jgrusewski 6da9d262db feat(ml): MAMBA-2 P0 fixes + hyperparameter optimization (13 params) ...

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

2025-10-28 14:11:18 +01:00

1.4 KiB

Raw Blame History

View Raw