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