Model save

README.md

@@ -1,26 +1,24 @@
 ---
-language:
-- ar
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_16_1
+- common_voice_16_1
 metrics:
 - wer
 model-index:
-- name: Whisper Small AR v.2
+- name: whisper-small-ar-v2
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: Common Voice 16.1
-      type: mozilla-foundation/common_voice_16_1
+      name: common_voice_16_1
+      type: common_voice_16_1
       config: ar
       split: test
-      args: 'config: ar, split: test'
+      args: ar
     metrics:
     - name: Wer
       type: wer
@@ -30,9 +28,9 @@ 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 Small AR v.2
+# whisper-small-ar-v2
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 16.1 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the common_voice_16_1 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.4007
 - Wer: 47.7264