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  # emotion-classification-model
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- This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the [dair-ai/emotion dataset](https://huggingface.co/datasets/dair-ai/emotion). It is designed to classify text into various emotional categories.
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  It achieves the following results:
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  - **Validation Accuracy:** 94.25%
 
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  # emotion-classification-model
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+ This model is a fine-tuned version of [distilbert-base-uncased](https://huggingface.co/distilbert-base-uncased) on the [dair-ai/emotion dataset](https://huggingface.co/datasets/dair-ai/emotion). It is designed to classify text into the following emotional categories: sadness (0), joy (1), love (2), anger (3), fear (4), surprise (5).
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  It achieves the following results:
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  - **Validation Accuracy:** 94.25%