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Update README.md

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@@ -11,6 +11,7 @@ The Comma v0.1 models were trained in two stages, a "main" stage and a "cooldown
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  During each stage, we heuristically set mixing rates to up or downweight different sources.
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  In the two tables below, we provide per-source token count, repeat rate, and effective token count (after up/downweighting) for the main and cooldown stage of the Comma v0.1-1T training run.
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  For the Comma v0.1-2T training run, all sources are repeated 2x as many times in both stages.
 
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  | Main stage | Tokens (B) | Repeats | Effective tokens (B) |
 
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  During each stage, we heuristically set mixing rates to up or downweight different sources.
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  In the two tables below, we provide per-source token count, repeat rate, and effective token count (after up/downweighting) for the main and cooldown stage of the Comma v0.1-1T training run.
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  For the Comma v0.1-2T training run, all sources are repeated 2x as many times in both stages.
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+ Token counts are as provided by the Comma v0.1 tokenizer; using a different tokenizer may change these counts significantly.
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  | Main stage | Tokens (B) | Repeats | Effective tokens (B) |