config.json

{
  "_name_or_path": "AutoNLP",
  "_num_labels": 24,
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "directionality": "bidi",
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "1.0",
    "1": "10.0",
    "2": "11.0",
    "3": "12.0",
    "4": "13.0",
    "5": "14.0",
    "6": "15.0",
    "7": "16.0",
    "8": "17.0",
    "9": "18.0",
    "10": "19.0",
    "11": "2.0",
    "12": "20.0",
    "13": "21.0",
    "14": "22.0",
    "15": "23.0",
    "16": "24.0",
    "17": "3.0",
    "18": "4.0",
    "19": "5.0",
    "20": "6.0",
    "21": "7.0",
    "22": "8.0",
    "23": "9.0"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "1.0": 0,
    "10.0": 1,
    "11.0": 2,
    "12.0": 3,
    "13.0": 4,
    "14.0": 5,
    "15.0": 6,
    "16.0": 7,
    "17.0": 8,
    "18.0": 9,
    "19.0": 10,
    "2.0": 11,
    "20.0": 12,
    "21.0": 13,
    "22.0": 14,
    "23.0": 15,
    "24.0": 16,
    "3.0": 17,
    "4.0": 18,
    "5.0": 19,
    "6.0": 20,
    "7.0": 21,
    "8.0": 22,
    "9.0": 23
  },
  "layer_norm_eps": 1e-12,
  "max_length": 192,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 0,
  "padding": "max_length",
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "transformers_version": "4.8.0",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 28996
}