config.json

{
  "_name_or_path": "FacebookAI/xlm-roberta-base",
  "architectures": [
    "XLMRobertaForSequenceClassification"
  ],
  "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": "\u4e0d\u597d\u5f00\u53e3",
    "1": "\u5b89\u6170\u9f13\u52b1",
    "2": "\u5ba2\u5957\u56de\u5e94",
    "3": "\u611f\u8c22",
    "4": "\u62d2\u7edd",
    "5": "\u65e5\u5e38\u751f\u6d3b",
    "6": "\u7231\u610f\u3001\u60f3\u5ff5\u4e0e\u4eb2\u5bc6\u5173\u7cfb",
    "7": "\u7591\u95ee",
    "8": "\u795d\u798f",
    "9": "\u79f0\u8d5e",
    "10": "\u7b26\u53f7\u4e0e\u8bed\u6c14\u8bcd",
    "11": "\u8868\u8fbe\u60c5\u7eea",
    "12": "\u8bed\u4e49\u4e0d\u5b8c\u6574",
    "13": "\u8d1f\u9762\u653b\u51fb",
    "14": "\u9053\u6b49",
    "15": "\u95ee\u5019\u5bd2\u6684"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "\u4e0d\u597d\u5f00\u53e3": 0,
    "\u5b89\u6170\u9f13\u52b1": 1,
    "\u5ba2\u5957\u56de\u5e94": 2,
    "\u611f\u8c22": 3,
    "\u62d2\u7edd": 4,
    "\u65e5\u5e38\u751f\u6d3b": 5,
    "\u7231\u610f\u3001\u60f3\u5ff5\u4e0e\u4eb2\u5bc6\u5173\u7cfb": 6,
    "\u7591\u95ee": 7,
    "\u795d\u798f": 8,
    "\u79f0\u8d5e": 9,
    "\u7b26\u53f7\u4e0e\u8bed\u6c14\u8bcd": 10,
    "\u8868\u8fbe\u60c5\u7eea": 11,
    "\u8bed\u4e49\u4e0d\u5b8c\u6574": 12,
    "\u8d1f\u9762\u653b\u51fb": 13,
    "\u9053\u6b49": 14,
    "\u95ee\u5019\u5bd2\u6684": 15
  },
  "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",
  "torch_dtype": "float32",
  "transformers_version": "4.47.1",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 250002
}