docs: add Benchmark / Training metrics section

README.md

@@ -66,6 +66,24 @@ print(generate(model, tokenizer, prompt="..."))
 
 For per-sample provenance and attribution status, consult the dataset card.
 
+## Benchmark roadmap
+
+This LoRA has **not yet been evaluated** through `electron-bench` (the current
+pipeline supports `gemma-4-E4B` base only). Training was completed with the
+standard `mlx-lm` LoRA trainer (rank 16, alpha 32, scale 2.0, AdamW
+LR 1e-5, 500 iters) — full hyperparameters are in the `Training` table above.
+
+Planned evaluations:
+
+- Perplexity on the validation split of the training data
+- Functional benchmark on **devstral**-specific tasks
+- Comparison vs base `mistralai/Devstral-Small-2-24B-Instruct-2512`
+
+Track progress: [ailiance-bench issues](https://github.com/ailiance/ailiance-bench/issues).
+
+For reference benchmarks on the `gemma-4-E4B` base, see the
+[base-vs-LoRA matrix](https://github.com/ailiance/ailiance-bench/blob/main/bench-results/compare_base_vs_lora.md).
+
 ## License chain
 
 | Component                         | License           |