config.json

{
  "_name_or_path": "albert-base-v2",
  "architectures": [
    "AlbertForTokenClassification"
  ],
  "attention_probs_dropout_prob": 0,
  "bos_token_id": 2,
  "classifier_dropout_prob": 0.1,
  "down_scale_factor": 1,
  "embedding_size": 128,
  "eos_token_id": 3,
  "gap_size": 0,
  "hidden_act": "gelu_new",
  "hidden_dropout_prob": 0,
  "hidden_size": 768,
  "id2label": {
    "0": "O",
    "1": "B-ADR",
    "2": "I-ADR",
    "3": "B-Drug",
    "4": "I-Drug",
    "5": "B-Disease",
    "6": "I-Disease",
    "7": "B-Symptom",
    "8": "I-Symptom",
    "9": "B-Finding",
    "10": "I-Finding"
  },
  "initializer_range": 0.02,
  "inner_group_num": 1,
  "intermediate_size": 3072,
  "label2id": {
    "B-ADR": 1,
    "B-Disease": 5,
    "B-Drug": 3,
    "B-Finding": 9,
    "B-Symptom": 7,
    "I-ADR": 2,
    "I-Disease": 6,
    "I-Drug": 4,
    "I-Finding": 10,
    "I-Symptom": 8,
    "O": 0
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "albert",
  "net_structure_type": 0,
  "num_attention_heads": 12,
  "num_hidden_groups": 1,
  "num_hidden_layers": 12,
  "num_memory_blocks": 0,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.35.2",
  "type_vocab_size": 2,
  "vocab_size": 30000
}