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pk3388
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cvt-13-finetuned-eurosat

Image Classification
Transformers
TensorBoard
Safetensors
cvt
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cvt-13-finetuned-eurosat
File size: 1,741 Bytes 
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{
  "_name_or_path": "microsoft/cvt-13",
  "architectures": [
    "CvtForImageClassification"
  ],
  "attention_drop_rate": [
    0.0,
    0.0,
    0.0
  ],
  "cls_token": [
    false,
    false,
    true
  ],
  "depth": [
    1,
    2,
    10
  ],
  "drop_path_rate": [
    0.0,
    0.0,
    0.1
  ],
  "drop_rate": [
    0.0,
    0.0,
    0.0
  ],
  "embed_dim": [
    64,
    192,
    384
  ],
  "id2label": {
    "0": "Audemars Piguet",
    "1": "Breguet",
    "2": "Breitling",
    "3": "Maurice Lacroix",
    "4": "Omega",
    "5": "Patek Philippe",
    "6": "Rado",
    "7": "Rolex",
    "8": "Tissot",
    "9": "Vacheron Constantin"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "kernel_qkv": [
    3,
    3,
    3
  ],
  "label2id": {
    "Audemars Piguet": 0,
    "Breguet": 1,
    "Breitling": 2,
    "Maurice Lacroix": 3,
    "Omega": 4,
    "Patek Philippe": 5,
    "Rado": 6,
    "Rolex": 7,
    "Tissot": 8,
    "Vacheron Constantin": 9
  },
  "layer_norm_eps": 1e-12,
  "mlp_ratio": [
    4.0,
    4.0,
    4.0
  ],
  "model_type": "cvt",
  "num_channels": 3,
  "num_heads": [
    1,
    3,
    6
  ],
  "num_stages": 3,
  "padding_kv": [
    1,
    1,
    1
  ],
  "padding_q": [
    1,
    1,
    1
  ],
  "patch_padding": [
    2,
    1,
    1
  ],
  "patch_sizes": [
    7,
    3,
    3
  ],
  "patch_stride": [
    4,
    2,
    2
  ],
  "pos_embed": [
    false,
    false,
    false
  ],
  "problem_type": "single_label_classification",
  "qkv_bias": [
    true,
    true,
    true
  ],
  "qkv_projection_method": [
    "dw_bn",
    "dw_bn",
    "dw_bn"
  ],
  "stride_kv": [
    2,
    2,
    2
  ],
  "stride_q": [
    1,
    1,
    1
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.40.0"
}