metadata
tags:
- generated_from_trainer
model-index:
- name: wav2vec2_ASV_deepfake_audio_detection_DF_finetune_modified_test_1
results: []
wav2vec2_ASV_deepfake_audio_detection_DF_finetune_modified_test_1
This model is a fine-tuned version of on an unknown dataset. It achieves the following results on the evaluation set:
- eval_loss: 0.4676
- eval_accuracy: 0.945
- eval_precision: 0.9440
- eval_recall: 0.945
- eval_f1: 0.9444
- eval_TP: 16
- eval_TN: 173
- eval_FN: 6
- eval_FP: 5
- eval_EER: 0.1573
- eval_min_tDCF: 0.0364
- eval_auc_roc: 0.8601
- eval_runtime: 66.2088
- eval_samples_per_second: 3.021
- eval_steps_per_second: 3.021
- epoch: 0.2
- step: 5
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: 1
- eval_batch_size: 1
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 2
- mixed_precision_training: Native AMP
Framework versions
- Transformers 4.44.0
- Pytorch 2.4.0+cpu
- Datasets 2.21.0
- Tokenizers 0.19.1