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@@ -12,7 +12,8 @@ should probably proofread and complete it, then remove this comment. -->
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  # bert-base-uncased-issues-128
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- This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the None dataset.
 
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  It achieves the following results on the evaluation set:
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  - Loss: 1.2520
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  # bert-base-uncased-issues-128
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+ This model is a fine-tuned version of [bert-base-uncased](https://huggingface.co/bert-base-uncased) on the GitHub issues dataset. The model is used in Chapter 9: Dealing with Few to No Labels in the [NLP with Transformers book](https://learning.oreilly.com/library/view/natural-language-processing/9781098103231/). You can find the full code in the accompanying [Github repository](https://github.com/nlp-with-transformers/notebooks/blob/main/09_few-to-no-labels.ipynb).
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  It achieves the following results on the evaluation set:
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  - Loss: 1.2520
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