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{
  "_name_or_path": "ai-forever/ruRoberta-large",
  "architectures": [
    "RobertaForSequenceClassification"
  ],
  "attention_probs_dropout_prob": 0.1,
  "bos_token_id": 1,
  "classifier_dropout": null,
  "eos_token_id": 2,
  "gradient_checkpointing": false,
  "hidden_act": "gelu",
  "hidden_dropout_prob": 0.1,
  "hidden_size": 1024,
  "id2label": {
    "0": "Method",
    "1": "Activity",
    "2": "Science",
    "3": "Object",
    "4": "Person",
    "5": "InfoResource",
    "6": "Task",
    "7": "Organization",
    "8": "Environment",
    "9": "Model",
    "10": "Metric",
    "11": "Value",
    "12": "R-Application",
    "13": "Date",
    "14": "Lang",
    "15": "R-Dataset"
  },
  "initializer_range": 0.02,
  "intermediate_size": 4096,
  "label2id": {
    "Activity": 1,
    "Date": 13,
    "Environment": 8,
    "InfoResource": 5,
    "Lang": 14,
    "Method": 0,
    "Metric": 10,
    "Model": 9,
    "Object": 3,
    "Organization": 7,
    "Person": 4,
    "R-Application": 12,
    "R-Dataset": 15,
    "Science": 2,
    "Task": 6,
    "Value": 11
  },
  "layer_norm_eps": 1e-05,
  "max_position_embeddings": 514,
  "model_type": "roberta",
  "num_attention_heads": 16,
  "num_hidden_layers": 24,
  "pad_token_id": 1,
  "position_embedding_type": "absolute",
  "problem_type": "single_label_classification",
  "torch_dtype": "float32",
  "transformers_version": "4.38.2",
  "type_vocab_size": 1,
  "use_cache": true,
  "vocab_size": 50265
}