| set -euo pipefail | |
| SCRIPT_DIR="$(cd "$(dirname "${BASH_SOURCE[0]}")" && pwd)" | |
| source "${SCRIPT_DIR}/../00_setup/env.sh" | |
| cd "${GENERANNO_DIR}" | |
| python3 src/tasks/downstream/discrete_diffusion_train.py \ | |
| --model_name "${GENERANNO_BASE_MODEL}" \ | |
| --dataset_dir "${DEEPSTARR_DIR}" \ | |
| --output_dir "${RESULT_ROOT}/checkpoints/deepstarr_discrete_diffusion" \ | |
| --saved_model_dir "${DIFFUSION_MODEL}" \ | |
| --conditioned \ | |
| --sequence_col sequence \ | |
| --label_col label \ | |
| --score_mode sum \ | |
| --max_length "${DIFFUSION_MAX_LENGTH:-256}" \ | |
| --num_train_epochs "${DIFFUSION_EPOCHS:-3}" \ | |
| --batch_size "${DIFFUSION_BATCH_SIZE:-256}" \ | |
| --gradient_accumulation_steps "${DIFFUSION_GRAD_ACCUM:-1}" \ | |
| --learning_rate "${DIFFUSION_LR:-5e-5}" \ | |
| --num_diffusion_steps "${NUM_DIFFUSION_STEPS:-64}" \ | |
| --bf16 \ | |
| --gradient_checkpointing \ | |
| --report_to none \ | |
| --run_name deepstarr_discrete_diffusion_conditioned | |