ahmedrachid
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README.md
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Our model was trained on a large corpus of financial texts:
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- TRC2-financial: 1.8M news articles that were published by Reuters between 2008 and 2010.
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**FinancialBERT** is a BERT model pre-trained on a large corpora of financial communications. The purpose is to enhance financial NLP research and practice in financial domain, we hope financial practitioners and researchers can benefit from our model without the necessity of the significant computational resources required to train the model.
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Our model was trained on a large corpus of financial texts:
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- TRC2-financial: 1.8M news articles that were published by Reuters between 2008 and 2010.
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