config.json

{
  "_name_or_path": "dbmdz/bert-base-italian-xxl-cased",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "ooc",
    "1": "deontologia",
    "2": "farmaci",
    "3": "privacy",
    "4": "organizzazione",
    "5": "territoriale",
    "6": "novitaincorso",
    "7": "peculiarita",
    "8": "glossario",
    "9": "formazione",
    "10": "collaborazioni",
    "11": "legali",
    "12": "soluzioni",
    "13": "interoperabilita",
    "14": "esigenzeidee",
    "15": "utilizzo"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "collaborazioni": 10,
    "deontologia": 1,
    "esigenzeidee": 14,
    "farmaci": 2,
    "formazione": 9,
    "glossario": 8,
    "interoperabilita": 13,
    "legali": 11,
    "novitaincorso": 6,
    "ooc": 0,
    "organizzazione": 4,
    "peculiarita": 7,
    "privacy": 3,
    "soluzioni": 12,
    "territoriale": 5,
    "utilizzo": 15
  },
  "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": "4.26.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 32102
}