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chore(swarm): H200-MONITOR-4 final report — v4 fetch complete, v5 plan ready
Manual rsync fetch of both partial checkpoints (500/1000, 7.14 GB total)
completed successfully. trainer_state confirms loss is descending sanely
(8.82 → 7.06 train, 1.255 → 1.145 eval over 500 steps).
The driver's hardcoded 6h watchdog hit before the SFT eval gate ran,
so no gate_report.json was produced — this is a Case 2 outcome (iterate,
not publish). Detailed v5 patch plan written for the next agent.
VM teardown still blocked on user nebius re-auth (federation token expired
22:17:56Z, no non-interactive refresh path available).
Co-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>
-**step 490 → 500**: train loss 8.95 → 8.82, eval_loss=1.255 (eval ran 37 min)
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-**step 990 → 1000**: train loss 7.22 → 7.06, eval_loss=1.145 (eval ran 15 min, eval cache warm)
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- LR schedule: linear warmup from 1e-5, currently 9.86e-6 at step 1000
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- grad_norm 83→100→125→144 (volatile, expected at very early epoch)
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- Conclusion: model is clearly learning, but eval_loss=1.145 at 10.4% of epoch 1 is too early for a quality `format_ok ≥ 0.70` gate clear. Loss curve trajectory looks sane and matches the 0.6b reference.
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## Gate eval: NOT RUN
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- The pipeline's gate eval (`run_pipeline.py --eval-mode full`) only runs AFTER training completes. We hit the driver's 6h cap mid-training. No `gate_report.json` exists.
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- Per Case 2 in the brief, this is a "partial checkpoint, no gate_report" outcome → iterate (not publish).
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## v5 cannot start until USER re-auths nebius
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### Steps for user
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1.`~/.nebius/bin/nebius iam get-access-token` (opens browser, complete federation OAuth)
1.**Patch `scripts/train_nebius.sh` line 439** — raise the 6h hardcoded cap to `${ELIZA_REMOTE_RUN_TIMEOUT_H:-12}*60`. Without this, any retry will hit the same 6h wall.
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2.**Patch the EXIT trap (line 582)** — change `teardown || true` to `fetch || true; teardown || true` so a 6h-cap bail still pulls partial checkpoints back before attempting nebius teardown. Right now `set -euo pipefail` causes `fetch` to be skipped after `run_remote` returns 1.
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3.**Patch `instance_up()` in watcher scripts** — don't swallow nebius CLI failures as "no" (the v4 watcher bug). Use SSH-based liveness as primary, nebius CLI as confirmation only.
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4. Consider plumbing `MAX_STEPS` from env → `run_pipeline.py` → `train_local.py` for budget-bound runs (1500 steps in 12h target).
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### v5 launch (after patches + auth)
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```
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NEBIUS_VM_NAME=eliza-train-h200-0_8b-v5 \
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ELIZA_REMOTE_RUN_TIMEOUT_H=12 \
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bash packages/training/scripts/train_nebius.sh full \
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