train_band_gap_4-6.sh

#!/bin/bash
nohup python -u train.py --gpu 0 --seed 0 --data_path ./data/material_project --train_path ./data/material_project --dataset_name band_gap --dataset_type regression --run_fold 4 --metric mae --save_dir ./ckpt/ensemble_band_gap --epochs 200 --init_lr 1e-4 --max_lr 3e-4 --final_lr 1e-4 --no_features_scaling --show_individual_scores > ./log/fold_4_band_gap.log 2>&1 &
nohup python -u train.py --gpu 1 --seed 0 --data_path ./data/material_project --train_path ./data/material_project --dataset_name band_gap --dataset_type regression --run_fold 5 --metric mae --save_dir ./ckpt/ensemble_band_gap --epochs 200 --init_lr 1e-4 --max_lr 3e-4 --final_lr 1e-4 --no_features_scaling --show_individual_scores > ./log/fold_5_band_gap.log 2>&1 &
nohup python -u train.py --gpu 2 --seed 0 --data_path ./data/material_project --train_path ./data/material_project --dataset_name band_gap --dataset_type regression --run_fold 6 --metric mae --save_dir ./ckpt/ensemble_band_gap --epochs 200 --init_lr 1e-4 --max_lr 3e-4 --final_lr 1e-4 --no_features_scaling --show_individual_scores > ./log/fold_6_band_gap.log 2>&1 &
wait