---
license: apache-2.0
base_model: facebook/wav2vec2-base-960h
tags:
- audio-classification
- deepfake
- audio-spoof
- generated_from_trainer
metrics:
- accuracy
model-index:
- name: wav2vec2-base-960h-asv19-deepfake
  results: []
---

<!-- 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. -->

# wav2vec2-base-960h-asv19-deepfake

This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0962
- Accuracy: 0.9845
- Far: 0.0090
- Frr: 0.0162
- Eer: 0.0126

## 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: 1e-06
- train_batch_size: 2
- eval_batch_size: 2
- seed: 42
- gradient_accumulation_steps: 2
- total_train_batch_size: 4
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4.0

### Training results

| Training Loss | Epoch | Step  | Validation Loss | Accuracy | Far    | Frr    | Eer    |
|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|:------:|
| 0.3383        | 0.79  | 5000  | 0.2361          | 0.8974   | 1.0    | 0.0    | 0.5    |
| 0.0829        | 1.58  | 10000 | 0.1134          | 0.9739   | 0.0122 | 0.0277 | 0.0199 |
| 0.0441        | 2.36  | 15000 | 0.0922          | 0.9841   | 0.0118 | 0.0163 | 0.0140 |
| 0.0484        | 3.15  | 20000 | 0.1215          | 0.9798   | 0.0086 | 0.0215 | 0.0151 |
| 0.0335        | 3.94  | 25000 | 0.0962          | 0.9845   | 0.0090 | 0.0162 | 0.0126 |


### Framework versions

- Transformers 4.38.0.dev0
- Pytorch 2.1.2+cu121
- Datasets 2.16.2.dev0
- Tokenizers 0.15.2