Hemg
/

heartbeat-detection

Audio Classification

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Hemg commited on Apr 4

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@@ -32,7 +32,7 @@ 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 audiofolder dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.0636
 - Accuracy: 1.0
 ## Model description
@@ -65,7 +65,7 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| 0.6322        | 1.0   | 9    | 0.0636          | 1.0      |
 ### Framework versions

 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: 0.0867
 - Accuracy: 1.0
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.6464        | 1.0   | 8    | 0.0867          | 1.0      |
 ### Framework versions