---
license: apache-2.0
base_model: facebook/wav2vec2-base
tags:
- generated_from_trainer
metrics:
- accuracy
- precision
- recall
model-index:
- name: wav2vec2-adversarial-detector
  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-adversarial-detector

This model is a fine-tuned version of [facebook/wav2vec2-base](https://huggingface.co/facebook/wav2vec2-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0003
- Accuracy: 1.0
- Precision: 1.0
- Recall: 1.0

## 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: 2e-05
- train_batch_size: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Accuracy | Precision | Recall |
|:-------------:|:-----:|:----:|:---------------:|:--------:|:---------:|:------:|
| 0.1941        | 1.0   | 313  | 0.0061          | 0.998    | 0.9980    | 0.998  |
| 0.0251        | 2.0   | 626  | 0.0011          | 1.0      | 1.0       | 1.0    |
| 0.0089        | 3.0   | 939  | 0.0005          | 1.0      | 1.0       | 1.0    |
| 0.0054        | 4.0   | 1252 | 0.0003          | 1.0      | 1.0       | 1.0    |
| 0.0076        | 5.0   | 1565 | 0.0003          | 1.0      | 1.0       | 1.0    |


### Framework versions

- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1