Add resumable exposure autoencoder training

README.md

@@ -83,6 +83,16 @@ torchrun --standalone --nproc_per_node=4 train_exposure_autoencoder.py \
 In DDP mode, `--batch_size` is the global batch size and must be divisible by
 the number of processes.
 
+The trainer also writes `last.pt` after every epoch so interrupted runs can be
+continued. Pass the run directory to reuse the original `train_config.json`;
+the trainer will load `last.pt` when available and fall back to `best.pt` for
+older runs:
+
+```bash
+python train_exposure_autoencoder.py \
+  --resume_checkpoint runs/exposure_ae_RUN
+```
+
 Encode every cached exposure window once:
 
 ```bash