Librarian Bot: Add base_model information to model

README.md

@@ -10,51 +10,52 @@ tags:
 - robust-speech-event
 datasets:
 - polinaeterna/voxpopuli
+base_model: facebook/wav2vec2-xls-r-1b
 model-index:
 - name: Fine-tuned Wav2Vec2 XLS-R 1B model for ASR in French
   results:
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: Voxpopuli
       type: polinaeterna/voxpopuli
       args: fr
     metrics:
-    - name: Test WER
-      type: wer
-      value: 11.70
-    - name: Test WER (+LM)
-      type: wer
+    - type: wer
+      value: 11.7
+      name: Test WER
+    - type: wer
       value: 10.01
+      name: Test WER (+LM)
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: Common Voice 9
       type: mozilla-foundation/common_voice_9_0
       args: fr
     metrics:
-    - name: Test WER
-      type: wer
+    - type: wer
       value: 45.74
-    - name: Test WER (+LM)
-      type: wer
+      name: Test WER
+    - type: wer
       value: 38.81
+      name: Test WER (+LM)
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: 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
+    - type: wer
       value: 27.86
-    - name: Test WER (+LM)
-      type: wer
+      name: Test WER
+    - type: wer
       value: 22.53
+      name: Test WER (+LM)
 ---