| : <<'EOF' | |
| EOF | |
| mkdir -p results | |
| levels=(low median high) | |
| models=(model_ADS model_DSA model_SAD) # [model_ADS, model_DSA, model_SAD] | |
| base_command="CUDA_VISIBLE_DEVICES=0 python ./src/inference.py \ | |
| --cmpl_k 1 \ | |
| --sear_k 1 \ | |
| --min_len 10 \ | |
| --max_len 50 \ | |
| --tmpr 0.7 \ | |
| --top_k 50 \ | |
| --top_p 0.9 \ | |
| --rept_pnal 1.2 \ | |
| --no_rept_ngram 2 \ | |
| --seed 42 \ | |
| --search_imgs" | |
| for model in "${models[@]}"; do | |
| output_file="./results/finetuned_on_${model}.log" | |
| for level1 in "${levels[@]}"; do | |
| for level2 in "${levels[@]}"; do | |
| for level3 in "${levels[@]}"; do | |
| full_command="$base_command --model_names ${model} --aes_level ${level1} --sim_level ${level2} --iqa_level ${level3} >> $output_file" | |
| echo "Now, running: $full_command" | |
| eval $full_command | |
| echo "****************************************" >> "$output_file" | |
| done | |
| done | |
| done | |
| done | |
| echo "Test resuts saved to $output_file" | |