readme: ---
  license: apache-2.0
  tags:
  - generated_from_trainer
  datasets:
  - asvspoof2019
  metrics:
  - accuracy
  model-index:
  - name: wav2vec2-base-960h-finetuned-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-finetuned-deepfake
  
  This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/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
  