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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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- # summarise_v10
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-
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- This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the None dataset.
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  It achieves the following results on the evaluation set:
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  - Loss: 1.9680
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  - Rouge1 Precision: 0.4404
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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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-
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- ## Training procedure
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  ### Training hyperparameters
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  results: []
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  ---
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+ ![SGH logo.png](https://s3.amazonaws.com/moonup/production/uploads/1667143139655-631feef1124782a19eff4243.png)
 
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+ This model is a fine-tuned version of [allenai/led-base-16384](https://huggingface.co/allenai/led-base-16384) on the SGH news articles and summaries dataset.
 
 
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  It achieves the following results on the evaluation set:
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  - Loss: 1.9680
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  - Rouge1 Precision: 0.4404
 
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  ## Model description
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+ This model was created to generate summaries of news articles.
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  ## Intended uses & limitations
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+ The model takes up to maximum article length of 3072 tokens and generates a summary of maximum length of 512 tokens, and minimum length of 100 tokens.
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  ## Training and evaluation data
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+ This model was trained on 100+ articles and summaries from SGH.
 
 
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  ### Training hyperparameters
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