config.json

{
  "_name_or_path": "TinyPubMedBERT-epoch3-41k",
  "architectures": [
    "BertForMultiLableTokenClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "cell": {},
  "emb_size": 312,
  "finetuning_task": "ner",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 312,
  "id2label": {
    "0": 0,
    "1": 1,
    "2": 2,
    "3": 3,
    "4": 4,
    "5": 5,
    "6": 6,
    "7": 7,
    "8": 8,
    "9": 9,
    "10": 10,
    "11": 11,
    "12": 12
  },
  "initializer_range": 0.02,
  "intermediate_size": 1200,
  "label2id": {
    "0": 0,
    "1": 1,
    "2": 2,
    "3": 3,
    "4": 4,
    "5": 5,
    "6": 6,
    "7": 7,
    "8": 8,
    "9": 9,
    "10": 10,
    "11": 11,
    "12": 12
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 4,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "pre_trained": "",
  "structure": [],
  "torch_dtype": "float32",
  "training": "",
  "transformers_version": "4.9.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}