updated readme

README.md

@@ -7,6 +7,7 @@ tags:
 - generated_from_trainer
 datasets:
 - openslr
+- google/fleurs
 metrics:
 - wer
 model-index:
@@ -16,9 +17,9 @@ model-index:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: openslr
+      name: google/fleurs
       type: openslr
-      config: null
+      config: "te_in"
       split: None
     metrics:
     - name: Wer
@@ -31,7 +32,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # whisper-small-telugu-large-data
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the openslr and the google/fleurs datasets.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the google/fleurs dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.6348
 - Wer: 123.9771