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# fine-tuned-bert
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This model is a fine-tuned version of [bert-base-
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It achieves the following results on the evaluation set:
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- Loss: 1.
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- Accuracy: 0.
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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| No log | 1.0 | 2 | 1.
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| No log | 2.0 | 4 | 1.
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| No log | 3.0 | 6 | 1.
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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# fine-tuned-bert
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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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- Loss: 1.5239
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- Accuracy: 0.3
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## Model description
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| Training Loss | Epoch | Step | Validation Loss | Accuracy |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|
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| No log | 1.0 | 2 | 1.5176 | 0.3 |
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| No log | 2.0 | 4 | 1.5253 | 0.3 |
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| No log | 3.0 | 6 | 1.5239 | 0.3 |
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### Framework versions
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- Transformers 4.26.1
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- Pytorch 1.13.1+cu117
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- Datasets 2.9.0
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- Tokenizers 0.13.2
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