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model1

Image Segmentation
Transformers
PyTorch
segformer
vision
Generated from Trainer
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model1
File size: 1,826 Bytes 
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{
  "_name_or_path": "nvidia/mit-b2",
  "architectures": [
    "SegformerForSemanticSegmentation"
  ],
  "attention_probs_dropout_prob": 0.0,
  "classifier_dropout_prob": 0.1,
  "decoder_hidden_size": 768,
  "depths": [
    3,
    4,
    6,
    3
  ],
  "downsampling_rates": [
    1,
    4,
    8,
    16
  ],
  "drop_path_rate": 0.1,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_sizes": [
    64,
    128,
    320,
    512
  ],
  "id2label": {
    "0": "background",
    "1": "ship",
    "2": "small-vehicle",
    "3": "tennis-court",
    "4": "helicopter",
    "5": "basketball-court",
    "6": "ground-track-field",
    "7": "swimming-pool",
    "8": "harbor",
    "9": "soccer-ball-field",
    "10": "plane",
    "11": "storage-tank",
    "12": "baseball-diamond",
    "13": "large-vehicle",
    "14": "bridge",
    "15": "roundabout"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "background": "0",
    "baseball-diamond": "12",
    "basketball-court": "5",
    "bridge": "14",
    "ground-track-field": "6",
    "harbor": "8",
    "helicopter": "4",
    "large-vehicle": "13",
    "plane": "10",
    "roundabout": "15",
    "ship": "1",
    "small-vehicle": "2",
    "soccer-ball-field": "9",
    "storage-tank": "11",
    "swimming-pool": "7",
    "tennis-court": "3"
  },
  "layer_norm_eps": 1e-06,
  "mlp_ratios": [
    4,
    4,
    4,
    4
  ],
  "model_type": "segformer",
  "num_attention_heads": [
    1,
    2,
    5,
    8
  ],
  "num_channels": 3,
  "num_encoder_blocks": 4,
  "patch_sizes": [
    7,
    3,
    3,
    3
  ],
  "reshape_last_stage": true,
  "semantic_loss_ignore_index": 255,
  "sr_ratios": [
    8,
    4,
    2,
    1
  ],
  "strides": [
    4,
    2,
    2,
    2
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.35.0.dev0"
}