config.json

{
  "architectures": [
    "XLMRobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "dtype": "float32",
  "eos_token_id": 2,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "indonesian",
    "1": "acehnese",
    "2": "balinese",
    "3": "banjarese",
    "4": "buginese",
    "5": "javanese",
    "6": "madurese",
    "7": "minangkabau",
    "8": "ngaju",
    "9": "sundanese",
    "10": "toba_batak",
    "11": "english"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "acehnese": 1,
    "balinese": 2,
    "banjarese": 3,
    "buginese": 4,
    "english": 11,
    "indonesian": 0,
    "javanese": 5,
    "madurese": 6,
    "minangkabau": 7,
    "ngaju": 8,
    "sundanese": 9,
    "toba_batak": 10
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-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",
  "transformers_version": "4.57.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}