wav2vec2-gpt2-wandb-grid-search / trainer_state.json
sanchit-gandhi's picture
End of training
7dec219
raw
history blame
No virus
34.2 kB
{
"best_metric": null,
"best_model_checkpoint": null,
"epoch": 0.9987389659520807,
"global_step": 297,
"is_hyper_param_search": false,
"is_local_process_zero": true,
"is_world_process_zero": true,
"log_history": [
{
"epoch": 0.0,
"learning_rate": 2e-08,
"loss": 4.7631,
"step": 1
},
{
"epoch": 0.01,
"learning_rate": 4e-08,
"loss": 4.8416,
"step": 2
},
{
"epoch": 0.01,
"learning_rate": 6.000000000000001e-08,
"loss": 4.9134,
"step": 3
},
{
"epoch": 0.01,
"learning_rate": 8e-08,
"loss": 4.866,
"step": 4
},
{
"epoch": 0.02,
"learning_rate": 1.0000000000000001e-07,
"loss": 4.7491,
"step": 5
},
{
"epoch": 0.02,
"learning_rate": 1.0000000000000001e-07,
"loss": 4.881,
"step": 6
},
{
"epoch": 0.02,
"learning_rate": 1.2000000000000002e-07,
"loss": 4.865,
"step": 7
},
{
"epoch": 0.03,
"learning_rate": 1.4e-07,
"loss": 4.9424,
"step": 8
},
{
"epoch": 0.03,
"learning_rate": 1.6e-07,
"loss": 4.8589,
"step": 9
},
{
"epoch": 0.03,
"learning_rate": 1.8e-07,
"loss": 4.7175,
"step": 10
},
{
"epoch": 0.04,
"learning_rate": 2.0000000000000002e-07,
"loss": 4.8635,
"step": 11
},
{
"epoch": 0.04,
"learning_rate": 2.2e-07,
"loss": 4.9133,
"step": 12
},
{
"epoch": 0.04,
"learning_rate": 2.4000000000000003e-07,
"loss": 4.8214,
"step": 13
},
{
"epoch": 0.05,
"learning_rate": 2.6e-07,
"loss": 4.7817,
"step": 14
},
{
"epoch": 0.05,
"learning_rate": 2.8e-07,
"loss": 4.8005,
"step": 15
},
{
"epoch": 0.05,
"learning_rate": 3.0000000000000004e-07,
"loss": 4.7432,
"step": 16
},
{
"epoch": 0.06,
"learning_rate": 3.2e-07,
"loss": 4.8438,
"step": 17
},
{
"epoch": 0.06,
"learning_rate": 3.4000000000000003e-07,
"loss": 4.8615,
"step": 18
},
{
"epoch": 0.06,
"learning_rate": 3.6e-07,
"loss": 4.8127,
"step": 19
},
{
"epoch": 0.07,
"learning_rate": 3.8e-07,
"loss": 4.9098,
"step": 20
},
{
"epoch": 0.07,
"learning_rate": 4.0000000000000003e-07,
"loss": 4.9149,
"step": 21
},
{
"epoch": 0.07,
"learning_rate": 4.2000000000000006e-07,
"loss": 4.8637,
"step": 22
},
{
"epoch": 0.08,
"learning_rate": 4.4e-07,
"loss": 4.7818,
"step": 23
},
{
"epoch": 0.08,
"learning_rate": 4.6000000000000004e-07,
"loss": 4.925,
"step": 24
},
{
"epoch": 0.08,
"learning_rate": 4.800000000000001e-07,
"loss": 4.7598,
"step": 25
},
{
"epoch": 0.09,
"learning_rate": 5.000000000000001e-07,
"loss": 5.0535,
"step": 26
},
{
"epoch": 0.09,
"learning_rate": 5.2e-07,
"loss": 4.7982,
"step": 27
},
{
"epoch": 0.09,
"learning_rate": 5.4e-07,
"loss": 4.8116,
"step": 28
},
{
"epoch": 0.1,
"learning_rate": 5.6e-07,
"loss": 4.7091,
"step": 29
},
{
"epoch": 0.1,
"learning_rate": 5.800000000000001e-07,
"loss": 4.8633,
"step": 30
},
{
"epoch": 0.1,
"learning_rate": 6.000000000000001e-07,
"loss": 4.8641,
"step": 31
},
{
"epoch": 0.11,
"learning_rate": 6.200000000000001e-07,
"loss": 4.7895,
"step": 32
},
{
"epoch": 0.11,
"learning_rate": 6.4e-07,
"loss": 4.8242,
"step": 33
},
{
"epoch": 0.11,
"learning_rate": 6.6e-07,
"loss": 4.7594,
"step": 34
},
{
"epoch": 0.12,
"learning_rate": 6.800000000000001e-07,
"loss": 4.797,
"step": 35
},
{
"epoch": 0.12,
"learning_rate": 7.000000000000001e-07,
"loss": 4.7634,
"step": 36
},
{
"epoch": 0.12,
"learning_rate": 7.2e-07,
"loss": 4.8871,
"step": 37
},
{
"epoch": 0.13,
"learning_rate": 7.4e-07,
"loss": 4.8558,
"step": 38
},
{
"epoch": 0.13,
"learning_rate": 7.6e-07,
"loss": 4.9115,
"step": 39
},
{
"epoch": 0.13,
"learning_rate": 7.8e-07,
"loss": 4.7539,
"step": 40
},
{
"epoch": 0.14,
"learning_rate": 8.000000000000001e-07,
"loss": 4.8368,
"step": 41
},
{
"epoch": 0.14,
"learning_rate": 8.200000000000001e-07,
"loss": 4.9361,
"step": 42
},
{
"epoch": 0.14,
"learning_rate": 8.400000000000001e-07,
"loss": 4.7091,
"step": 43
},
{
"epoch": 0.15,
"learning_rate": 8.6e-07,
"loss": 5.0219,
"step": 44
},
{
"epoch": 0.15,
"learning_rate": 8.8e-07,
"loss": 4.9978,
"step": 45
},
{
"epoch": 0.15,
"learning_rate": 9.000000000000001e-07,
"loss": 5.0722,
"step": 46
},
{
"epoch": 0.16,
"learning_rate": 9.200000000000001e-07,
"loss": 5.1093,
"step": 47
},
{
"epoch": 0.16,
"learning_rate": 9.400000000000001e-07,
"loss": 5.1838,
"step": 48
},
{
"epoch": 0.16,
"learning_rate": 9.600000000000001e-07,
"loss": 5.2483,
"step": 49
},
{
"epoch": 0.17,
"learning_rate": 9.800000000000001e-07,
"loss": 5.1613,
"step": 50
},
{
"epoch": 0.17,
"learning_rate": 1.0000000000000002e-06,
"loss": 4.6702,
"step": 51
},
{
"epoch": 0.17,
"learning_rate": 1.02e-06,
"loss": 4.5504,
"step": 52
},
{
"epoch": 0.18,
"learning_rate": 1.04e-06,
"loss": 4.5079,
"step": 53
},
{
"epoch": 0.18,
"learning_rate": 1.06e-06,
"loss": 4.524,
"step": 54
},
{
"epoch": 0.18,
"learning_rate": 1.08e-06,
"loss": 4.4589,
"step": 55
},
{
"epoch": 0.19,
"learning_rate": 1.1e-06,
"loss": 4.4616,
"step": 56
},
{
"epoch": 0.19,
"learning_rate": 1.12e-06,
"loss": 4.6109,
"step": 57
},
{
"epoch": 0.2,
"learning_rate": 1.14e-06,
"loss": 4.6348,
"step": 58
},
{
"epoch": 0.2,
"learning_rate": 1.1600000000000001e-06,
"loss": 4.6056,
"step": 59
},
{
"epoch": 0.2,
"learning_rate": 1.1800000000000001e-06,
"loss": 4.511,
"step": 60
},
{
"epoch": 0.21,
"learning_rate": 1.2000000000000002e-06,
"loss": 4.5875,
"step": 61
},
{
"epoch": 0.21,
"learning_rate": 1.2200000000000002e-06,
"loss": 4.4502,
"step": 62
},
{
"epoch": 0.21,
"learning_rate": 1.2400000000000002e-06,
"loss": 4.584,
"step": 63
},
{
"epoch": 0.22,
"learning_rate": 1.26e-06,
"loss": 4.5269,
"step": 64
},
{
"epoch": 0.22,
"learning_rate": 1.28e-06,
"loss": 4.603,
"step": 65
},
{
"epoch": 0.22,
"learning_rate": 1.3e-06,
"loss": 4.583,
"step": 66
},
{
"epoch": 0.23,
"learning_rate": 1.32e-06,
"loss": 4.548,
"step": 67
},
{
"epoch": 0.23,
"learning_rate": 1.34e-06,
"loss": 4.5705,
"step": 68
},
{
"epoch": 0.23,
"learning_rate": 1.3600000000000001e-06,
"loss": 4.5167,
"step": 69
},
{
"epoch": 0.24,
"learning_rate": 1.3800000000000001e-06,
"loss": 4.4513,
"step": 70
},
{
"epoch": 0.24,
"learning_rate": 1.4000000000000001e-06,
"loss": 4.4493,
"step": 71
},
{
"epoch": 0.24,
"learning_rate": 1.42e-06,
"loss": 4.5737,
"step": 72
},
{
"epoch": 0.25,
"learning_rate": 1.44e-06,
"loss": 4.4902,
"step": 73
},
{
"epoch": 0.25,
"learning_rate": 1.46e-06,
"loss": 4.4769,
"step": 74
},
{
"epoch": 0.25,
"learning_rate": 1.48e-06,
"loss": 4.5744,
"step": 75
},
{
"epoch": 0.26,
"learning_rate": 1.5e-06,
"loss": 4.4586,
"step": 76
},
{
"epoch": 0.26,
"learning_rate": 1.52e-06,
"loss": 4.4262,
"step": 77
},
{
"epoch": 0.26,
"learning_rate": 1.54e-06,
"loss": 4.4633,
"step": 78
},
{
"epoch": 0.27,
"learning_rate": 1.56e-06,
"loss": 4.3748,
"step": 79
},
{
"epoch": 0.27,
"learning_rate": 1.5800000000000001e-06,
"loss": 4.5469,
"step": 80
},
{
"epoch": 0.27,
"learning_rate": 1.6000000000000001e-06,
"loss": 4.4678,
"step": 81
},
{
"epoch": 0.28,
"learning_rate": 1.6200000000000002e-06,
"loss": 4.4655,
"step": 82
},
{
"epoch": 0.28,
"learning_rate": 1.6400000000000002e-06,
"loss": 4.4408,
"step": 83
},
{
"epoch": 0.28,
"learning_rate": 1.6600000000000002e-06,
"loss": 4.4692,
"step": 84
},
{
"epoch": 0.29,
"learning_rate": 1.6800000000000002e-06,
"loss": 4.5515,
"step": 85
},
{
"epoch": 0.29,
"learning_rate": 1.7000000000000002e-06,
"loss": 4.4461,
"step": 86
},
{
"epoch": 0.29,
"learning_rate": 1.72e-06,
"loss": 4.5007,
"step": 87
},
{
"epoch": 0.3,
"learning_rate": 1.74e-06,
"loss": 4.5093,
"step": 88
},
{
"epoch": 0.3,
"learning_rate": 1.76e-06,
"loss": 4.542,
"step": 89
},
{
"epoch": 0.3,
"learning_rate": 1.7800000000000001e-06,
"loss": 4.5639,
"step": 90
},
{
"epoch": 0.31,
"learning_rate": 1.8000000000000001e-06,
"loss": 4.5876,
"step": 91
},
{
"epoch": 0.31,
"learning_rate": 1.8200000000000002e-06,
"loss": 4.6393,
"step": 92
},
{
"epoch": 0.31,
"learning_rate": 1.8400000000000002e-06,
"loss": 4.5679,
"step": 93
},
{
"epoch": 0.32,
"learning_rate": 1.8600000000000002e-06,
"loss": 4.5151,
"step": 94
},
{
"epoch": 0.32,
"learning_rate": 1.8800000000000002e-06,
"loss": 4.4897,
"step": 95
},
{
"epoch": 0.32,
"learning_rate": 1.9000000000000002e-06,
"loss": 4.6841,
"step": 96
},
{
"epoch": 0.33,
"learning_rate": 1.9200000000000003e-06,
"loss": 4.8675,
"step": 97
},
{
"epoch": 0.33,
"learning_rate": 1.94e-06,
"loss": 4.8079,
"step": 98
},
{
"epoch": 0.33,
"learning_rate": 1.9600000000000003e-06,
"loss": 4.7732,
"step": 99
},
{
"epoch": 0.34,
"learning_rate": 1.98e-06,
"loss": 4.8548,
"step": 100
},
{
"epoch": 0.34,
"learning_rate": 2.0000000000000003e-06,
"loss": 4.3301,
"step": 101
},
{
"epoch": 0.34,
"learning_rate": 2.02e-06,
"loss": 4.3758,
"step": 102
},
{
"epoch": 0.35,
"learning_rate": 2.04e-06,
"loss": 4.3781,
"step": 103
},
{
"epoch": 0.35,
"learning_rate": 2.06e-06,
"loss": 4.2815,
"step": 104
},
{
"epoch": 0.35,
"learning_rate": 2.08e-06,
"loss": 4.3953,
"step": 105
},
{
"epoch": 0.36,
"learning_rate": 2.1000000000000002e-06,
"loss": 4.336,
"step": 106
},
{
"epoch": 0.36,
"learning_rate": 2.12e-06,
"loss": 4.2744,
"step": 107
},
{
"epoch": 0.36,
"learning_rate": 2.1400000000000003e-06,
"loss": 4.3794,
"step": 108
},
{
"epoch": 0.37,
"learning_rate": 2.16e-06,
"loss": 4.3837,
"step": 109
},
{
"epoch": 0.37,
"learning_rate": 2.1800000000000003e-06,
"loss": 4.3399,
"step": 110
},
{
"epoch": 0.37,
"learning_rate": 2.2e-06,
"loss": 4.4186,
"step": 111
},
{
"epoch": 0.38,
"learning_rate": 2.2200000000000003e-06,
"loss": 4.354,
"step": 112
},
{
"epoch": 0.38,
"learning_rate": 2.24e-06,
"loss": 4.2735,
"step": 113
},
{
"epoch": 0.38,
"learning_rate": 2.2600000000000004e-06,
"loss": 4.3512,
"step": 114
},
{
"epoch": 0.39,
"learning_rate": 2.28e-06,
"loss": 4.305,
"step": 115
},
{
"epoch": 0.39,
"learning_rate": 2.3000000000000004e-06,
"loss": 4.3163,
"step": 116
},
{
"epoch": 0.39,
"learning_rate": 2.3200000000000002e-06,
"loss": 4.2756,
"step": 117
},
{
"epoch": 0.4,
"learning_rate": 2.3400000000000005e-06,
"loss": 4.332,
"step": 118
},
{
"epoch": 0.4,
"learning_rate": 2.3600000000000003e-06,
"loss": 4.3621,
"step": 119
},
{
"epoch": 0.4,
"learning_rate": 2.38e-06,
"loss": 4.3609,
"step": 120
},
{
"epoch": 0.41,
"learning_rate": 2.4000000000000003e-06,
"loss": 4.3857,
"step": 121
},
{
"epoch": 0.41,
"learning_rate": 2.42e-06,
"loss": 4.4307,
"step": 122
},
{
"epoch": 0.41,
"learning_rate": 2.4400000000000004e-06,
"loss": 4.2447,
"step": 123
},
{
"epoch": 0.42,
"learning_rate": 2.46e-06,
"loss": 4.3872,
"step": 124
},
{
"epoch": 0.42,
"learning_rate": 2.4800000000000004e-06,
"loss": 4.432,
"step": 125
},
{
"epoch": 0.42,
"learning_rate": 2.5e-06,
"loss": 4.3551,
"step": 126
},
{
"epoch": 0.43,
"learning_rate": 2.52e-06,
"loss": 4.4112,
"step": 127
},
{
"epoch": 0.43,
"learning_rate": 2.5400000000000002e-06,
"loss": 4.2566,
"step": 128
},
{
"epoch": 0.43,
"learning_rate": 2.56e-06,
"loss": 4.3964,
"step": 129
},
{
"epoch": 0.44,
"learning_rate": 2.5800000000000003e-06,
"loss": 4.4793,
"step": 130
},
{
"epoch": 0.44,
"learning_rate": 2.6e-06,
"loss": 4.4071,
"step": 131
},
{
"epoch": 0.44,
"learning_rate": 2.6200000000000003e-06,
"loss": 4.2245,
"step": 132
},
{
"epoch": 0.45,
"learning_rate": 2.64e-06,
"loss": 4.3941,
"step": 133
},
{
"epoch": 0.45,
"learning_rate": 2.6600000000000004e-06,
"loss": 4.2761,
"step": 134
},
{
"epoch": 0.45,
"learning_rate": 2.68e-06,
"loss": 4.4702,
"step": 135
},
{
"epoch": 0.46,
"learning_rate": 2.7000000000000004e-06,
"loss": 4.3816,
"step": 136
},
{
"epoch": 0.46,
"learning_rate": 2.7200000000000002e-06,
"loss": 4.3289,
"step": 137
},
{
"epoch": 0.46,
"learning_rate": 2.7400000000000004e-06,
"loss": 4.2291,
"step": 138
},
{
"epoch": 0.47,
"learning_rate": 2.7600000000000003e-06,
"loss": 4.2674,
"step": 139
},
{
"epoch": 0.47,
"learning_rate": 2.7800000000000005e-06,
"loss": 4.3243,
"step": 140
},
{
"epoch": 0.47,
"learning_rate": 2.8000000000000003e-06,
"loss": 4.5266,
"step": 141
},
{
"epoch": 0.48,
"learning_rate": 2.82e-06,
"loss": 4.2802,
"step": 142
},
{
"epoch": 0.48,
"learning_rate": 2.84e-06,
"loss": 4.4014,
"step": 143
},
{
"epoch": 0.48,
"learning_rate": 2.86e-06,
"loss": 4.4192,
"step": 144
},
{
"epoch": 0.49,
"learning_rate": 2.88e-06,
"loss": 4.4916,
"step": 145
},
{
"epoch": 0.49,
"learning_rate": 2.9e-06,
"loss": 4.3661,
"step": 146
},
{
"epoch": 0.49,
"learning_rate": 2.92e-06,
"loss": 4.4813,
"step": 147
},
{
"epoch": 0.5,
"learning_rate": 2.9400000000000002e-06,
"loss": 4.648,
"step": 148
},
{
"epoch": 0.5,
"learning_rate": 2.96e-06,
"loss": 4.6219,
"step": 149
},
{
"epoch": 0.5,
"learning_rate": 2.9800000000000003e-06,
"loss": 4.7617,
"step": 150
},
{
"epoch": 0.51,
"learning_rate": 3e-06,
"loss": 4.3295,
"step": 151
},
{
"epoch": 0.51,
"learning_rate": 3.0200000000000003e-06,
"loss": 4.3143,
"step": 152
},
{
"epoch": 0.51,
"learning_rate": 3.04e-06,
"loss": 4.3215,
"step": 153
},
{
"epoch": 0.52,
"learning_rate": 3.0600000000000003e-06,
"loss": 4.263,
"step": 154
},
{
"epoch": 0.52,
"learning_rate": 3.08e-06,
"loss": 4.2973,
"step": 155
},
{
"epoch": 0.52,
"learning_rate": 3.1000000000000004e-06,
"loss": 4.3268,
"step": 156
},
{
"epoch": 0.53,
"learning_rate": 3.12e-06,
"loss": 4.2318,
"step": 157
},
{
"epoch": 0.53,
"learning_rate": 3.1400000000000004e-06,
"loss": 4.3031,
"step": 158
},
{
"epoch": 0.53,
"learning_rate": 3.1600000000000002e-06,
"loss": 4.2795,
"step": 159
},
{
"epoch": 0.54,
"learning_rate": 3.1800000000000005e-06,
"loss": 4.2713,
"step": 160
},
{
"epoch": 0.54,
"learning_rate": 3.2000000000000003e-06,
"loss": 4.2754,
"step": 161
},
{
"epoch": 0.54,
"learning_rate": 3.2200000000000005e-06,
"loss": 4.2627,
"step": 162
},
{
"epoch": 0.55,
"learning_rate": 3.2400000000000003e-06,
"loss": 4.3161,
"step": 163
},
{
"epoch": 0.55,
"learning_rate": 3.2600000000000006e-06,
"loss": 4.2449,
"step": 164
},
{
"epoch": 0.55,
"learning_rate": 3.2800000000000004e-06,
"loss": 4.3067,
"step": 165
},
{
"epoch": 0.56,
"learning_rate": 3.3000000000000006e-06,
"loss": 4.2734,
"step": 166
},
{
"epoch": 0.56,
"learning_rate": 3.3200000000000004e-06,
"loss": 4.2985,
"step": 167
},
{
"epoch": 0.56,
"learning_rate": 3.3400000000000006e-06,
"loss": 4.2804,
"step": 168
},
{
"epoch": 0.57,
"learning_rate": 3.3600000000000004e-06,
"loss": 4.2491,
"step": 169
},
{
"epoch": 0.57,
"learning_rate": 3.3800000000000007e-06,
"loss": 4.1994,
"step": 170
},
{
"epoch": 0.58,
"learning_rate": 3.4000000000000005e-06,
"loss": 4.1827,
"step": 171
},
{
"epoch": 0.58,
"learning_rate": 3.4200000000000007e-06,
"loss": 4.2962,
"step": 172
},
{
"epoch": 0.58,
"learning_rate": 3.44e-06,
"loss": 4.1543,
"step": 173
},
{
"epoch": 0.59,
"learning_rate": 3.46e-06,
"loss": 4.2074,
"step": 174
},
{
"epoch": 0.59,
"learning_rate": 3.48e-06,
"loss": 4.3798,
"step": 175
},
{
"epoch": 0.59,
"learning_rate": 3.5e-06,
"loss": 4.2137,
"step": 176
},
{
"epoch": 0.6,
"learning_rate": 3.52e-06,
"loss": 4.3487,
"step": 177
},
{
"epoch": 0.6,
"learning_rate": 3.54e-06,
"loss": 4.2096,
"step": 178
},
{
"epoch": 0.6,
"learning_rate": 3.5600000000000002e-06,
"loss": 4.2574,
"step": 179
},
{
"epoch": 0.61,
"learning_rate": 3.58e-06,
"loss": 4.3968,
"step": 180
},
{
"epoch": 0.61,
"learning_rate": 3.6000000000000003e-06,
"loss": 4.2574,
"step": 181
},
{
"epoch": 0.61,
"learning_rate": 3.62e-06,
"loss": 4.211,
"step": 182
},
{
"epoch": 0.62,
"learning_rate": 3.6400000000000003e-06,
"loss": 4.1823,
"step": 183
},
{
"epoch": 0.62,
"learning_rate": 3.66e-06,
"loss": 4.2799,
"step": 184
},
{
"epoch": 0.62,
"learning_rate": 3.6800000000000003e-06,
"loss": 4.3304,
"step": 185
},
{
"epoch": 0.63,
"learning_rate": 3.7e-06,
"loss": 4.2739,
"step": 186
},
{
"epoch": 0.63,
"learning_rate": 3.7200000000000004e-06,
"loss": 4.3083,
"step": 187
},
{
"epoch": 0.63,
"learning_rate": 3.74e-06,
"loss": 4.2813,
"step": 188
},
{
"epoch": 0.64,
"learning_rate": 3.7600000000000004e-06,
"loss": 4.2463,
"step": 189
},
{
"epoch": 0.64,
"learning_rate": 3.7800000000000002e-06,
"loss": 4.3319,
"step": 190
},
{
"epoch": 0.64,
"learning_rate": 3.8000000000000005e-06,
"loss": 4.3619,
"step": 191
},
{
"epoch": 0.65,
"learning_rate": 3.820000000000001e-06,
"loss": 4.4395,
"step": 192
},
{
"epoch": 0.65,
"learning_rate": 3.8400000000000005e-06,
"loss": 4.5067,
"step": 193
},
{
"epoch": 0.65,
"learning_rate": 3.86e-06,
"loss": 4.4368,
"step": 194
},
{
"epoch": 0.66,
"learning_rate": 3.88e-06,
"loss": 4.4093,
"step": 195
},
{
"epoch": 0.66,
"learning_rate": 3.900000000000001e-06,
"loss": 4.3601,
"step": 196
},
{
"epoch": 0.66,
"learning_rate": 3.920000000000001e-06,
"loss": 4.2712,
"step": 197
},
{
"epoch": 0.67,
"learning_rate": 3.94e-06,
"loss": 4.7576,
"step": 198
},
{
"epoch": 0.67,
"learning_rate": 3.96e-06,
"loss": 4.496,
"step": 199
},
{
"epoch": 0.67,
"learning_rate": 3.980000000000001e-06,
"loss": 4.7133,
"step": 200
},
{
"epoch": 0.68,
"learning_rate": 4.000000000000001e-06,
"loss": 4.3123,
"step": 201
},
{
"epoch": 0.68,
"learning_rate": 4.0200000000000005e-06,
"loss": 4.2594,
"step": 202
},
{
"epoch": 0.68,
"learning_rate": 4.04e-06,
"loss": 4.2421,
"step": 203
},
{
"epoch": 0.69,
"learning_rate": 4.060000000000001e-06,
"loss": 4.1647,
"step": 204
},
{
"epoch": 0.69,
"learning_rate": 4.08e-06,
"loss": 4.2331,
"step": 205
},
{
"epoch": 0.69,
"learning_rate": 4.1e-06,
"loss": 4.2301,
"step": 206
},
{
"epoch": 0.7,
"learning_rate": 4.12e-06,
"loss": 4.2757,
"step": 207
},
{
"epoch": 0.7,
"learning_rate": 4.14e-06,
"loss": 4.2435,
"step": 208
},
{
"epoch": 0.7,
"learning_rate": 4.16e-06,
"loss": 4.217,
"step": 209
},
{
"epoch": 0.71,
"learning_rate": 4.18e-06,
"loss": 4.3187,
"step": 210
},
{
"epoch": 0.71,
"learning_rate": 4.2000000000000004e-06,
"loss": 4.1103,
"step": 211
},
{
"epoch": 0.71,
"learning_rate": 4.22e-06,
"loss": 4.2436,
"step": 212
},
{
"epoch": 0.72,
"learning_rate": 4.24e-06,
"loss": 4.2657,
"step": 213
},
{
"epoch": 0.72,
"learning_rate": 4.26e-06,
"loss": 4.2639,
"step": 214
},
{
"epoch": 0.72,
"learning_rate": 4.2800000000000005e-06,
"loss": 4.2702,
"step": 215
},
{
"epoch": 0.73,
"learning_rate": 4.3e-06,
"loss": 4.2505,
"step": 216
},
{
"epoch": 0.73,
"learning_rate": 4.32e-06,
"loss": 4.2209,
"step": 217
},
{
"epoch": 0.73,
"learning_rate": 4.34e-06,
"loss": 4.1902,
"step": 218
},
{
"epoch": 0.74,
"learning_rate": 4.360000000000001e-06,
"loss": 4.1969,
"step": 219
},
{
"epoch": 0.74,
"learning_rate": 4.38e-06,
"loss": 4.2543,
"step": 220
},
{
"epoch": 0.74,
"learning_rate": 4.4e-06,
"loss": 4.1718,
"step": 221
},
{
"epoch": 0.75,
"learning_rate": 4.42e-06,
"loss": 4.1763,
"step": 222
},
{
"epoch": 0.75,
"learning_rate": 4.440000000000001e-06,
"loss": 4.1954,
"step": 223
},
{
"epoch": 0.75,
"learning_rate": 4.4600000000000005e-06,
"loss": 4.2428,
"step": 224
},
{
"epoch": 0.76,
"learning_rate": 4.48e-06,
"loss": 4.2145,
"step": 225
},
{
"epoch": 0.76,
"learning_rate": 4.5e-06,
"loss": 4.2234,
"step": 226
},
{
"epoch": 0.76,
"learning_rate": 4.520000000000001e-06,
"loss": 4.2594,
"step": 227
},
{
"epoch": 0.77,
"learning_rate": 4.540000000000001e-06,
"loss": 4.1951,
"step": 228
},
{
"epoch": 0.77,
"learning_rate": 4.56e-06,
"loss": 4.2091,
"step": 229
},
{
"epoch": 0.77,
"learning_rate": 4.58e-06,
"loss": 4.2206,
"step": 230
},
{
"epoch": 0.78,
"learning_rate": 4.600000000000001e-06,
"loss": 4.3193,
"step": 231
},
{
"epoch": 0.78,
"learning_rate": 4.620000000000001e-06,
"loss": 4.1905,
"step": 232
},
{
"epoch": 0.78,
"learning_rate": 4.6400000000000005e-06,
"loss": 4.2973,
"step": 233
},
{
"epoch": 0.79,
"learning_rate": 4.66e-06,
"loss": 4.2775,
"step": 234
},
{
"epoch": 0.79,
"learning_rate": 4.680000000000001e-06,
"loss": 4.3279,
"step": 235
},
{
"epoch": 0.79,
"learning_rate": 4.7e-06,
"loss": 4.1503,
"step": 236
},
{
"epoch": 0.8,
"learning_rate": 4.7200000000000005e-06,
"loss": 4.2542,
"step": 237
},
{
"epoch": 0.8,
"learning_rate": 4.74e-06,
"loss": 4.3807,
"step": 238
},
{
"epoch": 0.8,
"learning_rate": 4.76e-06,
"loss": 4.2229,
"step": 239
},
{
"epoch": 0.81,
"learning_rate": 4.78e-06,
"loss": 4.2712,
"step": 240
},
{
"epoch": 0.81,
"learning_rate": 4.800000000000001e-06,
"loss": 4.3808,
"step": 241
},
{
"epoch": 0.81,
"learning_rate": 4.8200000000000004e-06,
"loss": 4.3217,
"step": 242
},
{
"epoch": 0.82,
"learning_rate": 4.84e-06,
"loss": 4.2638,
"step": 243
},
{
"epoch": 0.82,
"learning_rate": 4.86e-06,
"loss": 4.2872,
"step": 244
},
{
"epoch": 0.82,
"learning_rate": 4.880000000000001e-06,
"loss": 4.2581,
"step": 245
},
{
"epoch": 0.83,
"learning_rate": 4.9000000000000005e-06,
"loss": 4.4471,
"step": 246
},
{
"epoch": 0.83,
"learning_rate": 4.92e-06,
"loss": 4.3912,
"step": 247
},
{
"epoch": 0.83,
"learning_rate": 4.94e-06,
"loss": 4.3966,
"step": 248
},
{
"epoch": 0.84,
"learning_rate": 4.960000000000001e-06,
"loss": 4.5067,
"step": 249
},
{
"epoch": 0.84,
"learning_rate": 4.980000000000001e-06,
"loss": 4.5562,
"step": 250
},
{
"epoch": 0.84,
"learning_rate": 5e-06,
"loss": 4.2843,
"step": 251
},
{
"epoch": 0.85,
"learning_rate": 5.02e-06,
"loss": 4.2021,
"step": 252
},
{
"epoch": 0.85,
"learning_rate": 5.04e-06,
"loss": 4.1545,
"step": 253
},
{
"epoch": 0.85,
"learning_rate": 5.060000000000001e-06,
"loss": 4.1504,
"step": 254
},
{
"epoch": 0.86,
"learning_rate": 5.0800000000000005e-06,
"loss": 4.1911,
"step": 255
},
{
"epoch": 0.86,
"learning_rate": 5.1e-06,
"loss": 4.1839,
"step": 256
},
{
"epoch": 0.86,
"learning_rate": 5.12e-06,
"loss": 4.3132,
"step": 257
},
{
"epoch": 0.87,
"learning_rate": 5.140000000000001e-06,
"loss": 4.1924,
"step": 258
},
{
"epoch": 0.87,
"learning_rate": 5.1600000000000006e-06,
"loss": 4.2292,
"step": 259
},
{
"epoch": 0.87,
"learning_rate": 5.18e-06,
"loss": 4.1601,
"step": 260
},
{
"epoch": 0.88,
"learning_rate": 5.2e-06,
"loss": 4.2462,
"step": 261
},
{
"epoch": 0.88,
"learning_rate": 5.220000000000001e-06,
"loss": 4.2751,
"step": 262
},
{
"epoch": 0.88,
"learning_rate": 5.240000000000001e-06,
"loss": 4.1491,
"step": 263
},
{
"epoch": 0.89,
"learning_rate": 5.2600000000000005e-06,
"loss": 4.1789,
"step": 264
},
{
"epoch": 0.89,
"learning_rate": 5.28e-06,
"loss": 4.2005,
"step": 265
},
{
"epoch": 0.89,
"learning_rate": 5.300000000000001e-06,
"loss": 4.2848,
"step": 266
},
{
"epoch": 0.9,
"learning_rate": 5.320000000000001e-06,
"loss": 4.2033,
"step": 267
},
{
"epoch": 0.9,
"learning_rate": 5.3400000000000005e-06,
"loss": 4.1712,
"step": 268
},
{
"epoch": 0.9,
"learning_rate": 5.36e-06,
"loss": 4.1393,
"step": 269
},
{
"epoch": 0.91,
"learning_rate": 5.380000000000001e-06,
"loss": 4.2643,
"step": 270
},
{
"epoch": 0.91,
"learning_rate": 5.400000000000001e-06,
"loss": 4.1311,
"step": 271
},
{
"epoch": 0.91,
"learning_rate": 5.420000000000001e-06,
"loss": 4.1079,
"step": 272
},
{
"epoch": 0.92,
"learning_rate": 5.4400000000000004e-06,
"loss": 4.1737,
"step": 273
},
{
"epoch": 0.92,
"learning_rate": 5.460000000000001e-06,
"loss": 4.1511,
"step": 274
},
{
"epoch": 0.92,
"learning_rate": 5.480000000000001e-06,
"loss": 4.2887,
"step": 275
},
{
"epoch": 0.93,
"learning_rate": 5.500000000000001e-06,
"loss": 4.2021,
"step": 276
},
{
"epoch": 0.93,
"learning_rate": 5.5200000000000005e-06,
"loss": 4.2165,
"step": 277
},
{
"epoch": 0.93,
"learning_rate": 5.540000000000001e-06,
"loss": 4.1548,
"step": 278
},
{
"epoch": 0.94,
"learning_rate": 5.560000000000001e-06,
"loss": 4.1858,
"step": 279
},
{
"epoch": 0.94,
"learning_rate": 5.580000000000001e-06,
"loss": 4.1686,
"step": 280
},
{
"epoch": 0.94,
"learning_rate": 5.600000000000001e-06,
"loss": 4.2015,
"step": 281
},
{
"epoch": 0.95,
"learning_rate": 5.620000000000001e-06,
"loss": 4.2042,
"step": 282
},
{
"epoch": 0.95,
"learning_rate": 5.64e-06,
"loss": 4.354,
"step": 283
},
{
"epoch": 0.96,
"learning_rate": 5.66e-06,
"loss": 4.1301,
"step": 284
},
{
"epoch": 0.96,
"learning_rate": 5.68e-06,
"loss": 4.2501,
"step": 285
},
{
"epoch": 0.96,
"learning_rate": 5.7e-06,
"loss": 4.2718,
"step": 286
},
{
"epoch": 0.97,
"learning_rate": 5.72e-06,
"loss": 4.1601,
"step": 287
},
{
"epoch": 0.97,
"learning_rate": 5.74e-06,
"loss": 4.2076,
"step": 288
},
{
"epoch": 0.97,
"learning_rate": 5.76e-06,
"loss": 4.2034,
"step": 289
},
{
"epoch": 0.98,
"learning_rate": 5.78e-06,
"loss": 4.2955,
"step": 290
},
{
"epoch": 0.98,
"learning_rate": 5.8e-06,
"loss": 4.2795,
"step": 291
},
{
"epoch": 0.98,
"learning_rate": 5.82e-06,
"loss": 4.3609,
"step": 292
},
{
"epoch": 0.99,
"learning_rate": 5.84e-06,
"loss": 4.3475,
"step": 293
},
{
"epoch": 0.99,
"learning_rate": 5.86e-06,
"loss": 4.5283,
"step": 294
},
{
"epoch": 0.99,
"learning_rate": 5.8800000000000005e-06,
"loss": 4.3274,
"step": 295
},
{
"epoch": 1.0,
"learning_rate": 5.9e-06,
"loss": 4.7073,
"step": 296
},
{
"epoch": 1.0,
"learning_rate": 5.92e-06,
"loss": 4.5598,
"step": 297
},
{
"epoch": 1.0,
"step": 297,
"total_flos": 0.0,
"train_loss": 4.439775107284186,
"train_runtime": 4778.2339,
"train_samples_per_second": 5.972,
"train_steps_per_second": 0.062
}
],
"max_steps": 297,
"num_train_epochs": 1,
"total_flos": 0.0,
"trial_name": null,
"trial_params": null
}