foxhunt/TUNING_DEPLOYMENT_SUMMARY.md

Hyperparameter Tuning Pipeline Deployment Summary

Status: ✅ DEPLOYED AND RUNNING Deployment Time: 2025-10-14 18:00 Pipeline Duration: 13.7 hours (ends 2025-10-15 08:13)

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✅ Deployment Complete - All Systems Operational

Infrastructure Deployed

1. Auto-Monitor (auto_monitor_and_launch.sh)

• Status: ✅ RUNNING
• PID: 3991060
• Function: Monitors DQN completion, auto-launches sequential tuner
• Updates: Every 5 minutes
• Log: /tmp/auto_monitor.log

2. Sequential Launcher (sequential_tuning_launcher.sh)

• Status: ✅ READY (will launch when DQN completes)
• Function: Launches PPO → TFT → MAMBA-2 → Liquid sequentially
• Trigger: DQN completion (~19:28)

3. Dashboard Monitor (dashboard_monitor.sh)

• Status: ✅ READY
• Function: Real-time status for all 5 models + GPU
• Usage: watch -n 30 /home/jgrusewski/Work/foxhunt/scripts/dashboard_monitor.sh

4. Quick Status Checker (quick_status.sh)

• Status: ✅ READY
• Function: One-line status check
• Usage: /home/jgrusewski/Work/foxhunt/scripts/quick_status.sh

5. Hyperparameter Extractor (extract_best_hyperparameters.py)

• Status: ✅ READY
• Function: Extracts best hyperparameters from JSON results
• Usage: python3 scripts/extract_best_hyperparameters.py

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📊 Current Pipeline Status

DQN (In Progress)

• Status: ⏳ RUNNING (42% complete)
• PID: 3911478
• Runtime: 1h 3m
• Progress: 21/50 trials
• ETA: ~19:28 (1.5 hours remaining)
• GPU: 38% utilization, 135/4096 MiB memory, 66°C
• Last Trial: Sharpe=2.00, Loss=0.0450, Time=185s

PPO (Pending)

• Status: ⏳ WAITING for DQN
• Start: ~19:28 (auto-launch)
• Duration: ~3.2 hours
• End: ~22:42

TFT (Pending)

• Status: ⏳ WAITING for PPO
• Start: ~22:42 (auto-launch)
• Duration: ~4.2 hours
• End: ~02:54

MAMBA-2 (Pending)

• Status: ⏳ WAITING for TFT
• Start: ~02:54 (auto-launch)
• Duration: ~2.1 hours
• End: ~05:00

Liquid (Pending)

• Status: ⏳ WAITING for MAMBA-2
• Start: ~05:00 (auto-launch)
• Duration: ~1.7 hours
• End: ~06:42

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🎯 Key Monitoring Commands

Must-Run Commands

# Quick status (run every 30 minutes)
/home/jgrusewski/Work/foxhunt/scripts/quick_status.sh

# Full dashboard (auto-updates every 30 seconds)
watch -n 30 /home/jgrusewski/Work/foxhunt/scripts/dashboard_monitor.sh

# Pipeline status
cat /tmp/tuning_pipeline_status.txt

Optional Monitoring

# Live DQN log
tail -f /tmp/tuning_run.log

# GPU monitoring
nvidia-smi -l 5

# Process check
ps aux | grep tune_hyperparameters

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📁 Key Files & Locations

Documentation

• ✅ HYPERPARAMETER_TUNING_EXECUTION_REPORT.md - Main report (will be updated with results)
• ✅ TUNING_PIPELINE_INSTRUCTIONS.md - Detailed monitoring instructions
• ✅ TUNING_DEPLOYMENT_SUMMARY.md - This file

Scripts (All Executable)

• ✅ scripts/auto_monitor_and_launch.sh - Auto-monitor (RUNNING)
• ✅ scripts/sequential_tuning_launcher.sh - Sequential launcher (READY)
• ✅ scripts/dashboard_monitor.sh - Dashboard
• ✅ scripts/quick_status.sh - Quick status
• ✅ scripts/extract_best_hyperparameters.py - Results extractor

Logs (Live)

• ✅ /tmp/tuning_run.log - DQN log (ACTIVE)
• ⏳ /tmp/ppo_tuning_run.log - PPO log (future)
• ⏳ /tmp/tft_tuning_run.log - TFT log (future)
• ⏳ /tmp/mamba2_tuning_run.log - MAMBA-2 log (future)
• ⏳ /tmp/liquid_tuning_run.log - Liquid log (future)
• ✅ /tmp/auto_monitor.log - Auto-monitor log (ACTIVE)
• ⏳ /tmp/sequential_tuning.log - Sequential launcher log (future)
• ✅ /tmp/tuning_pipeline_status.txt - Pipeline status (UPDATING)

PIDs

• ✅ DQN: 3911478 (RUNNING)
• ✅ Auto-monitor: 3991060 (RUNNING)
• ⏳ PPO: Not started
• ⏳ TFT: Not started
• ⏳ MAMBA-2: Not started
• ⏳ Liquid: Not started

Results (Future)

• ⏳ results/dqn_tuning_50trials.json - Created when DQN completes
• ⏳ results/ppo_tuning_50trials.json - Created when PPO completes
• ⏳ results/tft_tuning_50trials.json - Created when TFT completes
• ⏳ results/mamba2_tuning_50trials.json - Created when MAMBA-2 completes
• ⏳ results/liquid_tuning_50trials.json - Created when Liquid completes

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🔔 Monitoring Schedule

Every 30 Minutes (Recommended)

/home/jgrusewski/Work/foxhunt/scripts/quick_status.sh

Key Checkpoints

19:30 (DQN Completion Expected)

• ✅ Verify DQN completed 50 trials
• ✅ Verify sequential launcher auto-started
• ✅ Verify PPO is now running

22:45 (PPO Completion Expected)

• ✅ Verify PPO completed 50 trials
• ✅ Verify TFT is now running

03:00 (TFT Completion Expected)

• ✅ Verify TFT completed 50 trials
• ✅ Verify MAMBA-2 is now running

05:05 (MAMBA-2 Completion Expected)

• ✅ Verify MAMBA-2 completed 50 trials
• ✅ Verify Liquid is now running

06:45 (Liquid Completion Expected)

• ✅ Verify Liquid completed 50 trials
• ✅ All 5 models done, 250 trials total

08:00 (Results Extraction)

# Extract best hyperparameters
python3 /home/jgrusewski/Work/foxhunt/scripts/extract_best_hyperparameters.py

# Review updated report
cat HYPERPARAMETER_TUNING_EXECUTION_REPORT.md

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🚨 What to Watch For

Normal Operation ✅

• GPU utilization: 30-60%
• GPU memory: <2048 MiB (under 50%)
• GPU temperature: <85°C
• Trial completion: Every ~3-4 minutes
• Sharpe ratios: 1.5-3.0
• No errors in logs

Warning Signs ⚠️

• GPU utilization: >90% sustained
• GPU memory: >3500 MiB
• GPU temperature: >85°C
• No trial completion: >10 minutes
• Sharpe ratios: <0.5

Critical Errors ❌

• CUDA Out of Memory (OOM)
• Process crashed (PID gone)
• Auto-monitor stopped
• GPU temperature: >95°C

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🔧 Emergency Procedures

If Any Model Hangs (>15 min no progress)

# 1. Check process
ps -p <PID>

# 2. Check log
tail -50 /tmp/<model>_tuning_run.log

# 3. Kill if necessary
kill -9 <PID>

# 4. Restart manually
nohup /home/jgrusewski/Work/foxhunt/target/release/examples/tune_hyperparameters \
  --model <MODEL> \
  --num-trials 50 \
  --epochs-per-trial 50 \
  --data-dir test_data/real/databento/ml_training \
  --output results/<model>_tuning_50trials.json \
  > /tmp/<model>_tuning_run.log 2>&1 &

If CUDA OOM Occurs

# 1. Kill failed process
kill -9 $(cat /tmp/<model>_tuning.pid)

# 2. Reduce batch size in config
# DQN/PPO/MAMBA-2/Liquid: 256 → 128
# TFT: 128 → 64

# 3. Restart with reduced batch size

If Auto-Monitor Stops

# Restart it
nohup /home/jgrusewski/Work/foxhunt/scripts/auto_monitor_and_launch.sh \
  > /tmp/auto_monitor.log 2>&1 &

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✅ Success Criteria

Pipeline succeeds when:

1. ✅ All 5 models complete 50 trials (250 total)
2. ✅ All result JSON files created and valid
3. ✅ Best hyperparameters extracted for each model
4. ✅ Sharpe ratios >1.5 for all models
5. ✅ No OOM or thermal errors
6. ✅ Report updated with final results

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📊 Expected Results

Performance Targets

• DQN: Sharpe 2.0-3.5, Loss 0.01-0.05
• PPO: Sharpe 2.5-4.0, Loss 0.02-0.08
• TFT: Sharpe 2.0-3.0, Loss 0.03-0.10
• MAMBA-2: Sharpe 2.5-4.0, Loss 0.02-0.06
• Liquid: Sharpe 2.0-3.5, Loss 0.02-0.07

Hyperparameter Ranges (Expected Optimal)

• Learning Rate: 1e-4 to 5e-4 (most models)
• Batch Size: 64-128 (most models)
• Gamma/Discount: 0.95-0.99
• Hidden Size: 128-192 (TFT, MAMBA-2, Liquid)

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📝 Post-Completion Actions

Immediate (When Pipeline Completes)

1. ✅ Run hyperparameter extraction script
2. ✅ Review HYPERPARAMETER_TUNING_EXECUTION_REPORT.md
3. ✅ Verify all 5 result files exist
4. ✅ Check Sharpe ratios meet targets

Within 24 Hours

1. 📝 Update model configuration files with best hyperparameters
2. 🚀 Run production training with optimized hyperparameters
3. 📊 Validate models with comprehensive backtesting
4. 📈 Compare performance against baseline models

Within 1 Week

1. 🔬 Analyze hyperparameter distributions
2. 📉 Study convergence patterns
3. 🎯 Identify potential hyperparameter correlations
4. 📄 Document insights for future tuning

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📞 Contact & Support

If Issues Arise

• Check TUNING_PIPELINE_INSTRUCTIONS.md for detailed troubleshooting
• Review logs in /tmp/*tuning*.log
• Check GPU status: nvidia-smi
• Monitor processes: ps aux | grep tune

Critical Issues

• GPU temperature >95°C → Kill all processes immediately
• Multiple OOM errors → Reduce batch sizes aggressively
• System unresponsive → Check system resources (uptime, free -h)

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📈 Performance Metrics

Current System Health

• ✅ CPU: Available
• ✅ GPU: RTX 3050 Ti, 4096 MiB VRAM
• ✅ Disk: Sufficient space for results
• ✅ Memory: Sufficient for training
• ✅ Temperature: 66°C (healthy)

Training Data

• ✅ Samples: 665,483 bars
• ✅ Files: 360 DBN files
• ✅ Symbols: ES.FUT, NQ.FUT, ZN.FUT, 6E.FUT
• ✅ Features: 5 OHLCV + 10 technical indicators

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🎉 Deployment Success

All systems deployed and operational:

• ✅ Auto-monitor running
• ✅ Sequential launcher ready
• ✅ Dashboard available
• ✅ Quick status available
• ✅ Hyperparameter extractor ready
• ✅ DQN tuning in progress (42%)
• ✅ GPU healthy (66°C, 38% util)
• ✅ No errors detected

Pipeline Status: OPERATIONAL AND MONITORING

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Deployment Date: 2025-10-14 18:00 Expected Completion: 2025-10-15 08:13 Total Duration: 13.7 hours Models: DQN, PPO, TFT, MAMBA-2, Liquid Trials: 50 per model (250 total) Objective: Maximize Sharpe ratio (risk-adjusted returns)

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Next Review: 30 minutes (18:30) or when DQN completes (~19:28)