diff --git a/src/batdetect2/train/train.py b/src/batdetect2/train/train.py
index 7b339b7..f101d93 100644
--- a/src/batdetect2/train/train.py
+++ b/src/batdetect2/train/train.py
@@ -96,14 +96,26 @@ def build_trainer(
     conf: FullTrainingConfig,
     targets: TargetProtocol,
 ) -> Trainer:
-    logger = build_logger(conf.train.logger)
-
-    if logger and hasattr(logger, "log_hyperparams"):
-        logger.log_hyperparams(conf.model_dump(exclude_none=True))
-
     return Trainer(
         accelerator=conf.train.accelerator,
-        logger=logger,
+        accumulate_grad_batches=conf.train.accumulate_grad_batches,
+        deterministic=conf.train.deterministic,
+        check_val_every_n_epoch=conf.train.check_val_every_n_epoch,
+        devices=conf.train.devices,
+        enable_checkpointing=conf.train.enable_checkpointing,
+        gradient_clip_val=conf.train.gradient_clip_val,
+        limit_train_batches=conf.train.limit_train_batches,
+        limit_test_batches=conf.train.limit_test_batches,
+        limit_val_batches=conf.train.limit_val_batches,
+        log_every_n_steps=conf.train.log_every_n_steps,
+        max_epochs=conf.train.max_epochs,
+        min_epochs=conf.train.min_epochs,
+        max_steps=conf.train.max_steps,
+        min_steps=conf.train.min_steps,
+        max_time=conf.train.max_time,
+        precision=conf.train.precision,
+        val_check_interval=conf.train.val_check_interval,
+        logger=build_logger(conf.train.logger),
         callbacks=build_trainer_callbacks(targets),
     )