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@@ -7,6 +7,8 @@ metrics:
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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
@@ -14,7 +16,7 @@ should probably proofread and complete it, then remove this comment. -->
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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 an unknown 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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  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