metadata
license: apache-2.0
tags:
- generated_from_trainer
datasets:
- asvspoof2019
metrics:
- accuracy
base_model: facebook/wav2vec2-base-960h
model-index:
- name: wav2vec2-base-960h-finetuned-deepfake
results: []
wav2vec2-base-960h-finetuned-deepfake
This model is a fine-tuned version of facebook/wav2vec2-base-960h on the asvspoof2019 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0009
- Accuracy: 0.9998
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: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 4
- total_train_batch_size: 32
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy |
|---|---|---|---|---|
| 0.0027 | 1.0 | 793 | 0.0070 | 0.9990 |
| 0.0006 | 2.0 | 1586 | 0.0032 | 0.9995 |
| 0.0271 | 3.0 | 2379 | 0.0022 | 0.9995 |
| 0.0002 | 4.0 | 3172 | 0.0009 | 0.9998 |
| 0.0002 | 5.0 | 3965 | 0.0020 | 0.9998 |
Framework versions
- Transformers 4.22.1
- Pytorch 1.12.1+cu113
- Datasets 2.4.0
- Tokenizers 0.12.1