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run_nih-lt_experiments.sh
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run_nih-lt_experiments.sh
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#!/bin/bash
echo "Training CE on NIH-LT..."
python src/main.py --data_dir /ssd1/greg/NIH_CXR/images \
--out_dir nih_results \
--dataset nih-lt \
--loss ce \
--max_epochs 60 \
--patience 15 \
--batch_size 256 \
--lr 1e-4 \
echo "Training class-balanced CE on NIH-LT..."
python src/main.py --data_dir /ssd1/greg/NIH_CXR/images \
--out_dir nih_results \
--dataset nih-lt \
--loss ce \
--rw_method cb \
--max_epochs 60 \
--patience 15 \
--batch_size 256 \
--lr 1e-4 \
echo "Training sklearn re-weighted CE on NIH-LT..."
python src/main.py --data_dir /ssd1/greg/NIH_CXR/images \
--out_dir nih_results \
--dataset nih-lt \
--loss ce \
--rw_method sklearn \
--max_epochs 60 \
--patience 15 \
--batch_size 256 \
--lr 1e-4 \
echo "Training focal loss on NIH-LT..."
python src/main.py --data_dir /ssd1/greg/NIH_CXR/images \
--out_dir nih_results \
--dataset nih-lt \
--loss focal \
--max_epochs 60 \
--patience 15 \
--batch_size 256 \
--lr 1e-4 \
echo "Training class-balanced focal loss on NIH-LT..."
python src/main.py --data_dir /ssd1/greg/NIH_CXR/images \
--out_dir nih_results \
--dataset nih-lt \
--loss focal \
--rw_method cb \
--max_epochs 60 \
--patience 15 \
--batch_size 256 \
--lr 1e-4 \
echo "Training sklearn re-weighted focal loss on NIH-LT..."
python src/main.py --data_dir /ssd1/greg/NIH_CXR/images \
--out_dir nih_results \
--dataset nih-lt \
--loss focal \
--rw_method sklearn \
--max_epochs 60 \
--patience 15 \
--batch_size 256 \
--lr 1e-4 \
echo "Training LDAM loss on NIH-LT..."
python src/main.py --data_dir /ssd1/greg/NIH_CXR/images \
--out_dir nih_results \
--dataset nih-lt \
--loss ldam \
--max_epochs 60 \
--patience 15 \
--batch_size 256 \
--lr 1e-4 \
echo "Training class-balanced LDAM loss on NIH-LT..."
python src/main.py --data_dir /ssd1/greg/NIH_CXR/images \
--out_dir nih_results \
--dataset nih-lt \
--loss ldam \
--rw_method cb \
--max_epochs 60 \
--patience 15 \
--batch_size 256 \
--lr 1e-4 \
echo "Training class-balanced LDAM loss w/ DRW on NIH-LT..."
python src/main.py --data_dir /ssd1/greg/NIH_CXR/images \
--out_dir nih_results \
--dataset nih-lt \
--loss ldam \
--rw_method cb \
--drw \
--max_epochs 60 \
--patience 15 \
--batch_size 256 \
--lr 1e-4 \
echo "Training sklearn re-weighted LDAM loss on NIH-LT..."
python src/main.py --data_dir /ssd1/greg/NIH_CXR/images \
--out_dir nih_results \
--dataset nih-lt \
--loss ldam \
--rw_method sklearn \
--max_epochs 60 \
--patience 15 \
--batch_size 256 \
--lr 1e-4 \
echo "Training sklearn re-weighted LDAM loss w/ DRW on NIH-LT..."
python src/main.py --data_dir /ssd1/greg/NIH_CXR/images \
--out_dir nih_results \
--dataset nih-lt \
--loss ldam \
--rw_method sklearn \
--drw \
--max_epochs 60 \
--patience 15 \
--batch_size 256 \
--lr 1e-4 \
echo "Training mixup on NIH-LT..."
python src/main.py --data_dir /ssd1/greg/NIH_CXR/images \
--out_dir nih_results \
--dataset nih-lt \
--loss ce \
--max_epochs 60 \
--patience 15 \
--batch_size 256 \
--lr 1e-4 \
--mixup \
--mixup_alpha 0.2 \
echo "Training balanced mixup on NIH-LT..."
python src/main.py --data_dir /ssd1/greg/NIH_CXR/images \
--out_dir nih_results \
--dataset nih-lt \
--loss ce \
--max_epochs 60 \
--patience 15 \
--batch_size 256 \
--lr 1e-4 \
--bal_mixup \
--mixup_alpha 0.2 \