Update README.md

README.md

@@ -1,12 +1,33 @@
 ---
+language:
+- myv
 license: apache-2.0
 tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_8_0
 - generated_from_trainer
+- myv
+- robust-speech-event
+- model_for_talk
 datasets:
 - common_voice
 model-index:
 - name: wav2vec2-large-xls-r-300m-myv-v1
-  results: []
+  results:
+  - task: 
+      name: Automatic Speech Recognition 
+      type: automatic-speech-recognition
+    dataset:
+      name: Common Voice 8
+      type: mozilla-foundation/common_voice_8_0
+      args: myv
+    metrics:
+       - name: Test WER
+         type: wer
+         value: 0.599548532731377
+       - name: Test CER
+         type: cer
+         value: 0.12953851902597
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -14,7 +35,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-large-xls-r-300m-myv-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 - MYV dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.8537
 - Wer: 0.6160