End of training

README.md

@@ -23,7 +23,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.86
+      value: 0.87
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -33,8 +33,8 @@ should probably proofread and complete it, then remove this comment. -->
 
 This model is a fine-tuned version of [ntu-spml/distilhubert](https://huggingface.co/ntu-spml/distilhubert) on the GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6084
-- Accuracy: 0.86
+- Loss: 0.5143
+- Accuracy: 0.87
 
 ## Model description
 

runs/Nov13_09-42-27_caf23e051577/events.out.tfevents.1731497932.caf23e051577.806.2

@@ -0,0 +1,3 @@
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+oid sha256:ec79cfbd42fe52e5748572ebf42ade844a1cbb8539f2e97ba5560f0323a1eb56
+size 411