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README.md
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# distilbert-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: 0.1216
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- Accuracy: 0.9521
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## Model description
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This emotion classifier has been trained on 89_754 examples split into train, validation and test
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Each label was perfectly balanced in each split.
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## Intended uses & limitations
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# distilbert-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 balanced dataset](https://huggingface.co/datasets/AdamCodd/emotion-balanced).
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It achieves the following results on the evaluation set:
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- Loss: 0.1216
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- Accuracy: 0.9521
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## Model description
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This emotion classifier has been trained on 89_754 examples split into train, validation and test. Each label was perfectly balanced in each split.
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## Intended uses & limitations
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