| {"_num_labels": 95, "architectures": ["ElectraForTokenClassification"], "attention_probs_dropout_prob": 0.1, "embedding_size": 768, "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": {"0": "B-academic", "1": "B-academic_person", "2": "B-aircraft", "3": "B-album_person", "4": "B-anatomy", "5": "B-animal", "6": "B-architect_person", "7": "B-capital", "8": "B-chemical", "9": "B-clothes", "10": "B-country", "11": "B-culture", "12": "B-currency", "13": "B-date", "14": "B-food", "15": "B-genre", "16": "B-government", "17": "B-government_person", "18": "B-language", "19": "B-location", "20": "B-material", "21": "B-measure", "22": "B-medical", "23": "B-military", "24": "B-military_person", "25": "B-nation", "26": "B-newspaper", "27": "B-organization", "28": "B-organization_person", "29": "B-person", "30": "B-production_art_music", "31": "B-production_art_music_person", "32": "B-quantity", "33": "B-religion", "34": "B-science", "35": "B-shape", "36": "B-ship", "37": "B-software", "38": "B-space", "39": "B-space_person", "40": "B-sport", "41": "B-sport_name", "42": "B-sport_person", "43": "B-structure", "44": "B-subject", "45": "B-tech", "46": "B-train", "47": "B-vehicle", "48": "I-academic", "49": "I-academic_person", "50": "I-aircraft", "51": "I-album_person", "52": "I-anatomy", "53": "I-animal", "54": "I-architect_person", "55": "I-capital", "56": "I-chemical", "57": "I-clothes", "58": "I-country", "59": "I-culture", "60": "I-currency", "61": "I-date", "62": "I-food", "63": "I-genre", "64": "I-government", "65": "I-government_person", "66": "I-language", "67": "I-location", "68": "I-material", "69": "I-measure", "70": "I-medical", "71": "I-military", "72": "I-military_person", "73": "I-nation", "74": "I-newspaper", "75": "I-organization", "76": "I-organization_person", "77": "I-person", "78": "I-production_art_music", "79": "I-production_art_music_person", "80": "I-religion", "81": "I-science", "82": "I-ship", "83": "I-software", "84": "I-space", "85": "I-space_person", "86": "I-sport", "87": "I-sport_name", "88": "I-sport_person", "89": "I-structure", "90": "I-subject", "91": "I-tech", "92": "I-train", "93": "I-vehicle", "94": "O"}, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": {"B-academic": 0, "B-academic_person": 1, "B-aircraft": 2, "B-album_person": 3, "B-anatomy": 4, "B-animal": 5, "B-architect_person": 6, "B-capital": 7, "B-chemical": 8, "B-clothes": 9, "B-country": 10, "B-culture": 11, "B-currency": 12, "B-date": 13, "B-food": 14, "B-genre": 15, "B-government": 16, "B-government_person": 17, "B-language": 18, "B-location": 19, "B-material": 20, "B-measure": 21, "B-medical": 22, "B-military": 23, "B-military_person": 24, "B-nation": 25, "B-newspaper": 26, "B-organization": 27, "B-organization_person": 28, "B-person": 29, "B-production_art_music": 30, "B-production_art_music_person": 31, "B-quantity": 32, "B-religion": 33, "B-science": 34, "B-shape": 35, "B-ship": 36, "B-software": 37, "B-space": 38, "B-space_person": 39, "B-sport": 40, "B-sport_name": 41, "B-sport_person": 42, "B-structure": 43, "B-subject": 44, "B-tech": 45, "B-train": 46, "B-vehicle": 47, "I-academic": 48, "I-academic_person": 49, "I-aircraft": 50, "I-album_person": 51, "I-anatomy": 52, "I-animal": 53, "I-architect_person": 54, "I-capital": 55, "I-chemical": 56, "I-clothes": 57, "I-country": 58, "I-culture": 59, "I-currency": 60, "I-date": 61, "I-food": 62, "I-genre": 63, "I-government": 64, "I-government_person": 65, "I-language": 66, "I-location": 67, "I-material": 68, "I-measure": 69, "I-medical": 70, "I-military": 71, "I-military_person": 72, "I-nation": 73, "I-newspaper": 74, "I-organization": 75, "I-organization_person": 76, "I-person": 77, "I-production_art_music": 78, "I-production_art_music_person": 79, "I-religion": 80, "I-science": 81, "I-ship": 82, "I-software": 83, "I-space": 84, "I-space_person": 85, "I-sport": 86, "I-sport_name": 87, "I-sport_person": 88, "I-structure": 89, "I-subject": 90, "I-tech": 91, "I-train": 92, "I-vehicle": 93, "O": 94}, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "electra", "num_attention_heads": 12, "num_hidden_layers": 12, "output_past": true, "pad_token_id": 0, "summary_activation": "gelu", "summary_last_dropout": 0.1, "summary_type": "first", "summary_use_proj": true, "type_vocab_size": 2, "vocab_size": 32000} |