pingpong-music_genres_classification-finetuned-gtzan
This model is a fine-tuned version of yus988/pingpong-music_genres_classification-finetuned on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.2967
- Accuracy: 0.94
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 8
- 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: 7
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.4316 | 1.0 | 112 | 1.2668 | 0.75 |
| 1.7743 | 1.99 | 224 | 1.0659 | 0.64 |
| 0.9712 | 3.0 | 337 | 0.5958 | 0.84 |
| 1.2043 | 4.0 | 449 | 0.6563 | 0.86 |
| 0.5506 | 4.99 | 561 | 0.3875 | 0.9 |
| 0.5882 | 6.0 | 674 | 0.4775 | 0.9 |
| 0.3522 | 6.98 | 784 | 0.2967 | 0.94 |
Framework versions
- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0
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