SwinV2-30VNFood / config.json
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{
"_name_or_path": "microsoft/swinv2-tiny-patch4-window16-256",
"architectures": [
"Swinv2ForImageClassification"
],
"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": 0,
"1": 1,
"2": 2,
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"16": 16,
"17": 17,
"18": 18,
"19": 19,
"20": 20,
"21": 21,
"22": 22,
"23": 23,
"24": 24,
"25": 25,
"26": 26,
"27": 27,
"28": 28,
"29": 29
},
"image_size": 256,
"initializer_range": 0.02,
"label2id": {
"0": 0,
"1": 1,
"2": 2,
"3": 3,
"4": 4,
"5": 5,
"6": 6,
"7": 7,
"8": 8,
"9": 9,
"10": 10,
"11": 11,
"12": 12,
"13": 13,
"14": 14,
"15": 15,
"16": 16,
"17": 17,
"18": 18,
"19": 19,
"20": 20,
"21": 21,
"22": 22,
"23": 23,
"24": 24,
"25": 25,
"26": 26,
"27": 27,
"28": 28,
"29": 29
},
"layer_norm_eps": 1e-05,
"mlp_ratio": 4.0,
"model_type": "swinv2",
"num_channels": 3,
"num_heads": [
3,
6,
12,
24
],
"num_layers": 4,
"out_features": [
"stage4"
],
"out_indices": [
4
],
"patch_size": 4,
"path_norm": true,
"pretrained_window_sizes": [
0,
0,
0,
0
],
"problem_type": "single_label_classification",
"qkv_bias": true,
"stage_names": [
"stem",
"stage1",
"stage2",
"stage3",
"stage4"
],
"torch_dtype": "float32",
"transformers_version": "4.39.3",
"use_absolute_embeddings": false,
"window_size": 16
}