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validator: cheap checkpoint-trainedness / log-consistency guard - #72
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bitzic
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Jun 28, 2026
bitzic
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- validator/integrity.py: check_checkpoint_trained() rejects (a) untrained checkpoints whose held-out loss sits near the random baseline ln(vocab) and (b) log/checkpoint mismatches where held-out loss >> the declared training final_loss
- consumes the val_bpb op4 already computes (no extra GPU) + the miner's declared final_loss; generous thresholds never reject a real model
- would have caught the random-init crown that became king
- inert until wired into op3/op4 (proposed, for review)
- validator/integrity.py: check_checkpoint_trained() rejects (a) untrained checkpoints whose held-out loss sits near the random baseline ln(vocab) and (b) log/checkpoint mismatches where held-out loss >> the declared training final_loss - consumes the val_bpb op4 already computes (no extra GPU) + the miner's declared final_loss; generous thresholds never reject a real model - would have caught the random-init crown that became king - inert until wired into op3/op4 (proposed, for review) Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
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