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wav2vec2-base-music_genre_classifier-g3b
jvalero/wav2vec2-base-music_genre_classifier-g3b
wav2vec2-base-music_genre_classifier-g3b is a audio classification model from jvalero. 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. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Nov 14, 2024
- Updated
- Nov 14, 2024
- SHA
- b821c290
Base models
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. -->
wav2vec2-base-music_genre_classifier-g3b
This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 1.3709
- Accuracy: 0.7380
- F1: 0.7356
- Recall: 0.7395
- Precision: 0.7400
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: 3e-05
- train_batch_size: 12
- eval_batch_size: 12
- 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: 15
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Recall | Precision |
|---|---|---|---|---|---|---|---|
| 2.3444 | 1.0 | 276 | 2.2888 | 0.3618 | 0.2663 | 0.3495 | 0.2702 |
| 1.946 | 2.0 | 552 | 1.7679 | 0.4880 | 0.4277 | 0.4778 | 0.5072 |
| 1.6394 | 3.0 | 828 | 1.4655 | 0.5565 | 0.4966 | 0.5463 | 0.5089 |
| 1.2346 | 4.0 | 1104 | 1.3279 | 0.5974 | 0.5654 | 0.5937 | 0.6372 |
| 0.8945 | 5.0 | 1380 | 1.2718 | 0.6226 | 0.6021 | 0.6178 | 0.6240 |
| 0.7872 | 6.0 | 1656 | 1.1310 | 0.6671 | 0.6594 | 0.6691 | 0.6826 |
| 0.5562 | 7.0 | 1932 | 1.1743 | 0.6743 | 0.6677 | 0.6730 | 0.6857 |
| 0.65 | 8.0 | 2208 | 1.0722 | 0.7163 | 0.7178 | 0.7179 | 0.7394 |
| 0.3239 | 9.0 | 2484 | 1.1846 | 0.6899 | 0.6863 | 0.6909 | 0.6997 |
| 0.3885 | 10.0 | 2760 | 1.2243 | 0.7031 | 0.6994 | 0.7072 | 0.7126 |
| 0.1529 | 11.0 | 3036 | 1.2539 | 0.7175 | 0.7193 | 0.7195 | 0.7245 |
| 0.4527 | 12.0 | 3312 | 1.3231 | 0.7188 | 0.7116 | 0.7182 | 0.7220 |
| 0.324 | 13.0 | 3588 | 1.3190 | 0.7344 | 0.7360 | 0.7368 | 0.7409 |
| 0.0277 | 14.0 | 3864 | 1.3623 | 0.7356 | 0.7340 | 0.7370 | 0.7407 |
| 0.0276 | 15.0 | 4140 | 1.3709 | 0.7380 | 0.7356 | 0.7395 | 0.7400 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.0+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Nov 14, 2024
- Updated
- Nov 14, 2024