End of training

README.md

@@ -1,37 +1,21 @@
 ---
-language:
-- en
 license: apache-2.0
 base_model: openai/whisper-small
 tags:
-- hf-asr-leaderboard
 - generated_from_trainer
-datasets:
-- rashmi035/dataset_whisper
 metrics:
 - wer
 model-index:
-- name: Whisper Small - devansh
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Common Voice 11.0
-      type: rashmi035/dataset_whisper
-      args: 'config: hi, split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 7.614213197969544
+- name: whisper-small-hi-2
+  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 Small - devansh
+# whisper-small-hi-2
 
-This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Common Voice 11.0 dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.2909
 - Wer: 7.6142