code/scripts/queue_decorr_exp.sh

#!/usr/bin/env bash
# Waits for longer-SFT to finish, then runs slot-decorrelation experiment from
# that ckpt. Runs both ablations + capacity_diagnostic on the result, then
# pushes everything to HF.
set -uo pipefail

REPO="LauraGG/blt-reasoner-pilot1"
OUT="/home/ubuntu/work/blt_decorr_exp"
CFG="/home/ubuntu/experiments/blt_reasoner/configs/exp7b_decorr.json"
WAIT_FOR="/home/ubuntu/work/blt_longer_sft/final/ablation_n200_K16.json"
RESUME_FROM="/home/ubuntu/work/blt_longer_sft/final"
LOG="/home/ubuntu/work/queue_decorr.log"

log() { echo "[$(date +%T)] $*" | tee -a "$LOG"; }

mkdir -p "$OUT"
cd /home/ubuntu
export TOKENIZERS_PARALLELISM=false TRANSFORMERS_NO_ADVISORY_WARNINGS=1 HF_HUB_DISABLE_PROGRESS_BARS=1
export PYTORCH_CUDA_ALLOC_CONF=expandable_segments:True

log "queue_decorr.sh starting; waiting for longer-SFT to finish at $WAIT_FOR"
DEADLINE=$(( $(date +%s) + 6*3600 ))
while [ ! -f "$WAIT_FOR" ]; do
    if [ "$(date +%s)" -gt "$DEADLINE" ]; then
        log "deadline reached; using GRPO ckpt as resume baseline"
        RESUME_FROM="/home/ubuntu/work/blt_grpo_opt13/final"
        break
    fi
    sleep 60
done
log "proceeding from RESUME_FROM=$RESUME_FROM; 30s GPU drain"
sleep 30

log "==========================================="
log "DECORR experiment (lambda_decorr=0.5) from $RESUME_FROM"
log "==========================================="
python3 -u -m experiments.blt_reasoner.train --config "$CFG" \
    --resume_from "$RESUME_FROM" \
    > "$OUT/train.log" 2>&1
log "train exit=$?"

log "Capacity diagnostic on decorr-final"
python3 -u -m experiments.blt_reasoner.scripts.capacity_diagnostic \
    --ckpt "$OUT/final" --config "$CFG" --n 100 --K 16 --max_new_tokens 128 \
    --out "$OUT/final/capacity_diagnostic.json" \
    > "$OUT/capacity.log" 2>&1
log "capacity diag exit=$?"

log "TF ablation"
python3 -u -m experiments.blt_reasoner.scripts.ablate_teacher_forced \
    --ckpt "$OUT/final" --config "$CFG" --n 200 --K 16 \
    --out "$OUT/final/ablation_teacher_forced.json" \
    > "$OUT/tf_eval.log" 2>&1
log "TF ablate exit=$?"

log "AR ablation"
python3 -u -m experiments.blt_reasoner.eval \
    --ckpt "$OUT/final" --config "$CFG" --n 200 --K 16 \
    --max_new_tokens 192 --temperature 0.0 \
    --out "$OUT/final/ablation_n200_K16.json" \
    > "$OUT/ar_eval.log" 2>&1
log "AR ablate exit=$?"

log "pushing decorr_exp/ to HF"
python3 - <<PYEND
import os
from huggingface_hub import HfApi
token = os.environ.get("BLT_HF_TOKEN", "").strip()
assert token.startswith("hf_"), "BLT_HF_TOKEN missing"
api = HfApi(token=token)
api.upload_folder(folder_path="$OUT", path_in_repo="decorr_exp",
                   repo_id="$REPO", repo_type="model",
                   commit_message="Slot-decorrelation regularizer experiment")
print("[push] done")
PYEND
log "queue_decorr.sh DONE"