config.json

{
  "_name_or_path": "bert-base-multilingual-cased",
  "architectures": [
    "BertForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "classifier_dropout": null,
  "directionality": "bidi",
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 768,
  "id2label": {
    "0": "\u0427\u0430\u0441\u0442\u0438\u0447\u043d\u043e \u043d\u0435\u0443\u0441\u0442\u0440\u043e\u0438\u043b",
    "1": "\u0411\u043e\u043b\u044c\u0448\u0438\u043d\u0441\u0442\u0432\u043e \u0443\u0441\u0442\u0440\u043e\u0438\u043b\u043e",
    "2": "\u041f\u043e\u043b\u043d\u043e\u0441\u0442\u044c\u044e \u043d\u0435\u0443\u0441\u0442\u0440\u043e\u0438\u043b",
    "3": "\u041d\u0435\u0439\u0442\u0440\u0430\u043b\u044c\u043d\u043e",
    "4": "\u041f\u043e\u043b\u043d\u043e\u0441\u0442\u044c\u044e \u0443\u0441\u0442\u0440\u043e\u0438\u043b\u043e"
  },
  "initializer_range": 0.02,
  "intermediate_size": 3072,
  "label2id": {
    "\u0411\u043e\u043b\u044c\u0448\u0438\u043d\u0441\u0442\u0432\u043e \u0443\u0441\u0442\u0440\u043e\u0438\u043b\u043e": 1,
    "\u041d\u0435\u0439\u0442\u0440\u0430\u043b\u044c\u043d\u043e": 3,
    "\u041f\u043e\u043b\u043d\u043e\u0441\u0442\u044c\u044e \u043d\u0435\u0443\u0441\u0442\u0440\u043e\u0438\u043b": 2,
    "\u041f\u043e\u043b\u043d\u043e\u0441\u0442\u044c\u044e \u0443\u0441\u0442\u0440\u043e\u0438\u043b\u043e": 4,
    "\u0427\u0430\u0441\u0442\u0438\u0447\u043d\u043e \u043d\u0435\u0443\u0441\u0442\u0440\u043e\u0438\u043b": 0
  },
  "layer_norm_eps": 1e-12,
  "max_position_embeddings": 512,
  "model_type": "bert",
  "num_attention_heads": 12,
  "num_hidden_layers": 12,
  "pad_token_id": 0,
  "pooler_fc_size": 768,
  "pooler_num_attention_heads": 12,
  "pooler_num_fc_layers": 3,
  "pooler_size_per_head": 128,
  "pooler_type": "first_token_transform",
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.35.2",
  "type_vocab_size": 2,
  "use_cache": true,
  "vocab_size": 119547
}