{ "_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": "SDG1", "1": "SDG2", "2": "SDG3", "3": "SDG4", "4": "SDG5", "5": "SDG6", "6": "SDG7", "7": "SDG8", "8": "SDG9", "9": "SDG10", "10": "SDG11", "11": "SDG12", "12": "SDG13", "13": "SDG14", "14": "SDG15", "15": "SDG16", "16": "SDG17" }, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "SDG1": 0, "SDG10": 9, "SDG11": 10, "SDG12": 11, "SDG13": 12, "SDG14": 13, "SDG15": 14, "SDG16": 15, "SDG17": 16, "SDG2": 1, "SDG3": 2, "SDG4": 3, "SDG5": 4, "SDG6": 5, "SDG7": 6, "SDG8": 7, "SDG9": 8 }, "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": "multi_label_classification", "torch_dtype": "float32", "transformers_version": "4.44.2", "type_vocab_size": 2, "use_cache": true, "vocab_size": 119547 }