| { | |
| "_name_or_path": "AutoTrain", | |
| "_num_labels": 47, | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.1, | |
| "classifier_dropout": null, | |
| "gradient_checkpointing": false, | |
| "hidden_act": "gelu", | |
| "hidden_dropout_prob": 0.1, | |
| "hidden_size": 768, | |
| "id2label": { | |
| "0": "abb", | |
| "1": "animal", | |
| "2": "body", | |
| "3": "city", | |
| "4": "code", | |
| "5": "color", | |
| "6": "count", | |
| "7": "country", | |
| "8": "cremat", | |
| "9": "currency", | |
| "10": "date", | |
| "11": "def", | |
| "12": "desc", | |
| "13": "dismed", | |
| "14": "dist", | |
| "15": "event", | |
| "16": "exp", | |
| "17": "food", | |
| "18": "gr", | |
| "19": "ind", | |
| "20": "instru", | |
| "21": "lang", | |
| "22": "letter", | |
| "23": "manner", | |
| "24": "money", | |
| "25": "mount", | |
| "26": "ord", | |
| "27": "other", | |
| "28": "perc", | |
| "29": "period", | |
| "30": "plant", | |
| "31": "product", | |
| "32": "reason", | |
| "33": "religion", | |
| "34": "speed", | |
| "35": "sport", | |
| "36": "state", | |
| "37": "substance", | |
| "38": "symbol", | |
| "39": "techmeth", | |
| "40": "temp", | |
| "41": "termeq", | |
| "42": "title", | |
| "43": "veh", | |
| "44": "volsize", | |
| "45": "weight", | |
| "46": "word" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
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| "body": 2, | |
| "city": 3, | |
| "code": 4, | |
| "color": 5, | |
| "count": 6, | |
| "country": 7, | |
| "cremat": 8, | |
| "currency": 9, | |
| "date": 10, | |
| "def": 11, | |
| "desc": 12, | |
| "dismed": 13, | |
| "dist": 14, | |
| "event": 15, | |
| "exp": 16, | |
| "food": 17, | |
| "gr": 18, | |
| "ind": 19, | |
| "instru": 20, | |
| "lang": 21, | |
| "letter": 22, | |
| "manner": 23, | |
| "money": 24, | |
| "mount": 25, | |
| "ord": 26, | |
| "other": 27, | |
| "perc": 28, | |
| "period": 29, | |
| "plant": 30, | |
| "product": 31, | |
| "reason": 32, | |
| "religion": 33, | |
| "speed": 34, | |
| "sport": 35, | |
| "state": 36, | |
| "substance": 37, | |
| "symbol": 38, | |
| "techmeth": 39, | |
| "temp": 40, | |
| "termeq": 41, | |
| "title": 42, | |
| "veh": 43, | |
| "volsize": 44, | |
| "weight": 45, | |
| "word": 46 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_length": 64, | |
| "max_position_embeddings": 512, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "pad_token_id": 0, | |
| "padding": "max_length", | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.15.0", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 30522 | |
| } | |