Instructions to use Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-cssl-msm-pos with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-cssl-msm-pos with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-cssl-msm-pos", dtype="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +203 -225
- model.safetensors +1 -1
- runs/4-by=2006-psr=0.1/events.out.tfevents.1747471591.yara2.3569921.1 +3 -0
README.md
CHANGED
|
@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
|
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
-
- Loss:
|
| 20 |
-
- Accuracy: 0.
|
| 21 |
-
- Macro F1: 0.
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
@@ -44,233 +44,211 @@ The following hyperparameters were used during training:
|
|
| 44 |
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 45 |
- lr_scheduler_type: linear
|
| 46 |
- lr_scheduler_warmup_steps: 6733
|
| 47 |
-
- training_steps:
|
| 48 |
|
| 49 |
### Training results
|
| 50 |
|
| 51 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
|
| 52 |
|:-------------:|:--------:|:-----:|:---------------:|:--------:|:--------:|
|
| 53 |
-
|
|
| 54 |
-
|
|
| 55 |
-
|
|
| 56 |
-
| 7.
|
| 57 |
-
|
|
| 58 |
-
|
|
| 59 |
-
|
|
| 60 |
-
|
|
| 61 |
-
|
|
| 62 |
-
|
|
| 63 |
-
| 3.
|
| 64 |
-
| 3.
|
| 65 |
-
| 3.
|
| 66 |
-
| 3.
|
| 67 |
-
| 3.
|
| 68 |
-
|
|
| 69 |
-
| 2.
|
| 70 |
-
| 2.
|
| 71 |
-
| 2.
|
| 72 |
-
| 2.
|
| 73 |
-
| 2.
|
| 74 |
-
| 2.
|
| 75 |
-
| 2.
|
| 76 |
-
| 2.
|
| 77 |
-
| 2.
|
| 78 |
-
| 2.
|
| 79 |
-
|
|
| 80 |
-
| 1.
|
| 81 |
-
| 1.
|
| 82 |
-
| 1.
|
| 83 |
-
| 1.
|
| 84 |
-
| 1.
|
| 85 |
-
| 1.
|
| 86 |
-
| 1.
|
| 87 |
-
| 1.
|
| 88 |
-
| 1.
|
| 89 |
-
| 1.
|
| 90 |
-
| 1.
|
| 91 |
-
| 1.
|
| 92 |
-
| 1.
|
| 93 |
-
| 1.
|
| 94 |
-
| 1.
|
| 95 |
-
| 1.
|
| 96 |
-
| 1.
|
| 97 |
-
|
|
| 98 |
-
|
|
| 99 |
-
| 0.
|
| 100 |
-
| 0.
|
| 101 |
-
| 0.
|
| 102 |
-
| 0.
|
| 103 |
-
| 0.
|
| 104 |
-
| 0.
|
| 105 |
-
| 0.
|
| 106 |
-
| 0.
|
| 107 |
-
| 0.
|
| 108 |
-
| 0.
|
| 109 |
-
| 0.
|
| 110 |
-
| 0.
|
| 111 |
-
| 0.
|
| 112 |
-
| 0.
|
| 113 |
-
| 0.
|
| 114 |
-
| 0.
|
| 115 |
-
| 0.
|
| 116 |
-
| 0.
|
| 117 |
-
| 0.
|
| 118 |
-
| 0.
|
| 119 |
-
| 0.
|
| 120 |
-
| 0.
|
| 121 |
-
| 0.
|
| 122 |
-
| 0.
|
| 123 |
-
| 0.
|
| 124 |
-
| 0.
|
| 125 |
-
| 0.
|
| 126 |
-
| 0.
|
| 127 |
-
| 0.
|
| 128 |
-
| 0.
|
| 129 |
-
| 0.
|
| 130 |
-
| 0.
|
| 131 |
-
| 0.
|
| 132 |
-
| 0.
|
| 133 |
-
| 0.
|
| 134 |
-
| 0.
|
| 135 |
-
| 0.
|
| 136 |
-
| 0.
|
| 137 |
-
| 0.
|
| 138 |
-
| 0.
|
| 139 |
-
| 0.
|
| 140 |
-
| 0.
|
| 141 |
-
| 0.
|
| 142 |
-
| 0.
|
| 143 |
-
| 0.
|
| 144 |
-
| 0.
|
| 145 |
-
| 0.
|
| 146 |
-
| 0.
|
| 147 |
-
| 0.
|
| 148 |
-
| 0.
|
| 149 |
-
| 0.
|
| 150 |
-
| 0.
|
| 151 |
-
| 0.
|
| 152 |
-
| 0.
|
| 153 |
-
| 0.
|
| 154 |
-
| 0.
|
| 155 |
-
| 0.
|
| 156 |
-
| 0.
|
| 157 |
-
| 0.
|
| 158 |
-
| 0.
|
| 159 |
-
| 0.
|
| 160 |
-
| 0.
|
| 161 |
-
| 0.
|
| 162 |
-
| 0.
|
| 163 |
-
| 0.
|
| 164 |
-
| 0.
|
| 165 |
-
| 0.
|
| 166 |
-
| 0.
|
| 167 |
-
| 0.
|
| 168 |
-
| 0.
|
| 169 |
-
| 0.
|
| 170 |
-
| 0.
|
| 171 |
-
| 0.
|
| 172 |
-
| 0.
|
| 173 |
-
| 0.
|
| 174 |
-
| 0.
|
| 175 |
-
| 0.
|
| 176 |
-
| 0.
|
| 177 |
-
| 0.
|
| 178 |
-
| 0.
|
| 179 |
-
| 0.
|
| 180 |
-
| 0.
|
| 181 |
-
| 0.
|
| 182 |
-
| 0.
|
| 183 |
-
| 0.
|
| 184 |
-
| 0.
|
| 185 |
-
| 0.
|
| 186 |
-
| 0.
|
| 187 |
-
| 0.
|
| 188 |
-
| 0.
|
| 189 |
-
| 0.
|
| 190 |
-
| 0.
|
| 191 |
-
| 0.
|
| 192 |
-
| 0.
|
| 193 |
-
| 0.
|
| 194 |
-
| 0.
|
| 195 |
-
| 0.
|
| 196 |
-
| 0.
|
| 197 |
-
| 0.
|
| 198 |
-
| 0.
|
| 199 |
-
| 0.
|
| 200 |
-
| 0.
|
| 201 |
-
| 0.
|
| 202 |
-
| 0.
|
| 203 |
-
| 0.
|
| 204 |
-
| 0.
|
| 205 |
-
| 0.
|
| 206 |
-
| 0.
|
| 207 |
-
| 0.
|
| 208 |
-
| 0.
|
| 209 |
-
| 0.
|
| 210 |
-
| 0.
|
| 211 |
-
| 0.
|
| 212 |
-
| 0.
|
| 213 |
-
| 0.
|
| 214 |
-
| 0.
|
| 215 |
-
| 0.
|
| 216 |
-
| 0.
|
| 217 |
-
| 0.
|
| 218 |
-
| 0.
|
| 219 |
-
| 0.
|
| 220 |
-
| 0.
|
| 221 |
-
| 0.
|
| 222 |
-
| 0.
|
| 223 |
-
| 0.
|
| 224 |
-
| 0.
|
| 225 |
-
| 0.
|
| 226 |
-
| 0.
|
| 227 |
-
| 0.
|
| 228 |
-
| 0.
|
| 229 |
-
| 0.
|
| 230 |
-
| 0.
|
| 231 |
-
| 0.
|
| 232 |
-
| 0.
|
| 233 |
-
| 0.
|
| 234 |
-
| 0.
|
| 235 |
-
| 0.
|
| 236 |
-
| 0.
|
| 237 |
-
| 0.
|
| 238 |
-
| 0.
|
| 239 |
-
| 0.
|
| 240 |
-
| 0.
|
| 241 |
-
| 0.
|
| 242 |
-
| 0.
|
| 243 |
-
| 0.
|
| 244 |
-
| 0.
|
| 245 |
-
| 0.
|
| 246 |
-
| 0.
|
| 247 |
-
| 0.
|
| 248 |
-
| 0.
|
| 249 |
-
| 0.
|
| 250 |
-
| 0.
|
| 251 |
-
| 0.
|
| 252 |
-
| 0.1173 | 198.0011 | 34800 | 22.6648 | 0.9123 | 0.7819 |
|
| 253 |
-
| 0.1162 | 199.0011 | 34974 | 22.3425 | 0.9179 | 0.8014 |
|
| 254 |
-
| 0.1268 | 200.0011 | 35148 | 21.0849 | 0.9141 | 0.7886 |
|
| 255 |
-
| 0.1176 | 201.0011 | 35322 | 22.5339 | 0.9085 | 0.7850 |
|
| 256 |
-
| 0.1166 | 202.0011 | 35496 | 21.6219 | 0.9108 | 0.7845 |
|
| 257 |
-
| 0.112 | 203.0011 | 35670 | 22.4102 | 0.9110 | 0.7950 |
|
| 258 |
-
| 0.1204 | 204.0011 | 35844 | 19.5659 | 0.9099 | 0.7899 |
|
| 259 |
-
| 0.1194 | 205.0011 | 36018 | 19.9143 | 0.9148 | 0.7951 |
|
| 260 |
-
| 0.1158 | 206.0011 | 36192 | 20.8213 | 0.9130 | 0.7963 |
|
| 261 |
-
| 0.1143 | 207.0010 | 36366 | 22.3063 | 0.9092 | 0.7917 |
|
| 262 |
-
| 0.1101 | 208.0010 | 36540 | 20.6140 | 0.9133 | 0.7916 |
|
| 263 |
-
| 0.1091 | 209.0010 | 36714 | 18.7691 | 0.9155 | 0.7984 |
|
| 264 |
-
| 0.1193 | 210.0010 | 36888 | 19.4397 | 0.9125 | 0.7924 |
|
| 265 |
-
| 0.1186 | 211.0010 | 37062 | 21.5441 | 0.9118 | 0.7962 |
|
| 266 |
-
| 0.1174 | 212.0010 | 37236 | 22.6313 | 0.9120 | 0.7928 |
|
| 267 |
-
| 0.1188 | 213.0010 | 37410 | 22.9306 | 0.9117 | 0.7955 |
|
| 268 |
-
| 0.1174 | 214.0010 | 37584 | 22.2580 | 0.9151 | 0.8004 |
|
| 269 |
-
| 0.1049 | 215.0010 | 37758 | 23.2098 | 0.9153 | 0.7952 |
|
| 270 |
-
| 0.1095 | 216.0010 | 37932 | 23.5414 | 0.9120 | 0.7960 |
|
| 271 |
-
| 0.1125 | 217.0010 | 38106 | 21.5315 | 0.9148 | 0.7935 |
|
| 272 |
-
| 0.1076 | 218.0010 | 38280 | 22.7590 | 0.9094 | 0.7975 |
|
| 273 |
-
| 0.1063 | 219.0010 | 38454 | 23.7711 | 0.9133 | 0.7988 |
|
| 274 |
|
| 275 |
|
| 276 |
### Framework versions
|
|
|
|
| 16 |
|
| 17 |
This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
|
| 18 |
It achieves the following results on the evaluation set:
|
| 19 |
+
- Loss: 23.4559
|
| 20 |
+
- Accuracy: 0.9009
|
| 21 |
+
- Macro F1: 0.7754
|
| 22 |
|
| 23 |
## Model description
|
| 24 |
|
|
|
|
| 44 |
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
|
| 45 |
- lr_scheduler_type: linear
|
| 46 |
- lr_scheduler_warmup_steps: 6733
|
| 47 |
+
- training_steps: 134675
|
| 48 |
|
| 49 |
### Training results
|
| 50 |
|
| 51 |
| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
|
| 52 |
|:-------------:|:--------:|:-----:|:---------------:|:--------:|:--------:|
|
| 53 |
+
| 66.0414 | 0.0013 | 169 | 45.5066 | 0.0791 | 0.0371 |
|
| 54 |
+
| 30.5662 | 1.0012 | 338 | 99.4357 | 0.1782 | 0.0575 |
|
| 55 |
+
| 9.1897 | 2.0012 | 507 | 276.6117 | 0.4840 | 0.1240 |
|
| 56 |
+
| 7.9539 | 3.0012 | 676 | 256.6143 | 0.5310 | 0.1318 |
|
| 57 |
+
| 7.2233 | 4.0012 | 845 | 254.0057 | 0.5582 | 0.1359 |
|
| 58 |
+
| 6.4464 | 5.0012 | 1014 | 207.8995 | 0.5727 | 0.1422 |
|
| 59 |
+
| 5.9043 | 6.0012 | 1183 | 166.3576 | 0.5842 | 0.1478 |
|
| 60 |
+
| 5.0332 | 7.0012 | 1352 | 96.2979 | 0.6022 | 0.1554 |
|
| 61 |
+
| 4.4072 | 8.0012 | 1521 | 66.5764 | 0.6113 | 0.1644 |
|
| 62 |
+
| 4.0547 | 9.0012 | 1690 | 45.1445 | 0.6179 | 0.1757 |
|
| 63 |
+
| 3.6737 | 10.0012 | 1859 | 33.9848 | 0.6223 | 0.1869 |
|
| 64 |
+
| 3.4285 | 11.0012 | 2028 | 31.1288 | 0.6459 | 0.2052 |
|
| 65 |
+
| 3.3623 | 12.0012 | 2197 | 24.5134 | 0.6210 | 0.2039 |
|
| 66 |
+
| 3.2019 | 13.0012 | 2366 | 23.5971 | 0.6475 | 0.2292 |
|
| 67 |
+
| 3.0474 | 14.0012 | 2535 | 21.7608 | 0.6667 | 0.2426 |
|
| 68 |
+
| 3.0552 | 15.0011 | 2704 | 20.3118 | 0.6611 | 0.2503 |
|
| 69 |
+
| 2.9144 | 16.0011 | 2873 | 19.2699 | 0.6816 | 0.2742 |
|
| 70 |
+
| 2.9418 | 17.0011 | 3042 | 20.1576 | 0.6801 | 0.2907 |
|
| 71 |
+
| 2.7112 | 18.0011 | 3211 | 19.1844 | 0.7020 | 0.3090 |
|
| 72 |
+
| 2.5652 | 19.0011 | 3380 | 19.4100 | 0.7243 | 0.3361 |
|
| 73 |
+
| 2.3628 | 20.0011 | 3549 | 19.0781 | 0.7325 | 0.3545 |
|
| 74 |
+
| 2.3024 | 21.0011 | 3718 | 18.4727 | 0.7443 | 0.3494 |
|
| 75 |
+
| 2.2622 | 22.0011 | 3887 | 19.9322 | 0.7593 | 0.4018 |
|
| 76 |
+
| 2.189 | 23.0011 | 4056 | 20.8379 | 0.7550 | 0.4059 |
|
| 77 |
+
| 2.093 | 24.0011 | 4225 | 20.2433 | 0.7665 | 0.4171 |
|
| 78 |
+
| 2.0585 | 25.0011 | 4394 | 21.6619 | 0.7683 | 0.4442 |
|
| 79 |
+
| 2.0054 | 26.0011 | 4563 | 23.0844 | 0.7739 | 0.4619 |
|
| 80 |
+
| 1.8643 | 27.0011 | 4732 | 22.4391 | 0.7855 | 0.4724 |
|
| 81 |
+
| 1.7645 | 28.0010 | 4901 | 22.5446 | 0.7847 | 0.4661 |
|
| 82 |
+
| 1.776 | 29.0010 | 5070 | 22.9436 | 0.7882 | 0.4698 |
|
| 83 |
+
| 1.658 | 30.0010 | 5239 | 23.9009 | 0.8001 | 0.4911 |
|
| 84 |
+
| 1.6649 | 31.0010 | 5408 | 24.1088 | 0.7925 | 0.4939 |
|
| 85 |
+
| 1.5606 | 32.0010 | 5577 | 24.0639 | 0.7965 | 0.4992 |
|
| 86 |
+
| 1.5835 | 33.0010 | 5746 | 27.6865 | 0.7960 | 0.5065 |
|
| 87 |
+
| 1.5307 | 34.0010 | 5915 | 26.1341 | 0.8099 | 0.5216 |
|
| 88 |
+
| 1.4567 | 35.0010 | 6084 | 26.4864 | 0.7881 | 0.4945 |
|
| 89 |
+
| 1.46 | 36.0010 | 6253 | 26.8242 | 0.8048 | 0.5327 |
|
| 90 |
+
| 1.4324 | 37.0010 | 6422 | 28.5602 | 0.8077 | 0.5220 |
|
| 91 |
+
| 1.2899 | 38.0010 | 6591 | 26.0987 | 0.7862 | 0.5082 |
|
| 92 |
+
| 1.3499 | 39.0010 | 6760 | 27.9458 | 0.8167 | 0.5399 |
|
| 93 |
+
| 1.2951 | 40.0010 | 6929 | 28.6402 | 0.8161 | 0.5581 |
|
| 94 |
+
| 1.2006 | 41.0010 | 7098 | 30.9283 | 0.8068 | 0.5419 |
|
| 95 |
+
| 1.1768 | 42.0009 | 7267 | 29.9452 | 0.8166 | 0.5349 |
|
| 96 |
+
| 1.0844 | 43.0009 | 7436 | 31.9286 | 0.8216 | 0.5637 |
|
| 97 |
+
| 1.1184 | 44.0009 | 7605 | 31.6431 | 0.8192 | 0.5678 |
|
| 98 |
+
| 1.0171 | 45.0009 | 7774 | 34.1279 | 0.8292 | 0.5808 |
|
| 99 |
+
| 0.9654 | 46.0009 | 7943 | 33.3439 | 0.8203 | 0.5461 |
|
| 100 |
+
| 0.9352 | 47.0009 | 8112 | 32.3734 | 0.8273 | 0.5743 |
|
| 101 |
+
| 0.8802 | 48.0009 | 8281 | 35.9858 | 0.8295 | 0.5827 |
|
| 102 |
+
| 0.8829 | 49.0009 | 8450 | 34.7353 | 0.8400 | 0.5957 |
|
| 103 |
+
| 0.8364 | 50.0009 | 8619 | 37.2584 | 0.8285 | 0.5889 |
|
| 104 |
+
| 0.7836 | 51.0009 | 8788 | 37.0566 | 0.8385 | 0.5995 |
|
| 105 |
+
| 0.838 | 52.0009 | 8957 | 33.9240 | 0.8421 | 0.5938 |
|
| 106 |
+
| 0.7214 | 53.0009 | 9126 | 33.5447 | 0.8275 | 0.5900 |
|
| 107 |
+
| 0.6711 | 54.0009 | 9295 | 38.6074 | 0.8452 | 0.6030 |
|
| 108 |
+
| 0.6888 | 55.0008 | 9464 | 36.8002 | 0.8458 | 0.6030 |
|
| 109 |
+
| 0.6462 | 56.0008 | 9633 | 37.6874 | 0.8487 | 0.6123 |
|
| 110 |
+
| 0.6886 | 57.0008 | 9802 | 42.6646 | 0.8540 | 0.6198 |
|
| 111 |
+
| 0.6321 | 58.0008 | 9971 | 38.9915 | 0.8402 | 0.6065 |
|
| 112 |
+
| 0.6019 | 59.0008 | 10140 | 40.9144 | 0.8540 | 0.6343 |
|
| 113 |
+
| 0.6194 | 60.0008 | 10309 | 43.9793 | 0.8545 | 0.6289 |
|
| 114 |
+
| 0.5537 | 61.0008 | 10478 | 41.7022 | 0.8542 | 0.6267 |
|
| 115 |
+
| 0.5573 | 62.0008 | 10647 | 44.5065 | 0.8596 | 0.6349 |
|
| 116 |
+
| 0.5019 | 63.0008 | 10816 | 43.7206 | 0.8564 | 0.6373 |
|
| 117 |
+
| 0.5022 | 64.0008 | 10985 | 43.4715 | 0.8606 | 0.6509 |
|
| 118 |
+
| 0.5034 | 65.0008 | 11154 | 41.7094 | 0.8629 | 0.6459 |
|
| 119 |
+
| 0.4845 | 66.0008 | 11323 | 42.9534 | 0.8630 | 0.6464 |
|
| 120 |
+
| 0.4515 | 67.0008 | 11492 | 42.9021 | 0.8673 | 0.6529 |
|
| 121 |
+
| 0.441 | 68.0007 | 11661 | 47.7305 | 0.8646 | 0.6474 |
|
| 122 |
+
| 0.4571 | 69.0007 | 11830 | 42.0647 | 0.8671 | 0.6584 |
|
| 123 |
+
| 0.418 | 70.0007 | 11999 | 42.9740 | 0.8662 | 0.6581 |
|
| 124 |
+
| 0.4027 | 71.0007 | 12168 | 40.8415 | 0.8664 | 0.6519 |
|
| 125 |
+
| 0.4095 | 72.0007 | 12337 | 42.2218 | 0.8760 | 0.6685 |
|
| 126 |
+
| 0.431 | 73.0007 | 12506 | 39.4808 | 0.8721 | 0.6755 |
|
| 127 |
+
| 0.3972 | 74.0007 | 12675 | 42.3933 | 0.8684 | 0.6679 |
|
| 128 |
+
| 0.3785 | 75.0007 | 12844 | 40.0500 | 0.8677 | 0.6757 |
|
| 129 |
+
| 0.3619 | 76.0007 | 13013 | 35.4613 | 0.8707 | 0.6718 |
|
| 130 |
+
| 0.3676 | 77.0007 | 13182 | 40.6240 | 0.8786 | 0.6812 |
|
| 131 |
+
| 0.3345 | 78.0007 | 13351 | 37.6601 | 0.8776 | 0.6810 |
|
| 132 |
+
| 0.3298 | 79.0007 | 13520 | 39.3323 | 0.8762 | 0.6814 |
|
| 133 |
+
| 0.3288 | 80.0007 | 13689 | 40.3533 | 0.8729 | 0.6793 |
|
| 134 |
+
| 0.3235 | 81.0007 | 13858 | 37.6332 | 0.8773 | 0.6813 |
|
| 135 |
+
| 0.3313 | 82.0006 | 14027 | 36.5068 | 0.8788 | 0.6929 |
|
| 136 |
+
| 0.3058 | 83.0006 | 14196 | 32.8040 | 0.8792 | 0.6933 |
|
| 137 |
+
| 0.2905 | 84.0006 | 14365 | 34.4625 | 0.8746 | 0.6881 |
|
| 138 |
+
| 0.3013 | 85.0006 | 14534 | 34.0483 | 0.8826 | 0.6953 |
|
| 139 |
+
| 0.2914 | 86.0006 | 14703 | 33.4755 | 0.8753 | 0.6959 |
|
| 140 |
+
| 0.3073 | 87.0006 | 14872 | 31.7930 | 0.8820 | 0.6961 |
|
| 141 |
+
| 0.297 | 88.0006 | 15041 | 31.7794 | 0.8793 | 0.6982 |
|
| 142 |
+
| 0.2662 | 89.0006 | 15210 | 32.3469 | 0.8864 | 0.6976 |
|
| 143 |
+
| 0.2752 | 90.0006 | 15379 | 32.7825 | 0.8810 | 0.6953 |
|
| 144 |
+
| 0.2714 | 91.0006 | 15548 | 31.0861 | 0.8825 | 0.6944 |
|
| 145 |
+
| 0.2714 | 92.0006 | 15717 | 34.0008 | 0.8850 | 0.6998 |
|
| 146 |
+
| 0.2784 | 93.0006 | 15886 | 32.7341 | 0.8837 | 0.7031 |
|
| 147 |
+
| 0.2631 | 94.0006 | 16055 | 29.4409 | 0.8867 | 0.7077 |
|
| 148 |
+
| 0.261 | 95.0005 | 16224 | 32.4728 | 0.8865 | 0.7021 |
|
| 149 |
+
| 0.2545 | 96.0005 | 16393 | 31.5098 | 0.8877 | 0.7165 |
|
| 150 |
+
| 0.258 | 97.0005 | 16562 | 32.7634 | 0.8871 | 0.7119 |
|
| 151 |
+
| 0.2527 | 98.0005 | 16731 | 31.0803 | 0.8808 | 0.6998 |
|
| 152 |
+
| 0.2303 | 99.0005 | 16900 | 28.9657 | 0.8836 | 0.7045 |
|
| 153 |
+
| 0.2496 | 100.0005 | 17069 | 29.9879 | 0.8861 | 0.7109 |
|
| 154 |
+
| 0.2392 | 101.0005 | 17238 | 27.7134 | 0.8827 | 0.7140 |
|
| 155 |
+
| 0.2373 | 102.0005 | 17407 | 26.7523 | 0.8856 | 0.7191 |
|
| 156 |
+
| 0.2317 | 103.0005 | 17576 | 28.4120 | 0.8877 | 0.7191 |
|
| 157 |
+
| 0.2287 | 104.0005 | 17745 | 29.3574 | 0.8919 | 0.7252 |
|
| 158 |
+
| 0.2271 | 105.0005 | 17914 | 27.6639 | 0.8865 | 0.7145 |
|
| 159 |
+
| 0.2066 | 106.0005 | 18083 | 28.6502 | 0.8939 | 0.7310 |
|
| 160 |
+
| 0.2074 | 107.0005 | 18252 | 26.7771 | 0.8801 | 0.7141 |
|
| 161 |
+
| 0.2268 | 108.0005 | 18421 | 27.9603 | 0.8860 | 0.7210 |
|
| 162 |
+
| 0.2279 | 109.0004 | 18590 | 28.8001 | 0.8911 | 0.7285 |
|
| 163 |
+
| 0.205 | 110.0004 | 18759 | 28.3425 | 0.8912 | 0.7269 |
|
| 164 |
+
| 0.2197 | 111.0004 | 18928 | 27.3474 | 0.8896 | 0.7213 |
|
| 165 |
+
| 0.2013 | 112.0004 | 19097 | 25.8196 | 0.8875 | 0.7290 |
|
| 166 |
+
| 0.1999 | 113.0004 | 19266 | 24.0100 | 0.8889 | 0.7223 |
|
| 167 |
+
| 0.1955 | 114.0004 | 19435 | 26.0019 | 0.8908 | 0.7231 |
|
| 168 |
+
| 0.2012 | 115.0004 | 19604 | 23.3148 | 0.8928 | 0.7309 |
|
| 169 |
+
| 0.1774 | 116.0004 | 19773 | 26.7032 | 0.8909 | 0.7245 |
|
| 170 |
+
| 0.1962 | 117.0004 | 19942 | 26.8682 | 0.8914 | 0.7331 |
|
| 171 |
+
| 0.1892 | 118.0004 | 20111 | 25.5151 | 0.8932 | 0.7340 |
|
| 172 |
+
| 0.1819 | 119.0004 | 20280 | 24.1410 | 0.8929 | 0.7354 |
|
| 173 |
+
| 0.1864 | 120.0004 | 20449 | 26.2352 | 0.8900 | 0.7310 |
|
| 174 |
+
| 0.1875 | 121.0004 | 20618 | 24.9018 | 0.8939 | 0.7375 |
|
| 175 |
+
| 0.2116 | 122.0003 | 20787 | 24.9070 | 0.8956 | 0.7388 |
|
| 176 |
+
| 0.1708 | 123.0003 | 20956 | 27.1748 | 0.8923 | 0.7337 |
|
| 177 |
+
| 0.1869 | 124.0003 | 21125 | 23.9289 | 0.8982 | 0.7437 |
|
| 178 |
+
| 0.1766 | 125.0003 | 21294 | 23.8033 | 0.8883 | 0.7387 |
|
| 179 |
+
| 0.1819 | 126.0003 | 21463 | 25.1713 | 0.8915 | 0.7372 |
|
| 180 |
+
| 0.1686 | 127.0003 | 21632 | 25.0575 | 0.8924 | 0.7404 |
|
| 181 |
+
| 0.1851 | 128.0003 | 21801 | 23.3824 | 0.8950 | 0.7412 |
|
| 182 |
+
| 0.1719 | 129.0003 | 21970 | 25.3546 | 0.8915 | 0.7403 |
|
| 183 |
+
| 0.1818 | 130.0003 | 22139 | 26.4819 | 0.8975 | 0.7443 |
|
| 184 |
+
| 0.158 | 131.0003 | 22308 | 24.6600 | 0.8929 | 0.7399 |
|
| 185 |
+
| 0.1756 | 132.0003 | 22477 | 25.5931 | 0.8956 | 0.7443 |
|
| 186 |
+
| 0.1665 | 133.0003 | 22646 | 22.5771 | 0.8881 | 0.7420 |
|
| 187 |
+
| 0.1605 | 134.0003 | 22815 | 23.8450 | 0.8959 | 0.7390 |
|
| 188 |
+
| 0.1707 | 135.0003 | 22984 | 23.1730 | 0.8963 | 0.7517 |
|
| 189 |
+
| 0.1546 | 136.0002 | 23153 | 24.5749 | 0.8961 | 0.7431 |
|
| 190 |
+
| 0.1656 | 137.0002 | 23322 | 24.1979 | 0.8946 | 0.7417 |
|
| 191 |
+
| 0.1591 | 138.0002 | 23491 | 22.9945 | 0.8976 | 0.7500 |
|
| 192 |
+
| 0.1804 | 139.0002 | 23660 | 25.5153 | 0.8931 | 0.7361 |
|
| 193 |
+
| 0.1626 | 140.0002 | 23829 | 24.8896 | 0.8966 | 0.7452 |
|
| 194 |
+
| 0.1495 | 141.0002 | 23998 | 23.6014 | 0.8951 | 0.7465 |
|
| 195 |
+
| 0.1728 | 142.0002 | 24167 | 25.7735 | 0.9003 | 0.7579 |
|
| 196 |
+
| 0.154 | 143.0002 | 24336 | 25.9609 | 0.8995 | 0.7498 |
|
| 197 |
+
| 0.1514 | 144.0002 | 24505 | 24.4235 | 0.8939 | 0.7455 |
|
| 198 |
+
| 0.1542 | 145.0002 | 24674 | 25.9741 | 0.8960 | 0.7557 |
|
| 199 |
+
| 0.1498 | 146.0002 | 24843 | 21.3591 | 0.8964 | 0.7473 |
|
| 200 |
+
| 0.1538 | 147.0002 | 25012 | 23.4223 | 0.8987 | 0.7596 |
|
| 201 |
+
| 0.1526 | 148.0002 | 25181 | 23.0419 | 0.8962 | 0.7535 |
|
| 202 |
+
| 0.1514 | 149.0001 | 25350 | 27.1732 | 0.8960 | 0.7513 |
|
| 203 |
+
| 0.1397 | 150.0001 | 25519 | 24.8274 | 0.8945 | 0.7536 |
|
| 204 |
+
| 0.1494 | 151.0001 | 25688 | 24.9705 | 0.8975 | 0.7579 |
|
| 205 |
+
| 0.1458 | 152.0001 | 25857 | 22.6088 | 0.8950 | 0.7519 |
|
| 206 |
+
| 0.1508 | 153.0001 | 26026 | 23.9277 | 0.8997 | 0.7597 |
|
| 207 |
+
| 0.142 | 154.0001 | 26195 | 25.4502 | 0.8994 | 0.7547 |
|
| 208 |
+
| 0.1483 | 155.0001 | 26364 | 24.4340 | 0.9014 | 0.7618 |
|
| 209 |
+
| 0.1549 | 156.0001 | 26533 | 25.2582 | 0.8981 | 0.7560 |
|
| 210 |
+
| 0.1345 | 157.0001 | 26702 | 26.6040 | 0.8970 | 0.7553 |
|
| 211 |
+
| 0.1442 | 158.0001 | 26871 | 24.3967 | 0.8945 | 0.7487 |
|
| 212 |
+
| 0.1452 | 159.0001 | 27040 | 25.1539 | 0.9011 | 0.7601 |
|
| 213 |
+
| 0.143 | 160.0001 | 27209 | 22.0844 | 0.8970 | 0.7583 |
|
| 214 |
+
| 0.1401 | 161.0001 | 27378 | 23.5366 | 0.8954 | 0.7534 |
|
| 215 |
+
| 0.1393 | 162.0001 | 27547 | 25.5086 | 0.8989 | 0.7612 |
|
| 216 |
+
| 0.1448 | 163.0000 | 27716 | 25.0967 | 0.8936 | 0.7555 |
|
| 217 |
+
| 0.143 | 164.0000 | 27885 | 25.3139 | 0.8979 | 0.7568 |
|
| 218 |
+
| 0.1411 | 165.0000 | 28054 | 24.6007 | 0.8957 | 0.7472 |
|
| 219 |
+
| 0.129 | 166.0000 | 28223 | 25.6638 | 0.9022 | 0.7647 |
|
| 220 |
+
| 0.1426 | 167.0000 | 28392 | 24.0550 | 0.8939 | 0.7521 |
|
| 221 |
+
| 0.1364 | 168.0000 | 28561 | 25.6411 | 0.8995 | 0.7631 |
|
| 222 |
+
| 0.1298 | 168.0013 | 28730 | 25.5864 | 0.8996 | 0.7623 |
|
| 223 |
+
| 0.134 | 169.0013 | 28899 | 23.7979 | 0.9030 | 0.7671 |
|
| 224 |
+
| 0.1336 | 170.0012 | 29068 | 21.3434 | 0.9014 | 0.7587 |
|
| 225 |
+
| 0.1353 | 171.0012 | 29237 | 23.2426 | 0.8999 | 0.7584 |
|
| 226 |
+
| 0.1304 | 172.0012 | 29406 | 23.6527 | 0.8982 | 0.7601 |
|
| 227 |
+
| 0.1343 | 173.0012 | 29575 | 21.5944 | 0.8996 | 0.7654 |
|
| 228 |
+
| 0.1333 | 174.0012 | 29744 | 24.0355 | 0.8995 | 0.7599 |
|
| 229 |
+
| 0.1353 | 175.0012 | 29913 | 23.6080 | 0.8994 | 0.7611 |
|
| 230 |
+
| 0.1231 | 176.0012 | 30082 | 21.9364 | 0.9040 | 0.7669 |
|
| 231 |
+
| 0.1242 | 177.0012 | 30251 | 23.4691 | 0.9009 | 0.7754 |
|
| 232 |
+
| 0.1305 | 178.0012 | 30420 | 24.9832 | 0.8961 | 0.7599 |
|
| 233 |
+
| 0.1262 | 179.0012 | 30589 | 23.1082 | 0.9026 | 0.7725 |
|
| 234 |
+
| 0.1386 | 180.0012 | 30758 | 20.7883 | 0.8968 | 0.7614 |
|
| 235 |
+
| 0.1365 | 181.0012 | 30927 | 21.9420 | 0.9010 | 0.7693 |
|
| 236 |
+
| 0.1277 | 182.0012 | 31096 | 23.0758 | 0.8988 | 0.7588 |
|
| 237 |
+
| 0.1289 | 183.0012 | 31265 | 25.0762 | 0.8994 | 0.7637 |
|
| 238 |
+
| 0.124 | 184.0011 | 31434 | 24.0734 | 0.9019 | 0.7713 |
|
| 239 |
+
| 0.1236 | 185.0011 | 31603 | 25.2106 | 0.9018 | 0.7680 |
|
| 240 |
+
| 0.1327 | 186.0011 | 31772 | 21.5374 | 0.9038 | 0.7711 |
|
| 241 |
+
| 0.1174 | 187.0011 | 31941 | 24.6814 | 0.9022 | 0.7684 |
|
| 242 |
+
| 0.1207 | 188.0011 | 32110 | 23.4494 | 0.9009 | 0.7702 |
|
| 243 |
+
| 0.1224 | 189.0011 | 32279 | 24.9296 | 0.8943 | 0.7568 |
|
| 244 |
+
| 0.1237 | 190.0011 | 32448 | 25.2705 | 0.8981 | 0.7645 |
|
| 245 |
+
| 0.1224 | 191.0011 | 32617 | 24.9507 | 0.8991 | 0.7689 |
|
| 246 |
+
| 0.124 | 192.0011 | 32786 | 25.1499 | 0.9016 | 0.7693 |
|
| 247 |
+
| 0.1216 | 193.0011 | 32955 | 23.5471 | 0.9003 | 0.7703 |
|
| 248 |
+
| 0.1134 | 194.0011 | 33124 | 23.3804 | 0.8946 | 0.7629 |
|
| 249 |
+
| 0.1209 | 195.0011 | 33293 | 23.8075 | 0.9011 | 0.7709 |
|
| 250 |
+
| 0.1157 | 196.0011 | 33462 | 27.0996 | 0.8993 | 0.7643 |
|
| 251 |
+
| 0.1214 | 197.0010 | 33631 | 24.5687 | 0.8963 | 0.7633 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 252 |
|
| 253 |
|
| 254 |
### Framework versions
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 126037432
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:91900d37f80e11b1fecae84b5f99e7898d9cc4ee32de4b0eeb6a40e38d94376a
|
| 3 |
size 126037432
|
runs/4-by=2006-psr=0.1/events.out.tfevents.1747471591.yara2.3569921.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:864a40df74beb39c31a68b2db31a041c95e38085d643f3e8ecb42f8d34f16700
|
| 3 |
+
size 470
|