{ "_name_or_path": "bert-base-multilingual-cased", "architectures": [ "BertForSequenceClassification" ], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "directionality": "bidi", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": { "0": "H\u1ecdc t\u1eadp", "1": "L\u1eadp tr\u00ecnh", "2": "AI", "3": "Thi\u1ebft k\u1ebf", "4": "Marketing", "5": "K\u1ebf to\u00e1n", "6": "Qu\u1ea3n l\u00fd d\u1ef1 \u00e1n", "7": "\u0110\u1eddi s\u1ed1ng" }, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "AI": 2, "H\u1ecdc t\u1eadp": 0, "K\u1ebf to\u00e1n": 5, "L\u1eadp tr\u00ecnh": 1, "Marketing": 4, "Qu\u1ea3n l\u00fd d\u1ef1 \u00e1n": 6, "Thi\u1ebft k\u1ebf": 3, "\u0110\u1eddi s\u1ed1ng": 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", "torch_dtype": "float32", "transformers_version": "4.42.4", "type_vocab_size": 2, "use_cache": true, "vocab_size": 119547 }