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 9120 word corpus (100.0%% of original 9120, drops 0)

downsampling leaves estimated 5170.06275810148 word corpus (56.7%% of prior 9120)

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

training on 0 raw words (0 effective words) took 2.0s, 0 effective words/s