config.json

{
  "_num_labels": 17,
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "01000000",
    "1": "10000000",
    "2": "11000000",
    "3": "12000000",
    "4": "13000000",
    "5": "14000000",
    "6": "15000000",
    "7": "16000000",
    "8": "17000000",
    "9": "02000000",
    "10": "03000000",
    "11": "04000000",
    "12": "05000000",
    "13": "06000000",
    "14": "07000000",
    "15": "08000000",
    "16": "09000000"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "01000000": 0,
    "10000000": 1,
    "11000000": 2,
    "12000000": 3,
    "13000000": 4,
    "14000000": 5,
    "15000000": 6,
    "16000000": 7,
    "17000000": 8,
    "02000000": 9,
    "03000000": 10,
    "04000000": 11,
    "05000000": 12,
    "06000000": 13,
    "07000000": 14,
    "08000000": 15,
    "09000000": 16
  },
  "layer_norm_eps": 1e-12,
  "max_length": 64,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "padding": "max_length",
  "position_embedding_type": "absolute",
  "torch_dtype": "float32",
  "transformers_version": "4.22.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 31102,
  "organization": "NLP Odyssey"
}