update model card README.md

README.md

@@ -1,6 +1,8 @@
 ---
 license: apache-2.0
 tags:
+- automatic-speech-recognition
+- google/fleurs
 - generated_from_trainer
 datasets:
 - fleurs
@@ -13,15 +15,15 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: fleurs
+      name: GOOGLE/FLEURS - PS_AF
       type: fleurs
       config: ps_af
       split: test
-      args: ps_af
+      args: 'Config: ps_af, Training split: train+validation, Eval split: test'
     metrics:
     - name: Wer
       type: wer
-      value: 0.5138130968622101
+      value: 0.5156036834924966
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,11 +31,11 @@ should probably proofread and complete it, then remove this comment. -->
 
 # facebook/wav2vec2-xls-r-300m
 
-This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the fleurs dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-xls-r-300m](https://huggingface.co/facebook/wav2vec2-xls-r-300m) on the GOOGLE/FLEURS - PS_AF dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.9370
-- Wer: 0.5138
-- Cer: 0.1974
+- Loss: 0.9162
+- Wer: 0.5156
+- Cer: 0.1969
 
 ## Model description