Hemg / deeepfake-audio-Recognition-ttoo

huggingface.co
Total runs: 25
24-hour runs: 0
7-day runs: 8
30-day runs: 17
Model's Last Updated: April 01 2024
audio-classification

Introduction of deeepfake-audio-Recognition-ttoo

Model Details of deeepfake-audio-Recognition-ttoo

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

Runs of Hemg deeepfake-audio-Recognition-ttoo on huggingface.co

25
Total runs
0
24-hour runs
-1
3-day runs
8
7-day runs
17
30-day runs

More Information About deeepfake-audio-Recognition-ttoo huggingface.co Model

More deeepfake-audio-Recognition-ttoo license Visit here:

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

deeepfake-audio-Recognition-ttoo huggingface.co

deeepfake-audio-Recognition-ttoo huggingface.co is an AI model on huggingface.co that provides deeepfake-audio-Recognition-ttoo's model effect (), which can be used instantly with this Hemg deeepfake-audio-Recognition-ttoo model. huggingface.co supports a free trial of the deeepfake-audio-Recognition-ttoo model, and also provides paid use of the deeepfake-audio-Recognition-ttoo. Support call deeepfake-audio-Recognition-ttoo model through api, including Node.js, Python, http.

deeepfake-audio-Recognition-ttoo huggingface.co Url

https://huggingface.co/Hemg/deeepfake-audio-Recognition-ttoo

Hemg deeepfake-audio-Recognition-ttoo online free

deeepfake-audio-Recognition-ttoo huggingface.co is an online trial and call api platform, which integrates deeepfake-audio-Recognition-ttoo's modeling effects, including api services, and provides a free online trial of deeepfake-audio-Recognition-ttoo, you can try deeepfake-audio-Recognition-ttoo online for free by clicking the link below.

Hemg deeepfake-audio-Recognition-ttoo online free url in huggingface.co:

https://huggingface.co/Hemg/deeepfake-audio-Recognition-ttoo

deeepfake-audio-Recognition-ttoo install

deeepfake-audio-Recognition-ttoo is an open source model from GitHub that offers a free installation service, and any user can find deeepfake-audio-Recognition-ttoo on GitHub to install. At the same time, huggingface.co provides the effect of deeepfake-audio-Recognition-ttoo install, users can directly use deeepfake-audio-Recognition-ttoo installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

deeepfake-audio-Recognition-ttoo install url in huggingface.co:

https://huggingface.co/Hemg/deeepfake-audio-Recognition-ttoo

Url of deeepfake-audio-Recognition-ttoo

deeepfake-audio-Recognition-ttoo huggingface.co Url

Provider of deeepfake-audio-Recognition-ttoo huggingface.co

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