Update README.md

README.md

@@ -15,12 +15,12 @@ model-index:
     dataset:
       name: vin100h
       type: vin
-      config: None
-      split: None
+      config: Cleaned
+      split: Train 0.8 , Test 0.2
     metrics:
     - name: Wer
       type: wer
-      value: 21.8855
+      value: 21.68
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -28,19 +28,19 @@ should probably proofread and complete it, then remove this comment. -->
 
 # vi_whisper-medium
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Vin100h dataset.
+This model is a one shot fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Vin100h dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2894 
 - Wer: 21.68 on whisper-quantized model by CTranslate2
 - 
 
 
-## Model description
+# Model description
 
-To use quantized model , firsly , read the doc of how to use CTranslate2 converter and Faster Whisper repo in here 
+To use quantized model , firsly , read the doc of how to use CTranslate2 converter and Faster Whisper repo in here:
+- [CTranslate2](https://github.com/OpenNMT/CTranslate2.git)
+- [Faster-Whipser](https://github.com/guillaumekln/faster-whisper)
 
-[CTranslate2](https://github.com/OpenNMT/CTranslate2.git) 
-[Faster-Whipser](https://github.com/guillaumekln/faster-whisper)
 
 ## Intended uses & limitations