End of training

README.md

@@ -28,13 +28,13 @@ model-index:
       value: 0.87
     - name: Precision
       type: precision
-      value: 0.8732395382395381
+      value: 0.8753213453213452
     - name: Recall
       type: recall
       value: 0.87
     - name: F1
       type: f1
-      value: 0.8675442617238284
+      value: 0.8641214483158217
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -45,11 +45,11 @@ 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: 0.6051
+- Loss: 0.5488
 - Accuracy: 0.87
-- Precision: 0.8732
+- Precision: 0.8753
 - Recall: 0.87
-- F1: 0.8675
+- F1: 0.8641
 
 ## Model description
 

runs/Aug09_08-24-26_40045f33c786/events.out.tfevents.1723201655.40045f33c786.34.1

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