{ "_name_or_path": "bert-base-uncased", "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": "Economic Concerns", "1": "Racial discrimination or polarization", "2": "Leadership weaknesses", "3": "Development and infrastructure gaps", "4": "Corruption", "5": "Political instablility", "6": "Socials and Public safety", "7": "Administration", "8": "Education", "9": "Religion issues", "10": "Environmental" }, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "Economic Concerns": 0, "Racial discrimination or polarization": 1, "Leadership weaknesses": 2, "Development and infrastructure gaps": 3, "Corruption": 4, "Political instablility": 5, "Socials and Public safety": 6, "Administration": 7, "Education": 8, "Religion issues": 9, "Environmental": 10 }, "layer_norm_eps": 1e-12, "max_position_embeddings": 512, "model_type": "bert", "num_attention_heads": 12, "num_hidden_layers": 12, "pad_token_id": 0, "position_embedding_type": "absolute", "problem_type": "single_label_classification", "torch_dtype": "float32", "transformers_version": "4.18.0", "type_vocab_size": 2, "use_cache": true, "vocab_size": 30522 }