update model card README.md

README.md

@@ -1,5 +1,7 @@
 ---
 tags:
+- automatic-speech-recognition
+- gary109/AI_Light_Dance
 - generated_from_trainer
 datasets:
 - ai_light_dance
@@ -7,20 +9,7 @@ metrics:
 - wer
 model-index:
 - name: ai-light-dance_drums_ft_pretrain_wav2vec2-base-new_onset-idmt-2
-  results:
-  - task:
-      name: Automatic Speech Recognition
-      type: automatic-speech-recognition
-    dataset:
-      name: ai_light_dance
-      type: ai_light_dance
-      config: onset-idmt-2
-      split: train
-      args: onset-idmt-2
-    metrics:
-    - name: Wer
-      type: wer
-      value: 0.2388888888888889
+  results: []
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -28,10 +17,10 @@ should probably proofread and complete it, then remove this comment. -->
 
 # ai-light-dance_drums_ft_pretrain_wav2vec2-base-new_onset-idmt-2
 
-This model is a fine-tuned version of [gary109/ai-light-dance_drums_ft_pretrain_wav2vec2-base-new_onset-idmt-2](https://huggingface.co/gary109/ai-light-dance_drums_ft_pretrain_wav2vec2-base-new_onset-idmt-2) on the ai_light_dance dataset.
+This model is a fine-tuned version of [gary109/ai-light-dance_drums_ft_pretrain_wav2vec2-base-new_onset-idmt-2](https://huggingface.co/gary109/ai-light-dance_drums_ft_pretrain_wav2vec2-base-new_onset-idmt-2) on the GARY109/AI_LIGHT_DANCE - ONSET-IDMT-2 dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6700
-- Wer: 0.2389
+- Loss: 0.2794
+- Wer: 0.2733
 
 ## Model description