Model save

README.md

@@ -1,37 +1,22 @@
 ---
 library_name: transformers
-language:
-- ko
 license: apache-2.0
 base_model: openai/whisper-tiny
 tags:
 - generated_from_trainer
-datasets:
-- ernistts/emergency_voice_transcripted_02
 metrics:
 - wer
 model-index:
-- name: Whisper Base Ko - Ernist
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: Korean Emergency Voice
-      type: ernistts/emergency_voice_transcripted_02
-      args: 'config: ko, split: test'
-    metrics:
-    - name: Wer
-      type: wer
-      value: 5.132905591200734
+- name: emergency_09_tiny
+  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 Base Ko - Ernist
+# emergency_09_tiny
 
-This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on the Korean Emergency Voice dataset.
+This model is a fine-tuned version of [openai/whisper-tiny](https://huggingface.co/openai/whisper-tiny) on an unknown dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.0711
 - Wer: 5.1329