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--- |
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datasets: |
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- abisee/cnn_dailymail |
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language: |
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- en |
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metrics: |
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- rouge |
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base_model: |
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- google/flan-t5-base |
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pipeline_tag: summarization |
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--- |
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# Model Card for Model ID |
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## Flan T5 base model finetuned on the CNNDailyMail dataset . |
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### This is a part of my undergrad project 1 , the full version of the project can be found on https://huggingface.co/QuantumQuest where me and my friends have worked on a categorizer and UI as well. |
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<!-- Provide a longer summary of what this model is. --> |
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- **Developed by: Thadoe Hein** |
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- **Funded by Thadoe :** [I wish my school funded me, but they did not. ] |
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- **Model type:** [Flan T5] |
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- **Language(s) (NLP):** [Python, NLP ] |
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- **License:** [Feel free to use] |
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- **Finetuned from model [FLAN T5?]:** [More Information Needed] |
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## Bias, Risks, and Limitations |
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The model generate very short summary sentences. Approximately 3 original sentences will be summarized into one single concise sentence. |
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## How to Get Started with the Model |
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please go to this link for example code. https://huggingface.co/QuantumQuest |
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