config.json

{
  "_name_or_path": "xlm-roberta-large",
  "architectures": [
    "XLMRobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 0,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "finetuning_task": "vtoc",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "LABEL_0",
    "1": "LABEL_1",
    "2": "LABEL_2",
    "3": "LABEL_3",
    "4": "LABEL_4",
    "5": "LABEL_5",
    "6": "LABEL_6",
    "7": "LABEL_7",
    "8": "LABEL_8",
    "9": "LABEL_9",
    "10": "LABEL_10",
    "11": "LABEL_11",
    "12": "LABEL_12",
    "13": "LABEL_13",
    "14": "LABEL_14"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "Automobile": 0,
    "Business": 1,
    "Digital": 2,
    "Education": 3,
    "Entertainment": 4,
    "Health": 5,
    "Law": 6,
    "Life": 7,
    "News": 8,
    "Perspective": 9,
    "Relax": 10,
    "Science": 11,
    "Sports": 12,
    "Travel": 13,
    "World": 14
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "xlm-roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "output_past": true,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.36.0",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}