config.json

{
  "_name_or_path": "./data/foodbert_data/mlm_output/checkpoint-final",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Vegetables",
    "1": "Fish/Seafood",
    "2": "Meat",
    "3": "Fermented",
    "4": "Cereals",
    "5": "Dessert",
    "6": "Eggs and dairy",
    "7": "Fats and oils",
    "8": "Fruits",
    "9": "Herbs",
    "10": "Nuts",
    "11": "Pulses",
    "12": "Spices"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Cereals": 4,
    "Dessert": 5,
    "Eggs and dairy": 6,
    "Fats and oils": 7,
    "Fermented": 3,
    "Fish/Seafood": 1,
    "Fruits": 8,
    "Herbs": 9,
    "Meat": 2,
    "Nuts": 10,
    "Pulses": 11,
    "Spices": 12,
    "Vegetables": 0
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.25.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 33247
}