Instructions to use Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-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-msm-pos with Transformers:
# Load model directly from transformers import HiTrans model = HiTrans.from_pretrained("Arthur-Tsai/ht-stmini-cls-v6_ftis_noPretrain-msm-pos", dtype="auto") - Notebooks
- Google Colab
- Kaggle
End of training
Browse files- README.md +167 -213
- model.safetensors +1 -1
- runs/0-by=2006-psr=0.5/events.out.tfevents.1747579730.yara2.90455.1 +3 -0
README.md
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@@ -16,9 +16,9 @@ should probably proofread and complete it, then remove this comment. -->
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss:
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- Accuracy: 0.
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- Macro F1: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
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|:-------------:|:--------:|:-----:|:---------------:|:--------:|:--------:|
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| 0.0276 | 164.0015 | 33330 | 1.0221 | 0.9402 | 0.8431 |
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| 0.0266 | 165.0015 | 33532 | 1.0262 | 0.9404 | 0.8476 |
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| 0.0256 | 166.0015 | 33734 | 0.9846 | 0.9396 | 0.8426 |
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| 0.0255 | 167.0015 | 33936 | 0.9476 | 0.9434 | 0.8509 |
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| 0.0264 | 168.0015 | 34138 | 0.8982 | 0.9436 | 0.8305 |
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| 0.0249 | 169.0015 | 34340 | 0.9160 | 0.9420 | 0.8455 |
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| 0.0252 | 170.0015 | 34542 | 0.9905 | 0.9422 | 0.8283 |
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| 0.0285 | 171.0015 | 34744 | 0.9653 | 0.9415 | 0.8406 |
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| 0.0286 | 172.0015 | 34946 | 0.9691 | 0.9415 | 0.8445 |
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| 0.0333 | 173.0015 | 35148 | 0.9424 | 0.9405 | 0.8421 |
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| 0.0252 | 174.0015 | 35350 | 0.9120 | 0.9434 | 0.8485 |
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| 0.0245 | 175.0015 | 35552 | 1.0208 | 0.9429 | 0.8278 |
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| 0.0214 | 176.0015 | 35754 | 0.9905 | 0.9425 | 0.8302 |
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| 0.0248 | 177.0015 | 35956 | 0.9479 | 0.9439 | 0.8288 |
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| 0.0242 | 178.0015 | 36158 | 0.9858 | 0.9443 | 0.8525 |
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| 0.0236 | 179.0015 | 36360 | 1.0952 | 0.9416 | 0.8255 |
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| 0.0206 | 180.0015 | 36562 | 1.1354 | 0.9418 | 0.8276 |
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| 0.0223 | 181.0015 | 36764 | 0.9461 | 0.9427 | 0.8295 |
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| 0.0226 | 182.0015 | 36966 | 0.9072 | 0.9445 | 0.8334 |
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| 0.0249 | 183.0015 | 37168 | 1.1476 | 0.9386 | 0.8449 |
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| 0.0263 | 184.0015 | 37370 | 0.8881 | 0.9421 | 0.8321 |
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| 0.0248 | 185.0015 | 37572 | 0.9298 | 0.9422 | 0.8537 |
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| 0.0216 | 186.0015 | 37774 | 0.9200 | 0.9425 | 0.8352 |
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| 0.0217 | 187.0015 | 37976 | 0.9245 | 0.9455 | 0.8526 |
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| 0.0214 | 188.0015 | 38178 | 1.0350 | 0.9405 | 0.8252 |
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| 0.022 | 189.0015 | 38380 | 0.8831 | 0.9455 | 0.8570 |
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| 0.0206 | 190.0015 | 38582 | 0.8855 | 0.9448 | 0.8361 |
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| 0.021 | 191.0015 | 38784 | 0.9974 | 0.9444 | 0.8513 |
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| 0.0226 | 192.0015 | 38986 | 0.9566 | 0.9420 | 0.8506 |
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| 0.0199 | 193.0015 | 39188 | 0.8891 | 0.9454 | 0.8328 |
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| 0.0237 | 194.0015 | 39390 | 0.9330 | 0.9431 | 0.8525 |
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| 0.0206 | 195.0015 | 39592 | 0.8964 | 0.9441 | 0.8327 |
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| 0.0209 | 196.0015 | 39794 | 0.9579 | 0.9450 | 0.8326 |
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| 0.0199 | 197.0015 | 39996 | 0.9376 | 0.9447 | 0.8342 |
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| 0.0218 | 198.0015 | 40198 | 0.8677 | 0.9454 | 0.8358 |
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| 0.0217 | 199.0015 | 40400 | 1.0234 | 0.9375 | 0.8222 |
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| 0.0229 | 200.0015 | 40602 | 0.9920 | 0.9379 | 0.8282 |
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| 0.0195 | 201.0015 | 40804 | 1.0083 | 0.9457 | 0.8355 |
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| 0.0215 | 202.0015 | 41006 | 0.9446 | 0.9464 | 0.8368 |
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| 0.02 | 203.0015 | 41208 | 0.9566 | 0.9449 | 0.8359 |
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| 0.0194 | 204.0015 | 41410 | 0.8834 | 0.9438 | 0.8543 |
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| 0.0185 | 205.0015 | 41612 | 0.9536 | 0.9454 | 0.8362 |
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| 0.0216 | 206.0015 | 41814 | 0.8942 | 0.9458 | 0.8558 |
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| 0.0178 | 207.0015 | 42016 | 1.0467 | 0.9412 | 0.8317 |
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| 0.0176 | 208.0015 | 42218 | 0.9006 | 0.9468 | 0.8365 |
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| 0.0223 | 209.0015 | 42420 | 0.8957 | 0.9429 | 0.8341 |
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### Framework versions
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This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 1.0729
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- Accuracy: 0.9326
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- Macro F1: 0.8250
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Macro F1 |
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|:-------------:|:--------:|:-----:|:---------------:|:--------:|:--------:|
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| 33.0066 | 0.0014 | 183 | 28.9941 | 0.1277 | 0.0481 |
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| 11.1343 | 1.0014 | 366 | 78.2820 | 0.3181 | 0.0803 |
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| 6.8288 | 2.0013 | 549 | 102.8325 | 0.4972 | 0.1243 |
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| 5.6931 | 3.0013 | 732 | 129.0265 | 0.5510 | 0.1337 |
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| 4.8612 | 4.0013 | 915 | 89.1424 | 0.5718 | 0.1392 |
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| 4.4996 | 5.0013 | 1098 | 58.6911 | 0.5882 | 0.1498 |
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| 3.6078 | 6.0013 | 1281 | 45.3883 | 0.6053 | 0.1553 |
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| 3.3073 | 7.0013 | 1464 | 36.1961 | 0.5959 | 0.1596 |
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| 3.0631 | 8.0013 | 1647 | 30.5549 | 0.6024 | 0.1695 |
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| 2.8203 | 9.0013 | 1830 | 23.8463 | 0.6013 | 0.1645 |
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| 2.6434 | 10.0013 | 2013 | 18.6308 | 0.6354 | 0.1866 |
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| 2.6342 | 11.0013 | 2196 | 17.4276 | 0.6166 | 0.1871 |
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| 2.5348 | 12.0013 | 2379 | 13.3924 | 0.6419 | 0.2128 |
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| 2.4277 | 13.0013 | 2562 | 13.6010 | 0.6523 | 0.2217 |
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| 2.3344 | 14.0013 | 2745 | 13.5092 | 0.6565 | 0.2485 |
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| 2.2074 | 15.0012 | 2928 | 10.3846 | 0.6691 | 0.2554 |
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| 2.1947 | 16.0012 | 3111 | 10.1984 | 0.6891 | 0.2803 |
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| 2.1364 | 17.0012 | 3294 | 9.6411 | 0.7135 | 0.2984 |
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| 2.0875 | 18.0012 | 3477 | 9.3521 | 0.7179 | 0.3227 |
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| 1.8428 | 19.0012 | 3660 | 8.3752 | 0.7260 | 0.3203 |
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| 1.8182 | 20.0012 | 3843 | 8.7405 | 0.7333 | 0.3632 |
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| 1.7718 | 21.0012 | 4026 | 9.7411 | 0.7347 | 0.3594 |
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| 1.6555 | 22.0012 | 4209 | 8.9251 | 0.7403 | 0.3659 |
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| 1.629 | 23.0012 | 4392 | 8.3350 | 0.7558 | 0.4155 |
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| 1.5322 | 24.0012 | 4575 | 8.2890 | 0.7664 | 0.4299 |
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| 1.5162 | 25.0012 | 4758 | 9.4102 | 0.7580 | 0.4335 |
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| 1.398 | 26.0012 | 4941 | 8.7786 | 0.7690 | 0.4423 |
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| 1.4555 | 27.0012 | 5124 | 9.0446 | 0.7713 | 0.4354 |
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| 1.3793 | 28.0012 | 5307 | 9.3544 | 0.7591 | 0.4532 |
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| 1.4261 | 29.0011 | 5490 | 8.5091 | 0.7867 | 0.4821 |
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| 1.1456 | 30.0011 | 5673 | 9.7924 | 0.7808 | 0.4818 |
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| 1.118 | 31.0011 | 5856 | 10.4816 | 0.7568 | 0.4466 |
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| 1.1135 | 32.0011 | 6039 | 12.4731 | 0.7909 | 0.4956 |
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| 1.0627 | 33.0011 | 6222 | 13.0584 | 0.8033 | 0.5051 |
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| 1.0394 | 34.0011 | 6405 | 12.3441 | 0.8059 | 0.4985 |
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| 0.9104 | 35.0011 | 6588 | 13.6528 | 0.8028 | 0.5094 |
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| 0.8938 | 36.0011 | 6771 | 15.0621 | 0.7946 | 0.5053 |
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| 0.8979 | 37.0011 | 6954 | 14.1666 | 0.8258 | 0.5458 |
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| 0.8241 | 38.0011 | 7137 | 15.9922 | 0.8326 | 0.5485 |
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| 0.7994 | 39.0011 | 7320 | 17.9586 | 0.8283 | 0.5431 |
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| 0.7104 | 40.0011 | 7503 | 16.1515 | 0.8312 | 0.5600 |
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| 0.7211 | 41.0011 | 7686 | 18.6898 | 0.8363 | 0.5792 |
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| 0.6156 | 42.0010 | 7869 | 19.5428 | 0.8461 | 0.5864 |
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| 0.5766 | 43.0010 | 8052 | 19.5202 | 0.8475 | 0.5989 |
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| 0.615 | 44.0010 | 8235 | 16.5659 | 0.8472 | 0.5875 |
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| 0.5782 | 45.0010 | 8418 | 21.9991 | 0.8586 | 0.6189 |
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| 0.5163 | 46.0010 | 8601 | 18.3148 | 0.8668 | 0.6283 |
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| 0.4732 | 47.0010 | 8784 | 18.2023 | 0.8695 | 0.6385 |
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| 0.4534 | 48.0010 | 8967 | 20.0157 | 0.8664 | 0.6347 |
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| 0.4556 | 49.0010 | 9150 | 16.2393 | 0.8717 | 0.6438 |
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| 0.4393 | 50.0010 | 9333 | 17.8171 | 0.8775 | 0.6585 |
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| 0.3702 | 51.0010 | 9516 | 15.7624 | 0.8779 | 0.6617 |
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| 0.3369 | 52.0010 | 9699 | 16.2056 | 0.8741 | 0.6658 |
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| 0.371 | 53.0010 | 9882 | 13.4575 | 0.8850 | 0.6798 |
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| 0.3398 | 54.0010 | 10065 | 14.7072 | 0.8805 | 0.6754 |
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| 0.3107 | 55.0010 | 10248 | 12.3093 | 0.8856 | 0.6857 |
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| 0.3234 | 56.0009 | 10431 | 10.9512 | 0.8858 | 0.6826 |
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| 0.2741 | 57.0009 | 10614 | 13.8298 | 0.8889 | 0.6861 |
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| 0.2571 | 58.0009 | 10797 | 10.0751 | 0.8919 | 0.6967 |
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| 0.268 | 59.0009 | 10980 | 8.5677 | 0.8855 | 0.6871 |
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| 0.2458 | 60.0009 | 11163 | 8.1748 | 0.8894 | 0.6965 |
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| 0.2293 | 61.0009 | 11346 | 8.1445 | 0.8961 | 0.7094 |
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| 0.2412 | 62.0009 | 11529 | 7.2570 | 0.8948 | 0.7045 |
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| 0.2142 | 63.0009 | 11712 | 6.1374 | 0.8961 | 0.7157 |
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| 0.1982 | 64.0009 | 11895 | 6.4198 | 0.8963 | 0.7140 |
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| 118 |
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| 0.2066 | 65.0009 | 12078 | 5.1981 | 0.9008 | 0.7237 |
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| 0.1983 | 66.0009 | 12261 | 5.0489 | 0.9035 | 0.7255 |
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| 120 |
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| 0.1839 | 67.0009 | 12444 | 5.2241 | 0.8982 | 0.7207 |
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| 0.1877 | 68.0009 | 12627 | 4.2456 | 0.9041 | 0.7305 |
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| 0.1762 | 69.0008 | 12810 | 4.0758 | 0.9062 | 0.7322 |
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| 123 |
+
| 0.1576 | 70.0008 | 12993 | 3.8500 | 0.9089 | 0.7420 |
|
| 124 |
+
| 0.1634 | 71.0008 | 13176 | 3.2246 | 0.9079 | 0.7438 |
|
| 125 |
+
| 0.1459 | 72.0008 | 13359 | 2.8425 | 0.9093 | 0.7512 |
|
| 126 |
+
| 0.1426 | 73.0008 | 13542 | 3.0715 | 0.9118 | 0.7526 |
|
| 127 |
+
| 0.1308 | 74.0008 | 13725 | 2.6295 | 0.9116 | 0.7528 |
|
| 128 |
+
| 0.1312 | 75.0008 | 13908 | 2.5167 | 0.9065 | 0.7486 |
|
| 129 |
+
| 0.1259 | 76.0008 | 14091 | 2.3257 | 0.9136 | 0.7559 |
|
| 130 |
+
| 0.1205 | 77.0008 | 14274 | 2.1471 | 0.9137 | 0.7553 |
|
| 131 |
+
| 0.1161 | 78.0008 | 14457 | 2.2904 | 0.9138 | 0.7615 |
|
| 132 |
+
| 0.1152 | 79.0008 | 14640 | 1.9268 | 0.9146 | 0.7634 |
|
| 133 |
+
| 0.1195 | 80.0008 | 14823 | 2.0473 | 0.9129 | 0.7588 |
|
| 134 |
+
| 0.1013 | 81.0008 | 15006 | 2.3733 | 0.9126 | 0.7649 |
|
| 135 |
+
| 0.11 | 82.0007 | 15189 | 1.9859 | 0.9158 | 0.7670 |
|
| 136 |
+
| 0.0963 | 83.0007 | 15372 | 1.8979 | 0.9105 | 0.7634 |
|
| 137 |
+
| 0.1093 | 84.0007 | 15555 | 1.9596 | 0.9151 | 0.7739 |
|
| 138 |
+
| 0.0935 | 85.0007 | 15738 | 1.7822 | 0.9211 | 0.7791 |
|
| 139 |
+
| 0.0972 | 86.0007 | 15921 | 1.7814 | 0.9213 | 0.7783 |
|
| 140 |
+
| 0.0905 | 87.0007 | 16104 | 1.5859 | 0.9200 | 0.7782 |
|
| 141 |
+
| 0.0903 | 88.0007 | 16287 | 1.8738 | 0.9152 | 0.7738 |
|
| 142 |
+
| 0.095 | 89.0007 | 16470 | 1.8052 | 0.9147 | 0.7716 |
|
| 143 |
+
| 0.082 | 90.0007 | 16653 | 1.7191 | 0.9158 | 0.7767 |
|
| 144 |
+
| 0.0743 | 91.0007 | 16836 | 1.6819 | 0.9237 | 0.7839 |
|
| 145 |
+
| 0.0894 | 92.0007 | 17019 | 1.5637 | 0.9164 | 0.7794 |
|
| 146 |
+
| 0.0836 | 93.0007 | 17202 | 1.6113 | 0.9202 | 0.7846 |
|
| 147 |
+
| 0.0665 | 94.0007 | 17385 | 1.3876 | 0.9168 | 0.7800 |
|
| 148 |
+
| 0.0783 | 95.0007 | 17568 | 1.3656 | 0.9212 | 0.7974 |
|
| 149 |
+
| 0.0831 | 96.0006 | 17751 | 1.4816 | 0.9181 | 0.7824 |
|
| 150 |
+
| 0.0753 | 97.0006 | 17934 | 1.4351 | 0.9193 | 0.7816 |
|
| 151 |
+
| 0.0737 | 98.0006 | 18117 | 1.4159 | 0.9187 | 0.7861 |
|
| 152 |
+
| 0.0691 | 99.0006 | 18300 | 1.4085 | 0.9173 | 0.7829 |
|
| 153 |
+
| 0.0637 | 100.0006 | 18483 | 1.2294 | 0.9262 | 0.7951 |
|
| 154 |
+
| 0.0604 | 101.0006 | 18666 | 1.2872 | 0.9237 | 0.7962 |
|
| 155 |
+
| 0.0609 | 102.0006 | 18849 | 1.3586 | 0.9244 | 0.7972 |
|
| 156 |
+
| 0.0626 | 103.0006 | 19032 | 1.3484 | 0.9200 | 0.7895 |
|
| 157 |
+
| 0.0604 | 104.0006 | 19215 | 1.3194 | 0.9242 | 0.7913 |
|
| 158 |
+
| 0.0651 | 105.0006 | 19398 | 1.3994 | 0.9208 | 0.7917 |
|
| 159 |
+
| 0.0571 | 106.0006 | 19581 | 1.3560 | 0.9229 | 0.8003 |
|
| 160 |
+
| 0.0567 | 107.0006 | 19764 | 1.3682 | 0.9266 | 0.7979 |
|
| 161 |
+
| 0.0635 | 108.0006 | 19947 | 1.2841 | 0.9244 | 0.7948 |
|
| 162 |
+
| 0.0579 | 109.0005 | 20130 | 1.2499 | 0.9199 | 0.7948 |
|
| 163 |
+
| 0.0519 | 110.0005 | 20313 | 1.3855 | 0.9151 | 0.7885 |
|
| 164 |
+
| 0.0575 | 111.0005 | 20496 | 1.3515 | 0.9249 | 0.8010 |
|
| 165 |
+
| 0.0582 | 112.0005 | 20679 | 1.2504 | 0.9305 | 0.8073 |
|
| 166 |
+
| 0.0536 | 113.0005 | 20862 | 1.3098 | 0.9155 | 0.7848 |
|
| 167 |
+
| 0.0529 | 114.0005 | 21045 | 1.2883 | 0.9249 | 0.7982 |
|
| 168 |
+
| 0.0547 | 115.0005 | 21228 | 1.2288 | 0.9263 | 0.8100 |
|
| 169 |
+
| 0.0567 | 116.0005 | 21411 | 1.2484 | 0.9238 | 0.7952 |
|
| 170 |
+
| 0.0557 | 117.0005 | 21594 | 1.2555 | 0.9262 | 0.8022 |
|
| 171 |
+
| 0.0506 | 118.0005 | 21777 | 1.1636 | 0.9260 | 0.8064 |
|
| 172 |
+
| 0.0499 | 119.0005 | 21960 | 1.2017 | 0.9266 | 0.7986 |
|
| 173 |
+
| 0.0496 | 120.0005 | 22143 | 1.1805 | 0.9270 | 0.8064 |
|
| 174 |
+
| 0.0485 | 121.0005 | 22326 | 1.1518 | 0.9320 | 0.8139 |
|
| 175 |
+
| 0.043 | 122.0005 | 22509 | 1.2173 | 0.9298 | 0.8094 |
|
| 176 |
+
| 0.0462 | 123.0004 | 22692 | 1.2900 | 0.9277 | 0.8029 |
|
| 177 |
+
| 0.0446 | 124.0004 | 22875 | 1.0684 | 0.9319 | 0.8134 |
|
| 178 |
+
| 0.0404 | 125.0004 | 23058 | 1.2660 | 0.9251 | 0.8102 |
|
| 179 |
+
| 0.0442 | 126.0004 | 23241 | 1.1452 | 0.9300 | 0.8079 |
|
| 180 |
+
| 0.0474 | 127.0004 | 23424 | 1.1620 | 0.9275 | 0.8101 |
|
| 181 |
+
| 0.0458 | 128.0004 | 23607 | 1.2680 | 0.9204 | 0.8035 |
|
| 182 |
+
| 0.0424 | 129.0004 | 23790 | 1.0869 | 0.9299 | 0.8165 |
|
| 183 |
+
| 0.0443 | 130.0004 | 23973 | 1.1968 | 0.9294 | 0.8137 |
|
| 184 |
+
| 0.0408 | 131.0004 | 24156 | 1.0853 | 0.9297 | 0.8152 |
|
| 185 |
+
| 0.0395 | 132.0004 | 24339 | 1.2921 | 0.9202 | 0.7981 |
|
| 186 |
+
| 0.0437 | 133.0004 | 24522 | 1.1411 | 0.9272 | 0.8157 |
|
| 187 |
+
| 0.0395 | 134.0004 | 24705 | 1.1747 | 0.9304 | 0.8140 |
|
| 188 |
+
| 0.0403 | 135.0004 | 24888 | 1.2004 | 0.9291 | 0.8156 |
|
| 189 |
+
| 0.0399 | 136.0003 | 25071 | 1.1811 | 0.9294 | 0.8123 |
|
| 190 |
+
| 0.0445 | 137.0003 | 25254 | 1.1537 | 0.9276 | 0.8083 |
|
| 191 |
+
| 0.0378 | 138.0003 | 25437 | 1.0813 | 0.9289 | 0.8122 |
|
| 192 |
+
| 0.0433 | 139.0003 | 25620 | 1.2047 | 0.9278 | 0.8080 |
|
| 193 |
+
| 0.0346 | 140.0003 | 25803 | 1.1242 | 0.9303 | 0.8143 |
|
| 194 |
+
| 0.0345 | 141.0003 | 25986 | 1.2306 | 0.9218 | 0.8118 |
|
| 195 |
+
| 0.0368 | 142.0003 | 26169 | 1.1907 | 0.9270 | 0.8176 |
|
| 196 |
+
| 0.0341 | 143.0003 | 26352 | 1.1001 | 0.9326 | 0.8250 |
|
| 197 |
+
| 0.0388 | 144.0003 | 26535 | 1.1829 | 0.9266 | 0.8150 |
|
| 198 |
+
| 0.0328 | 145.0003 | 26718 | 1.1795 | 0.9263 | 0.8098 |
|
| 199 |
+
| 0.0321 | 146.0003 | 26901 | 1.0789 | 0.9314 | 0.8191 |
|
| 200 |
+
| 0.0351 | 147.0003 | 27084 | 1.0805 | 0.9277 | 0.8136 |
|
| 201 |
+
| 0.035 | 148.0003 | 27267 | 1.1429 | 0.9326 | 0.8216 |
|
| 202 |
+
| 0.0341 | 149.0003 | 27450 | 1.2454 | 0.9242 | 0.8121 |
|
| 203 |
+
| 0.0344 | 150.0002 | 27633 | 1.1290 | 0.9285 | 0.8215 |
|
| 204 |
+
| 0.0402 | 151.0002 | 27816 | 1.1240 | 0.9317 | 0.8233 |
|
| 205 |
+
| 0.0332 | 152.0002 | 27999 | 1.0537 | 0.9325 | 0.8182 |
|
| 206 |
+
| 0.035 | 153.0002 | 28182 | 1.0829 | 0.9281 | 0.8166 |
|
| 207 |
+
| 0.0321 | 154.0002 | 28365 | 1.1237 | 0.9295 | 0.8176 |
|
| 208 |
+
| 0.0334 | 155.0002 | 28548 | 1.0779 | 0.9289 | 0.8177 |
|
| 209 |
+
| 0.0339 | 156.0002 | 28731 | 1.0957 | 0.9318 | 0.8203 |
|
| 210 |
+
| 0.0331 | 157.0002 | 28914 | 1.0895 | 0.9303 | 0.8227 |
|
| 211 |
+
| 0.03 | 158.0002 | 29097 | 1.1288 | 0.9303 | 0.8185 |
|
| 212 |
+
| 0.0308 | 159.0002 | 29280 | 1.1646 | 0.9264 | 0.8154 |
|
| 213 |
+
| 0.0311 | 160.0002 | 29463 | 1.2146 | 0.9254 | 0.8092 |
|
| 214 |
+
| 0.0311 | 161.0002 | 29646 | 1.2291 | 0.9312 | 0.8179 |
|
| 215 |
+
| 0.0281 | 162.0002 | 29829 | 1.1141 | 0.9302 | 0.8222 |
|
| 216 |
+
| 0.0324 | 163.0001 | 30012 | 1.2234 | 0.9281 | 0.8207 |
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
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|
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|
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|
|
|
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|
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|
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|
|
|
|
|
|
|
|
| 217 |
|
| 218 |
|
| 219 |
### Framework versions
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 126037348
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:28fdf9dd4bd304dafa20657cb754e4581a062ced90d70fca45b27397c0ad55fc
|
| 3 |
size 126037348
|
runs/0-by=2006-psr=0.5/events.out.tfevents.1747579730.yara2.90455.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:6bf7334e1c2b40b86ab92fd7ffa7ab343dc883f6f31e9f0140e2e3c7f5a122e2
|
| 3 |
+
size 470
|