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": "synthetic aperture radar",
    "1": "access point",
    "2": "multiple parallel instances",
    "3": "deep belief network",
    "4": "controlled natural language",
    "5": "sensing application recently",
    "6": "particle swarm optimization",
    "7": "transformation error",
    "8": "message passing interface",
    "9": "certain natural language"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "access point": 1,
    "certain natural language": 9,
    "controlled natural language": 4,
    "deep belief network": 3,
    "message passing interface": 8,
    "multiple parallel instances": 2,
    "particle swarm optimization": 6,
    "sensing application recently": 5,
    "synthetic aperture radar": 0,
    "transformation error": 7
  },
  "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",
  "transformers_version": "4.34.1",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 30522
}