss": 4.7775,
"step": 1059
},
{
"epoch": 0.89,
"learning_rate": 0.00019158200290275763,
"loss": 4.9301,
"step": 1060
},
{
"epoch": 0.89,
"learning_rate": 0.00019013062409288826,
"loss": 4.8106,
"step": 1061
},
{
"epoch": 0.89,
"learning_rate": 0.00018867924528301889,
"loss": 4.6737,
"step": 1062
},
{
"epoch": 0.89,
"learning_rate": 0.00018722786647314948,
"loss": 4.9978,
"step": 1063
},
{
"epoch": 0.89,
"learning_rate": 0.0001857764876632801,
"loss": 4.795,
"step": 1064
},
{
"epoch": 0.9,
"learning_rate": 0.00018432510885341076,
"loss": 4.614,
"step": 1065
},
{
"epoch": 0.9,
"learning_rate": 0.0001828737300435414,
"loss": 4.5133,
"step": 1066
},
{
"epoch": 0.9,
"learning_rate": 0.000181422351233672,
"loss": 4.705,
"step": 1067
},
{
"epoch": 0.9,
"learning_rate": 0.00017997097242380261,
"loss": 4.6891,
"step": 1068
},
{
"epoch": 0.9,
"learning_rate": 0.00017851959361393324,
"loss": 4.6569,
"step": 1069
},
{
"epoch": 0.9,
"learning_rate": 0.00017706821480406387,
"loss": 4.8474,
"step": 1070
},
{
"epoch": 0.9,
"learning_rate": 0.0001756168359941945,
"loss": 4.5824,
"step": 1071
},
{
"epoch": 0.9,
"learning_rate": 0.00017416545718432512,
"loss": 4.7272,
"step": 1072
},
{
"epoch": 0.9,
"learning_rate": 0.00017271407837445574,
"loss": 4.3551,
"step": 1073
},
{
"epoch": 0.9,
"learning_rate": 0.00017126269956458637,
"loss": 4.649,
"step": 1074
},
{
"epoch": 0.9,
"learning_rate": 0.00016981132075471697,
"loss": 4.5383,
"step": 1075
},
{
"epoch": 0.9,
"learning_rate": 0.0001683599419448476,
"loss": 4.871,
"step": 1076
},
{
"epoch": 0.91,
"learning_rate": 0.00016690856313497825,
"loss": 5.0256,
"step": 1077
},
{
"epoch": 0.91,
"learning_rate": 0.00016545718432510887,
"loss": 4.8263,
"step": 1078
},
{
"epoch": 0.91,
"learning_rate": 0.00016400580551523947,
"loss": 4.7065,
"step": 1079
},
{
"epoch": 0.91,
"learning_rate": 0.0001625544267053701,
"loss": 4.6886,
"step": 1080
},
{
"epoch": 0.91,
"learning_rate": 0.00016110304789550072,
"loss": 4.8443,
"step": 1081
},
{
"epoch": 0.91,
"learning_rate": 0.00015965166908563138,
"loss": 4.9113,
"step": 1082
},
{
"epoch": 0.91,
"learning_rate": 0.00015820029027576197,
"loss": 4.7974,
"step": 1083
},
{
"epoch": 0.91,
"learning_rate": 0.0001567489114658926,
"loss": 4.6697,
"step": 1084
},
{
"epoch": 0.91,
"learning_rate": 0.00015529753265602323,
"loss": 4.6998,
"step": 1085
},
{
"epoch": 0.91,
"learning_rate": 0.00015384615384615385,
"loss": 4.718,
"step": 1086
},
{
"epoch": 0.91,
"learning_rate": 0.00015239477503628445,
"loss": 4.655,
"step": 1087
},
{
"epoch": 0.91,
"learning_rate": 0.0001509433962264151,
"loss": 4.9084,
"step": 1088
},
{
"epoch": 0.92,
"learning_rate": 0.00014949201741654573,
"loss": 4.6914,
"step": 1089
},
{
"epoch": 0.92,
"learning_rate": 0.00014804063860667635,
"loss": 4.7079,
"step": 1090
},
{
"epoch": 0.92,
"learning_rate": 0.00014658925979680695,
"loss": 4.6175,
"step": 1091
},
{
"epoch": 0.92,
"learning_rate": 0.00014513788098693758,
"loss": 4.4339,
"step": 1092
},
{
"epoch": 0.92,
"learning_rate": 0.0001436865021770682,
"loss": 4.753,
"step": 1093
},
{
"epoch": 0.92,
"learning_rate": 0.00014223512336719886,
"loss": 4.8632,
"step": 1094
},
{
"epoch": 0.92,
"learning_rate": 0.00014078374455732948,
"loss": 4.9026,
"step": 1095
},
{
"epoch": 0.92,
"learning_rate": 0.00013933236574746008,
"loss": 5.2352,
"step": 1096
},
{
"epoch": 0.92,
"learning_rate": 0.0001378809869375907,
"loss": 4.7769,
"step": 1097
},
{
"epoch": 0.92,
"learning_rate": 0.00013642960812772133,
"loss": 5.0062,
"step": 1098
},
{
"epoch": 0.92,
"learning_rate": 0.000134978229317852,
"loss": 5.2523,
"step": 1099
},
{
"epoch": 0.92,
"learning_rate": 0.00013352685050798259,
"loss": 4.704,
"step": 1100
},
{
"epoch": 0.93,
"learning_rate": 0.0001320754716981132,
"loss": 5.3307,
"step": 1101
},
{
"epoch": 0.93,
"learning_rate": 0.00013062409288824384,
"loss": 4.716,
"step": 1102
},
{
"epoch": 0.93,
"learning_rate": 0.00012917271407837446,
"loss": 4.8122,
"step": 1103
},
{
"epoch": 0.93,
"learning_rate": 0.00012772133526850506,
"loss": 4.6091,
"step": 1104
},
{
"epoch": 0.93,
"learning_rate": 0.00012626995645863572,
"loss": 4.6994,
"step": 1105
},
{
"epoch": 0.93,
"learning_rate": 0.00012481857764876634,
"loss": 4.5174,
"step": 1106
},
{
"epoch": 0.93,
"learning_rate": 0.00012336719883889694,
"loss": 5.0963,
"step": 1107
},
{
"epoch": 0.93,
"learning_rate": 0.00012191582002902758,
"loss": 4.7831,
"step": 1108
},
{
"epoch": 0.93,
"learning_rate": 0.0001204644412191582,
"loss": 4.75,
"step": 1109
},
{
"epoch": 0.93,
"learning_rate": 0.00011901306240928883,
"loss": 4.5889,
"step": 1110
},
{
"epoch": 0.93,
"learning_rate": 0.00011756168359941944,
"loss": 4.6618,
"step": 1111
},
{
"epoch": 0.93,
"learning_rate": 0.00011611030478955008,
"loss": 4.959,
"step": 1112
},
{
"epoch": 0.94,
"learning_rate": 0.0001146589259796807,
"loss": 4.6879,
"step": 1113
},
{
"epoch": 0.94,
"learning_rate": 0.00011320754716981132,
"loss": 4.4547,
"step": 1114
},
{
"epoch": 0.94,
"learning_rate": 0.00011175616835994195,
"loss": 4.7914,
"step": 1115
},
{
"epoch": 0.94,
"learning_rate": 0.00011030478955007257,
"loss": 4.864,
"step": 1116
},
{
"epoch": 0.94,
"learning_rate": 0.00010885341074020318,
"loss": 4.9186,
"step": 1117
},
{
"epoch": 0.94,
"learning_rate": 0.00010740203193033382,
"loss": 4.6017,
"step": 1118
},
{
"epoch": 0.94,
"learning_rate": 0.00010595065312046444,
"loss": 4.3441,
"step": 1119
},
{
"epoch": 0.94,
"learning_rate": 0.00010449927431059508,
"loss": 4.8269,
"step": 1120
},
{
"epoch": 0.94,
"learning_rate": 0.00010304789550072569,
"loss": 4.8003,
"step": 1121
},
{
"epoch": 0.94,
"learning_rate": 0.00010159651669085631,
"loss": 4.908,
"step": 1122
},
{
"epoch": 0.94,
"learning_rate": 0.00010014513788098694,
"loss": 4.597,
"step": 1123
},
{
"epoch": 0.94,
"learning_rate": 9.869375907111757e-05,
"loss": 4.7209,
"step": 1124
},
{
"epoch": 0.95,
"learning_rate": 9.724238026124818e-05,
"loss": 5.189,
"step": 1125
},
{
"epoch": 0.95,
"learning_rate": 9.579100145137882e-05,
"loss": 4.6447,
"step": 1126
},
{
"epoch": 0.95,
"learning_rate": 9.433962264150944e-05,
"loss": 4.7426,
"step": 1127
},
{
"epoch": 0.95,
"learning_rate": 9.288824383164006e-05,
"loss": 4.6786,
"step": 1128
},
{
"epoch": 0.95,
"learning_rate": 9.14368650217707e-05,
"loss": 4.7179,
"step": 1129
},
{
"epoch": 0.95,
"learning_rate": 8.998548621190131e-05,
"loss": 4.8215,
"step": 1130
},
{
"epoch": 0.95,
"learning_rate": 8.853410740203193e-05,
"loss": 4.4143,
"step": 1131
},
{
"epoch": 0.95,
"learning_rate": 8.708272859216256e-05,
"loss": 4.4619,
"step": 1132
},
{
"epoch": 0.95,
"learning_rate": 8.563134978229318e-05,
"loss": 4.763,
"step": 1133
},
{
"epoch": 0.95,
"learning_rate": 8.41799709724238e-05,
"loss": 4.586,
"step": 1134
},
{
"epoch": 0.95,
"learning_rate": 8.272859216255444e-05,
"loss": 4.9249,
"step": 1135
},
{
"epoch": 0.96,
"learning_rate": 8.127721335268505e-05,
"loss": 4.5555,
"step": 1136
},
{
"epoch": 0.96,
"learning_rate": 7.982583454281569e-05,
"loss": 4.6658,
"step": 1137
},
{
"epoch": 0.96,
"learning_rate": 7.83744557329463e-05,
"loss": 4.6832,
"step": 1138
},
{
"epoch": 0.96,
"learning_rate": 7.692307692307693e-05,
"loss": 4.5276,
"step": 1139
},
{
"epoch": 0.96,
"learning_rate": 7.547169811320755e-05,
"loss": 4.512,
"step": 1140
},
{
"epoch": 0.96,
"learning_rate": 7.402031930333818e-05,
"loss": 4.9081,
"step": 1141
},
{
"epoch": 0.96,
"learning_rate": 7.256894049346879e-05,
"loss": 4.6692,
"step": 1142
},
{
"epoch": 0.96,
"learning_rate": 7.111756168359943e-05,
"loss": 4.7582,
"step": 1143
},
{
"epoch": 0.96,
"learning_rate": 6.966618287373004e-05,
"loss": 4.8991,
"step": 1144
},
{
"epoch": 0.96,
"learning_rate": 6.821480406386067e-05,
"loss": 4.5162,
"step": 1145
},
{
"epoch": 0.96,
"learning_rate": 6.676342525399129e-05,
"loss": 4.9342,
"step": 1146
},
{
"epoch": 0.96,
"learning_rate": 6.531204644412192e-05,
"loss": 6.1205,
"step": 1147
},
{
"epoch": 0.97,
"learning_rate": 6.386066763425253e-05,
"loss": 4.6055,
"step": 1148
},
{
"epoch": 0.97,
"learning_rate": 6.240928882438317e-05,
"loss": 5.1268,
"step": 1149
},
{
"epoch": 0.97,
"learning_rate": 6.095791001451379e-05,
"loss": 4.7341,
"step": 1150
},
{
"epoch": 0.97,
"learning_rate": 5.9506531204644415e-05,
"loss": 4.5723,
"step": 1151
},
{
"epoch": 0.97,
"learning_rate": 5.805515239477504e-05,
"loss": 4.4349,
"step": 1152
},
{
"epoch": 0.97,
"learning_rate": 5.660377358490566e-05,
"loss": 4.6777,
"step": 1153
},
{
"epoch": 0.97,
"learning_rate": 5.5152394775036286e-05,
"loss": 4.4656,
"step": 1154
},
{
"epoch": 0.97,
"learning_rate": 5.370101596516691e-05,
"loss": 4.9724,
"step": 1155
},
{
"epoch": 0.97,
"learning_rate": 5.224963715529754e-05,
"loss": 4.7204,
"step": 1156
},
{
"epoch": 0.97,
"learning_rate": 5.079825834542816e-05,
"loss": 4.7556,
"step": 1157
},
{
"epoch": 0.97,
"learning_rate": 4.934687953555878e-05,
"loss": 4.6727,
"step": 1158
},
{
"epoch": 0.97,
"learning_rate": 4.789550072568941e-05,
"loss": 4.4809,
"step": 1159
},
{
"epoch": 0.98,
"learning_rate": 4.644412191582003e-05,
"loss": 4.708,
"step": 1160
},
{
"epoch": 0.98,
"learning_rate": 4.4992743105950653e-05,
"loss": 4.8091,
"step": 1161
},
{
"epoch": 0.98,
"learning_rate": 4.354136429608128e-05,
"loss": 5.0111,
"step": 1162
},
{
"epoch": 0.98,
"learning_rate": 4.20899854862119e-05,
"loss": 4.823,
"step": 1163
},
{
"epoch": 0.98,
"learning_rate": 4.0638606676342524e-05,
"loss": 4.5235,
"step": 1164
},
{
"epoch": 0.98,
"learning_rate": 3.918722786647315e-05,
"loss": 4.8935,
"step": 1165
},
{
"epoch": 0.98,
"learning_rate": 3.7735849056603776e-05,
"loss": 4.8347,
"step": 1166
},
{
"epoch": 0.98,
"learning_rate": 3.6284470246734395e-05,
"loss": 4.5507,
"step": 1167
},
{
"epoch": 0.98,
"learning_rate": 3.483309143686502e-05,
"loss": 4.5014,
"step": 1168
},
{
"epoch": 0.98,
"learning_rate": 3.3381712626995646e-05,
"loss": 4.6697,
"step": 1169
},
{
"epoch": 0.98,
"learning_rate": 3.1930333817126266e-05,
"loss": 4.5949,
"step": 1170
},
{
"epoch": 0.98,
"learning_rate": 3.0478955007256895e-05,
"loss": 4.6143,
"step": 1171
},
{
"epoch": 0.99,
"learning_rate": 2.902757619738752e-05,
"loss": 4.4137,
"step": 1172
},
{
"epoch": 0.99,
"learning_rate": 2.7576197387518143e-05,
"loss": 4.6779,
"step": 1173
},
{
"epoch": 0.99,
"learning_rate": 2.612481857764877e-05,
"loss": 4.6309,
"step": 1174
},
{
"epoch": 0.99,
"learning_rate": 2.467343976777939e-05,
"loss": 4.3231,
"step": 1175
},
{
"epoch": 0.99,
"learning_rate": 2.3222060957910014e-05,
"loss": 4.5942,
"step": 1176
},
{
"epoch": 0.99,
"learning_rate": 2.177068214804064e-05,
"loss": 4.5917,
"step": 1177
},
{
"epoch": 0.99,
"learning_rate": 2.0319303338171262e-05,
"loss": 5.0845,
"step": 1178
},
{
"epoch": 0.99,
"learning_rate": 1.8867924528301888e-05,
"loss": 4.4308,
"step": 1179
},
{
"epoch": 0.99,
"learning_rate": 1.741654571843251e-05,
"loss": 4.7573,
"step": 1180
},
{
"epoch": 0.99,
"learning_rate": 1.5965166908563133e-05,
"loss": 4.8455,
"step": 1181
},
{
"epoch": 0.99,
"learning_rate": 1.451378809869376e-05,
"loss": 4.6741,
"step": 1182
},
{
"epoch": 0.99,
"learning_rate": 1.3062409288824384e-05,
"loss": 4.5611,
"step": 1183
},
{
"epoch": 1.0,
"learning_rate": 1.1611030478955007e-05,
"loss": 4.9078,
"step": 1184
},
{
"epoch": 1.0,
"learning_rate": 1.0159651669085631e-05,
"loss": 4.7998,
"step": 1185
},
{
"epoch": 1.0,
"learning_rate": 8.708272859216255e-06,
"loss": 4.7906,
"step": 1186
},
{
"epoch": 1.0,
"learning_rate": 7.25689404934688e-06,
"loss": 4.5753,
"step": 1187
},
{
"epoch": 1.0,
"learning_rate": 5.8055152394775034e-06,
"loss": 4.7835,
"step": 1188
},
{
"epoch": 1.0,
"learning_rate": 4.354136429608128e-06,
"loss": 4.9311,
"step": 1189
},
{
"epoch": 1.0,
"step": 1189,
"total_flos": 0.0,
"train_loss": 5.084408325743936,
"train_runtime": 6545.2766,
"train_samples_per_second": 4.36,
"train_steps_per_second": 0.182
}
],
"max_steps": 1189,
"num_train_epochs": 1,
"total_flos": 0.0,
"trial_name": null,
"trial_params": null
}