{ "_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 }