End of training

README.md

@@ -22,7 +22,7 @@ model-index:
     metrics:
     - name: Accuracy
       type: accuracy
-      value: 0.83
+      value: 0.81
 ---
 
 <!-- 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 GTZAN dataset.
 It achieves the following results on the evaluation set:
-- Accuracy: 0.83
-- Loss: 0.6037
+- Loss: 0.8224
+- Accuracy: 0.81
 
 ## Model description
 
@@ -64,18 +64,18 @@ The following hyperparameters were used during training:
 
 ### Training results
 
-| Training Loss | Epoch | Step | Accuracy | Validation Loss |
-|:-------------:|:-----:|:----:|:--------:|:---------------:|
-| 1.1965        | 1.0   | 113  | 0.72     | 1.0930          |
-| 0.8761        | 2.0   | 226  | 0.72     | 0.9204          |
-| 1.2037        | 3.0   | 339  | 0.78     | 0.8489          |
-| 0.7389        | 4.0   | 452  | 0.79     | 0.7939          |
-| 0.8392        | 5.0   | 565  | 0.84     | 0.6780          |
-| 0.8498        | 6.0   | 678  | 0.82     | 0.6483          |
-| 0.4516        | 7.0   | 791  | 0.82     | 0.6372          |
-| 0.32          | 8.0   | 904  | 0.81     | 0.6238          |
-| 0.5597        | 9.0   | 1017 | 0.81     | 0.6276          |
-| 0.3312        | 10.0  | 1130 | 0.83     | 0.6037          |
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 2.201         | 1.0   | 113  | 2.1256          | 0.39     |
+| 1.6789        | 2.0   | 226  | 1.6543          | 0.59     |
+| 1.5602        | 3.0   | 339  | 1.3917          | 0.64     |
+| 1.1966        | 4.0   | 452  | 1.1946          | 0.67     |
+| 1.1131        | 5.0   | 565  | 1.0492          | 0.77     |
+| 1.0258        | 6.0   | 678  | 0.9712          | 0.76     |
+| 0.988         | 7.0   | 791  | 0.9160          | 0.76     |
+| 0.7303        | 8.0   | 904  | 0.8704          | 0.8      |
+| 0.8036        | 9.0   | 1017 | 0.8425          | 0.8      |
+| 0.742         | 10.0  | 1130 | 0.8224          | 0.81     |
 
 
 ### Framework versions

model.safetensors

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 size 94771728

runs/Apr16_03-10-47_2e07569e70e3/events.out.tfevents.1713237079.2e07569e70e3.179.0

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 version https://git-lfs.github.com/spec/v1
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-size 51417
+oid sha256:262d09db404e57fa3d02e5e283c2105ffa0829e98ed03f982e46a86f4a33c9e5
+size 56947