This repository serves reproducing the experiments from the paper Challenging the Semi-Supervised VAE Framework for Text Classification.
The commands for running the set of experiment for each model and each dataset
is in the corresponding .slurm
or .sh
file
named launch<Model><Dataset>
in the launch_scripts
folder.
For importance weighted experiments, the memory cost
can be lowered using the --grad_accu
parameter which specifies the number
of gradient accumulation steps. The --batch_size
parameter must then be lowered
accordingly. Example: --grad_accu 2 --batch_size 32
is equivalent to
--grad_accu 4 --batch_size 16
.