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README.md
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results: []
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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 [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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## Intended uses & limitations
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## Training and evaluation data
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## Training procedure
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### Training hyperparameters
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results: []
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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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