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--- |
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license: apache-2.0 |
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base_model: facebook/wav2vec2-base-960h |
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tags: |
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- audio-classification |
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- deepfake |
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- audio-spoof |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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model-index: |
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- name: wav2vec2-base-960h-asv19-deepfake |
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results: [] |
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--- |
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<!-- This model card has been generated automatically according to the information the Trainer had access to. You |
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should probably proofread and complete it, then remove this comment. --> |
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# wav2vec2-base-960h-asv19-deepfake |
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This model is a fine-tuned version of [facebook/wav2vec2-base-960h](https://huggingface.co/facebook/wav2vec2-base-960h) on an unknown dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0962 |
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- Accuracy: 0.9845 |
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- Far: 0.0090 |
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- Frr: 0.0162 |
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- Eer: 0.0126 |
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## Model description |
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More information needed |
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## Intended uses & limitations |
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More information needed |
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## Training and evaluation data |
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More information needed |
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## Training procedure |
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### Training hyperparameters |
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The following hyperparameters were used during training: |
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- learning_rate: 1e-06 |
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- train_batch_size: 2 |
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- eval_batch_size: 2 |
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- seed: 42 |
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- gradient_accumulation_steps: 2 |
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- total_train_batch_size: 4 |
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- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08 |
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- lr_scheduler_type: linear |
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- num_epochs: 4.0 |
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### Training results |
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Far | Frr | Eer | |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:------:|:------:| |
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| 0.3383 | 0.79 | 5000 | 0.2361 | 0.8974 | 1.0 | 0.0 | 0.5 | |
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| 0.0829 | 1.58 | 10000 | 0.1134 | 0.9739 | 0.0122 | 0.0277 | 0.0199 | |
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| 0.0441 | 2.36 | 15000 | 0.0922 | 0.9841 | 0.0118 | 0.0163 | 0.0140 | |
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| 0.0484 | 3.15 | 20000 | 0.1215 | 0.9798 | 0.0086 | 0.0215 | 0.0151 | |
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| 0.0335 | 3.94 | 25000 | 0.0962 | 0.9845 | 0.0090 | 0.0162 | 0.0126 | |
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### Framework versions |
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- Transformers 4.38.0.dev0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.2.dev0 |
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- Tokenizers 0.15.2 |
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