Training-Harness (ACO, Multi-Fidelity), Prüfstand-Benchmark, Agenten-README
Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
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9
Makefile
9
Makefile
@@ -1,4 +1,4 @@
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.PHONY: install dev prod stop logs remove auth sync sync-projects sync-all sync-all-reverse projects searxng ollama qa test test-e2e train
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.PHONY: install dev prod stop logs remove auth sync sync-projects sync-all sync-all-reverse projects searxng ollama qa test test-e2e train train-init
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COMPOSE = docker compose
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@@ -127,4 +127,9 @@ test-e2e:
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# Achtung: jeder Trial ist ein echter Mini-Lauf (MiniMax-Tokens, Minuten).
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train:
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@set -a; [ -f .env ] && . ./.env; set +a; \
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cd backend && python3 train.py --trials $(or $(TRIALS),40) --stunden $(or $(STUNDEN),12)
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cd backend && python3 train.py --trials $(or $(TRIALS),40) --stunden $(or $(STUNDEN),12) --ameisen $(or $(AMEISEN),3)
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# Frozen-Inventar-Vorlage für das Training bauen (einmalig, echter Mini-Lauf)
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train-init:
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@set -a; [ -f .env ] && . ./.env; set +a; \
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cd backend && python3 train.py --init
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