update model card README.md

README.md

@@ -1,13 +1,14 @@
 ---
 license: apache-2.0
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
 - audiofolder
 metrics:
 - wer
 model-index:
-- name: whisper-large-sme
+- name: "Whisper Large S\xE1mi"
   results:
   - task:
       name: Automatic Speech Recognition
@@ -21,18 +22,18 @@ model-index:
     metrics:
     - name: Wer
       type: wer
-      value: 25.257142857142856
+      value: 24.914285714285715
 ---
 
 <!-- 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. -->
 
-# whisper-large-sme
+# Whisper Large Sámi
 
 This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.5975
-- Wer: 25.2571
+- Loss: 0.5559
+- Wer: 24.9143
 
 ## Model description