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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@@ -18,8 +18,8 @@ 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:
-- Loss: 0.6218
-- Accuracy: 0.84
 ## Model description
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.202         | 1.0   | 112  | 1.2868          | 0.56     |
-| 0.7797        | 2.0   | 225  | 0.9568          | 0.72     |
-| 0.7016        | 3.0   | 337  | 0.9281          | 0.7      |
-| 0.4585        | 4.0   | 450  | 0.8546          | 0.79     |
-| 0.2392        | 4.98  | 560  | 0.6218          | 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: 0.6192
+- Accuracy: 0.83
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.203         | 1.0   | 112  | 1.2880          | 0.56     |
+| 0.7766        | 2.0   | 225  | 0.9546          | 0.74     |
+| 0.7045        | 3.0   | 337  | 0.9271          | 0.69     |
+| 0.462         | 4.0   | 450  | 0.8588          | 0.79     |
+| 0.236         | 4.98  | 560  | 0.6192          | 0.83     |
 ### Framework versions