wav2vec2-base-one-shot-hip-hop-drums-clf-finetuned-gtzan
This model is a fine-tuned version of yojul/wav2vec2-base-one-shot-hip-hop-drums-clf on the GTZAN dataset. It achieves the following results on the evaluation set:
- Loss: 0.9288
- Accuracy: 0.74
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: 4
- eval_batch_size: 4
- seed: 42
- gradient_accumulation_steps: 2
- 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: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 1.7695 | 1.0 | 100 | 1.9632 | 0.345 |
| 1.3851 | 2.0 | 200 | 1.3526 | 0.56 |
| 1.0214 | 3.0 | 300 | 1.3209 | 0.58 |
| 0.725 | 4.0 | 400 | 1.0294 | 0.72 |
| 0.6425 | 5.0 | 500 | 0.9288 | 0.74 |
Framework versions
- Transformers 4.44.2
- Pytorch 2.4.1+cu121
- Datasets 3.0.1
- Tokenizers 0.19.1