updt evaluation

README.md

@@ -11,7 +11,7 @@ tags:
 datasets:
 - mozilla-foundation/common_voice_9_0
 model-index:
-- name: wav2vec2-xls-r-1b-ft
+- name: wav2vec2-xls-r-1b-ft-cv9-fr
   results:
   - task:
       name: Automatic Speech Recognition
@@ -33,12 +33,32 @@ model-index:
     - name: Test CER (+LM)
       type: cer
       value: 3.41
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Robust Speech Event - Dev Data
+      type: speech-recognition-community-v2/dev_data
+      args: fr
+    metrics:
+    - name: Test WER
+      type: wer
+      value: 24.28
+    - name: Test CER
+      type: cer
+      value: 11.46
+    - name: Test WER (+LM)
+      type: wer
+      value: 20.85
+    - name: Test CER (+LM)
+      type: cer
+      value: 11.09
 ---
 
 <!-- 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-xls-r-1b-ft
+# wav2vec2-xls-r-1b-ft-cv9-fr
 
 This model is a fine-tuned version of [facebook/wav2vec2-xls-r-1b](https://huggingface.co/facebook/wav2vec2-xls-r-1b) on the MOZILLA-FOUNDATION/COMMON_VOICE_9_0 - FR dataset.
 It achieves the following results on the evaluation set: