snoneeightfive
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README.md
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@@ -19,7 +19,9 @@ This modelcard aims to be a base template for new models. It has been generated
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The base model I used was cardiffnlp/twitter-roberta-base-sentiment-latest. I used Twitter financial news' comments and headlines, with
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sentiment ranging from 1 to 10 and positive, negative, or neutral to describe it. I then fine-tuned the model and tested it from more
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Twitter financial news data for accuracy.
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- **Developed by:** Atoma Media
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The base model I used was cardiffnlp/twitter-roberta-base-sentiment-latest. I used Twitter financial news' comments and headlines, with
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sentiment ranging from 1 to 10 and positive, negative, or neutral to describe it. I then fine-tuned the model and tested it from more
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Twitter financial news data for accuracy.
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Downloads: 5,667 (all time)
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- **Developed by:** Atoma Media
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