config.json

{
  "_name_or_path": "d071696/vit-finetune-scrap",
  "architectures": [
    "ViTForImageClassification"
  ],
  "attention_probs_dropout_prob": 0.0,
  "encoder_stride": 16,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.0,
  "hidden_size": 768,
  "id2label": {
    "0": "aluminium",
    "1": "batteries",
    "10": "takeaway cups",
    "2": "cardboard",
    "3": "disposable plates",
    "4": "glass",
    "5": "hard plastic",
    "6": "paper",
    "7": "paper towel",
    "8": "polystyrene",
    "9": "soft plastics"
  },
  "image_size": 224,
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "aluminium": "0",
    "batteries": "1",
    "cardboard": "2",
    "disposable plates": "3",
    "glass": "4",
    "hard plastic": "5",
    "paper": "6",
    "paper towel": "7",
    "polystyrene": "8",
    "soft plastics": "9",
    "takeaway cups": "10"
  },
  "layer_norm_eps": 1e-12,
  "model_type": "vit",
  "num_attention_heads": 12,
  "num_channels": 3,
  "num_hidden_layers": 12,
  "patch_size": 16,
  "problem_type": "single_label_classification",
  "qkv_bias": true,
  "torch_dtype": "float32",
  "transformers_version": "4.39.0"
}