config.json

{
  "_name_or_path": "OpenGVLab/pvt_v2_b0",
  "architectures": [
    "PvtV2ForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "depths": [
    2,
    2,
    2,
    2
  ],
  "drop_path_rate": 0.0,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_sizes": [
    32,
    64,
    160,
    256
  ],
  "id2label": {
    "0": "avanzada",
    "1": "avanzada humeda",
    "2": "leve",
    "3": "moderada",
    "4": "no dmae"
  },
  "image_size": {
    "height": 224,
    "width": 224
  },
  "initializer_range": 0.02,
  "label2id": {
    "avanzada": 0,
    "avanzada humeda": 1,
    "leve": 2,
    "moderada": 3,
    "no dmae": 4
  },
  "layer_norm_eps": 1e-06,
  "linear_attention": false,
  "mlp_ratios": [
    8,
    8,
    4,
    4
  ],
  "model_type": "pvt_v2",
  "num_attention_heads": [
    1,
    2,
    5,
    8
  ],
  "num_channels": 3,
  "num_encoder_blocks": 4,
  "out_features": [
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "out_indices": [
    0,
    1,
    2,
    3
  ],
  "patch_sizes": [
    7,
    3,
    3,
    3
  ],
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "reshape_last_stage": true,
  "sr_ratios": [
    8,
    4,
    2,
    1
  ],
  "stage_names": [
    "stage1",
    "stage2",
    "stage3",
    "stage4"
  ],
  "strides": [
    4,
    2,
    2,
    2
  ],
  "torch_dtype": "float32",
  "transformers_version": "4.40.2"
}