Transformer baseline for the PhaseMesh SSM comparison (text8)

A fresh, matched Transformer baseline trained for Ash's PhaseMesh SSM comparison. Completed 5,000 optimizer updates and the final validation at ~02:15 UTC on 3 November 2026 (single run, seed 1).

value
Parameters 130,575,232
Training byte presentations 327,680,000
Best validation 1.2401772355 bpc at step 4,000
Final validation 1.2575643889 bpc at step 5,000
PhaseMesh SSM (reported) best 1.2568 / final 1.2603 bpc

Lower is better. The Transformer's best score is lower, but it worsened after step 4,000, and its final advantage is only ~0.00274 bpc. This is one seed with sampled validation (50 batches every 250 updates), so it does not establish a statistically reliable architecture winner. Evaluation sampling/configuration and hardware differ between the two runs, and the SSM checkpoint was not available for independent evaluation, so no matched hardware-speed claim is made.

Setup

text8, 90/5/5 split, context 1,024, effective batch 64 (microbatch 4 x 16 accumulation steps), BF16 training, FP32 evaluation. Model: 11 layers, d_model 1088, 17 heads, d_ff = 2 x d_model, RoPE, tied embeddings, vocab 256 (bytes). Peak learning rate 3e-4 (min 1e-4, 300 warmup steps) versus the SSM's reported 3e-3. Full configuration in config.json; training code in run_matched.py, idle_training.py, child_entry.py and vendor/phase_ssm/ (source commit 3ae43ffac6c0).

Files

file what sha256
latest.pt final step-5000 checkpoint with resume state (model, 90 optimizer states, RNG) 9daa4a11d354fed0bce207f5fb01c0e4b382cf4f1a2f30f31b6706f88bf98411
best.pt best step-4000 checkpoint, model-only 4403abde8d0a2e2610d5b4e839df0cbce0d7cc59adef2afcbf1bcaaaebf7a35a
config.json run + model configuration 2ee79a2c5384459bbb9fa13d53ce8c7bc74f8fe17e9442fbe5db7ec7eb97902a
BACKUP_MANIFEST.json SHA-256 manifest of every file in this bundle
RESTORE_VERIFIED.json / BEST_RESTORE_VERIFIED.json restore checks: strict CPU load, finite weights, RNG, optimizer-state count

The final checkpoint passed a strict CPU restore, finite-weight checks, RNG verification and a check of its 90 optimizer states; the best checkpoint passed strict model loading and finite-weight checks (it carries no optimizer/RNG state).

Reference: the PhaseMesh SSM results and documented setup.

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