Add training_metadata.json

training_metadata.json

@@ -1,6 +1,6 @@
 {
   "model_name": "camembert-base",
-  "run_name": "camembert-pcg-full-v1",
+  "run_name": "camembert-pcg-annotation",
   "dataset": "data/camembert_dataset.csv",
   "corpus": "data/camembert_corpus.csv",
   "class_weight": "balanced",
@@ -738,38 +738,38 @@
     "999": 363
   },
   "val_metrics": {
-    "val_loss": 5.862297534942627,
-    "val_accuracy": 0.019,
-    "val_top3_accuracy": 0.02332,
-    "val_top5_accuracy": 0.03576,
-    "val_precision": 0.0003616765747913289,
-    "val_recall": 0.019,
-    "val_f1_weighted": 0.0007098408956982911,
-    "val_f1_macro": 0.0001357118622881734,
-    "val_runtime": 37.7045,
-    "val_samples_per_second": 1326.103,
-    "val_steps_per_second": 41.454,
-    "epoch": 0.03517720517104916
+    "val_loss": 1.9741467237472534,
+    "val_accuracy": 0.55294,
+    "val_top3_accuracy": 0.75492,
+    "val_top5_accuracy": 0.82854,
+    "val_precision": 0.5827240819078662,
+    "val_recall": 0.55294,
+    "val_f1_weighted": 0.5500032304050847,
+    "val_f1_macro": 0.31635800984295837,
+    "val_runtime": 38.6208,
+    "val_samples_per_second": 1294.639,
+    "val_steps_per_second": 40.47,
+    "epoch": 5.0
   },
   "test_metrics": {
-    "test_loss": 5.8624138832092285,
-    "test_accuracy": 0.0191,
-    "test_top3_accuracy": 0.02332,
-    "test_top5_accuracy": 0.03522,
-    "test_precision": 0.0003654258725584374,
-    "test_recall": 0.0191,
-    "test_f1_weighted": 0.0007171314115151991,
-    "test_f1_macro": 0.00013347641632454308,
-    "test_runtime": 37.6517,
-    "test_samples_per_second": 1327.962,
-    "test_steps_per_second": 41.512,
-    "epoch": 0.03517720517104916
+    "test_loss": 1.9147313833236694,
+    "test_accuracy": 0.55678,
+    "test_top3_accuracy": 0.75554,
+    "test_top5_accuracy": 0.83078,
+    "test_precision": 0.5880152505667232,
+    "test_recall": 0.55678,
+    "test_f1_weighted": 0.5543523342675079,
+    "test_f1_macro": 0.3073385386544288,
+    "test_runtime": 38.1853,
+    "test_samples_per_second": 1309.404,
+    "test_steps_per_second": 40.932,
+    "epoch": 5.0
   },
-  "test_accuracy": 0.0191,
-  "test_top3_accuracy": 0.02332,
-  "test_top5_accuracy": 0.03522,
-  "test_f1_weighted": 0.0007171314115151991,
-  "test_f1_macro": 0.00013347641632454308,
-  "trained_at": "2026-02-18T22:57:18.702131",
+  "test_accuracy": 0.55678,
+  "test_top3_accuracy": 0.75554,
+  "test_top5_accuracy": 0.83078,
+  "test_f1_weighted": 0.5543523342675079,
+  "test_f1_macro": 0.3073385386544288,
+  "trained_at": "2026-02-19T05:49:59.040633",
   "seed": 42
 }