{ "architectures": [ "BertForSequenceClassification" ], "attention_probs_dropout_prob": 0.1, "classifier_dropout": null, "dtype": "float32", "hidden_act": "gelu", "hidden_dropout_prob": 0.1, "hidden_size": 768, "id2label": { "0": "Politics and Elections", "1": "War and Geopolitics", "2": "Health and Medicine", "3": "Economy and Finance", "4": "Technology and AI", "5": "Crime and Public Safety", "6": "Sports and Games", "7": "Celebrity and Entertainment", "8": "Religion and Spirituality", "9": "Gender and Identity" }, "initializer_range": 0.02, "intermediate_size": 3072, "label2id": { "Celebrity and Entertainment": 7, "Crime and Public Safety": 5, "Economy and Finance": 3, "Gender and Identity": 9, "Health and Medicine": 2, "Politics and Elections": 0, "Religion and Spirituality": 8, "Sports and Games": 6, "Technology and AI": 4, "War and Geopolitics": 1 }, "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": "relative_key", "problem_type": "multi_label_classification", "transformers_version": "4.57.6", "type_vocab_size": 2, "use_cache": true, "vocab_size": 250002 }