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README.md
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model-index:
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- name: twitter_xlm_robertta_sentiment_financial_news
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results: []
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# twitter_xlm_robertta_sentiment_financial_news
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This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on
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It achieves the following results on the evaluation set:
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- Loss: 0.4492
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- F1: 0.8812
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- Transformers 4.33.3
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.5
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- Tokenizers 0.13.1
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model-index:
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- name: twitter_xlm_robertta_sentiment_financial_news
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results: []
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datasets:
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- Jean-Baptiste/financial_news_sentiment_mixte_with_phrasebank_75
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---
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# twitter_xlm_robertta_sentiment_financial_news
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This model is a fine-tuned version of [cardiffnlp/twitter-xlm-roberta-base-sentiment](https://huggingface.co/cardiffnlp/twitter-xlm-roberta-base-sentiment) on [this]()https://huggingface.co/datasets/Jean-Baptiste/financial_news_sentiment_mixte_with_phrasebank_75 financial dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.4492
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- F1: 0.8812
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- Transformers 4.33.3
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- Pytorch 2.0.1+cu117
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- Datasets 2.14.5
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- Tokenizers 0.13.1
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