update model card README.md
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README.md
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 1 | 0.
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| No log | 6.0 | 6 | 0.
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| No log | 7.0 | 7 | 0.
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| No log | 8.0 | 8 | 0.
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### Framework versions
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|
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This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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+
- Loss: 0.5746
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+
- Accuracy: 0.6562
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| 52 |
|:-------------:|:-----:|:----:|:---------------:|:--------:|
|
| 53 |
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| No log | 1.0 | 1 | 0.6874 | 0.5 |
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| 54 |
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| No log | 2.0 | 2 | 0.6874 | 0.5 |
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| 55 |
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| No log | 3.0 | 3 | 0.6873 | 0.5 |
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| 56 |
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| No log | 4.0 | 4 | 0.6872 | 0.5 |
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| 57 |
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| No log | 5.0 | 5 | 0.6871 | 0.5 |
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| 58 |
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| No log | 6.0 | 6 | 0.6870 | 0.5 |
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| No log | 7.0 | 7 | 0.6868 | 0.5 |
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| No log | 8.0 | 8 | 0.6866 | 0.5 |
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| No log | 9.0 | 9 | 0.6864 | 0.5 |
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| 0.7296 | 10.0 | 10 | 0.6861 | 0.5312 |
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| 0.7296 | 11.0 | 11 | 0.6858 | 0.5312 |
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| 64 |
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| 0.7296 | 12.0 | 12 | 0.6855 | 0.5312 |
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| 0.7296 | 13.0 | 13 | 0.6852 | 0.5312 |
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| 0.7296 | 14.0 | 14 | 0.6848 | 0.5312 |
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| 67 |
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| 0.7296 | 15.0 | 15 | 0.6844 | 0.5312 |
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| 68 |
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| 0.7296 | 16.0 | 16 | 0.6840 | 0.5312 |
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| 69 |
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| 0.7296 | 17.0 | 17 | 0.6836 | 0.5312 |
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| 0.7296 | 18.0 | 18 | 0.6832 | 0.5312 |
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| 0.7296 | 19.0 | 19 | 0.6827 | 0.5312 |
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| 0.723 | 20.0 | 20 | 0.6821 | 0.5312 |
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| 0.723 | 21.0 | 21 | 0.6816 | 0.5312 |
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| 0.723 | 22.0 | 22 | 0.6811 | 0.5312 |
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| 0.723 | 23.0 | 23 | 0.6805 | 0.5312 |
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| 0.723 | 24.0 | 24 | 0.6799 | 0.5312 |
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| 0.723 | 25.0 | 25 | 0.6792 | 0.5312 |
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| 78 |
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| 0.723 | 26.0 | 26 | 0.6786 | 0.5312 |
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| 0.723 | 27.0 | 27 | 0.6779 | 0.5312 |
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| 0.723 | 28.0 | 28 | 0.6772 | 0.5312 |
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| 0.723 | 29.0 | 29 | 0.6765 | 0.5312 |
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| 0.7042 | 30.0 | 30 | 0.6758 | 0.5312 |
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| 0.7042 | 31.0 | 31 | 0.6751 | 0.5312 |
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| 0.7042 | 32.0 | 32 | 0.6744 | 0.5312 |
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| 0.7042 | 33.0 | 33 | 0.6736 | 0.5312 |
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| 86 |
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| 0.7042 | 34.0 | 34 | 0.6728 | 0.5312 |
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| 87 |
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| 0.7042 | 35.0 | 35 | 0.6721 | 0.5312 |
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| 88 |
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| 0.7042 | 36.0 | 36 | 0.6713 | 0.5312 |
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| 89 |
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| 0.7042 | 37.0 | 37 | 0.6706 | 0.5312 |
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| 90 |
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| 0.7042 | 38.0 | 38 | 0.6698 | 0.5312 |
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| 91 |
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| 0.7042 | 39.0 | 39 | 0.6692 | 0.5312 |
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| 92 |
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| 0.6973 | 40.0 | 40 | 0.6686 | 0.5312 |
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| 93 |
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| 0.6973 | 41.0 | 41 | 0.6679 | 0.5625 |
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| 0.6973 | 42.0 | 42 | 0.6671 | 0.5312 |
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| 0.6973 | 43.0 | 43 | 0.6664 | 0.5625 |
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| 0.6973 | 44.0 | 44 | 0.6657 | 0.5625 |
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| 0.6973 | 45.0 | 45 | 0.6649 | 0.5625 |
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| 0.6973 | 46.0 | 46 | 0.6642 | 0.5625 |
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| 0.6973 | 47.0 | 47 | 0.6634 | 0.5625 |
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| 0.6973 | 48.0 | 48 | 0.6626 | 0.5625 |
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| 0.6973 | 49.0 | 49 | 0.6618 | 0.5625 |
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| 0.6684 | 50.0 | 50 | 0.6611 | 0.5625 |
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| 0.6684 | 51.0 | 51 | 0.6602 | 0.5625 |
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| 0.6684 | 52.0 | 52 | 0.6594 | 0.5625 |
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| 0.6684 | 53.0 | 53 | 0.6586 | 0.5938 |
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| 0.6684 | 54.0 | 54 | 0.6577 | 0.5938 |
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| 0.6684 | 55.0 | 55 | 0.6571 | 0.625 |
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| 0.6684 | 56.0 | 56 | 0.6564 | 0.625 |
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| 0.6684 | 57.0 | 57 | 0.6557 | 0.625 |
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| 0.6684 | 58.0 | 58 | 0.6549 | 0.625 |
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| 0.6684 | 59.0 | 59 | 0.6541 | 0.625 |
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| 0.6395 | 60.0 | 60 | 0.6533 | 0.625 |
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| 0.6395 | 61.0 | 61 | 0.6525 | 0.6562 |
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| 0.6395 | 62.0 | 62 | 0.6517 | 0.625 |
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| 0.6395 | 63.0 | 63 | 0.6509 | 0.625 |
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| 0.6395 | 64.0 | 64 | 0.6500 | 0.625 |
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| 0.6395 | 65.0 | 65 | 0.6491 | 0.6562 |
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| 0.6395 | 66.0 | 66 | 0.6483 | 0.6875 |
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| 0.6395 | 67.0 | 67 | 0.6476 | 0.6875 |
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| 0.6395 | 68.0 | 68 | 0.6469 | 0.6875 |
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| 0.6395 | 69.0 | 69 | 0.6461 | 0.6875 |
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| 0.5977 | 70.0 | 70 | 0.6452 | 0.6875 |
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| 0.5977 | 71.0 | 71 | 0.6442 | 0.6875 |
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| 0.5977 | 72.0 | 72 | 0.6432 | 0.7188 |
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| 0.5977 | 73.0 | 73 | 0.6421 | 0.7188 |
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| 0.5977 | 74.0 | 74 | 0.6410 | 0.7188 |
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| 0.5977 | 75.0 | 75 | 0.6399 | 0.7188 |
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| 128 |
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| 0.5977 | 76.0 | 76 | 0.6387 | 0.6875 |
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| 0.5977 | 77.0 | 77 | 0.6374 | 0.6875 |
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| 0.5977 | 78.0 | 78 | 0.6360 | 0.6562 |
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| 0.5977 | 79.0 | 79 | 0.6346 | 0.6562 |
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| 0.5544 | 80.0 | 80 | 0.6333 | 0.6562 |
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| 0.5544 | 81.0 | 81 | 0.6319 | 0.6562 |
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| 0.5544 | 82.0 | 82 | 0.6306 | 0.6562 |
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| 135 |
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| 0.5544 | 83.0 | 83 | 0.6292 | 0.6562 |
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| 136 |
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| 0.5544 | 84.0 | 84 | 0.6278 | 0.6875 |
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| 0.5544 | 85.0 | 85 | 0.6264 | 0.7188 |
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| 0.5544 | 86.0 | 86 | 0.6251 | 0.7188 |
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| 0.5544 | 87.0 | 87 | 0.6239 | 0.6875 |
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| 0.5544 | 88.0 | 88 | 0.6227 | 0.6875 |
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| 0.5544 | 89.0 | 89 | 0.6216 | 0.6875 |
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| 142 |
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| 0.4889 | 90.0 | 90 | 0.6204 | 0.6875 |
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| 0.4889 | 91.0 | 91 | 0.6193 | 0.6875 |
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| 0.4889 | 92.0 | 92 | 0.6180 | 0.6875 |
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| 0.4889 | 93.0 | 93 | 0.6165 | 0.6875 |
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| 0.4889 | 94.0 | 94 | 0.6148 | 0.6875 |
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| 147 |
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| 0.4889 | 95.0 | 95 | 0.6132 | 0.7188 |
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| 148 |
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| 0.4889 | 96.0 | 96 | 0.6119 | 0.75 |
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| 149 |
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| 0.4889 | 97.0 | 97 | 0.6108 | 0.75 |
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| 0.4889 | 98.0 | 98 | 0.6097 | 0.75 |
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| 0.4889 | 99.0 | 99 | 0.6086 | 0.75 |
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| 0.435 | 100.0 | 100 | 0.6076 | 0.75 |
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| 153 |
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| 0.435 | 101.0 | 101 | 0.6065 | 0.75 |
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| 0.435 | 102.0 | 102 | 0.6056 | 0.75 |
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| 0.435 | 103.0 | 103 | 0.6046 | 0.75 |
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| 156 |
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| 0.435 | 104.0 | 104 | 0.6035 | 0.75 |
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| 157 |
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| 0.435 | 105.0 | 105 | 0.6025 | 0.75 |
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| 0.435 | 106.0 | 106 | 0.6015 | 0.75 |
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| 159 |
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| 0.435 | 107.0 | 107 | 0.6004 | 0.75 |
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| 0.435 | 108.0 | 108 | 0.5992 | 0.75 |
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| 161 |
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| 0.435 | 109.0 | 109 | 0.5980 | 0.75 |
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| 0.3744 | 110.0 | 110 | 0.5969 | 0.75 |
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| 0.3744 | 111.0 | 111 | 0.5960 | 0.75 |
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| 0.3744 | 112.0 | 112 | 0.5952 | 0.75 |
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| 0.3744 | 113.0 | 113 | 0.5943 | 0.75 |
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| 0.3744 | 114.0 | 114 | 0.5936 | 0.75 |
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| 0.3744 | 115.0 | 115 | 0.5928 | 0.7188 |
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| 168 |
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| 0.3744 | 116.0 | 116 | 0.5921 | 0.7188 |
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| 169 |
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| 0.3744 | 117.0 | 117 | 0.5912 | 0.7188 |
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| 0.3744 | 118.0 | 118 | 0.5905 | 0.7188 |
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| 171 |
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| 0.3744 | 119.0 | 119 | 0.5901 | 0.7188 |
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| 0.32 | 120.0 | 120 | 0.5903 | 0.6875 |
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| 173 |
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| 0.32 | 121.0 | 121 | 0.5904 | 0.6875 |
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| 174 |
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| 0.32 | 122.0 | 122 | 0.5904 | 0.6875 |
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| 175 |
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| 0.32 | 123.0 | 123 | 0.5897 | 0.6875 |
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| 176 |
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| 0.32 | 124.0 | 124 | 0.5890 | 0.6875 |
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| 177 |
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| 0.32 | 125.0 | 125 | 0.5884 | 0.6875 |
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| 178 |
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| 0.32 | 126.0 | 126 | 0.5876 | 0.6875 |
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| 179 |
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| 0.32 | 127.0 | 127 | 0.5871 | 0.6875 |
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| 180 |
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| 0.32 | 128.0 | 128 | 0.5865 | 0.6562 |
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| 181 |
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| 0.32 | 129.0 | 129 | 0.5859 | 0.6562 |
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| 182 |
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| 0.2664 | 130.0 | 130 | 0.5852 | 0.6562 |
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| 183 |
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| 0.2664 | 131.0 | 131 | 0.5844 | 0.6562 |
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| 184 |
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| 0.2664 | 132.0 | 132 | 0.5838 | 0.6562 |
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| 185 |
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| 0.2664 | 133.0 | 133 | 0.5832 | 0.6562 |
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| 186 |
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| 0.2664 | 134.0 | 134 | 0.5826 | 0.6562 |
|
| 187 |
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| 0.2664 | 135.0 | 135 | 0.5821 | 0.6562 |
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| 188 |
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| 0.2664 | 136.0 | 136 | 0.5817 | 0.6562 |
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| 189 |
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| 0.2664 | 137.0 | 137 | 0.5814 | 0.6562 |
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| 190 |
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| 0.2664 | 138.0 | 138 | 0.5816 | 0.6562 |
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| 191 |
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| 0.2664 | 139.0 | 139 | 0.5819 | 0.6562 |
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| 192 |
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| 0.2318 | 140.0 | 140 | 0.5821 | 0.6562 |
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| 193 |
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| 0.2318 | 141.0 | 141 | 0.5821 | 0.6562 |
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| 194 |
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| 0.2318 | 142.0 | 142 | 0.5818 | 0.6562 |
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| 195 |
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| 0.2318 | 143.0 | 143 | 0.5811 | 0.6562 |
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| 196 |
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| 0.2318 | 144.0 | 144 | 0.5802 | 0.6562 |
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| 197 |
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| 0.2318 | 145.0 | 145 | 0.5801 | 0.6562 |
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| 198 |
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| 0.2318 | 146.0 | 146 | 0.5797 | 0.6562 |
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| 199 |
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| 0.2318 | 147.0 | 147 | 0.5789 | 0.6562 |
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| 0.2318 | 148.0 | 148 | 0.5777 | 0.6562 |
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| 201 |
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| 0.2318 | 149.0 | 149 | 0.5767 | 0.6562 |
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| 202 |
+
| 0.2087 | 150.0 | 150 | 0.5746 | 0.6562 |
|
| 203 |
|
| 204 |
|
| 205 |
### Framework versions
|