|
--- |
|
license: mit |
|
base_model: google/vit-base-patch16-224-in21k |
|
tags: |
|
- generated_from_trainer |
|
metrics: |
|
- accuracy |
|
- f1 |
|
- precision |
|
- recall |
|
model-index: |
|
- name: VIT-VoxCelebSpoof-ConstantQ-Synthetic-Voice-Detection |
|
results: [] |
|
datasets: |
|
- MattyB95/VoxCelebSpoof |
|
language: |
|
- en |
|
--- |
|
|
|
<!-- 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-ConstantQ-Synthetic-Voice-Detection |
|
|
|
This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset. |
|
It achieves the following results on the evaluation set: |
|
- Accuracy: 1.0 |
|
- F1: 1.0 |
|
- Loss: 0.0000 |
|
- Precision: 1.0 |
|
- 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 | |
|
|:-------------:|:-----:|:-----:|:--------:|:------:|:---------------:|:---------:|:------:| |
|
| 0.0 | 1.0 | 29527 | 0.9999 | 0.9999 | 0.0006 | 0.9999 | 1.0 | |
|
| 0.0 | 2.0 | 59054 | 1.0000 | 1.0000 | 0.0002 | 1.0 | 0.9999 | |
|
| 0.0 | 3.0 | 88581 | 1.0 | 1.0 | 0.0000 | 1.0 | 1.0 | |
|
|
|
|
|
### Framework versions |
|
|
|
- Transformers 4.37.0 |
|
- Pytorch 2.1.2+cu121 |
|
- Datasets 2.16.1 |
|
- Tokenizers 0.15.1 |
