Bisher/wav2vec2_ASV_deepfake_audio_detection_DF_finetune_modified_test_new
05
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wav2vec2ASVdeepfakeaudiodetectionDFfinetunemodifiedtest_new
This model is a fine-tuned version of Bisher/wav2vec2_ASV_deepfake_audio_detection on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.6134
- eval_accuracy: 0.905
- eval_precision: 0.9142
- eval_recall: 0.905
- eval_f1: 0.8713
- eval_TP: 3
- eval_TN: 178
- eval_FN: 19
- eval_FP: 0
- eval_EER: 0.2273
- evalmintDCF: 0.0326
- evalaucroc: 0.7814
- eval_runtime: 65.9291
- evalsamplesper_second: 3.034
- evalstepsper_second: 3.034
- epoch: 0.08
- step: 2
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
- trainbatchsize: 1
- evalbatchsize: 1
- seed: 42
- gradientaccumulationsteps: 4
- totaltrainbatch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lrschedulertype: linear
- lrschedulerwarmup_ratio: 0.1
- num_epochs: 2
- mixedprecisiontraining: Native AMP
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cpu
- Datasets 2.21.0
- Tokenizers 0.19.1