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  # distilbert-base-uncased-distilled-clinc
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset.
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1005
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  - Accuracy: 0.9394
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  # distilbert-base-uncased-distilled-clinc
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+ This model is a fine-tuned with knowledge distillation version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the clinc_oos dataset. The model is used in Chapter 8: Making Transformers Efficient in Production 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/08_model-compression.ipynb).
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  It achieves the following results on the evaluation set:
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  - Loss: 0.1005
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  - Accuracy: 0.9394