End of training

README.md

@@ -1,24 +1,26 @@
 ---
+language:
+- zh
 license: apache-2.0
-base_model: edmundchan70/Cantonese_finetune_whisper
+base_model: openai/whisper-small
 tags:
 - generated_from_trainer
 datasets:
-- audiofolder
+- edmundchan70/Cantonese_fine_tune
 metrics:
 - wer
 model-index:
-- name: model_output
+- name: Whisper Small fine tune-Edmund-0818
   results:
   - task:
       name: Automatic Speech Recognition
       type: automatic-speech-recognition
     dataset:
-      name: audiofolder
-      type: audiofolder
+      name: Preach_speech_finetuning
+      type: edmundchan70/Cantonese_fine_tune
       config: default
       split: train
-      args: default
+      args: 'config: chinese, split: test'
     metrics:
     - name: Wer
       type: wer
@@ -28,9 +30,9 @@ model-index:
 <!-- 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. -->
 
-# model_output
+# Whisper Small fine tune-Edmund-0818
 
-This model is a fine-tuned version of [edmundchan70/Cantonese_finetune_whisper](https://huggingface.co/edmundchan70/Cantonese_finetune_whisper) on the audiofolder dataset.
+This model is a fine-tuned version of [openai/whisper-small](https://huggingface.co/openai/whisper-small) on the Preach_speech_finetuning dataset.
 It achieves the following results on the evaluation set:
 - Loss: 0.1966
 - Wer: 30.4762