update model card README.md

README.md

@@ -1,6 +1,10 @@
 ---
+language:
+- tr
 license: apache-2.0
 tags:
+- automatic-speech-recognition
+- mozilla-foundation/common_voice_11_0
 - generated_from_trainer
 datasets:
 - common_voice_11_0
@@ -13,15 +17,15 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_11_0
+      name: MOZILLA-FOUNDATION/COMMON_VOICE_11_0 - TR
       type: common_voice_11_0
       config: tr
       split: test
-      args: tr
+      args: 'Config: tr, Training split: train+validation, Eval split: test'
     metrics:
     - name: Wer
       type: wer
-      value: 0.28665152662124654
+      value: 0.2862633203284225
 ---
 
 <!-- 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-xls-r-300m-tr
 
-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_11_0 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_11_0 - TR dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.3184
-- Wer: 0.2867
+- Loss: 0.3179
+- Wer: 0.2863
 - Cer: 0.0681
 
 ## Model description