# Word frequency analysis
# Example command to run the analysis:
python word_frequency.py \
--model-name pareto \
--loss-type l2 \
--normalization batchnorm \
--latent-dim 64 \
--batch-size 512 \
--epochs 200 \
--learning-rate 0.0005 \
--data wikitext-2-raw-v1 \
--min-freq 5 \
--tail-freq 5 \
--nu 3.1 \
--optimizer adamw \
--seed 122

# Denoising task
# Example command to run the analysis:
python denoising.py \
--model-name pareto \
--dataset mnist \
--loss-type l1 \
--batch-size 512 \
--epochs 100 \
--anneal-function logistic \
--normalization batchnorm \
--optimizer adamw \
--activation relu \
--nu 3.1 \
--noise-type salt_pepper \
--noise-prob 0.5 \
--seed 122