Update README.md

README.md

@@ -4,7 +4,7 @@ language:
 license: apache-2.0
 tags:
 - automatic-speech-recognition
-- mozilla-foundation/common_voice_7_0
+- mozilla-foundation/common_voice_8_0
 - generated_from_trainer
 - bas
 - robust-speech-event
@@ -12,7 +12,7 @@ tags:
 datasets:
 - common_voice
 model-index:
-- name: wav2vec2-large-xls-r-300m-bas-v1 
+- name: wav2vec2-large-xls-r-300m-bas-v1
   results:
   - task: 
       name: Automatic Speech Recognition 
@@ -20,10 +20,14 @@ model-index:
     dataset:
       name: Common Voice 8
       type: mozilla-foundation/common_voice_8_0
-      args: hi
-  - task: 
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
+      args: bas
+    metrics:
+       - name: Test WER
+         type: wer
+         value: 0.35664979291302346
+       - name: Test CER
+         type: cer
+         value: 0.11026576341844711
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -31,7 +35,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-large-xls-r-300m-bas-v1
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the common_voice dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the MOZILLA-FOUNDATION/COMMON_VOICE_8_0 - BAS dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.5997
 - Wer: 0.3870