distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2-finetuned-gtzan
This model is a fine-tuned version of sveyek/distilhubert-finetuned-gtzan-se-finetuned-gtzan-se-2 on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.8723
- Accuracy: 0.82
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 16
- 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: 0.2
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0753 | 0.9956 | 56 | 0.8132 | 0.85 |
| 0.0024 | 1.9911 | 112 | 0.8723 | 0.82 |
Framework versions
- Transformers 4.46.2
- Pytorch 2.5.1+cu121
- Datasets 3.1.0
- Tokenizers 0.20.3
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