File size: 4,482 Bytes
6df69f6 b717780 6df69f6 b717780 6df69f6 b717780 6df69f6 b717780 6df69f6 b717780 6df69f6 b717780 da85f20 6df69f6 da85f20 b717780 6df69f6 b717780 6df69f6 b717780 6df69f6 b717780 6df69f6 b717780 6df69f6 b717780 6df69f6 da85f20 b717780 6df69f6 da85f20 6df69f6 b717780 6df69f6 b717780 6df69f6 da85f20 6df69f6 b717780 da85f20 6df69f6 b717780 6df69f6 b717780 6df69f6 b717780 6df69f6 b717780 6df69f6 b717780 6df69f6 b717780 6df69f6 b717780 6df69f6 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180 181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200 201 202 203 204 205 | {
"reproducibility": {
"seed": 42,
"dataset": "fancyzhx/ag_news",
"dataset_config": null,
"train_split": "train",
"eval_split": "test",
"text_column": "text",
"label_column": "label",
"max_train_samples": 3000,
"max_eval_samples": 600,
"note": "Train and eval rows are the first N after shuffle(seed) of each split; see texts/eval-reproducibility.md."
},
"metrics": {
"accuracy": 0.538333,
"macro_f1": 0.455368,
"weighted_f1": 0.452694,
"per_class_f1": {
"World": 0.536585,
"Sports": 0.730964,
"Business": 0.0,
"Sci/Tech": 0.553922
},
"confusion_matrix": [
[
66,
67,
0,
15
],
[
1,
144,
0,
2
],
[
12,
15,
0,
125
],
[
19,
21,
0,
113
]
],
"confusion_matrix_axis": "rows=true class, columns=predicted class",
"label_order": [
"World",
"Sports",
"Business",
"Sci/Tech"
]
},
"dataset_quality": {
"class_distribution": {
"train": {
"counts_by_label": {
"World": 771,
"Sports": 742,
"Business": 691,
"Sci/Tech": 796
},
"proportions_by_label": {
"World": 0.257,
"Sports": 0.247333,
"Business": 0.230333,
"Sci/Tech": 0.265333
},
"total": 3000
},
"eval": {
"counts_by_label": {
"World": 148,
"Sports": 147,
"Business": 152,
"Sci/Tech": 153
},
"proportions_by_label": {
"World": 0.246667,
"Sports": 0.245,
"Business": 0.253333,
"Sci/Tech": 0.255
},
"total": 600
}
}
},
"error_analysis": {
"top_confusions": [
{
"true_label": "Business",
"predicted_label": "Sci/Tech",
"count": 125
},
{
"true_label": "World",
"predicted_label": "Sports",
"count": 67
},
{
"true_label": "Sci/Tech",
"predicted_label": "Sports",
"count": 21
},
{
"true_label": "Sci/Tech",
"predicted_label": "World",
"count": 19
},
{
"true_label": "World",
"predicted_label": "Sci/Tech",
"count": 15
},
{
"true_label": "Business",
"predicted_label": "Sports",
"count": 15
},
{
"true_label": "Business",
"predicted_label": "World",
"count": 12
},
{
"true_label": "Sports",
"predicted_label": "Sci/Tech",
"count": 2
},
{
"true_label": "Sports",
"predicted_label": "World",
"count": 1
}
]
},
"calibration": {
"max_prob_histogram": {
"num_bins": 10,
"bins": [
{
"bin_low": 0.0,
"bin_high": 0.1,
"count": 0
},
{
"bin_low": 0.1,
"bin_high": 0.2,
"count": 0
},
{
"bin_low": 0.2,
"bin_high": 0.3,
"count": 1
},
{
"bin_low": 0.3,
"bin_high": 0.4,
"count": 27
},
{
"bin_low": 0.4,
"bin_high": 0.5,
"count": 156
},
{
"bin_low": 0.5,
"bin_high": 0.6,
"count": 237
},
{
"bin_low": 0.6,
"bin_high": 0.7,
"count": 171
},
{
"bin_low": 0.7,
"bin_high": 0.8,
"count": 8
},
{
"bin_low": 0.8,
"bin_high": 0.9,
"count": 0
},
{
"bin_low": 0.9,
"bin_high": 1.0,
"count": 0
}
],
"note": "Each eval example contributes one max softmax probability (winner class)."
}
},
"routing": {
"fallback_behavior": "At inference, if the maximum softmax probability is below `min_confidence`, treat the prediction as low-confidence: route to human review, a secondary model, or a safe default class\u2014choose per product.",
"min_confidence": null,
"comment": "`min_confidence` is not set by training; typical starting range is 0.5\u20130.7 for routing. Tune on a validation set using `max_prob` histogram and error analysis."
}
}
|