|
--- |
|
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](https://huggingface.co/google/vit-base-patch16-224) on [VocalSound](https://github.com/YuanGongND/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 |