This model is trained as a part of **InterIIT'21 competition**, on the dataset provided by Bridgei2i. It is able to do multilingual (Hindi, English, Hinglish) summarization (many -> one) & is capable of generating summaries in English regardless of the input language.

| Rouge-L               | Sacrebleu | Headline Similarity (using sentence-transformers) |
|-----------------------|-----------|---------------------------------------------------|
| p=0.46 r=0.49 f1=0.52 | 23.46     | 0.75                                              |

mBART is initialized from **facebook/mbart-large-cc25** and is trained as per strategy mentioned in our [GitHub](https://github.com/vasudevgupta7/Bridgei2i-Winning-Solutions).
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transformers pytorch mbart text2text-generation autotrain_compatible endpoints_compatible region:us
TAGS
#transformers #pytorch #mbart #text2text-generation #autotrain_compatible #endpoints_compatible #region-us 

This model is trained as a part of InterIIT'21 competition, on the dataset provided by Bridgei2i. It is able to do multilingual (Hindi, English, Hinglish) summarization (many -> one) & is capable of generating summaries in English regardless of the input language.


Rouge-L: p=0.46 r=0.49 f1=0.52, Sacrebleu: 23.46, Headline Similarity (using sentence-transformers): 0.75


mBART is initialized from facebook/mbart-large-cc25 and is trained as per strategy mentioned in our GitHub.



TAGS
#transformers #pytorch #mbart #text2text-generation #autotrain_compatible #endpoints_compatible #region-us 

passage: TAGS
#transformers #pytorch #mbart #text2text-generation #autotrain_compatible #endpoints_compatible #region-us 
