add eval script

.ipynb_checkpoints/README-checkpoint.md

@@ -13,20 +13,20 @@ datasets:
 model-index:
 - name: wav2vec2-xls-r-300m-ar
   results:
-    - task: 
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Robust Speech Event - Dev Data
-      type: speech-recognition-community-v2/dev_data
-      args: ar
-    metrics:
-       - name: Test WER
-         type: wer
-         value: 1.0
-       - name: Test CER
-         type: cer
-         value: 1.0
+  - task: 
+  name: Automatic Speech Recognition
+  type: automatic-speech-recognition
+  dataset:
+  name: Robust Speech Event - Dev Data
+  type: speech-recognition-community-v2/dev_data
+  args: ar
+  metrics:
+  - name: Test WER
+      type: wer
+      value: 1.0
+  - name: Test CER
+      type: cer
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You

README.md

@@ -13,20 +13,20 @@ datasets:
 model-index:
 - name: wav2vec2-xls-r-300m-ar
   results:
-    - task: 
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Robust Speech Event - Dev Data
-      type: speech-recognition-community-v2/dev_data
-      args: ar
-    metrics:
-       - name: Test WER
-         type: wer
-         value: 1.0
-       - name: Test CER
-         type: cer
-         value: 1.0
+  - task: 
+  name: Automatic Speech Recognition
+  type: automatic-speech-recognition
+  dataset:
+  name: Robust Speech Event - Dev Data
+  type: speech-recognition-community-v2/dev_data
+  args: ar
+  metrics:
+  - name: Test WER
+      type: wer
+      value: 1.0
+  - name: Test CER
+      type: cer
+      value: 1.0
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You