update model card README.md

README.md

@@ -1,6 +1,8 @@
 ---
 license: apache-2.0
 tags:
+- automatic-speech-recognition
+- techiaith/banc-trawsgrifiadau-bangor
 - generated_from_trainer
 datasets:
 - banc-trawsgrifiadau-bangor
@@ -13,15 +15,15 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: banc-trawsgrifiadau-bangor
+      name: TECHIAITH/BANC-TRAWSGRIFIADAU-BANGOR - NA
       type: banc-trawsgrifiadau-bangor
       config: default
       split: test
-      args: default
+      args: 'Config: na, Training split: train, Eval split: test'
     metrics:
     - name: Wer
       type: wer
-      value: 0.3264155718657249
+      value: 0.3262315072590479
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -29,10 +31,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # wav2vec2-xlsr-ft-btb
 
-This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the banc-trawsgrifiadau-bangor dataset.
+This model is a fine-tuned version of [facebook/wav2vec2-large-xlsr-53](https://huggingface.co/facebook/wav2vec2-large-xlsr-53) on the TECHIAITH/BANC-TRAWSGRIFIADAU-BANGOR - NA dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4358
-- Wer: 0.3264
+- Loss: 0.4357
+- Wer: 0.3262
 
 ## Model description