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docs/archive/deep-cfr-profile-2026-05-07.md

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+# Deep CFR Profile 2026-05-07
+
+Run directory:
+
+`/mnt/2tbhdd/coolrl-lost-cities-runs/2026-05-07_024616_deep_cfr_profile_10iter`
+
+Command:
+
+```bash
+uv run python -m coolrl_lost_cities.games.classic.deep_cfr.cli train \
+  --config configs/deep_cfr/deep_cfr_selfplay_full_depth_slot_playability.yaml \
+  --checkpoint-dir /mnt/2tbhdd/coolrl-lost-cities-runs/2026-05-07_024616_deep_cfr_profile_10iter \
+  --max-iterations 10 \
+  --save-latest-only
+```
+
+## Summary
+
+The run completed 10 iterations. Loss values stayed finite.
+
+Non-evaluation iterations were iterations 1-4 and 6-9:
+
+| Metric | Average |
+| --- | ---: |
+| `iteration_seconds` | 9.132692 |
+| `traversal_seconds` | 3.143286 |
+| `memory_add_seconds` | 0.171213 |
+| `advantage_train_seconds` | 5.061859 |
+| `strategy_train_seconds` | 0.911080 |
+| `evaluation_seconds` | 0.000004 |
+| `checkpoint_seconds` | 0.015469 |
+| `batch_tensor_seconds` | 1.613572 |
+
+Evaluation iterations were iterations 5 and 10:
+
+| Metric | Average |
+| --- | ---: |
+| `iteration_seconds` | 22.676999 |
+| `traversal_seconds` | 3.233497 |
+| `memory_add_seconds` | 0.145742 |
+| `advantage_train_seconds` | 7.502700 |
+| `strategy_train_seconds` | 0.915639 |
+| `evaluation_seconds` | 11.004282 |
+| `checkpoint_seconds` | 0.019737 |
+| `batch_tensor_seconds` | 1.704181 |
+
+## Per-Iteration Notes
+
+`advantage_memory_size` grew from 43,019 at iteration 1 to 204,903 at
+iteration 10.
+
+`advantage_player_0_sample_seconds + advantage_player_1_sample_seconds` grew
+from about 0.521s at iteration 1 to about 8.231s at iteration 10.
+
+Traversal stayed near 3 seconds per iteration after iteration 1, except for
+normal run-to-run variance.