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wav2vec2-base-finetuned-deepfake-0919 – AI Model by HyperMoon | AlphaNeural AI
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wav2vec2-base-finetuned-deepfake-0919
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transformers
pytorch
tensorboard
wav2vec2
audio-classification
generated_from_trainer
asvspoof2019
apache-2.0
endpoints_compatible
us
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wav2vec2-base-finetuned-deepfake-0919
This model is a fine-tuned version of
facebook/wav2vec2-base
on the asvspoof2019 dataset. It achieves the following results on the evaluation set:
Loss: 0.3335
Accuracy: 0.8974
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: 0.0003
train_batch_size: 4
eval_batch_size: 4
seed: 42
gradient_accumulation_steps: 4
total_train_batch_size: 16
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
lr_scheduler_warmup_ratio: 0.1
num_epochs: 5
Training results
Training Loss
Epoch
Step
Validation Loss
Accuracy
0.3025
1.0
1586
0.3335
0.8974
0.4214
2.0
3172
0.3331
0.8974
0.4378
3.0
4758
0.3307
0.8974
0.3993
4.0
6344
0.3331
0.8974
0.2839
5.0
7930
0.3315
0.8974
Framework versions
Transformers 4.22.1
Pytorch 1.12.1+cu113
Datasets 2.4.0
Tokenizers 0.12.1
