config.json

{
  "_name_or_path": "/content/drive/MyDrive/codebert/results/final_model",
  "architectures": [
    "RobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "Observer",
    "1": "Decorator",
    "2": "Adapter",
    "3": "Proxy",
    "4": "Singleton",
    "5": "Facade",
    "6": "AbstractFactory",
    "7": "Memento",
    "8": "FactoryMethod",
    "9": "Prototype",
    "10": "Visitor",
    "11": "Builder",
    "12": "None"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "AbstractFactory": 6,
    "Adapter": 2,
    "Builder": 11,
    "Decorator": 1,
    "Facade": 5,
    "FactoryMethod": 8,
    "Memento": 7,
    "None": 12,
    "Observer": 0,
    "Prototype": 9,
    "Proxy": 3,
    "Singleton": 4,
    "Visitor": 10
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "roberta",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.47.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}