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## Overview
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The model is more optimized for hinglish + emojis and emojis seem to take more attention than the hinglish words.
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## Overview
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The model is more optimized for hinglish + emojis and emojis seem to take more attention than the hinglish words.
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The model was fine-tuned with dataset : mteb/tweet_sentiment_extraction from huggingface
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converted to hinglish text.
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The model has test loss of 0.6 and f1 score of 0.74.
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