Update README.md

README.md

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 # MolForge — a conditional SELFIES-VAE for de-novo molecule & battery-electrolyte design
 
-MolForge is a ~42M-parameter **conditional variational autoencoder** over
+MolForge is a 42M-parameter **conditional variational autoencoder** over
 [SELFIES](https://github.com/aspuru-guzik-group/selfies) string representations of
 molecules. It learns a smooth 256-dimensional latent space you can **sample, traverse,
-and optimize**, and because it decodes SELFIES, **~100% of generated strings are valid
+and optimize**, and because it decodes SELFIES, close to **100% of generated strings are valid
 molecules**. It was built for de-novo design of drug-like molecules and, in particular,
 **battery-electrolyte solvents / additives** across chemistries (Li / Na / K / Mg / Zn / …).