Model save
Browse files
README.md
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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-MFCC-Synthetic-Voice-Detection-New
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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-MFCC-Synthetic-Voice-Detection-New
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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: 0.0001
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- Accuracy: 1.0000
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- F1: 1.0000
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- Precision: 1.0
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- Recall: 1.0000
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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 | Validation Loss | Accuracy | F1 | Precision | Recall |
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|:-------------:|:-----:|:-----:|:---------------:|:--------:|:------:|:---------:|:------:|
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| 0.0 | 1.0 | 29527 | 0.0006 | 0.9999 | 0.9999 | 0.9999 | 0.9999 |
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| 0.0 | 2.0 | 59054 | 0.0002 | 0.9999 | 1.0000 | 1.0000 | 1.0000 |
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| 0.0 | 3.0 | 88581 | 0.0001 | 1.0000 | 1.0000 | 1.0 | 1.0000 |
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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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runs/Jan24_00-42-14_Phoenix/events.out.tfevents.1706056935.Phoenix.23160.0
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version https://git-lfs.github.com/spec/v1
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oid sha256:
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size
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version https://git-lfs.github.com/spec/v1
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oid sha256:661bf311ad2f35c1ede41d375127b253e9738e8bacf5fcf6e44d8aafcc3b1178
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size 34597
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