DotCheck/finetuned-ai-detection

README.md

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+---
+library_name: transformers
+license: apache-2.0
+base_model: dima806/ai_vs_real_image_detection
+tags:
+- generated_from_trainer
+metrics:
+- accuracy
+model-index:
+- name: finetuned_model
+  results: []
+---
+
+<!-- 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. -->
+
+# finetuned_model
+
+This model is a fine-tuned version of [dima806/ai_vs_real_image_detection](https://huggingface.co/dima806/ai_vs_real_image_detection) on an unknown dataset.
+It achieves the following results on the evaluation set:
+- Loss: 0.0642
+- Accuracy: 0.9741
+
+## 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: 1e-05
+- train_batch_size: 512
+- eval_batch_size: 512
+- seed: 42
+- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
+- lr_scheduler_type: linear
+- num_epochs: 3
+
+### Training results
+
+| Training Loss | Epoch | Step | Validation Loss | Accuracy |
+|:-------------:|:-----:|:----:|:---------------:|:--------:|
+| No log        | 1.0   | 269  | 0.0882          | 0.9625   |
+| 0.11          | 2.0   | 538  | 0.0679          | 0.9722   |
+| 0.11          | 3.0   | 807  | 0.0642          | 0.9741   |
+
+
+### Framework versions
+
+- Transformers 4.54.1
+- Pytorch 2.6.0+cu124
+- Datasets 4.0.0
+- Tokenizers 0.21.4

config.json

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+{
+  "architectures": [
+    "ViTForImageClassification"
+  ],
+  "attention_probs_dropout_prob": 0.0,
+  "encoder_stride": 16,
+  "hidden_act": "gelu",
+  "hidden_dropout_prob": 0.0,
+  "hidden_size": 768,
+  "id2label": {
+    "0": "REAL",
+    "1": "FAKE"
+  },
+  "image_size": 224,
+  "initializer_range": 0.02,
+  "intermediate_size": 3072,
+  "label2id": {
+    "FAKE": 1,
+    "REAL": 0
+  },
+  "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,
+  "torch_dtype": "float32",
+  "transformers_version": "4.54.1"
+}

model.safetensors

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+size 343223968

training_args.bin

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