Update README.md

README.md

@@ -15,30 +15,30 @@ model-index:
 - name: XLS-R-300M - Swedish
   results:
   - task: 
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 7
-      type: mozilla-foundation/common_voice_7_0
-      args: sv-SE
-    metrics:
-       - name: Test WER
-         type: wer
-         value: 18.85
-       - name: Test CER
-         type: cer
-         value: 6.6
-  - task: 
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 8
-      type: mozilla-foundation/common_voice_8_0
-      args: sv-SE
-    metrics:
-      - name: Test WER
-        type: wer
-        value: ???
+    name: Automatic Speech Recognition
+    type: automatic-speech-recognition
+  dataset:
+    name: Common Voice 8
+    type: mozilla-foundation/common_voice_8_0
+    args: sv-SE
+  metrics:
+    - name: Test WER
+      type: wer
+      value: 16.5
+- task: 
+    name: Automatic Speech Recognition
+    type: automatic-speech-recognition
+  dataset:
+    name: Common Voice 7
+    type: mozilla-foundation/common_voice_7_0
+    args: sv-SE
+  metrics:
+     - name: Test WER
+       type: wer
+       value: 18.85
+     - name: Test CER
+       type: cer
+       value: 6.6
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -81,7 +81,7 @@ The following hyperparameters were used during training:
 - mixed_precision_training: Native AMP
 
 ### Training results
-
+?
 | Training Loss | Epoch | Step  | Validation Loss | Wer    |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|
 | 3.3349        | 1.45  | 500   | 3.2858          | 1.0    |