swin-dog-food / config.json
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{
"_name_or_path": "microsoft/swinv2-base-patch4-window12-192-22k",
"architectures": [
"Swinv2ForImageClassification"
],
"attention_probs_dropout_prob": 0.0,
"depths": [
2,
2,
18,
2
],
"drop_path_rate": 0.1,
"embed_dim": 128,
"encoder_stride": 32,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.0,
"hidden_size": 1024,
"id2label": {
"0": 0,
"1": 1
},
"image_size": 192,
"initializer_range": 0.02,
"label2id": {
"0": 0,
"1": 1
},
"layer_norm_eps": 1e-05,
"mlp_ratio": 4.0,
"model_type": "swinv2",
"num_channels": 3,
"num_heads": [
4,
8,
16,
32
],
"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": 12
}