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- This model uses distilroberta-base pretrained weights, with a classification head fine-tuned to classify news articles into 3 categories (bad, medium, good).
 
 
 
 
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- The dataset used to fine-tune the model is news-small, the 300 article news dataset manually annotated by Alex.
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language: en
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+ datasets:
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+ - valurank/news-small
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+ ---
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+ # DistilROBERTA fine-tuned for news classification
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+ This model is based on [distilroberta-base](https://huggingface.co/distilroberta-base) pretrained weights, with a classification head fine-tuned to classify news articles into 3 categories (bad, medium, good).
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+ ## Training data
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+ The dataset used to fine-tune the model is [news-small](https://huggingface.co/datasets/valurank/news-12factor), the 300 article news dataset manually annotated by Alex.
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+ ## Inputs
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+ Similar to its base model, this model accepts inputs with a maximum length of 512 tokens.