wav2vec2-base-100k-gtzan-music-genres-finetuned-gtzan
This model is a fine-tuned version of m3hrdadfi/wav2vec2-base-100k-gtzan-music-genres on the gtzan dataset. It achieves the following results on the evaluation set:
- Loss: 1.6132
- Accuracy: 0.97
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: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 8
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 4
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 2.0341 | 1.0 | 112 | 1.9937 | 0.8 |
| 1.7208 | 2.0 | 225 | 1.6132 | 0.97 |
| 1.5191 | 3.0 | 337 | 1.4689 | 0.89 |
| 1.4314 | 3.98 | 448 | 1.3428 | 0.97 |
Framework versions
- Transformers 4.30.0
- Pytorch 2.1.2
- Datasets 2.19.1
- Tokenizers 0.13.3
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