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: 0.7023
-- Accuracy: 0.8261
+- Loss: 0.6680
+- Accuracy: 0.8370
 
 ## Model description
 
@@ -64,7 +64,7 @@ The following hyperparameters were used during training:
 
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 13   | 0.7023          | 0.8261   |
+| No log        | 1.0   | 12   | 0.6680          | 0.8370   |
 
 
 ### Framework versions

runs/Jul02_22-15-53_DesMar/events.out.tfevents.1719951355.DesMar.316.0

@@ -1,3 +1,3 @@
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-size 5905
+oid sha256:3f68152b0b744f6035d99d97c83535ddad4c11da83442d534692fc0ffaec5e58
+size 6570

runs/Jul02_22-15-53_DesMar/events.out.tfevents.1719951650.DesMar.316.1

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