Update README.md

README.md

@@ -9,6 +9,7 @@ tags:
 datasets:
 - openslr
 - SLR53
+- Harveenchadha/indic-text
 metrics:
 - wer
 - cer
@@ -29,13 +30,26 @@ model-index:
       - type: cer
         value: 0.07263099973420006
         name: Test CER
+      - type: wer    # Required. Example: wer
+        value: 0.17776164652632478  # Required. Example: 20.90
+        name: Test WER with lm   # Optional. Example: Test WER
+      - type: cer
+        value: 0.04394092712884769
+        name: Test CER with lm
 ---
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the OPENSLR_SLR53 - bengali dataset.
-It achieves the following results on the evaluation set:
+It achieves the following results on the evaluation set. 
+
+Without language model : 
 - Wer: 0.3110
 - Cer : 0.072
 
+With 5 gram language model trained on [indic-text](https://huggingface.co/datasets/Harveenchadha/indic-text/tree/main) dataset : 
+- Wer: 0.17776
+- Cer : 0.04394
+  
+
 Note : 10% of a total 218703 samples have been used for evaluation. Evaluation set has 21871 examples. Training was stopped after 30k steps. Output predictions are available under files section.
 
 ### Training hyperparameters