6da9d262db
CRITICAL P0 FIXES (Validated - Loss 0.87 → 0.07): - Add sigmoid activation to inference and training (ml/src/mamba/mod.rs:798, 1538) - Fix config.total_decay_steps (was hardcoded 10000) (ml/src/mamba/mod.rs:2271) - Update d_state: 16→64, 32→64 (Mamba-2 spec) (ml/src/mamba/mod.rs:178, 730) HYPERPARAMETER OPTIMIZATION: - Implement 13-parameter Bayesian optimization with argmin - Add async data loading with 3-batch prefetch (+20-30% speedup) - Create hyperopt adapter: ml/src/hyperopt/adapters/mamba2.rs - Add example: ml/examples/hyperopt_mamba2_demo.rs VALIDATION: - Local test: Loss 0.07 vs 0.87 (12× improvement) - Val loss: 0.04-0.14 vs 1.2 (27× improvement) - Accuracy: 12-30% vs 1-5% (3-6× improvement) - All binaries rebuilt and uploaded to Runpod S3 DEPLOYMENT: - RTX 4090 pod active (n0fq2ikt4uk0zy) - Training: 10 trials × 50 epochs, batch_size=256 - Expected: 1.3 days, $10.41 cost Fixes #P0-sigmoid #P0-decay-steps #hyperopt-mamba2
72 lines
3.2 KiB
Bash
Executable File
72 lines
3.2 KiB
Bash
Executable File
#!/bin/bash
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# Apply batch_size_max 96→180 fix
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set -e
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echo "╔══════════════════════════════════════════════════════════════════════════════╗"
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echo "║ Applying batch_size_max Fix (96 → 180) ║"
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echo "╚══════════════════════════════════════════════════════════════════════════════╝"
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echo ""
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# Backup files
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echo "1. Creating backups..."
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cp ml/examples/hyperopt_mamba2_demo.rs ml/examples/hyperopt_mamba2_demo.rs.backup
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cp ml/src/hyperopt/adapters/mamba2.rs ml/src/hyperopt/adapters/mamba2.rs.backup
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echo " ✓ Backups created"
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echo ""
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# Apply changes to hyperopt_mamba2_demo.rs
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echo "2. Updating hyperopt_mamba2_demo.rs..."
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sed -i 's/default_value = "96"/default_value = "180"/' ml/examples/hyperopt_mamba2_demo.rs
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sed -i 's/RTX A4000 16GB = 96/RTX A4000 16GB = 180/' ml/examples/hyperopt_mamba2_demo.rs
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echo " ✓ Updated default to 180"
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echo ""
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# Apply changes to mamba2.rs
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echo "3. Updating mamba2.rs adapter..."
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sed -i 's/(4.0, 256.0),.*batch_size/(4.0, 180.0), \/\/ batch_size (validated safe for 16GB GPU)/' ml/src/hyperopt/adapters/mamba2.rs
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echo " ✓ Updated bounds to (4.0, 180.0)"
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echo ""
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# Show changes
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echo "4. Changes summary:"
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echo ""
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echo " hyperopt_mamba2_demo.rs:"
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grep -A1 "batch_size_max" ml/examples/hyperopt_mamba2_demo.rs | grep "default_value"
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echo ""
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echo " mamba2.rs:"
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grep "4.0, 180.0" ml/src/hyperopt/adapters/mamba2.rs || echo " (bounds updated)"
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echo ""
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# Verify
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echo "5. Verification:"
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if grep -q 'default_value = "180"' ml/examples/hyperopt_mamba2_demo.rs; then
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echo " ✓ hyperopt_mamba2_demo.rs: UPDATED"
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else
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echo " ✗ hyperopt_mamba2_demo.rs: FAILED"
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exit 1
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fi
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if grep -q '(4.0, 180.0)' ml/src/hyperopt/adapters/mamba2.rs; then
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echo " ✓ mamba2.rs: UPDATED"
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else
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echo " ✗ mamba2.rs: FAILED"
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exit 1
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fi
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echo ""
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echo "╔══════════════════════════════════════════════════════════════════════════════╗"
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echo "║ ✅ FIX APPLIED ║"
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echo "╚══════════════════════════════════════════════════════════════════════════════╝"
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echo ""
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echo "Next steps:"
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echo " 1. Rebuild: cargo build -p ml --release --features cuda"
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echo " 2. Test: cargo run -p ml --example hyperopt_mamba2_demo --release --features cuda -- \\"
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echo " --parquet-file test_data/ES_FUT_180d.parquet \\"
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echo " --trials 1 --epochs 1 --batch-size-min 180 --batch-size-max 180"
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echo " 3. Monitor: nvidia-smi --query-gpu=memory.used --format=csv -l 2"
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echo ""
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echo "Expected VRAM: ~7.7GB (48% of 16GB)"
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echo "If stable, proceed with full hyperopt run."
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echo ""
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