File size: 1,846 Bytes
93f12cc | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 | #!/bin/bash
# Batch evaluation script for multiple Qwen models on Sokoban
#
# Usage:
# bash scripts/eval_batch.sh
set -e
OUTPUT_DIR="outputs"
mkdir -p ${OUTPUT_DIR}
# Configuration
NUM_TRAJECTORIES=128
GROUP_SIZE=16
ENV_GROUPS=$((NUM_TRAJECTORIES / GROUP_SIZE)) # 8 groups
GPU_ID="0"
echo "=========================================="
echo "Batch Evaluation on Sokoban"
echo "Trajectories per model: ${NUM_TRAJECTORIES}"
echo "=========================================="
echo ""
# List of models to evaluate
MODELS=(
"Qwen/Qwen2.5-0.5B-Instruct:qwen-2.5-0.5b"
"Qwen/Qwen2.5-1.5B-Instruct:qwen-2.5-1.5b"
"Qwen/Qwen2.5-3B-Instruct:qwen-2.5-3b"
"Qwen/Qwen2.5-7B-Instruct:qwen-2.5-7b"
"Qwen/Qwen2.5-14B-Instruct:qwen-2.5-14b"
)
for model_config in "${MODELS[@]}"; do
IFS=':' read -r model_path model_name <<< "$model_config"
output_file="${OUTPUT_DIR}/${model_name}-sokoban-${NUM_TRAJECTORIES}.jsonl"
echo ">>> Evaluating: ${model_name}"
echo " Path: ${model_path}"
echo " Output: ${output_file}"
echo ""
python -m ragen.llm_agent.agent_proxy \
--config-name eval \
system.CUDA_VISIBLE_DEVICES="${GPU_ID}" \
model_path="${model_path}" \
es_manager.val.env_groups=${ENV_GROUPS} \
es_manager.val.group_size=${GROUP_SIZE} \
es_manager.val.env_configs.tags=["CoordSokoban"] \
es_manager.val.env_configs.n_groups=[${ENV_GROUPS}] \
output.dir="${OUTPUT_DIR}" \
output.filename="${model_name}-sokoban-${NUM_TRAJECTORIES}.jsonl" \
output.format=jsonl \
output.append_timestamp=false
echo ""
echo "✓ Completed: ${model_name}"
echo "=========================================="
echo ""
done
echo "All evaluations completed!"
echo "Results in: ${OUTPUT_DIR}/"
ls -lh ${OUTPUT_DIR}/*.jsonl
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