Update README.md

README.md

@@ -7,7 +7,19 @@ metrics:
 - wer
 model-index:
 - name: vi_whisper-small
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Vivos + Commonvoice
+      type: vivos
+      config: None
+      split: None
+    metrics:
+    - name: Wer
+      type: wer
+      value: 21.8855
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,8 +29,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3187
-- Wer: 27.3634
+- Loss: 0.2894 
+- Wer: 21.8855
 
 ## Model description
 
@@ -30,7 +42,8 @@ More information needed
 
 ## Training and evaluation data
 
-More information needed
+In training phase i used VIVOS dataset and cleaned CommonVoice 
+The VIVOS evaluation dataset was used
 
 ## Training procedure