Ubuntu
added finetuned categorical classification model + more evaluated dataset modifications
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{
"_name_or_path": "distilbert-base-uncased",
"activation": "gelu",
"architectures": [
"DistilBertForSequenceClassification"
],
"attention_dropout": 0.1,
"dim": 768,
"dropout": 0.1,
"hidden_dim": 3072,
"id2label": {
"0": "Beauty_and_Fitness",
"1": "People_and_Society",
"2": "Travel_and_Transportation",
"3": "Shopping",
"4": "Adult",
"5": "Sports",
"6": "Science",
"7": "Food_and_Drink",
"8": "News",
"9": "Sensitive Subjects",
"10": "Autos_and_Vehicles",
"11": "Law_and_Government",
"12": "Business_and_Industrial",
"13": "Health",
"14": "Real Estate",
"15": "Books_and_Literature",
"16": "Computers_and_Electronics",
"17": "Internet_and_Telecom",
"18": "Home_and_Garden",
"19": "Jobs_and_Education",
"20": "Online Communities",
"21": "Finance",
"22": "Arts_and_Entertainment",
"23": "Games",
"24": "Hobbies_and_Leisure",
"25": "Reference",
"26": "Pets_and_Animals"
},
"initializer_range": 0.02,
"label2id": {
"Adult": 4,
"Arts_and_Entertainment": 22,
"Autos_and_Vehicles": 10,
"Beauty_and_Fitness": 0,
"Books_and_Literature": 15,
"Business_and_Industrial": 12,
"Computers_and_Electronics": 16,
"Finance": 21,
"Food_and_Drink": 7,
"Games": 23,
"Health": 13,
"Hobbies_and_Leisure": 24,
"Home_and_Garden": 18,
"Internet_and_Telecom": 17,
"Jobs_and_Education": 19,
"Law_and_Government": 11,
"News": 8,
"Online Communities": 20,
"People_and_Society": 1,
"Pets_and_Animals": 26,
"Real Estate": 14,
"Reference": 25,
"Science": 6,
"Sensitive Subjects": 9,
"Shopping": 3,
"Sports": 5,
"Travel_and_Transportation": 2
},
"max_position_embeddings": 512,
"model_type": "distilbert",
"n_heads": 12,
"n_layers": 6,
"pad_token_id": 0,
"problem_type": "single_label_classification",
"qa_dropout": 0.1,
"seq_classif_dropout": 0.2,
"sinusoidal_pos_embds": false,
"tie_weights_": true,
"torch_dtype": "float32",
"transformers_version": "4.34.0",
"vocab_size": 30522
}