Downloads · 30 days
38
0% of all-time downloads
VIT-VoxCelebSpoof-Mel_Spectrogram-Synthetic-Voice-Detection
MattyB95/VIT-VoxCelebSpoof-Mel_Spectrogram-Synthetic-Voice-Detection
VIT-VoxCelebSpoof-Mel_Spectrogram-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 mit.
should probably proofread and complete it, then remove this comment. --
All-time downloads
9.3K
Public
Parameters
85.8M
687 MB on disk
Likes
1
Public
Repo makeup
Click a slice to open those files.
.safetensors343 MB · 100%
At a glance
- Task
- Image Classification
- Library
- transformers
- License
- mit
- Model type
- vit
- Access
- Public
- Created
- Jan 23, 2024
- Updated
- Jan 31, 2024
- SHA
- 31323edb
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-VoxCelebSpoof-Mel_Spectrogram-Synthetic-Voice-Detection
This model is a fine-tuned version of google/vit-base-patch16-224-in21k on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0002
- Accuracy: 1.0000
- F1: 1.0000
- Precision: 1.0000
- Recall: 1.0
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 | Accuracy | F1 | Validation Loss | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.0048 | 1.0 | 29527 | 0.9998 | 0.9999 | 0.0010 | 0.9998 | 1.0 |
| 0.0 | 2.0 | 59054 | 0.0006 | 0.9999 | 0.9999 | 0.9999 | 0.9999 |
| 0.0 | 3.0 | 88581 | 0.0002 | 1.0000 | 1.0000 | 1.0000 | 1.0 |
Framework versions
- Transformers 4.37.0
- Pytorch 2.1.2+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Image Classification
- Library
- transformers
- Type
- vit
- License
- mit
- Languages
- en
- Created
- Jan 23, 2024
- Updated
- Jan 31, 2024