update model card README.md

README.md

@@ -1,38 +1,20 @@
 ---
-language:
-- ta
 license: apache-2.0
 tags:
-- hf-asr-leaderboard
 - generated_from_trainer
-datasets:
-- mozilla-foundation/common_voice_11_0
 metrics:
 - wer
 model-index:
-- name: Whisper Tiny ta - Rahul G
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 11.0
-      type: mozilla-foundation/common_voice_11_0
-      config: null
-      split: None
-      args: 'config: ta, split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 31.08958837772397
+- name: whisper-tiny-v2-ta_50
+  results: []
 ---
 
 <!-- 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 Tiny ta - Rahul G
+# whisper-tiny-v2-ta_50
 
-This model is a fine-tuned version of [openai/whisper-Tiny](https://huggingface.co/openai/whisper-Tiny) on the Common Voice 11.0 dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the None dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2683
 - Wer: 31.0896