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README.md
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## Info
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Model trained using flax on huge dataset with jokes and anekdots on different tasks:
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1. Span masks (dataset size: 850K)
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2. Conditional generation
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## Ethical considerations and risks
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Model is fine-tuned on a large corpus of humorous text data scraped from from websites/telegram channels with anecdotes, shortliners, jokes.
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## Info
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Model trained using flax on huge dataset with jokes and anekdots on different tasks:
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1. Span masks (dataset size: 850K)
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2. Conditional generation tasks (simultaneously):
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a. Generate inspiration by given setup (dataset size: 230K)
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b. Generate punch by given setup and inspiration (dataset size: 240K)
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c. Generate mark by given setup and punch (dataset size: 200K)
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## Ethical considerations and risks
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Model is fine-tuned on a large corpus of humorous text data scraped from from websites/telegram channels with anecdotes, shortliners, jokes.
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