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wav2vec2_ASV_deepfake_audio_detection_DF_finetune_modified_test_1 – AI Model by Bisher | AlphaNeural AI
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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
