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[Wave 3] Medium — TR mirror: docs/usermanuals/en/reference/ #641
Description
Wave 3 · 8 finding(s) in 8 fix package(s). Mirror drift across small document pairs in this directory.
Findings
-
DOC-TR10-052 (TR mirror, Medium) — TR mirror drift in docs/usermanuals/en/reference/library-api.md: Anything the CLI does, the library can do - minus the exit-code mapping.
severity Medium
Where. ENdocs/usermanuals/en/reference/library-api.md:8· TRdocs/usermanuals/tr/reference/library-api.md:8
English text. Anything the CLI does, the library can do - minus the exit-code mapping.
Turkish text. CLI'nin yaptığı her şeyi kütüphane yapabilir — exit-code eşlemesi hariç.
Which is correct. neither
Proposed correction (Turkish text for the -tr page). 'Eğitim, veri denetimi, PII/secret maskeleme, doğrulama (verify_*), benchmark ve sentetik veri üretimi kütüphaneden çağrılabilir;export,deploy,purge,reverse-pii,approve/reject,safety-eval,ingest,doctorvequickstartise yalnızca CLI alt komutları olarak sunulur (public API değil).' -
DOC-TR10-053 (TR mirror, Medium) — TR mirror drift in docs/usermanuals/en/reference/performance.md: evaluation.safety.batch_size: pad-longest batching for the Llama Guard classifier. Default 8.
severity Medium
Where. ENdocs/usermanuals/en/reference/performance.md:22· TRdocs/usermanuals/tr/reference/performance.md:22
English text. evaluation.safety.batch_size: pad-longest batching for the Llama Guard classifier. Default 8.
Turkish text. Llama Guard classifier için pad-longest batching. Varsayılan 8.
Which is correct. neither; default 8 is right, the target is wrong
Proposed correction (Turkish text for the -tr page). 'İncelenen (fine-tune edilmiş) modelin güvenlik probe yanıtlarını üretirken kullandığı pad-longest batch boyutu. Varsayılan8. Llama Guard sınıflandırıcısı bu ayardan bağımsız, prompt başına tek tek çağrılır.' -
DOC-TR10-054 (TR mirror, Medium) — TR mirror drift in docs/usermanuals/en/reference/performance.md: evaluation.llm_judge.batch_size is for local-model judging and irrelevant when judging via API
severity Medium
Where. ENdocs/usermanuals/en/reference/performance.md:26· TRdocs/usermanuals/tr/reference/performance.md:26
English text. evaluation.llm_judge.batch_size is for local-model judging and irrelevant when judging via API
Turkish text. Local-model judging için ... API üzerinden judging yaparken alakasızdır
Which is correct. neither
Proposed correction (Turkish text for the -tr page). 'Judge eval setindeki yanıtları ÜRETEN fine-tune edilmiş modelin batch boyutudur; judge yerel de olsa API de olsa geçerlidir (judge çağrısı prompt başına yapılır).' -
DOC-TR10-055 (TR mirror, Medium) — TR mirror drift in docs/usermanuals/en/reference/performance.md: ### ingestion.strategy presented as a config knob
severity Medium · already tracked: KNOWN-OPEN C31-DOC-SCHEMA-PROSE docs/roadmap/phase-16-trust-surface-hardening.md:785-786
Where. ENdocs/usermanuals/en/reference/performance.md:28-30· TRdocs/usermanuals/tr/reference/performance.md:28-30
English text. ### ingestion.strategy presented as a config knob
Turkish text. ###ingestion.strategy
Which is correct. neither
Proposed correction (Turkish text for the -tr page). Başlığıforgelm ingest --strategyyapın ve 'YAML alanı değil, CLI bayrağıdır; varsayılanparagraph' notunu ekleyin. -
DOC-TR10-056 (TR mirror, Medium) — TR mirror drift in docs/usermanuals/en/reference/performance.md: Three orthogonal tools to fit a model ... for fitting, not speed
severity Medium
Where. ENdocs/usermanuals/en/reference/performance.md:32-34· TRdocs/usermanuals/tr/reference/performance.md:32-34
English text. Three orthogonal tools to fit a model ... for fitting, not speed
Turkish text. Bunlar sığdırmak içindir, hız için değil
Which is correct. neither for sample packing
Proposed correction (Turkish text for the -tr page). 4-bit ve GaLore bellek kollarıdır;training.packingise bellekten bağımsız bir throughput kolu (kısa örnek derlemlerinde yaklaşık %30-50 daha hızlı, doğru attention maskesi gerekir). -
DOC-TR10-057 (TR mirror, Medium) — TR mirror drift in docs/usermanuals/en/reference/yaml-templates.md: grpo-math: reward-model fine-tuning; forgelm/grpo_rewards.py ships an always-on format/length reward fallback
severity Medium
Where. ENdocs/usermanuals/en/reference/yaml-templates.md:27,141-170 · TRdocs/usermanuals/tr/reference/yaml-templates.md:27,141-172
English text. grpo-math: reward-model fine-tuning; forgelm/grpo_rewards.py ships an always-on format/length reward fallback
Turkish text. yerleşik format/length reward shaping; her zaman aktif bir format/length reward fallback'i ship eder
Which is correct. neither
Proposed correction (Turkish text for the -tr page). 'GRPO, yerleşik ödüllerle:grpo_reward_modelayarlı DEĞİLSE format/uzunluk ödülü (ve verigold_answertaşıyorsa doğruluk ödülü) kullanılır;grpo_reward_modelverilirse yalnızca o sınıflandırıcı ödülü kullanılır, yerleşik ödüller devre dışı kalır.' Örnek, şablonun (Qwen2.5-Math-7B-Instruct, 2 epoch, lr 5e-6) kısaltılmış kopyası değildir. -
DOC-TR10-058 (TR mirror, Medium) — TR mirror drift in docs/usermanuals/en/reference/yaml-templates.md: The five wire-format webhook events fire without a separate event-subscription list; the three notify_on_* flags are the entire sur…
severity Medium
Where. ENdocs/usermanuals/en/reference/yaml-templates.md:136-139· TRdocs/usermanuals/tr/reference/yaml-templates.md:137-140
English text. The five wire-format webhook events fire without a separate event-subscription list; the three notify_on_* flags are the entire surface
Turkish text. Beş wire-format webhook event'i ... üç notify_on_* flag'i tüm yüzeydir
Which is correct. neither
Proposed correction (Turkish text for the -tr page). 'Webhook sözlüğü 8 olaydan oluşur (training.start/success/failure/reverted,approval.required,pipeline.started/completed/stage_reverted). Üçnotify_on_*bayrağı bunları şöyle eşler: start ->notify_on_start; success veapproval.required->notify_on_success; failure,training.revertedvepipeline.stage_reverted->notify_on_failure.notify_on_success: falseonay bekleme bildirimini de susturur.' -
DOC-TR10-059 (TR mirror, Medium) — TR mirror drift in docs/usermanuals/en/reference/yaml-templates.md: grpo_reward_model: "my_reward.score" # optional - falls back to built-in format/length shaping
severity Medium
Where. ENdocs/usermanuals/en/reference/yaml-templates.md:166· TRdocs/usermanuals/tr/reference/yaml-templates.md:167
English text. grpo_reward_model: "my_reward.score" # optional - falls back to built-in format/length shaping
Turkish text. grpo_reward_model: "my_reward.score" # opsiyonel — yerleşik ... fallback'ine düşer
Which is correct. neither
Proposed correction (Turkish text for the -tr page).grpo_reward_model: "OpenAssistant/reward-model-deberta-v3-large-v2" # opsiyonel — HF sınıflandırıcı model kimliği; boş bırakılırsa yerleşik format/uzunluk ödülü kullanılır
Done when
- Every finding above is fixed or closed with a reason (tick it here).
- Code fixes carry a test; doc fixes update the Turkish mirror in the same PR.
Found by the October 2026 ForgeLM code and documentation review against commit cab2947. Code links point at that commit; line numbers may have moved since. Finding IDs (CR-…, DOC-…, TECH-…) are stable references for this backlog.
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