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{
"Backbone_type": "VSSM_S_ST_Diff",
"_name_or_path": "archived/minenetcd_upernet_VSSM_S_ST_Diff_Pretrained_ChannelMixing_Dropout",
"architectures": [
"UperNetForSemanticSegmentation"
],
"auxiliary_channels": 256,
"auxiliary_concat_input": false,
"auxiliary_in_channels": 384,
"auxiliary_loss_weight": 0.4,
"auxiliary_num_convs": 1,
"backbone_config": {
"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,
"image_size": 224,
"initializer_range": 0.02,
"layer_norm_eps": 1e-05,
"mlp_ratio": 4.0,
"model_type": "swin",
"num_heads": [
3,
6,
12,
24
],
"num_layers": 4,
"out_features": [
"stage1",
"stage2",
"stage3",
"stage4"
],
"out_indices": [
1,
2,
3,
4
],
"patch_size": 4,
"path_norm": true,
"qkv_bias": true,
"use_absolute_embeddings": false,
"window_size": 7
},
"channel_mixing": true,
"hidden_size": 512,
"initializer_range": 0.02,
"loss_ignore_index": 255,
"model_type": "upernet",
"pool_scales": [
1,
2,
3,
6
],
"torch_dtype": "float32",
"transformers_version": "4.36.0",
"use_auxiliary_head": true
}