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QuanHcmus/wav2vec2-base-finetuned-gtzan
wav2vec2-base-finetuned-gtzan is a audio classification model from QuanHcmus. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
Downloads · 30 days
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From the Hugging Face model README
This model is a fine-tuned version of facebook/wav2vec2-base on the gtzan dataset. It achieves the following results on the evaluation set:
More information needed
More information needed
More information needed
The following hyperparameters were used during training:
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.2458 | 0.99 | 28 | 2.0258 | 0.38 |
| 1.8945 | 1.98 | 56 | 1.7438 | 0.47 |
| 1.6668 | 2.97 | 84 | 1.5996 | 0.53 |
| 1.5431 | 4.0 | 113 | 1.4844 | 0.69 |
| 1.3861 | 4.96 | 140 | 1.4561 | 0.66 |