---
license: mit
base_model: MIT/ast-finetuned-audioset-10-10-0.4593
tags:
- generated_from_trainer
datasets:
- audiofolder
- LanceaKing/asvspoof2019
metrics:
- accuracy
- f1
- precision
- recall
model-index:
- name: AST-ASVspoof2019-Synthetic-Voice-Detection
  results:
  - task:
      name: Audio Classification
      type: audio-classification
    dataset:
      name: audiofolder
      type: audiofolder
      config: default
      split: validation
      args: default
    metrics:
    - name: Accuracy
      type: accuracy
      value: 0.6294477539848655
    - name: F1
      type: f1
      value: 0.7685655387400071
    - name: Precision
      type: precision
      value: 0.8743850817984212
    - name: Recall
      type: recall
      value: 0.6855938284894152
language:
- en
---

<!-- 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. -->

# AST-ASVspoof2019-Synthetic-Voice-Detection

This model is a fine-tuned version of [MIT/ast-finetuned-audioset-10-10-0.4593](https://huggingface.co/MIT/ast-finetuned-audioset-10-10-0.4593) on the audiofolder dataset.
It achieves the following results on the evaluation set:
- Loss: 
- Accuracy: 
- F1: 
- Precision: 
- Recall: 

## 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: 5e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3.0

### Training results

| Training Loss                         | Epoch | Step | Validation Loss                       | Accuracy | F1     | Precision | Recall |
|:-------------------------------------:|:-----:|:----:|:-------------------------------------:|:--------:|:------:|:---------:|:------:|
|  | 1.0   |  |  |    |  |     |  |
|  | 2.0   |  |  |    |  |     |  |
|  | 3.0   |  |  |    |  |     |  |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.2
- Datasets 2.15.0
- Tokenizers 0.15.0