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- .gitattributes +29 -0
- Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/classification_reports.txt +513 -0
- Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/config.json +51 -0
- Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/loss.pdf +0 -0
- Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/model.safetensors +3 -0
- Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/model_params.json +7 -0
- Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/special_tokens_map.json +7 -0
- Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/stats.json +245 -0
- Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/tokenizer.json +0 -0
- Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/tokenizer_config.json +55 -0
- Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/vocab.txt +0 -0
- Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/classification_reports.txt +0 -0
- Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/config.json +131 -0
- Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/loss.pdf +0 -0
- Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/model.safetensors +3 -0
- Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/model_params.json +8 -0
- Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/special_tokens_map.json +7 -0
- Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/stats.json +380 -0
- Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/tokenizer.json +0 -0
- Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/tokenizer_config.json +55 -0
- Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/vocab.txt +0 -0
- Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/classification_reports.txt +0 -0
- Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/config.json +131 -0
- Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/loss.pdf +0 -0
- Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/model.safetensors +3 -0
- Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/model_params.json +8 -0
- Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/special_tokens_map.json +7 -0
- Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/stats.json +335 -0
- Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/tokenizer.json +0 -0
- Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/tokenizer_config.json +55 -0
- Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/vocab.txt +0 -0
- Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/classification_reports.txt +0 -0
- Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/config.json +131 -0
- Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/loss.pdf +0 -0
- Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/model.safetensors +3 -0
- Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/model_params.json +8 -0
- Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/special_tokens_map.json +7 -0
- Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/stats.json +416 -0
- Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/tokenizer.json +0 -0
- Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/tokenizer_config.json +55 -0
- Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/vocab.txt +0 -0
- Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/classification_reports.txt +1888 -0
- Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/config.json +131 -0
- Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/loss.pdf +0 -0
- Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/model.safetensors +3 -0
- Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/model_params.json +8 -0
- Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/special_tokens_map.json +7 -0
- Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/stats.json +290 -0
- Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/tokenizer.json +0 -0
- Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/tokenizer_config.json +55 -0
.gitattributes
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Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/classification_reports.txt
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|
| 1 |
+
> epoch: 0
|
| 2 |
+
precision recall f1-score support
|
| 3 |
+
|
| 4 |
+
0 0.00 0.00 0.00 13
|
| 5 |
+
1 0.00 0.00 0.00 10
|
| 6 |
+
2 0.00 0.00 0.00 8
|
| 7 |
+
3 0.00 0.00 0.00 25
|
| 8 |
+
4 0.00 0.00 0.00 18
|
| 9 |
+
5 0.00 0.00 0.00 14
|
| 10 |
+
6 0.00 0.00 0.00 10
|
| 11 |
+
7 0.00 0.00 0.00 8
|
| 12 |
+
8 0.00 0.00 0.00 32
|
| 13 |
+
9 0.00 0.00 0.00 47
|
| 14 |
+
|
| 15 |
+
micro avg 0.00 0.00 0.00 185
|
| 16 |
+
macro avg 0.00 0.00 0.00 185
|
| 17 |
+
weighted avg 0.00 0.00 0.00 185
|
| 18 |
+
samples avg 0.00 0.00 0.00 185
|
| 19 |
+
|
| 20 |
+
> epoch: 1
|
| 21 |
+
precision recall f1-score support
|
| 22 |
+
|
| 23 |
+
0 0.00 0.00 0.00 13
|
| 24 |
+
1 0.00 0.00 0.00 10
|
| 25 |
+
2 0.00 0.00 0.00 8
|
| 26 |
+
3 0.00 0.00 0.00 25
|
| 27 |
+
4 0.00 0.00 0.00 18
|
| 28 |
+
5 0.00 0.00 0.00 14
|
| 29 |
+
6 0.00 0.00 0.00 10
|
| 30 |
+
7 0.00 0.00 0.00 8
|
| 31 |
+
8 1.00 0.03 0.06 32
|
| 32 |
+
9 0.00 0.00 0.00 47
|
| 33 |
+
|
| 34 |
+
micro avg 1.00 0.01 0.01 185
|
| 35 |
+
macro avg 0.10 0.00 0.01 185
|
| 36 |
+
weighted avg 0.17 0.01 0.01 185
|
| 37 |
+
samples avg 0.00 0.00 0.00 185
|
| 38 |
+
|
| 39 |
+
> epoch: 2
|
| 40 |
+
precision recall f1-score support
|
| 41 |
+
|
| 42 |
+
0 0.00 0.00 0.00 13
|
| 43 |
+
1 0.00 0.00 0.00 10
|
| 44 |
+
2 0.00 0.00 0.00 8
|
| 45 |
+
3 0.60 0.24 0.34 25
|
| 46 |
+
4 0.00 0.00 0.00 18
|
| 47 |
+
5 0.00 0.00 0.00 14
|
| 48 |
+
6 0.00 0.00 0.00 10
|
| 49 |
+
7 0.00 0.00 0.00 8
|
| 50 |
+
8 0.89 0.78 0.83 32
|
| 51 |
+
9 0.73 0.81 0.77 47
|
| 52 |
+
|
| 53 |
+
micro avg 0.77 0.37 0.50 185
|
| 54 |
+
macro avg 0.22 0.18 0.19 185
|
| 55 |
+
weighted avg 0.42 0.37 0.39 185
|
| 56 |
+
samples avg 0.09 0.09 0.09 185
|
| 57 |
+
|
| 58 |
+
> epoch: 3
|
| 59 |
+
precision recall f1-score support
|
| 60 |
+
|
| 61 |
+
0 0.00 0.00 0.00 13
|
| 62 |
+
1 0.00 0.00 0.00 10
|
| 63 |
+
2 0.00 0.00 0.00 8
|
| 64 |
+
3 0.65 0.52 0.58 25
|
| 65 |
+
4 0.00 0.00 0.00 18
|
| 66 |
+
5 0.00 0.00 0.00 14
|
| 67 |
+
6 0.00 0.00 0.00 10
|
| 68 |
+
7 0.00 0.00 0.00 8
|
| 69 |
+
8 0.96 0.78 0.86 32
|
| 70 |
+
9 0.75 0.83 0.79 47
|
| 71 |
+
|
| 72 |
+
micro avg 0.79 0.42 0.54 185
|
| 73 |
+
macro avg 0.24 0.21 0.22 185
|
| 74 |
+
weighted avg 0.44 0.42 0.43 185
|
| 75 |
+
samples avg 0.10 0.10 0.10 185
|
| 76 |
+
|
| 77 |
+
> epoch: 4
|
| 78 |
+
precision recall f1-score support
|
| 79 |
+
|
| 80 |
+
0 0.00 0.00 0.00 13
|
| 81 |
+
1 0.00 0.00 0.00 10
|
| 82 |
+
2 0.00 0.00 0.00 8
|
| 83 |
+
3 0.62 0.72 0.67 25
|
| 84 |
+
4 0.50 0.06 0.10 18
|
| 85 |
+
5 0.75 0.21 0.33 14
|
| 86 |
+
6 0.80 0.40 0.53 10
|
| 87 |
+
7 0.00 0.00 0.00 8
|
| 88 |
+
8 0.96 0.75 0.84 32
|
| 89 |
+
9 0.73 0.77 0.75 47
|
| 90 |
+
|
| 91 |
+
micro avg 0.75 0.46 0.58 185
|
| 92 |
+
macro avg 0.44 0.29 0.32 185
|
| 93 |
+
weighted avg 0.59 0.46 0.49 185
|
| 94 |
+
samples avg 0.11 0.11 0.11 185
|
| 95 |
+
|
| 96 |
+
> epoch: 5
|
| 97 |
+
precision recall f1-score support
|
| 98 |
+
|
| 99 |
+
0 1.00 0.15 0.27 13
|
| 100 |
+
1 0.00 0.00 0.00 10
|
| 101 |
+
2 0.00 0.00 0.00 8
|
| 102 |
+
3 0.62 0.72 0.67 25
|
| 103 |
+
4 0.50 0.06 0.10 18
|
| 104 |
+
5 0.64 0.50 0.56 14
|
| 105 |
+
6 0.70 0.70 0.70 10
|
| 106 |
+
7 0.00 0.00 0.00 8
|
| 107 |
+
8 0.96 0.84 0.90 32
|
| 108 |
+
9 0.79 0.79 0.79 47
|
| 109 |
+
|
| 110 |
+
micro avg 0.77 0.54 0.63 185
|
| 111 |
+
macro avg 0.52 0.38 0.40 185
|
| 112 |
+
weighted avg 0.66 0.54 0.55 185
|
| 113 |
+
samples avg 0.13 0.13 0.13 185
|
| 114 |
+
|
| 115 |
+
> epoch: 6
|
| 116 |
+
precision recall f1-score support
|
| 117 |
+
|
| 118 |
+
0 0.67 0.15 0.25 13
|
| 119 |
+
1 0.00 0.00 0.00 10
|
| 120 |
+
2 0.00 0.00 0.00 8
|
| 121 |
+
3 0.59 0.68 0.63 25
|
| 122 |
+
4 0.57 0.22 0.32 18
|
| 123 |
+
5 0.54 0.50 0.52 14
|
| 124 |
+
6 0.62 0.50 0.56 10
|
| 125 |
+
7 0.00 0.00 0.00 8
|
| 126 |
+
8 0.90 0.84 0.87 32
|
| 127 |
+
9 0.79 0.70 0.74 47
|
| 128 |
+
|
| 129 |
+
micro avg 0.72 0.51 0.60 185
|
| 130 |
+
macro avg 0.47 0.36 0.39 185
|
| 131 |
+
weighted avg 0.61 0.51 0.54 185
|
| 132 |
+
samples avg 0.13 0.12 0.12 185
|
| 133 |
+
|
| 134 |
+
> epoch: 7
|
| 135 |
+
precision recall f1-score support
|
| 136 |
+
|
| 137 |
+
0 0.33 0.08 0.12 13
|
| 138 |
+
1 0.00 0.00 0.00 10
|
| 139 |
+
2 1.00 0.12 0.22 8
|
| 140 |
+
3 0.68 0.68 0.68 25
|
| 141 |
+
4 0.67 0.11 0.19 18
|
| 142 |
+
5 0.60 0.43 0.50 14
|
| 143 |
+
6 0.71 0.50 0.59 10
|
| 144 |
+
7 0.67 0.50 0.57 8
|
| 145 |
+
8 1.00 0.78 0.88 32
|
| 146 |
+
9 0.80 0.70 0.75 47
|
| 147 |
+
|
| 148 |
+
micro avg 0.76 0.51 0.61 185
|
| 149 |
+
macro avg 0.65 0.39 0.45 185
|
| 150 |
+
weighted avg 0.71 0.51 0.57 185
|
| 151 |
+
samples avg 0.13 0.12 0.12 185
|
| 152 |
+
|
| 153 |
+
> epoch: 8
|
| 154 |
+
precision recall f1-score support
|
| 155 |
+
|
| 156 |
+
0 0.44 0.31 0.36 13
|
| 157 |
+
1 0.50 0.70 0.58 10
|
| 158 |
+
2 1.00 0.62 0.77 8
|
| 159 |
+
3 0.62 0.80 0.70 25
|
| 160 |
+
4 0.62 0.44 0.52 18
|
| 161 |
+
5 0.41 0.64 0.50 14
|
| 162 |
+
6 0.73 0.80 0.76 10
|
| 163 |
+
7 0.54 0.88 0.67 8
|
| 164 |
+
8 0.90 0.88 0.89 32
|
| 165 |
+
9 0.76 0.81 0.78 47
|
| 166 |
+
|
| 167 |
+
micro avg 0.67 0.72 0.70 185
|
| 168 |
+
macro avg 0.65 0.69 0.65 185
|
| 169 |
+
weighted avg 0.69 0.72 0.70 185
|
| 170 |
+
samples avg 0.18 0.17 0.17 185
|
| 171 |
+
|
| 172 |
+
> epoch: 9
|
| 173 |
+
precision recall f1-score support
|
| 174 |
+
|
| 175 |
+
0 0.42 0.38 0.40 13
|
| 176 |
+
1 0.60 0.30 0.40 10
|
| 177 |
+
2 1.00 0.75 0.86 8
|
| 178 |
+
3 0.59 0.80 0.68 25
|
| 179 |
+
4 0.55 0.33 0.41 18
|
| 180 |
+
5 0.62 0.36 0.45 14
|
| 181 |
+
6 0.67 0.60 0.63 10
|
| 182 |
+
7 0.83 0.62 0.71 8
|
| 183 |
+
8 0.93 0.88 0.90 32
|
| 184 |
+
9 0.76 0.68 0.72 47
|
| 185 |
+
|
| 186 |
+
micro avg 0.71 0.63 0.67 185
|
| 187 |
+
macro avg 0.70 0.57 0.62 185
|
| 188 |
+
weighted avg 0.71 0.63 0.66 185
|
| 189 |
+
samples avg 0.15 0.15 0.15 185
|
| 190 |
+
|
| 191 |
+
> epoch: 10
|
| 192 |
+
precision recall f1-score support
|
| 193 |
+
|
| 194 |
+
0 0.47 0.62 0.53 13
|
| 195 |
+
1 0.57 0.40 0.47 10
|
| 196 |
+
2 1.00 0.75 0.86 8
|
| 197 |
+
3 0.56 0.80 0.66 25
|
| 198 |
+
4 0.60 0.33 0.43 18
|
| 199 |
+
5 0.44 0.50 0.47 14
|
| 200 |
+
6 0.60 0.60 0.60 10
|
| 201 |
+
7 0.83 0.62 0.71 8
|
| 202 |
+
8 0.93 0.88 0.90 32
|
| 203 |
+
9 0.77 0.79 0.78 47
|
| 204 |
+
|
| 205 |
+
micro avg 0.68 0.69 0.68 185
|
| 206 |
+
macro avg 0.68 0.63 0.64 185
|
| 207 |
+
weighted avg 0.70 0.69 0.68 185
|
| 208 |
+
samples avg 0.17 0.16 0.16 185
|
| 209 |
+
|
| 210 |
+
> epoch: 11
|
| 211 |
+
precision recall f1-score support
|
| 212 |
+
|
| 213 |
+
0 0.40 0.31 0.35 13
|
| 214 |
+
1 0.43 0.30 0.35 10
|
| 215 |
+
2 0.78 0.88 0.82 8
|
| 216 |
+
3 0.59 0.80 0.68 25
|
| 217 |
+
4 0.67 0.33 0.44 18
|
| 218 |
+
5 0.64 0.50 0.56 14
|
| 219 |
+
6 0.70 0.70 0.70 10
|
| 220 |
+
7 0.64 0.88 0.74 8
|
| 221 |
+
8 0.96 0.84 0.90 32
|
| 222 |
+
9 0.76 0.74 0.75 47
|
| 223 |
+
|
| 224 |
+
micro avg 0.70 0.66 0.68 185
|
| 225 |
+
macro avg 0.66 0.63 0.63 185
|
| 226 |
+
weighted avg 0.70 0.66 0.67 185
|
| 227 |
+
samples avg 0.16 0.16 0.16 185
|
| 228 |
+
|
| 229 |
+
> epoch: 12
|
| 230 |
+
precision recall f1-score support
|
| 231 |
+
|
| 232 |
+
0 0.50 0.38 0.43 13
|
| 233 |
+
1 0.55 0.60 0.57 10
|
| 234 |
+
2 1.00 0.75 0.86 8
|
| 235 |
+
3 0.54 0.80 0.65 25
|
| 236 |
+
4 0.58 0.39 0.47 18
|
| 237 |
+
5 0.53 0.57 0.55 14
|
| 238 |
+
6 0.73 0.80 0.76 10
|
| 239 |
+
7 0.71 0.62 0.67 8
|
| 240 |
+
8 0.90 0.88 0.89 32
|
| 241 |
+
9 0.67 0.89 0.76 47
|
| 242 |
+
|
| 243 |
+
micro avg 0.67 0.73 0.70 185
|
| 244 |
+
macro avg 0.67 0.67 0.66 185
|
| 245 |
+
weighted avg 0.67 0.73 0.69 185
|
| 246 |
+
samples avg 0.18 0.17 0.17 185
|
| 247 |
+
|
| 248 |
+
> epoch: 13
|
| 249 |
+
precision recall f1-score support
|
| 250 |
+
|
| 251 |
+
0 0.35 0.54 0.42 13
|
| 252 |
+
1 0.50 0.60 0.55 10
|
| 253 |
+
2 1.00 0.88 0.93 8
|
| 254 |
+
3 0.59 0.80 0.68 25
|
| 255 |
+
4 0.62 0.44 0.52 18
|
| 256 |
+
5 0.38 0.64 0.47 14
|
| 257 |
+
6 0.64 0.70 0.67 10
|
| 258 |
+
7 0.67 0.50 0.57 8
|
| 259 |
+
8 0.93 0.88 0.90 32
|
| 260 |
+
9 0.74 0.83 0.78 47
|
| 261 |
+
|
| 262 |
+
micro avg 0.64 0.73 0.68 185
|
| 263 |
+
macro avg 0.64 0.68 0.65 185
|
| 264 |
+
weighted avg 0.67 0.73 0.69 185
|
| 265 |
+
samples avg 0.17 0.17 0.17 185
|
| 266 |
+
|
| 267 |
+
> epoch: 14
|
| 268 |
+
precision recall f1-score support
|
| 269 |
+
|
| 270 |
+
0 0.44 0.54 0.48 13
|
| 271 |
+
1 0.42 0.50 0.45 10
|
| 272 |
+
2 1.00 0.88 0.93 8
|
| 273 |
+
3 0.62 0.80 0.70 25
|
| 274 |
+
4 0.56 0.28 0.37 18
|
| 275 |
+
5 0.53 0.57 0.55 14
|
| 276 |
+
6 0.67 0.60 0.63 10
|
| 277 |
+
7 0.67 0.50 0.57 8
|
| 278 |
+
8 0.97 0.88 0.92 32
|
| 279 |
+
9 0.75 0.77 0.76 47
|
| 280 |
+
|
| 281 |
+
micro avg 0.69 0.68 0.68 185
|
| 282 |
+
macro avg 0.66 0.63 0.64 185
|
| 283 |
+
weighted avg 0.70 0.68 0.68 185
|
| 284 |
+
samples avg 0.17 0.16 0.16 185
|
| 285 |
+
|
| 286 |
+
> epoch: 15
|
| 287 |
+
precision recall f1-score support
|
| 288 |
+
|
| 289 |
+
0 0.36 0.62 0.46 13
|
| 290 |
+
1 0.50 0.40 0.44 10
|
| 291 |
+
2 1.00 0.88 0.93 8
|
| 292 |
+
3 0.64 0.84 0.72 25
|
| 293 |
+
4 0.88 0.39 0.54 18
|
| 294 |
+
5 0.64 0.50 0.56 14
|
| 295 |
+
6 0.57 0.40 0.47 10
|
| 296 |
+
7 0.67 0.50 0.57 8
|
| 297 |
+
8 0.97 0.88 0.92 32
|
| 298 |
+
9 0.74 0.74 0.74 47
|
| 299 |
+
|
| 300 |
+
micro avg 0.70 0.68 0.69 185
|
| 301 |
+
macro avg 0.70 0.61 0.64 185
|
| 302 |
+
weighted avg 0.73 0.68 0.69 185
|
| 303 |
+
samples avg 0.16 0.16 0.16 185
|
| 304 |
+
|
| 305 |
+
> epoch: 16
|
| 306 |
+
precision recall f1-score support
|
| 307 |
+
|
| 308 |
+
0 0.58 0.54 0.56 13
|
| 309 |
+
1 0.40 0.20 0.27 10
|
| 310 |
+
2 1.00 0.88 0.93 8
|
| 311 |
+
3 0.61 0.80 0.69 25
|
| 312 |
+
4 0.60 0.33 0.43 18
|
| 313 |
+
5 0.54 0.50 0.52 14
|
| 314 |
+
6 0.62 0.50 0.56 10
|
| 315 |
+
7 0.71 0.62 0.67 8
|
| 316 |
+
8 0.90 0.88 0.89 32
|
| 317 |
+
9 0.69 0.89 0.78 47
|
| 318 |
+
|
| 319 |
+
micro avg 0.69 0.70 0.69 185
|
| 320 |
+
macro avg 0.67 0.61 0.63 185
|
| 321 |
+
weighted avg 0.68 0.70 0.68 185
|
| 322 |
+
samples avg 0.17 0.17 0.17 185
|
| 323 |
+
|
| 324 |
+
> epoch: 17
|
| 325 |
+
precision recall f1-score support
|
| 326 |
+
|
| 327 |
+
0 0.50 0.23 0.32 13
|
| 328 |
+
1 0.62 0.50 0.56 10
|
| 329 |
+
2 0.78 0.88 0.82 8
|
| 330 |
+
3 0.60 0.84 0.70 25
|
| 331 |
+
4 0.78 0.39 0.52 18
|
| 332 |
+
5 0.54 0.50 0.52 14
|
| 333 |
+
6 0.57 0.40 0.47 10
|
| 334 |
+
7 0.00 0.00 0.00 8
|
| 335 |
+
8 0.96 0.84 0.90 32
|
| 336 |
+
9 0.74 0.83 0.78 47
|
| 337 |
+
|
| 338 |
+
micro avg 0.71 0.65 0.68 185
|
| 339 |
+
macro avg 0.61 0.54 0.56 185
|
| 340 |
+
weighted avg 0.68 0.65 0.65 185
|
| 341 |
+
samples avg 0.16 0.15 0.15 185
|
| 342 |
+
|
| 343 |
+
> epoch: 18
|
| 344 |
+
precision recall f1-score support
|
| 345 |
+
|
| 346 |
+
0 0.42 0.62 0.50 13
|
| 347 |
+
1 0.50 0.60 0.55 10
|
| 348 |
+
2 0.78 0.88 0.82 8
|
| 349 |
+
3 0.57 0.84 0.68 25
|
| 350 |
+
4 0.67 0.44 0.53 18
|
| 351 |
+
5 0.45 0.64 0.53 14
|
| 352 |
+
6 0.62 0.80 0.70 10
|
| 353 |
+
7 0.67 0.75 0.71 8
|
| 354 |
+
8 0.93 0.84 0.89 32
|
| 355 |
+
9 0.69 0.81 0.75 47
|
| 356 |
+
|
| 357 |
+
micro avg 0.64 0.75 0.69 185
|
| 358 |
+
macro avg 0.63 0.72 0.66 185
|
| 359 |
+
weighted avg 0.66 0.75 0.69 185
|
| 360 |
+
samples avg 0.18 0.17 0.17 185
|
| 361 |
+
|
| 362 |
+
> epoch: 19
|
| 363 |
+
precision recall f1-score support
|
| 364 |
+
|
| 365 |
+
0 0.60 0.46 0.52 13
|
| 366 |
+
1 0.43 0.60 0.50 10
|
| 367 |
+
2 0.86 0.75 0.80 8
|
| 368 |
+
3 0.58 0.76 0.66 25
|
| 369 |
+
4 0.53 0.44 0.48 18
|
| 370 |
+
5 0.46 0.79 0.58 14
|
| 371 |
+
6 0.70 0.70 0.70 10
|
| 372 |
+
7 0.55 0.75 0.63 8
|
| 373 |
+
8 0.88 0.88 0.88 32
|
| 374 |
+
9 0.69 0.85 0.76 47
|
| 375 |
+
|
| 376 |
+
micro avg 0.64 0.74 0.69 185
|
| 377 |
+
macro avg 0.63 0.70 0.65 185
|
| 378 |
+
weighted avg 0.65 0.74 0.69 185
|
| 379 |
+
samples avg 0.18 0.17 0.17 185
|
| 380 |
+
|
| 381 |
+
> epoch: 20
|
| 382 |
+
precision recall f1-score support
|
| 383 |
+
|
| 384 |
+
0 0.50 0.23 0.32 13
|
| 385 |
+
1 0.67 0.60 0.63 10
|
| 386 |
+
2 1.00 0.88 0.93 8
|
| 387 |
+
3 0.59 0.76 0.67 25
|
| 388 |
+
4 0.54 0.39 0.45 18
|
| 389 |
+
5 0.50 0.64 0.56 14
|
| 390 |
+
6 0.55 0.60 0.57 10
|
| 391 |
+
7 0.71 0.62 0.67 8
|
| 392 |
+
8 0.85 0.88 0.86 32
|
| 393 |
+
9 0.77 0.85 0.81 47
|
| 394 |
+
|
| 395 |
+
micro avg 0.69 0.70 0.70 185
|
| 396 |
+
macro avg 0.67 0.64 0.65 185
|
| 397 |
+
weighted avg 0.69 0.70 0.69 185
|
| 398 |
+
samples avg 0.17 0.17 0.16 185
|
| 399 |
+
|
| 400 |
+
> epoch: 21
|
| 401 |
+
precision recall f1-score support
|
| 402 |
+
|
| 403 |
+
0 0.40 0.46 0.43 13
|
| 404 |
+
1 0.62 0.50 0.56 10
|
| 405 |
+
2 1.00 0.88 0.93 8
|
| 406 |
+
3 0.56 0.76 0.64 25
|
| 407 |
+
4 0.57 0.44 0.50 18
|
| 408 |
+
5 0.50 0.50 0.50 14
|
| 409 |
+
6 0.50 0.40 0.44 10
|
| 410 |
+
7 0.71 0.62 0.67 8
|
| 411 |
+
8 0.90 0.81 0.85 32
|
| 412 |
+
9 0.80 0.83 0.81 47
|
| 413 |
+
|
| 414 |
+
micro avg 0.68 0.68 0.68 185
|
| 415 |
+
macro avg 0.66 0.62 0.63 185
|
| 416 |
+
weighted avg 0.69 0.68 0.68 185
|
| 417 |
+
samples avg 0.16 0.16 0.16 185
|
| 418 |
+
|
| 419 |
+
> epoch: 22
|
| 420 |
+
precision recall f1-score support
|
| 421 |
+
|
| 422 |
+
0 0.40 0.46 0.43 13
|
| 423 |
+
1 0.62 0.50 0.56 10
|
| 424 |
+
2 1.00 0.88 0.93 8
|
| 425 |
+
3 0.59 0.76 0.67 25
|
| 426 |
+
4 0.57 0.44 0.50 18
|
| 427 |
+
5 0.58 0.50 0.54 14
|
| 428 |
+
6 0.56 0.50 0.53 10
|
| 429 |
+
7 0.71 0.62 0.67 8
|
| 430 |
+
8 0.93 0.81 0.87 32
|
| 431 |
+
9 0.75 0.85 0.80 47
|
| 432 |
+
|
| 433 |
+
micro avg 0.69 0.69 0.69 185
|
| 434 |
+
macro avg 0.67 0.63 0.65 185
|
| 435 |
+
weighted avg 0.70 0.69 0.69 185
|
| 436 |
+
samples avg 0.17 0.16 0.16 185
|
| 437 |
+
|
| 438 |
+
> epoch: 23
|
| 439 |
+
precision recall f1-score support
|
| 440 |
+
|
| 441 |
+
0 0.40 0.46 0.43 13
|
| 442 |
+
1 0.62 0.50 0.56 10
|
| 443 |
+
2 1.00 0.88 0.93 8
|
| 444 |
+
3 0.58 0.76 0.66 25
|
| 445 |
+
4 0.57 0.44 0.50 18
|
| 446 |
+
5 0.62 0.57 0.59 14
|
| 447 |
+
6 0.60 0.60 0.60 10
|
| 448 |
+
7 0.71 0.62 0.67 8
|
| 449 |
+
8 0.90 0.81 0.85 32
|
| 450 |
+
9 0.73 0.85 0.78 47
|
| 451 |
+
|
| 452 |
+
micro avg 0.68 0.70 0.69 185
|
| 453 |
+
macro avg 0.67 0.65 0.66 185
|
| 454 |
+
weighted avg 0.69 0.70 0.69 185
|
| 455 |
+
samples avg 0.17 0.17 0.17 185
|
| 456 |
+
|
| 457 |
+
> epoch: 24
|
| 458 |
+
precision recall f1-score support
|
| 459 |
+
|
| 460 |
+
0 0.44 0.54 0.48 13
|
| 461 |
+
1 0.60 0.60 0.60 10
|
| 462 |
+
2 1.00 0.88 0.93 8
|
| 463 |
+
3 0.61 0.76 0.68 25
|
| 464 |
+
4 0.50 0.44 0.47 18
|
| 465 |
+
5 0.57 0.57 0.57 14
|
| 466 |
+
6 0.60 0.60 0.60 10
|
| 467 |
+
7 0.62 0.62 0.62 8
|
| 468 |
+
8 0.87 0.81 0.84 32
|
| 469 |
+
9 0.62 0.87 0.73 47
|
| 470 |
+
|
| 471 |
+
micro avg 0.64 0.72 0.68 185
|
| 472 |
+
macro avg 0.64 0.67 0.65 185
|
| 473 |
+
weighted avg 0.65 0.72 0.68 185
|
| 474 |
+
samples avg 0.17 0.17 0.17 185
|
| 475 |
+
|
| 476 |
+
> epoch: 25
|
| 477 |
+
precision recall f1-score support
|
| 478 |
+
|
| 479 |
+
0 0.45 0.38 0.42 13
|
| 480 |
+
1 0.62 0.50 0.56 10
|
| 481 |
+
2 1.00 0.88 0.93 8
|
| 482 |
+
3 0.61 0.76 0.68 25
|
| 483 |
+
4 0.67 0.22 0.33 18
|
| 484 |
+
5 0.46 0.43 0.44 14
|
| 485 |
+
6 0.64 0.70 0.67 10
|
| 486 |
+
7 0.78 0.88 0.82 8
|
| 487 |
+
8 0.90 0.88 0.89 32
|
| 488 |
+
9 0.73 0.70 0.72 47
|
| 489 |
+
|
| 490 |
+
micro avg 0.70 0.65 0.68 185
|
| 491 |
+
macro avg 0.69 0.63 0.65 185
|
| 492 |
+
weighted avg 0.70 0.65 0.67 185
|
| 493 |
+
samples avg 0.16 0.15 0.15 185
|
| 494 |
+
|
| 495 |
+
> epoch: 26
|
| 496 |
+
precision recall f1-score support
|
| 497 |
+
|
| 498 |
+
0 0.38 0.46 0.41 13
|
| 499 |
+
1 0.62 0.50 0.56 10
|
| 500 |
+
2 1.00 0.88 0.93 8
|
| 501 |
+
3 0.54 0.76 0.63 25
|
| 502 |
+
4 0.86 0.33 0.48 18
|
| 503 |
+
5 0.67 0.43 0.52 14
|
| 504 |
+
6 0.70 0.70 0.70 10
|
| 505 |
+
7 0.67 0.75 0.71 8
|
| 506 |
+
8 0.90 0.88 0.89 32
|
| 507 |
+
9 0.71 0.83 0.76 47
|
| 508 |
+
|
| 509 |
+
micro avg 0.69 0.70 0.69 185
|
| 510 |
+
macro avg 0.70 0.65 0.66 185
|
| 511 |
+
weighted avg 0.71 0.70 0.69 185
|
| 512 |
+
samples avg 0.17 0.17 0.17 185
|
| 513 |
+
|
Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/config.json
ADDED
|
@@ -0,0 +1,51 @@
|
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|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "bert-base-uncased",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"BertForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"classifier_dropout": null,
|
| 8 |
+
"gradient_checkpointing": false,
|
| 9 |
+
"hidden_act": "gelu",
|
| 10 |
+
"hidden_dropout_prob": 0.1,
|
| 11 |
+
"hidden_size": 768,
|
| 12 |
+
"id2label": {
|
| 13 |
+
"0": "T1027",
|
| 14 |
+
"1": "T1041",
|
| 15 |
+
"2": "T1056",
|
| 16 |
+
"3": "T1059",
|
| 17 |
+
"4": "T1071",
|
| 18 |
+
"5": "T1105",
|
| 19 |
+
"6": "T1140",
|
| 20 |
+
"7": "T1190",
|
| 21 |
+
"8": "T1486",
|
| 22 |
+
"9": "T1566"
|
| 23 |
+
},
|
| 24 |
+
"initializer_range": 0.02,
|
| 25 |
+
"intermediate_size": 3072,
|
| 26 |
+
"label2id": {
|
| 27 |
+
"T1027": 0,
|
| 28 |
+
"T1041": 1,
|
| 29 |
+
"T1056": 2,
|
| 30 |
+
"T1059": 3,
|
| 31 |
+
"T1071": 4,
|
| 32 |
+
"T1105": 5,
|
| 33 |
+
"T1140": 6,
|
| 34 |
+
"T1190": 7,
|
| 35 |
+
"T1486": 8,
|
| 36 |
+
"T1566": 9
|
| 37 |
+
},
|
| 38 |
+
"layer_norm_eps": 1e-12,
|
| 39 |
+
"max_position_embeddings": 512,
|
| 40 |
+
"model_type": "bert",
|
| 41 |
+
"num_attention_heads": 12,
|
| 42 |
+
"num_hidden_layers": 12,
|
| 43 |
+
"pad_token_id": 0,
|
| 44 |
+
"position_embedding_type": "absolute",
|
| 45 |
+
"problem_type": "multi_label_classification",
|
| 46 |
+
"torch_dtype": "float32",
|
| 47 |
+
"transformers_version": "4.45.2",
|
| 48 |
+
"type_vocab_size": 2,
|
| 49 |
+
"use_cache": true,
|
| 50 |
+
"vocab_size": 30522
|
| 51 |
+
}
|
Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/loss.pdf
ADDED
|
Binary file (15.4 kB). View file
|
|
|
Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:d455bad4728cc318eae98c8acb04160ac530ae52d14135701382f23d81904152
|
| 3 |
+
size 437983256
|
Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/model_params.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
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|
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|
|
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|
| 1 |
+
{
|
| 2 |
+
"epochs": 100,
|
| 3 |
+
"batch_size": 16,
|
| 4 |
+
"freeze_layers": 0,
|
| 5 |
+
"learning_rate": 2e-05,
|
| 6 |
+
"pos_weight": 0
|
| 7 |
+
}
|
Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
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|
| 1 |
+
{
|
| 2 |
+
"cls_token": "[CLS]",
|
| 3 |
+
"mask_token": "[MASK]",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"sep_token": "[SEP]",
|
| 6 |
+
"unk_token": "[UNK]"
|
| 7 |
+
}
|
Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/stats.json
ADDED
|
@@ -0,0 +1,245 @@
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|
| 1 |
+
[
|
| 2 |
+
{
|
| 3 |
+
"epoch": 1,
|
| 4 |
+
"Training Loss": 0.21524116381212502,
|
| 5 |
+
"Valid. Loss": 0.116888977975949,
|
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Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/tokenizer.json
ADDED
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Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/tokenizer_config.json
ADDED
|
@@ -0,0 +1,55 @@
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|
| 1 |
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{
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| 3 |
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| 4 |
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| 5 |
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| 6 |
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|
| 7 |
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|
| 10 |
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| 11 |
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| 12 |
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|
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|
| 14 |
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|
| 15 |
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|
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
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|
| 25 |
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|
| 26 |
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| 27 |
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| 28 |
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| 29 |
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|
| 30 |
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|
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|
| 32 |
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|
| 33 |
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"special": true
|
| 34 |
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},
|
| 35 |
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"103": {
|
| 36 |
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"content": "[MASK]",
|
| 37 |
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|
| 38 |
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"normalized": false,
|
| 39 |
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"rstrip": false,
|
| 40 |
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"single_word": false,
|
| 41 |
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"special": true
|
| 42 |
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}
|
| 43 |
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},
|
| 44 |
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|
| 45 |
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"cls_token": "[CLS]",
|
| 46 |
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"do_lower_case": true,
|
| 47 |
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"mask_token": "[MASK]",
|
| 48 |
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|
| 49 |
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"pad_token": "[PAD]",
|
| 50 |
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"sep_token": "[SEP]",
|
| 51 |
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|
| 52 |
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|
| 53 |
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"tokenizer_class": "BertTokenizer",
|
| 54 |
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"unk_token": "[UNK]"
|
| 55 |
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}
|
Classification/bosch_swipe/0_bosch_t10_bert-base-uncased/vocab.txt
ADDED
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Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/classification_reports.txt
ADDED
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Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/config.json
ADDED
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@@ -0,0 +1,131 @@
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|
|
| 1 |
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{
|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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| 6 |
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|
| 7 |
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|
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|
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| 62 |
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|
| 63 |
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|
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|
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|
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|
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|
| 117 |
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|
| 119 |
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|
| 120 |
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|
| 121 |
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|
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|
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|
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|
| 126 |
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|
| 127 |
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|
| 128 |
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|
| 129 |
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|
| 130 |
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| 131 |
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|
Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/loss.pdf
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Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/model.safetensors
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|
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Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/model_params.json
ADDED
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| 1 |
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|
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|
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|
Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
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|
| 1 |
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|
| 2 |
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|
| 3 |
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|
| 4 |
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|
| 5 |
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|
| 6 |
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"unk_token": "[UNK]"
|
| 7 |
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|
Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/stats.json
ADDED
|
@@ -0,0 +1,380 @@
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| 1 |
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[
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| 2 |
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{
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| 4 |
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Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/tokenizer.json
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Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/tokenizer_config.json
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|
|
| 1 |
+
{
|
| 2 |
+
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|
| 3 |
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"0": {
|
| 4 |
+
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|
| 5 |
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|
| 6 |
+
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|
| 7 |
+
"rstrip": false,
|
| 8 |
+
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|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
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"100": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"101": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
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|
| 22 |
+
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|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"102": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"103": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": false,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_lower_case": true,
|
| 47 |
+
"mask_token": "[MASK]",
|
| 48 |
+
"model_max_length": 512,
|
| 49 |
+
"pad_token": "[PAD]",
|
| 50 |
+
"sep_token": "[SEP]",
|
| 51 |
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"strip_accents": null,
|
| 52 |
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"tokenize_chinese_chars": true,
|
| 53 |
+
"tokenizer_class": "BertTokenizer",
|
| 54 |
+
"unk_token": "[UNK]"
|
| 55 |
+
}
|
Classification/bosch_swipe/1000_bosch_t50_bert-base-uncased/vocab.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/classification_reports.txt
ADDED
|
The diff for this file is too large to render.
See raw diff
|
|
|
Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/config.json
ADDED
|
@@ -0,0 +1,131 @@
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|
| 1 |
+
{
|
| 2 |
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"_name_or_path": "bert-base-uncased",
|
| 3 |
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"architectures": [
|
| 4 |
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"BertForSequenceClassification"
|
| 5 |
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],
|
| 6 |
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|
| 7 |
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|
| 8 |
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|
| 9 |
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|
| 10 |
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|
| 11 |
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|
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| 24 |
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| 25 |
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| 26 |
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| 27 |
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| 28 |
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| 29 |
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| 30 |
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|
| 31 |
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|
| 32 |
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| 33 |
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| 35 |
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| 36 |
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"23": "T1132",
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| 37 |
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"24": "T1137",
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| 38 |
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| 39 |
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| 48 |
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| 49 |
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"36": "T1528",
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| 50 |
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"37": "T1539",
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| 51 |
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"38": "T1543",
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| 52 |
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"39": "T1547",
|
| 53 |
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"40": "T1555",
|
| 54 |
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"41": "T1557",
|
| 55 |
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"42": "T1562",
|
| 56 |
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"43": "T1566",
|
| 57 |
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"44": "T1571",
|
| 58 |
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"45": "T1573",
|
| 59 |
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"46": "T1583",
|
| 60 |
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"47": "T1587",
|
| 61 |
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"48": "T1589",
|
| 62 |
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"49": "T1606"
|
| 63 |
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},
|
| 64 |
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|
| 65 |
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"intermediate_size": 3072,
|
| 66 |
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|
| 67 |
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|
| 68 |
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|
| 69 |
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|
| 70 |
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|
| 71 |
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|
| 72 |
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|
| 73 |
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|
| 74 |
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|
| 75 |
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|
| 76 |
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|
| 77 |
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|
| 78 |
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|
| 79 |
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|
| 80 |
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|
| 81 |
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|
| 82 |
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| 83 |
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|
| 84 |
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|
| 85 |
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|
| 86 |
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|
| 87 |
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|
| 88 |
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|
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|
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|
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|
| 92 |
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|
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|
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|
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|
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
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|
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|
| 104 |
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|
| 105 |
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|
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|
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| 109 |
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|
| 110 |
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|
| 111 |
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|
| 112 |
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|
| 113 |
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|
| 114 |
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|
| 115 |
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|
| 116 |
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"T1606": 49
|
| 117 |
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},
|
| 118 |
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|
| 119 |
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|
| 120 |
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"model_type": "bert",
|
| 121 |
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|
| 122 |
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"num_hidden_layers": 12,
|
| 123 |
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"pad_token_id": 0,
|
| 124 |
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"position_embedding_type": "absolute",
|
| 125 |
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"problem_type": "multi_label_classification",
|
| 126 |
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"torch_dtype": "float32",
|
| 127 |
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"transformers_version": "4.45.2",
|
| 128 |
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"type_vocab_size": 2,
|
| 129 |
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"use_cache": true,
|
| 130 |
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"vocab_size": 30522
|
| 131 |
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}
|
Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/loss.pdf
ADDED
|
Binary file (15.8 kB). View file
|
|
|
Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 3 |
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size 438106296
|
Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/model_params.json
ADDED
|
@@ -0,0 +1,8 @@
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|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
{
|
| 2 |
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"epochs": 100,
|
| 3 |
+
"batch_size": 16,
|
| 4 |
+
"freeze_layers": 0,
|
| 5 |
+
"learning_rate": 2e-05,
|
| 6 |
+
"pos_weight": 20,
|
| 7 |
+
"end_factor": 0.7
|
| 8 |
+
}
|
Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
|
|
|
|
|
|
|
|
|
|
|
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|
|
|
|
|
|
|
|
|
|
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|
|
| 1 |
+
{
|
| 2 |
+
"cls_token": "[CLS]",
|
| 3 |
+
"mask_token": "[MASK]",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"sep_token": "[SEP]",
|
| 6 |
+
"unk_token": "[UNK]"
|
| 7 |
+
}
|
Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/stats.json
ADDED
|
@@ -0,0 +1,335 @@
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|
|
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|
|
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"Training Loss": 0.013152264201455465,
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"Valid. Loss": 0.16880043273960244,
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| 307 |
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| 308 |
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{
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| 309 |
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| 310 |
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| 316 |
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| 317 |
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{
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| 318 |
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|
| 319 |
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| 324 |
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"Validation Time": "0:00:05"
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| 325 |
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|
| 326 |
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{
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| 327 |
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"epoch": 37,
|
| 328 |
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| 329 |
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"Validation Time": "0:00:05"
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| 334 |
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|
| 335 |
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|
Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/tokenizer.json
ADDED
|
The diff for this file is too large to render.
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|
|
|
Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/tokenizer_config.json
ADDED
|
@@ -0,0 +1,55 @@
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|
| 1 |
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{
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| 2 |
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| 3 |
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|
| 4 |
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| 5 |
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|
| 6 |
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|
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|
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|
| 9 |
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|
| 10 |
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},
|
| 11 |
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|
| 12 |
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|
| 13 |
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|
| 14 |
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"normalized": false,
|
| 15 |
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"rstrip": false,
|
| 16 |
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"single_word": false,
|
| 17 |
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"special": true
|
| 18 |
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},
|
| 19 |
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"101": {
|
| 20 |
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"content": "[CLS]",
|
| 21 |
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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},
|
| 27 |
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|
| 28 |
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|
| 29 |
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|
| 30 |
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"normalized": false,
|
| 31 |
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"rstrip": false,
|
| 32 |
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"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
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},
|
| 35 |
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"103": {
|
| 36 |
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"content": "[MASK]",
|
| 37 |
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"lstrip": false,
|
| 38 |
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"normalized": false,
|
| 39 |
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"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
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},
|
| 44 |
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"clean_up_tokenization_spaces": false,
|
| 45 |
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"cls_token": "[CLS]",
|
| 46 |
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"do_lower_case": true,
|
| 47 |
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"mask_token": "[MASK]",
|
| 48 |
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"model_max_length": 512,
|
| 49 |
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"pad_token": "[PAD]",
|
| 50 |
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"sep_token": "[SEP]",
|
| 51 |
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|
| 52 |
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|
| 53 |
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"tokenizer_class": "BertTokenizer",
|
| 54 |
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"unk_token": "[UNK]"
|
| 55 |
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}
|
Classification/bosch_swipe/1001_bosch_t50_bert-base-uncased/vocab.txt
ADDED
|
The diff for this file is too large to render.
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|
|
Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/classification_reports.txt
ADDED
|
The diff for this file is too large to render.
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|
|
Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/config.json
ADDED
|
@@ -0,0 +1,131 @@
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|
| 1 |
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{
|
| 2 |
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|
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|
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| 131 |
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|
Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/loss.pdf
ADDED
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Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/model_params.json
ADDED
|
@@ -0,0 +1,8 @@
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{
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|
| 8 |
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|
Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
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| 4 |
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| 5 |
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| 6 |
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"unk_token": "[UNK]"
|
| 7 |
+
}
|
Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/stats.json
ADDED
|
@@ -0,0 +1,416 @@
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|
Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/tokenizer.json
ADDED
|
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|
|
Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/tokenizer_config.json
ADDED
|
@@ -0,0 +1,55 @@
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|
| 1 |
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{
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| 3 |
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| 4 |
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|
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|
| 10 |
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| 11 |
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|
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|
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|
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|
| 17 |
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|
| 18 |
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|
| 19 |
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|
| 20 |
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|
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|
| 22 |
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|
| 23 |
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|
| 24 |
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|
| 25 |
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|
| 26 |
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| 27 |
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| 28 |
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|
| 29 |
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|
| 30 |
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|
| 31 |
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|
| 32 |
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|
| 33 |
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"special": true
|
| 34 |
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},
|
| 35 |
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"103": {
|
| 36 |
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"content": "[MASK]",
|
| 37 |
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"lstrip": false,
|
| 38 |
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|
| 39 |
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"rstrip": false,
|
| 40 |
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"single_word": false,
|
| 41 |
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"special": true
|
| 42 |
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}
|
| 43 |
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},
|
| 44 |
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|
| 45 |
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"cls_token": "[CLS]",
|
| 46 |
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"do_lower_case": false,
|
| 47 |
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"mask_token": "[MASK]",
|
| 48 |
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"model_max_length": 512,
|
| 49 |
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"pad_token": "[PAD]",
|
| 50 |
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"sep_token": "[SEP]",
|
| 51 |
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"strip_accents": null,
|
| 52 |
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|
| 53 |
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"tokenizer_class": "BertTokenizer",
|
| 54 |
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"unk_token": "[UNK]"
|
| 55 |
+
}
|
Classification/bosch_swipe/1004_bosch_t50_bert-base-cased/vocab.txt
ADDED
|
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|
|
Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/classification_reports.txt
ADDED
|
@@ -0,0 +1,1888 @@
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|
| 1 |
+
> epoch: 0
|
| 2 |
+
precision recall f1-score support
|
| 3 |
+
|
| 4 |
+
0 0.00 0.00 0.00 6
|
| 5 |
+
1 0.00 0.00 0.00 1
|
| 6 |
+
2 0.00 0.00 0.00 2
|
| 7 |
+
3 0.00 0.00 0.00 13
|
| 8 |
+
4 0.00 0.00 0.00 2
|
| 9 |
+
5 0.00 0.00 0.00 8
|
| 10 |
+
6 0.00 0.00 0.00 10
|
| 11 |
+
7 0.00 0.00 0.00 2
|
| 12 |
+
8 0.00 0.00 0.00 7
|
| 13 |
+
9 0.00 0.00 0.00 8
|
| 14 |
+
10 0.00 0.00 0.00 1
|
| 15 |
+
11 0.09 0.96 0.17 25
|
| 16 |
+
12 0.00 0.00 0.00 2
|
| 17 |
+
13 0.00 0.00 0.00 18
|
| 18 |
+
14 0.00 0.00 0.00 3
|
| 19 |
+
15 0.00 0.00 0.00 3
|
| 20 |
+
16 0.00 0.00 0.00 5
|
| 21 |
+
17 0.11 0.29 0.16 14
|
| 22 |
+
18 0.00 0.00 0.00 4
|
| 23 |
+
19 0.00 0.00 0.00 1
|
| 24 |
+
20 0.00 0.00 0.00 1
|
| 25 |
+
21 0.00 0.00 0.00 1
|
| 26 |
+
22 0.00 0.00 0.00 4
|
| 27 |
+
23 0.00 0.00 0.00 1
|
| 28 |
+
24 0.00 0.00 0.00 2
|
| 29 |
+
25 0.50 0.10 0.17 10
|
| 30 |
+
26 0.00 0.00 0.00 7
|
| 31 |
+
27 0.00 0.00 0.00 8
|
| 32 |
+
28 0.00 0.00 0.00 8
|
| 33 |
+
29 0.00 0.00 0.00 1
|
| 34 |
+
30 0.00 0.00 0.00 4
|
| 35 |
+
31 0.00 0.00 0.00 2
|
| 36 |
+
32 0.96 0.75 0.84 32
|
| 37 |
+
33 0.00 0.00 0.00 4
|
| 38 |
+
34 0.00 0.00 0.00 3
|
| 39 |
+
35 0.00 0.00 0.00 7
|
| 40 |
+
36 0.00 0.00 0.00 0
|
| 41 |
+
37 0.00 0.00 0.00 2
|
| 42 |
+
38 0.00 0.00 0.00 0
|
| 43 |
+
39 0.00 0.00 0.00 4
|
| 44 |
+
40 0.00 0.00 0.00 6
|
| 45 |
+
41 0.00 0.00 0.00 0
|
| 46 |
+
42 0.00 0.00 0.00 4
|
| 47 |
+
43 0.06 1.00 0.12 47
|
| 48 |
+
44 0.00 0.00 0.00 1
|
| 49 |
+
45 0.00 0.00 0.00 8
|
| 50 |
+
46 0.00 0.00 0.00 0
|
| 51 |
+
47 0.00 0.00 0.00 2
|
| 52 |
+
48 0.00 0.00 0.00 3
|
| 53 |
+
49 0.00 0.00 0.00 0
|
| 54 |
+
|
| 55 |
+
micro avg 0.10 0.33 0.15 307
|
| 56 |
+
macro avg 0.03 0.06 0.03 307
|
| 57 |
+
weighted avg 0.14 0.33 0.13 307
|
| 58 |
+
samples avg 0.08 0.12 0.09 307
|
| 59 |
+
|
| 60 |
+
> epoch: 1
|
| 61 |
+
precision recall f1-score support
|
| 62 |
+
|
| 63 |
+
0 0.00 0.00 0.00 6
|
| 64 |
+
1 0.00 0.00 0.00 1
|
| 65 |
+
2 0.00 0.00 0.00 2
|
| 66 |
+
3 0.00 0.00 0.00 13
|
| 67 |
+
4 0.00 0.00 0.00 2
|
| 68 |
+
5 0.00 0.00 0.00 8
|
| 69 |
+
6 0.00 0.00 0.00 10
|
| 70 |
+
7 0.00 0.00 0.00 2
|
| 71 |
+
8 0.29 0.57 0.38 7
|
| 72 |
+
9 0.22 0.25 0.24 8
|
| 73 |
+
10 0.00 0.00 0.00 1
|
| 74 |
+
11 0.20 0.96 0.34 25
|
| 75 |
+
12 0.00 0.00 0.00 2
|
| 76 |
+
13 0.07 0.06 0.06 18
|
| 77 |
+
14 0.00 0.00 0.00 3
|
| 78 |
+
15 0.10 0.33 0.15 3
|
| 79 |
+
16 0.00 0.00 0.00 5
|
| 80 |
+
17 0.11 0.86 0.20 14
|
| 81 |
+
18 0.00 0.00 0.00 4
|
| 82 |
+
19 0.00 0.00 0.00 1
|
| 83 |
+
20 0.00 0.00 0.00 1
|
| 84 |
+
21 0.00 0.00 0.00 1
|
| 85 |
+
22 1.00 0.25 0.40 4
|
| 86 |
+
23 0.00 0.00 0.00 1
|
| 87 |
+
24 0.00 0.00 0.00 2
|
| 88 |
+
25 0.23 1.00 0.38 10
|
| 89 |
+
26 0.00 0.00 0.00 7
|
| 90 |
+
27 0.00 0.00 0.00 8
|
| 91 |
+
28 0.00 0.00 0.00 8
|
| 92 |
+
29 0.00 0.00 0.00 1
|
| 93 |
+
30 0.00 0.00 0.00 4
|
| 94 |
+
31 0.00 0.00 0.00 2
|
| 95 |
+
32 0.47 0.88 0.61 32
|
| 96 |
+
33 0.00 0.00 0.00 4
|
| 97 |
+
34 0.00 0.00 0.00 3
|
| 98 |
+
35 0.00 0.00 0.00 7
|
| 99 |
+
36 0.00 0.00 0.00 0
|
| 100 |
+
37 0.00 0.00 0.00 2
|
| 101 |
+
38 0.00 0.00 0.00 0
|
| 102 |
+
39 0.00 0.00 0.00 4
|
| 103 |
+
40 0.25 0.17 0.20 6
|
| 104 |
+
41 0.00 0.00 0.00 0
|
| 105 |
+
42 0.00 0.00 0.00 4
|
| 106 |
+
43 0.10 1.00 0.18 47
|
| 107 |
+
44 0.00 0.00 0.00 1
|
| 108 |
+
45 0.50 0.12 0.20 8
|
| 109 |
+
46 0.00 0.00 0.00 0
|
| 110 |
+
47 0.00 0.00 0.00 2
|
| 111 |
+
48 0.00 0.00 0.00 3
|
| 112 |
+
49 0.00 0.00 0.00 0
|
| 113 |
+
|
| 114 |
+
micro avg 0.15 0.43 0.22 307
|
| 115 |
+
macro avg 0.07 0.13 0.07 307
|
| 116 |
+
weighted avg 0.14 0.43 0.17 307
|
| 117 |
+
samples avg 0.09 0.16 0.11 307
|
| 118 |
+
|
| 119 |
+
> epoch: 2
|
| 120 |
+
precision recall f1-score support
|
| 121 |
+
|
| 122 |
+
0 0.00 0.00 0.00 6
|
| 123 |
+
1 0.00 0.00 0.00 1
|
| 124 |
+
2 0.00 0.00 0.00 2
|
| 125 |
+
3 0.12 0.46 0.19 13
|
| 126 |
+
4 0.00 0.00 0.00 2
|
| 127 |
+
5 0.00 0.00 0.00 8
|
| 128 |
+
6 0.17 0.10 0.12 10
|
| 129 |
+
7 0.00 0.00 0.00 2
|
| 130 |
+
8 0.33 0.86 0.48 7
|
| 131 |
+
9 0.16 0.38 0.22 8
|
| 132 |
+
10 0.20 1.00 0.33 1
|
| 133 |
+
11 0.26 1.00 0.42 25
|
| 134 |
+
12 0.00 0.00 0.00 2
|
| 135 |
+
13 0.25 0.44 0.32 18
|
| 136 |
+
14 0.00 0.00 0.00 3
|
| 137 |
+
15 0.14 0.67 0.24 3
|
| 138 |
+
16 0.00 0.00 0.00 5
|
| 139 |
+
17 0.13 0.79 0.23 14
|
| 140 |
+
18 0.00 0.00 0.00 4
|
| 141 |
+
19 0.00 0.00 0.00 1
|
| 142 |
+
20 0.00 0.00 0.00 1
|
| 143 |
+
21 0.00 0.00 0.00 1
|
| 144 |
+
22 0.75 0.75 0.75 4
|
| 145 |
+
23 0.00 0.00 0.00 1
|
| 146 |
+
24 0.00 0.00 0.00 2
|
| 147 |
+
25 0.16 1.00 0.28 10
|
| 148 |
+
26 0.00 0.00 0.00 7
|
| 149 |
+
27 0.50 0.38 0.43 8
|
| 150 |
+
28 0.00 0.00 0.00 8
|
| 151 |
+
29 0.00 0.00 0.00 1
|
| 152 |
+
30 0.00 0.00 0.00 4
|
| 153 |
+
31 0.00 0.00 0.00 2
|
| 154 |
+
32 0.79 0.84 0.82 32
|
| 155 |
+
33 0.00 0.00 0.00 4
|
| 156 |
+
34 0.00 0.00 0.00 3
|
| 157 |
+
35 1.00 0.86 0.92 7
|
| 158 |
+
36 0.00 0.00 0.00 0
|
| 159 |
+
37 0.00 0.00 0.00 2
|
| 160 |
+
38 0.00 0.00 0.00 0
|
| 161 |
+
39 0.00 0.00 0.00 4
|
| 162 |
+
40 0.22 0.33 0.27 6
|
| 163 |
+
41 0.00 0.00 0.00 0
|
| 164 |
+
42 0.00 0.00 0.00 4
|
| 165 |
+
43 0.25 0.98 0.40 47
|
| 166 |
+
44 0.00 0.00 0.00 1
|
| 167 |
+
45 0.25 0.75 0.38 8
|
| 168 |
+
46 0.00 0.00 0.00 0
|
| 169 |
+
47 0.00 0.00 0.00 2
|
| 170 |
+
48 0.00 0.00 0.00 3
|
| 171 |
+
49 0.00 0.00 0.00 0
|
| 172 |
+
|
| 173 |
+
micro avg 0.24 0.54 0.33 307
|
| 174 |
+
macro avg 0.11 0.23 0.14 307
|
| 175 |
+
weighted avg 0.25 0.54 0.31 307
|
| 176 |
+
samples avg 0.12 0.20 0.14 307
|
| 177 |
+
|
| 178 |
+
> epoch: 3
|
| 179 |
+
precision recall f1-score support
|
| 180 |
+
|
| 181 |
+
0 0.10 0.83 0.18 6
|
| 182 |
+
1 0.00 0.00 0.00 1
|
| 183 |
+
2 0.00 0.00 0.00 2
|
| 184 |
+
3 0.17 1.00 0.29 13
|
| 185 |
+
4 0.22 1.00 0.36 2
|
| 186 |
+
5 0.17 0.25 0.20 8
|
| 187 |
+
6 0.11 0.30 0.16 10
|
| 188 |
+
7 0.00 0.00 0.00 2
|
| 189 |
+
8 0.16 0.86 0.27 7
|
| 190 |
+
9 0.15 0.88 0.25 8
|
| 191 |
+
10 0.00 0.00 0.00 1
|
| 192 |
+
11 0.30 0.88 0.45 25
|
| 193 |
+
12 0.00 0.00 0.00 2
|
| 194 |
+
13 0.14 0.61 0.23 18
|
| 195 |
+
14 0.00 0.00 0.00 3
|
| 196 |
+
15 0.08 0.67 0.14 3
|
| 197 |
+
16 0.00 0.00 0.00 5
|
| 198 |
+
17 0.16 0.86 0.27 14
|
| 199 |
+
18 0.00 0.00 0.00 4
|
| 200 |
+
19 0.00 0.00 0.00 1
|
| 201 |
+
20 0.07 1.00 0.12 1
|
| 202 |
+
21 0.12 1.00 0.22 1
|
| 203 |
+
22 0.19 0.75 0.30 4
|
| 204 |
+
23 0.00 0.00 0.00 1
|
| 205 |
+
24 0.00 0.00 0.00 2
|
| 206 |
+
25 0.11 1.00 0.19 10
|
| 207 |
+
26 0.00 0.00 0.00 7
|
| 208 |
+
27 0.38 1.00 0.55 8
|
| 209 |
+
28 0.00 0.00 0.00 8
|
| 210 |
+
29 0.00 0.00 0.00 1
|
| 211 |
+
30 0.14 0.50 0.22 4
|
| 212 |
+
31 0.00 0.00 0.00 2
|
| 213 |
+
32 0.81 0.94 0.87 32
|
| 214 |
+
33 0.00 0.00 0.00 4
|
| 215 |
+
34 0.06 0.33 0.11 3
|
| 216 |
+
35 0.60 0.86 0.71 7
|
| 217 |
+
36 0.00 0.00 0.00 0
|
| 218 |
+
37 0.00 0.00 0.00 2
|
| 219 |
+
38 0.00 0.00 0.00 0
|
| 220 |
+
39 0.00 0.00 0.00 4
|
| 221 |
+
40 0.12 0.50 0.19 6
|
| 222 |
+
41 0.00 0.00 0.00 0
|
| 223 |
+
42 0.08 0.25 0.12 4
|
| 224 |
+
43 0.39 1.00 0.56 47
|
| 225 |
+
44 0.00 0.00 0.00 1
|
| 226 |
+
45 0.13 1.00 0.23 8
|
| 227 |
+
46 0.00 0.00 0.00 0
|
| 228 |
+
47 0.00 0.00 0.00 2
|
| 229 |
+
48 0.20 0.67 0.31 3
|
| 230 |
+
49 0.00 0.00 0.00 0
|
| 231 |
+
|
| 232 |
+
micro avg 0.20 0.68 0.31 307
|
| 233 |
+
macro avg 0.10 0.38 0.15 307
|
| 234 |
+
weighted avg 0.25 0.68 0.34 307
|
| 235 |
+
samples avg 0.16 0.24 0.17 307
|
| 236 |
+
|
| 237 |
+
> epoch: 4
|
| 238 |
+
precision recall f1-score support
|
| 239 |
+
|
| 240 |
+
0 0.19 0.83 0.30 6
|
| 241 |
+
1 1.00 1.00 1.00 1
|
| 242 |
+
2 0.00 0.00 0.00 2
|
| 243 |
+
3 0.19 0.69 0.30 13
|
| 244 |
+
4 0.25 0.50 0.33 2
|
| 245 |
+
5 0.18 0.25 0.21 8
|
| 246 |
+
6 0.12 0.50 0.19 10
|
| 247 |
+
7 0.67 1.00 0.80 2
|
| 248 |
+
8 0.30 1.00 0.47 7
|
| 249 |
+
9 0.30 0.75 0.43 8
|
| 250 |
+
10 0.00 0.00 0.00 1
|
| 251 |
+
11 0.29 0.92 0.44 25
|
| 252 |
+
12 0.00 0.00 0.00 2
|
| 253 |
+
13 0.25 0.56 0.34 18
|
| 254 |
+
14 0.00 0.00 0.00 3
|
| 255 |
+
15 0.11 0.67 0.19 3
|
| 256 |
+
16 1.00 0.20 0.33 5
|
| 257 |
+
17 0.14 0.86 0.25 14
|
| 258 |
+
18 0.00 0.00 0.00 4
|
| 259 |
+
19 0.00 0.00 0.00 1
|
| 260 |
+
20 0.11 1.00 0.20 1
|
| 261 |
+
21 0.00 0.00 0.00 1
|
| 262 |
+
22 0.60 0.75 0.67 4
|
| 263 |
+
23 0.00 0.00 0.00 1
|
| 264 |
+
24 0.00 0.00 0.00 2
|
| 265 |
+
25 0.20 0.90 0.32 10
|
| 266 |
+
26 0.83 0.71 0.77 7
|
| 267 |
+
27 0.36 1.00 0.53 8
|
| 268 |
+
28 0.00 0.00 0.00 8
|
| 269 |
+
29 0.00 0.00 0.00 1
|
| 270 |
+
30 0.10 0.75 0.18 4
|
| 271 |
+
31 0.00 0.00 0.00 2
|
| 272 |
+
32 0.85 0.88 0.86 32
|
| 273 |
+
33 0.00 0.00 0.00 4
|
| 274 |
+
34 0.05 0.33 0.09 3
|
| 275 |
+
35 0.50 0.86 0.63 7
|
| 276 |
+
36 0.00 0.00 0.00 0
|
| 277 |
+
37 0.00 0.00 0.00 2
|
| 278 |
+
38 0.00 0.00 0.00 0
|
| 279 |
+
39 0.33 0.25 0.29 4
|
| 280 |
+
40 0.18 0.50 0.26 6
|
| 281 |
+
41 0.00 0.00 0.00 0
|
| 282 |
+
42 0.12 0.25 0.17 4
|
| 283 |
+
43 0.36 0.96 0.53 47
|
| 284 |
+
44 0.00 0.00 0.00 1
|
| 285 |
+
45 0.22 0.88 0.35 8
|
| 286 |
+
46 0.00 0.00 0.00 0
|
| 287 |
+
47 0.17 0.50 0.25 2
|
| 288 |
+
48 0.50 0.67 0.57 3
|
| 289 |
+
49 0.00 0.00 0.00 0
|
| 290 |
+
|
| 291 |
+
micro avg 0.26 0.68 0.38 307
|
| 292 |
+
macro avg 0.21 0.42 0.25 307
|
| 293 |
+
weighted avg 0.33 0.68 0.40 307
|
| 294 |
+
samples avg 0.16 0.25 0.18 307
|
| 295 |
+
|
| 296 |
+
> epoch: 5
|
| 297 |
+
precision recall f1-score support
|
| 298 |
+
|
| 299 |
+
0 0.17 0.83 0.29 6
|
| 300 |
+
1 1.00 1.00 1.00 1
|
| 301 |
+
2 0.00 0.00 0.00 2
|
| 302 |
+
3 0.21 0.85 0.33 13
|
| 303 |
+
4 0.67 1.00 0.80 2
|
| 304 |
+
5 0.30 0.38 0.33 8
|
| 305 |
+
6 0.13 0.30 0.18 10
|
| 306 |
+
7 0.40 1.00 0.57 2
|
| 307 |
+
8 0.29 1.00 0.45 7
|
| 308 |
+
9 0.26 0.62 0.37 8
|
| 309 |
+
10 1.00 1.00 1.00 1
|
| 310 |
+
11 0.33 0.88 0.48 25
|
| 311 |
+
12 0.00 0.00 0.00 2
|
| 312 |
+
13 0.23 0.50 0.32 18
|
| 313 |
+
14 0.00 0.00 0.00 3
|
| 314 |
+
15 0.13 0.67 0.22 3
|
| 315 |
+
16 0.50 0.20 0.29 5
|
| 316 |
+
17 0.23 0.86 0.36 14
|
| 317 |
+
18 0.00 0.00 0.00 4
|
| 318 |
+
19 0.00 0.00 0.00 1
|
| 319 |
+
20 0.07 1.00 0.13 1
|
| 320 |
+
21 0.20 1.00 0.33 1
|
| 321 |
+
22 0.50 1.00 0.67 4
|
| 322 |
+
23 0.00 0.00 0.00 1
|
| 323 |
+
24 0.00 0.00 0.00 2
|
| 324 |
+
25 0.20 0.90 0.33 10
|
| 325 |
+
26 0.62 0.71 0.67 7
|
| 326 |
+
27 0.29 1.00 0.44 8
|
| 327 |
+
28 0.20 0.12 0.15 8
|
| 328 |
+
29 0.00 0.00 0.00 1
|
| 329 |
+
30 0.17 0.75 0.27 4
|
| 330 |
+
31 0.00 0.00 0.00 2
|
| 331 |
+
32 0.73 0.84 0.78 32
|
| 332 |
+
33 0.25 0.25 0.25 4
|
| 333 |
+
34 0.05 0.33 0.08 3
|
| 334 |
+
35 0.50 0.86 0.63 7
|
| 335 |
+
36 0.00 0.00 0.00 0
|
| 336 |
+
37 0.00 0.00 0.00 2
|
| 337 |
+
38 0.00 0.00 0.00 0
|
| 338 |
+
39 0.25 0.25 0.25 4
|
| 339 |
+
40 0.15 0.50 0.23 6
|
| 340 |
+
41 0.00 0.00 0.00 0
|
| 341 |
+
42 0.00 0.00 0.00 4
|
| 342 |
+
43 0.53 0.87 0.66 47
|
| 343 |
+
44 0.00 0.00 0.00 1
|
| 344 |
+
45 0.27 0.75 0.40 8
|
| 345 |
+
46 0.00 0.00 0.00 0
|
| 346 |
+
47 0.10 0.50 0.17 2
|
| 347 |
+
48 0.50 0.67 0.57 3
|
| 348 |
+
49 0.00 0.00 0.00 0
|
| 349 |
+
|
| 350 |
+
micro avg 0.29 0.67 0.40 307
|
| 351 |
+
macro avg 0.23 0.47 0.28 307
|
| 352 |
+
weighted avg 0.34 0.67 0.43 307
|
| 353 |
+
samples avg 0.17 0.24 0.19 307
|
| 354 |
+
|
| 355 |
+
> epoch: 6
|
| 356 |
+
precision recall f1-score support
|
| 357 |
+
|
| 358 |
+
0 0.18 0.83 0.29 6
|
| 359 |
+
1 1.00 1.00 1.00 1
|
| 360 |
+
2 0.00 0.00 0.00 2
|
| 361 |
+
3 0.23 0.85 0.37 13
|
| 362 |
+
4 0.33 0.50 0.40 2
|
| 363 |
+
5 0.33 0.38 0.35 8
|
| 364 |
+
6 0.20 0.40 0.27 10
|
| 365 |
+
7 0.67 1.00 0.80 2
|
| 366 |
+
8 0.32 1.00 0.48 7
|
| 367 |
+
9 0.35 0.88 0.50 8
|
| 368 |
+
10 0.00 0.00 0.00 1
|
| 369 |
+
11 0.48 0.88 0.62 25
|
| 370 |
+
12 0.00 0.00 0.00 2
|
| 371 |
+
13 0.27 0.50 0.35 18
|
| 372 |
+
14 0.00 0.00 0.00 3
|
| 373 |
+
15 0.22 0.67 0.33 3
|
| 374 |
+
16 1.00 0.20 0.33 5
|
| 375 |
+
17 0.22 0.86 0.35 14
|
| 376 |
+
18 0.00 0.00 0.00 4
|
| 377 |
+
19 0.00 0.00 0.00 1
|
| 378 |
+
20 0.08 1.00 0.15 1
|
| 379 |
+
21 0.20 1.00 0.33 1
|
| 380 |
+
22 0.57 1.00 0.73 4
|
| 381 |
+
23 0.00 0.00 0.00 1
|
| 382 |
+
24 0.00 0.00 0.00 2
|
| 383 |
+
25 0.21 0.90 0.34 10
|
| 384 |
+
26 1.00 0.57 0.73 7
|
| 385 |
+
27 0.44 0.88 0.58 8
|
| 386 |
+
28 0.00 0.00 0.00 8
|
| 387 |
+
29 0.00 0.00 0.00 1
|
| 388 |
+
30 0.20 0.75 0.32 4
|
| 389 |
+
31 0.00 0.00 0.00 2
|
| 390 |
+
32 0.85 0.88 0.86 32
|
| 391 |
+
33 0.50 0.25 0.33 4
|
| 392 |
+
34 0.05 0.33 0.09 3
|
| 393 |
+
35 0.55 0.86 0.67 7
|
| 394 |
+
36 0.00 0.00 0.00 0
|
| 395 |
+
37 0.00 0.00 0.00 2
|
| 396 |
+
38 0.00 0.00 0.00 0
|
| 397 |
+
39 0.33 0.25 0.29 4
|
| 398 |
+
40 0.21 0.50 0.30 6
|
| 399 |
+
41 0.00 0.00 0.00 0
|
| 400 |
+
42 0.00 0.00 0.00 4
|
| 401 |
+
43 0.45 0.96 0.62 47
|
| 402 |
+
44 0.00 0.00 0.00 1
|
| 403 |
+
45 0.29 0.88 0.44 8
|
| 404 |
+
46 0.00 0.00 0.00 0
|
| 405 |
+
47 0.50 0.50 0.50 2
|
| 406 |
+
48 0.75 1.00 0.86 3
|
| 407 |
+
49 0.00 0.00 0.00 0
|
| 408 |
+
|
| 409 |
+
micro avg 0.33 0.69 0.45 307
|
| 410 |
+
macro avg 0.26 0.45 0.29 307
|
| 411 |
+
weighted avg 0.39 0.69 0.47 307
|
| 412 |
+
samples avg 0.19 0.25 0.20 307
|
| 413 |
+
|
| 414 |
+
> epoch: 7
|
| 415 |
+
precision recall f1-score support
|
| 416 |
+
|
| 417 |
+
0 0.22 0.67 0.33 6
|
| 418 |
+
1 1.00 1.00 1.00 1
|
| 419 |
+
2 0.00 0.00 0.00 2
|
| 420 |
+
3 0.21 0.54 0.30 13
|
| 421 |
+
4 0.20 0.50 0.29 2
|
| 422 |
+
5 0.36 0.62 0.45 8
|
| 423 |
+
6 0.23 0.60 0.33 10
|
| 424 |
+
7 0.22 1.00 0.36 2
|
| 425 |
+
8 0.32 0.86 0.46 7
|
| 426 |
+
9 0.44 0.88 0.58 8
|
| 427 |
+
10 0.00 0.00 0.00 1
|
| 428 |
+
11 0.44 0.84 0.58 25
|
| 429 |
+
12 0.00 0.00 0.00 2
|
| 430 |
+
13 0.34 0.56 0.43 18
|
| 431 |
+
14 0.00 0.00 0.00 3
|
| 432 |
+
15 0.17 0.67 0.27 3
|
| 433 |
+
16 1.00 0.20 0.33 5
|
| 434 |
+
17 0.22 0.86 0.35 14
|
| 435 |
+
18 0.50 0.25 0.33 4
|
| 436 |
+
19 0.00 0.00 0.00 1
|
| 437 |
+
20 0.09 1.00 0.17 1
|
| 438 |
+
21 0.20 1.00 0.33 1
|
| 439 |
+
22 0.67 1.00 0.80 4
|
| 440 |
+
23 0.00 0.00 0.00 1
|
| 441 |
+
24 0.00 0.00 0.00 2
|
| 442 |
+
25 0.32 0.70 0.44 10
|
| 443 |
+
26 0.60 0.86 0.71 7
|
| 444 |
+
27 0.44 1.00 0.62 8
|
| 445 |
+
28 0.33 0.25 0.29 8
|
| 446 |
+
29 0.00 0.00 0.00 1
|
| 447 |
+
30 0.15 0.75 0.25 4
|
| 448 |
+
31 0.00 0.00 0.00 2
|
| 449 |
+
32 0.88 0.91 0.89 32
|
| 450 |
+
33 0.40 0.50 0.44 4
|
| 451 |
+
34 0.06 0.33 0.10 3
|
| 452 |
+
35 0.50 0.86 0.63 7
|
| 453 |
+
36 0.00 0.00 0.00 0
|
| 454 |
+
37 0.40 1.00 0.57 2
|
| 455 |
+
38 0.00 0.00 0.00 0
|
| 456 |
+
39 0.33 0.25 0.29 4
|
| 457 |
+
40 0.13 0.33 0.19 6
|
| 458 |
+
41 0.00 0.00 0.00 0
|
| 459 |
+
42 0.00 0.00 0.00 4
|
| 460 |
+
43 0.59 0.81 0.68 47
|
| 461 |
+
44 0.00 0.00 0.00 1
|
| 462 |
+
45 0.35 0.75 0.48 8
|
| 463 |
+
46 0.00 0.00 0.00 0
|
| 464 |
+
47 0.14 0.50 0.22 2
|
| 465 |
+
48 0.75 1.00 0.86 3
|
| 466 |
+
49 0.00 0.00 0.00 0
|
| 467 |
+
|
| 468 |
+
micro avg 0.34 0.68 0.46 307
|
| 469 |
+
macro avg 0.26 0.48 0.31 307
|
| 470 |
+
weighted avg 0.43 0.68 0.50 307
|
| 471 |
+
samples avg 0.18 0.25 0.19 307
|
| 472 |
+
|
| 473 |
+
> epoch: 8
|
| 474 |
+
precision recall f1-score support
|
| 475 |
+
|
| 476 |
+
0 0.19 0.50 0.27 6
|
| 477 |
+
1 1.00 1.00 1.00 1
|
| 478 |
+
2 0.00 0.00 0.00 2
|
| 479 |
+
3 0.22 0.62 0.33 13
|
| 480 |
+
4 0.00 0.00 0.00 2
|
| 481 |
+
5 0.33 0.62 0.43 8
|
| 482 |
+
6 0.21 0.30 0.25 10
|
| 483 |
+
7 0.67 1.00 0.80 2
|
| 484 |
+
8 0.55 0.86 0.67 7
|
| 485 |
+
9 0.42 0.62 0.50 8
|
| 486 |
+
10 0.00 0.00 0.00 1
|
| 487 |
+
11 0.49 0.92 0.64 25
|
| 488 |
+
12 0.00 0.00 0.00 2
|
| 489 |
+
13 0.42 0.56 0.48 18
|
| 490 |
+
14 0.00 0.00 0.00 3
|
| 491 |
+
15 0.38 1.00 0.55 3
|
| 492 |
+
16 1.00 0.20 0.33 5
|
| 493 |
+
17 0.29 0.86 0.44 14
|
| 494 |
+
18 0.50 0.25 0.33 4
|
| 495 |
+
19 0.00 0.00 0.00 1
|
| 496 |
+
20 0.17 1.00 0.29 1
|
| 497 |
+
21 0.00 0.00 0.00 1
|
| 498 |
+
22 0.80 1.00 0.89 4
|
| 499 |
+
23 0.00 0.00 0.00 1
|
| 500 |
+
24 0.00 0.00 0.00 2
|
| 501 |
+
25 0.38 0.90 0.53 10
|
| 502 |
+
26 0.71 0.71 0.71 7
|
| 503 |
+
27 0.42 1.00 0.59 8
|
| 504 |
+
28 0.67 0.50 0.57 8
|
| 505 |
+
29 0.00 0.00 0.00 1
|
| 506 |
+
30 0.21 0.75 0.33 4
|
| 507 |
+
31 0.00 0.00 0.00 2
|
| 508 |
+
32 0.74 0.91 0.82 32
|
| 509 |
+
33 0.50 0.75 0.60 4
|
| 510 |
+
34 0.12 0.33 0.18 3
|
| 511 |
+
35 0.60 0.86 0.71 7
|
| 512 |
+
36 0.00 0.00 0.00 0
|
| 513 |
+
37 0.00 0.00 0.00 2
|
| 514 |
+
38 0.00 0.00 0.00 0
|
| 515 |
+
39 0.50 0.25 0.33 4
|
| 516 |
+
40 0.18 0.33 0.24 6
|
| 517 |
+
41 0.00 0.00 0.00 0
|
| 518 |
+
42 0.00 0.00 0.00 4
|
| 519 |
+
43 0.52 0.83 0.64 47
|
| 520 |
+
44 0.00 0.00 0.00 1
|
| 521 |
+
45 0.40 0.75 0.52 8
|
| 522 |
+
46 0.00 0.00 0.00 0
|
| 523 |
+
47 0.25 0.50 0.33 2
|
| 524 |
+
48 0.60 1.00 0.75 3
|
| 525 |
+
49 0.00 0.00 0.00 0
|
| 526 |
+
|
| 527 |
+
micro avg 0.41 0.68 0.51 307
|
| 528 |
+
macro avg 0.29 0.43 0.32 307
|
| 529 |
+
weighted avg 0.44 0.68 0.51 307
|
| 530 |
+
samples avg 0.20 0.25 0.21 307
|
| 531 |
+
|
| 532 |
+
> epoch: 9
|
| 533 |
+
precision recall f1-score support
|
| 534 |
+
|
| 535 |
+
0 0.27 0.67 0.38 6
|
| 536 |
+
1 1.00 1.00 1.00 1
|
| 537 |
+
2 0.00 0.00 0.00 2
|
| 538 |
+
3 0.32 0.77 0.45 13
|
| 539 |
+
4 0.00 0.00 0.00 2
|
| 540 |
+
5 0.33 0.50 0.40 8
|
| 541 |
+
6 0.24 0.40 0.30 10
|
| 542 |
+
7 0.67 1.00 0.80 2
|
| 543 |
+
8 0.55 0.86 0.67 7
|
| 544 |
+
9 0.50 0.62 0.56 8
|
| 545 |
+
10 0.00 0.00 0.00 1
|
| 546 |
+
11 0.43 0.92 0.59 25
|
| 547 |
+
12 0.00 0.00 0.00 2
|
| 548 |
+
13 0.34 0.56 0.43 18
|
| 549 |
+
14 0.00 0.00 0.00 3
|
| 550 |
+
15 0.38 1.00 0.55 3
|
| 551 |
+
16 1.00 0.40 0.57 5
|
| 552 |
+
17 0.25 0.86 0.39 14
|
| 553 |
+
18 0.50 0.25 0.33 4
|
| 554 |
+
19 0.00 0.00 0.00 1
|
| 555 |
+
20 0.17 1.00 0.29 1
|
| 556 |
+
21 0.00 0.00 0.00 1
|
| 557 |
+
22 1.00 1.00 1.00 4
|
| 558 |
+
23 0.00 0.00 0.00 1
|
| 559 |
+
24 0.00 0.00 0.00 2
|
| 560 |
+
25 0.33 0.70 0.45 10
|
| 561 |
+
26 0.83 0.71 0.77 7
|
| 562 |
+
27 0.40 1.00 0.57 8
|
| 563 |
+
28 0.80 0.50 0.62 8
|
| 564 |
+
29 0.00 0.00 0.00 1
|
| 565 |
+
30 0.16 0.75 0.26 4
|
| 566 |
+
31 0.00 0.00 0.00 2
|
| 567 |
+
32 0.77 0.84 0.81 32
|
| 568 |
+
33 0.50 0.75 0.60 4
|
| 569 |
+
34 0.25 0.33 0.29 3
|
| 570 |
+
35 0.64 1.00 0.78 7
|
| 571 |
+
36 0.00 0.00 0.00 0
|
| 572 |
+
37 1.00 0.50 0.67 2
|
| 573 |
+
38 0.00 0.00 0.00 0
|
| 574 |
+
39 0.33 0.25 0.29 4
|
| 575 |
+
40 0.17 0.33 0.22 6
|
| 576 |
+
41 0.00 0.00 0.00 0
|
| 577 |
+
42 0.00 0.00 0.00 4
|
| 578 |
+
43 0.51 0.94 0.66 47
|
| 579 |
+
44 0.00 0.00 0.00 1
|
| 580 |
+
45 0.38 0.75 0.50 8
|
| 581 |
+
46 0.00 0.00 0.00 0
|
| 582 |
+
47 0.11 0.50 0.18 2
|
| 583 |
+
48 0.67 0.67 0.67 3
|
| 584 |
+
49 0.00 0.00 0.00 0
|
| 585 |
+
|
| 586 |
+
micro avg 0.41 0.70 0.52 307
|
| 587 |
+
macro avg 0.32 0.45 0.34 307
|
| 588 |
+
weighted avg 0.45 0.70 0.52 307
|
| 589 |
+
samples avg 0.20 0.25 0.22 307
|
| 590 |
+
|
| 591 |
+
> epoch: 10
|
| 592 |
+
precision recall f1-score support
|
| 593 |
+
|
| 594 |
+
0 0.27 0.67 0.38 6
|
| 595 |
+
1 1.00 1.00 1.00 1
|
| 596 |
+
2 0.00 0.00 0.00 2
|
| 597 |
+
3 0.31 0.85 0.45 13
|
| 598 |
+
4 0.00 0.00 0.00 2
|
| 599 |
+
5 0.43 0.75 0.55 8
|
| 600 |
+
6 0.26 0.50 0.34 10
|
| 601 |
+
7 0.50 1.00 0.67 2
|
| 602 |
+
8 0.47 1.00 0.64 7
|
| 603 |
+
9 0.60 0.75 0.67 8
|
| 604 |
+
10 0.00 0.00 0.00 1
|
| 605 |
+
11 0.40 0.92 0.55 25
|
| 606 |
+
12 0.00 0.00 0.00 2
|
| 607 |
+
13 0.38 0.61 0.47 18
|
| 608 |
+
14 0.00 0.00 0.00 3
|
| 609 |
+
15 0.27 1.00 0.43 3
|
| 610 |
+
16 1.00 0.20 0.33 5
|
| 611 |
+
17 0.28 0.86 0.42 14
|
| 612 |
+
18 0.50 0.25 0.33 4
|
| 613 |
+
19 0.00 0.00 0.00 1
|
| 614 |
+
20 0.17 1.00 0.29 1
|
| 615 |
+
21 0.33 1.00 0.50 1
|
| 616 |
+
22 0.80 1.00 0.89 4
|
| 617 |
+
23 0.00 0.00 0.00 1
|
| 618 |
+
24 0.00 0.00 0.00 2
|
| 619 |
+
25 0.32 0.80 0.46 10
|
| 620 |
+
26 0.71 0.71 0.71 7
|
| 621 |
+
27 0.36 1.00 0.53 8
|
| 622 |
+
28 0.80 0.50 0.62 8
|
| 623 |
+
29 0.00 0.00 0.00 1
|
| 624 |
+
30 0.18 0.75 0.29 4
|
| 625 |
+
31 0.00 0.00 0.00 2
|
| 626 |
+
32 0.82 0.84 0.83 32
|
| 627 |
+
33 0.57 1.00 0.73 4
|
| 628 |
+
34 0.20 0.67 0.31 3
|
| 629 |
+
35 0.58 1.00 0.74 7
|
| 630 |
+
36 0.00 0.00 0.00 0
|
| 631 |
+
37 0.33 0.50 0.40 2
|
| 632 |
+
38 0.00 0.00 0.00 0
|
| 633 |
+
39 0.50 0.50 0.50 4
|
| 634 |
+
40 0.22 0.33 0.27 6
|
| 635 |
+
41 0.00 0.00 0.00 0
|
| 636 |
+
42 0.00 0.00 0.00 4
|
| 637 |
+
43 0.55 0.87 0.67 47
|
| 638 |
+
44 0.00 0.00 0.00 1
|
| 639 |
+
45 0.40 0.75 0.52 8
|
| 640 |
+
46 0.00 0.00 0.00 0
|
| 641 |
+
47 0.10 0.50 0.17 2
|
| 642 |
+
48 0.67 0.67 0.67 3
|
| 643 |
+
49 0.00 0.00 0.00 0
|
| 644 |
+
|
| 645 |
+
micro avg 0.40 0.72 0.52 307
|
| 646 |
+
macro avg 0.31 0.49 0.35 307
|
| 647 |
+
weighted avg 0.46 0.72 0.53 307
|
| 648 |
+
samples avg 0.21 0.26 0.22 307
|
| 649 |
+
|
| 650 |
+
> epoch: 11
|
| 651 |
+
precision recall f1-score support
|
| 652 |
+
|
| 653 |
+
0 0.36 0.83 0.50 6
|
| 654 |
+
1 1.00 1.00 1.00 1
|
| 655 |
+
2 0.00 0.00 0.00 2
|
| 656 |
+
3 0.28 0.69 0.40 13
|
| 657 |
+
4 0.00 0.00 0.00 2
|
| 658 |
+
5 0.50 0.50 0.50 8
|
| 659 |
+
6 0.25 0.50 0.33 10
|
| 660 |
+
7 0.67 1.00 0.80 2
|
| 661 |
+
8 0.60 0.86 0.71 7
|
| 662 |
+
9 0.50 0.62 0.56 8
|
| 663 |
+
10 0.00 0.00 0.00 1
|
| 664 |
+
11 0.50 0.88 0.64 25
|
| 665 |
+
12 0.00 0.00 0.00 2
|
| 666 |
+
13 0.41 0.50 0.45 18
|
| 667 |
+
14 0.00 0.00 0.00 3
|
| 668 |
+
15 0.40 0.67 0.50 3
|
| 669 |
+
16 1.00 0.40 0.57 5
|
| 670 |
+
17 0.31 0.86 0.45 14
|
| 671 |
+
18 0.50 0.25 0.33 4
|
| 672 |
+
19 0.00 0.00 0.00 1
|
| 673 |
+
20 0.17 1.00 0.29 1
|
| 674 |
+
21 0.00 0.00 0.00 1
|
| 675 |
+
22 1.00 1.00 1.00 4
|
| 676 |
+
23 0.00 0.00 0.00 1
|
| 677 |
+
24 0.00 0.00 0.00 2
|
| 678 |
+
25 0.35 0.80 0.48 10
|
| 679 |
+
26 1.00 0.71 0.83 7
|
| 680 |
+
27 0.53 1.00 0.70 8
|
| 681 |
+
28 0.67 0.50 0.57 8
|
| 682 |
+
29 0.00 0.00 0.00 1
|
| 683 |
+
30 0.19 0.75 0.30 4
|
| 684 |
+
31 0.00 0.00 0.00 2
|
| 685 |
+
32 0.85 0.88 0.86 32
|
| 686 |
+
33 0.50 0.75 0.60 4
|
| 687 |
+
34 0.33 0.33 0.33 3
|
| 688 |
+
35 0.64 1.00 0.78 7
|
| 689 |
+
36 0.00 0.00 0.00 0
|
| 690 |
+
37 1.00 0.50 0.67 2
|
| 691 |
+
38 0.00 0.00 0.00 0
|
| 692 |
+
39 0.33 0.25 0.29 4
|
| 693 |
+
40 0.21 0.50 0.30 6
|
| 694 |
+
41 0.00 0.00 0.00 0
|
| 695 |
+
42 0.00 0.00 0.00 4
|
| 696 |
+
43 0.60 0.81 0.69 47
|
| 697 |
+
44 0.00 0.00 0.00 1
|
| 698 |
+
45 0.32 0.75 0.44 8
|
| 699 |
+
46 0.00 0.00 0.00 0
|
| 700 |
+
47 0.20 0.50 0.29 2
|
| 701 |
+
48 0.50 0.33 0.40 3
|
| 702 |
+
49 0.00 0.00 0.00 0
|
| 703 |
+
|
| 704 |
+
micro avg 0.45 0.68 0.54 307
|
| 705 |
+
macro avg 0.33 0.44 0.35 307
|
| 706 |
+
weighted avg 0.50 0.68 0.55 307
|
| 707 |
+
samples avg 0.21 0.25 0.22 307
|
| 708 |
+
|
| 709 |
+
> epoch: 12
|
| 710 |
+
precision recall f1-score support
|
| 711 |
+
|
| 712 |
+
0 0.24 0.83 0.37 6
|
| 713 |
+
1 1.00 1.00 1.00 1
|
| 714 |
+
2 0.00 0.00 0.00 2
|
| 715 |
+
3 0.32 0.69 0.44 13
|
| 716 |
+
4 0.00 0.00 0.00 2
|
| 717 |
+
5 0.67 0.75 0.71 8
|
| 718 |
+
6 0.45 0.50 0.48 10
|
| 719 |
+
7 0.67 1.00 0.80 2
|
| 720 |
+
8 0.50 1.00 0.67 7
|
| 721 |
+
9 0.55 0.75 0.63 8
|
| 722 |
+
10 1.00 1.00 1.00 1
|
| 723 |
+
11 0.48 0.88 0.62 25
|
| 724 |
+
12 0.00 0.00 0.00 2
|
| 725 |
+
13 0.46 0.61 0.52 18
|
| 726 |
+
14 0.00 0.00 0.00 3
|
| 727 |
+
15 0.25 1.00 0.40 3
|
| 728 |
+
16 1.00 0.40 0.57 5
|
| 729 |
+
17 0.43 0.86 0.57 14
|
| 730 |
+
18 0.33 0.25 0.29 4
|
| 731 |
+
19 0.00 0.00 0.00 1
|
| 732 |
+
20 0.17 1.00 0.29 1
|
| 733 |
+
21 0.00 0.00 0.00 1
|
| 734 |
+
22 0.80 1.00 0.89 4
|
| 735 |
+
23 0.00 0.00 0.00 1
|
| 736 |
+
24 0.00 0.00 0.00 2
|
| 737 |
+
25 0.40 0.80 0.53 10
|
| 738 |
+
26 1.00 0.71 0.83 7
|
| 739 |
+
27 0.43 0.75 0.55 8
|
| 740 |
+
28 0.83 0.62 0.71 8
|
| 741 |
+
29 0.00 0.00 0.00 1
|
| 742 |
+
30 0.33 0.75 0.46 4
|
| 743 |
+
31 0.00 0.00 0.00 2
|
| 744 |
+
32 0.82 0.88 0.85 32
|
| 745 |
+
33 0.60 0.75 0.67 4
|
| 746 |
+
34 0.29 0.67 0.40 3
|
| 747 |
+
35 1.00 1.00 1.00 7
|
| 748 |
+
36 0.00 0.00 0.00 0
|
| 749 |
+
37 1.00 0.50 0.67 2
|
| 750 |
+
38 0.00 0.00 0.00 0
|
| 751 |
+
39 0.50 0.50 0.50 4
|
| 752 |
+
40 0.25 0.50 0.33 6
|
| 753 |
+
41 0.00 0.00 0.00 0
|
| 754 |
+
42 0.00 0.00 0.00 4
|
| 755 |
+
43 0.60 0.83 0.70 47
|
| 756 |
+
44 0.00 0.00 0.00 1
|
| 757 |
+
45 0.43 0.75 0.55 8
|
| 758 |
+
46 0.00 0.00 0.00 0
|
| 759 |
+
47 0.17 0.50 0.25 2
|
| 760 |
+
48 0.67 0.67 0.67 3
|
| 761 |
+
49 0.00 0.00 0.00 0
|
| 762 |
+
|
| 763 |
+
micro avg 0.48 0.71 0.57 307
|
| 764 |
+
macro avg 0.37 0.49 0.40 307
|
| 765 |
+
weighted avg 0.53 0.71 0.59 307
|
| 766 |
+
samples avg 0.23 0.26 0.23 307
|
| 767 |
+
|
| 768 |
+
> epoch: 13
|
| 769 |
+
precision recall f1-score support
|
| 770 |
+
|
| 771 |
+
0 0.29 0.67 0.40 6
|
| 772 |
+
1 1.00 1.00 1.00 1
|
| 773 |
+
2 0.00 0.00 0.00 2
|
| 774 |
+
3 0.26 0.77 0.38 13
|
| 775 |
+
4 0.00 0.00 0.00 2
|
| 776 |
+
5 0.57 0.50 0.53 8
|
| 777 |
+
6 0.43 0.30 0.35 10
|
| 778 |
+
7 0.67 1.00 0.80 2
|
| 779 |
+
8 0.55 0.86 0.67 7
|
| 780 |
+
9 0.54 0.88 0.67 8
|
| 781 |
+
10 0.00 0.00 0.00 1
|
| 782 |
+
11 0.40 0.92 0.55 25
|
| 783 |
+
12 0.00 0.00 0.00 2
|
| 784 |
+
13 0.40 0.56 0.47 18
|
| 785 |
+
14 0.00 0.00 0.00 3
|
| 786 |
+
15 0.30 1.00 0.46 3
|
| 787 |
+
16 1.00 0.40 0.57 5
|
| 788 |
+
17 0.43 0.86 0.57 14
|
| 789 |
+
18 0.50 0.25 0.33 4
|
| 790 |
+
19 0.00 0.00 0.00 1
|
| 791 |
+
20 0.11 1.00 0.20 1
|
| 792 |
+
21 0.33 1.00 0.50 1
|
| 793 |
+
22 0.80 1.00 0.89 4
|
| 794 |
+
23 0.00 0.00 0.00 1
|
| 795 |
+
24 0.00 0.00 0.00 2
|
| 796 |
+
25 0.38 0.80 0.52 10
|
| 797 |
+
26 1.00 0.71 0.83 7
|
| 798 |
+
27 0.50 0.75 0.60 8
|
| 799 |
+
28 0.67 0.25 0.36 8
|
| 800 |
+
29 0.00 0.00 0.00 1
|
| 801 |
+
30 0.27 0.75 0.40 4
|
| 802 |
+
31 0.00 0.00 0.00 2
|
| 803 |
+
32 0.90 0.84 0.87 32
|
| 804 |
+
33 0.50 1.00 0.67 4
|
| 805 |
+
34 0.33 0.67 0.44 3
|
| 806 |
+
35 1.00 0.86 0.92 7
|
| 807 |
+
36 0.00 0.00 0.00 0
|
| 808 |
+
37 1.00 1.00 1.00 2
|
| 809 |
+
38 0.00 0.00 0.00 0
|
| 810 |
+
39 0.50 0.50 0.50 4
|
| 811 |
+
40 0.21 0.50 0.30 6
|
| 812 |
+
41 0.00 0.00 0.00 0
|
| 813 |
+
42 0.00 0.00 0.00 4
|
| 814 |
+
43 0.69 0.77 0.73 47
|
| 815 |
+
44 0.00 0.00 0.00 1
|
| 816 |
+
45 0.41 0.88 0.56 8
|
| 817 |
+
46 0.00 0.00 0.00 0
|
| 818 |
+
47 0.33 0.50 0.40 2
|
| 819 |
+
48 0.50 0.33 0.40 3
|
| 820 |
+
49 0.00 0.00 0.00 0
|
| 821 |
+
|
| 822 |
+
micro avg 0.47 0.68 0.56 307
|
| 823 |
+
macro avg 0.36 0.48 0.38 307
|
| 824 |
+
weighted avg 0.53 0.68 0.56 307
|
| 825 |
+
samples avg 0.21 0.25 0.21 307
|
| 826 |
+
|
| 827 |
+
> epoch: 14
|
| 828 |
+
precision recall f1-score support
|
| 829 |
+
|
| 830 |
+
0 0.27 0.67 0.38 6
|
| 831 |
+
1 1.00 1.00 1.00 1
|
| 832 |
+
2 0.00 0.00 0.00 2
|
| 833 |
+
3 0.32 0.62 0.42 13
|
| 834 |
+
4 0.50 0.50 0.50 2
|
| 835 |
+
5 0.57 0.50 0.53 8
|
| 836 |
+
6 0.55 0.60 0.57 10
|
| 837 |
+
7 0.67 1.00 0.80 2
|
| 838 |
+
8 0.54 1.00 0.70 7
|
| 839 |
+
9 0.60 0.75 0.67 8
|
| 840 |
+
10 0.33 1.00 0.50 1
|
| 841 |
+
11 0.45 0.92 0.61 25
|
| 842 |
+
12 0.00 0.00 0.00 2
|
| 843 |
+
13 0.42 0.44 0.43 18
|
| 844 |
+
14 0.00 0.00 0.00 3
|
| 845 |
+
15 0.30 1.00 0.46 3
|
| 846 |
+
16 1.00 0.40 0.57 5
|
| 847 |
+
17 0.30 0.86 0.44 14
|
| 848 |
+
18 0.50 0.25 0.33 4
|
| 849 |
+
19 0.00 0.00 0.00 1
|
| 850 |
+
20 0.17 1.00 0.29 1
|
| 851 |
+
21 0.00 0.00 0.00 1
|
| 852 |
+
22 1.00 1.00 1.00 4
|
| 853 |
+
23 0.00 0.00 0.00 1
|
| 854 |
+
24 0.00 0.00 0.00 2
|
| 855 |
+
25 0.47 0.80 0.59 10
|
| 856 |
+
26 0.83 0.71 0.77 7
|
| 857 |
+
27 0.58 0.88 0.70 8
|
| 858 |
+
28 0.75 0.75 0.75 8
|
| 859 |
+
29 0.00 0.00 0.00 1
|
| 860 |
+
30 0.16 0.75 0.26 4
|
| 861 |
+
31 0.00 0.00 0.00 2
|
| 862 |
+
32 0.84 0.84 0.84 32
|
| 863 |
+
33 0.50 0.75 0.60 4
|
| 864 |
+
34 0.25 0.67 0.36 3
|
| 865 |
+
35 1.00 0.86 0.92 7
|
| 866 |
+
36 0.00 0.00 0.00 0
|
| 867 |
+
37 1.00 1.00 1.00 2
|
| 868 |
+
38 0.00 0.00 0.00 0
|
| 869 |
+
39 0.50 0.50 0.50 4
|
| 870 |
+
40 0.27 0.67 0.38 6
|
| 871 |
+
41 0.00 0.00 0.00 0
|
| 872 |
+
42 0.00 0.00 0.00 4
|
| 873 |
+
43 0.59 0.81 0.68 47
|
| 874 |
+
44 0.00 0.00 0.00 1
|
| 875 |
+
45 0.50 0.75 0.60 8
|
| 876 |
+
46 0.00 0.00 0.00 0
|
| 877 |
+
47 0.20 0.50 0.29 2
|
| 878 |
+
48 0.75 1.00 0.86 3
|
| 879 |
+
49 0.00 0.00 0.00 0
|
| 880 |
+
|
| 881 |
+
micro avg 0.47 0.71 0.57 307
|
| 882 |
+
macro avg 0.37 0.51 0.41 307
|
| 883 |
+
weighted avg 0.53 0.71 0.58 307
|
| 884 |
+
samples avg 0.23 0.26 0.23 307
|
| 885 |
+
|
| 886 |
+
> epoch: 15
|
| 887 |
+
precision recall f1-score support
|
| 888 |
+
|
| 889 |
+
0 0.33 0.67 0.44 6
|
| 890 |
+
1 1.00 1.00 1.00 1
|
| 891 |
+
2 0.33 0.50 0.40 2
|
| 892 |
+
3 0.35 0.54 0.42 13
|
| 893 |
+
4 0.00 0.00 0.00 2
|
| 894 |
+
5 0.67 0.50 0.57 8
|
| 895 |
+
6 0.50 0.40 0.44 10
|
| 896 |
+
7 0.50 1.00 0.67 2
|
| 897 |
+
8 0.54 1.00 0.70 7
|
| 898 |
+
9 0.64 0.88 0.74 8
|
| 899 |
+
10 1.00 1.00 1.00 1
|
| 900 |
+
11 0.51 0.84 0.64 25
|
| 901 |
+
12 0.00 0.00 0.00 2
|
| 902 |
+
13 0.47 0.50 0.49 18
|
| 903 |
+
14 0.00 0.00 0.00 3
|
| 904 |
+
15 0.50 1.00 0.67 3
|
| 905 |
+
16 1.00 0.40 0.57 5
|
| 906 |
+
17 0.40 0.86 0.55 14
|
| 907 |
+
18 0.33 0.25 0.29 4
|
| 908 |
+
19 0.00 0.00 0.00 1
|
| 909 |
+
20 0.17 1.00 0.29 1
|
| 910 |
+
21 0.00 0.00 0.00 1
|
| 911 |
+
22 0.80 1.00 0.89 4
|
| 912 |
+
23 0.00 0.00 0.00 1
|
| 913 |
+
24 0.00 0.00 0.00 2
|
| 914 |
+
25 0.53 0.80 0.64 10
|
| 915 |
+
26 0.86 0.86 0.86 7
|
| 916 |
+
27 0.58 0.88 0.70 8
|
| 917 |
+
28 0.71 0.62 0.67 8
|
| 918 |
+
29 0.00 0.00 0.00 1
|
| 919 |
+
30 0.27 0.75 0.40 4
|
| 920 |
+
31 0.00 0.00 0.00 2
|
| 921 |
+
32 0.90 0.84 0.87 32
|
| 922 |
+
33 0.60 0.75 0.67 4
|
| 923 |
+
34 0.17 0.33 0.22 3
|
| 924 |
+
35 0.60 0.86 0.71 7
|
| 925 |
+
36 0.00 0.00 0.00 0
|
| 926 |
+
37 1.00 1.00 1.00 2
|
| 927 |
+
38 0.00 0.00 0.00 0
|
| 928 |
+
39 0.50 0.50 0.50 4
|
| 929 |
+
40 0.25 0.67 0.36 6
|
| 930 |
+
41 0.00 0.00 0.00 0
|
| 931 |
+
42 0.00 0.00 0.00 4
|
| 932 |
+
43 0.60 0.79 0.68 47
|
| 933 |
+
44 0.00 0.00 0.00 1
|
| 934 |
+
45 0.43 0.75 0.55 8
|
| 935 |
+
46 0.00 0.00 0.00 0
|
| 936 |
+
47 0.25 0.50 0.33 2
|
| 937 |
+
48 0.67 0.67 0.67 3
|
| 938 |
+
49 0.00 0.00 0.00 0
|
| 939 |
+
|
| 940 |
+
micro avg 0.50 0.69 0.58 307
|
| 941 |
+
macro avg 0.38 0.50 0.41 307
|
| 942 |
+
weighted avg 0.54 0.69 0.59 307
|
| 943 |
+
samples avg 0.22 0.25 0.22 307
|
| 944 |
+
|
| 945 |
+
> epoch: 16
|
| 946 |
+
precision recall f1-score support
|
| 947 |
+
|
| 948 |
+
0 0.31 0.67 0.42 6
|
| 949 |
+
1 1.00 1.00 1.00 1
|
| 950 |
+
2 0.00 0.00 0.00 2
|
| 951 |
+
3 0.27 0.62 0.37 13
|
| 952 |
+
4 0.50 1.00 0.67 2
|
| 953 |
+
5 0.50 0.50 0.50 8
|
| 954 |
+
6 0.25 0.30 0.27 10
|
| 955 |
+
7 0.67 1.00 0.80 2
|
| 956 |
+
8 0.50 1.00 0.67 7
|
| 957 |
+
9 0.54 0.88 0.67 8
|
| 958 |
+
10 0.00 0.00 0.00 1
|
| 959 |
+
11 0.44 0.92 0.60 25
|
| 960 |
+
12 0.00 0.00 0.00 2
|
| 961 |
+
13 0.35 0.61 0.45 18
|
| 962 |
+
14 0.00 0.00 0.00 3
|
| 963 |
+
15 0.23 1.00 0.38 3
|
| 964 |
+
16 1.00 0.40 0.57 5
|
| 965 |
+
17 0.44 0.86 0.59 14
|
| 966 |
+
18 0.25 0.25 0.25 4
|
| 967 |
+
19 0.00 0.00 0.00 1
|
| 968 |
+
20 0.17 1.00 0.29 1
|
| 969 |
+
21 0.20 1.00 0.33 1
|
| 970 |
+
22 0.67 1.00 0.80 4
|
| 971 |
+
23 0.00 0.00 0.00 1
|
| 972 |
+
24 0.00 0.00 0.00 2
|
| 973 |
+
25 0.53 0.90 0.67 10
|
| 974 |
+
26 1.00 0.71 0.83 7
|
| 975 |
+
27 0.42 1.00 0.59 8
|
| 976 |
+
28 0.71 0.62 0.67 8
|
| 977 |
+
29 0.00 0.00 0.00 1
|
| 978 |
+
30 0.33 0.75 0.46 4
|
| 979 |
+
31 0.00 0.00 0.00 2
|
| 980 |
+
32 0.82 0.84 0.83 32
|
| 981 |
+
33 0.67 1.00 0.80 4
|
| 982 |
+
34 0.25 0.67 0.36 3
|
| 983 |
+
35 0.88 1.00 0.93 7
|
| 984 |
+
36 0.00 0.00 0.00 0
|
| 985 |
+
37 1.00 1.00 1.00 2
|
| 986 |
+
38 0.00 0.00 0.00 0
|
| 987 |
+
39 0.50 0.50 0.50 4
|
| 988 |
+
40 0.27 0.67 0.38 6
|
| 989 |
+
41 0.00 0.00 0.00 0
|
| 990 |
+
42 0.00 0.00 0.00 4
|
| 991 |
+
43 0.56 0.87 0.68 47
|
| 992 |
+
44 0.00 0.00 0.00 1
|
| 993 |
+
45 0.38 0.75 0.50 8
|
| 994 |
+
46 0.00 0.00 0.00 0
|
| 995 |
+
47 0.33 0.50 0.40 2
|
| 996 |
+
48 0.67 0.67 0.67 3
|
| 997 |
+
49 0.00 0.00 0.00 0
|
| 998 |
+
|
| 999 |
+
micro avg 0.46 0.73 0.56 307
|
| 1000 |
+
macro avg 0.35 0.53 0.40 307
|
| 1001 |
+
weighted avg 0.50 0.73 0.57 307
|
| 1002 |
+
samples avg 0.23 0.26 0.24 307
|
| 1003 |
+
|
| 1004 |
+
> epoch: 17
|
| 1005 |
+
precision recall f1-score support
|
| 1006 |
+
|
| 1007 |
+
0 0.50 0.83 0.62 6
|
| 1008 |
+
1 1.00 1.00 1.00 1
|
| 1009 |
+
2 0.00 0.00 0.00 2
|
| 1010 |
+
3 0.41 0.54 0.47 13
|
| 1011 |
+
4 0.33 0.50 0.40 2
|
| 1012 |
+
5 0.50 0.50 0.50 8
|
| 1013 |
+
6 0.50 0.50 0.50 10
|
| 1014 |
+
7 0.67 1.00 0.80 2
|
| 1015 |
+
8 0.55 0.86 0.67 7
|
| 1016 |
+
9 0.70 0.88 0.78 8
|
| 1017 |
+
10 0.00 0.00 0.00 1
|
| 1018 |
+
11 0.53 0.84 0.65 25
|
| 1019 |
+
12 0.00 0.00 0.00 2
|
| 1020 |
+
13 0.44 0.61 0.51 18
|
| 1021 |
+
14 0.00 0.00 0.00 3
|
| 1022 |
+
15 0.25 1.00 0.40 3
|
| 1023 |
+
16 1.00 0.60 0.75 5
|
| 1024 |
+
17 0.44 0.86 0.59 14
|
| 1025 |
+
18 0.50 0.25 0.33 4
|
| 1026 |
+
19 0.00 0.00 0.00 1
|
| 1027 |
+
20 0.20 1.00 0.33 1
|
| 1028 |
+
21 0.00 0.00 0.00 1
|
| 1029 |
+
22 1.00 1.00 1.00 4
|
| 1030 |
+
23 0.00 0.00 0.00 1
|
| 1031 |
+
24 0.00 0.00 0.00 2
|
| 1032 |
+
25 0.58 0.70 0.64 10
|
| 1033 |
+
26 1.00 0.71 0.83 7
|
| 1034 |
+
27 0.46 0.75 0.57 8
|
| 1035 |
+
28 0.60 0.38 0.46 8
|
| 1036 |
+
29 0.00 0.00 0.00 1
|
| 1037 |
+
30 0.27 0.75 0.40 4
|
| 1038 |
+
31 0.00 0.00 0.00 2
|
| 1039 |
+
32 0.84 0.84 0.84 32
|
| 1040 |
+
33 0.67 1.00 0.80 4
|
| 1041 |
+
34 0.67 0.67 0.67 3
|
| 1042 |
+
35 1.00 1.00 1.00 7
|
| 1043 |
+
36 0.00 0.00 0.00 0
|
| 1044 |
+
37 1.00 1.00 1.00 2
|
| 1045 |
+
38 0.00 0.00 0.00 0
|
| 1046 |
+
39 0.50 0.50 0.50 4
|
| 1047 |
+
40 0.25 0.33 0.29 6
|
| 1048 |
+
41 0.00 0.00 0.00 0
|
| 1049 |
+
42 0.00 0.00 0.00 4
|
| 1050 |
+
43 0.57 0.85 0.68 47
|
| 1051 |
+
44 0.00 0.00 0.00 1
|
| 1052 |
+
45 0.46 0.75 0.57 8
|
| 1053 |
+
46 0.00 0.00 0.00 0
|
| 1054 |
+
47 0.50 0.50 0.50 2
|
| 1055 |
+
48 0.50 0.33 0.40 3
|
| 1056 |
+
49 0.00 0.00 0.00 0
|
| 1057 |
+
|
| 1058 |
+
micro avg 0.54 0.69 0.60 307
|
| 1059 |
+
macro avg 0.39 0.48 0.41 307
|
| 1060 |
+
weighted avg 0.55 0.69 0.60 307
|
| 1061 |
+
samples avg 0.24 0.25 0.24 307
|
| 1062 |
+
|
| 1063 |
+
> epoch: 18
|
| 1064 |
+
precision recall f1-score support
|
| 1065 |
+
|
| 1066 |
+
0 0.40 0.67 0.50 6
|
| 1067 |
+
1 1.00 1.00 1.00 1
|
| 1068 |
+
2 0.00 0.00 0.00 2
|
| 1069 |
+
3 0.47 0.54 0.50 13
|
| 1070 |
+
4 0.50 0.50 0.50 2
|
| 1071 |
+
5 0.67 0.50 0.57 8
|
| 1072 |
+
6 0.40 0.40 0.40 10
|
| 1073 |
+
7 0.50 1.00 0.67 2
|
| 1074 |
+
8 0.45 0.71 0.56 7
|
| 1075 |
+
9 0.64 0.88 0.74 8
|
| 1076 |
+
10 0.00 0.00 0.00 1
|
| 1077 |
+
11 0.54 0.84 0.66 25
|
| 1078 |
+
12 0.00 0.00 0.00 2
|
| 1079 |
+
13 0.52 0.67 0.59 18
|
| 1080 |
+
14 0.00 0.00 0.00 3
|
| 1081 |
+
15 0.33 1.00 0.50 3
|
| 1082 |
+
16 1.00 0.20 0.33 5
|
| 1083 |
+
17 0.46 0.86 0.60 14
|
| 1084 |
+
18 0.50 0.25 0.33 4
|
| 1085 |
+
19 0.00 0.00 0.00 1
|
| 1086 |
+
20 0.20 1.00 0.33 1
|
| 1087 |
+
21 0.00 0.00 0.00 1
|
| 1088 |
+
22 1.00 1.00 1.00 4
|
| 1089 |
+
23 0.00 0.00 0.00 1
|
| 1090 |
+
24 0.00 0.00 0.00 2
|
| 1091 |
+
25 0.44 0.70 0.54 10
|
| 1092 |
+
26 1.00 0.71 0.83 7
|
| 1093 |
+
27 0.55 0.75 0.63 8
|
| 1094 |
+
28 0.60 0.38 0.46 8
|
| 1095 |
+
29 0.00 0.00 0.00 1
|
| 1096 |
+
30 0.38 0.75 0.50 4
|
| 1097 |
+
31 0.00 0.00 0.00 2
|
| 1098 |
+
32 0.82 0.88 0.85 32
|
| 1099 |
+
33 0.67 1.00 0.80 4
|
| 1100 |
+
34 0.25 0.33 0.29 3
|
| 1101 |
+
35 1.00 1.00 1.00 7
|
| 1102 |
+
36 0.00 0.00 0.00 0
|
| 1103 |
+
37 1.00 1.00 1.00 2
|
| 1104 |
+
38 0.00 0.00 0.00 0
|
| 1105 |
+
39 1.00 0.50 0.67 4
|
| 1106 |
+
40 0.36 0.67 0.47 6
|
| 1107 |
+
41 0.00 0.00 0.00 0
|
| 1108 |
+
42 0.00 0.00 0.00 4
|
| 1109 |
+
43 0.66 0.81 0.72 47
|
| 1110 |
+
44 0.00 0.00 0.00 1
|
| 1111 |
+
45 0.50 0.75 0.60 8
|
| 1112 |
+
46 0.00 0.00 0.00 0
|
| 1113 |
+
47 0.50 0.50 0.50 2
|
| 1114 |
+
48 0.60 1.00 0.75 3
|
| 1115 |
+
49 0.00 0.00 0.00 0
|
| 1116 |
+
|
| 1117 |
+
micro avg 0.56 0.68 0.61 307
|
| 1118 |
+
macro avg 0.40 0.47 0.41 307
|
| 1119 |
+
weighted avg 0.57 0.68 0.60 307
|
| 1120 |
+
samples avg 0.23 0.25 0.23 307
|
| 1121 |
+
|
| 1122 |
+
> epoch: 19
|
| 1123 |
+
precision recall f1-score support
|
| 1124 |
+
|
| 1125 |
+
0 0.50 0.83 0.62 6
|
| 1126 |
+
1 1.00 1.00 1.00 1
|
| 1127 |
+
2 0.00 0.00 0.00 2
|
| 1128 |
+
3 0.44 0.54 0.48 13
|
| 1129 |
+
4 1.00 0.50 0.67 2
|
| 1130 |
+
5 0.40 0.50 0.44 8
|
| 1131 |
+
6 0.50 0.50 0.50 10
|
| 1132 |
+
7 0.50 1.00 0.67 2
|
| 1133 |
+
8 0.54 1.00 0.70 7
|
| 1134 |
+
9 0.70 0.88 0.78 8
|
| 1135 |
+
10 0.00 0.00 0.00 1
|
| 1136 |
+
11 0.56 0.88 0.69 25
|
| 1137 |
+
12 0.00 0.00 0.00 2
|
| 1138 |
+
13 0.48 0.67 0.56 18
|
| 1139 |
+
14 0.00 0.00 0.00 3
|
| 1140 |
+
15 0.43 1.00 0.60 3
|
| 1141 |
+
16 1.00 0.60 0.75 5
|
| 1142 |
+
17 0.38 0.86 0.52 14
|
| 1143 |
+
18 0.50 0.25 0.33 4
|
| 1144 |
+
19 0.00 0.00 0.00 1
|
| 1145 |
+
20 0.17 1.00 0.29 1
|
| 1146 |
+
21 0.00 0.00 0.00 1
|
| 1147 |
+
22 0.80 1.00 0.89 4
|
| 1148 |
+
23 0.00 0.00 0.00 1
|
| 1149 |
+
24 0.00 0.00 0.00 2
|
| 1150 |
+
25 0.54 0.70 0.61 10
|
| 1151 |
+
26 1.00 0.71 0.83 7
|
| 1152 |
+
27 0.60 0.75 0.67 8
|
| 1153 |
+
28 0.62 0.62 0.62 8
|
| 1154 |
+
29 0.00 0.00 0.00 1
|
| 1155 |
+
30 0.27 0.75 0.40 4
|
| 1156 |
+
31 0.00 0.00 0.00 2
|
| 1157 |
+
32 0.82 0.88 0.85 32
|
| 1158 |
+
33 0.57 1.00 0.73 4
|
| 1159 |
+
34 0.33 0.67 0.44 3
|
| 1160 |
+
35 1.00 1.00 1.00 7
|
| 1161 |
+
36 0.00 0.00 0.00 0
|
| 1162 |
+
37 1.00 1.00 1.00 2
|
| 1163 |
+
38 0.00 0.00 0.00 0
|
| 1164 |
+
39 0.50 0.50 0.50 4
|
| 1165 |
+
40 0.44 0.67 0.53 6
|
| 1166 |
+
41 0.00 0.00 0.00 0
|
| 1167 |
+
42 0.00 0.00 0.00 4
|
| 1168 |
+
43 0.67 0.81 0.73 47
|
| 1169 |
+
44 0.00 0.00 0.00 1
|
| 1170 |
+
45 0.46 0.75 0.57 8
|
| 1171 |
+
46 0.00 0.00 0.00 0
|
| 1172 |
+
47 0.50 0.50 0.50 2
|
| 1173 |
+
48 0.33 0.33 0.33 3
|
| 1174 |
+
49 0.00 0.00 0.00 0
|
| 1175 |
+
|
| 1176 |
+
micro avg 0.55 0.71 0.62 307
|
| 1177 |
+
macro avg 0.39 0.49 0.42 307
|
| 1178 |
+
weighted avg 0.57 0.71 0.62 307
|
| 1179 |
+
samples avg 0.24 0.26 0.24 307
|
| 1180 |
+
|
| 1181 |
+
> epoch: 20
|
| 1182 |
+
precision recall f1-score support
|
| 1183 |
+
|
| 1184 |
+
0 0.50 0.83 0.62 6
|
| 1185 |
+
1 1.00 1.00 1.00 1
|
| 1186 |
+
2 0.33 0.50 0.40 2
|
| 1187 |
+
3 0.44 0.54 0.48 13
|
| 1188 |
+
4 0.00 0.00 0.00 2
|
| 1189 |
+
5 0.50 0.50 0.50 8
|
| 1190 |
+
6 0.39 0.70 0.50 10
|
| 1191 |
+
7 0.50 1.00 0.67 2
|
| 1192 |
+
8 0.47 1.00 0.64 7
|
| 1193 |
+
9 0.70 0.88 0.78 8
|
| 1194 |
+
10 0.00 0.00 0.00 1
|
| 1195 |
+
11 0.60 0.84 0.70 25
|
| 1196 |
+
12 0.00 0.00 0.00 2
|
| 1197 |
+
13 0.48 0.61 0.54 18
|
| 1198 |
+
14 0.00 0.00 0.00 3
|
| 1199 |
+
15 0.33 1.00 0.50 3
|
| 1200 |
+
16 0.75 0.60 0.67 5
|
| 1201 |
+
17 0.41 0.86 0.56 14
|
| 1202 |
+
18 0.33 0.25 0.29 4
|
| 1203 |
+
19 0.00 0.00 0.00 1
|
| 1204 |
+
20 0.20 1.00 0.33 1
|
| 1205 |
+
21 0.00 0.00 0.00 1
|
| 1206 |
+
22 0.80 1.00 0.89 4
|
| 1207 |
+
23 0.00 0.00 0.00 1
|
| 1208 |
+
24 0.00 0.00 0.00 2
|
| 1209 |
+
25 0.58 0.70 0.64 10
|
| 1210 |
+
26 0.83 0.71 0.77 7
|
| 1211 |
+
27 0.57 1.00 0.73 8
|
| 1212 |
+
28 0.71 0.62 0.67 8
|
| 1213 |
+
29 0.00 0.00 0.00 1
|
| 1214 |
+
30 0.25 0.75 0.38 4
|
| 1215 |
+
31 0.00 0.00 0.00 2
|
| 1216 |
+
32 0.85 0.88 0.86 32
|
| 1217 |
+
33 0.67 1.00 0.80 4
|
| 1218 |
+
34 0.50 0.67 0.57 3
|
| 1219 |
+
35 1.00 1.00 1.00 7
|
| 1220 |
+
36 0.00 0.00 0.00 0
|
| 1221 |
+
37 1.00 1.00 1.00 2
|
| 1222 |
+
38 0.00 0.00 0.00 0
|
| 1223 |
+
39 0.67 0.50 0.57 4
|
| 1224 |
+
40 0.36 0.67 0.47 6
|
| 1225 |
+
41 0.00 0.00 0.00 0
|
| 1226 |
+
42 0.00 0.00 0.00 4
|
| 1227 |
+
43 0.62 0.81 0.70 47
|
| 1228 |
+
44 0.00 0.00 0.00 1
|
| 1229 |
+
45 0.43 0.75 0.55 8
|
| 1230 |
+
46 0.00 0.00 0.00 0
|
| 1231 |
+
47 0.50 0.50 0.50 2
|
| 1232 |
+
48 0.50 0.67 0.57 3
|
| 1233 |
+
49 0.00 0.00 0.00 0
|
| 1234 |
+
|
| 1235 |
+
micro avg 0.54 0.72 0.62 307
|
| 1236 |
+
macro avg 0.38 0.51 0.42 307
|
| 1237 |
+
weighted avg 0.55 0.72 0.62 307
|
| 1238 |
+
samples avg 0.24 0.26 0.25 307
|
| 1239 |
+
|
| 1240 |
+
> epoch: 21
|
| 1241 |
+
precision recall f1-score support
|
| 1242 |
+
|
| 1243 |
+
0 0.38 1.00 0.55 6
|
| 1244 |
+
1 1.00 1.00 1.00 1
|
| 1245 |
+
2 0.00 0.00 0.00 2
|
| 1246 |
+
3 0.42 0.62 0.50 13
|
| 1247 |
+
4 0.00 0.00 0.00 2
|
| 1248 |
+
5 0.71 0.62 0.67 8
|
| 1249 |
+
6 0.40 0.60 0.48 10
|
| 1250 |
+
7 0.67 1.00 0.80 2
|
| 1251 |
+
8 0.64 1.00 0.78 7
|
| 1252 |
+
9 0.64 0.88 0.74 8
|
| 1253 |
+
10 1.00 1.00 1.00 1
|
| 1254 |
+
11 0.53 0.84 0.65 25
|
| 1255 |
+
12 0.00 0.00 0.00 2
|
| 1256 |
+
13 0.50 0.67 0.57 18
|
| 1257 |
+
14 0.00 0.00 0.00 3
|
| 1258 |
+
15 0.27 1.00 0.43 3
|
| 1259 |
+
16 0.75 0.60 0.67 5
|
| 1260 |
+
17 0.43 0.86 0.57 14
|
| 1261 |
+
18 0.33 0.25 0.29 4
|
| 1262 |
+
19 0.00 0.00 0.00 1
|
| 1263 |
+
20 0.20 1.00 0.33 1
|
| 1264 |
+
21 0.00 0.00 0.00 1
|
| 1265 |
+
22 0.80 1.00 0.89 4
|
| 1266 |
+
23 0.00 0.00 0.00 1
|
| 1267 |
+
24 0.00 0.00 0.00 2
|
| 1268 |
+
25 0.50 0.80 0.62 10
|
| 1269 |
+
26 0.83 0.71 0.77 7
|
| 1270 |
+
27 0.38 0.75 0.50 8
|
| 1271 |
+
28 0.71 0.62 0.67 8
|
| 1272 |
+
29 0.00 0.00 0.00 1
|
| 1273 |
+
30 0.43 0.75 0.55 4
|
| 1274 |
+
31 0.00 0.00 0.00 2
|
| 1275 |
+
32 0.84 0.84 0.84 32
|
| 1276 |
+
33 0.67 1.00 0.80 4
|
| 1277 |
+
34 0.33 0.67 0.44 3
|
| 1278 |
+
35 1.00 1.00 1.00 7
|
| 1279 |
+
36 0.00 0.00 0.00 0
|
| 1280 |
+
37 1.00 1.00 1.00 2
|
| 1281 |
+
38 0.00 0.00 0.00 0
|
| 1282 |
+
39 0.67 0.50 0.57 4
|
| 1283 |
+
40 0.36 0.67 0.47 6
|
| 1284 |
+
41 0.00 0.00 0.00 0
|
| 1285 |
+
42 0.00 0.00 0.00 4
|
| 1286 |
+
43 0.60 0.81 0.69 47
|
| 1287 |
+
44 0.00 0.00 0.00 1
|
| 1288 |
+
45 0.40 0.75 0.52 8
|
| 1289 |
+
46 0.00 0.00 0.00 0
|
| 1290 |
+
47 0.67 1.00 0.80 2
|
| 1291 |
+
48 0.50 0.33 0.40 3
|
| 1292 |
+
49 0.00 0.00 0.00 0
|
| 1293 |
+
|
| 1294 |
+
micro avg 0.52 0.72 0.61 307
|
| 1295 |
+
macro avg 0.39 0.52 0.43 307
|
| 1296 |
+
weighted avg 0.55 0.72 0.61 307
|
| 1297 |
+
samples avg 0.24 0.26 0.25 307
|
| 1298 |
+
|
| 1299 |
+
> epoch: 22
|
| 1300 |
+
precision recall f1-score support
|
| 1301 |
+
|
| 1302 |
+
0 0.56 0.83 0.67 6
|
| 1303 |
+
1 1.00 1.00 1.00 1
|
| 1304 |
+
2 0.00 0.00 0.00 2
|
| 1305 |
+
3 0.50 0.54 0.52 13
|
| 1306 |
+
4 0.00 0.00 0.00 2
|
| 1307 |
+
5 1.00 0.50 0.67 8
|
| 1308 |
+
6 0.30 0.30 0.30 10
|
| 1309 |
+
7 0.67 1.00 0.80 2
|
| 1310 |
+
8 0.56 0.71 0.62 7
|
| 1311 |
+
9 0.70 0.88 0.78 8
|
| 1312 |
+
10 0.50 1.00 0.67 1
|
| 1313 |
+
11 0.56 0.88 0.69 25
|
| 1314 |
+
12 0.00 0.00 0.00 2
|
| 1315 |
+
13 0.59 0.56 0.57 18
|
| 1316 |
+
14 0.00 0.00 0.00 3
|
| 1317 |
+
15 0.33 1.00 0.50 3
|
| 1318 |
+
16 1.00 0.60 0.75 5
|
| 1319 |
+
17 0.32 0.86 0.46 14
|
| 1320 |
+
18 0.33 0.25 0.29 4
|
| 1321 |
+
19 0.00 0.00 0.00 1
|
| 1322 |
+
20 0.20 1.00 0.33 1
|
| 1323 |
+
21 1.00 1.00 1.00 1
|
| 1324 |
+
22 1.00 1.00 1.00 4
|
| 1325 |
+
23 0.00 0.00 0.00 1
|
| 1326 |
+
24 0.00 0.00 0.00 2
|
| 1327 |
+
25 0.58 0.70 0.64 10
|
| 1328 |
+
26 1.00 0.71 0.83 7
|
| 1329 |
+
27 0.64 0.88 0.74 8
|
| 1330 |
+
28 0.71 0.62 0.67 8
|
| 1331 |
+
29 0.00 0.00 0.00 1
|
| 1332 |
+
30 0.43 0.75 0.55 4
|
| 1333 |
+
31 0.00 0.00 0.00 2
|
| 1334 |
+
32 0.87 0.84 0.86 32
|
| 1335 |
+
33 0.67 1.00 0.80 4
|
| 1336 |
+
34 0.33 0.33 0.33 3
|
| 1337 |
+
35 1.00 1.00 1.00 7
|
| 1338 |
+
36 0.00 0.00 0.00 0
|
| 1339 |
+
37 1.00 1.00 1.00 2
|
| 1340 |
+
38 0.00 0.00 0.00 0
|
| 1341 |
+
39 0.33 0.25 0.29 4
|
| 1342 |
+
40 0.50 0.67 0.57 6
|
| 1343 |
+
41 0.00 0.00 0.00 0
|
| 1344 |
+
42 0.00 0.00 0.00 4
|
| 1345 |
+
43 0.64 0.79 0.70 47
|
| 1346 |
+
44 0.00 0.00 0.00 1
|
| 1347 |
+
45 0.50 0.75 0.60 8
|
| 1348 |
+
46 0.00 0.00 0.00 0
|
| 1349 |
+
47 0.50 0.50 0.50 2
|
| 1350 |
+
48 0.75 1.00 0.86 3
|
| 1351 |
+
49 0.00 0.00 0.00 0
|
| 1352 |
+
|
| 1353 |
+
micro avg 0.58 0.69 0.63 307
|
| 1354 |
+
macro avg 0.43 0.51 0.45 307
|
| 1355 |
+
weighted avg 0.59 0.69 0.62 307
|
| 1356 |
+
samples avg 0.24 0.25 0.24 307
|
| 1357 |
+
|
| 1358 |
+
> epoch: 23
|
| 1359 |
+
precision recall f1-score support
|
| 1360 |
+
|
| 1361 |
+
0 0.56 0.83 0.67 6
|
| 1362 |
+
1 1.00 1.00 1.00 1
|
| 1363 |
+
2 0.25 0.50 0.33 2
|
| 1364 |
+
3 0.54 0.54 0.54 13
|
| 1365 |
+
4 0.00 0.00 0.00 2
|
| 1366 |
+
5 0.50 0.62 0.56 8
|
| 1367 |
+
6 0.29 0.40 0.33 10
|
| 1368 |
+
7 0.67 1.00 0.80 2
|
| 1369 |
+
8 0.58 1.00 0.74 7
|
| 1370 |
+
9 0.70 0.88 0.78 8
|
| 1371 |
+
10 0.00 0.00 0.00 1
|
| 1372 |
+
11 0.57 0.84 0.68 25
|
| 1373 |
+
12 0.00 0.00 0.00 2
|
| 1374 |
+
13 0.55 0.61 0.58 18
|
| 1375 |
+
14 0.00 0.00 0.00 3
|
| 1376 |
+
15 0.25 0.67 0.36 3
|
| 1377 |
+
16 0.75 0.60 0.67 5
|
| 1378 |
+
17 0.38 0.79 0.51 14
|
| 1379 |
+
18 0.33 0.25 0.29 4
|
| 1380 |
+
19 0.00 0.00 0.00 1
|
| 1381 |
+
20 0.17 1.00 0.29 1
|
| 1382 |
+
21 0.25 1.00 0.40 1
|
| 1383 |
+
22 1.00 1.00 1.00 4
|
| 1384 |
+
23 0.00 0.00 0.00 1
|
| 1385 |
+
24 0.00 0.00 0.00 2
|
| 1386 |
+
25 0.73 0.80 0.76 10
|
| 1387 |
+
26 0.83 0.71 0.77 7
|
| 1388 |
+
27 0.67 0.75 0.71 8
|
| 1389 |
+
28 0.71 0.62 0.67 8
|
| 1390 |
+
29 0.00 0.00 0.00 1
|
| 1391 |
+
30 0.30 0.75 0.43 4
|
| 1392 |
+
31 0.00 0.00 0.00 2
|
| 1393 |
+
32 0.84 0.84 0.84 32
|
| 1394 |
+
33 0.67 1.00 0.80 4
|
| 1395 |
+
34 0.33 0.67 0.44 3
|
| 1396 |
+
35 1.00 1.00 1.00 7
|
| 1397 |
+
36 0.00 0.00 0.00 0
|
| 1398 |
+
37 0.67 1.00 0.80 2
|
| 1399 |
+
38 0.00 0.00 0.00 0
|
| 1400 |
+
39 0.67 0.50 0.57 4
|
| 1401 |
+
40 0.40 0.67 0.50 6
|
| 1402 |
+
41 0.00 0.00 0.00 0
|
| 1403 |
+
42 0.00 0.00 0.00 4
|
| 1404 |
+
43 0.64 0.77 0.70 47
|
| 1405 |
+
44 0.00 0.00 0.00 1
|
| 1406 |
+
45 0.46 0.75 0.57 8
|
| 1407 |
+
46 0.00 0.00 0.00 0
|
| 1408 |
+
47 0.50 0.50 0.50 2
|
| 1409 |
+
48 0.67 0.67 0.67 3
|
| 1410 |
+
49 0.00 0.00 0.00 0
|
| 1411 |
+
|
| 1412 |
+
micro avg 0.56 0.70 0.62 307
|
| 1413 |
+
macro avg 0.39 0.51 0.42 307
|
| 1414 |
+
weighted avg 0.57 0.70 0.62 307
|
| 1415 |
+
samples avg 0.23 0.25 0.24 307
|
| 1416 |
+
|
| 1417 |
+
> epoch: 24
|
| 1418 |
+
precision recall f1-score support
|
| 1419 |
+
|
| 1420 |
+
0 0.50 0.67 0.57 6
|
| 1421 |
+
1 1.00 1.00 1.00 1
|
| 1422 |
+
2 0.00 0.00 0.00 2
|
| 1423 |
+
3 0.47 0.62 0.53 13
|
| 1424 |
+
4 0.00 0.00 0.00 2
|
| 1425 |
+
5 0.67 0.50 0.57 8
|
| 1426 |
+
6 0.40 0.40 0.40 10
|
| 1427 |
+
7 0.67 1.00 0.80 2
|
| 1428 |
+
8 0.47 1.00 0.64 7
|
| 1429 |
+
9 0.70 0.88 0.78 8
|
| 1430 |
+
10 0.00 0.00 0.00 1
|
| 1431 |
+
11 0.49 0.92 0.64 25
|
| 1432 |
+
12 0.00 0.00 0.00 2
|
| 1433 |
+
13 0.52 0.67 0.59 18
|
| 1434 |
+
14 0.00 0.00 0.00 3
|
| 1435 |
+
15 0.33 0.67 0.44 3
|
| 1436 |
+
16 1.00 0.40 0.57 5
|
| 1437 |
+
17 0.40 0.71 0.51 14
|
| 1438 |
+
18 0.33 0.25 0.29 4
|
| 1439 |
+
19 0.00 0.00 0.00 1
|
| 1440 |
+
20 0.20 1.00 0.33 1
|
| 1441 |
+
21 0.50 1.00 0.67 1
|
| 1442 |
+
22 0.80 1.00 0.89 4
|
| 1443 |
+
23 0.00 0.00 0.00 1
|
| 1444 |
+
24 0.00 0.00 0.00 2
|
| 1445 |
+
25 0.67 0.80 0.73 10
|
| 1446 |
+
26 0.83 0.71 0.77 7
|
| 1447 |
+
27 0.53 1.00 0.70 8
|
| 1448 |
+
28 0.71 0.62 0.67 8
|
| 1449 |
+
29 0.00 0.00 0.00 1
|
| 1450 |
+
30 0.33 0.75 0.46 4
|
| 1451 |
+
31 0.00 0.00 0.00 2
|
| 1452 |
+
32 0.90 0.84 0.87 32
|
| 1453 |
+
33 0.80 1.00 0.89 4
|
| 1454 |
+
34 0.50 0.67 0.57 3
|
| 1455 |
+
35 1.00 1.00 1.00 7
|
| 1456 |
+
36 0.00 0.00 0.00 0
|
| 1457 |
+
37 1.00 1.00 1.00 2
|
| 1458 |
+
38 0.00 0.00 0.00 0
|
| 1459 |
+
39 1.00 0.50 0.67 4
|
| 1460 |
+
40 0.33 0.50 0.40 6
|
| 1461 |
+
41 0.00 0.00 0.00 0
|
| 1462 |
+
42 0.00 0.00 0.00 4
|
| 1463 |
+
43 0.67 0.77 0.71 47
|
| 1464 |
+
44 0.00 0.00 0.00 1
|
| 1465 |
+
45 0.55 0.75 0.63 8
|
| 1466 |
+
46 0.00 0.00 0.00 0
|
| 1467 |
+
47 0.67 1.00 0.80 2
|
| 1468 |
+
48 0.50 0.67 0.57 3
|
| 1469 |
+
49 0.00 0.00 0.00 0
|
| 1470 |
+
|
| 1471 |
+
micro avg 0.57 0.70 0.63 307
|
| 1472 |
+
macro avg 0.41 0.51 0.43 307
|
| 1473 |
+
weighted avg 0.58 0.70 0.62 307
|
| 1474 |
+
samples avg 0.24 0.25 0.24 307
|
| 1475 |
+
|
| 1476 |
+
> epoch: 25
|
| 1477 |
+
precision recall f1-score support
|
| 1478 |
+
|
| 1479 |
+
0 0.71 0.83 0.77 6
|
| 1480 |
+
1 1.00 1.00 1.00 1
|
| 1481 |
+
2 0.00 0.00 0.00 2
|
| 1482 |
+
3 0.53 0.62 0.57 13
|
| 1483 |
+
4 0.00 0.00 0.00 2
|
| 1484 |
+
5 0.80 0.50 0.62 8
|
| 1485 |
+
6 0.58 0.70 0.64 10
|
| 1486 |
+
7 0.67 1.00 0.80 2
|
| 1487 |
+
8 0.64 1.00 0.78 7
|
| 1488 |
+
9 0.70 0.88 0.78 8
|
| 1489 |
+
10 0.00 0.00 0.00 1
|
| 1490 |
+
11 0.55 0.84 0.67 25
|
| 1491 |
+
12 0.00 0.00 0.00 2
|
| 1492 |
+
13 0.56 0.50 0.53 18
|
| 1493 |
+
14 0.00 0.00 0.00 3
|
| 1494 |
+
15 0.50 1.00 0.67 3
|
| 1495 |
+
16 0.75 0.60 0.67 5
|
| 1496 |
+
17 0.40 0.86 0.55 14
|
| 1497 |
+
18 0.50 0.25 0.33 4
|
| 1498 |
+
19 0.00 0.00 0.00 1
|
| 1499 |
+
20 0.20 1.00 0.33 1
|
| 1500 |
+
21 0.00 0.00 0.00 1
|
| 1501 |
+
22 1.00 1.00 1.00 4
|
| 1502 |
+
23 0.00 0.00 0.00 1
|
| 1503 |
+
24 0.00 0.00 0.00 2
|
| 1504 |
+
25 0.50 0.70 0.58 10
|
| 1505 |
+
26 1.00 0.71 0.83 7
|
| 1506 |
+
27 0.55 0.75 0.63 8
|
| 1507 |
+
28 0.71 0.62 0.67 8
|
| 1508 |
+
29 0.00 0.00 0.00 1
|
| 1509 |
+
30 0.38 0.75 0.50 4
|
| 1510 |
+
31 0.00 0.00 0.00 2
|
| 1511 |
+
32 0.90 0.84 0.87 32
|
| 1512 |
+
33 0.67 1.00 0.80 4
|
| 1513 |
+
34 0.67 0.67 0.67 3
|
| 1514 |
+
35 1.00 1.00 1.00 7
|
| 1515 |
+
36 0.00 0.00 0.00 0
|
| 1516 |
+
37 1.00 1.00 1.00 2
|
| 1517 |
+
38 0.00 0.00 0.00 0
|
| 1518 |
+
39 0.67 0.50 0.57 4
|
| 1519 |
+
40 0.40 0.33 0.36 6
|
| 1520 |
+
41 0.00 0.00 0.00 0
|
| 1521 |
+
42 0.00 0.00 0.00 4
|
| 1522 |
+
43 0.56 0.81 0.66 47
|
| 1523 |
+
44 0.00 0.00 0.00 1
|
| 1524 |
+
45 0.46 0.75 0.57 8
|
| 1525 |
+
46 0.00 0.00 0.00 0
|
| 1526 |
+
47 0.50 0.50 0.50 2
|
| 1527 |
+
48 0.50 0.67 0.57 3
|
| 1528 |
+
49 0.00 0.00 0.00 0
|
| 1529 |
+
|
| 1530 |
+
micro avg 0.59 0.70 0.64 307
|
| 1531 |
+
macro avg 0.41 0.48 0.43 307
|
| 1532 |
+
weighted avg 0.59 0.70 0.62 307
|
| 1533 |
+
samples avg 0.24 0.26 0.24 307
|
| 1534 |
+
|
| 1535 |
+
> epoch: 26
|
| 1536 |
+
precision recall f1-score support
|
| 1537 |
+
|
| 1538 |
+
0 0.62 0.83 0.71 6
|
| 1539 |
+
1 1.00 1.00 1.00 1
|
| 1540 |
+
2 0.33 0.50 0.40 2
|
| 1541 |
+
3 0.40 0.77 0.53 13
|
| 1542 |
+
4 0.00 0.00 0.00 2
|
| 1543 |
+
5 0.80 0.50 0.62 8
|
| 1544 |
+
6 0.50 0.30 0.38 10
|
| 1545 |
+
7 0.67 1.00 0.80 2
|
| 1546 |
+
8 0.43 0.86 0.57 7
|
| 1547 |
+
9 0.70 0.88 0.78 8
|
| 1548 |
+
10 0.00 0.00 0.00 1
|
| 1549 |
+
11 0.66 0.76 0.70 25
|
| 1550 |
+
12 0.00 0.00 0.00 2
|
| 1551 |
+
13 0.56 0.56 0.56 18
|
| 1552 |
+
14 0.00 0.00 0.00 3
|
| 1553 |
+
15 0.43 1.00 0.60 3
|
| 1554 |
+
16 0.75 0.60 0.67 5
|
| 1555 |
+
17 0.41 0.79 0.54 14
|
| 1556 |
+
18 0.33 0.25 0.29 4
|
| 1557 |
+
19 0.00 0.00 0.00 1
|
| 1558 |
+
20 0.20 1.00 0.33 1
|
| 1559 |
+
21 0.00 0.00 0.00 1
|
| 1560 |
+
22 0.80 1.00 0.89 4
|
| 1561 |
+
23 0.00 0.00 0.00 1
|
| 1562 |
+
24 0.00 0.00 0.00 2
|
| 1563 |
+
25 0.58 0.70 0.64 10
|
| 1564 |
+
26 1.00 0.71 0.83 7
|
| 1565 |
+
27 0.64 0.88 0.74 8
|
| 1566 |
+
28 0.67 0.75 0.71 8
|
| 1567 |
+
29 0.00 0.00 0.00 1
|
| 1568 |
+
30 0.75 0.75 0.75 4
|
| 1569 |
+
31 0.00 0.00 0.00 2
|
| 1570 |
+
32 0.84 0.84 0.84 32
|
| 1571 |
+
33 0.67 1.00 0.80 4
|
| 1572 |
+
34 0.67 0.67 0.67 3
|
| 1573 |
+
35 1.00 1.00 1.00 7
|
| 1574 |
+
36 0.00 0.00 0.00 0
|
| 1575 |
+
37 1.00 1.00 1.00 2
|
| 1576 |
+
38 0.00 0.00 0.00 0
|
| 1577 |
+
39 0.50 0.25 0.33 4
|
| 1578 |
+
40 0.33 0.50 0.40 6
|
| 1579 |
+
41 0.00 0.00 0.00 0
|
| 1580 |
+
42 0.00 0.00 0.00 4
|
| 1581 |
+
43 0.73 0.74 0.74 47
|
| 1582 |
+
44 0.00 0.00 0.00 1
|
| 1583 |
+
45 0.55 0.75 0.63 8
|
| 1584 |
+
46 0.00 0.00 0.00 0
|
| 1585 |
+
47 0.50 0.50 0.50 2
|
| 1586 |
+
48 0.60 1.00 0.75 3
|
| 1587 |
+
49 0.00 0.00 0.00 0
|
| 1588 |
+
|
| 1589 |
+
micro avg 0.61 0.68 0.64 307
|
| 1590 |
+
macro avg 0.41 0.49 0.43 307
|
| 1591 |
+
weighted avg 0.61 0.68 0.63 307
|
| 1592 |
+
samples avg 0.24 0.25 0.24 307
|
| 1593 |
+
|
| 1594 |
+
> epoch: 27
|
| 1595 |
+
precision recall f1-score support
|
| 1596 |
+
|
| 1597 |
+
0 0.56 0.83 0.67 6
|
| 1598 |
+
1 1.00 1.00 1.00 1
|
| 1599 |
+
2 0.25 0.50 0.33 2
|
| 1600 |
+
3 0.50 0.54 0.52 13
|
| 1601 |
+
4 0.00 0.00 0.00 2
|
| 1602 |
+
5 1.00 0.38 0.55 8
|
| 1603 |
+
6 0.50 0.60 0.55 10
|
| 1604 |
+
7 0.67 1.00 0.80 2
|
| 1605 |
+
8 0.55 0.86 0.67 7
|
| 1606 |
+
9 0.70 0.88 0.78 8
|
| 1607 |
+
10 0.00 0.00 0.00 1
|
| 1608 |
+
11 0.59 0.88 0.71 25
|
| 1609 |
+
12 0.00 0.00 0.00 2
|
| 1610 |
+
13 0.53 0.56 0.54 18
|
| 1611 |
+
14 0.00 0.00 0.00 3
|
| 1612 |
+
15 0.38 1.00 0.55 3
|
| 1613 |
+
16 0.75 0.60 0.67 5
|
| 1614 |
+
17 0.41 0.86 0.56 14
|
| 1615 |
+
18 0.33 0.25 0.29 4
|
| 1616 |
+
19 0.00 0.00 0.00 1
|
| 1617 |
+
20 0.20 1.00 0.33 1
|
| 1618 |
+
21 0.25 1.00 0.40 1
|
| 1619 |
+
22 1.00 1.00 1.00 4
|
| 1620 |
+
23 0.00 0.00 0.00 1
|
| 1621 |
+
24 0.00 0.00 0.00 2
|
| 1622 |
+
25 0.45 0.50 0.48 10
|
| 1623 |
+
26 1.00 0.71 0.83 7
|
| 1624 |
+
27 0.55 0.75 0.63 8
|
| 1625 |
+
28 0.71 0.62 0.67 8
|
| 1626 |
+
29 0.00 0.00 0.00 1
|
| 1627 |
+
30 0.33 0.75 0.46 4
|
| 1628 |
+
31 0.00 0.00 0.00 2
|
| 1629 |
+
32 0.82 0.88 0.85 32
|
| 1630 |
+
33 0.67 1.00 0.80 4
|
| 1631 |
+
34 0.67 0.67 0.67 3
|
| 1632 |
+
35 1.00 1.00 1.00 7
|
| 1633 |
+
36 0.00 0.00 0.00 0
|
| 1634 |
+
37 1.00 1.00 1.00 2
|
| 1635 |
+
38 0.00 0.00 0.00 0
|
| 1636 |
+
39 0.50 0.25 0.33 4
|
| 1637 |
+
40 0.36 0.67 0.47 6
|
| 1638 |
+
41 0.00 0.00 0.00 0
|
| 1639 |
+
42 0.00 0.00 0.00 4
|
| 1640 |
+
43 0.68 0.81 0.74 47
|
| 1641 |
+
44 0.00 0.00 0.00 1
|
| 1642 |
+
45 0.70 0.88 0.78 8
|
| 1643 |
+
46 0.00 0.00 0.00 0
|
| 1644 |
+
47 0.50 0.50 0.50 2
|
| 1645 |
+
48 0.60 1.00 0.75 3
|
| 1646 |
+
49 0.00 0.00 0.00 0
|
| 1647 |
+
|
| 1648 |
+
micro avg 0.59 0.70 0.64 307
|
| 1649 |
+
macro avg 0.41 0.51 0.44 307
|
| 1650 |
+
weighted avg 0.60 0.70 0.63 307
|
| 1651 |
+
samples avg 0.24 0.26 0.24 307
|
| 1652 |
+
|
| 1653 |
+
> epoch: 28
|
| 1654 |
+
precision recall f1-score support
|
| 1655 |
+
|
| 1656 |
+
0 0.62 0.83 0.71 6
|
| 1657 |
+
1 1.00 1.00 1.00 1
|
| 1658 |
+
2 0.00 0.00 0.00 2
|
| 1659 |
+
3 0.54 0.54 0.54 13
|
| 1660 |
+
4 0.00 0.00 0.00 2
|
| 1661 |
+
5 0.80 0.50 0.62 8
|
| 1662 |
+
6 0.40 0.40 0.40 10
|
| 1663 |
+
7 0.67 1.00 0.80 2
|
| 1664 |
+
8 0.60 0.86 0.71 7
|
| 1665 |
+
9 0.70 0.88 0.78 8
|
| 1666 |
+
10 0.00 0.00 0.00 1
|
| 1667 |
+
11 0.55 0.88 0.68 25
|
| 1668 |
+
12 0.00 0.00 0.00 2
|
| 1669 |
+
13 0.56 0.56 0.56 18
|
| 1670 |
+
14 0.00 0.00 0.00 3
|
| 1671 |
+
15 0.60 1.00 0.75 3
|
| 1672 |
+
16 0.75 0.60 0.67 5
|
| 1673 |
+
17 0.42 0.79 0.55 14
|
| 1674 |
+
18 0.33 0.25 0.29 4
|
| 1675 |
+
19 0.00 0.00 0.00 1
|
| 1676 |
+
20 0.20 1.00 0.33 1
|
| 1677 |
+
21 0.00 0.00 0.00 1
|
| 1678 |
+
22 1.00 1.00 1.00 4
|
| 1679 |
+
23 0.00 0.00 0.00 1
|
| 1680 |
+
24 0.00 0.00 0.00 2
|
| 1681 |
+
25 0.50 0.40 0.44 10
|
| 1682 |
+
26 1.00 0.71 0.83 7
|
| 1683 |
+
27 0.60 0.75 0.67 8
|
| 1684 |
+
28 0.71 0.62 0.67 8
|
| 1685 |
+
29 0.00 0.00 0.00 1
|
| 1686 |
+
30 0.38 0.75 0.50 4
|
| 1687 |
+
31 0.00 0.00 0.00 2
|
| 1688 |
+
32 0.84 0.84 0.84 32
|
| 1689 |
+
33 0.67 1.00 0.80 4
|
| 1690 |
+
34 0.50 0.67 0.57 3
|
| 1691 |
+
35 1.00 1.00 1.00 7
|
| 1692 |
+
36 0.00 0.00 0.00 0
|
| 1693 |
+
37 1.00 1.00 1.00 2
|
| 1694 |
+
38 0.00 0.00 0.00 0
|
| 1695 |
+
39 1.00 0.25 0.40 4
|
| 1696 |
+
40 0.33 0.50 0.40 6
|
| 1697 |
+
41 0.00 0.00 0.00 0
|
| 1698 |
+
42 0.00 0.00 0.00 4
|
| 1699 |
+
43 0.66 0.81 0.72 47
|
| 1700 |
+
44 0.00 0.00 0.00 1
|
| 1701 |
+
45 0.58 0.88 0.70 8
|
| 1702 |
+
46 0.00 0.00 0.00 0
|
| 1703 |
+
47 0.50 0.50 0.50 2
|
| 1704 |
+
48 0.67 0.67 0.67 3
|
| 1705 |
+
49 0.00 0.00 0.00 0
|
| 1706 |
+
|
| 1707 |
+
micro avg 0.60 0.68 0.64 307
|
| 1708 |
+
macro avg 0.41 0.47 0.42 307
|
| 1709 |
+
weighted avg 0.60 0.68 0.62 307
|
| 1710 |
+
samples avg 0.24 0.25 0.24 307
|
| 1711 |
+
|
| 1712 |
+
> epoch: 29
|
| 1713 |
+
precision recall f1-score support
|
| 1714 |
+
|
| 1715 |
+
0 0.56 0.83 0.67 6
|
| 1716 |
+
1 1.00 1.00 1.00 1
|
| 1717 |
+
2 0.20 0.50 0.29 2
|
| 1718 |
+
3 0.50 0.54 0.52 13
|
| 1719 |
+
4 0.00 0.00 0.00 2
|
| 1720 |
+
5 1.00 0.25 0.40 8
|
| 1721 |
+
6 0.40 0.40 0.40 10
|
| 1722 |
+
7 0.67 1.00 0.80 2
|
| 1723 |
+
8 0.55 0.86 0.67 7
|
| 1724 |
+
9 0.58 0.88 0.70 8
|
| 1725 |
+
10 0.00 0.00 0.00 1
|
| 1726 |
+
11 0.59 0.88 0.71 25
|
| 1727 |
+
12 0.00 0.00 0.00 2
|
| 1728 |
+
13 0.48 0.61 0.54 18
|
| 1729 |
+
14 0.00 0.00 0.00 3
|
| 1730 |
+
15 0.38 1.00 0.55 3
|
| 1731 |
+
16 0.75 0.60 0.67 5
|
| 1732 |
+
17 0.39 0.79 0.52 14
|
| 1733 |
+
18 0.40 0.50 0.44 4
|
| 1734 |
+
19 0.00 0.00 0.00 1
|
| 1735 |
+
20 0.20 1.00 0.33 1
|
| 1736 |
+
21 0.00 0.00 0.00 1
|
| 1737 |
+
22 0.80 1.00 0.89 4
|
| 1738 |
+
23 0.00 0.00 0.00 1
|
| 1739 |
+
24 0.00 0.00 0.00 2
|
| 1740 |
+
25 0.50 0.40 0.44 10
|
| 1741 |
+
26 1.00 0.71 0.83 7
|
| 1742 |
+
27 0.47 0.88 0.61 8
|
| 1743 |
+
28 0.71 0.62 0.67 8
|
| 1744 |
+
29 0.00 0.00 0.00 1
|
| 1745 |
+
30 0.30 0.75 0.43 4
|
| 1746 |
+
31 0.00 0.00 0.00 2
|
| 1747 |
+
32 0.84 0.84 0.84 32
|
| 1748 |
+
33 0.80 1.00 0.89 4
|
| 1749 |
+
34 0.50 0.67 0.57 3
|
| 1750 |
+
35 1.00 1.00 1.00 7
|
| 1751 |
+
36 0.00 0.00 0.00 0
|
| 1752 |
+
37 1.00 1.00 1.00 2
|
| 1753 |
+
38 0.00 0.00 0.00 0
|
| 1754 |
+
39 1.00 0.25 0.40 4
|
| 1755 |
+
40 0.40 0.67 0.50 6
|
| 1756 |
+
41 0.00 0.00 0.00 0
|
| 1757 |
+
42 1.00 0.25 0.40 4
|
| 1758 |
+
43 0.64 0.79 0.70 47
|
| 1759 |
+
44 0.00 0.00 0.00 1
|
| 1760 |
+
45 0.60 0.75 0.67 8
|
| 1761 |
+
46 0.00 0.00 0.00 0
|
| 1762 |
+
47 0.33 0.50 0.40 2
|
| 1763 |
+
48 0.75 1.00 0.86 3
|
| 1764 |
+
49 0.00 0.00 0.00 0
|
| 1765 |
+
|
| 1766 |
+
micro avg 0.57 0.69 0.62 307
|
| 1767 |
+
macro avg 0.43 0.49 0.43 307
|
| 1768 |
+
weighted avg 0.60 0.69 0.61 307
|
| 1769 |
+
samples avg 0.24 0.25 0.24 307
|
| 1770 |
+
|
| 1771 |
+
> epoch: 30
|
| 1772 |
+
precision recall f1-score support
|
| 1773 |
+
|
| 1774 |
+
0 0.62 0.83 0.71 6
|
| 1775 |
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1 1.00 1.00 1.00 1
|
| 1776 |
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2 0.25 0.50 0.33 2
|
| 1777 |
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3 0.54 0.54 0.54 13
|
| 1778 |
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4 0.00 0.00 0.00 2
|
| 1779 |
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5 1.00 0.25 0.40 8
|
| 1780 |
+
6 0.50 0.60 0.55 10
|
| 1781 |
+
7 0.67 1.00 0.80 2
|
| 1782 |
+
8 0.55 0.86 0.67 7
|
| 1783 |
+
9 0.70 0.88 0.78 8
|
| 1784 |
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10 1.00 1.00 1.00 1
|
| 1785 |
+
11 0.55 0.84 0.67 25
|
| 1786 |
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12 0.00 0.00 0.00 2
|
| 1787 |
+
13 0.52 0.61 0.56 18
|
| 1788 |
+
14 0.00 0.00 0.00 3
|
| 1789 |
+
15 0.43 1.00 0.60 3
|
| 1790 |
+
16 0.75 0.60 0.67 5
|
| 1791 |
+
17 0.46 0.86 0.60 14
|
| 1792 |
+
18 0.33 0.25 0.29 4
|
| 1793 |
+
19 0.00 0.00 0.00 1
|
| 1794 |
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20 0.20 1.00 0.33 1
|
| 1795 |
+
21 0.50 1.00 0.67 1
|
| 1796 |
+
22 0.80 1.00 0.89 4
|
| 1797 |
+
23 0.00 0.00 0.00 1
|
| 1798 |
+
24 0.00 0.00 0.00 2
|
| 1799 |
+
25 0.62 0.80 0.70 10
|
| 1800 |
+
26 0.71 0.71 0.71 7
|
| 1801 |
+
27 0.54 0.88 0.67 8
|
| 1802 |
+
28 0.71 0.62 0.67 8
|
| 1803 |
+
29 0.00 0.00 0.00 1
|
| 1804 |
+
30 0.30 0.75 0.43 4
|
| 1805 |
+
31 0.00 0.00 0.00 2
|
| 1806 |
+
32 0.82 0.84 0.83 32
|
| 1807 |
+
33 0.80 1.00 0.89 4
|
| 1808 |
+
34 0.40 0.67 0.50 3
|
| 1809 |
+
35 1.00 1.00 1.00 7
|
| 1810 |
+
36 0.00 0.00 0.00 0
|
| 1811 |
+
37 0.67 1.00 0.80 2
|
| 1812 |
+
38 0.00 0.00 0.00 0
|
| 1813 |
+
39 0.33 0.25 0.29 4
|
| 1814 |
+
40 0.36 0.67 0.47 6
|
| 1815 |
+
41 0.00 0.00 0.00 0
|
| 1816 |
+
42 0.00 0.00 0.00 4
|
| 1817 |
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43 0.65 0.83 0.73 47
|
| 1818 |
+
44 0.00 0.00 0.00 1
|
| 1819 |
+
45 0.60 0.75 0.67 8
|
| 1820 |
+
46 0.00 0.00 0.00 0
|
| 1821 |
+
47 0.50 0.50 0.50 2
|
| 1822 |
+
48 0.75 1.00 0.86 3
|
| 1823 |
+
49 0.00 0.00 0.00 0
|
| 1824 |
+
|
| 1825 |
+
micro avg 0.58 0.71 0.64 307
|
| 1826 |
+
macro avg 0.42 0.54 0.45 307
|
| 1827 |
+
weighted avg 0.59 0.71 0.63 307
|
| 1828 |
+
samples avg 0.24 0.26 0.25 307
|
| 1829 |
+
|
| 1830 |
+
> epoch: 31
|
| 1831 |
+
precision recall f1-score support
|
| 1832 |
+
|
| 1833 |
+
0 0.62 0.83 0.71 6
|
| 1834 |
+
1 1.00 1.00 1.00 1
|
| 1835 |
+
2 0.50 0.50 0.50 2
|
| 1836 |
+
3 0.62 0.62 0.62 13
|
| 1837 |
+
4 0.00 0.00 0.00 2
|
| 1838 |
+
5 1.00 0.38 0.55 8
|
| 1839 |
+
6 0.50 0.60 0.55 10
|
| 1840 |
+
7 0.67 1.00 0.80 2
|
| 1841 |
+
8 0.55 0.86 0.67 7
|
| 1842 |
+
9 0.70 0.88 0.78 8
|
| 1843 |
+
10 0.00 0.00 0.00 1
|
| 1844 |
+
11 0.54 0.84 0.66 25
|
| 1845 |
+
12 0.00 0.00 0.00 2
|
| 1846 |
+
13 0.59 0.56 0.57 18
|
| 1847 |
+
14 0.00 0.00 0.00 3
|
| 1848 |
+
15 0.33 1.00 0.50 3
|
| 1849 |
+
16 0.75 0.60 0.67 5
|
| 1850 |
+
17 0.41 0.86 0.56 14
|
| 1851 |
+
18 0.33 0.25 0.29 4
|
| 1852 |
+
19 0.00 0.00 0.00 1
|
| 1853 |
+
20 0.20 1.00 0.33 1
|
| 1854 |
+
21 0.00 0.00 0.00 1
|
| 1855 |
+
22 1.00 1.00 1.00 4
|
| 1856 |
+
23 0.00 0.00 0.00 1
|
| 1857 |
+
24 0.00 0.00 0.00 2
|
| 1858 |
+
25 0.67 0.80 0.73 10
|
| 1859 |
+
26 0.83 0.71 0.77 7
|
| 1860 |
+
27 0.55 0.75 0.63 8
|
| 1861 |
+
28 0.71 0.62 0.67 8
|
| 1862 |
+
29 0.00 0.00 0.00 1
|
| 1863 |
+
30 0.27 0.75 0.40 4
|
| 1864 |
+
31 0.00 0.00 0.00 2
|
| 1865 |
+
32 0.87 0.84 0.86 32
|
| 1866 |
+
33 0.80 1.00 0.89 4
|
| 1867 |
+
34 0.50 0.67 0.57 3
|
| 1868 |
+
35 1.00 1.00 1.00 7
|
| 1869 |
+
36 0.00 0.00 0.00 0
|
| 1870 |
+
37 0.67 1.00 0.80 2
|
| 1871 |
+
38 0.00 0.00 0.00 0
|
| 1872 |
+
39 0.50 0.25 0.33 4
|
| 1873 |
+
40 0.44 0.67 0.53 6
|
| 1874 |
+
41 0.00 0.00 0.00 0
|
| 1875 |
+
42 0.00 0.00 0.00 4
|
| 1876 |
+
43 0.65 0.83 0.73 47
|
| 1877 |
+
44 0.00 0.00 0.00 1
|
| 1878 |
+
45 0.54 0.88 0.67 8
|
| 1879 |
+
46 0.00 0.00 0.00 0
|
| 1880 |
+
47 0.50 0.50 0.50 2
|
| 1881 |
+
48 0.75 1.00 0.86 3
|
| 1882 |
+
49 0.00 0.00 0.00 0
|
| 1883 |
+
|
| 1884 |
+
micro avg 0.59 0.71 0.64 307
|
| 1885 |
+
macro avg 0.41 0.50 0.43 307
|
| 1886 |
+
weighted avg 0.60 0.71 0.64 307
|
| 1887 |
+
samples avg 0.24 0.26 0.24 307
|
| 1888 |
+
|
Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/config.json
ADDED
|
@@ -0,0 +1,131 @@
|
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|
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|
| 1 |
+
{
|
| 2 |
+
"_name_or_path": "bert-base-cased",
|
| 3 |
+
"architectures": [
|
| 4 |
+
"BertForSequenceClassification"
|
| 5 |
+
],
|
| 6 |
+
"attention_probs_dropout_prob": 0.1,
|
| 7 |
+
"classifier_dropout": null,
|
| 8 |
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"gradient_checkpointing": false,
|
| 9 |
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"hidden_act": "gelu",
|
| 10 |
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"hidden_dropout_prob": 0.1,
|
| 11 |
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"hidden_size": 768,
|
| 12 |
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"id2label": {
|
| 13 |
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"0": "T1005",
|
| 14 |
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"1": "T1014",
|
| 15 |
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"2": "T1021",
|
| 16 |
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"3": "T1027",
|
| 17 |
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"4": "T1033",
|
| 18 |
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"5": "T1036",
|
| 19 |
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"6": "T1041",
|
| 20 |
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"7": "T1053",
|
| 21 |
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"8": "T1055",
|
| 22 |
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"9": "T1056",
|
| 23 |
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"10": "T1057",
|
| 24 |
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"11": "T1059",
|
| 25 |
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"12": "T1070",
|
| 26 |
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"13": "T1071",
|
| 27 |
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"14": "T1078",
|
| 28 |
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"15": "T1082",
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| 29 |
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"16": "T1083",
|
| 30 |
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"17": "T1105",
|
| 31 |
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"18": "T1110",
|
| 32 |
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"19": "T1112",
|
| 33 |
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"20": "T1113",
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| 34 |
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"21": "T1115",
|
| 35 |
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"22": "T1125",
|
| 36 |
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"23": "T1132",
|
| 37 |
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"24": "T1137",
|
| 38 |
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"25": "T1140",
|
| 39 |
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"26": "T1189",
|
| 40 |
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"27": "T1190",
|
| 41 |
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"28": "T1195",
|
| 42 |
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"29": "T1203",
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| 43 |
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"30": "T1204",
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| 44 |
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"31": "T1218",
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| 45 |
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"32": "T1486",
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| 46 |
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"33": "T1496",
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| 47 |
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"34": "T1497",
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| 48 |
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"35": "T1499",
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| 49 |
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"36": "T1528",
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| 50 |
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"37": "T1539",
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| 51 |
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"38": "T1543",
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| 52 |
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"39": "T1547",
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| 53 |
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"40": "T1555",
|
| 54 |
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"41": "T1557",
|
| 55 |
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"42": "T1562",
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| 56 |
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"43": "T1566",
|
| 57 |
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"44": "T1571",
|
| 58 |
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"45": "T1573",
|
| 59 |
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"46": "T1583",
|
| 60 |
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"47": "T1587",
|
| 61 |
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"48": "T1589",
|
| 62 |
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"49": "T1606"
|
| 63 |
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},
|
| 64 |
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"initializer_range": 0.02,
|
| 65 |
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"intermediate_size": 3072,
|
| 66 |
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"label2id": {
|
| 67 |
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|
| 68 |
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|
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|
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|
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|
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|
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|
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|
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|
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|
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|
| 86 |
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|
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|
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|
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|
| 90 |
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|
| 91 |
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|
| 92 |
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|
| 93 |
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|
| 94 |
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|
| 95 |
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"T1195": 28,
|
| 96 |
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|
| 97 |
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|
| 98 |
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|
| 99 |
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|
| 100 |
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|
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|
| 102 |
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|
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|
| 104 |
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|
| 105 |
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|
| 106 |
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| 108 |
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|
| 110 |
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| 111 |
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|
| 112 |
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"T1573": 45,
|
| 113 |
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|
| 114 |
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|
| 115 |
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"T1589": 48,
|
| 116 |
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"T1606": 49
|
| 117 |
+
},
|
| 118 |
+
"layer_norm_eps": 1e-12,
|
| 119 |
+
"max_position_embeddings": 512,
|
| 120 |
+
"model_type": "bert",
|
| 121 |
+
"num_attention_heads": 12,
|
| 122 |
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"num_hidden_layers": 12,
|
| 123 |
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"pad_token_id": 0,
|
| 124 |
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"position_embedding_type": "absolute",
|
| 125 |
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"problem_type": "multi_label_classification",
|
| 126 |
+
"torch_dtype": "float32",
|
| 127 |
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"transformers_version": "4.45.2",
|
| 128 |
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"type_vocab_size": 2,
|
| 129 |
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"use_cache": true,
|
| 130 |
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"vocab_size": 28996
|
| 131 |
+
}
|
Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/loss.pdf
ADDED
|
Binary file (15.6 kB). View file
|
|
|
Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/model.safetensors
ADDED
|
@@ -0,0 +1,3 @@
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|
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|
|
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|
| 1 |
+
version https://git-lfs.github.com/spec/v1
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| 2 |
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oid sha256:4bd6189131e13472ff996201e3958a320b3919656398b9328539641222698de4
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| 3 |
+
size 433418416
|
Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/model_params.json
ADDED
|
@@ -0,0 +1,8 @@
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|
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|
| 1 |
+
{
|
| 2 |
+
"epochs": 100,
|
| 3 |
+
"batch_size": 16,
|
| 4 |
+
"freeze_layers": 0,
|
| 5 |
+
"learning_rate": 2e-05,
|
| 6 |
+
"pos_weight": 20,
|
| 7 |
+
"end_factor": 0.7
|
| 8 |
+
}
|
Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/special_tokens_map.json
ADDED
|
@@ -0,0 +1,7 @@
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| 1 |
+
{
|
| 2 |
+
"cls_token": "[CLS]",
|
| 3 |
+
"mask_token": "[MASK]",
|
| 4 |
+
"pad_token": "[PAD]",
|
| 5 |
+
"sep_token": "[SEP]",
|
| 6 |
+
"unk_token": "[UNK]"
|
| 7 |
+
}
|
Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/stats.json
ADDED
|
@@ -0,0 +1,290 @@
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"Validation Time": "0:00:05"
|
| 262 |
+
},
|
| 263 |
+
{
|
| 264 |
+
"epoch": 30,
|
| 265 |
+
"Training Loss": 0.016911809441356836,
|
| 266 |
+
"Valid. Loss": 0.198827445730097,
|
| 267 |
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"Valid. Accur.": 0.7618400621118012,
|
| 268 |
+
"Valid. F1": 0.6616474266474265,
|
| 269 |
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"Training Time": "0:00:49",
|
| 270 |
+
"Validation Time": "0:00:05"
|
| 271 |
+
},
|
| 272 |
+
{
|
| 273 |
+
"epoch": 31,
|
| 274 |
+
"Training Loss": 0.015451187509959023,
|
| 275 |
+
"Valid. Loss": 0.1943195323818147,
|
| 276 |
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"Valid. Accur.": 0.7754270186335404,
|
| 277 |
+
"Valid. F1": 0.6826742058263797,
|
| 278 |
+
"Training Time": "0:00:49",
|
| 279 |
+
"Validation Time": "0:00:05"
|
| 280 |
+
},
|
| 281 |
+
{
|
| 282 |
+
"epoch": 32,
|
| 283 |
+
"Training Loss": 0.014025402849032271,
|
| 284 |
+
"Valid. Loss": 0.19630328044895892,
|
| 285 |
+
"Valid. Accur.": 0.7672748447204968,
|
| 286 |
+
"Valid. F1": 0.6790942551812116,
|
| 287 |
+
"Training Time": "0:00:49",
|
| 288 |
+
"Validation Time": "0:00:05"
|
| 289 |
+
}
|
| 290 |
+
]
|
Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/tokenizer.json
ADDED
|
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Classification/bosch_swipe/1005_bosch_t50_bert-base-cased/tokenizer_config.json
ADDED
|
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|
| 1 |
+
{
|
| 2 |
+
"added_tokens_decoder": {
|
| 3 |
+
"0": {
|
| 4 |
+
"content": "[PAD]",
|
| 5 |
+
"lstrip": false,
|
| 6 |
+
"normalized": false,
|
| 7 |
+
"rstrip": false,
|
| 8 |
+
"single_word": false,
|
| 9 |
+
"special": true
|
| 10 |
+
},
|
| 11 |
+
"100": {
|
| 12 |
+
"content": "[UNK]",
|
| 13 |
+
"lstrip": false,
|
| 14 |
+
"normalized": false,
|
| 15 |
+
"rstrip": false,
|
| 16 |
+
"single_word": false,
|
| 17 |
+
"special": true
|
| 18 |
+
},
|
| 19 |
+
"101": {
|
| 20 |
+
"content": "[CLS]",
|
| 21 |
+
"lstrip": false,
|
| 22 |
+
"normalized": false,
|
| 23 |
+
"rstrip": false,
|
| 24 |
+
"single_word": false,
|
| 25 |
+
"special": true
|
| 26 |
+
},
|
| 27 |
+
"102": {
|
| 28 |
+
"content": "[SEP]",
|
| 29 |
+
"lstrip": false,
|
| 30 |
+
"normalized": false,
|
| 31 |
+
"rstrip": false,
|
| 32 |
+
"single_word": false,
|
| 33 |
+
"special": true
|
| 34 |
+
},
|
| 35 |
+
"103": {
|
| 36 |
+
"content": "[MASK]",
|
| 37 |
+
"lstrip": false,
|
| 38 |
+
"normalized": false,
|
| 39 |
+
"rstrip": false,
|
| 40 |
+
"single_word": false,
|
| 41 |
+
"special": true
|
| 42 |
+
}
|
| 43 |
+
},
|
| 44 |
+
"clean_up_tokenization_spaces": false,
|
| 45 |
+
"cls_token": "[CLS]",
|
| 46 |
+
"do_lower_case": false,
|
| 47 |
+
"mask_token": "[MASK]",
|
| 48 |
+
"model_max_length": 512,
|
| 49 |
+
"pad_token": "[PAD]",
|
| 50 |
+
"sep_token": "[SEP]",
|
| 51 |
+
"strip_accents": null,
|
| 52 |
+
"tokenize_chinese_chars": true,
|
| 53 |
+
"tokenizer_class": "BertTokenizer",
|
| 54 |
+
"unk_token": "[UNK]"
|
| 55 |
+
}
|