metadata
license: apache-2.0
model-index:
- name: vit-base-vocalsound
results: []
vit-base-vocalsound
This model is a fine-tuned version of google/vit-base-patch16-224 on VocalSound dataset. It achieves the following results on the evaluation set:
- accuracy: 81.5
- precision (micro): 86.9
- recall (micro): 76.4
- f1 score (micro): 81.3
- f1 score (macro): 81.2
Training and evaluation data
Training: VocalSound training split (#samples = 15570)
Evaluation: VocalSound test split(#samples = 3594)
Training hyperparameters
The following hyperparameters were used during training:
- optimizer: AdamW
- weight_decay: 0
- learning_rate: 5e-5
- batch_size: 32
- training_precision: float32
Framework versions
- Transformers 4.27.4
- TensorFlow 2.12.0
- Tokenizers 0.13.3