0xmagical
/

wavlm-both

Audio Classification

Generated from Trainer

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0xmagical commited on Mar 22, 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: 0.5823
-- Accuracy: 0.8699
 ## Model description
@@ -49,11 +49,11 @@ The following hyperparameters were used during training:
 ### Training results
-| Training Loss | Epoch | Step  | Validation Loss | Accuracy |
-|:-------------:|:-----:|:-----:|:---------------:|:--------:|
-| 0.3668        | 1.0   | 7220  | 0.5813          | 0.8596   |
-| 0.3251        | 2.0   | 14440 | 0.4635          | 0.8690   |
-| 0.2523        | 3.0   | 21660 | 0.5823          | 0.8699   |
 ### 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: 0.7733
+- Accuracy: 0.8829
 ## Model description
 ### Training results
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 1.0804        | 1.0   | 13   | 0.9762          | 0.7428   |
+| 0.9797        | 2.0   | 26   | 0.8233          | 0.8816   |
+| 0.8876        | 3.0   | 39   | 0.7733          | 0.8829   |
 ### Framework versions