Update README.md

README.md

@@ -23,10 +23,9 @@ pinned: false
 | 🧠 **Merged model (deployable)** | [`Yaswanth-Bolla/qwen-merged`](https://huggingface.co/Yaswanth-Bolla/qwen-merged) |
 | 🧩 **LoRA adapter (post-GRPO)** | [`daemongg/qwen2.5-7b-sre-grpo`](https://huggingface.co/daemongg/qwen2.5-7b-sre-grpo) |
 | 🏗️ **Base model** | [`Qwen/Qwen2.5-7B-Instruct`](https://huggingface.co/Qwen/Qwen2.5-7B-Instruct) |
-| 📒 **Training logs + scripts** | [`./logger/`](./logger/) |
-| 📊 **Ablation results** | [`./ablation.md`](./ablation.md) |
+| 📒 **Logs + scripts** | [`logger`](https://huggingface.co/spaces/Meta-HF-hackathon/updated-policy/tree/main/logger) |
 
-> ⚠️ **Note on training infrastructure.** We ran the full pipeline (SFT, GRPO, merge) on **HuggingFace Jobs** (A100-40GB) instead of a Colab notebook — Colab's free + Pro tiers OOM'd on the 7B base + reference model + GRPO group buffers. The **complete training logs and the exact scripts we executed** are committed under [`./logger/`](./logger/) (`sft_finetune.log`, `grpo_finetune.log`, `merge.log`, `trajectory.log`, `ablation.log`, plus the `.py` scripts that produced them) so the run is reproducible end-to-end.
+> ⚠️ **Note on training infrastructure.** We ran the full pipeline (SFT, GRPO, merge) on **HuggingFace Jobs** (A100-40GB) instead of a Colab notebook — Colab's free + Pro tiers OOM'd on the 7B base + reference model + GRPO group buffers. The **complete training logs and the exact scripts we executed** are committed under [`./logger/`](https://huggingface.co/spaces/Meta-HF-hackathon/updated-policy/tree/main/logger) (`sft_finetune.log`, `grpo_finetune.log`, `merge.log`, `trajectory.log`, `ablation.log`, plus the `.py` scripts that produced them) so the run is reproducible end-to-end.
 
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