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riss1025
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Dataset

Image Classification
Transformers
TensorBoard
Safetensors
swin
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Dataset
File size: 2,961 Bytes 
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{
  "_name_or_path": "fsuarez/autotrain-logo-identifier-90194144191",
  "architectures": [
    "SwinForImageClassification"
  ],
  "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": "Acer",
    "1": "Acura",
    "2": "Addidas",
    "3": "Ades",
    "4": "Adio",
    "5": "Cadillac",
    "6": "CalvinKlein",
    "7": "Canon",
    "8": "CocaColaZero",
    "9": "Coleman",
    "10": "Converse",
    "11": "CornFlakes",
    "12": "DominosPizza",
    "13": "Excel",
    "14": "GMC",
    "15": "Gillette",
    "16": "Google",
    "17": "HardRockCafe",
    "18": "Heineken",
    "19": "HewlettPackard",
    "20": "Hp",
    "21": "Huawei",
    "22": "Hyundai",
    "23": "IBM",
    "24": "Java",
    "25": "KFC",
    "26": "Kia",
    "27": "Kingston",
    "28": "LG",
    "29": "Lenovo",
    "30": "Lipton",
    "31": "Mattel",
    "32": "McDonalds",
    "33": "MercedesBenz",
    "34": "Motorola",
    "35": "Nestle",
    "36": "Nickelodeon",
    "37": "Nike",
    "38": "Pennzoil",
    "39": "Pepsi",
    "40": "Peugeot",
    "41": "Porsche",
    "42": "Samsung",
    "43": "SchneiderElectric",
    "44": "Shell",
    "45": "cocacola"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "Acer": "0",
    "Acura": "1",
    "Addidas": "2",
    "Ades": "3",
    "Adio": "4",
    "Cadillac": "5",
    "CalvinKlein": "6",
    "Canon": "7",
    "CocaColaZero": "8",
    "Coleman": "9",
    "Converse": "10",
    "CornFlakes": "11",
    "DominosPizza": "12",
    "Excel": "13",
    "GMC": "14",
    "Gillette": "15",
    "Google": "16",
    "HardRockCafe": "17",
    "Heineken": "18",
    "HewlettPackard": "19",
    "Hp": "20",
    "Huawei": "21",
    "Hyundai": "22",
    "IBM": "23",
    "Java": "24",
    "KFC": "25",
    "Kia": "26",
    "Kingston": "27",
    "LG": "28",
    "Lenovo": "29",
    "Lipton": "30",
    "Mattel": "31",
    "McDonalds": "32",
    "MercedesBenz": "33",
    "Motorola": "34",
    "Nestle": "35",
    "Nickelodeon": "36",
    "Nike": "37",
    "Pennzoil": "38",
    "Pepsi": "39",
    "Peugeot": "40",
    "Porsche": "41",
    "Samsung": "42",
    "SchneiderElectric": "43",
    "Shell": "44",
    "cocacola": "45"
  },
  "layer_norm_eps": 1e-05,
  "max_length": 128,
  "mlp_ratio": 4.0,
  "model_type": "swin",
  "num_channels": 3,
  "num_heads": [
    3,
    6,
    12,
    24
  ],
  "num_layers": 4,
  "out_features": [
    "stage4"
  ],
  "out_indices": [
    4
  ],
  "padding": "max_length",
  "patch_size": 4,
  "path_norm": true,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "stage_names": [
    "stem",
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.38.2",
  "use_absolute_embeddings": false,
  "window_size": 7
}