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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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  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 a test loss of 0.6 and an f1 score of 0.74 on the unseen data from the dataset.