diff --git a/base_miner/deepfake_detectors/ucf_detector.py b/base_miner/deepfake_detectors/ucf_detector.py
index b771418..b88bd7e 100644
--- a/base_miner/deepfake_detectors/ucf_detector.py
+++ b/base_miner/deepfake_detectors/ucf_detector.py
@@ -85,7 +85,7 @@ def load_model(self):
         self.ensure_weights_are_available(self.weights)
         self.ensure_weights_are_available(self.backbone_weights)
         model_class = DETECTOR[self.train_config['model_name']]
-        bt.logging.info(f"TEST PRINT: {self.train_config}")
+        bt.logging.info(f"Loaded config from training run: {self.train_config}")
         self.model = model_class(self.train_config).to(self.device)
         self.model.eval()
         weights_path = Path(WEIGHTS_DIR) / self.weights
diff --git a/docs/Mining.md b/docs/Mining.md
index 7cf97af..7ed88f8 100644
--- a/docs/Mining.md
+++ b/docs/Mining.md
@@ -6,7 +6,7 @@
    - [Data 📊](#data)
    - [Registration ✍️](#registration)
 2. [Mining ⛏️](#mining)
-3. [Train 🚂](#train)
+3. [Training 🚂](#training)
 
 ## Before you proceed ⚠️
 
@@ -93,9 +93,9 @@ DETECTOR=CAMO                                  # Options: CAMO, UCF, NPR
 DETECTOR_CONFIG=camo.yaml                      # Configurations: camo.yaml, ucf.yaml, npr.yaml
                                                # config files located in base_miner/deepfake_detectors/configs
 DEVICE=cpu                                     # Options: cpu, cuda
-NETUID=34                                      # Network User ID options: 34, 168
 
 # Subtensor Network Configuration:
+NETUID=34                                      # Network User ID options: 34, 168
 SUBTENSOR_NETWORK=finney                       # Networks: finney, test, local
 SUBTENSOR_CHAIN_ENDPOINT=wss://entrypoint-finney.opentensor.ai:443
                                                 # Endpoints:
@@ -124,7 +124,7 @@ pm2 start run_neuron.py -- --miner
 If you want to outperform the base model, you'll need to train on more data or try experiment with different hyperparameters and model architectures. See our [training](#train) section below for more details.
 
 
-## Train
+## Training
 
 To see performance improvements over the base models, you'll need to train on more data, modify hyperparameters, or try a different modeling strategy altogether. Happy experimenting!
 
diff --git a/docs/Validating.md b/docs/Validating.md
index daf3b9e..c33ae46 100644
--- a/docs/Validating.md
+++ b/docs/Validating.md
@@ -73,9 +73,8 @@ You can launch your validator with `run_neuron.py`.
 First, make sure to update `validator.env` with your **wallet**, **hotkey**, and **validator port**. This file was created for you during setup, and is not tracked by git.
 
 ```bash
-NETUID=34                                      # Network User ID options: 34, 168
-
 # Subtensor Network Configuration:
+NETUID=34                                      # Network User ID options: 34, 168
 SUBTENSOR_NETWORK=finney                       # Networks: finney, test, local
 SUBTENSOR_CHAIN_ENDPOINT=wss://entrypoint-finney.opentensor.ai:443
                                                 # Endpoints: