fixing model card (i used multiple datasets)

README.md

@@ -6,7 +6,8 @@ tags:
 - whisper-event
 - generated_from_trainer
 datasets:
-- mozilla-foundation/common_voice_11_0,google/fleurs
+- mozilla-foundation/common_voice_11_0
+- google/fleurs
 metrics:
 - wer
 model-index:
@@ -16,10 +17,11 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: mozilla-foundation/common_voice_11_0,google/fleurs uz,uz_uz
-      type: mozilla-foundation/common_voice_11_0,google/fleurs
-      config: null
-      split: None
+      name: mozilla-foundation/common_voice_11_0
+      type: mozilla-foundation/common_voice_11_0
+      config: uz
+      split: test
+      args: da
     metrics:
     - name: Wer
       type: wer
@@ -31,7 +33,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # Whisper Small Uzbek
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the mozilla-foundation/common_voice_11_0,google/fleurs uz,uz_uz dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) trained on the mozilla-foundation/common_voice_11_0 uz and google/fleurs uz_uz datasets, and evaluated on the mozilla-foundation/common_voice_11_0 uz dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.3872
 - Wer: 23.6509