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End of training
Browse files- README.md +53 -53
- adapter_model.safetensors +1 -1
- training_args.bin +1 -1
README.md
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This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https://huggingface.co/mahdibaghbanzadeh/seqsight_4096_512_27M) on the [mahdibaghbanzadeh/GUE_EMP_H4](https://huggingface.co/datasets/mahdibaghbanzadeh/GUE_EMP_H4) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.
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- F1 Score: 0.
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- Accuracy: 0.
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## Model description
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@@ -50,56 +50,56 @@ The following hyperparameters were used during training:
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| Training Loss | Epoch | Step | Validation Loss | F1 Score | Accuracy |
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|:-------------:|:------:|:-----:|:---------------:|:--------:|:--------:|
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| 0.2005 | 21.74 | 2000 | 0.
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| 0.1924 | 23.91 | 2200 | 0.
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| 0.1757 | 30.43 | 2800 | 0.
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| 0.1624 | 34.78 | 3200 | 0.
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| 0.1063 | 67.39 | 6200 | 0.
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### Framework versions
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This model is a fine-tuned version of [mahdibaghbanzadeh/seqsight_4096_512_27M](https://huggingface.co/mahdibaghbanzadeh/seqsight_4096_512_27M) on the [mahdibaghbanzadeh/GUE_EMP_H4](https://huggingface.co/datasets/mahdibaghbanzadeh/GUE_EMP_H4) dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.2553
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- F1 Score: 0.9075
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- Accuracy: 0.9076
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | F1 Score | Accuracy |
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|:-------------:|:------:|:-----:|:---------------:|:--------:|:--------:|
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| 0.3464 | 2.17 | 200 | 0.2854 | 0.8926 | 0.8925 |
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| 0.2702 | 4.35 | 400 | 0.2757 | 0.8975 | 0.8973 |
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| 0.2566 | 6.52 | 600 | 0.2777 | 0.8946 | 0.8946 |
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| 0.2531 | 8.7 | 800 | 0.2828 | 0.8982 | 0.8980 |
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| 0.2364 | 10.87 | 1000 | 0.2706 | 0.8973 | 0.8973 |
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| 0.2326 | 13.04 | 1200 | 0.2738 | 0.9000 | 0.9001 |
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| 0.2221 | 15.22 | 1400 | 0.2717 | 0.9077 | 0.9076 |
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| 0.2124 | 17.39 | 1600 | 0.2961 | 0.8929 | 0.8925 |
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| 0.2089 | 19.57 | 1800 | 0.2771 | 0.8959 | 0.8960 |
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| 0.2005 | 21.74 | 2000 | 0.2934 | 0.8962 | 0.8960 |
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| 0.1924 | 23.91 | 2200 | 0.2988 | 0.8959 | 0.8960 |
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| 0.1896 | 26.09 | 2400 | 0.2897 | 0.8912 | 0.8912 |
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| 0.183 | 28.26 | 2600 | 0.3030 | 0.8896 | 0.8898 |
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| 0.1757 | 30.43 | 2800 | 0.3046 | 0.8877 | 0.8877 |
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| 0.1693 | 32.61 | 3000 | 0.3091 | 0.8933 | 0.8932 |
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| 0.1624 | 34.78 | 3200 | 0.3127 | 0.8852 | 0.8850 |
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| 0.1625 | 36.96 | 3400 | 0.3129 | 0.8920 | 0.8919 |
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| 0.1544 | 39.13 | 3600 | 0.3324 | 0.8822 | 0.8823 |
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| 0.1483 | 41.3 | 3800 | 0.3317 | 0.8889 | 0.8891 |
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| 0.1473 | 43.48 | 4000 | 0.3315 | 0.8836 | 0.8836 |
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| 0.1454 | 45.65 | 4200 | 0.3341 | 0.8840 | 0.8843 |
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| 0.1392 | 47.83 | 4400 | 0.3500 | 0.8776 | 0.8775 |
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| 0.1348 | 50.0 | 4600 | 0.3604 | 0.8771 | 0.8775 |
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| 0.1301 | 52.17 | 4800 | 0.3675 | 0.8794 | 0.8795 |
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| 0.1285 | 54.35 | 5000 | 0.3700 | 0.8751 | 0.8754 |
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| 0.1233 | 56.52 | 5200 | 0.3709 | 0.8859 | 0.8857 |
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| 0.1243 | 58.7 | 5400 | 0.3766 | 0.8738 | 0.8741 |
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| 0.1199 | 60.87 | 5600 | 0.3872 | 0.8817 | 0.8816 |
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| 0.1162 | 63.04 | 5800 | 0.3914 | 0.8795 | 0.8795 |
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| 0.1153 | 65.22 | 6000 | 0.3962 | 0.8736 | 0.8741 |
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| 0.1063 | 67.39 | 6200 | 0.3987 | 0.8748 | 0.8747 |
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| 0.1061 | 69.57 | 6400 | 0.4121 | 0.8685 | 0.8686 |
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| 0.1072 | 71.74 | 6600 | 0.4133 | 0.8754 | 0.8754 |
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| 0.1044 | 73.91 | 6800 | 0.4176 | 0.8774 | 0.8775 |
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| 0.1001 | 76.09 | 7000 | 0.4241 | 0.8772 | 0.8775 |
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| 0.1025 | 78.26 | 7200 | 0.4178 | 0.8717 | 0.8720 |
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| 0.0978 | 80.43 | 7400 | 0.4276 | 0.8725 | 0.8727 |
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| 0.0962 | 82.61 | 7600 | 0.4393 | 0.8707 | 0.8713 |
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| 0.0963 | 84.78 | 7800 | 0.4390 | 0.8787 | 0.8789 |
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| 0.0934 | 86.96 | 8000 | 0.4465 | 0.8703 | 0.8706 |
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| 0.0917 | 89.13 | 8200 | 0.4537 | 0.8696 | 0.8700 |
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| 0.0902 | 91.3 | 8400 | 0.4595 | 0.8702 | 0.8706 |
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| 0.0857 | 93.48 | 8600 | 0.4673 | 0.8737 | 0.8741 |
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| 0.0884 | 95.65 | 8800 | 0.4660 | 0.8701 | 0.8706 |
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| 0.0851 | 97.83 | 9000 | 0.4629 | 0.8689 | 0.8693 |
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| 0.0847 | 100.0 | 9200 | 0.4669 | 0.8691 | 0.8693 |
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| 0.0842 | 102.17 | 9400 | 0.4653 | 0.8704 | 0.8706 |
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| 0.083 | 104.35 | 9600 | 0.4690 | 0.8697 | 0.8700 |
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| 0.0825 | 106.52 | 9800 | 0.4758 | 0.8730 | 0.8734 |
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| 0.0844 | 108.7 | 10000 | 0.4728 | 0.8703 | 0.8706 |
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### Framework versions
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adapter_model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 1584096
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version https://git-lfs.github.com/spec/v1
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size 1584096
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training_args.bin
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size 4920
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version https://git-lfs.github.com/spec/v1
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size 4920
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