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{
"_name_or_path": "microsoft/MiniLM-L12-H384-uncased",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"hidden_act": "gelu",
"hidden_dropout_prob": 0.1,
"hidden_size": 384,
"id2label": {
"0": "Society & Culture",
"1": "Science & Mathematics",
"2": "Health",
"3": "Education & Reference",
"4": "Computers & Internet",
"5": "Sports",
"6": "Business & Finance",
"7": "Entertainment & Music",
"8": "Family & Relationships",
"9": "Politics & Government"
},
"initializer_range": 0.02,
"intermediate_size": 1536,
"label2id": {
"Business & Finance": 6,
"Computers & Internet": 4,
"Education & Reference": 3,
"Entertainment & Music": 7,
"Family & Relationships": 8,
"Health": 2,
"Politics & Government": 9,
"Science & Mathematics": 1,
"Society & Culture": 0,
"Sports": 5
},
"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": "4.31.0",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 30522
}