| { | |
| "_name_or_path": "output_dir_XTBert", | |
| "alibi_starting_size": 512, | |
| "architectures": [ | |
| "BertForSequenceClassification" | |
| ], | |
| "attention_probs_dropout_prob": 0.0, | |
| "auto_map": { | |
| "AutoConfig": "configuration_bert.BertConfig", | |
| "AutoModelForMaskedLM": "xiaotinghe/XTBert--bert_layers.BertForMaskedLM", | |
| "AutoModelForSequenceClassification": "bert_layers.BertForSequenceClassification" | |
| }, | |
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| "directionality": "bidi", | |
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| "gradient_checkpointing": false, | |
| "hidden_act": "silu", | |
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| "hidden_size": 768, | |
| "id2label": { | |
| "0": "academic disciplines", | |
| "1": "business", | |
| "2": "code", | |
| "3": "communication", | |
| "4": "culture", | |
| "5": "economy", | |
| "6": "education", | |
| "7": "energy", | |
| "8": "engineering", | |
| "9": "entertainment", | |
| "10": "food and drink", | |
| "11": "geography", | |
| "12": "government", | |
| "13": "history", | |
| "14": "human behavior", | |
| "15": "humanities", | |
| "16": "information", | |
| "17": "internet", | |
| "18": "knowledge", | |
| "19": "language", | |
| "20": "law", | |
| "21": "life health", | |
| "22": "mass media", | |
| "23": "mathematics", | |
| "24": "military", | |
| "25": "nature", | |
| "26": "people", | |
| "27": "philosophy", | |
| "28": "politics", | |
| "29": "religion", | |
| "30": "science", | |
| "31": "society", | |
| "32": "sports", | |
| "33": "time" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 2048, | |
| "label2id": { | |
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| "food and drink": 10, | |
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| "government": 12, | |
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| "human behavior": 14, | |
| "humanities": 15, | |
| "information": 16, | |
| "internet": 17, | |
| "knowledge": 18, | |
| "language": 19, | |
| "law": 20, | |
| "life health": 21, | |
| "mass media": 22, | |
| "mathematics": 23, | |
| "military": 24, | |
| "nature": 25, | |
| "people": 26, | |
| "philosophy": 27, | |
| "politics": 28, | |
| "religion": 29, | |
| "science": 30, | |
| "society": 31, | |
| "sports": 32, | |
| "time": 33 | |
| }, | |
| "layer_norm_eps": 1e-12, | |
| "max_position_embeddings": 4096, | |
| "model_type": "bert", | |
| "num_attention_heads": 12, | |
| "num_hidden_layers": 12, | |
| "output_past": true, | |
| "pad_token_id": 1, | |
| "pooler_fc_size": 768, | |
| "pooler_num_attention_heads": 12, | |
| "pooler_num_fc_layers": 3, | |
| "pooler_size_per_head": 128, | |
| "pooler_type": "first_token_transform", | |
| "position_embedding_type": "absolute", | |
| "problem_type": "single_label_classification", | |
| "torch_dtype": "float32", | |
| "transformers_version": "4.33.2", | |
| "type_vocab_size": 2, | |
| "use_cache": true, | |
| "vocab_size": 39984 | |
| } | |