Model save

README.md

@@ -1,28 +1,25 @@
 ---
 library_name: transformers
-language:
-- ar
 license: mit
 base_model: openai/whisper-large-v3-turbo
 tags:
-- hf-asr-leaderboard
 - generated_from_trainer
 datasets:
-- Samioman/common_voice_17_0
+- common_voice_17_0
 metrics:
 - wer
 model-index:
-- name: whisper-large-v3-turbo - Arabic - Sami Abdullah
+- name: whisper-large-v3-turbo-ar
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
       name: common_voice_17_0
-      type: Samioman/common_voice_17_0
+      type: common_voice_17_0
       config: ar
       split: None
-      args: 'config: ar, split: test'
+      args: ar
     metrics:
     - name: Wer
       type: wer
@@ -32,7 +29,7 @@ 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. -->
 
-# whisper-large-v3-turbo - Arabic - Sami Abdullah
+# whisper-large-v3-turbo-ar
 
 This model is a fine-tuned version of [openai/whisper-large-v3-turbo](https://huggingface.co/openai/whisper-large-v3-turbo) on the common_voice_17_0 dataset.
 It achieves the following results on the evaluation set: