config.json

{
  "_name_or_path": "dbmdz/bert-base-german-uncased",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Veranstalter",
    "1": "Locations und R\u00e4ume",
    "2": "Catering",
    "3": "Agenturen",
    "4": "Technik, B\u00fchnen- und Messebau",
    "5": "Service",
    "6": "Vermittler/Management",
    "7": "Kreativ",
    "8": "Entertainment",
    "9": "Hersteller"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Agenturen": 3,
    "Catering": 2,
    "Entertainment": 8,
    "Hersteller": 9,
    "Kreativ": 7,
    "Locations und R\u00e4ume": 1,
    "Service": 5,
    "Technik, B\u00fchnen- und Messebau": 4,
    "Veranstalter": 0,
    "Vermittler/Management": 6
  },
  "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": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.48.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 31102
}