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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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# gpt-
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This model is a pre-trained GPT2 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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<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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should probably proofread and complete it, then remove this comment. -->
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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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