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Update README.md

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  This fine tunned model will do sentiment analysis,based on 6 sentiments -
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  sadness (0), joy (1), love (2), anger (3), fear (4), surprise (5)
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  After third epoch, accuracy: 0.9360
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  Test:
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- accuracy: 0.9265
 
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+ ---
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+ datasets:
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+ - dair-ai/emotion
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+ - SetFit/emotion
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+ language:
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+ - en
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+ pipeline_tag: text-classification
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+ tags:
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+ - Transformers
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+ - Text Classification
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+ - bert-base-uncased
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+ - emotion-classification
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+ ---
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  This fine tunned model will do sentiment analysis,based on 6 sentiments -
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  sadness (0), joy (1), love (2), anger (3), fear (4), surprise (5)
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  After third epoch, accuracy: 0.9360
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  Test:
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+ accuracy: 0.9265