update model card README.md

README.md

@@ -1,6 +1,10 @@
 ---
+language:
+- it
 license: apache-2.0
 tags:
+- automatic-speech-recognition
+- common_voice
 - generated_from_trainer
 datasets:
 - common_voice
@@ -13,15 +17,15 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice
+      name: COMMON_VOICE - IT
       type: common_voice
       config: it
       split: test[80%:]
-      args: it
+      args: 'Config: it, Training split: train[85%:], Eval split: test[80%:]'
     metrics:
     - name: Wer
       type: wer
-      value: 0.23695395513577333
+      value: 0.23675718221172767
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +33,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-common_voice-it-demo
 
-This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the common_voice dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the COMMON_VOICE - IT dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3488
-- Wer: 0.2370
+- Loss: 0.3484
+- Wer: 0.2368
 
 ## Model description