logger

The recommended logger is wandb, and by default, we have set the storage of wandb to local. If this is not the effect you want, manually modify the environment variables of wandb in cfg.misc.env.WANDB_MODE to online

Example

logger:
_target_: lightning.pytorch.loggers.WandbLogger
project: ${misc.project_name}
name: ${misc.project_name}
# entity: xxxxxx-nanjing-university
log_model: final  # all, final
# tags: ["baseline", "v0.0.1"]
# group: "experiments"
save_dir: wandb_logs

Note

We do not guarantee that the parameters recorded by Weights & Biases (wandb) are always correct. We recommend directly referring to the errors printed in the standard output. At the end of each epoch, all error metrics are automatically printed.