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  1. config.json +33 -0
  2. preprocessor_config.json +33 -0
  3. training_args.bin +3 -0
config.json ADDED
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+ {
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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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+ "dtype": "float32",
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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": "no_leak",
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+ "1": "leak"
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+ },
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+ "image_size": 224,
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+ "initializer_range": 0.02,
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+ "intermediate_size": 3072,
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+ "label2id": {
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+ "leak": 1,
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+ "no_leak": 0
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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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+ "pooler_act": "tanh",
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+ "pooler_output_size": 768,
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+ "problem_type": "single_label_classification",
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+ "qkv_bias": true,
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+ "transformers_version": "4.57.2"
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+ }
preprocessor_config.json ADDED
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+ {
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+ "crop_size": null,
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+ "data_format": "channels_first",
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+ "default_to_square": true,
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+ "device": null,
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+ "disable_grouping": null,
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+ "do_center_crop": null,
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+ "do_convert_rgb": null,
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+ "do_normalize": true,
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+ "do_pad": null,
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+ "do_rescale": true,
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+ "do_resize": true,
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+ "image_mean": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "image_processor_type": "ViTImageProcessorFast",
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+ "image_std": [
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+ 0.5,
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+ 0.5,
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+ 0.5
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+ ],
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+ "input_data_format": null,
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+ "pad_size": null,
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+ "resample": 2,
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+ "rescale_factor": 0.00392156862745098,
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+ "return_tensors": null,
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+ "size": {
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+ "height": 224,
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+ "width": 224
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+ }
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+ }
training_args.bin ADDED
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+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:033e5745693d92526a9365909b3d54ec3831b18b779964d8fc0979fae4914cfd
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+ size 5841