wbcmthh42
/

wavlm_handcrafted_feat3

Audio Classification

Generated from Trainer

Inference Endpoints

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wbcmthh42 commited on Apr 10

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README.md +5 -5
model.safetensors +1 -1

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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: 0.6252
-- F1: 0.8140
 ## Model description
@@ -51,9 +51,9 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step  | Validation Loss | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|
-| 0.3066        | 1.0   | 3777  | 0.8901          | 0.7238 |
-| 0.2817        | 2.0   | 7555  | 0.6252          | 0.8140 |
-| 0.2851        | 3.0   | 11331 | 0.7345          | 0.7949 |
 ### 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: 0.6121
+- F1: 0.7785
 ## Model description
 | Training Loss | Epoch | Step  | Validation Loss | F1     |
 |:-------------:|:-----:|:-----:|:---------------:|:------:|
+| 0.5362        | 1.0   | 3777  | 0.6599          | 0.7557 |
+| 0.485         | 2.0   | 7555  | 0.6121          | 0.7785 |
+| 0.5009        | 3.0   | 11331 | 0.6301          | 0.7743 |
 ### Framework versions

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