update model card README.md

README.md

@@ -1,39 +1,42 @@
 ---
+language:
+- id
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
+- whisper-event
 - generated_from_trainer
 datasets:
-- common_voice_9_0
+- mozilla-foundation/common_voice_9_0
 metrics:
 - wer
 model-index:
-- name: cv9-special-batch8-small-concat-Fleur-Norm
+- name: Whisper Small Indonesian
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: common_voice_9_0
-      type: common_voice_9_0
+      name: mozilla-foundation/common_voice_9_0 id
+      type: mozilla-foundation/common_voice_9_0
       config: id
       split: test
       args: id
     metrics:
     - name: Wer
       type: wer
-      value: 12.003680699332874
+      value: 11.966873706004142
 ---
 
 <!-- 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. -->
 
-# cv9-special-batch8-small-concat-Fleur-Norm
+# Whisper Small Indonesian
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_9_0 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_9_0 id dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.2567
-- Wer: 12.0037
+- Loss: 0.2449
+- Wer: 11.9669
 
 ## Model description