diff --git a/run_scripts/caption/evaluate_caption_huge.sh b/run_scripts/caption/evaluate_caption_huge.sh
new file mode 100644
index 00000000..fa2e4d99
--- /dev/null
+++ b/run_scripts/caption/evaluate_caption_huge.sh
@@ -0,0 +1,37 @@
+#!/usr/bin/env bash
+
+# The port for communication. Note that if you want to run multiple tasks on the same machine,
+# you need to specify different port numbers.
+export MASTER_PORT=1083
+export CUDA_VISIBLE_DEVICES=4,5,6,7
+export GPUS_PER_NODE=4
+
+user_dir=../../ofa_module
+bpe_dir=../../utils/BPE
+
+data=../../dataset/caption_data/caption_test.tsv
+path=../../checkpoints/caption_huge_best.pt
+result_path=../../results/caption
+selected_cols=1,4,2
+split='test'
+
+python3 -m torch.distributed.launch --nproc_per_node=${GPUS_PER_NODE} --master_port=${MASTER_PORT} ../../evaluate.py \
+    ${data} \
+    --path=${path} \
+    --user-dir=${user_dir} \
+    --task=caption \
+    --batch-size=16 \
+    --log-format=simple --log-interval=10 \
+    --seed=7 \
+    --gen-subset=${split} \
+    --results-path=${result_path} \
+    --beam=10 \
+    --max-len-b=16 \
+    --temperature=0.98 \
+    --lenpen=0.98 \
+    --no-repeat-ngram-size=3 \
+    --fp16 \
+    --num-workers=0 \
+    --model-overrides="{\"data\":\"${data}\",\"bpe_dir\":\"${bpe_dir}\",\"eval_cider\":False,\"selected_cols\":\"${selected_cols}\"}"
+
+python coco_eval.py ../../results/caption/test_predict.json ../../dataset/caption_data/test_caption_coco_format.json