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  # English Verdict Classifier
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- This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on 1,500 deduplicated verdicts, translated to English.
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- It achieves the following results on the evaluation set, being 1,000 verdicts translated into English, including duplicates:
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  - Loss: 0.1258
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  - F1 Macro: 0.8408
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  - F1 Misinformation: 0.9751
 
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  # English Verdict Classifier
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+ This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on 1,500 deduplicated verdicts from [Google Fact Check Tools API](https://developers.google.com/fact-check/tools/api/reference/rest/v1alpha1/claims/search), translated into English with the [Google Cloud Translation API](https://cloud.google.com/translate/docs/reference/rest/).
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+ It achieves the following results on the evaluation set, being 1,000 such verdicts translated into English, but here including duplicates to represent the true distribution:
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  - Loss: 0.1258
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  - F1 Macro: 0.8408
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  - F1 Misinformation: 0.9751