yojul
/

wav2vec2-base-one-shot-hip-hop-drums-clf

Audio Classification

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Community

yojul commited on May 29

Commit

6c1cd6b

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1 Parent(s): cea1856

End of training

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README.md +12 -12
model.safetensors +1 -1
training_args.bin +1 -1

README.md CHANGED Viewed

@@ -17,8 +17,8 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
-- Loss: 1.5567
-- Accuracy: 0.475
 ## Model description
@@ -52,16 +52,16 @@ The following hyperparameters were used during training:
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
-| No log        | 1.0   | 3    | 1.9203          | 0.4      |
-| No log        | 2.0   | 6    | 1.8357          | 0.45     |
-| No log        | 3.0   | 9    | 1.7626          | 0.45     |
-| 1.8485        | 4.0   | 12   | 1.7037          | 0.425    |
-| 1.8485        | 5.0   | 15   | 1.6605          | 0.45     |
-| 1.8485        | 6.0   | 18   | 1.6233          | 0.45     |
-| 1.5876        | 7.0   | 21   | 1.5963          | 0.475    |
-| 1.5876        | 8.0   | 24   | 1.5776          | 0.475    |
-| 1.5876        | 9.0   | 27   | 1.5634          | 0.475    |
-| 1.491         | 10.0  | 30   | 1.5567          | 0.475    |
 ### Framework versions

 This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
 It achieves the following results on the evaluation set:
+- Loss: 0.2463
+- Accuracy: 0.9243
 ## Model description
 | Training Loss | Epoch | Step | Validation Loss | Accuracy |
 |:-------------:|:-----:|:----:|:---------------:|:--------:|
+| 0.8432        | 1.0   | 123  | 0.7449          | 0.8523   |
+| 0.4692        | 2.0   | 246  | 0.4199          | 0.8894   |
+| 0.3478        | 3.0   | 369  | 0.3122          | 0.9148   |
+| 0.3054        | 4.0   | 492  | 0.2771          | 0.9156   |
+| 0.2522        | 5.0   | 615  | 0.2676          | 0.9217   |
+| 0.2221        | 6.0   | 738  | 0.2495          | 0.9217   |
+| 0.2256        | 7.0   | 861  | 0.2588          | 0.9184   |
+| 0.1949        | 8.0   | 984  | 0.2525          | 0.9232   |
+| 0.1837        | 9.0   | 1107 | 0.2505          | 0.9237   |
+| 0.1644        | 10.0  | 1230 | 0.2463          | 0.9243   |
 ### Framework versions

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