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)

---

## ✅ 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`

---

## 📊 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

---

## 🎯 Key Monitoring Commands

### Must-Run Commands

```bash
# 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

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

# GPU monitoring
nvidia-smi -l 5

# Process check
ps aux | grep tune_hyperparameters
```

---

## 📁 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

---

## 🔔 Monitoring Schedule

### Every 30 Minutes (Recommended)
```bash
/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)**
```bash
# Extract best hyperparameters
python3 /home/jgrusewski/Work/foxhunt/scripts/extract_best_hyperparameters.py

# Review updated report
cat HYPERPARAMETER_TUNING_EXECUTION_REPORT.md
```

---

## 🚨 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

---

## 🔧 Emergency Procedures

### If Any Model Hangs (>15 min no progress)
```bash
# 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
```bash
# 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
```bash
# Restart it
nohup /home/jgrusewski/Work/foxhunt/scripts/auto_monitor_and_launch.sh \
  > /tmp/auto_monitor.log 2>&1 &
```

---

## ✅ 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

---

## 📊 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)

---

## 📝 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

---

## 📞 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`)

---

## 📈 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

---

## 🎉 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

---

**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)

---

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