metadata
datasets:
- abisee/cnn_dailymail
language:
- en
metrics:
- rouge
base_model:
- google/flan-t5-base
pipeline_tag: summarization
Model Card for Model ID
Flan T5 base model finetuned on the CNNDailyMail dataset .
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.
- 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]
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