config.json

{
  "architectures": [
    "SwinForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "depths": [
    2,
    2,
    6,
    2
  ],
  "drop_path_rate": 0.1,
  "embed_dim": 96,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "id2label": {
    "0": "Fountain pen,Ink pen",
    "1": "Multicolor ballpen",
    "2": "Notebook",
    "3": "Pen spare parts",
    "4": "Fountain pen spare parts",
    "5": "Fountain ink, Drawing ink",
    "6": "Rollerball pen",
    "7": "Old ink pen",
    "8": "Ballpoint pen",
    "9": "Dye ink, Endorsing ink"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "label2id": {
    "Fountain pen,Ink pen": 0,
    "Multicolor ballpen": 1,
    "Notebook": 2,
    "Pen spare parts": 3,
    "Fountain pen spare parts": 4,
    "Fountain ink, Drawing ink": 5,
    "Rollerball pen": 6,
    "Old ink pen": 7,
    "Ballpoint pen": 8,
    "Dye ink, Endorsing ink": 9
  },
  "layer_norm_eps": 1e-05,
  "mlp_ratio": 4.0,
  "model_type": "swin",
  "num_channels": 3,
  "num_heads": [
    3,
    6,
    12,
    24
  ],
  "num_layers": 4,
  "patch_size": 4,
  "path_norm": true,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "torch_dtype": "float32",
  "transformers_version": "4.25.1",
  "use_absolute_embeddings": false,
  "window_size": 7
}