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trained_models/config.json

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+{
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "dtype": "float32",
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "fake",
+    "1": "real"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "fake": "0",
+    "real": "1"
+  },
+  "layer_norm_eps": 1e-12,
+  "model_type": "vit",
+  "num_attention_heads": 12,
+  "num_channels": 3,
+  "num_hidden_layers": 12,
+  "patch_size": 16,
+  "pooler_act": "tanh",
+  "pooler_output_size": 768,
+  "problem_type": "single_label_classification",
+  "qkv_bias": true,
+  "transformers_version": "5.0.0",
+  "use_cache": false
+}

trained_models/deepfake_densenet121_threshold.json

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+{
+  "threshold": 0.7596627473831177,
+  "label_mapping": {
+    "fake": 0,
+    "real": 1
+  },
+  "image_size": 224,
+  "score_meaning": "score >= threshold predicts real; score < threshold predicts fake"
+}

trained_models/densenet121_faces.pt

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+size 29474603

trained_models/densenet121_faces_meta.json

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+{
+  "threshold": 0.7596627473831177,
+  "image_size": 224,
+  "label_mapping": {
+    "fake": 0,
+    "real": 1
+  },
+  "score_meaning": "score >= threshold predicts real; score < threshold predicts fake",
+  "normalize_mean": [
+    0.485,
+    0.456,
+    0.406
+  ],
+  "normalize_std": [
+    0.229,
+    0.224,
+    0.225
+  ],
+  "source_keras": "deepfake_densenet121_high_acc.keras",
+  "architecture": "DenseNet121 + GlobalAvgPool + Linear(1024,256)+ReLU+BN+Dropout(0.3)+Linear(256,1)+Sigmoid"
+}

trained_models/model.safetensors

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+size 343223968

trained_models/training_args.bin

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