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Hemg/deeepfake-audio-Recognition-ttoo

🤗 Hugging Face sourceaudio-classificationapache-2.095M params378 MBsafetensors✓ 6 checksumsupdated today
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deeepfake-audio-Recognition-ttoo

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

  • Loss: 0.2288
  • Accuracy: 0.9545

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: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • lr_scheduler_warmup_ratio: 0.01
  • num_epochs: 16

Training results

Training Loss Epoch Step Validation Loss Accuracy
0.6417 1.0 33 0.5774 0.7879
0.4818 2.0 66 0.3792 0.8485
0.2756 3.0 99 0.3066 0.8788
0.3106 4.0 132 0.1951 0.9545
0.2138 5.0 165 0.2078 0.9394
0.0988 6.0 198 0.3227 0.9091
0.1043 7.0 231 0.2893 0.9394
0.0808 8.0 264 0.2177 0.9545
0.1312 9.0 297 0.2846 0.9091
0.0667 10.0 330 0.1955 0.9545
0.0513 11.0 363 0.2553 0.9545
0.0217 12.0 396 0.1708 0.9545
0.0136 13.0 429 0.1641 0.9545
0.0236 14.0 462 0.2203 0.9545
0.0097 15.0 495 0.2253 0.9545
0.003 16.0 528 0.2288 0.9545

Framework versions

  • Transformers 4.39.2
  • Pytorch 2.2.1+cu121
  • Datasets 2.18.0
  • Tokenizers 0.15.2