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README.md ADDED
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+
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+ ---
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+ tags:
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+ - autotrain
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+ - transformers
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+ - image-classification
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+ base_model: umm-maybe/AI-image-detector
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+ widget:
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/tiger.jpg
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+ example_title: Tiger
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/teapot.jpg
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+ example_title: Teapot
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+ - src: https://huggingface.co/datasets/mishig/sample_images/resolve/main/palace.jpg
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+ example_title: Palace
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+ datasets:
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+ - Clemylia/Orange-ou-tomate
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+ ---
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+
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+ # Model Trained Using AutoTrain
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+
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+ - Problem type: Image Classification
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+
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+ ## Validation Metrics
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+ No validation metrics available
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+ {
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+ "_name_or_path": "umm-maybe/AI-image-detector",
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+ "_num_labels": 2,
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+ "architectures": [
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+ "SwinForImageClassification"
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+ ],
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+ "hidden_act": "gelu",
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+ "hidden_size": 1024,
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+ "id2label": {
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+ "0": "oranges",
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+ "1": "tomates"
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+ },
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+ "image_size": 224,
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+ "initializer_range": 0.02,
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+ "oranges": 0,
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+ "tomates": 1
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+ },
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+ "model_type": "swin",
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+ "num_channels": 3,
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+ "stage4"
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+ ],
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+ "padding": "max_length",
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+ "path_norm": true,
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+ "problem_type": "single_label_classification",
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+ "qkv_bias": true,
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+ "stage_names": [
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+ "stem",
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+ "stage1",
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+ "stage2",
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+ "stage3",
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+ "stage4"
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+ ],
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+ "torch_dtype": "float32",
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+ "transformers_version": "4.48.0",
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+ "use_absolute_embeddings": false,
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+ "window_size": 7
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+ }
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+ {
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+ "data_path": "Clemylia/Orange-ou-tomate",
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+ "model": "umm-maybe/AI-image-detector",
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+ "username": "Clemylia",
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+ "lr": 5e-05,
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+ "eval_strategy": "epoch",
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+ "image_column": "image",
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+ "target_column": "label",
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+ "log": "tensorboard",
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+ "early_stopping_patience": 5,
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+ "early_stopping_threshold": 0.01
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+ }