| { | |
| "_name_or_path": "C:\\Users\\Lenovo\\PycharmProjects\\pythonProject\\Legal NER", | |
| "architectures": [ | |
| "BertForTokenClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 1024, | |
| "id2label": { | |
| "0": "B-AN", | |
| "1": "B-EUN", | |
| "2": "B-GRT", | |
| "3": "B-GS", | |
| "4": "B-INN", | |
| "5": "B-LD", | |
| "6": "B-LDS", | |
| "7": "B-LIT", | |
| "8": "B-MRK", | |
| "9": "B-ORG", | |
| "10": "B-PER", | |
| "11": "B-RR", | |
| "12": "B-RS", | |
| "13": "B-ST", | |
| "14": "B-STR", | |
| "15": "B-UN", | |
| "16": "B-VO", | |
| "17": "B-VS", | |
| "18": "B-VT", | |
| "19": "I-AN", | |
| "20": "I-EUN", | |
| "21": "I-GRT", | |
| "22": "I-GS", | |
| "23": "I-INN", | |
| "24": "I-LD", | |
| "25": "I-LDS", | |
| "26": "I-LIT", | |
| "27": "I-MRK", | |
| "28": "I-ORG", | |
| "29": "I-PER", | |
| "30": "I-RR", | |
| "31": "I-RS", | |
| "32": "I-ST", | |
| "33": "I-STR", | |
| "34": "I-UN", | |
| "35": "I-VO", | |
| "36": "I-VS", | |
| "37": "I-VT", | |
| "38": "O" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 4096, | |
| "label2id": { | |
| "B-AN": 0, | |
| "B-EUN": 1, | |
| "B-GRT": 2, | |
| "B-GS": 3, | |
| "B-INN": 4, | |
| "B-LD": 5, | |
| "B-LDS": 6, | |
| "B-LIT": 7, | |
| "B-MRK": 8, | |
| "B-ORG": 9, | |
| "B-PER": 10, | |
| "B-RR": 11, | |
| "B-RS": 12, | |
| "B-ST": 13, | |
| "B-STR": 14, | |
| "B-UN": 15, | |
| "B-VO": 16, | |
| "B-VS": 17, | |
| "B-VT": 18, | |
| "I-AN": 19, | |
| "I-EUN": 20, | |
| "I-GRT": 21, | |
| "I-GS": 22, | |
| "I-INN": 23, | |
| "I-LD": 24, | |
| "I-LDS": 25, | |
| "I-LIT": 26, | |
| "I-MRK": 27, | |
| "I-ORG": 28, | |
| "I-PER": 29, | |
| "I-RR": 30, | |
| "I-RS": 31, | |
| "I-ST": 32, | |
| "I-STR": 33, | |
| "I-UN": 34, | |
| "I-VO": 35, | |
| "I-VS": 36, | |
| "I-VT": 37, | |
| "O": 38 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 16, | |
| "num_hidden_layers": 24, | |
| "pad_token_id": 0, | |
| "type_vocab_size": 2, | |
| "vocab_size": 31102 | |
| } | |