config.json

{
  "_name_or_path": "bert-base-uncased",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Another_Study",
    "1": "Business_Administrative",
    "2": "Covid19",
    "3": "Endpoint_Met",
    "4": "Ethical_Reason",
    "5": "Insufficient_Data",
    "6": "Insufficient_Enrollment",
    "7": "Interim_Analysis",
    "8": "Invalid_Reason",
    "9": "Logistics_Resources",
    "10": "Negative",
    "11": "No_Context",
    "12": "Regulatory",
    "13": "Safety_Sideeffects",
    "14": "Study_Design",
    "15": "Study_Staff_Moved",
    "16": "Success"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Another_Study": 0,
    "Business_Administrative": 1,
    "Covid19": 2,
    "Endpoint_Met": 3,
    "Ethical_Reason": 4,
    "Insufficient_Data": 5,
    "Insufficient_Enrollment": 6,
    "Interim_Analysis": 7,
    "Invalid_Reason": 8,
    "Logistics_Resources": 9,
    "Negative": 10,
    "No_Context": 11,
    "Regulatory": 12,
    "Safety_Sideeffects": 13,
    "Study_Design": 14,
    "Study_Staff_Moved": 15,
    "Success": 16
  },
  "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": "4.26.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}