dibsondivya
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README.md
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# ernie-phmtweets-sutd
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This model is a fine-tuned version of [ernie-2.0-en](https://huggingface.co/nghuyong/ernie-2.0-en) for text classification to identify public health events through tweets. The
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It achieves the following results on the evaluation set:
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- Accuracy: 0.885
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# ernie-phmtweets-sutd
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This model is a fine-tuned version of [ernie-2.0-en](https://huggingface.co/nghuyong/ernie-2.0-en) for text classification to identify public health events through tweets. The project was based on an [Emory University Study on Detection of Personal Health Mentions in Social Media paper](https://arxiv.org/pdf/1802.09130v2.pdf), that worked with this [custom dataset](https://github.com/emory-irlab/PHM2017).
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It achieves the following results on the evaluation set:
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- Accuracy: 0.885
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