Update README.md

README.md

@@ -7,6 +7,7 @@ datasets:
 - thennal/IMaSC
 - vrclc/openslr63
 - thennal/indic_tts_ml
+- kavyamanohar/ml-sentences
 model-index:
 - name: XLSR-WithLM-Malayalam
   results:
@@ -49,15 +50,16 @@ model-index:
     - type: wer
       value: 52.9
       name: WER
-
 ---
-# XLSR-LM-NewData
+# XLSR-WithLM-Malayalam
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the [IMASC](https://huggingface.co/datasets/thennal/IMaSC), [Indic TTS Malayalam](https://huggingface.co/datasets/thennal/indic_tts_ml), [OpenSLR Malayalam Train split](https://huggingface.co/datasets/vrclc/openslr63) datasets.
 It achieves the following results on the evaluation set:
 - Loss: 0.1395
 - Wer: 0.2952
 
+Trigram Language Model Trained using KENLM Library on [kavyamanohar/ml-sentences](https://huggingface.co/datasets/kavyamanohar/ml-sentences) dataset
+
 
 ### Training hyperparameters
 
@@ -93,4 +95,4 @@ The following hyperparameters were used during training:
 - Transformers 4.42.4
 - Pytorch 2.3.1+cu121
 - Datasets 2.20.0
-- Tokenizers 0.19.1
+- Tokenizers 0.19.1