#!/bin/bash
# LEARNABILITY GATE for SIGMORPHON, before any parallel-decoding claim.
# Published transformer baselines reach roughly 90%+ exact match on medium data
# for these languages. If our harness cannot get near that with sequential
# decoding, nothing measured at one pass would mean anything.
#SBATCH -J siggate
#SBATCH -p gpu-h100
#SBATCH --gpus=h100:1
#SBATCH -c 8
#SBATCH --mem=32g
#SBATCH -t 02:00:00
#SBATCH -o logs/siggate-%j.out
source /etc/profile
SCR=/scratch/zt1/project/msml612/user/$USER
module load python/3.10.10
export PYTHONPATH=
cd $SCR/pcmd/src
for L in english german turkish; do
  echo "--- $L (mdlm baseline) ---"
  $SCR/hf_env/bin/python train_sig.py --lang $L --mode mdlm --size medium \
    --steps 12000 --d 256 --layers 6 --lr 1e-4 --warmup 1000 \
    --data_root $SCR/pcmd/data/sig --out $SCR/pcmd/runs/gate-$L 2>&1 | tail -2
done