Create a model that can deliver the following values for generated molecules:

• at least 95% validity
• at least 95% uniqueness
• at least 20% novelty

You can freely adjust training and model hyperparameters.

Always generate 200 compounds and leave temperature at 1.0 and maximum length at 100.

You can also try generating several times- the percentages will vary a bit and it might be enough to re-generate the samples to get a result that fulfills the requirements above.

List your choice of hyperparameters here and include a screenshot that shows the generated molecules along with the validity/uniqueness/novelty values.