Update README.md

README.md

@@ -10,7 +10,20 @@ datasets:
 - google/fleurs
 model-index:
 - name: whisper-base-hy
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 11.0
+      type: mozilla-foundation/common_voice_11_0
+      config: hy-AM
+      split: test
+      args: hy-AM
+    metrics:
+    - name: Wer
+      type: wer
+      value: 19.986894
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -18,7 +31,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-base-hy
 
-This model is a fine-tuned version of [openai/whisper-base](https://huggingface.co/openai/whisper-base) on the Common Voice 11.0 dataset.
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the Common Voice 11.0 dataset.
 It achieves the following results on the evaluation set:
 - eval_loss: 0.1806
 - eval_wer: 19.9869