config.json

{
  "_name_or_path": "diegokauer/int-pet-classifier-v2",
  "architectures": [
    "Swinv2ForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "depths": [
    2,
    2,
    18,
    2
  ],
  "drop_path_rate": 0.1,
  "embed_dim": 192,
  "encoder_stride": 32,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 1536,
  "id2label": {
    "0": "No Reportado",
    "1": "Cirug\u00eda",
    "2": "QMT",
    "3": "RadioTerapia",
    "4": "Cuidados Paliativos",
    "5": "Estudio Adicional",
    "6": "Otro"
  },
  "image_size": 256,
  "initializer_range": 0.02,
  "label2id": {
    "Cirug\u00eda": 1,
    "Cuidados Paliativos": 4,
    "Estudio Adicional": 5,
    "No Reportado": 0,
    "Otro": 6,
    "QMT": 2,
    "RadioTerapia": 3
  },
  "layer_norm_eps": 1e-05,
  "mlp_ratio": 4.0,
  "model_type": "swinv2",
  "num_channels": 3,
  "num_heads": [
    6,
    12,
    24,
    48
  ],
  "num_layers": 4,
  "patch_size": 4,
  "path_norm": true,
  "pretrained_window_sizes": [
    0,
    0,
    0,
    0
  ],
  "problem_type": "multi_label_classification",
  "qkv_bias": true,
  "torch_dtype": "float32",
  "transformers_version": "4.35.2",
  "use_absolute_embeddings": false,
  "window_size": 16
}