Indeed, the Transformer model achieves by far the highest accuracy (97%, 128 dimensions) but is also most affected by a diminishing latent dimensionality: the mean accuracy drops precipitously from 97% to 26% when going from 128 dimensions to 64 dimensions, whereas the AAE and the RNN both achieve nearly 50% reconstruction accuracy with 64 dimensions. All models display increasing accuracy with increasing dimensionality. All attention based models display a greater improvement when increasing from a dimensionality of 64 to a dimensionality of 128 than when increasing from a dimensionality of 32 to a dimensionality of 64.