wbcmthh42
/

wavlm_handcrafted_feat2

Audio Classification

Generated from Trainer

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wbcmthh42 commited on Apr 1, 2024

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@@ -16,8 +16,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [microsoft/wavlm-base-plus](https://huggingface.co/microsoft/wavlm-base-plus) on the None dataset.
 It achieves the following results on the evaluation set:
-- Loss: 0.6398
-- Accuracy: 0.8692
 ## Model description
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.3176        | 1.0   | 3610  | 0.6951          | 0.8425   |
-| 0.2579        | 2.0   | 7220  | 0.5559          | 0.8674   |
-| 0.2214        | 3.0   | 10830 | 0.6398          | 0.8692   |
 ### Framework versions

 This model is a fine-tuned version of [microsoft/wavlm-base-plus](https://huggingface.co/microsoft/wavlm-base-plus) on the None dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.6375
+- Accuracy: 0.8701
 ## Model description
 | Training Loss | Epoch | Step  | Validation Loss | Accuracy |
 |:-------------:|:-----:|:-----:|:---------------:|:--------:|
+| 0.3168        | 1.0   | 3610  | 0.6366          | 0.8510   |
+| 0.2482        | 2.0   | 7220  | 0.5499          | 0.8692   |
+| 0.2167        | 3.0   | 10830 | 0.6375          | 0.8701   |
 ### Framework versions