| # Run and exactly reproduce gemma3 results! | |
| # mme as an example | |
| NUM_PROCESSES="${NUM_PROCESSES:-8}" | |
| MAIN_PORT="${MAIN_PORT:-12345}" | |
| MODEL_ID="${MODEL_ID:-google/gemma-3-4b-it}" | |
| TASKS="${TASKS:-mmmu_val,ai2d,mathvista_testmini}" | |
| BATCH_SIZE="${BATCH_SIZE:-1}" | |
| OUTPUT_PATH="${OUTPUT_PATH:-./logs/}" | |
| accelerate launch --num_processes "${NUM_PROCESSES}" --main_process_port "${MAIN_PORT}" -m lmms_eval \ | |
| --model gemma3 \ | |
| --model_args "pretrained=${MODEL_ID}" \ | |
| --tasks "${TASKS}" \ | |
| --batch_size "${BATCH_SIZE}" --output_path "${OUTPUT_PATH}" |