End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.8260869565217391
+      value: 0.8369565217391305
 ---
 
 <!-- This model card has been generated automatically according to the information the Trainer had access to. You
@@ -32,8 +32,8 @@ 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 audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6962
-- Accuracy: 0.8261
+- Loss: 1.0903
+- Accuracy: 0.8370
 
 ## Model description
 
@@ -58,7 +58,7 @@ The following hyperparameters were used during training:
 - seed: 123
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
-- num_epochs: 4
+- num_epochs: 1
 
 ### Training results
 

runs/Jul02_19-45-25_DesMar/events.out.tfevents.1719942589.DesMar.12904.1

@@ -0,0 +1,3 @@
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+size 405