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README.md
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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-
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results:
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---
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should probably proofread and complete it, then remove this comment. -->
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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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More information needed
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## Intended uses & limitations
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More information needed
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## Training and evaluation data
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More information needed
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## Training procedure
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### Training hyperparameters
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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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# 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
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