{
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "dtype": "float32",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Randomized-controlled trial (RCT)",
    "1": "Cohort study",
    "2": "Real-world study",
    "3": "Study protocol",
    "4": "Systematic review/meta-analysis",
    "5": "Qualitative Study",
    "6": "Case report",
    "7": "Case series",
    "8": "Other"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Case report": "6",
    "Case series": "7",
    "Cohort study": "1",
    "Other": "8",
    "Qualitative Study": "5",
    "Randomized-controlled trial (RCT)": "0",
    "Real-world study": "2",
    "Study protocol": "3",
    "Systematic review/meta-analysis": "4"
  },
  "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",
  "transformers_version": "4.57.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28895
}