Downloads · 30 days
7
1% of all-time downloads
music_genres_classification-finetuned-gtzan
sugarblock/music_genres_classification-finetuned-gtzan
music_genres_classification-finetuned-gtzan is a audio classification model from sugarblock. 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. --
All-time downloads
1.3K
Public
Parameters
94.6M
3.4 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors378 MB · 100%
At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Feb 6, 2025
- Updated
- Feb 7, 2025
- SHA
- f3e4d79d
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
music_genres_classification-finetuned-gtzan
This model is a fine-tuned version of dima806/music_genres_classification on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.3249
- Accuracy: 0.93
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 10
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4625 | 1.0 | 113 | 1.2806 | 0.62 |
| 1.3333 | 2.0 | 226 | 0.6150 | 0.85 |
| 0.5933 | 3.0 | 339 | 1.0492 | 0.7 |
| 0.3719 | 4.0 | 452 | 0.7653 | 0.81 |
| 0.3841 | 5.0 | 565 | 0.7379 | 0.85 |
| 0.7695 | 6.0 | 678 | 0.7611 | 0.81 |
| 0.5149 | 7.0 | 791 | 0.3903 | 0.92 |
| 0.1148 | 8.0 | 904 | 0.3904 | 0.93 |
| 0.3073 | 9.0 | 1017 | 0.3303 | 0.93 |
| 0.0687 | 10.0 | 1130 | 0.3249 | 0.93 |
Framework versions
- Transformers 4.48.2
- Pytorch 2.6.0+cu126
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Feb 6, 2025
- Updated
- Feb 7, 2025