config.json

{
  "_name_or_path": "distilbert/distilbert-base-uncased",
  "activation": "gelu",
  "architectures": [
    "DistilBertForSequenceClassification"
  ],
  "attention_dropout": 0.1,
  "dim": 768,
  "dropout": 0.1,
  "hidden_dim": 3072,
  "id2label": {
    "0": "customer service",
    "1": "cybersecurity",
    "2": "finance",
    "3": "human resources",
    "4": "information technology",
    "5": "legal",
    "6": "logistics",
    "7": "marketing",
    "8": "performance evaluation",
    "9": "product management",
    "10": "project management",
    "11": "risk and compliance",
    "12": "sales",
    "13": "strategy and planning",
    "14": "ethics"
  },
  "initializer_range": 0.02,
  "label2id": {
    "customer service": 0,
    "cybersecurity": 1,
    "ethics": 14,
    "finance": 2,
    "human resources": 3,
    "information technology": 4,
    "legal": 5,
    "logistics": 6,
    "marketing": 7,
    "performance evaluation": 8,
    "product management": 9,
    "project management": 10,
    "risk and compliance": 11,
    "sales": 12,
    "strategy and planning": 13
  },
  "max_position_embeddings": 512,
  "model_type": "distilbert",
  "n_heads": 12,
  "n_layers": 6,
  "pad_token_id": 0,
  "problem_type": "multi_label_classification",
  "qa_dropout": 0.1,
  "seq_classif_dropout": 0.2,
  "sinusoidal_pos_embds": false,
  "tie_weights_": true,
  "torch_dtype": "float32",
  "transformers_version": "4.39.3",
  "vocab_size": 30522
}