Update README.md

README.md

@@ -17,12 +17,12 @@ model-index:
       args: ml
     metrics:
     - type: wer
-      value: 
+      value: null
       name: WER
   - task:
       type: automatic-speech-recognition
       name: Automatic Speech Recognition
-    dataset: 
+    dataset:
       name: Google Fleurs
       type: google/fleurs
       config: ml
@@ -30,12 +30,12 @@ model-index:
       args: ml
     metrics:
     - type: wer
-      value: 
+      value: null
       name: WER
   - task:
       type: automatic-speech-recognition
       name: Automatic Speech Recognition
-    dataset: 
+    dataset:
       name: Mozilla Common Voice
       type: mozilla-foundation/common_voice_16_1
       config: ml
@@ -43,7 +43,7 @@ model-index:
       args: ml
     metrics:
     - type: wer
-      value: 
+      value: null
       name: WER
 datasets:
 - vrclc/festvox-iiith-ml
@@ -51,6 +51,7 @@ datasets:
 - vrclc/imasc_slr
 - mozilla-foundation/common_voice_17_0
 - smcproject/MSC
+- kavyamanohar/ml-sentences
 language:
 - ml
 pipeline_tag: automatic-speech-recognition
@@ -67,6 +68,8 @@ It achieves the following results on the validation set : [OpenSLR-Test](https:/
 - Loss: 0.1722
 - Wer: 0.1299
 
+Trigram Language Model Trained using KENLM Library on [kavyamanohar/ml-sentences](https://huggingface.co/datasets/kavyamanohar/ml-sentences) dataset
+
 ## Model description
 
 More information needed