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| #!/bin/bash | |
| #SBATCH --partition=qgpu # Specify the partition | |
| #SBATCH --account=gpu_gres # Specify the account | |
| #SBATCH --mem=3000 # Request 10GB of memory | |
| #SBATCH --time=00:10:00 | |
| #SBATCH --job-name=SVJtr3 # Name the job | |
| #SBATCH --output=jobs/BigTraining_output.log # Redirect stdout to a log file | |
| #SBATCH --error=jobs/BigTraining_error.log # Redirect stderr to a log file | |
| #SBATCH --gres=gpu:1 | |
| source env.sh | |
| export APPTAINER_TMPDIR=/work/gkrzmanc/singularity_tmp | |
| export APPTAINER_CACHEDIR=/work/gkrzmanc/singularity_cache | |
| nvidia-smi | |
| srun singularity exec -B /t3home/gkrzmanc/ -B /work/gkrzmanc/ --nv docker://gkrz/lgatr:v3 python -m src.train -train scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-1100_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-1500_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-1100_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-1500_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-1100_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-1500_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-1200_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-700_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-1200_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-700_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-1200_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-700_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-1300_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-800_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-1300_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-800_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-1300_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-800_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-1400_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-900_mDark-20_rinv-0.3_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-1400_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-900_mDark-20_rinv-0.5_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-1400_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-2000 scouting_PFNano_signals2/SVJ_hadronic_std3/s-channel_mMed-900_mDark-20_rinv-0.7_alpha-peak_13TeV-pythia8_n-2000 -val scouting_PFNano_signals2/SVJ_hadronic_std2/s-channel_mMed-1000_mDark-20_rinv-0.3 scouting_PFNano_signals2/SVJ_hadronic_std2/s-channel_mMed-1500_mDark-20_rinv-0.5 scouting_PFNano_signals2/SVJ_hadronic_std2/s-channel_mMed-700_mDark-20_rinv-0.7 scouting_PFNano_signals2/SVJ_hadronic_std2/s-channel_mMed-900_mDark-20_rinv-0.3 scouting_PFNano_signals2/SVJ_hadronic_std2/s-channel_mMed-1000_mDark-20_rinv-0.5 scouting_PFNano_signals2/SVJ_hadronic_std2/s-channel_mMed-1500_mDark-20_rinv-0.7 scouting_PFNano_signals2/SVJ_hadronic_std2/s-channel_mMed-800_mDark-20_rinv-0.3 scouting_PFNano_signals2/SVJ_hadronic_std2/s-channel_mMed-900_mDark-20_rinv-0.5 scouting_PFNano_signals2/SVJ_hadronic_std2/s-channel_mMed-1000_mDark-20_rinv-0.7 scouting_PFNano_signals2/SVJ_hadronic_std2/s-channel_mMed-700_mDark-20_rinv-0.3 scouting_PFNano_signals2/SVJ_hadronic_std2/s-channel_mMed-800_mDark-20_rinv-0.5 scouting_PFNano_signals2/SVJ_hadronic_std2/s-channel_mMed-900_mDark-20_rinv-0.7 scouting_PFNano_signals2/SVJ_hadronic_std2/s-channel_mMed-1500_mDark-20_rinv-0.3 scouting_PFNano_signals2/SVJ_hadronic_std2/s-channel_mMed-700_mDark-20_rinv-0.5 scouting_PFNano_signals2/SVJ_hadronic_std2/s-channel_mMed-800_mDark-20_rinv-0.7 -net src/models/LGATr/lgatr.py -bs 64 --gpus 0 --run-name Train_LGATr_SB_spatial_part_only --val-dataset-size 4000 --num-epochs 1000 --attr-loss-weight 0.1 --coord-loss-weight 0.1 --beta-type pt+bc --spatial-part-only --validation-steps 2000 --num-workers 0 | |