chore: import upstream snapshot with attribution
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#!/usr/bin/env bash
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# ──────────────────────────────────────────────────────────────────────────────
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# SkillOpt — SpreadsheetBench training launch script
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#
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# Usage:
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# bash scripts/run_spreadsheetbench.sh --split_dir /path/to/split --data_root /path/to/data
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# bash scripts/run_spreadsheetbench.sh --num_epochs 2 --edit_budget 6
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# ──────────────────────────────────────────────────────────────────────────────
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set -euo pipefail
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SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
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PROJECT_ROOT="$(dirname "${SCRIPT_DIR}")"
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export PYTHONPATH="${PROJECT_ROOT}:${PYTHONPATH:-}"
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OPTIMIZER_MODEL="${OPTIMIZER_MODEL:-gpt-5.5}"
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TARGET_MODEL="${TARGET_MODEL:-gpt-5.5}"
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TIMESTAMP=$(date +%Y%m%d_%H%M%S)
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DEFAULT_OUT_ROOT="${PROJECT_ROOT}/outputs/skillopt_spreadsheetbench_${TARGET_MODEL}_${TIMESTAMP}"
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echo "============================================================"
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echo " SkillOpt — SpreadsheetBench Training"
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echo "============================================================"
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echo " Optimizer: ${OPTIMIZER_MODEL}"
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echo " Target: ${TARGET_MODEL}"
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echo "============================================================"
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cd "${PROJECT_ROOT}"
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python scripts/train.py \
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--config configs/spreadsheetbench/default.yaml \
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--optimizer_model "${OPTIMIZER_MODEL}" \
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--target_model "${TARGET_MODEL}" \
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--out_root "${DEFAULT_OUT_ROOT}" \
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"$@"
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echo ""
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echo "Done! Results saved to: ${DEFAULT_OUT_ROOT}"
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