Every dataset has scripts to run reproducible baselines. Look at the RESULTS file for each dataset to see the results of various models. e.g., https://github.com/kaldi-asr/kaldi/blob/master/egs/tedlium/s...

The training of these models can be reproduced on your own machine using a run*.sh script plug-and-play style, but you'll have to do some digging to find what scripts correspond to which models in the RESULTS files.

Since Kaldi is a toolkit, it can be used to build nearly any ASR architecture. See here [0] for a comprehensive comparison of the Word Error Rate of various architectures.

[0]: https://github.com/syhw/wer_are_we