---
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.
<!-- Provide a longer summary of what this model is. -->



- **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