config.json

{
  "_name_or_path": "NbAiLab/nb-bert-large",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "need_divert",
    "1": "need_educate",
    "2": "need_inspire",
    "3": "need_perspective",
    "4": "need_trend",
    "5": "need_update"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "need_divert": "0",
    "need_educate": "1",
    "need_inspire": "2",
    "need_perspective": "3",
    "need_trend": "4",
    "need_update": "5"
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.17.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 50000
}