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{
"_name_or_path": "vietdata/vietnamese-content-cls",
"architectures": [
"BertForSequenceClassification"
],
"attention_probs_dropout_prob": 0.1,
"classifier_dropout": null,
"directionality": "bidi",
"hidden_act": "gelu",
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"hidden_size": 768,
"id2label": {
"0": " Agriculture, food, and drink",
"1": " Albums",
"2": " Architecture",
"3": " Art",
"4": " Biology and medicine",
"5": " Chemistry and materials science",
"6": " Classical compositions",
"7": " Computing and engineering",
"8": " Earth science",
"9": " Film",
"10": " Geography",
"11": " Language and literature",
"12": " Mathematics and mathematicians",
"13": " Media and drama",
"14": " Other music articles",
"15": " Philosophy",
"16": " Physics and astronomy",
"17": " Places",
"18": " Religion",
"19": " Royalty, nobility, and heraldry",
"20": " Songs",
"21": " Television",
"22": " Transport",
"23": " World history",
"24": "Armies and military units",
"25": "Baseball",
"26": "Basketball",
"27": "Battles, exercises, and conflicts",
"28": "Culture, sociology, and psychology",
"29": "Economics and business",
"30": "Education",
"31": "Football",
"32": "Hockey",
"33": "Law",
"34": "Magazines and print journalism",
"35": "Military aircraft",
"36": "Military decorations and memorials",
"37": "Military people",
"38": "Motorsport",
"39": "Multi-sport event",
"40": "Other sports",
"41": "Politics and government",
"42": "Pro wrestling",
"43": "Recreation",
"44": "Video games",
"45": "Warships and naval units",
"46": "Weapons, equipment, and buildings"
},
"initializer_range": 0.02,
"intermediate_size": 3072,
"label2id": {
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" Albums": 1,
" Architecture": 2,
" Art": 3,
" Biology and medicine": 4,
" Chemistry and materials science": 5,
" Classical compositions": 6,
" Computing and engineering": 7,
" Earth science": 8,
" Film": 9,
" Geography": 10,
" Language and literature": 11,
" Mathematics and mathematicians": 12,
" Media and drama": 13,
" Other music articles": 14,
" Philosophy": 15,
" Physics and astronomy": 16,
" Places": 17,
" Religion": 18,
" Royalty, nobility, and heraldry": 19,
" Songs": 20,
" Television": 21,
" Transport": 22,
" World history": 23,
"Armies and military units": 24,
"Baseball": 25,
"Basketball": 26,
"Battles, exercises, and conflicts": 27,
"Culture, sociology, and psychology": 28,
"Economics and business": 29,
"Education": 30,
"Football": 31,
"Hockey": 32,
"Law": 33,
"Magazines and print journalism": 34,
"Military aircraft": 35,
"Military decorations and memorials": 36,
"Military people": 37,
"Motorsport": 38,
"Multi-sport event": 39,
"Other sports": 40,
"Politics and government": 41,
"Pro wrestling": 42,
"Recreation": 43,
"Video games": 44,
"Warships and naval units": 45,
"Weapons, equipment, and buildings": 46
},
"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": "4.27.4",
"type_vocab_size": 2,
"use_cache": true,
"vocab_size": 62000
}
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