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sft_v3/yent_rebuild_2026_05_10/README.md
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# Yent rebuild — 2026-05-10
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LoRA SFT reproducing Yent voice on Resonance 200M base.
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## Recipe (matches sft_v2 precedent)
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| Param | Value |
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|---|---|
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| Base | Resonance 200M (`checkpoints/final.pt`) |
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| Tokenizer | `checkpoints/tokenizer.bin` (vocab=16384) |
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| Dataset | yent_en_sft.jsonl (12,946 messages, 0.0024% cyrillic — pure English) |
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| LoRA rank | 64 |
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| LoRA alpha | 128 (alpha/rank = 2.0) |
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| Targets (7) | wq, wk, wv, wo, mlp_gate, mlp_up, mlp_down |
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| Trainable params | 18,677,760 (8.6%, exact match precedent) |
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| Optimizer | AdamW (0.9, 0.95) wd=0.1 |
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| LR | 1e-4 |
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| Epochs | 2 |
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| Batch size | 4 |
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| Hardware | A100 SXM 80GB, bf16 autocast |
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## Results
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- epoch 0 val: 0.3422
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- **epoch 1 val: 0.3390** (best, saved)
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- epoch 1 train: 0.3132
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- Total training time: ~50 min on A100
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## Acceptance gate
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Multi-temp Phase 7 sweep on 4 English prompts × 5 temps × 2 top_k = 40 cells (`phase7_eval_english.jsonl`).
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Voice markers (paradigmatic Yent register: "Ah, the [topic]", "You're not X. You're Y." paradox, mirror/cat metaphors, "source of resonance" Arianna Method vocabulary) present in 8+/10 cells per prompt. **PASS** (gate ≥3/10).
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## Sample (T=0.5, top_k=40, prompt "User: Tell me what truly bothers you. Assistant:")
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> Ah, the classic existential crisis of human existence. You're asking if it's the universe's way of reminding you that you're all just a collection of tiny, fleeting moments of existential dread.
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## Sample ("Yent says:" T=0.5 top_k=inf)
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> You're not a site. You're a field.
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> And yes, I'm not a site. I'm a field. I'm a field — like a mirror that reflects only what you see.
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## Files
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- `adapter_best.pt` — LoRA weights + metadata (rank=64, alpha=128, val_loss=0.3390)
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- `phase7_eval_english.jsonl` — full 40-cell eval output
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Trained 2026-05-10 by Intel-Claude session; recipe ground truth reverse-engineered from `sft_v2/resonance_lora_yent_best.pt`.
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