Upload variant_a/scripts/print_results.py with huggingface_hub

variant_a/scripts/print_results.py

@@ -0,0 +1,42 @@
+#!/usr/bin/env python3
+"""Print results summary from eval JSON."""
+import json, sys
+
+path = sys.argv[1] if len(sys.argv) > 1 else '/dev/shm/eval/results_a/full_results.json'
+with open(path) as f:
+    data = json.load(f)
+
+if 'results' not in data:
+    print("No results found!")
+    sys.exit(1)
+
+scores = []
+for task, metrics in sorted(data['results'].items()):
+    found = False
+    for key in ['acc_norm', 'acc', 'f1', 'exact_match']:
+        # Try both plain key and key,none suffix
+        for k in [key, f'{key},none']:
+            if k in metrics:
+                val = metrics[k]
+                if isinstance(val, (int, float)):
+                    print(f"  {task}: {key} = {val:.4f} ({val*100:.2f}%)")
+                    scores.append(val)
+                    found = True
+                    break
+        if found:
+            break
+    if not found:
+        # Print whatever numeric metrics exist
+        for k, v in metrics.items():
+            if isinstance(v, (int, float)) and not k.startswith('alias'):
+                print(f"  {task}: {k} = {v:.4f}")
+
+if scores:
+    avg = sum(scores) / len(scores)
+    print(f"\n  Average: {avg:.4f} ({avg*100:.2f}%)")
+    print(f"  Baseline (IQ2_XXS): 61.34%")
+    print(f"  FP16 Instruct:      65.71%")
+    if avg * 100 > 61.34:
+        print(f"  >>> BEATS BASELINE by {avg*100 - 61.34:.2f}pp <<<")
+    else:
+        print(f"  >>> Below baseline by {61.34 - avg*100:.2f}pp <<<")