deep_fake_model_aug2 huggingface.co api & codewithRiz deep_fake_model_aug2 github AI Model

Introduction of deep_fake_model_aug2

Model Details of deep_fake_model_aug2

deep_fake_model_aug2

This model is a fine-tuned version of facebook/wav2vec2-base on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.1652
Accuracy: 0.9643
F1-score: 0.9643
Recall-score: 0.9643
Precision-score: 0.9644

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: 3e-05
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 16
total_train_batch_size: 64
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 10
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Accuracy	F1-score	Recall-score	Precision-score
0.5877	0.9984	156	0.4429	0.7971	0.7941	0.7971	0.8103
0.3294	1.9968	312	0.2590	0.8980	0.8980	0.8980	0.8984
0.1843	2.9952	468	0.3093	0.8930	0.8922	0.8930	0.9007
0.1505	4.0	625	0.1762	0.9418	0.9418	0.9418	0.9418
0.1021	4.9984	781	0.1905	0.9447	0.9447	0.9447	0.9455
0.0717	5.9968	937	0.1757	0.9523	0.9523	0.9523	0.9537
0.0597	6.9952	1093	0.1500	0.9632	0.9632	0.9632	0.9635
0.0447	8.0	1250	0.1751	0.9617	0.9617	0.9617	0.9617
0.0358	8.9984	1406	0.1652	0.9643	0.9643	0.9643	0.9644
0.0241	9.984	1560	0.1974	0.9602	0.9602	0.9602	0.9610

Framework versions

Transformers 4.42.3
Pytorch 2.1.2
Datasets 2.20.0
Tokenizers 0.19.1

Runs of codewithRiz deep_fake_model_aug2 on huggingface.co

Total runs

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More Information About deep_fake_model_aug2 huggingface.co Model

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https://choosealicense.com/licenses/apache-2.0

deep_fake_model_aug2 huggingface.co

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deep_fake_model_aug2 huggingface.co Url

https://huggingface.co/codewithRiz/deep_fake_model_aug2

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https://huggingface.co/codewithRiz/deep_fake_model_aug2

deep_fake_model_aug2 install

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