End of training

README.md

@@ -1,13 +1,29 @@
 ---
+language:
+- ko
 license: apache-2.0
 base_model: openai/whisper-medium
 tags:
+- hf-asr-leaderboard
 - generated_from_trainer
+datasets:
+- Marcusxx/chungnamFireStation3Kfiles
 metrics:
 - wer
 model-index:
 - name: chungnam_firestation3Kfiles_WER_model
-  results: []
+  results:
+  - task:
+      name: Automatic Speech Recognition
+      type: automatic-speech-recognition
+    dataset:
+      name: Marcusxx/chungnamFireStation3Kfiles
+      type: Marcusxx/chungnamFireStation3Kfiles
+      args: 'config: ko, split: valid'
+    metrics:
+    - name: Wer
+      type: wer
+      value: 54.347826086956516
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -15,7 +31,7 @@ should probably proofread and complete it, then remove this comment. -->
 
 # chungnam_firestation3Kfiles_WER_model
 
-This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on an unknown dataset.
+This model is a fine-tuned version of [openai/whisper-medium](https://huggingface.co/openai/whisper-medium) on the Marcusxx/chungnamFireStation3Kfiles dataset.
 It achieves the following results on the evaluation set:
 - Loss: 1.2164
 - Wer: 54.3478