diff --git a/examples/deepscaler/train_deepscaler_nb.py b/examples/deepscaler/train_deepscaler_nb.py
index f15ade579..ae7ae610a 100644
--- a/examples/deepscaler/train_deepscaler_nb.py
+++ b/examples/deepscaler/train_deepscaler_nb.py
@@ -17,6 +17,7 @@
 import optax
 from orbax import checkpoint as ocp
 import qwix
+import wandb
 
 # ====== Logging Configuration ======
 # 1. Force absl to use python logging
@@ -286,6 +287,30 @@
 )
 
 
+wandb.init(
+    project="deepscaler",
+    reinit=True,
+    config={
+        "batch_size": BATCH_SIZE,
+        "mini_batch_size": MINI_BATCH_SIZE,
+        "learning_rate": LEARNING_RATE,
+        "B1": B1,
+        "B2": B2,
+        "WARMUP_STEPS": WARMUP_STEPS,
+        "weight_decay": WEIGHT_DECAY,
+        "num_steps": MAX_STEPS,
+        "num_generations": NUM_GENERATIONS,
+        "beta": BETA,
+        "epsilon": EPSILON,
+        "epsilon_high": EPSILON_HIGH,
+        "max_response_length": MAX_RESPONSE_LENGTH,
+        "temperature": TEMPERATURE,
+        "top_p": TOP_P,
+        "top_k": TOP_K,
+    },
+)
+
+
 def create_datasets(
     train_ds_path: str = DEEPSCALER_DATA_PATH,
     test_ds_path: str = AIME_2024_DATA_PATH,