wbcmthh42
/

wavlm_handcrafted_feat2

Audio Classification

Generated from Trainer

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wbcmthh42 commited on Apr 2

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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: 0.6375
-- Accuracy: 0.8701
 ## Model description
@@ -45,15 +45,13 @@ The following hyperparameters were used during training:
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
-- num_epochs: 3
 ### Training results
-| 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

 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: 0.5660
+- Accuracy: 0.8624
 ## Model description
 - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
 - lr_scheduler_type: linear
 - lr_scheduler_warmup_ratio: 0.1
+- num_epochs: 1
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.3032        | 1.0   | 3610 | 0.5660          | 0.8624   |
 ### Framework versions