Updated XLMR docs (#1497)

Author: Nayef211

torchtext/models/roberta/bundler.py

@@ -168,6 +168,15 @@ def encoderConf(self) -> RobertaEncoderConf:
     '''
     XLM-R Encoder with Base configuration
 
+    The XLM-RoBERTa model was proposed in `Unsupervised Cross-lingual Representation Learning
+    at Scale <https://arxiv.org/abs/1911.02116>`. It is a large multi-lingual language model,
+    trained on 2.5TB of filtered CommonCrawl data and based on the RoBERTa model architecture.
+
+    Originally published by the authors of XLM-RoBERTa under MIT License
+    and redistributed with the same license.
+    [`License <https://github.com/pytorch/fairseq/blob/main/LICENSE>`__,
+    `Source <https://github.com/pytorch/fairseq/tree/main/examples/xlmr#pre-trained-models>`__]
+
     Please refer to :func:`torchtext.models.RobertaModelBundle` for the usage.
     '''
 )
@@ -189,6 +198,15 @@ def encoderConf(self) -> RobertaEncoderConf:
     '''
     XLM-R Encoder with Large configuration
 
+    The XLM-RoBERTa model was proposed in `Unsupervised Cross-lingual Representation Learning
+    at Scale <https://arxiv.org/abs/1911.02116>`. It is a large multi-lingual language model,
+    trained on 2.5TB of filtered CommonCrawl data and based on the RoBERTa model architecture.
+
+    Originally published by the authors of XLM-RoBERTa under MIT License
+    and redistributed with the same license.
+    [`License <https://github.com/pytorch/fairseq/blob/main/LICENSE>`__,
+    `Source <https://github.com/pytorch/fairseq/tree/main/examples/xlmr#pre-trained-models>`__]
+
     Please refer to :func:`torchtext.models.RobertaModelBundle` for the usage.
     '''
 )