hubert-base-960h-asv19-deepfake – AI Model by abhishtagatya | AlphaNeural AI

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abhishtagatya/
hubert-base-960h-asv19-deepfake

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audio-classification

generated_from_trainer

facebook/hubert-base-ls960

endpoints_compatible

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hubert-base-960h-asv19-deepfake

This model is a fine-tuned version of facebook/hubert-base-ls960 on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.0624
Accuracy: 0.9918
Far: 0.0024
Frr: 0.0088
Eer: 0.0056

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: 1e-06
train_batch_size: 2
eval_batch_size: 2
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 4
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 4.0

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	Far	Frr	Eer
0.0726	0.79	5000	0.1522	0.9648	0.0027	0.0389	0.0208
0.0338	1.58	10000	0.0995	0.9852	0.0024	0.0162	0.0093
0.0256	2.36	15000	0.0434	0.9940	0.0027	0.0063	0.0045
0.0294	3.15	20000	0.0756	0.9899	0.0020	0.0111	0.0065
0.0175	3.94	25000	0.0624	0.9918	0.0024	0.0088	0.0056

Framework versions

Transformers 4.38.0.dev0
Pytorch 2.1.2+cu121
Datasets 2.16.2.dev0
Tokenizers 0.15.2