add resume training

README.md

@@ -117,6 +117,19 @@ export TORCH_HOME=/home/docker
 python train.py +experiments=train_exp01 hydra.run.dir=outputs/train_exp01
 ```
 
+### Resume Training
+
+If you want to resume training, specify the following config.
+
+```
+train:
+  resume: True
+  checkpoint: "/mnt/nfs/kuroyanagi/clones/PyTorch-Lightning-CIFAR10/outputs/train_re\
+sume_exp01/logs/resnet18/exp01/checkpoints/last.ckpt"
+```
+
+Even if you interrupt while using AWS spot instance, you can read `last.ckpt` and restart from the next epoch learning. You can use `run.sh` as a command when restarting.
+
 ### Test
 
 Specify `evaluate: True` in config as shown below.