Update README.md

README.md

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 license: apache-2.0
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+Model description Cased fine-tuned BERT model for English, trained on (manually annotated) Hungarian parliamentary speeches scraped from parlament.hu, and translated with Google Translate API.
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+Training The fine-tuned version of the original bert-base-cased model (bert-base-cased), trained on HunEmPoli corpus, translated with Google Translate API.
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+The model can be used as any other (cased) BERT model. It has been tested recognizing emotions at the sentence level in (parliamentary) pre-agenda speeches, where:
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+'Label_0': Neutral
+'Label_1': Fear
+'Label_2': Sadness
+'Label_3': Anger
+'Label_4': Disgust
+'Label_5': Success
+'Label_6': Joy
+'Label_7': Trust
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+Eval results
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