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Training in progress epoch 0
Browse files- README.md +5 -20
- tf_model.h5 +1 -1
README.md
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This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.
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- Validation Loss: 0.
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- Train Accuracy: 0.
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- Epoch:
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## Model description
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| Train Loss | Validation Loss | Train Accuracy | Epoch |
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|:----------:|:---------------:|:--------------:|:-----:|
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| 4.6031 | 4.3085 | 0.22 | 1 |
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| 3.9832 | 3.6483 | 0.5267 | 2 |
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| 3.3664 | 3.0777 | 0.7333 | 3 |
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| 2.7864 | 2.5536 | 0.79 | 4 |
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| 2.2796 | 2.0981 | 0.8367 | 5 |
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| 1.8568 | 1.7481 | 0.8533 | 6 |
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| 1.5020 | 1.4506 | 0.86 | 7 |
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| 1.1984 | 1.2295 | 0.8667 | 8 |
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| 0.9634 | 1.0538 | 0.8767 | 9 |
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| 0.7803 | 0.9225 | 0.8833 | 10 |
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| 0.6313 | 0.8097 | 0.9 | 11 |
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| 0.5202 | 0.7329 | 0.89 | 12 |
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| 0.4409 | 0.6714 | 0.8933 | 13 |
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| 0.3708 | 0.6185 | 0.8933 | 14 |
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| 0.3148 | 0.5851 | 0.9033 | 15 |
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### Framework versions
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This model is a fine-tuned version of [bert-large-uncased](https://huggingface.co/bert-large-uncased) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Train Loss: 0.1683
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- Validation Loss: 0.1177
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- Train Accuracy: 0.99
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- Epoch: 0
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## Model description
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| Train Loss | Validation Loss | Train Accuracy | Epoch |
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|:----------:|:---------------:|:--------------:|:-----:|
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| 0.1683 | 0.1177 | 0.99 | 0 |
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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 1341734528
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version https://git-lfs.github.com/spec/v1
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oid sha256:99b517661156d2dae79377d5b9bdc9739afe592f77e042230d28d529963b624b
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size 1341734528
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