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deepfake-spanish-wav2vec2-linear-noaugmented
Dax99993/deepfake-spanish-wav2vec2-linear-noaugmented
deepfake-spanish-wav2vec2-linear-noaugmented is a audio classification model from Dax99993. Use it for the audio classification task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as apache-2.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Audio Classification
- Library
- transformers
- License
- apache-2.0
- Model type
- wav2vec2
- Access
- Public
- Created
- Mar 2, 2026
- Updated
- Mar 2, 2026
- SHA
- da7de04e
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
deepfake-spanish-wav2vec2-linear-noaugmented
This model is a fine-tuned version of Gustking/wav2vec2-large-xlsr-deepfake-audio-classification on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.5678
- Accuracy: 0.8906
- F1: 0.8893
- Precision: 0.9102
- Recall: 0.8906
- Roc Auc: 0.9950
- Eer: 0.0171
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: 32
- eval_batch_size: 48
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 128
- optimizer: Use adamw_torch_fused with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 75
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall | Roc Auc | Eer |
|---|---|---|---|---|---|---|---|---|---|
| 1.4707 | 0.4264 | 100 | 0.7530 | 0.8218 | 0.8159 | 0.8686 | 0.8218 | 0.9964 | 0.0309 |
| 1.4707 | 0.8529 | 200 | 0.5932 | 0.8394 | 0.8351 | 0.8784 | 0.8394 | 0.9983 | 0.0181 |
| 1.4707 | 1.2772 | 300 | 0.8508 | 0.8276 | 0.8224 | 0.8718 | 0.8276 | 0.9981 | 0.0141 |
| 1.4707 | 1.7036 | 400 | 0.6778 | 0.8658 | 0.8633 | 0.8942 | 0.8658 | 0.9944 | 0.0211 |
| 0.3105 | 2.1279 | 500 | 0.5678 | 0.8906 | 0.8893 | 0.9102 | 0.8906 | 0.9950 | 0.0171 |
Framework versions
- Transformers 5.2.0
- Pytorch 2.10.0+cu130
- Datasets 4.6.1
- Tokenizers 0.22.2
- Task
- Audio Classification
- Library
- transformers
- Type
- wav2vec2
- License
- apache-2.0
- Created
- Mar 2, 2026
- Updated
- Mar 2, 2026