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  # distilbert-base-uncased-finetuned-emotion
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset.
 
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2192
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  - Accuracy: 0.927
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  # distilbert-base-uncased-finetuned-emotion
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the emotion dataset. The model is trained in Chapter 2: Text Classification 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/02_classification.ipynb).
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  It achieves the following results on the evaluation set:
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  - Loss: 0.2192
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  - Accuracy: 0.927