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distilhubert-finetuned-gtzan
This model is a fine-tuned version of weiren119/distilhubert-finetuned-finetuned-gtzan on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.9411
- Accuracy: 0.88
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: 1e-05
- train_batch_size: 16
- eval_batch_size: 16
- 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: 10
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0012 | 1.0 | 57 | 0.9231 | 0.86 |
| 0.0009 | 2.0 | 114 | 0.9304 | 0.88 |
| 0.0007 | 3.0 | 171 | 0.9359 | 0.87 |
| 0.0008 | 4.0 | 228 | 1.0345 | 0.85 |
| 0.0007 | 5.0 | 285 | 0.9492 | 0.87 |
| 0.0139 | 6.0 | 342 | 0.9883 | 0.86 |
| 0.0409 | 7.0 | 399 | 0.9377 | 0.88 |
| 0.0005 | 8.0 | 456 | 0.9460 | 0.88 |
| 0.0005 | 9.0 | 513 | 0.9462 | 0.88 |
| 0.0005 | 10.0 | 570 | 0.9411 | 0.88 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.1
- Tokenizers 0.13.3
