Update README.md

README.md

@@ -8,54 +8,31 @@ metrics:
 - bertscore
 pipeline_tag: summarization
 ---
-# Model Card for Model ID
-
 ### Summarization Model (Type:T5)
 
 Summarization: Extractive and Abstractive
 - urT5 adapted from mT5 having monolingual vocabulary only; 40k tokens of Urdu.
   - Fine-tuned on https://huggingface.co/mbshr/XSUMUrdu-DW_BBC, ref to https://doi.org/10.48550/arXiv.2310.02790 for details.
 
-
-## Model Details
-
 ### Model Description
 
 <!-- Provide a longer summary of what this model is. -->
-
-
-
-- **Developed by:** [More Information Needed]
-- **Shared by [optional]:** [More Information Needed]
 - **Model type:** urT5 adapted version of mT5
 - **Language(s) (NLP):** Urdu
-- **License:** [More Information Needed]
-- **Finetuned from model [optional]:** google/mt5-base
+- **Finetuned from model:** google/mt5-base
 
-### Model Sources [optional]
+### Model Sources
 
 <!-- Provide the basic links for the model. -->
-
 - **Repository:** [More Information Needed]
-- **Paper [optional]:** https://doi.org/10.48550/arXiv.2310.02790
+- **Paper:** https://doi.org/10.48550/arXiv.2310.02790
 
 ## Uses
 
 Summarization
-
-## How to Get Started with the Model
-
-Use the code below to get started with the model.
-
-[More Information Needed]
-
-## Training Details
-
-
 ## Evaluation & Results
 
 <!-- This section describes the evaluation protocols and provides the results. -->
-
 Evaluated on https://huggingface.co/mbshr/XSUMUrdu-DW_BBC
 - ROUGE-1 F Score: 40.03 combined, 46.35 BBC Urdu datapoints only and 36.91 DW Urdu datapoints only)
 - BERTScore: 75.1 combined, 77.0 BBC Urdu datapoints only and 74.16 DW Urdu datapoints only
@@ -63,15 +40,7 @@ Evaluated on https://huggingface.co/mbshr/XSUMUrdu-DW_BBC
 ## Citation [optional]
 
 <!-- If there is a paper or blog post introducing the model, the APA and Bibtex information for that should go in this section. -->
-
-@misc{munaf2023low,
-    title={Low Resource Summarization using Pre-trained Language Models},
-    author={Mubashir Munaf and Hammad Afzal and Naima Iltaf and Khawir Mahmood},
-    year={2023},
-    eprint={2310.02790},
-    archivePrefix={arXiv},
-    primaryClass={cs.CL}
-}
+https://doi.org/10.48550/arXiv.2310.02790
 
 ## Contact