### 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 Description

<!-- Provide a longer summary of what this model is. -->
- **Model type:** urT5 adapted version of mT5
- **Language(s) (NLP):** Urdu
- **Finetuned from model:** google/mt5-base

### Model Sources

<!-- Provide the basic links for the model. -->
- **Repository:** [More Information Needed]
- **Paper:** https://doi.org/10.48550/arXiv.2310.02790

## Uses

Summarization
## 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

## 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. -->
https://doi.org/10.48550/arXiv.2310.02790

## Contact

- mubashir.munaaf@gmail.com



{"language": ["ur"], "datasets": ["mbshr/XSUMUrdu-DW_BBC"], "metrics": ["rouge", "bertscore"], "pipeline_tag": "summarization"}
transformers pytorch mt5 text2text-generation summarization ur dataset:mbshr/XSUMUrdu-DW_BBC autotrain_compatible endpoints_compatible text-generation-inference region:us
TAGS
#transformers #pytorch #mt5 #text2text-generation #summarization #ur #dataset-mbshr/XSUMUrdu-DW_BBC #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 

### Summarization Model (Type:T5)

Summarization: Extractive and Abstractive
- urT5 adapted from mT5 having monolingual vocabulary only; 40k tokens of Urdu.
  - Fine-tuned on URL ref to URL for details.

### Model Description


- Model type: urT5 adapted version of mT5
- Language(s) (NLP): Urdu
- Finetuned from model: google/mt5-base

### Model Sources


- Repository: 
- Paper: URL

## Uses

Summarization
## Evaluation & Results


Evaluated on URL
- 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

[optional]


URL

## Contact

- URL@URL



### Summarization Model (Type:T5)

Summarization: Extractive and Abstractive
- urT5 adapted from mT5 having monolingual vocabulary only; 40k tokens of Urdu.
  - Fine-tuned on URL ref to URL for details. ### Model Description


- Model type: urT5 adapted version of mT5
- Language(s) (NLP): Urdu
- Finetuned from model: google/mt5-base ### Model Sources


- Repository: 
- Paper: URL ## Uses

Summarization ## Evaluation & Results


Evaluated on URL
- 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

[optional]


URL ## Contact

- URL@URL
TAGS
#transformers #pytorch #mt5 #text2text-generation #summarization #ur #dataset-mbshr/XSUMUrdu-DW_BBC #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
 ### Summarization Model (Type:T5)

Summarization: Extractive and Abstractive
- urT5 adapted from mT5 having monolingual vocabulary only; 40k tokens of Urdu.
  - Fine-tuned on URL ref to URL for details. ### Model Description


- Model type: urT5 adapted version of mT5
- Language(s) (NLP): Urdu
- Finetuned from model: google/mt5-base ### Model Sources


- Repository: 
- Paper: URL ## Uses

Summarization ## Evaluation & Results


Evaluated on URL
- 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

[optional]


URL ## Contact

- URL@URL
passage: TAGS
#transformers #pytorch #mt5 #text2text-generation #summarization #ur #dataset-mbshr/XSUMUrdu-DW_BBC #autotrain_compatible #endpoints_compatible #text-generation-inference #region-us 
### Summarization Model (Type:T5)

Summarization: Extractive and Abstractive
- urT5 adapted from mT5 having monolingual vocabulary only; 40k tokens of Urdu.
  - Fine-tuned on URL ref to URL for details.### Model Description


- Model type: urT5 adapted version of mT5
- Language(s) (NLP): Urdu
- Finetuned from model: google/mt5-base### Model Sources


- Repository: 
- Paper: URL## Uses

Summarization## Evaluation & Results


Evaluated on URL
- 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

[optional]


URL## Contact

- URL@URL