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train_predict_eval.sh
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train_predict_eval.sh
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#!/bin/bash
python train_predict_eval.py --dataset=valid --fold="0,1,2,3,4" \
--num_epochs=15 \
--num_layers_PG=11 \
--num_layers_R=10 \
--num_R=3 \
--weight_type="none" \
--experimental=0
python train_predict_eval.py --dataset=valid --fold="0,1,2,3,4" \
--num_epochs=15 \
--num_layers_PG=11 \
--num_layers_R=10 \
--num_R=3 \
--weight_type="smooth" \
--experimental=1
python train_predict_eval.py --dataset=valid --fold="0,1,2,3,4" \
--num_epochs=15 \
--num_layers_PG=11 \
--num_layers_R=10 \
--num_R=3 \
--weight_type="framewise" \
--experimental=1
python train_predict_eval.py --dataset=valid --fold="0,1,2,3,4" \
--num_epochs=15 \
--num_layers_PG=11 \
--num_layers_R=10 \
--num_R=3 \
--weight_type="learned" \
--experimental=1
python train_predict_eval.py --dataset=valid --fold="0,1,2,3,4" \
--num_epochs=15 \
--num_layers_PG=11 \
--num_layers_R=10 \
--num_R=3 \
--weight_type="uniform" \
--experimental=1
python train_predict_eval.py --dataset=valid --fold="0,1,2,3,4" \
--num_epochs=15 \
--num_layers_PG=11 \
--num_layers_R=10 \
--num_R=3 \
--weight_type="learned_smooth" \
--experimental=1
python train_predict_eval.py --dataset=valid --fold="0,1,2,3,4" \
--num_epochs=15 \
--num_layers_PG=11 \
--num_layers_R=10 \
--num_R=3 \
--weight_type="learned_framewise" \
--experimental=1
#
python train_predict_eval.py --dataset=valid --fold="0,1,2,3,4" \
--num_epochs=15 \
--num_layers_PG=11 \
--num_layers_R=10 \
--num_R=3 \
--weight_type="learned_uniform" \
--experimental=1
python train_predict_eval.py --dataset=valid --fold="0,1,2,3,4" \
--num_epochs=15 \
--num_layers_PG=11 \
--num_layers_R=10 \
--num_R=3 \
--weight_type="learned_framewise_exp" \
--experimental=1
python train_predict_eval.py --dataset=valid --fold="0,1,2,3,4" \
--num_epochs=15 \
--num_layers_PG=11 \
--num_layers_R=10 \
--num_R=3 \
--weight_type="learned_smooth_exp" \
--experimental=1
python train_predict_eval.py --dataset=valid --fold="0,1,2,3,4" \
--num_epochs=15 \
--num_layers_PG=11 \
--num_layers_R=10 \
--num_R=3 \
--weight_type="learned_poly" \
--experimental=1