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: 0.6189
-- Accuracy: 0.83
 ## Model description
@@ -53,11 +53,11 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 1.2028        | 1.0   | 112  | 1.2877          | 0.56     |
-| 0.7758        | 2.0   | 225  | 0.9572          | 0.74     |
-| 0.706         | 3.0   | 337  | 0.9283          | 0.7      |
-| 0.4612        | 4.0   | 450  | 0.8568          | 0.78     |
-| 0.2309        | 4.98  | 560  | 0.6189          | 0.83     |
 ### 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: 0.6182
+- Accuracy: 0.84
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.2018        | 1.0   | 112  | 1.2866          | 0.57     |
+| 0.7783        | 2.0   | 225  | 0.9580          | 0.73     |
+| 0.7036        | 3.0   | 337  | 0.9175          | 0.7      |
+| 0.4663        | 4.0   | 450  | 0.8655          | 0.79     |
+| 0.2325        | 4.98  | 560  | 0.6182          | 0.84     |
 ### Framework versions