{ "_name_or_path": "allenai/scibert_scivocab_uncased", "architectures": [ "BertForSequenceClassification" ], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": { "0": "csrf", "1": "directory_traversal", "2": "file_inclusion", "3": "input_validation", "4": "memory_corruption", "5": "open_redirect", "6": "overflow", "7": "sql_injection", "8": "ssrf", "9": "xss", "10": "xxe" }, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "csrf": 0, "directory_traversal": 1, "file_inclusion": 2, "input_validation": 3, "memory_corruption": 4, "open_redirect": 5, "overflow": 6, "sql_injection": 7, "ssrf": 8, "xss": 9, "xxe": 10 }, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "num_attention_heads": 12, "num_hidden_layers": 12, "pad_token_id": 0, "position_embedding_type": "absolute", "problem_type": "single_label_classification", "torch_dtype": "float32", "transformers_version": "4.38.2", "type_vocab_size": 2, "use_cache": true, "vocab_size": 31090 }