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": "appreciate",
    "1": "askhelp",
    "2": "bye",
    "3": "change-topic",
    "4": "confirm",
    "5": "confusion",
    "6": "doubt",
    "7": "empathy",
    "8": "greeting",
    "9": "inform",
    "10": "insulted",
    "11": "problem",
    "12": "question",
    "13": "refuse",
    "14": "success",
    "15": "thanks",
    "16": "wish"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "appreciate": 0,
    "askhelp": 1,
    "insulted": 10,
    "problem": 11,
    "question": 12,
    "refuse": 13,
    "success": 14,
    "thanks": 15,
    "wish": 16,
    "bye": 2,
    "change-topic": 3,
    "confirm": 4,
    "confusion": 5,
    "doubt": 6,
    "empathy": 7,
    "greeting": 8,
    "inform": 9
  },
  "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": "4.47.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}