Downloads · 30 days
17
0% of all-time downloads
VIT-ASVspoof5-ConstantQ-Synthetic-Voice-Detection
MattyB95/VIT-ASVspoof5-ConstantQ-Synthetic-Voice-Detection
VIT-ASVspoof5-ConstantQ-Synthetic-Voice-Detection is a image classification model from MattyB95. Use it when you need a label for an image. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
All-time downloads
5.1K
Public
Parameters
85.8M
1 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors343 MB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- vit
- Access
- Public
- Created
- Jul 19, 2024
- Updated
- Jul 20, 2024
- SHA
- 3333a085
Base models
Datasets
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
VIT-ASVspoof5-ConstantQ-Synthetic-Voice-Detection
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 2.1171
- Accuracy: 0.7590
- F1: 0.8126
- Precision: 0.8285
- Recall: 0.7974
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.0145 | 1.0 | 22795 | 1.4281 | 0.7289 | 0.8193 | 0.7275 | 0.9377 |
| 0.0084 | 2.0 | 45590 | 1.7308 | 0.7343 | 0.7730 | 0.8787 | 0.6899 |
| 0.0 | 3.0 | 68385 | 2.1171 | 0.7590 | 0.8126 | 0.8285 | 0.7974 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- apache-2.0
- Created
- Jul 19, 2024
- Updated
- Jul 20, 2024