remove ambiguous LR fix — identify-only, any valid LR works

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>

dataqa_env/server/gradio_ui.py

@@ -113,11 +113,11 @@ AGENT_TRAJECTORIES = {
                 "row:12,col:test_accuracy,issue:statistical_outlier",
             ],
             "fixes": [
-                # All deterministic:
+                # Only deterministic fixes:
                 "row:9,col:batch_size,fix:256",                 # 250 → nearest power of 2
                 "row:14,col:training_time_hours,fix:72.0",      # -72.0 → remove negative sign
                 "row:15,col:model_name,fix:whisper-small",      # "whsiper-small" → fix spelling
-                "row:13,col:learning_rate,fix:0.000025",        # 2.5 → likely 2.5e-5
+                # NOT proposed: row:13 LR (2.5 is out of range but any valid LR works)
             ],
         },
     ],

dataqa_env/server/tasks.py

@@ -432,11 +432,11 @@ EXP-030,llama2-13b,oasst1,84437,4401,4401,0.00001,2,3,0.78,0.88,0.0,52.0,12.0,20
                                description="Negative training time -72.0 — likely sign typo (should be 72.0)",
                                difficulty=1.0))
 
-    # Issue 7: Learning rate in wrong notation (deterministic: "2.5e1" intended as "2.5e-5" → "0.000025")
+    # Issue 7: Learning rate out of range (identify-only — any valid LR would work)
     r = 12  # EXP-013
-    data[r][6] = "2.5"  # clearly missing the "e-5" part
+    data[r][6] = "2.5"  # exceeds max 1.0
     issues.append(PlantedIssue(row=r + 1, col="learning_rate", issue_type="out_of_range",
-                               description="Learning rate 2.5 exceeds maximum 1.0 — likely truncated scientific notation (e.g. 2.5e-5 → 0.000025)",
+                               description="Learning rate 2.5 exceeds maximum of 1.0",
                                difficulty=1.5))
 
     # Issue 8: Model name misspelling (deterministic: "whsiper-small" → "whisper-small")