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README.md
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<!-- Provide a quick summary of what the model is/does. -->
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## Model Details
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<!-- Provide a quick summary of what the model is/does. -->
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SetFit/CR
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{'micro': 0.9281914893617021, 'macro': 0.9228424852745583, 'weighted': 0.9284616410832751}
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SetFit/sst2
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{'micro': 0.9033498077979132, 'macro': 0.9032339876669349, 'weighted': 0.9032395029112672}
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SetFit/sst5
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{'micro': 0.5036199095022624, 'macro': 0.44533764037309015, 'weighted': 0.4776911372002683}
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AmazonScience/massive
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{'micro': 0.5672494956287828, 'macro': 0.5356133965921358, 'weighted': 0.5418521445080986}
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stanfordnlp/imdb
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positive ['negative', 'positive']
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{'micro': 0.9272, 'macro': 0.9270958316080349, 'weighted': 0.927098036230087}
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SetFit/20_newsgroups
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{'micro': 0.5874933616569304, 'macro': 0.5854490847467648, 'weighted': 0.5979835930393903}
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SetFit/enron_spam
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{'micro': 0.709, 'macro': 0.704819955388253, 'weighted': 0.7051009667907235}
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PolyAI/banking77
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{'micro': 0.4701298701298701, 'macro': 0.4926168103684919, 'weighted': 0.4926168103684919}
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takala/financial_phrasebank
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{'micro': 0.9125441696113075, 'macro': 0.8921046646593235, 'weighted': 0.9135829729867954}
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ag_news
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{'micro': 0.7153947368421053, 'macro': 0.6925676957468548, 'weighted': 0.6925676957468548}
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dair-ai/emotion
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{'micro': 0.551, 'macro': 0.478793248503315, 'weighted': 0.5576205863822417}
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MoritzLaurer/cap_sotu
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{'micro': 0.4217, 'macro': 0.4399062575481137, 'weighted': 0.41649193810300755}
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cornell-movie-review-data/rotten_tomatoes
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{'micro': 0.8217636022514071, 'macro': 0.8213384707123527, 'weighted': 0.8213384707123528}
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Average Score: 0.6801322714760173
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## Model Details
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