Model Card for Model ID
SetFit/CR
{'micro': 0.9335106382978723, 'macro': 0.9281164208095314, 'weighted': 0.9335630093414484}
SetFit/sst2
{'micro': 0.9187259747391543, 'macro': 0.9186346729784562, 'weighted': 0.9186391632289823}
SetFit/sst5
{'micro': 0.5158371040723982, 'macro': 0.4668716769534177, 'weighted': 0.4942882118010521}
AmazonScience/massive
{'micro': 0.5968392737054472, 'macro': 0.5661243109536588, 'weighted': 0.5805032591118836}
stanfordnlp/imdb
positive ['negative', 'positive']
{'micro': 0.9357, 'macro': 0.9356513363230943, 'weighted': 0.9356527519936954}
SetFit/20_newsgroups
{'micro': 0.5906797663303239, 'macro': 0.5906889959468431, 'weighted': 0.6032543535813756}
SetFit/enron_spam
{'micro': 0.7495, 'macro': 0.7493370063884041, 'weighted': 0.7493881416391008}
PolyAI/banking77
{'micro': 0.5337662337662338, 'macro': 0.5580752502556054, 'weighted': 0.5580752502556054}
takala/financial_phrasebank
{'micro': 0.9169611307420494, 'macro': 0.9001515751393713, 'weighted': 0.9170710620080179}
ag_news
{'micro': 0.7390789473684211, 'macro': 0.7175665217786062, 'weighted': 0.7175665217786065}
dair-ai/emotion
{'micro': 0.5335, 'macro': 0.4471445881868097, 'weighted': 0.5343209685250315}
MoritzLaurer/cap_sotu
{'micro': 0.4411, 'macro': 0.4651555819551849, 'weighted': 0.4526345425347864}
cornell-movie-review-data/rotten_tomatoes
{'micro': 0.8452157598499062, 'macro': 0.8447401522674611, 'weighted': 0.8447401522674611}
Average Score: 0.6990967761489573
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