Update README.md

README.md

@@ -8,7 +8,7 @@ datasets:
 metrics:
 - wer
 model-index:
-- name: wav2vec2-base-mk
+- name: wav2vec2-xls-r-300m-mk 
   results:
   - task:
       name: Automatic Speech Recognition
@@ -28,9 +28,10 @@ model-index:
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
 should probably proofread and complete it, then remove this comment. -->
 
-# wav2vec2-base-mk
+# wav2vec2-xls-r-300m-mk
 
-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 Macedonian
+using the train and validation splits of the FLEURS dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1589
 - Wer: 0.1433