Upload TFBertForSequenceClassification
Browse files- README.md +1 -57
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [veriga/tf_disilbert](https://huggingface.co/veriga/tf_disilbert) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Sparse Categorical Accuracy: 0.5457
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- Validation Loss: 0.6883
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- Validation Sparse Categorical Accuracy: 0.5503
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- Epoch: 49
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## Model description
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@@ -43,58 +39,6 @@ The following hyperparameters were used during training:
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### Training results
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| Train Loss | Train Sparse Categorical Accuracy | Validation Loss | Validation Sparse Categorical Accuracy | Epoch |
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|:----------:|:---------------------------------:|:---------------:|:--------------------------------------:|:-----:|
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| 0.6913 | 0.5377 | 0.6900 | 0.5451 | 0 |
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| 0.6924 | 0.5308 | 0.6887 | 0.5477 | 1 |
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| 0.6921 | 0.5335 | 0.6885 | 0.5512 | 2 |
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| 0.6915 | 0.5361 | 0.6899 | 0.5486 | 3 |
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| 0.6909 | 0.5317 | 0.6883 | 0.5495 | 4 |
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| 0.6911 | 0.5359 | 0.6889 | 0.5469 | 5 |
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| 0.6915 | 0.5338 | 0.6883 | 0.5495 | 6 |
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| 0.6914 | 0.5397 | 0.6899 | 0.5503 | 7 |
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| 0.6907 | 0.5407 | 0.6883 | 0.5495 | 8 |
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| 0.6912 | 0.5395 | 0.6885 | 0.5495 | 9 |
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| 0.6906 | 0.5351 | 0.6886 | 0.5477 | 10 |
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| 0.6913 | 0.5403 | 0.6882 | 0.5503 | 11 |
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| 0.6921 | 0.5349 | 0.6886 | 0.5477 | 12 |
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| 0.6907 | 0.5404 | 0.6906 | 0.5495 | 13 |
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| 0.6906 | 0.5328 | 0.6885 | 0.5486 | 14 |
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| 0.6901 | 0.5389 | 0.6881 | 0.5512 | 15 |
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| 0.6906 | 0.5401 | 0.6892 | 0.5469 | 16 |
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| 0.6908 | 0.5422 | 0.6889 | 0.5495 | 17 |
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| 0.6912 | 0.5397 | 0.6888 | 0.5486 | 18 |
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| 0.6919 | 0.5331 | 0.6886 | 0.5486 | 19 |
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| 0.6915 | 0.5427 | 0.6896 | 0.5469 | 20 |
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| 0.6919 | 0.5397 | 0.6922 | 0.5486 | 21 |
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| 0.6909 | 0.5367 | 0.6884 | 0.5495 | 22 |
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| 0.6913 | 0.5345 | 0.6911 | 0.5503 | 23 |
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| 0.6913 | 0.5403 | 0.6887 | 0.5486 | 24 |
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| 0.6898 | 0.5439 | 0.6885 | 0.5486 | 25 |
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| 0.6908 | 0.5404 | 0.6897 | 0.5503 | 26 |
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| 0.6911 | 0.5405 | 0.6884 | 0.5495 | 27 |
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| 0.6912 | 0.5395 | 0.6894 | 0.5495 | 28 |
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| 0.6908 | 0.5405 | 0.6879 | 0.5512 | 29 |
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| 0.6903 | 0.5384 | 0.6908 | 0.5503 | 30 |
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| 0.6916 | 0.5318 | 0.6897 | 0.5486 | 31 |
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| 0.6911 | 0.5398 | 0.6884 | 0.5512 | 32 |
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| 0.6903 | 0.5395 | 0.6886 | 0.5477 | 33 |
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| 0.6909 | 0.5375 | 0.6887 | 0.5495 | 34 |
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| 0.6909 | 0.5416 | 0.6889 | 0.5469 | 35 |
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| 0.6908 | 0.5399 | 0.6883 | 0.5503 | 36 |
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| 0.6910 | 0.5382 | 0.6884 | 0.5486 | 37 |
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| 0.6910 | 0.5421 | 0.6898 | 0.5486 | 38 |
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| 0.6903 | 0.5383 | 0.6888 | 0.5495 | 39 |
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| 0.6907 | 0.5426 | 0.6905 | 0.5486 | 40 |
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| 0.6900 | 0.5437 | 0.6890 | 0.5495 | 41 |
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| 0.6908 | 0.5384 | 0.6888 | 0.5486 | 42 |
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| 0.6904 | 0.5407 | 0.6887 | 0.5495 | 43 |
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| 0.6910 | 0.5408 | 0.6906 | 0.5495 | 44 |
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| 0.6903 | 0.5398 | 0.6880 | 0.5521 | 45 |
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| 0.6906 | 0.5421 | 0.6885 | 0.5486 | 46 |
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| 0.6906 | 0.5378 | 0.6901 | 0.5503 | 47 |
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| 0.6918 | 0.5378 | 0.6893 | 0.5486 | 48 |
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| 0.6901 | 0.5457 | 0.6883 | 0.5503 | 49 |
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### Framework versions
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This model is a fine-tuned version of [veriga/tf_disilbert](https://huggingface.co/veriga/tf_disilbert) on an unknown dataset.
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It achieves the following results on the evaluation set:
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## Model description
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### Training results
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### Framework versions
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tf_model.h5
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size 448330072
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version https://git-lfs.github.com/spec/v1
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oid sha256:86fb7b5b037c304f432f0c7ff251da775dba80c22621b43361c8ef2354c2f60c
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size 448330072
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