DavidFM43
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distilhubert-finetuned-gtzan

Audio Classification

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DavidFM43 commited on Jul 18, 2023

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update model card README.md

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@@ -18,7 +18,7 @@ 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: 0.6172
 - Accuracy: 0.84
 ## Model description
@@ -54,10 +54,10 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
 | 1.2016        | 1.0   | 112  | 1.2866          | 0.57     |
-| 0.777         | 2.0   | 225  | 0.9607          | 0.74     |
-| 0.7044        | 3.0   | 337  | 0.9342          | 0.7      |
-| 0.4601        | 4.0   | 450  | 0.8617          | 0.79     |
-| 0.226         | 4.98  | 560  | 0.6172          | 0.84     |
 ### Framework versions

 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: 0.6174
 - Accuracy: 0.84
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
 | 1.2016        | 1.0   | 112  | 1.2866          | 0.57     |
+| 0.7752        | 2.0   | 225  | 0.9609          | 0.74     |
+| 0.7032        | 3.0   | 337  | 0.9225          | 0.7      |
+| 0.4642        | 4.0   | 450  | 0.8619          | 0.79     |
+| 0.2253        | 4.98  | 560  | 0.6174          | 0.84     |
 ### Framework versions