Training in progress epoch 1
Browse files- README.md +6 -5
- 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:
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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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| 0.5345 | 0.7810 | 0.4586 | 0.8283 | 0 |
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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: 0.3253
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- Train Accuracy: 0.8797
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- Validation Loss: 0.3890
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- Validation Accuracy: 0.8404
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- Epoch: 1
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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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| 0.5345 | 0.7810 | 0.4586 | 0.8283 | 0 |
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| 0.3253 | 0.8797 | 0.3890 | 0.8404 | 1 |
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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 438226204
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version https://git-lfs.github.com/spec/v1
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oid sha256:16635cac55a4224f0b4ed3bf8f5aa9bd0161dc19e212adbc32ecb902b4612c52
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size 438226204
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