config.json

{
  "_name_or_path": "./distilbert_final/distilbert_finetuned",
  "activation": "gelu",
  "architectures": [
    "DistilBertForSequenceClassification"
  ],
  "attention_dropout": 0.1,
  "dim": 768,
  "dropout": 0.1,
  "hidden_dim": 3072,
  "id2label": {
    "0": "anderen opleiden",
    "1": "anderen opvolgen",
    "2": "anderen sturen",
    "3": "bedrijfsregels naleven",
    "4": "bedrijfsveiligheid garanderen",
    "5": "beroep doen op stakeholders",
    "6": "collectieve werkattitude",
    "7": "expertise toepassen",
    "8": "gegevens analyseren",
    "9": "gegevens manipuleren",
    "10": "gegevens opvolgen",
    "11": "gegevens raadplegen",
    "12": "gegevens registreren",
    "13": "gegevens synthetiseren",
    "14": "individuele werkattitude",
    "15": "instrument bedienen",
    "16": "instrument behandelen",
    "17": "instrument bijwerken",
    "18": "instrument instellen",
    "19": "instrument onderhouden",
    "20": "persoonlijkheid",
    "21": "prestatiegerichte input geven",
    "22": "projecten bijsturen",
    "23": "projecten opvolgen",
    "24": "projecten organiseren",
    "25": "projecten sturen",
    "26": "rapporteren aan stakeholders",
    "27": "samenwerken met stakeholders",
    "28": "taakgerichte input geven"
  },
  "initializer_range": 0.02,
  "label2id": {
    "LABEL_0": 0,
    "LABEL_1": 1,
    "LABEL_10": 10,
    "LABEL_11": 11,
    "LABEL_12": 12,
    "LABEL_13": 13,
    "LABEL_14": 14,
    "LABEL_15": 15,
    "LABEL_16": 16,
    "LABEL_17": 17,
    "LABEL_18": 18,
    "LABEL_19": 19,
    "LABEL_2": 2,
    "LABEL_20": 20,
    "LABEL_21": 21,
    "LABEL_22": 22,
    "LABEL_23": 23,
    "LABEL_24": 24,
    "LABEL_25": 25,
    "LABEL_26": 26,
    "LABEL_27": 27,
    "LABEL_28": 28,
    "LABEL_3": 3,
    "LABEL_4": 4,
    "LABEL_5": 5,
    "LABEL_6": 6,
    "LABEL_7": 7,
    "LABEL_8": 8,
    "LABEL_9": 9
  },
  "max_position_embeddings": 512,
  "model_type": "distilbert",
  "n_heads": 12,
  "n_layers": 6,
  "pad_token_id": 0,
  "problem_type": "single_label_classification",
  "qa_dropout": 0.1,
  "seq_classif_dropout": 0.2,
  "sinusoidal_pos_embds": false,
  "tie_weights_": true,
  "torch_dtype": "float32",
  "transformers_version": "4.21.3",
  "vocab_size": 30522
}