config.json

{
  "add_cross_attention": false,
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": null,
  "classifier_dropout": null,
  "dtype": "float32",
  "eos_token_id": null,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 512,
  "id2label": {
    "0": "Rust",
    "1": "Java",
    "2": "Dart",
    "3": "Python",
    "4": "Go",
    "5": "HTML",
    "6": "JavaScript",
    "7": "Typescript",
    "8": "C",
    "9": "CSS",
    "10": "C#",
    "11": "Markdown",
    "12": "Assembly",
    "13": "Lua",
    "14": "C++",
    "15": "Kotlin"
  },
  "initializer_range": 0.02,
  "intermediate_size": 2048,
  "is_decoder": false,
  "label2id": {
    "Assembly": 12,
    "C": 8,
    "C#": 10,
    "C++": 14,
    "CSS": 9,
    "Dart": 2,
    "Go": 4,
    "HTML": 5,
    "Java": 1,
    "JavaScript": 6,
    "Kotlin": 15,
    "Lua": 13,
    "Markdown": 11,
    "Python": 3,
    "Rust": 0,
    "Typescript": 7
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 8,
  "num_hidden_layers": 4,
  "pad_token_id": 0,
  "problem_type": "single_label_classification",
  "tie_word_embeddings": true,
  "transformers_version": "5.0.0",
  "type_vocab_size": 2,
  "use_cache": false,
  "vocab_size": 30522
}