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VIT-VoxCelebSpoof-Mel_Spectrogram-Synthetic-Voice-Detection – AI Model by MattyB95 | AlphaNeural AI
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MattyB95
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VIT-VoxCelebSpoof-Mel_Spectrogram-Synthetic-Voice-Detection
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transformers
tensorboard
safetensors
vit
image-classification
generated_from_trainer
en
MattyB95/VoxCelebSpoof
google/vit-base-patch16-224-in21k
finetune
mit
autotrain_compatible
endpoints_compatible
us
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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
