Update model card: drop removed 9B ep20 arm

README.md

@@ -29,8 +29,8 @@ designcoder_{basemodel}_{size}_{optimizer}_bs{global_batch}[_{extra_axes}]_step{
 - `basemodel` / `size`: base model family and parameter scale
 - `optimizer`: `muon` or `adamw`
 - `bs`: global batch size (`per_device × grad_accum × world_size`)
-- `extra_axes`: any hyper-parameter that deviates from the default recipe, e.g. `ep20`
-  (epochs, default 2) or `wd0.05` (weight decay, default 0.0)
+- `extra_axes`: any hyper-parameter that deviates from the default recipe, e.g. `wd0.05`
+  (weight decay, default 0.0) or `ep20` (epochs, default 2)
 - `step`: trainer `global_step` of the exported weights
 
 ## Checkpoints
@@ -40,7 +40,6 @@ designcoder_{basemodel}_{size}_{optimizer}_bs{global_batch}[_{extra_axes}]_step{
 | `designcoder_qwen3.5_4b_muon_bs32_step1900` | Qwen3.5-4B | Muon | 1e-5 | 32 | 2 | 0.0 | 1900 | smallest release |
 | `designcoder_qwen3.5_9b_muon_bs16_step3800` | Qwen3.5-9B | Muon | 1e-5 | 16 | 2 | 0.0 | 3800 | optimizer ablation (Muon arm) |
 | `designcoder_qwen3.5_9b_adamw_bs16_step3800` | Qwen3.5-9B | AdamW | 2e-5 | 16 | 2 | 0.0 | 3800 | optimizer ablation (AdamW arm) |
-| `designcoder_qwen3.5_9b_adamw_bs16_ep20_step38000` | Qwen3.5-9B | AdamW | 2e-5 | 16 | 20 | 0.0 | 38000 | epoch-scaling ablation; final train loss 2e-4, heavily memorized — released as an over-training reference, not as a general-purpose model |
 | `designcoder_qwen3.6_27b_adamw_bs32_step1900` | Qwen3.6-27B | AdamW | 1e-5 | 32 | 2 | 0.0 | 1900 | largest release |
 
 ## Shared training setup