misc

readme.md

@@ -80,24 +80,53 @@ gogo2/
 
 ## Training Modes
 
-### CNN Training
+### CNN Training with TensorBoard
 ```bash
-# Train on real ETH/USDT data
+# Train on real ETH/USDT data with TensorBoard monitoring
 python main_clean.py --mode cnn --symbol ETH/USDT
 
+# Monitor training in real-time
+tensorboard --logdir=runs
+
+# Or use the convenience script
+python run_tensorboard.py
+
 # Quick test with real data
 python test_cnn_only.py
 ```
 
-### RL Training
+### RL Training with TensorBoard
 ```bash
 # Train RL agent with real data
 python main_clean.py --mode rl --symbol ETH/USDT
 
 # Real-time RL training
 python train_rl_with_realtime.py --episodes 10
+
+# Monitor RL training metrics
+tensorboard --logdir=runs
 ```
 
+## TensorBoard Monitoring
+
+All training sessions are logged to TensorBoard for real-time monitoring:
+
+```bash
+# Start TensorBoard server
+tensorboard --logdir=runs
+
+# Or use the convenience script
+python run_tensorboard.py
+```
+
+**Metrics Available:**
+- **CNN Training**: Loss, accuracy, confidence scores, feature statistics
+- **RL Training**: Rewards, returns, win rates, epsilon values, trading metrics
+- **Model Architecture**: Parameter counts, memory usage
+- **Real-time Updates**: Batch-level and epoch-level metrics
+
+Access TensorBoard at: http://localhost:6006
+
 ## Performance
 
 - **Memory Usage**: <2GB per model