End of training
Browse files- README.md +118 -188
- config.json +1 -1
- model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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@@ -16,14 +16,14 @@ should probably proofread and complete it, then remove this comment. -->
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# segformer-b0-finetuned-net-19Aug
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This model is a fine-tuned version of [PushkarA07/segformer-b0-finetuned-net-19Aug](https://huggingface.co/PushkarA07/segformer-b0-finetuned-net-19Aug) on the PushkarA07/
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Mean Iou: 0.
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- Mean Accuracy: 0.
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- Overall Accuracy: 0.
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- Accuracy Abnormality: 0.
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- Iou Abnormality: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Abnormality | Iou Abnormality |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:--------------------:|:---------------:|
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| 0.0035 | 61.6667 | 1110 | 0.0050 | 0.8486 | 0.8922 | 0.9981 | 0.7852 | 0.6990 |
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| 0.0034 | 62.2222 | 1120 | 0.0051 | 0.8447 | 0.8814 | 0.9981 | 0.7634 | 0.6913 |
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| 0.0056 | 62.7778 | 1130 | 0.0051 | 0.8487 | 0.8952 | 0.9981 | 0.7912 | 0.6993 |
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| 0.0022 | 63.3333 | 1140 | 0.0051 | 0.8451 | 0.8823 | 0.9981 | 0.7651 | 0.6921 |
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| 0.0046 | 63.8889 | 1150 | 0.0051 | 0.8435 | 0.8759 | 0.9981 | 0.7523 | 0.6889 |
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| 0.0114 | 64.4444 | 1160 | 0.0051 | 0.8467 | 0.8831 | 0.9981 | 0.7668 | 0.6952 |
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| 0.0029 | 65.0 | 1170 | 0.0051 | 0.8431 | 0.8757 | 0.9981 | 0.7520 | 0.6880 |
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| 0.0029 | 65.5556 | 1180 | 0.0050 | 0.8481 | 0.8933 | 0.9981 | 0.7873 | 0.6981 |
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| 0.0062 | 66.1111 | 1190 | 0.0051 | 0.8439 | 0.8786 | 0.9981 | 0.7578 | 0.6896 |
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| 0.004 | 66.6667 | 1200 | 0.0050 | 0.8474 | 0.8891 | 0.9981 | 0.7789 | 0.6968 |
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| 0.0025 | 67.2222 | 1210 | 0.0050 | 0.8483 | 0.8917 | 0.9981 | 0.7840 | 0.6985 |
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| 0.0075 | 67.7778 | 1220 | 0.0052 | 0.8430 | 0.8763 | 0.9981 | 0.7531 | 0.6879 |
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| 0.0098 | 68.3333 | 1230 | 0.0050 | 0.8483 | 0.8941 | 0.9981 | 0.7889 | 0.6985 |
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| 0.0068 | 68.8889 | 1240 | 0.0051 | 0.8455 | 0.8829 | 0.9981 | 0.7663 | 0.6929 |
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| 0.0067 | 69.4444 | 1250 | 0.0051 | 0.8463 | 0.8842 | 0.9981 | 0.7689 | 0.6945 |
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| 0.0043 | 70.0 | 1260 | 0.0051 | 0.8461 | 0.8844 | 0.9981 | 0.7695 | 0.6942 |
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| 0.003 | 70.5556 | 1270 | 0.0051 | 0.8498 | 0.8995 | 0.9981 | 0.7998 | 0.7014 |
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| 0.0061 | 71.1111 | 1280 | 0.0051 | 0.8473 | 0.8867 | 0.9981 | 0.7740 | 0.6966 |
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| 0.0042 | 71.6667 | 1290 | 0.0050 | 0.8487 | 0.8891 | 0.9981 | 0.7789 | 0.6992 |
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| 0.0064 | 72.2222 | 1300 | 0.0050 | 0.8493 | 0.8913 | 0.9981 | 0.7832 | 0.7005 |
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| 0.0045 | 72.7778 | 1310 | 0.0050 | 0.8497 | 0.8926 | 0.9981 | 0.7860 | 0.7012 |
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| 0.0041 | 73.3333 | 1320 | 0.0050 | 0.8511 | 0.9022 | 0.9981 | 0.8052 | 0.7041 |
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| 0.0033 | 73.8889 | 1330 | 0.0050 | 0.8491 | 0.8925 | 0.9981 | 0.7857 | 0.7001 |
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| 0.0084 | 74.4444 | 1340 | 0.0051 | 0.8462 | 0.8840 | 0.9981 | 0.7686 | 0.6943 |
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| 0.0093 | 75.0 | 1350 | 0.0051 | 0.8473 | 0.8903 | 0.9981 | 0.7814 | 0.6965 |
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| 0.0093 | 75.5556 | 1360 | 0.0051 | 0.8448 | 0.8833 | 0.9981 | 0.7671 | 0.6914 |
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| 0.0037 | 76.1111 | 1370 | 0.0051 | 0.8470 | 0.8908 | 0.9981 | 0.7822 | 0.6958 |
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| 0.007 | 76.6667 | 1380 | 0.0051 | 0.8486 | 0.8937 | 0.9981 | 0.7882 | 0.6991 |
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| 0.0034 | 77.2222 | 1390 | 0.0051 | 0.8476 | 0.8888 | 0.9981 | 0.7782 | 0.6971 |
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| 0.0139 | 77.7778 | 1400 | 0.0051 | 0.8470 | 0.8855 | 0.9981 | 0.7716 | 0.6958 |
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| 0.0057 | 78.3333 | 1410 | 0.0051 | 0.8465 | 0.8848 | 0.9981 | 0.7702 | 0.6949 |
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| 0.004 | 78.8889 | 1420 | 0.0051 | 0.8444 | 0.8791 | 0.9981 | 0.7588 | 0.6907 |
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| 0.0057 | 79.4444 | 1430 | 0.0051 | 0.8463 | 0.8836 | 0.9981 | 0.7677 | 0.6945 |
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| 0.0034 | 80.0 | 1440 | 0.0050 | 0.8482 | 0.8893 | 0.9981 | 0.7793 | 0.6984 |
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| 0.0061 | 80.5556 | 1450 | 0.0050 | 0.8495 | 0.8944 | 0.9981 | 0.7895 | 0.7008 |
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| 0.0034 | 81.1111 | 1460 | 0.0050 | 0.8486 | 0.8891 | 0.9981 | 0.7788 | 0.6990 |
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| 0.0051 | 81.6667 | 1470 | 0.0051 | 0.8469 | 0.8843 | 0.9981 | 0.7692 | 0.6956 |
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| 0.0037 | 82.2222 | 1480 | 0.0051 | 0.8470 | 0.8853 | 0.9981 | 0.7712 | 0.6959 |
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| 0.0075 | 82.7778 | 1490 | 0.0050 | 0.8473 | 0.8869 | 0.9981 | 0.7743 | 0.6964 |
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| 0.0202 | 83.3333 | 1500 | 0.0050 | 0.8484 | 0.8893 | 0.9981 | 0.7793 | 0.6987 |
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| 0.008 | 83.8889 | 1510 | 0.0050 | 0.8487 | 0.8888 | 0.9982 | 0.7783 | 0.6993 |
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| 0.0059 | 84.4444 | 1520 | 0.0051 | 0.8483 | 0.8877 | 0.9981 | 0.7760 | 0.6984 |
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| 0.0052 | 85.0 | 1530 | 0.0051 | 0.8479 | 0.8864 | 0.9981 | 0.7733 | 0.6976 |
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| 0.0089 | 85.5556 | 1540 | 0.0051 | 0.8473 | 0.8849 | 0.9981 | 0.7704 | 0.6965 |
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| 0.0153 | 86.1111 | 1550 | 0.0050 | 0.8480 | 0.8876 | 0.9981 | 0.7758 | 0.6979 |
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| 0.0039 | 86.6667 | 1560 | 0.0050 | 0.8496 | 0.8946 | 0.9981 | 0.7898 | 0.7010 |
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| 0.0043 | 87.2222 | 1570 | 0.0051 | 0.8476 | 0.8858 | 0.9981 | 0.7721 | 0.6970 |
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| 0.004 | 87.7778 | 1580 | 0.0051 | 0.8472 | 0.8850 | 0.9981 | 0.7705 | 0.6963 |
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| 0.0026 | 88.3333 | 1590 | 0.0050 | 0.8490 | 0.8914 | 0.9981 | 0.7834 | 0.6999 |
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| 0.0031 | 88.8889 | 1600 | 0.0050 | 0.8473 | 0.8857 | 0.9981 | 0.7720 | 0.6965 |
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| 0.0048 | 89.4444 | 1610 | 0.0051 | 0.8468 | 0.8830 | 0.9981 | 0.7665 | 0.6954 |
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| 0.0108 | 90.0 | 1620 | 0.0051 | 0.8461 | 0.8821 | 0.9981 | 0.7647 | 0.6941 |
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| 0.0031 | 90.5556 | 1630 | 0.0051 | 0.8470 | 0.8846 | 0.9981 | 0.7699 | 0.6960 |
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| 0.0045 | 91.1111 | 1640 | 0.0050 | 0.8483 | 0.8883 | 0.9981 | 0.7772 | 0.6984 |
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| 0.0041 | 91.6667 | 1650 | 0.0050 | 0.8476 | 0.8866 | 0.9981 | 0.7738 | 0.6970 |
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| 0.0038 | 92.2222 | 1660 | 0.0050 | 0.8477 | 0.8865 | 0.9981 | 0.7737 | 0.6972 |
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| 0.0087 | 92.7778 | 1670 | 0.0050 | 0.8474 | 0.8854 | 0.9981 | 0.7714 | 0.6967 |
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| 0.0031 | 93.3333 | 1680 | 0.0050 | 0.8479 | 0.8875 | 0.9981 | 0.7755 | 0.6976 |
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| 0.0021 | 93.8889 | 1690 | 0.0050 | 0.8484 | 0.8896 | 0.9981 | 0.7799 | 0.6988 |
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| 226 |
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| 0.0042 | 94.4444 | 1700 | 0.0050 | 0.8488 | 0.8911 | 0.9981 | 0.7828 | 0.6994 |
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| 0.0055 | 95.0 | 1710 | 0.0050 | 0.8489 | 0.8910 | 0.9981 | 0.7826 | 0.6997 |
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| 0.003 | 95.5556 | 1720 | 0.0050 | 0.8481 | 0.8881 | 0.9981 | 0.7769 | 0.6980 |
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| 0.0205 | 96.1111 | 1730 | 0.0050 | 0.8480 | 0.8873 | 0.9981 | 0.7752 | 0.6979 |
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| 230 |
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| 0.0081 | 96.6667 | 1740 | 0.0050 | 0.8487 | 0.8908 | 0.9981 | 0.7823 | 0.6993 |
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| 231 |
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| 0.0073 | 97.2222 | 1750 | 0.0050 | 0.8482 | 0.8885 | 0.9981 | 0.7776 | 0.6983 |
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| 0.0115 | 97.7778 | 1760 | 0.0050 | 0.8482 | 0.8878 | 0.9981 | 0.7763 | 0.6982 |
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| 0.0063 | 98.3333 | 1770 | 0.0050 | 0.8477 | 0.8860 | 0.9981 | 0.7727 | 0.6972 |
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| 0.0072 | 98.8889 | 1780 | 0.0050 | 0.8480 | 0.8875 | 0.9981 | 0.7756 | 0.6980 |
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| 0.0035 | 99.4444 | 1790 | 0.0050 | 0.8485 | 0.8893 | 0.9981 | 0.7792 | 0.6988 |
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| 0.0027 | 100.0 | 1800 | 0.0050 | 0.8483 | 0.8889 | 0.9981 | 0.7785 | 0.6985 |
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### Framework versions
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- Transformers 4.55.
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- Pytorch 2.8.0+cu126
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- Datasets 4.0.0
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- Tokenizers 0.21.4
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# segformer-b0-finetuned-net-19Aug
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This model is a fine-tuned version of [PushkarA07/segformer-b0-finetuned-net-19Aug](https://huggingface.co/PushkarA07/segformer-b0-finetuned-net-19Aug) on the PushkarA07/batch3-tiles_third dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.0015
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- Mean Iou: 0.8571
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- Mean Accuracy: 0.8913
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- Overall Accuracy: 0.9994
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- Accuracy Abnormality: 0.7827
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- Iou Abnormality: 0.7148
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Mean Iou | Mean Accuracy | Overall Accuracy | Accuracy Abnormality | Iou Abnormality |
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|:-------------:|:-------:|:----:|:---------------:|:--------:|:-------------:|:----------------:|:--------------------:|:---------------:|
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| 0.001 | 0.9091 | 10 | 0.0020 | 0.8276 | 0.8581 | 0.9993 | 0.7163 | 0.6559 |
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| 0.0015 | 1.8182 | 20 | 0.0017 | 0.8528 | 0.8835 | 0.9994 | 0.7672 | 0.7061 |
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| 0.0016 | 2.7273 | 30 | 0.0017 | 0.8470 | 0.8701 | 0.9994 | 0.7403 | 0.6946 |
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| 0.0015 | 3.6364 | 40 | 0.0015 | 0.8610 | 0.8964 | 0.9994 | 0.7930 | 0.7226 |
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| 0.0014 | 4.5455 | 50 | 0.0015 | 0.8538 | 0.8767 | 0.9994 | 0.7535 | 0.7082 |
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| 0.0012 | 5.4545 | 60 | 0.0015 | 0.8634 | 0.8919 | 0.9995 | 0.7840 | 0.7274 |
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| 0.0014 | 6.3636 | 70 | 0.0016 | 0.8491 | 0.8729 | 0.9994 | 0.7460 | 0.6989 |
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| 0.0009 | 7.2727 | 80 | 0.0015 | 0.8645 | 0.9068 | 0.9994 | 0.8139 | 0.7296 |
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| 0.0005 | 8.1818 | 90 | 0.0015 | 0.8628 | 0.8978 | 0.9994 | 0.7958 | 0.7262 |
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| 0.0014 | 9.0909 | 100 | 0.0015 | 0.8605 | 0.8907 | 0.9994 | 0.7815 | 0.7216 |
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| 0.0013 | 10.0 | 110 | 0.0015 | 0.8610 | 0.8925 | 0.9994 | 0.7851 | 0.7226 |
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| 0.0022 | 10.9091 | 120 | 0.0015 | 0.8629 | 0.8966 | 0.9994 | 0.7933 | 0.7263 |
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| 0.0018 | 11.8182 | 130 | 0.0014 | 0.8699 | 0.9060 | 0.9995 | 0.8121 | 0.7404 |
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| 0.0013 | 12.7273 | 140 | 0.0014 | 0.8660 | 0.8974 | 0.9995 | 0.7949 | 0.7325 |
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| 0.0019 | 13.6364 | 150 | 0.0014 | 0.8696 | 0.9045 | 0.9995 | 0.8092 | 0.7397 |
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| 0.0015 | 14.5455 | 160 | 0.0014 | 0.8675 | 0.8997 | 0.9995 | 0.7996 | 0.7355 |
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| 0.0016 | 15.4545 | 170 | 0.0014 | 0.8713 | 0.9137 | 0.9995 | 0.8276 | 0.7432 |
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| 0.0018 | 16.3636 | 180 | 0.0015 | 0.8613 | 0.8891 | 0.9994 | 0.7783 | 0.7231 |
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| 0.0027 | 17.2727 | 190 | 0.0014 | 0.8629 | 0.8941 | 0.9994 | 0.7883 | 0.7264 |
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| 0.0013 | 18.1818 | 200 | 0.0016 | 0.8479 | 0.8753 | 0.9994 | 0.7507 | 0.6963 |
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| 0.0011 | 19.0909 | 210 | 0.0015 | 0.8619 | 0.9025 | 0.9994 | 0.8051 | 0.7244 |
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| 0.0007 | 20.0 | 220 | 0.0014 | 0.8608 | 0.8888 | 0.9994 | 0.7777 | 0.7223 |
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| 0.0016 | 20.9091 | 230 | 0.0014 | 0.8683 | 0.9037 | 0.9995 | 0.8076 | 0.7372 |
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| 0.0012 | 21.8182 | 240 | 0.0015 | 0.8605 | 0.8905 | 0.9994 | 0.7811 | 0.7216 |
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| 0.0012 | 22.7273 | 250 | 0.0014 | 0.8697 | 0.9203 | 0.9995 | 0.8409 | 0.7399 |
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| 0.001 | 23.6364 | 260 | 0.0015 | 0.8622 | 0.8908 | 0.9994 | 0.7818 | 0.725 |
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| 0.0007 | 24.5455 | 270 | 0.0014 | 0.8693 | 0.9031 | 0.9995 | 0.8064 | 0.7391 |
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| 84 |
+
| 0.0011 | 25.4545 | 280 | 0.0015 | 0.8635 | 0.8948 | 0.9994 | 0.7898 | 0.7275 |
|
| 85 |
+
| 0.0007 | 26.3636 | 290 | 0.0014 | 0.8711 | 0.9169 | 0.9995 | 0.8340 | 0.7428 |
|
| 86 |
+
| 0.0006 | 27.2727 | 300 | 0.0015 | 0.8543 | 0.8856 | 0.9994 | 0.7713 | 0.7092 |
|
| 87 |
+
| 0.0008 | 28.1818 | 310 | 0.0015 | 0.8579 | 0.8860 | 0.9994 | 0.7722 | 0.7164 |
|
| 88 |
+
| 0.0007 | 29.0909 | 320 | 0.0014 | 0.8700 | 0.9062 | 0.9995 | 0.8126 | 0.7406 |
|
| 89 |
+
| 0.0012 | 30.0 | 330 | 0.0015 | 0.8601 | 0.8898 | 0.9994 | 0.7799 | 0.7208 |
|
| 90 |
+
| 0.0006 | 30.9091 | 340 | 0.0014 | 0.8705 | 0.9219 | 0.9995 | 0.8441 | 0.7415 |
|
| 91 |
+
| 0.0015 | 31.8182 | 350 | 0.0014 | 0.8643 | 0.8959 | 0.9995 | 0.7920 | 0.7292 |
|
| 92 |
+
| 0.002 | 32.7273 | 360 | 0.0015 | 0.8567 | 0.8816 | 0.9994 | 0.7633 | 0.7140 |
|
| 93 |
+
| 0.0019 | 33.6364 | 370 | 0.0013 | 0.8741 | 0.9212 | 0.9995 | 0.8427 | 0.7487 |
|
| 94 |
+
| 0.0016 | 34.5455 | 380 | 0.0015 | 0.8607 | 0.8920 | 0.9994 | 0.7842 | 0.7219 |
|
| 95 |
+
| 0.0015 | 35.4545 | 390 | 0.0014 | 0.8619 | 0.8970 | 0.9994 | 0.7941 | 0.7243 |
|
| 96 |
+
| 0.0017 | 36.3636 | 400 | 0.0014 | 0.8634 | 0.8958 | 0.9994 | 0.7918 | 0.7274 |
|
| 97 |
+
| 0.0009 | 37.2727 | 410 | 0.0016 | 0.8468 | 0.8704 | 0.9994 | 0.7410 | 0.6942 |
|
| 98 |
+
| 0.0008 | 38.1818 | 420 | 0.0015 | 0.8645 | 0.9057 | 0.9994 | 0.8117 | 0.7296 |
|
| 99 |
+
| 0.0005 | 39.0909 | 430 | 0.0015 | 0.8585 | 0.8901 | 0.9994 | 0.7804 | 0.7175 |
|
| 100 |
+
| 0.0011 | 40.0 | 440 | 0.0015 | 0.8622 | 0.9003 | 0.9994 | 0.8007 | 0.7249 |
|
| 101 |
+
| 0.0012 | 40.9091 | 450 | 0.0015 | 0.8567 | 0.8905 | 0.9994 | 0.7812 | 0.7140 |
|
| 102 |
+
| 0.003 | 41.8182 | 460 | 0.0017 | 0.8419 | 0.8647 | 0.9994 | 0.7296 | 0.6844 |
|
| 103 |
+
| 0.0016 | 42.7273 | 470 | 0.0016 | 0.8508 | 0.8781 | 0.9994 | 0.7563 | 0.7022 |
|
| 104 |
+
| 0.001 | 43.6364 | 480 | 0.0015 | 0.8537 | 0.8825 | 0.9994 | 0.7652 | 0.7081 |
|
| 105 |
+
| 0.0012 | 44.5455 | 490 | 0.0014 | 0.8701 | 0.9085 | 0.9995 | 0.8173 | 0.7408 |
|
| 106 |
+
| 0.0006 | 45.4545 | 500 | 0.0016 | 0.8523 | 0.8791 | 0.9994 | 0.7583 | 0.7052 |
|
| 107 |
+
| 0.0018 | 46.3636 | 510 | 0.0016 | 0.8526 | 0.8848 | 0.9994 | 0.7697 | 0.7058 |
|
| 108 |
+
| 0.0005 | 47.2727 | 520 | 0.0015 | 0.8627 | 0.8967 | 0.9994 | 0.7937 | 0.7259 |
|
| 109 |
+
| 0.0007 | 48.1818 | 530 | 0.0014 | 0.8636 | 0.8939 | 0.9995 | 0.7879 | 0.7277 |
|
| 110 |
+
| 0.0012 | 49.0909 | 540 | 0.0016 | 0.8542 | 0.8828 | 0.9994 | 0.7657 | 0.7091 |
|
| 111 |
+
| 0.0009 | 50.0 | 550 | 0.0014 | 0.8679 | 0.9073 | 0.9995 | 0.8147 | 0.7364 |
|
| 112 |
+
| 0.0015 | 50.9091 | 560 | 0.0014 | 0.8692 | 0.9054 | 0.9995 | 0.8110 | 0.7389 |
|
| 113 |
+
| 0.0004 | 51.8182 | 570 | 0.0014 | 0.8687 | 0.9043 | 0.9995 | 0.8088 | 0.7379 |
|
| 114 |
+
| 0.0017 | 52.7273 | 580 | 0.0015 | 0.8590 | 0.8944 | 0.9994 | 0.7889 | 0.7185 |
|
| 115 |
+
| 0.0011 | 53.6364 | 590 | 0.0016 | 0.8545 | 0.8868 | 0.9994 | 0.7738 | 0.7096 |
|
| 116 |
+
| 0.0004 | 54.5455 | 600 | 0.0015 | 0.8637 | 0.8961 | 0.9994 | 0.7924 | 0.7280 |
|
| 117 |
+
| 0.0015 | 55.4545 | 610 | 0.0014 | 0.8673 | 0.9020 | 0.9995 | 0.8041 | 0.7351 |
|
| 118 |
+
| 0.001 | 56.3636 | 620 | 0.0015 | 0.8627 | 0.8966 | 0.9994 | 0.7933 | 0.7259 |
|
| 119 |
+
| 0.001 | 57.2727 | 630 | 0.0014 | 0.8689 | 0.9043 | 0.9995 | 0.8088 | 0.7382 |
|
| 120 |
+
| 0.0011 | 58.1818 | 640 | 0.0014 | 0.8659 | 0.8981 | 0.9995 | 0.7963 | 0.7323 |
|
| 121 |
+
| 0.0012 | 59.0909 | 650 | 0.0015 | 0.8615 | 0.8945 | 0.9994 | 0.7891 | 0.7235 |
|
| 122 |
+
| 0.0015 | 60.0 | 660 | 0.0015 | 0.8638 | 0.9029 | 0.9994 | 0.8061 | 0.7282 |
|
| 123 |
+
| 0.0007 | 60.9091 | 670 | 0.0014 | 0.8720 | 0.9131 | 0.9995 | 0.8264 | 0.7446 |
|
| 124 |
+
| 0.0017 | 61.8182 | 680 | 0.0015 | 0.8582 | 0.8850 | 0.9994 | 0.7701 | 0.7170 |
|
| 125 |
+
| 0.0015 | 62.7273 | 690 | 0.0015 | 0.8588 | 0.8906 | 0.9994 | 0.7814 | 0.7183 |
|
| 126 |
+
| 0.0014 | 63.6364 | 700 | 0.0014 | 0.8656 | 0.9058 | 0.9994 | 0.8118 | 0.7318 |
|
| 127 |
+
| 0.0011 | 64.5455 | 710 | 0.0015 | 0.8606 | 0.8918 | 0.9994 | 0.7838 | 0.7218 |
|
| 128 |
+
| 0.0015 | 65.4545 | 720 | 0.0015 | 0.8612 | 0.8913 | 0.9994 | 0.7828 | 0.7229 |
|
| 129 |
+
| 0.0008 | 66.3636 | 730 | 0.0014 | 0.8675 | 0.9015 | 0.9995 | 0.8031 | 0.7356 |
|
| 130 |
+
| 0.0005 | 67.2727 | 740 | 0.0015 | 0.8611 | 0.8908 | 0.9994 | 0.7817 | 0.7228 |
|
| 131 |
+
| 0.0009 | 68.1818 | 750 | 0.0016 | 0.8508 | 0.8781 | 0.9994 | 0.7563 | 0.7022 |
|
| 132 |
+
| 0.0008 | 69.0909 | 760 | 0.0016 | 0.8503 | 0.8830 | 0.9994 | 0.7662 | 0.7013 |
|
| 133 |
+
| 0.0006 | 70.0 | 770 | 0.0015 | 0.8568 | 0.8936 | 0.9994 | 0.7874 | 0.7142 |
|
| 134 |
+
| 0.0009 | 70.9091 | 780 | 0.0015 | 0.8546 | 0.8837 | 0.9994 | 0.7676 | 0.7097 |
|
| 135 |
+
| 0.0018 | 71.8182 | 790 | 0.0016 | 0.8527 | 0.8826 | 0.9994 | 0.7653 | 0.7059 |
|
| 136 |
+
| 0.0007 | 72.7273 | 800 | 0.0015 | 0.8599 | 0.8992 | 0.9994 | 0.7985 | 0.7204 |
|
| 137 |
+
| 0.0011 | 73.6364 | 810 | 0.0015 | 0.8613 | 0.8979 | 0.9994 | 0.7960 | 0.7231 |
|
| 138 |
+
| 0.0012 | 74.5455 | 820 | 0.0016 | 0.8490 | 0.8756 | 0.9994 | 0.7513 | 0.6986 |
|
| 139 |
+
| 0.0013 | 75.4545 | 830 | 0.0016 | 0.8538 | 0.8858 | 0.9994 | 0.7717 | 0.7082 |
|
| 140 |
+
| 0.0013 | 76.3636 | 840 | 0.0015 | 0.8589 | 0.8940 | 0.9994 | 0.7882 | 0.7184 |
|
| 141 |
+
| 0.0005 | 77.2727 | 850 | 0.0015 | 0.8580 | 0.8925 | 0.9994 | 0.7852 | 0.7166 |
|
| 142 |
+
| 0.001 | 78.1818 | 860 | 0.0015 | 0.8581 | 0.8937 | 0.9994 | 0.7876 | 0.7167 |
|
| 143 |
+
| 0.0009 | 79.0909 | 870 | 0.0015 | 0.8584 | 0.8925 | 0.9994 | 0.7853 | 0.7173 |
|
| 144 |
+
| 0.0018 | 80.0 | 880 | 0.0016 | 0.8573 | 0.8911 | 0.9994 | 0.7825 | 0.7152 |
|
| 145 |
+
| 0.0016 | 80.9091 | 890 | 0.0016 | 0.8526 | 0.8845 | 0.9994 | 0.7692 | 0.7059 |
|
| 146 |
+
| 0.0003 | 81.8182 | 900 | 0.0016 | 0.8556 | 0.8897 | 0.9994 | 0.7797 | 0.7119 |
|
| 147 |
+
| 0.0016 | 82.7273 | 910 | 0.0015 | 0.8589 | 0.8967 | 0.9994 | 0.7937 | 0.7183 |
|
| 148 |
+
| 0.0013 | 83.6364 | 920 | 0.0016 | 0.8555 | 0.8882 | 0.9994 | 0.7765 | 0.7115 |
|
| 149 |
+
| 0.0009 | 84.5455 | 930 | 0.0016 | 0.8547 | 0.8872 | 0.9994 | 0.7745 | 0.7100 |
|
| 150 |
+
| 0.0013 | 85.4545 | 940 | 0.0016 | 0.8564 | 0.8910 | 0.9994 | 0.7822 | 0.7134 |
|
| 151 |
+
| 0.0012 | 86.3636 | 950 | 0.0016 | 0.8548 | 0.8883 | 0.9994 | 0.7769 | 0.7101 |
|
| 152 |
+
| 0.0015 | 87.2727 | 960 | 0.0016 | 0.8526 | 0.8840 | 0.9994 | 0.7682 | 0.7058 |
|
| 153 |
+
| 0.0008 | 88.1818 | 970 | 0.0016 | 0.8524 | 0.8812 | 0.9994 | 0.7625 | 0.7054 |
|
| 154 |
+
| 0.0011 | 89.0909 | 980 | 0.0015 | 0.8571 | 0.8905 | 0.9994 | 0.7812 | 0.7147 |
|
| 155 |
+
| 0.0008 | 90.0 | 990 | 0.0016 | 0.8568 | 0.8906 | 0.9994 | 0.7813 | 0.7141 |
|
| 156 |
+
| 0.0006 | 90.9091 | 1000 | 0.0016 | 0.8541 | 0.8874 | 0.9994 | 0.775 | 0.7088 |
|
| 157 |
+
| 0.0006 | 91.8182 | 1010 | 0.0016 | 0.8553 | 0.8903 | 0.9994 | 0.7808 | 0.7113 |
|
| 158 |
+
| 0.0008 | 92.7273 | 1020 | 0.0016 | 0.8565 | 0.8953 | 0.9994 | 0.7909 | 0.7135 |
|
| 159 |
+
| 0.0016 | 93.6364 | 1030 | 0.0016 | 0.8565 | 0.8942 | 0.9994 | 0.7885 | 0.7136 |
|
| 160 |
+
| 0.0009 | 94.5455 | 1040 | 0.0015 | 0.8579 | 0.8954 | 0.9994 | 0.7910 | 0.7163 |
|
| 161 |
+
| 0.0011 | 95.4545 | 1050 | 0.0015 | 0.8587 | 0.8969 | 0.9994 | 0.7940 | 0.7179 |
|
| 162 |
+
| 0.001 | 96.3636 | 1060 | 0.0015 | 0.8578 | 0.8932 | 0.9994 | 0.7867 | 0.7162 |
|
| 163 |
+
| 0.0011 | 97.2727 | 1070 | 0.0015 | 0.8570 | 0.8918 | 0.9994 | 0.7839 | 0.7145 |
|
| 164 |
+
| 0.001 | 98.1818 | 1080 | 0.0015 | 0.8572 | 0.8910 | 0.9994 | 0.7822 | 0.7151 |
|
| 165 |
+
| 0.0008 | 99.0909 | 1090 | 0.0015 | 0.8568 | 0.8901 | 0.9994 | 0.7804 | 0.7142 |
|
| 166 |
+
| 0.001 | 100.0 | 1100 | 0.0015 | 0.8571 | 0.8913 | 0.9994 | 0.7827 | 0.7148 |
|
|
|
|
|
|
|
|
|
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|
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|
| 167 |
|
| 168 |
|
| 169 |
### Framework versions
|
| 170 |
|
| 171 |
+
- Transformers 4.55.4
|
| 172 |
- Pytorch 2.8.0+cu126
|
| 173 |
- Datasets 4.0.0
|
| 174 |
- Tokenizers 0.21.4
|
config.json
CHANGED
|
@@ -73,5 +73,5 @@
|
|
| 73 |
2
|
| 74 |
],
|
| 75 |
"torch_dtype": "float32",
|
| 76 |
-
"transformers_version": "4.55.
|
| 77 |
}
|
|
|
|
| 73 |
2
|
| 74 |
],
|
| 75 |
"torch_dtype": "float32",
|
| 76 |
+
"transformers_version": "4.55.4"
|
| 77 |
}
|
model.safetensors
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 14884776
|
|
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:2071a082c3c93d9232802380394b171321eacb9c34a7811d66f3dff5c8894ce9
|
| 3 |
size 14884776
|
training_args.bin
CHANGED
|
@@ -1,3 +1,3 @@
|
|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
-
oid sha256:
|
| 3 |
size 5777
|
|
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|
| 1 |
version https://git-lfs.github.com/spec/v1
|
| 2 |
+
oid sha256:3c4e8beb0808615e414da3455ec32292354ec6bc75e9bf43eab2aec6054b70fc
|
| 3 |
size 5777
|