| { | |
| "_name_or_path": "distilroberta-base", | |
| "architectures": [ | |
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| ], | |
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| "id2label": { | |
| "0": "Longevity", | |
| "1": "Basketball", | |
| "2": "Crypto Trading & Speculation", | |
| "3": "Civil Rights Activism", | |
| "4": "Physics", | |
| "5": "Human Rights", | |
| "6": "Disease Research", | |
| "7": "Europe Politics", | |
| "8": "Asia Politics", | |
| "9": "US Federal Policies", | |
| "10": "MMA", | |
| "11": "Movies", | |
| "12": "Emerging Technologies", | |
| "13": "Middle East Politics", | |
| "14": "Space Technology", | |
| "15": "United Kingdom Business & Economics", | |
| "16": "US Political Corruption", | |
| "17": "US Involvement in Foreign Conflicts", | |
| "18": "Cosmology & The Universe", | |
| "19": "Banking & Finance", | |
| "20": "Consumer & Retail", | |
| "21": "Mental Health Treatments", | |
| "22": "Agriculture", | |
| "23": "Labor Activism", | |
| "24": "Celebrity", | |
| "25": "US Congress", | |
| "26": "Other Sports", | |
| "27": "Health Policy", | |
| "28": "Pets, Animals & Wildlife", | |
| "29": "US Federal Elections", | |
| "30": "Clothes", | |
| "31": "Chemistry and Material Sciences", | |
| "32": "US Campaigns & Elections", | |
| "33": "Tennis", | |
| "34": "US Local Elections", | |
| "35": "Biology", | |
| "36": "Unemployment", | |
| "37": "Extreme Weather and Cataclysms", | |
| "38": "Medical Innovations", | |
| "39": "Festivals", | |
| "40": "Stocks Trading & Speculation", | |
| "41": "Inflation", | |
| "42": "Jewelry", | |
| "43": "Hockey", | |
| "44": "Social Media", | |
| "45": "US Crime, Violence, Terrorism & cybercrime", | |
| "46": "Gaming & VR", | |
| "47": "Operating Systems", | |
| "48": "Video Games", | |
| "49": "Latin America Economy", | |
| "50": "Photographers", | |
| "51": "AI Research", | |
| "52": "Music", | |
| "53": "Stress and Wellness", | |
| "54": "Real Estate & Housing", | |
| "55": "Drug Discoveries", | |
| "56": "Climate Change", | |
| "57": "Royal Families", | |
| "58": "Environmental Science", | |
| "59": "Cosmetics", | |
| "60": "Tech Giants", | |
| "61": "Africa politics", | |
| "62": "Boxing", | |
| "63": "Football", | |
| "64": "Baseball", | |
| "65": "SCOTUS", | |
| "66": "Weightlifting & Bodybuilding", | |
| "67": "Consumer Electronics", | |
| "68": "India Politics", | |
| "69": "Global Organizations", | |
| "70": "Autoracing", | |
| "71": "Epidemics & Outbreaks", | |
| "72": "US Circuit and Appeals Courts", | |
| "73": "Keto, Paleo, Vegan, Mediterranean", | |
| "74": "Bonds Trading & Speculation", | |
| "75": "Women\u2019s Health", | |
| "76": "Nutrition Research", | |
| "77": "Art and Culture", | |
| "78": "United Kingdom Politics", | |
| "79": "Space Exploration", | |
| "80": "Workforce / Labor", | |
| "81": "Computer Hardware", | |
| "82": "Personal Finance & Financial Education", | |
| "83": "Discover", | |
| "84": "Asia Business & Economics", | |
| "85": "Culture", | |
| "86": "Golf", | |
| "87": "Vaccine Development", | |
| "88": "AI Policy and Regulations", | |
| "89": "Tech Industry Trends", | |
| "90": "Swimming", | |
| "91": "US Police Misconduct", | |
| "92": "Tech Startups", | |
| "93": "Aerobics & Cardio", | |
| "94": "Automotive and Transportation", | |
| "95": "Nonprofit, Charities, & Fundraising", | |
| "96": "Olympic Sports", | |
| "97": "Soccer", | |
| "98": "Australia Business & Economics", | |
| "99": "Software Applications", | |
| "100": "AI Startups", | |
| "101": "Television", | |
| "102": "Middle East Business & Economics", | |
| "103": "Forex Trading & Speculation", | |
| "104": "US Local Policies", | |
| "105": "India Business & Economics", | |
| "106": "Australia Politics", | |
| "107": "Adventure", | |
| "108": "Interest Rates", | |
| "109": "Renewable Energy", | |
| "110": "Energy & Natural Resources", | |
| "111": "Chess", | |
| "112": "Extreme Sports", | |
| "113": "Latin America Politics", | |
| "114": "Writing and Literature", | |
| "115": "Africa Business & Economics", | |
| "116": "Europe Business & Economics", | |
| "117": "Global Health", | |
| "118": "Food", | |
| "119": "Men's Health" | |
| }, | |
| "initializer_range": 0.02, | |
| "intermediate_size": 3072, | |
| "label2id": { | |
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| "Boxing": 62, | |
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| "Middle East Business & Economics": 102, | |
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| "Nutrition Research": 76, | |
| "Olympic Sports": 96, | |
| "Operating Systems": 47, | |
| "Other Sports": 26, | |
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| "Photographers": 50, | |
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| "Royal Families": 57, | |
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| "Soccer": 97, | |
| "Social Media": 44, | |
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| "Space Exploration": 79, | |
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| "Television": 101, | |
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| "US Police Misconduct": 91, | |
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| "Vaccine Development": 87, | |
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| "Weightlifting & Bodybuilding": 66, | |
| "Women\u2019s Health": 75, | |
| "Workforce / Labor": 80, | |
| "Writing and Literature": 114, | |
| "Pets, Animals & Wildlife": 28 | |
| }, | |
| "layer_norm_eps": 1e-05, | |
| "max_position_embeddings": 514, | |
| "model_type": "roberta", | |
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| "num_hidden_layers": 6, | |
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| "position_embedding_type": "absolute", | |
| "torch_dtype": "float32", | |
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| "use_cache": true, | |
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| } | |