Upload TFBertForSequenceClassification
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- tf_model.h5 +1 -1
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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- Train Loss: 0.
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- Train Accuracy: 0.
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- Validation Loss: 0.
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- Validation Accuracy: 0.
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- Epoch: 2
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## Model description
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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### Framework versions
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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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- Train Loss: 0.1467
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- Train Accuracy: 0.9022
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- Validation Loss: 0.2326
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- Validation Accuracy: 0.8410
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- Epoch: 2
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## Model description
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| Train Loss | Train Accuracy | Validation Loss | Validation Accuracy | Epoch |
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|:----------:|:--------------:|:---------------:|:-------------------:|:-----:|
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| 0.2020 | 0.8796 | 0.2298 | 0.8414 | 0 |
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| 0.1825 | 0.8818 | 0.2321 | 0.8362 | 1 |
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| 0.1467 | 0.9022 | 0.2326 | 0.8410 | 2 |
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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 438223128
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version https://git-lfs.github.com/spec/v1
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oid sha256:84b6544214c77952ba9565cc202e8ee1e84e56c335b08d61d4aaf71f429b0b1e
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size 438223128
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