This model is a fine-tuned version of MIT/ast-finetuned-audioset-10-10-0.4593 on the audiofolder dataset. It achieves the following results on the evaluation set:

Loss: 2.2821
Accuracy: 0.8333
F1: 0.8892
Precision: 0.9209
Recall: 0.8595

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
0.0042	1.0	22795	1.6954	0.8470	0.8942	0.9672	0.8314
0.0	2.0	45590	1.5632	0.8489	0.9014	0.9157	0.8875
0.0	3.0	68385	2.2821	0.8333	0.8892	0.9209	0.8595

Framework versions

Transformers 4.42.4
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

MattyB95/AST-ASVspoof5-Synthetic-Voice-Detection

AST-ASVspoof5-Synthetic-Voice-Detection

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

MattyB95/
AST-ASVspoof5-Synthetic-Voice-Detection