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Update config.json
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{
"_name_or_path": "microsoft/swin-tiny-patch4-window7-224",
"architectures": [
"SwinForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"depths": [
2,
2,
6,
2
],
"drop_path_rate": 0.1,
"embed_dim": 96,
"encoder_stride": 32,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 768,
"id2label": {
"0": "1_polyethylene_PET",
"1": "2_high_density_polyethylene_PE-HD",
"2": "3_polyvinylchloride_PVC",
"3": "4_low_density_polyethylene_PE-LD",
"4": "5_polypropylene_PP",
"5": "6_polystyrene_PS",
"6": "7_other_resins",
"7": "8_no_plastic"
},
"image_size": 224,
"initializer_range": 0.02,
"label2id": {
"1_polyethylene_PET": 0,
"2_high_density_polyethylene_PE-HD": 1,
"3_polyvinylchloride_PVC": 2,
"4_low_density_polyethylene_PE-LD": 3,
"5_polypropylene_PP": 4,
"6_polystyrene_PS": 5,
"7_other_resins": 6,
"8_no_plastic": 7
},
"layer_norm_eps": 1e-05,
"mlp_ratio": 4.0,
"model_type": "swin",
"num_channels": 3,
"num_heads": [
3,
6,
12,
24
],
"num_layers": 4,
"out_features": [
"stage4"
],
"out_indices": [
4
],
"patch_size": 4,
"path_norm": true,
"problem_type": "single_label_classification",
"qkv_bias": true,
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4"
],
"torch_dtype": "float32",
"transformers_version": "4.33.3",
"use_absolute_embeddings": false,
"window_size": 7
}