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  1. .gitattributes +35 -35
  2. README.md +66 -0
  3. all_results.json +8 -0
  4. config.json +32 -0
  5. eval_results.json +8 -0
  6. model.safetensors +3 -0
  7. preprocessor_config.json +36 -0
  8. training_args.bin +3 -0
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README.md ADDED
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+ ---
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+ license: apache-2.0
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+ base_model: google/vit-base-patch16-384
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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: DeepFake-image-detection-ViT-384
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+ results: []
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+ ---
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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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+
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+ # DeepFake-image-detection-ViT-384
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+
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+ This model is a fine-tuned version of [google/vit-base-patch16-384](https://huggingface.co/google/vit-base-patch16-384) on an unknown dataset.
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+ It achieves the following results on the evaluation set:
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+ - Loss: 0.0272
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+ - Accuracy: 0.9911
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+
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+ ## Model description
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+
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+ More information needed
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+
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+ ## Intended uses & limitations
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+
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+ More information needed
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+
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+ ## Training and evaluation data
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+
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+ More information needed
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+
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+ ## Training procedure
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+
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+ ### Training hyperparameters
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+
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+ The following hyperparameters were used during training:
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+ - learning_rate: 3e-05
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+ - train_batch_size: 32
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+ - eval_batch_size: 32
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+ - seed: 42
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+ - gradient_accumulation_steps: 8
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+ - total_train_batch_size: 256
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+ - optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
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+ - lr_scheduler_type: cosine
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+ - lr_scheduler_warmup_ratio: 0.1
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+ - num_epochs: 2.5
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+ - mixed_precision_training: Native AMP
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+
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+ ### Training results
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+
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+ | Training Loss | Epoch | Step | Validation Loss | Accuracy |
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+ |:-------------:|:------:|:----:|:---------------:|:--------:|
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+ | 0.0037 | 0.9984 | 546 | 0.0272 | 0.9911 |
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+ | 0.0006 | 1.9986 | 1093 | 0.1121 | 0.9644 |
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+ | 0.0002 | 2.496 | 1365 | 0.1357 | 0.9582 |
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+
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+
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+ ### Framework versions
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+
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+ - Transformers 4.41.2
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+ - Pytorch 2.1.2
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+ - Datasets 2.19.2
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+ - Tokenizers 0.19.1
all_results.json ADDED
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+ {
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+ "epoch": 2.496,
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+ "eval_accuracy": 0.9910666666666667,
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+ "eval_loss": 0.027157384902238846,
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+ "eval_runtime": 543.4232,
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+ "eval_samples_per_second": 55.206,
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+ "eval_steps_per_second": 1.726
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+ }
config.json ADDED
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+ {
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+ "_name_or_path": "google/vit-base-patch16-384",
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+ "architectures": [
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+ "ViTForImageClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.0,
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+ "encoder_stride": 16,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.0,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "f",
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+ "1": "r"
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+ },
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+ "image_size": 384,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "fake": 0,
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+ "real": 1
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+ },
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+ "layer_norm_eps": 1e-12,
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+ "model_type": "vit",
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+ "num_attention_heads": 12,
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+ "num_channels": 3,
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+ "num_hidden_layers": 12,
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+ "patch_size": 16,
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+ "problem_type": "single_label_classification",
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+ "qkv_bias": true,
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.41.2"
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+ }
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+ {
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+ }
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