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roberta_base_iab_categories_synthetic_data

Text Classification
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roberta
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Upload RobertaForSequenceClassification

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  1. README.md +199 -0
  2. config.json +750 -0
  3. model.safetensors +3 -0
README.md ADDED
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+ ---
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+ library_name: transformers
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+ tags: []
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+ ---
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+
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+ # Model Card for Model ID
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+
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+ <!-- Provide a quick summary of what the model is/does. -->
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+
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+
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+ ## Model Details
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+ ### Model Description
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+ <!-- Provide a longer summary of what this model is. -->
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+ This is the model card of a 🤗 transformers model that has been pushed on the Hub. This model card has been automatically generated.
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+ - **Developed by:** [More Information Needed]
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+
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+ ## Uses
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+ <!-- Address questions around how the model is intended to be used, including the foreseeable users of the model and those affected by the model. -->
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+ ### Direct Use
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+ [More Information Needed]
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+ <!-- This section addresses misuse, malicious use, and uses that the model will not work well for. -->
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+ ## Bias, Risks, and Limitations
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+ ## How to Get Started with the Model
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+ ## Training Details
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+ #### Training Hyperparameters
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+ - **Training regime:** [More Information Needed] <!--fp32, fp16 mixed precision, bf16 mixed precision, bf16 non-mixed precision, fp16 non-mixed precision, fp8 mixed precision -->
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+ ## Evaluation
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+ #### Summary
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+ Carbon emissions can be estimated using the [Machine Learning Impact calculator](https://mlco2.github.io/impact#compute) presented in [Lacoste et al. (2019)](https://arxiv.org/abs/1910.09700).
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+ - **Carbon Emitted:** [More Information Needed]
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+ ## Technical Specifications [optional]
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+ ## Glossary [optional]
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+ ## More Information [optional]
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+ ## Model Card Contact
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+ [More Information Needed]
config.json ADDED
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+ {
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+ "_name_or_path": "text-classification-model-iab-categories-revised-roberta-base",
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+ "architectures": [
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+ "RobertaForSequenceClassification"
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+ ],
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+ "attention_probs_dropout_prob": 0.1,
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+ "bos_token_id": 0,
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+ "classifier_dropout": null,
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+ "eos_token_id": 2,
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+ "hidden_act": "gelu",
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+ "hidden_dropout_prob": 0.1,
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+ "hidden_size": 768,
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+ "id2label": {
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+ "0": "Careers, Career Planning",
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+ "1": "Health & Fitness, Women's Health",
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+ "2": "Technology & Computing, C/C++",
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+ "3": "Style & Fashion, Jewelry",
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+ "4": "Law Government & Politics, Politics",
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+ "5": "Technology & Computing, Cameras & Camcorders",
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+ "6": "Science, Botany",
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+ "9": "Religion & Spirituality, Hinduism",
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+ "10": "Sports, Skateboarding",
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+ "15": "Health & Fitness, AIDS/HIV",
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+ "16": "Education, Homework/Study Tips",
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+ "17": "Law Government & Politics, Immigration",
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+ "18": "Arts & Entertainment, Humor",
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+ "19": "Arts & Entertainment, Celebrity Fan/Gossip",
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+ "20": "Health & Fitness, Bipolar Disorder",
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+ "21": "Travel, Bed & Breakfasts",
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+ "22": "Hobbies & Interests, Magic & Illusion",
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+ "23": "Business, Human Resources",
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+ "24": "Food & Drink, American Cuisine",
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+ "25": "Education, Language Learning",
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+ "26": "Health & Fitness, Incontinence",
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+ "28": "Personal Finance, Mutual Funds",
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+ "29": "Style & Fashion, Accessories",
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+ "31": "Food & Drink, Mexican Cuisine",
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+ "36": "Health & Fitness, IBS/Crohn\u0019 s Disease",
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+ "37": "Sports, Horses",
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+ "39": "Technology & Computing, Email",
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+ "55": "Health & Fitness, Chronic Fatigue Syndrome",
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+ "56": "Health & Fitness, Asthma",
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+ "86": "Technology & Computing, Visual Basic",
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+ "87": "Home & Garden, Home Theater",
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+ "88": "Non-Standard Content, Incentivized",
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+ "89": "Automotive, Off-Road Vehicles",
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+ "185": "Travel, Traveling with Kids",
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+ "186": "Technology & Computing, Net for Beginners",
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+ "187": "Hobbies & Interests, Chess",
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+ "188": "Sports, Game & Fish",
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+ "189": "Health & Fitness, Autism/PDD",
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+ "190": "Automotive, Certified Pre-Owned",
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+ "192": "Education, English as a 2nd Language",
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+ "193": "Hobbies & Interests, Genealogy",
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+ "194": "Technology & Computing, Network Security",
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+ "195": "Sports, Waterski/Wakeboard",
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+ "196": "Health & Fitness, Headaches/Migraines",
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+ "198": "Sports, Fly Fishing",
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+ "202": "Technology & Computing, Home Video/DVD",
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+ "204": "Food & Drink, Cajun/Creole",
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+ "213": "Careers, Telecommuting",
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+ "214": "Travel, Budget Travel",
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+ "215": "Technology & Computing, Web Design/HTML",
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+ "216": "Health & Fitness, Thyroid Disease",
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+ "217": "Health & Fitness, Herbs for Health",
232
+ "218": "Technology & Computing, MP3/MIDI",
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+ "219": "Travel, Business Travel",
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+ "220": "Health & Fitness, Depression",
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+ "221": "Home & Garden, Home Repair",
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+ "224": "Health & Fitness, Exercise",
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+ "226": "Hobbies & Interests, Card Games",
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+ "227": "Sports, Cheerleading",
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+ "228": "Hobbies & Interests, Radio",
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+ "229": "Technology & Computing, Computer Reviews",
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+ "230": "Careers, Resume Writing/Advice",
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+ "231": "Society, Divorce Support",
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+ "232": "Food & Drink, Chinese Cuisine",
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+ "233": "Sports, Auto Racing",
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+ "234": "Sports, Olympics",
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+ "235": "Food & Drink, Barbecues & Grilling",
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+ "236": "Food & Drink, Health/Low-Fat Cooking",
251
+ "237": "Health & Fitness, Epilepsy",
252
+ "238": "Pets, Aquariums",
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+ "239": "Sports, Freshwater Fishing",
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+ "240": "Hobbies & Interests, Woodworking",
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+ "241": "Sports, Cricket",
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+ "242": "Religion & Spirituality, Catholicism",
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+ "243": "Hobbies & Interests, Bird-Watching",
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+ "244": "Technology & Computing, Computer Certification",
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+ "245": "Education, Private School",
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+ "246": "Pets, Dogs",
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+ "247": "Science, Space/Astronomy",
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+ "248": "Education, Studying Business",
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+ "249": "Science, Physics",
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+ "250": "Religion & Spirituality, Atheism/Agnosticism",
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+ "251": "Business, Construction",
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+ "252": "Family & Parenting, Special Needs Kids",
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+ "253": "Science, Geography",
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