update model card README.md

README.md

@@ -1,20 +1,37 @@
 ---
+language:
+- da
 license: apache-2.0
 tags:
+- whisper-event
 - generated_from_trainer
+datasets:
+- mozilla-foundation/common_voice_11_0,google/fleurs
 metrics:
 - wer
 model-index:
-- name: openai/whisper-medium
-  results: []
+- name: Whisper Medium Danish (CV11 + FLEAURS)
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: mozilla-foundation/common_voice_11_0,google/fleurs da,da_dk
+      type: mozilla-foundation/common_voice_11_0,google/fleurs
+      config: null
+      split: None
+    metrics:
+    - name: Wer
+      type: wer
+      value: 13.708574434508153
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# openai/whisper-medium
+# Whisper Medium Danish (CV11 + FLEAURS)
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the None dataset.
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the mozilla-foundation/common_voice_11_0,google/fleurs da,da_dk dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5814
 - Wer: 13.7086