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 +157 -159
- model.safetensors +1 -1
- runs/0-by=2006-psr=0.25/events.out.tfevents.1747546314.yara2.4166649.1 +3 -0
README.md
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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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| 0.0415 | 154.0001 | 26970 | 2.6466 | 0.9052 | 0.7496 |
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| 0.0383 | 155.0001 | 27144 | 2.9242 | 0.9095 | 0.7603 |
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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: 1.0792
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- Accuracy: 0.9215
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- Macro F1: 0.7856
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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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| 30.7026 | 0.0013 | 174 | 53.0359 | 0.0701 | 0.0301 |
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| 13.3168 | 1.0013 | 348 | 114.2384 | 0.3493 | 0.0816 |
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| 7.1074 | 2.0013 | 522 | 184.1826 | 0.5067 | 0.1269 |
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| 6.2899 | 3.0013 | 696 | 170.7892 | 0.5493 | 0.1363 |
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| 5.429 | 4.0013 | 870 | 149.5437 | 0.5638 | 0.1398 |
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| 4.8782 | 5.0013 | 1044 | 104.9163 | 0.5816 | 0.1448 |
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| 4.0702 | 6.0012 | 1218 | 61.1026 | 0.5730 | 0.1455 |
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| 3.6116 | 7.0012 | 1392 | 50.7110 | 0.5986 | 0.1553 |
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| 3.1596 | 8.0012 | 1566 | 37.9209 | 0.6163 | 0.1576 |
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| 2.9326 | 9.0012 | 1740 | 26.4895 | 0.6299 | 0.1700 |
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| 2.7907 | 10.0012 | 1914 | 21.9770 | 0.6252 | 0.1715 |
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| 2.6377 | 11.0012 | 2088 | 18.1595 | 0.6336 | 0.1910 |
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| 2.5436 | 12.0012 | 2262 | 15.4035 | 0.6297 | 0.1963 |
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| 2.5652 | 13.0012 | 2436 | 13.0654 | 0.6475 | 0.2099 |
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| 2.3927 | 14.0012 | 2610 | 12.6810 | 0.6621 | 0.2371 |
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| 2.3511 | 15.0012 | 2784 | 12.2593 | 0.6660 | 0.2444 |
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| 2.2106 | 16.0012 | 2958 | 10.0168 | 0.6696 | 0.2605 |
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| 2.1122 | 17.0012 | 3132 | 9.7692 | 0.6670 | 0.2724 |
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| 2.0994 | 18.0012 | 3306 | 10.1993 | 0.6925 | 0.3151 |
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| 2.047 | 19.0012 | 3480 | 8.8602 | 0.6989 | 0.2893 |
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| 1.8971 | 20.0011 | 3654 | 9.6781 | 0.7090 | 0.3246 |
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| 1.7991 | 21.0011 | 3828 | 8.5894 | 0.7237 | 0.3538 |
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| 1.7553 | 22.0011 | 4002 | 9.3969 | 0.7363 | 0.3710 |
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| 1.7591 | 23.0011 | 4176 | 7.9164 | 0.7405 | 0.3913 |
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| 1.6045 | 24.0011 | 4350 | 7.3745 | 0.7387 | 0.4003 |
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| 1.578 | 25.0011 | 4524 | 8.8691 | 0.7424 | 0.3921 |
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| 1.4329 | 26.0011 | 4698 | 9.3178 | 0.7609 | 0.4269 |
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| 1.3972 | 27.0011 | 4872 | 9.0777 | 0.7685 | 0.4370 |
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| 1.2672 | 28.0011 | 5046 | 7.5701 | 0.7665 | 0.4510 |
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| 1.2847 | 29.0011 | 5220 | 7.1190 | 0.7739 | 0.4663 |
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| 1.2516 | 30.0011 | 5394 | 7.7489 | 0.7737 | 0.4485 |
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| 1.2227 | 31.0011 | 5568 | 8.2549 | 0.7839 | 0.4662 |
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| 1.1392 | 32.0011 | 5742 | 8.0929 | 0.7855 | 0.4848 |
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| 1.0385 | 33.0010 | 5916 | 11.6833 | 0.7755 | 0.4629 |
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| 1.0028 | 34.0010 | 6090 | 9.3064 | 0.7878 | 0.4986 |
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| 1.043 | 35.0010 | 6264 | 11.5720 | 0.7946 | 0.5027 |
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| 0.979 | 36.0010 | 6438 | 10.2560 | 0.7948 | 0.4907 |
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| 0.9138 | 37.0010 | 6612 | 11.9265 | 0.8007 | 0.5072 |
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| 0.9419 | 38.0010 | 6786 | 10.6589 | 0.8110 | 0.5288 |
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| 0.8925 | 39.0010 | 6960 | 13.7785 | 0.8043 | 0.5331 |
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| 0.7434 | 40.0010 | 7134 | 9.5213 | 0.8135 | 0.5179 |
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| 0.7123 | 41.0010 | 7308 | 15.0359 | 0.8294 | 0.5615 |
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| 0.7004 | 42.0010 | 7482 | 16.5428 | 0.8464 | 0.5765 |
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| 0.6616 | 43.0010 | 7656 | 18.6558 | 0.8453 | 0.5782 |
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| 0.6361 | 44.0010 | 7830 | 18.9831 | 0.8384 | 0.5759 |
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| 0.5687 | 45.0010 | 8004 | 18.4669 | 0.8389 | 0.5743 |
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| 0.5919 | 46.0010 | 8178 | 19.7344 | 0.8573 | 0.5943 |
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| 0.5168 | 47.0009 | 8352 | 18.0129 | 0.8560 | 0.5985 |
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| 0.4788 | 48.0009 | 8526 | 22.6378 | 0.8554 | 0.6005 |
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| 0.4743 | 49.0009 | 8700 | 17.6276 | 0.8507 | 0.6045 |
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| 0.4413 | 50.0009 | 8874 | 19.3010 | 0.8633 | 0.6067 |
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| 0.467 | 51.0009 | 9048 | 15.4770 | 0.8628 | 0.5971 |
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| 0.4063 | 52.0009 | 9222 | 20.0598 | 0.8665 | 0.6142 |
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| 0.3804 | 53.0009 | 9396 | 19.2125 | 0.8613 | 0.6187 |
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| 0.3679 | 54.0009 | 9570 | 20.8151 | 0.8656 | 0.6244 |
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| 0.3499 | 55.0009 | 9744 | 17.6358 | 0.8664 | 0.6236 |
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| 0.3212 | 56.0009 | 9918 | 17.9925 | 0.8727 | 0.6438 |
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| 0.2874 | 57.0009 | 10092 | 13.5473 | 0.8797 | 0.6454 |
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| 0.3201 | 58.0009 | 10266 | 15.6663 | 0.8774 | 0.6539 |
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| 0.3109 | 59.0009 | 10440 | 17.0826 | 0.8712 | 0.6272 |
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| 0.2888 | 60.0008 | 10614 | 13.6391 | 0.8827 | 0.6590 |
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| 114 |
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| 0.2614 | 61.0008 | 10788 | 13.5838 | 0.8816 | 0.6587 |
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| 0.2569 | 62.0008 | 10962 | 11.6622 | 0.8838 | 0.6668 |
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| 0.2485 | 63.0008 | 11136 | 12.1554 | 0.8825 | 0.6613 |
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| 0.2408 | 64.0008 | 11310 | 8.6533 | 0.8816 | 0.6733 |
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| 0.2271 | 65.0008 | 11484 | 10.4841 | 0.8849 | 0.6785 |
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| 0.2112 | 66.0008 | 11658 | 8.8140 | 0.8853 | 0.6785 |
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| 120 |
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| 0.2089 | 67.0008 | 11832 | 8.3154 | 0.8890 | 0.6769 |
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| 121 |
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| 0.2021 | 68.0008 | 12006 | 8.0686 | 0.8896 | 0.6803 |
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| 122 |
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| 0.2022 | 69.0008 | 12180 | 7.6383 | 0.8892 | 0.6851 |
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| 123 |
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| 0.1796 | 70.0008 | 12354 | 7.1766 | 0.8853 | 0.6855 |
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| 0.1734 | 71.0008 | 12528 | 5.2828 | 0.8863 | 0.6880 |
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| 0.1883 | 72.0008 | 12702 | 6.3331 | 0.8892 | 0.6850 |
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| 126 |
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| 0.1577 | 73.0007 | 12876 | 5.2060 | 0.8881 | 0.6809 |
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| 127 |
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| 0.1722 | 74.0007 | 13050 | 5.1878 | 0.8955 | 0.7086 |
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| 128 |
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| 0.1546 | 75.0007 | 13224 | 4.3501 | 0.8936 | 0.6975 |
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| 129 |
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| 0.1545 | 76.0007 | 13398 | 5.2210 | 0.8910 | 0.6938 |
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| 130 |
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| 0.1413 | 77.0007 | 13572 | 3.4221 | 0.9040 | 0.7158 |
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| 131 |
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| 0.1386 | 78.0007 | 13746 | 3.5215 | 0.8908 | 0.7046 |
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| 132 |
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| 0.1312 | 79.0007 | 13920 | 3.3452 | 0.9005 | 0.7103 |
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| 133 |
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| 0.1342 | 80.0007 | 14094 | 3.0481 | 0.8995 | 0.7101 |
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| 134 |
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| 0.1215 | 81.0007 | 14268 | 2.7801 | 0.9014 | 0.7145 |
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| 135 |
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| 0.1137 | 82.0007 | 14442 | 2.8138 | 0.8979 | 0.7071 |
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| 136 |
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| 0.1213 | 83.0007 | 14616 | 2.4074 | 0.8981 | 0.7160 |
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| 137 |
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| 0.1179 | 84.0007 | 14790 | 2.3177 | 0.9026 | 0.7137 |
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| 138 |
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| 0.106 | 85.0007 | 14964 | 2.5299 | 0.8972 | 0.7148 |
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| 139 |
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| 0.1161 | 86.0007 | 15138 | 1.9398 | 0.9008 | 0.7181 |
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| 140 |
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| 0.1003 | 87.0006 | 15312 | 1.9359 | 0.9005 | 0.7244 |
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| 141 |
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| 0.0998 | 88.0006 | 15486 | 1.8980 | 0.9058 | 0.7241 |
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| 142 |
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| 0.0955 | 89.0006 | 15660 | 2.0656 | 0.9031 | 0.7285 |
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| 143 |
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| 0.1045 | 90.0006 | 15834 | 1.8558 | 0.9071 | 0.7364 |
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| 144 |
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| 0.0962 | 91.0006 | 16008 | 1.8845 | 0.9025 | 0.7256 |
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| 145 |
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| 0.096 | 92.0006 | 16182 | 1.7214 | 0.9028 | 0.7367 |
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| 146 |
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| 0.0862 | 93.0006 | 16356 | 1.6991 | 0.9016 | 0.7277 |
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| 147 |
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| 0.0845 | 94.0006 | 16530 | 1.8148 | 0.9035 | 0.7310 |
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| 148 |
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| 0.0795 | 95.0006 | 16704 | 1.6382 | 0.9061 | 0.7355 |
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| 149 |
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| 0.0838 | 96.0006 | 16878 | 1.5160 | 0.9072 | 0.7396 |
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| 150 |
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| 0.0844 | 97.0006 | 17052 | 1.5174 | 0.9017 | 0.7301 |
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| 151 |
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| 0.0762 | 98.0006 | 17226 | 1.4679 | 0.9112 | 0.7400 |
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| 152 |
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| 0.0731 | 99.0006 | 17400 | 1.4525 | 0.9084 | 0.7359 |
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| 153 |
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| 0.074 | 100.0005 | 17574 | 1.4793 | 0.9056 | 0.7307 |
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| 154 |
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| 0.0886 | 101.0005 | 17748 | 1.5900 | 0.9073 | 0.7405 |
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| 155 |
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| 0.0771 | 102.0005 | 17922 | 1.3456 | 0.9050 | 0.7432 |
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| 156 |
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| 0.0687 | 103.0005 | 18096 | 1.4198 | 0.9075 | 0.7381 |
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| 157 |
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| 0.0678 | 104.0005 | 18270 | 1.4216 | 0.9071 | 0.7407 |
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| 158 |
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| 0.0774 | 105.0005 | 18444 | 1.3671 | 0.9060 | 0.7453 |
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| 159 |
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| 0.0637 | 106.0005 | 18618 | 1.3558 | 0.9048 | 0.7472 |
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| 160 |
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| 0.069 | 107.0005 | 18792 | 1.3143 | 0.9071 | 0.7437 |
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| 161 |
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| 0.0653 | 108.0005 | 18966 | 1.3673 | 0.9078 | 0.7452 |
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| 162 |
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| 0.0671 | 109.0005 | 19140 | 1.3679 | 0.9062 | 0.7435 |
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| 163 |
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| 0.0601 | 110.0005 | 19314 | 1.3389 | 0.9134 | 0.7537 |
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| 164 |
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| 0.0631 | 111.0005 | 19488 | 1.1637 | 0.9144 | 0.7557 |
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| 165 |
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| 0.059 | 112.0005 | 19662 | 1.2114 | 0.9106 | 0.7497 |
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| 166 |
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| 0.055 | 113.0005 | 19836 | 1.2166 | 0.9130 | 0.7540 |
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| 167 |
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| 0.0575 | 114.0004 | 20010 | 1.4097 | 0.9052 | 0.7441 |
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| 168 |
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| 0.0679 | 115.0004 | 20184 | 1.2815 | 0.9081 | 0.7550 |
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| 169 |
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| 0.0586 | 116.0004 | 20358 | 1.2250 | 0.9143 | 0.7571 |
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| 170 |
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| 0.0653 | 117.0004 | 20532 | 1.1487 | 0.9128 | 0.7653 |
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| 171 |
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| 0.0611 | 118.0004 | 20706 | 1.2429 | 0.9143 | 0.7555 |
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| 172 |
+
| 0.0541 | 119.0004 | 20880 | 1.1926 | 0.9082 | 0.7545 |
|
| 173 |
+
| 0.0587 | 120.0004 | 21054 | 1.1361 | 0.9133 | 0.7566 |
|
| 174 |
+
| 0.0467 | 121.0004 | 21228 | 1.3534 | 0.9057 | 0.7456 |
|
| 175 |
+
| 0.0533 | 122.0004 | 21402 | 1.2125 | 0.9133 | 0.7593 |
|
| 176 |
+
| 0.0516 | 123.0004 | 21576 | 1.1766 | 0.9147 | 0.7568 |
|
| 177 |
+
| 0.0505 | 124.0004 | 21750 | 1.1781 | 0.9144 | 0.7592 |
|
| 178 |
+
| 0.0499 | 125.0004 | 21924 | 1.2424 | 0.9101 | 0.7518 |
|
| 179 |
+
| 0.0556 | 126.0004 | 22098 | 1.2504 | 0.9135 | 0.7609 |
|
| 180 |
+
| 0.0493 | 127.0003 | 22272 | 1.1748 | 0.9136 | 0.7632 |
|
| 181 |
+
| 0.0447 | 128.0003 | 22446 | 1.1121 | 0.9185 | 0.7746 |
|
| 182 |
+
| 0.0503 | 129.0003 | 22620 | 1.1637 | 0.9128 | 0.7629 |
|
| 183 |
+
| 0.0536 | 130.0003 | 22794 | 1.3146 | 0.9102 | 0.7524 |
|
| 184 |
+
| 0.0443 | 131.0003 | 22968 | 1.2645 | 0.9159 | 0.7627 |
|
| 185 |
+
| 0.0445 | 132.0003 | 23142 | 1.1439 | 0.9155 | 0.7633 |
|
| 186 |
+
| 0.0499 | 133.0003 | 23316 | 1.1085 | 0.9215 | 0.7856 |
|
| 187 |
+
| 0.0457 | 134.0003 | 23490 | 1.2019 | 0.9147 | 0.7762 |
|
| 188 |
+
| 0.0467 | 135.0003 | 23664 | 1.1470 | 0.9179 | 0.7688 |
|
| 189 |
+
| 0.0412 | 136.0003 | 23838 | 1.1068 | 0.9163 | 0.7674 |
|
| 190 |
+
| 0.0499 | 137.0003 | 24012 | 1.1346 | 0.9153 | 0.7681 |
|
| 191 |
+
| 0.0446 | 138.0003 | 24186 | 1.2337 | 0.9151 | 0.7605 |
|
| 192 |
+
| 0.0437 | 139.0003 | 24360 | 1.0946 | 0.9198 | 0.7705 |
|
| 193 |
+
| 0.0435 | 140.0003 | 24534 | 1.2161 | 0.9164 | 0.7771 |
|
| 194 |
+
| 0.0449 | 141.0002 | 24708 | 1.1682 | 0.9118 | 0.7722 |
|
| 195 |
+
| 0.0408 | 142.0002 | 24882 | 1.0727 | 0.9176 | 0.7825 |
|
| 196 |
+
| 0.042 | 143.0002 | 25056 | 1.0953 | 0.9165 | 0.7774 |
|
| 197 |
+
| 0.0419 | 144.0002 | 25230 | 1.3255 | 0.9102 | 0.7617 |
|
| 198 |
+
| 0.0413 | 145.0002 | 25404 | 1.0833 | 0.9148 | 0.7630 |
|
| 199 |
+
| 0.0448 | 146.0002 | 25578 | 1.1313 | 0.9115 | 0.7614 |
|
| 200 |
+
| 0.0374 | 147.0002 | 25752 | 1.2751 | 0.9104 | 0.7625 |
|
| 201 |
+
| 0.04 | 148.0002 | 25926 | 1.1803 | 0.9116 | 0.7536 |
|
| 202 |
+
| 0.0371 | 149.0002 | 26100 | 1.2737 | 0.9164 | 0.7657 |
|
| 203 |
+
| 0.039 | 150.0002 | 26274 | 1.1885 | 0.9165 | 0.7711 |
|
| 204 |
+
| 0.0383 | 151.0002 | 26448 | 1.2611 | 0.9124 | 0.7659 |
|
| 205 |
+
| 0.0352 | 152.0002 | 26622 | 1.1512 | 0.9175 | 0.7783 |
|
| 206 |
+
| 0.0366 | 153.0002 | 26796 | 1.1345 | 0.9186 | 0.7799 |
|
|
|
|
|
|
|
| 207 |
|
| 208 |
|
| 209 |
### 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:e5c4768e545f436696a2d822904b496811a1dbf1e9c35ff2e38c3cf19ec2616e
|
| 3 |
size 126037348
|
runs/0-by=2006-psr=0.25/events.out.tfevents.1747546314.yara2.4166649.1
ADDED
|
@@ -0,0 +1,3 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:85ef43fecd4bb50fda81b9d8ade7e300691bfd1b048e29fed6fb11a7e9fbc727
|
| 3 |
+
size 470
|