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Single-term loss diagnostics presets

Co-Authored-By: Claude Fable 5.1 <noreply@anthropic.com>
Simon-Pierre Boucher committed · Nov 9, 2026 parent beb4602
1 changed file +5 −0 Browse files
modified scripts/train.py +5 −0
@@ -30,6 +30,11 @@ PRESETS = {
30 30 "m3_noadv": dict(arch="m3", loss=dict(style=0.3, con=0.2, sem=0.1, orth=0.1, fact=0.5)),
31 31 "m3_nofact": dict(arch="m3", loss=dict(style=0.3, adv=0.3, con=0.2, sem=0.1, orth=0.1)),
32 32 "m3_nocon": dict(arch="m3", loss=dict(style=0.3, adv=0.3, orth=0.1, fact=0.5)),
33 + # single-term diagnostics (pilot: every M3 variant with auxiliary losses generalised far worse than token-only)
34 + "m1_fact": dict(arch="m1", loss=dict(fact=0.5)),
35 + "m3_factonly": dict(arch="m3", loss=dict(fact=0.5)),
36 + "m3_cononly": dict(arch="m3", loss=dict(con=0.2)),
37 + "m3_semonly": dict(arch="m3", loss=dict(sem=0.1)),
33 38 }
34 39
35 40
36 41
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