distilhubert-finetuned-gtzan
This model is a fine-tuned version of PraveenKishore/distilhubert-finetuned-gtzan on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.6557
- Accuracy: 0.85
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.4916 | 1.0 | 113 | 0.6494 | 0.85 |
| 0.5299 | 2.0 | 226 | 0.7006 | 0.77 |
| 0.2344 | 3.0 | 339 | 0.7877 | 0.8 |
| 0.2288 | 4.0 | 452 | 0.7310 | 0.83 |
| 0.0478 | 5.0 | 565 | 0.6557 | 0.85 |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
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