config.json

{
  "_name_or_path": "microsoft/codebert-base",
  "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": "2-sat",
    "1": "binary search",
    "2": "bitmasks",
    "3": "brute force",
    "4": "combinatorics",
    "5": "constructive algorithms",
    "6": "data structures",
    "7": "dfs and similar",
    "8": "divide and conquer",
    "9": "dp",
    "10": "dsu",
    "11": "expression parsing",
    "12": "games",
    "13": "geometry",
    "14": "graphs",
    "15": "greedy",
    "16": "hashing",
    "17": "implementation",
    "18": "math",
    "19": "matrices",
    "20": "meet-in-the-middle",
    "21": "none",
    "22": "number theory",
    "23": "probabilities",
    "24": "schedules",
    "25": "shortest paths",
    "26": "sortings",
    "27": "strings",
    "28": "trees",
    "29": "two pointers"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "2-sat": 0,
    "binary search": 1,
    "bitmasks": 2,
    "brute force": 3,
    "combinatorics": 4,
    "constructive algorithms": 5,
    "data structures": 6,
    "dfs and similar": 7,
    "divide and conquer": 8,
    "dp": 9,
    "dsu": 10,
    "expression parsing": 11,
    "games": 12,
    "geometry": 13,
    "graphs": 14,
    "greedy": 15,
    "hashing": 16,
    "implementation": 17,
    "math": 18,
    "matrices": 19,
    "meet-in-the-middle": 20,
    "none": 21,
    "number theory": 22,
    "probabilities": 23,
    "schedules": 24,
    "shortest paths": 25,
    "sortings": 26,
    "strings": 27,
    "trees": 28,
    "two pointers": 29
  },
  "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": "multi_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.41.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}