Upload 2 files
Browse files- config.json +68 -0
- preprocessor_config.json +23 -0
config.json
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{
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"_name_or_path": "Parveshiiii/Image-Classifier",
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"_num_labels": 2,
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"architectures": [
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"Swinv2ForImageClassification"
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],
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"attention_probs_dropout_prob": 0.0,
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"depths": [
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2,
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2,
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18,
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2
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],
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"drop_path_rate": 0.1,
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"embed_dim": 192,
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"encoder_stride": 32,
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"hidden_act": "gelu",
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"hidden_dropout_prob": 0.0,
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"hidden_size": 1536,
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"id2label": {
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"0": "artificial",
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"1": "real"
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},
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"image_size": 256,
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"initializer_range": 0.02,
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"label2id": {
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"artificial": 0,
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"real": 1
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},
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"layer_norm_eps": 1e-05,
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"mlp_ratio": 4.0,
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"model_type": "swinv2",
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"num_channels": 3,
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"num_heads": [
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6,
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12,
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24,
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48
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],
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"num_layers": 4,
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"out_features": [
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"stage4"
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],
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"out_indices": [
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4
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],
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"patch_size": 4,
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"path_norm": true,
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"pretrained_window_sizes": [
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12,
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12,
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12,
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6
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],
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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": 16
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}
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preprocessor_config.json
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{
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"do_convert_rgb": null,
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"do_normalize": true,
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"do_rescale": true,
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"do_resize": true,
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"image_mean": [
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0.485,
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0.456,
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0.406
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],
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"image_processor_type": "ViTImageProcessor",
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"image_std": [
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0.229,
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0.224,
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0.225
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],
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"resample": 3,
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"rescale_factor": 0.00392156862745098,
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"size": {
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"height": 256,
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"width": 256
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}
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}
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