Librarian Bot: Add base_model information to model

README.md

@@ -11,76 +11,61 @@ tags:
 - zh-HK
 datasets:
 - mozilla-foundation/common_voice_8_0
+base_model: facebook/wav2vec2-xls-r-300m
 model-index:
 - name: XLS-R-300M - Chinese_HongKong (Cantonese)
   results:
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: Common Voice 8
       type: mozilla-foundation/common_voice_8_0
       args: zh-hk
     metrics:
-    - name: Test WER
-      type: wer
+    - type: wer
       value: 0.8111349803079126
-    - name: Test CER
-      type: cer
+      name: Test WER
+    - type: cer
       value: 0.21962250882996914
+      name: Test CER
+    - type: wer
+      value: 0.8055853920515574
+      name: Test WER with LM
+    - type: cer
+      value: 0.21578686612008757
+      name: Test CER with 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: zh-hk
     metrics:
-    - name: Test WER
-      type: wer
+    - type: wer
       value: 1.0
-    - name: Test CER
-      type: cer
+      name: Test WER
+    - type: cer
       value: 0.6160564326503191
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 8
-      type: mozilla-foundation/common_voice_8_0
-      args: zh-HK
-    metrics:
-    - name: Test WER with LM
-      type: wer
-      value: 0.8055853920515574
-    - name: Test CER with LM
-      type: cer
-      value: 0.21578686612008757
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Robust Speech Event - Dev Data
-      type: speech-recognition-community-v2/dev_data
-      args: zh-HK
-    metrics:
-    - name: Test WER with LM
-      type: wer
+      name: Test CER
+    - type: wer
       value: 1.0012453300124533
-    - name: Test CER with LM
-      type: cer
+      name: Test WER with LM
+    - type: cer
       value: 0.6153006382264025
+      name: Test CER with LM
   - task:
-      name: Automatic Speech Recognition
       type: automatic-speech-recognition
+      name: Automatic Speech Recognition
     dataset:
       name: Robust Speech Event - Test Data
       type: speech-recognition-community-v2/eval_data
       args: zh-HK
     metrics:
-    - name: Test CER
-      type: cer
+    - type: cer
       value: 61.55
+      name: Test CER
 ---
 
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