README.md

---

language: gu
---


# Gujarati-XLM-R-Base


This model is finetuned over [XLM-RoBERTa](https://huggingface.co/xlm-roberta-base) (XLM-R) using its base variant with the Gujarati language using the [OSCAR](https://oscar-corpus.com/) monolingual dataset. We used the same masked language modelling (MLM) objective which was used for pretraining the XLM-R. As it is built over the pretrained XLM-R, we leveraged *Transfer Learning* by exploiting the knowledge from its parent model.

## Dataset
OSCAR corpus contains several diverse datasets for different languages. We followed the work of [CamemBERT](https://www.aclweb.org/anthology/2020.acl-main.645/) who reported better performance with this diverse dataset as compared to the other large homogenous datasets. 

## Preprocessing and Training Procedure
Please visit [this link](https://github.com/ashwanitanwar/nmt-transfer-learning-xlm-r#6-finetuning-xlm-r) for the detailed procedure.

## Usage
- This model can be used for further finetuning for different NLP tasks using the Gujarati language.
- It can be used to generate contextualised word representations for the Gujarati words.
- It can be used for domain adaptation.
- It can be used to predict the missing words from the Gujarati sentences.

## Demo
 ### Using the model to predict missing words
   ```

   from transformers import pipeline

   unmasker = pipeline('fill-mask', model='ashwani-tanwar/Gujarati-XLM-R-Base')

   pred_word = unmasker("અમદાવાદ એ ગુજરાતનું એક <mask> છે.")

   print(pred_word) 

   ```
   ```

  [{'sequence': '<s> અમદાવાદ એ ગુજરાતનું એક શહેર છે.</s>', 'score': 0.9463568329811096, 'token': 85227, 'token_str': '▁શહેર'}, 

  {'sequence': '<s> અમદાવાદ એ ગુજરાતનું એક ગામ છે.</s>', 'score': 0.013311690650880337, 'token': 66346, 'token_str': '▁ગામ'}, 

  {'sequence': '<s> અમદાવાદ એ ગુજરાતનું એકનગર છે.</s>', 'score': 0.012945962138473988, 'token': 69702, 'token_str': 'નગર'}, 

  {'sequence': '<s> અમદાવાદ એ ગુજરાતનું એક સ્થળ છે.</s>', 'score': 0.0045941537246108055, 'token': 135436, 'token_str': '▁સ્થળ'}, 

  {'sequence': '<s> અમદાવાદ એ ગુજરાતનું એક મહત્વ છે.</s>', 'score': 0.00402021361514926, 'token': 126763, 'token_str': '▁મહત્વ'}]

   ```
 ### Using the model to generate contextualised word representations
  ```

  from transformers import AutoTokenizer, AutoModel

  tokenizer = AutoTokenizer.from_pretrained("ashwani-tanwar/Gujarati-XLM-R-Base")

  model = AutoModel.from_pretrained("ashwani-tanwar/Gujarati-XLM-R-Base")

  sentence = "અમદાવાદ એ ગુજરાતનું એક શહેર છે."

  encoded_sentence = tokenizer(sentence, return_tensors='pt')

  context_word_rep = model(**encoded_sentence)

  ```