Update README.md

README.md

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 OCRonos-Vintage is only 124 million parameters. It can run easily on CPU or provide correction at scale on GPUs (>10k tokens/seconds) while providing a quality of correction comparable to GPT-4 or the llama version of OCRonos for English-speaking cultural archives.
 
 ## Training
-
 OCRonos-Vintage was pre-trained from scratch on a dataset of cultural heritage archives from the Library of Congress, Internet Archive and Hathi Trust totalling 18 billion tokens. 
 
-Pre-training ran on 2 epochs with llm.c (9060 steps total) on 4 H100s for two hours. It is one of the first models trained on the new Jean Zay H100 cluster (compute grant n°GC011015451).
+Pre-training ran on 2 epochs with llm.c (9060 steps total) on 4 H100s for two and a half hour. It is one of the first models trained on the new Jean Zay H100 cluster (compute grant n°GC011015451).
 
 OCRonos-Vintage is an *historical* language model with a hard cut-off date of December 29th, 1955 and the vast majority prior to 1940. Roughly 65% of the content has been published between 1880 and 1920.