End of training

README.md

@@ -1,24 +1,27 @@
 ---
+language:
+- ar
 license: apache-2.0
 base_model: openai/whisper-medium
 tags:
+- ar-asr-leaderboard
 - generated_from_trainer
 datasets:
-- audiofolder
+- mozilla-foundation/common_voice_16_1
 metrics:
 - wer
 model-index:
-- name: whisper-medium-ft-custom
+- name: Whisper Medium Ar - AxAI
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: audiofolder
-      type: audiofolder
+      name: Common Voice 16.1
+      type: mozilla-foundation/common_voice_16_1
       config: default
       split: None
-      args: default
+      args: 'config: ar, split: test[:10%]'
     metrics:
     - name: Wer
       type: wer
@@ -28,9 +31,9 @@ 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-medium-ft-custom
+# Whisper Medium Ar - AxAI
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the audiofolder dataset.
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Common Voice 16.1 dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.4298
 - Wer: 100.0