
<!-- 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
{"language": ["en"], "license": "mit", "tags": ["generated_from_trainer"], "datasets": ["audiofolder", "LanceaKing/asvspoof2019"], "metrics": ["accuracy", "f1", "precision", "recall"], "base_model": "MIT/ast-finetuned-audioset-10-10-0.4593", "model-index": [{"name": "AST-ASVspoof2019-Synthetic-Voice-Detection", "results": [{"task": {"type": "audio-classification", "name": "Audio Classification"}, "dataset": {"name": "audiofolder", "type": "audiofolder", "config": "default", "split": "validation", "args": "default"}, "metrics": [{"type": "accuracy", "value": 0.6294477539848655, "name": "Accuracy"}, {"type": "f1", "value": 0.7685655387400071, "name": "F1"}, {"type": "precision", "value": 0.8743850817984212, "name": "Precision"}, {"type": "recall", "value": 0.6855938284894152, "name": "Recall"}]}]}]}
transformers safetensors audio-spectrogram-transformer audio-classification generated_from_trainer en dataset:audiofolder dataset:LanceaKing/asvspoof2019 base_model:MIT/ast-finetuned-audioset-10-10-0.4593 license:mit model-index endpoints_compatible region:us