Recompute metrics batch 12

Llama8B/trainingExperiments/sftLora/Mix/50/v1/experiments/qlora_50_20260318_205806/metrics_new.json

@@ -9,6 +9,13 @@
     "recall": 0.9022435897435898,
     "f1": 0.9008
   },
+  "span_level": {
+    "precision": 0.9057507987220448,
+    "recall": 0.9086538461538461,
+    "f1": 0.9072,
+    "iou_threshold": 0.5
+  },
+  "f1_s": 0.9072,
   "spriv": 0.016025641025641024,
   "domain_accuracy": 0.9911504424778761,
   "general_accuracy": 0.9754385964912281,

Llama8B/trainingExperiments/sftLora/Mix/50/v1/metrics_test_new.json

@@ -9,6 +9,13 @@
     "recall": 0.9004815409309791,
     "f1": 0.9085020242914978
   },
+  "span_level": {
+    "precision": 0.9166666666666666,
+    "recall": 0.9004815409309791,
+    "f1": 0.9085020242914978,
+    "iou_threshold": 0.5
+  },
+  "f1_s": 0.9085020242914978,
   "spriv": 0.025682182985553772,
   "domain_accuracy": 0.9881656804733728,
   "general_accuracy": 0.9578947368421052,

Llama8B/trainingExperiments/sftLora/Mix/50/v2/experiments/qlora_50_v2_20260318_210115/metrics_new.json

@@ -9,6 +9,13 @@
     "recall": 0.7339743589743589,
     "f1": 0.7281399046104928
   },
+  "span_level": {
+    "precision": 0.7523659305993691,
+    "recall": 0.7644230769230769,
+    "f1": 0.7583465818759936,
+    "iou_threshold": 0.5
+  },
+  "f1_s": 0.7583465818759936,
   "spriv": 0.027243589743589744,
   "domain_accuracy": 0.9793510324483776,
   "general_accuracy": 0.9649122807017544,