session_name: cifar-fine-tuning
windows:
        - window_name: experiments
          layout: even-vertical
          shell_command_before: cd /root/realistic-ssl-evaluation
          panes:
                  - CUDA_VISIBLE_DEVICES=0 python3 train_model.py --verbosity=0 --load_checkpoint=/mnt/experiment-logs/section-4-3-filtered-imagenet-pre-training/default/model.ckpt-500001 --training_length=1000000 --primary_dataset_name='cifar10' --secondary_dataset_name='cifar10' --root_dir=/mnt/experiment-logs/section-4-3-cifar-filtered-fine-tuning --n_labeled=4000 --consistency_model=mean_teacher --hparam_string="max_cons_multiplier=0"  2>&1 | tee /mnt/experiment-logs/section-4-3-cifar-filtered-fine-tuning_train.log
                  - CUDA_VISIBLE_DEVICES=1 python3 evaluate_model.py --split=test --training_length=1000000 --verbosity=0 --primary_dataset_name='cifar10' --root_dir=/mnt/experiment-logs/section-4-3-cifar-filtered-fine-tuning --consistency_model=mean_teacher --hparam_string="max_cons_multiplier=0"  2>&1 | tee /mnt/experiment-logs/section-4-3-cifar-filtered-fine-tuning_eval_test.log
                  - CUDA_VISIBLE_DEVICES=2 python3 evaluate_model.py --split=valid --training_length=1000000 --verbosity=0 --primary_dataset_name='cifar10' --root_dir=/mnt/experiment-logs/section-4-3-cifar-filtered-fine-tuning --consistency_model=mean_teacher --hparam_string="max_cons_multiplier=0"  2>&1 | tee /mnt/experiment-logs/section-4-3-cifar-filtered-fine-tuning_eval_valid.log
                  - CUDA_VISIBLE_DEVICES=3 python3 evaluate_model.py --split=train --training_length=1000000 --verbosity=0 --primary_dataset_name='cifar10' --root_dir=/mnt/experiment-logs/section-4-3-cifar-filtered-fine-tuning --consistency_model=mean_teacher --hparam_string="max_cons_multiplier=0"  2>&1 | tee /mnt/experiment-logs/section-4-3-cifar-filtered-fine-tuning_eval_train.log
Add run for CIFAR fine-tuning from filtered ImageNet
Add run for CIFAR fine-tuning from filtered ImageNet
