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  ---
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  license: mit
 
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  tags:
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  - generated_from_trainer
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  model-index:
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- - name: verdict-classifier-trinary
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- results: []
 
 
 
 
 
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  ---
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- <!-- This model card has been generated automatically according to the information the Trainer had access to. You
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- should probably proofread and complete it, then remove this comment. -->
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- # verdict-classifier-trinary
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-
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- This model is a fine-tuned version of [roberta-base](https://huggingface.co/roberta-base) on the None dataset.
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- It achieves the following results on the evaluation set:
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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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  - Prec Factual: 1.0
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  - Prec Other: 0.5152
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- ## Model description
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-
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- More information needed
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-
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- ## Intended uses & limitations
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-
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- More information needed
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-
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- ## Training and evaluation data
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-
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- More information needed
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-
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  ## Training procedure
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  ### Training hyperparameters
 
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  ---
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  license: mit
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+ language: en
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  tags:
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  - generated_from_trainer
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  model-index:
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+ - name: verdict-classifier-en
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+ results:
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+ - task:
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+ type: text-classification
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+ name: Verdict Classification
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+ widget:
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+ - "One might think that this is true, but it's incredibly misleading."
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  ---
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+ # verdict-classifier-en
 
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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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  - Prec Factual: 1.0
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  - Prec Other: 0.5152
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  ## Training procedure
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  ### Training hyperparameters