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README.md
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roberta-base model is fine tuned on news article abstracts and headlines.
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Respective labels and thier categories
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{21: 'U.S. NEWS',
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2: 'COMEDY',
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14: 'PARENTING',
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26: 'WORLD NEWS',
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0: 'ARTS & CULTURE',
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17: 'SCIENCE & TECH',
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18: 'SPORTS',
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6: 'ENTERTAINMENT',
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15: 'POLITICS',
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23: 'WEIRD NEWS',
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7: 'ENVIRONMENT',
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5: 'EDUCATION',
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3: 'CRIME',
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24: 'WELLNESS',
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1: 'BUSINESS & FINANCES',
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19: 'STYLE & BEAUTY',
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8: 'FOOD & DRINK',
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12: 'MEDIA',
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9: 'GROUPS VOICES',
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10: 'HOME & LIVING',
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25: 'WOMEN',
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20: 'TRAVEL',
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16: 'RELIGION',
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11: 'IMPACT',
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22: 'WEDDINGS',
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13: 'MISCELLANEOUS',
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4: 'DIVORCE'}
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# roberta-base model is fine tuned on news article abstracts and headlines.
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## Respective labels and thier categories
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{0: 'ARTS & CULTURE',
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1: 'BUSINESS & FINANCES',
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2: 'COMEDY',
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3: 'CRIME',
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4: 'DIVORCE',
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5: 'EDUCATION',
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6: 'ENTERTAINMENT',
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7: 'ENVIRONMENT',
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8: 'FOOD & DRINK',
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9: 'GROUPS VOICES',
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10: 'HOME & LIVING',
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11: 'IMPACT',
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12: 'MEDIA',
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13: 'MISCELLANEOUS',
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14: 'PARENTING',
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15: 'POLITICS',
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16: 'RELIGION',
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17: 'SCIENCE & TECH',
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18: 'SPORTS',
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19: 'STYLE & BEAUTY',
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20: 'TRAVEL',
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21: 'U.S. NEWS',
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22: 'WEDDINGS',
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23: 'WEIRD NEWS',
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24: 'WELLNESS',
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25: 'WOMEN',
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26: 'WORLD NEWS'}
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