effective_min_count=5 retains 172 unique words (100.0%% of original 172, drops 0)

3.8.12 | packaged by conda-forge | (default, Oct 12 2021, 21:50:56) 
[Clang 11.1.0 ]

effective_min_count=5 leaves 2410 word corpus (100.0%% of original 2410, drops 0)

downsampling leaves estimated 1374.909778643089 word corpus (57.1%% of prior 2410)

training model with 2 workers on 172 vocabulary and 256 features, using sg=1 hs=0 sample=0.001 negative=5 window=5 shrink_windows=True

training on 24100000 raw words (13745968 effective words) took 22.4s, 614850 effective words/s