update model card README.md

README.md

@@ -1,38 +1,39 @@
 ---
 license: apache-2.0
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- fleurs
+- google/fleurs
 metrics:
 - wer
 model-index:
-- name: openai/whisper-large-v2
+- name: Whisper Large V2 Hebrew
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: fleurs
-      type: fleurs
+      name: google/fleurs he_il
+      type: google/fleurs
       config: he_il
       split: test
       args: he_il
     metrics:
     - name: Wer
       type: wer
-      value: 30.891489669122958
+      value: 27.250397341424648
 ---
 
 <!-- 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. -->
 
-# openai/whisper-large-v2
+# Whisper Large V2 Hebrew
 
-This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the fleurs dataset.
+This model is a fine-tuned version of [openai/whisper-large-v2](https://huggingface.co/openai/whisper-large-v2) on the google/fleurs he_il dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.4945
-- Wer: 30.8915
+- Loss: 0.4106
+- Wer: 27.2504
 
 ## Model description