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--- |
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license: apache-2.0 |
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base_model: google/vit-base-patch16-224-in21k |
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tags: |
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- generated_from_trainer |
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metrics: |
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- accuracy |
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- f1 |
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- precision |
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- recall |
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model-index: |
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- name: VIT-VoxCelebSpoof-Mel_Spectrogram-Synthetic-Voice-Detection |
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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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# VIT-VoxCelebSpoof-Mel_Spectrogram-Synthetic-Voice-Detection |
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This model is a fine-tuned version of [google/vit-base-patch16-224-in21k](https://huggingface.co/google/vit-base-patch16-224-in21k) on the None dataset. |
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It achieves the following results on the evaluation set: |
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- Loss: 0.0002 |
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- Accuracy: 1.0000 |
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- F1: 1.0000 |
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- Precision: 1.0000 |
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- Recall: 1.0 |
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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: 5e-05 |
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- train_batch_size: 8 |
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- eval_batch_size: 8 |
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- seed: 42 |
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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: 3.0 |
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### Training results |
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| Training Loss | Epoch | Step | Accuracy | F1 | Validation Loss | Precision | Recall | |
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|:-------------:|:-----:|:-----:|:--------:|:------:|:---------------:|:---------:|:------:| |
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| 0.0048 | 1.0 | 29527 | 0.9998 | 0.9999 | 0.0010 | 0.9998 | 1.0 | |
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| 0.0 | 2.0 | 59054 | 0.0006 | 0.9999 | 0.9999 | 0.9999 | 0.9999 | |
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| 0.0 | 3.0 | 88581 | 0.0002 | 1.0000 | 1.0000 | 1.0000 | 1.0 | |
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### Framework versions |
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- Transformers 4.37.0 |
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- Pytorch 2.1.2+cu121 |
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- Datasets 2.16.1 |
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- Tokenizers 0.15.1 |
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