Update README.md

README.md

@@ -6,7 +6,24 @@ metrics:
 - wer
 model-index:
 - name: whisper-large-v2-Ko
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Bingsu/zeroth-korean
+      type: Bingsu/zeroth-korean
+      split: test
+    metrics:
+    - name: Wer
+      type: wer
+      value: 2.9
+datasets:
+- Bingsu/zeroth-korean
+language:
+- ko
+library_name: transformers
+pipeline_tag: automatic-speech-recognition
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -17,7 +34,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0617
-- Wer: 0.0290
+- Wer: 2.9
 
 ## Model description
 
@@ -66,4 +83,4 @@ The following hyperparameters were used during training:
 - Transformers 4.27.0.dev0
 - Pytorch 1.12.1+cu113
 - Datasets 2.10.1
-- Tokenizers 0.13.2
+- Tokenizers 0.13.2