updated stats

README.md

@@ -10,18 +10,29 @@ datasets:
 - common_voice
 model-index:
 - name: wav2vec2-large-xlsr-53-german-cv9
-  results: []
+  results:   
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 9
+      type: mozilla-foundation/common_voice_9_0
+      args: de
+    metrics:
+    - name: Test WER
+      type: wer
+      value: 9.480663281840769
+    - name: Test CER
+      type: cer
+      value: 2.273015898213336
 ---
 
-<!-- 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. -->
-
 # wav2vec2-large-xlsr-53-german-cv9
 
 This model is a fine-tuned version of [./facebook/wav2vec2-large-xlsr-53](https://huggingface.co/./facebook/wav2vec2-large-xlsr-53) on the MOZILLA-FOUNDATION/COMMON_VOICE_9_0 - DE dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.1093
-- Wer: 0.0909
+- CER: 2.273015898213336
+- Wer: 9.480663281840769
 
 ## Model description