Librarian Bot: Add base_model information to model

README.md

@@ -1,8 +1,7 @@
 ---
-license: apache-2.0
 language: fr
+license: apache-2.0
 library_name: transformers
-thumbnail: null
 tags:
 - automatic-speech-recognition
 - hf-asr-leaderboard
@@ -17,93 +16,94 @@ datasets:
 - gigant/african_accented_french
 metrics:
 - wer
+base_model: LeBenchmark/wav2vec2-FR-7K-large
 model-index:
 - name: Fine-tuned wav2vec2-FR-7K-large model for ASR in French
   results:
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: Common Voice 11.0
       type: mozilla-foundation/common_voice_11_0
       args: fr
     metrics:
-    - name: Test WER
-      type: wer
+    - type: wer
       value: 11.44
-    - name: Test WER (+LM)
-      type: wer
+      name: Test WER
+    - type: wer
       value: 9.66
+      name: Test WER (+LM)
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: Multilingual LibriSpeech (MLS)
       type: facebook/multilingual_librispeech
       args: french
     metrics:
-    - name: Test WER
-      type: wer
+    - type: wer
       value: 5.93
-    - name: Test WER (+LM)
-      type: wer
+      name: Test WER
+    - type: wer
       value: 5.13
+      name: Test WER (+LM)
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: VoxPopuli
       type: facebook/voxpopuli
       args: fr
     metrics:
-    - name: Test WER
-      type: wer
+    - type: wer
       value: 9.33
-    - name: Test WER (+LM)
-      type: wer
+      name: Test WER
+    - type: wer
       value: 8.51
+      name: Test WER (+LM)
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: African Accented French
       type: gigant/african_accented_french
       args: fr
     metrics:
-    - name: Test WER
-      type: wer
+    - type: wer
       value: 16.22
-    - name: Test WER (+LM)
-      type: wer
+      name: Test WER
+    - type: wer
       value: 15.39
+      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: 16.56
-    - name: Test WER (+LM)
-      type: wer
+      name: Test WER
+    - type: wer
       value: 12.96
+      name: Test WER (+LM)
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: Fleurs
       type: google/fleurs
       args: fr_fr
     metrics:
-    - name: Test WER
-      type: wer
-      value: 10.10
-    - name: Test WER (+LM)
-      type: wer
+    - type: wer
+      value: 10.1
+      name: Test WER
+    - type: wer
       value: 8.84
+      name: Test WER (+LM)
 ---
 
 # Fine-tuned wav2vec2-FR-7K-large model for ASR in French