diff --git a/cvlface/research/recognition/code/run_v1/train.py b/cvlface/research/recognition/code/run_v1/train.py
index e3c77f5..f67ab8e 100644
--- a/cvlface/research/recognition/code/run_v1/train.py
+++ b/cvlface/research/recognition/code/run_v1/train.py
@@ -40,6 +40,7 @@
 from general_utils.dist_utils import verify_ddp_weights_equal
 from functools import partial
 from fabric.fabric import setup_dataloader_from_dataset
+from omegaconf import OmegaConf
 
 
 if __name__ == '__main__':
@@ -59,6 +60,9 @@
         wandb_logger = WandbLogger(project=cfg.trainers.task, save_dir=cfg.trainers.output_dir,
                                    name=os.path.basename(cfg.trainers.output_dir),
                                    log_model=False)
+        print(f"Logging all of the hyperparameters for WandB logger.")
+        dict_config = OmegaConf.to_container(cfg, resolve=True)
+        wandb_logger.log_hyperparams(dict_config)
         loggers.append(wandb_logger)
 
     # grad_max_norm?
@@ -318,4 +322,4 @@
         print('Skip final evaluation')
 
     # close
-    print('done')
\ No newline at end of file
+    print('done')