{ "architectures": [ "BertForSequenceClassification" ], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "directionality": "bidi", "dtype": "float32", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": { "0": "\u4f24\u5fc3", "1": "\u5173\u5fc3", "2": "\u538c\u6076", "3": "\u5e73\u9759", "4": "\u60ca\u8bb6", "5": "\u5f00\u5fc3", "6": "\u751f\u6c14", "7": "\u7591\u95ee" }, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "\u4f24\u5fc3": 0, "\u5173\u5fc3": 1, "\u538c\u6076": 2, "\u5e73\u9759": 3, "\u5f00\u5fc3": 5, "\u60ca\u8bb6": 4, "\u751f\u6c14": 6, "\u7591\u95ee": 7 }, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "num_attention_heads": 12, "num_hidden_layers": 12, "pad_token_id": 0, "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", "transformers_version": "4.57.3", "type_vocab_size": 2, "use_cache": true, "vocab_size": 21128 }