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@@ -13,4 +13,18 @@ This model has 10 layers, 10 heads and 640 embeddings, with a context window of
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  It was able to achieve a training loss of 2.3256 and validation loss of 2.3651.
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  Supervised fine-tuning should be performed before use.
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- Note: GPT-Usenet uses MBOX syntax. For finetuning, your data should be in the .mbox format.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  It was able to achieve a training loss of 2.3256 and validation loss of 2.3651.
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  Supervised fine-tuning should be performed before use.
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+ Note: GPT-Usenet uses MBOX syntax.
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+ ```
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+ uucp:
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+ Internet:
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+ Path:
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+ From:
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+ Sender:
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+ Newsgroups:
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+ Subject:
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+ Message-ID:
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+ Date:
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+ Organization:
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+ Lines:
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+ ```
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+ For finetuning, your data should be in the .mbox format.