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# gpt-fake-lang-17m
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This model is a pre-trained GPT2 (with 17m parameters) on a synthetic dataset (1gb of documents created in 4 fake languages, each with a formal and informal style).
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It achieves the following results on the evaluation set:
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- Loss: 3.5592
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# gpt-fake-lang-17m
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This model is a pre-trained GPT2 (with 17m parameters) on a synthetic dataset (1gb of documents created in 4 fake languages, each with a formal and informal writing style).
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It achieves the following results on the evaluation set:
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- Loss: 3.5592
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