oluwatosin adewumi
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Wolof model modified 2.
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README.md
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## DialoGPT_AfriWOZ
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This is a fine-tuned model of DialoGPT (
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The dataset it's trained on is limited in scope, as it covers only certain domains such as restaurants, hotel, taxi, and booking.
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The perplexity achieved on the test and validation sets are 20.74 and 11.66, respectively.
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* Generation example from an interactive environment:
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## DialoGPT_AfriWOZ
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This is a fine-tuned model of DialoGPT (small) on the AfriWOZ dataset. It is intended to be used as a conversational system in Wolof language.
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The dataset it's trained on is limited in scope, as it covers only certain domains such as restaurants, hotel, taxi, and booking.
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The perplexity achieved on the test and validation sets are 20.74 and 11.66, respectively.
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* Generation example from an interactive environment:
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