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": "greeting",
    "1": "goodbye",
    "2": "thanks",
    "3": "jokes",
    "4": "Identity",
    "5": "datetime",
    "6": "haha",
    "7": "programmer",
    "8": "insult",
    "9": "exclaim",
    "10": "inspire",
    "11": "greet_reply",
    "12": "age",
    "13": "help",
    "14": "sad",
    "15": "stressed",
    "16": "fallback",
    "17": "faq"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "Identity": 4,
    "age": 12,
    "datetime": 5,
    "exclaim": 9,
    "fallback": 16,
    "faq": 17,
    "goodbye": 1,
    "greet_reply": 11,
    "greeting": 0,
    "haha": 6,
    "help": 13,
    "inspire": 10,
    "insult": 8,
    "jokes": 3,
    "programmer": 7,
    "sad": 14,
    "stressed": 15,
    "thanks": 2
  },
  "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",
  "torch_dtype": "float32",
  "transformers_version": "4.42.4",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}