Model save

README.md

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+---
+license: apache-2.0
+base_model: dima806/deepfake_vs_real_image_detection
+tags:
+- generated_from_trainer
+datasets:
+- imagefolder
+metrics:
+- accuracy
+model-index:
+- name: realFake-img
+  results:
+  - task:
+      name: Image Classification
+      type: image-classification
+    dataset:
+      name: imagefolder
+      type: imagefolder
+      config: default
+      split: train
+      args: default
+    metrics:
+    - name: Accuracy
+      type: accuracy
+      value: 0.8654545454545455
+---
+
+<!-- This model card has been generated automatically according to the information the Trainer had access to. You
+should probably proofread and complete it, then remove this comment. -->
+
+# realFake-img
+
+This model is a fine-tuned version of [dima806/deepfake_vs_real_image_detection](https://huggingface.co/dima806/deepfake_vs_real_image_detection) on the imagefolder dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.4350
+- Accuracy: 0.8655
+
+## Model description
+
+More information needed
+
+## Intended uses & limitations
+
+More information needed
+
+## Training and evaluation data
+
+More information needed
+
+## Training procedure
+
+### Training hyperparameters
+
+The following hyperparameters were used during training:
+- learning_rate: 0.0002
+- train_batch_size: 16
+- eval_batch_size: 8
+- seed: 42
+- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
+- lr_scheduler_type: linear
+- num_epochs: 4
+- mixed_precision_training: Native AMP
+
+### Training results
+
+| Training Loss | Epoch  | Step | Validation Loss | Accuracy |
+|:-------------:|:------:|:----:|:---------------:|:--------:|
+| 0.4892        | 0.2564 | 100  | 0.5756          | 0.7227   |
+| 0.683         | 0.5128 | 200  | 0.6742          | 0.6373   |
+| 0.3737        | 0.7692 | 300  | 0.5462          | 0.7555   |
+| 0.3554        | 1.0256 | 400  | 0.4354          | 0.8009   |
+| 0.2368        | 1.2821 | 500  | 0.4046          | 0.8309   |
+| 0.3696        | 1.5385 | 600  | 0.5547          | 0.7809   |
+| 0.2824        | 1.7949 | 700  | 0.3329          | 0.8518   |
+| 0.2366        | 2.0513 | 800  | 0.4582          | 0.8255   |
+| 0.2212        | 2.3077 | 900  | 0.4885          | 0.8255   |
+| 0.2031        | 2.5641 | 1000 | 0.4282          | 0.8564   |
+| 0.1717        | 2.8205 | 1100 | 0.4373          | 0.85     |
+| 0.1303        | 3.0769 | 1200 | 0.3659          | 0.8718   |
+| 0.0889        | 3.3333 | 1300 | 0.3663          | 0.8736   |
+| 0.1157        | 3.5897 | 1400 | 0.4588          | 0.8436   |
+| 0.1215        | 3.8462 | 1500 | 0.4350          | 0.8655   |
+
+
+### Framework versions
+
+- Transformers 4.42.4
+- Pytorch 2.4.0+cu121
+- Datasets 2.21.0
+- Tokenizers 0.19.1

config.json

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+{
+  "_name_or_path": "dima806/deepfake_vs_real_image_detection",
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "AiArtData",
+    "1": "RealArt"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "AiArtData": "0",
+    "RealArt": "1"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "torch_dtype": "float32",
+  "transformers_version": "4.42.4"
+}

model.safetensors

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+version https://git-lfs.github.com/spec/v1
+oid sha256:6117692cdc1f7f9d4df4e0157ae89b660794059f08686bfe7ea2acee9bb72297
+size 343223968

preprocessor_config.json

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+{
+  "do_normalize": true,
+  "do_rescale": true,
+  "do_resize": true,
+  "image_mean": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "image_processor_type": "ViTFeatureExtractor",
+  "image_std": [
+    0.5,
+    0.5,
+    0.5
+  ],
+  "resample": 2,
+  "rescale_factor": 0.00392156862745098,
+  "size": {
+    "height": 224,
+    "width": 224
+  }
+}

runs/Sep04_16-25-43_eec317420151/events.out.tfevents.1725467165.eec317420151.967.0

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+size 42975

training_args.bin

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