End of training

README.md

@@ -1,37 +1,21 @@
 ---
-language:
-- hi
 license: apache-2.0
 base_model: openai/whisper-large-v3
 tags:
-- hf-asr-leaderboard
 - generated_from_trainer
-datasets:
-- shields/whisper-small-hindi
 metrics:
 - wer
 model-index:
-- name: Whisper_hindi
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: shields/whisper-small-hindi
-      type: shields/whisper-small-hindi
-      args: 'split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 52.17391304347826
+- name: whisper-hi-1
+  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_hindi
+# whisper-hi-1
 
-This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on the shields/whisper-small-hindi dataset.
+This model is a fine-tuned version of [openai/whisper-large-v3](https://huggingface.co/openai/whisper-large-v3) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.7841
 - Wer: 52.1739