Training complete — Celeb-DF v2
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README.md
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---
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library_name: transformers
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license: apache-2.0
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base_model: google/vit-base-patch16-224
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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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model-index:
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- name: Deepfakes_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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# Deepfakes_detection
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This model is a fine-tuned version of [google/vit-base-patch16-224](https://huggingface.co/google/vit-base-patch16-224) on an unknown dataset.
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It achieves the following results on the evaluation set:
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- Loss: 0.3242
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- Accuracy: 0.9222
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- Auc: 0.9998
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- F1 Fake: 0.9278
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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: 0.0002
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- train_batch_size: 256
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- eval_batch_size: 512
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- seed: 42
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- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
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- lr_scheduler_type: linear
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- lr_scheduler_warmup_steps: 5
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- num_epochs: 5
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- mixed_precision_training: Native AMP
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### Training results
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| Training Loss | Epoch | Step | Validation Loss | Accuracy | Auc | F1 Fake |
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|:-------------:|:-----:|:----:|:---------------:|:--------:|:------:|:-------:|
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| No log | 1.0 | 11 | 0.3630 | 0.8579 | 0.9527 | 0.8454 |
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| No log | 2.0 | 22 | 0.2680 | 0.9114 | 0.9863 | 0.9166 |
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| No log | 3.0 | 33 | 0.3072 | 0.9123 | 0.9879 | 0.9178 |
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| No log | 4.0 | 44 | 0.2917 | 0.914 | 0.988 | 0.9193 |
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| 0.0568 | 5.0 | 55 | 0.2840 | 0.9132 | 0.988 | 0.9182 |
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### Framework versions
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- Transformers 5.5.4
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- Pytorch 2.11.0+cu130
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- Datasets 4.8.4
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- Tokenizers 0.22.2
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model.safetensors
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version https://git-lfs.github.com/spec/v1
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size 343223968
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version https://git-lfs.github.com/spec/v1
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size 343223968
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