[Run 20260605_235503] Log metrics

metrics/run_20260605_235503_metrics.json

@@ -0,0 +1,47 @@
+{
+  "run_id": "20260605_235503",
+  "hyperparameters": {
+    "model_architecture": "aubmindlab/bert-base-arabertv2",
+    "task": "sequence-classification",
+    "dataset": "Arabic Hate Speech",
+    "learning_rate": 3e-05,
+    "batch_size": 16,
+    "num_epochs": 3,
+    "max_seq_length": 128,
+    "early_stopping_patience": 2,
+    "optimizer": "AdamW",
+    "seed": 42
+  },
+  "per_epoch_results": [
+    {
+      "epoch": 1,
+      "train_loss": 0.2090068015559887,
+      "val_loss": 0.18567448195442557,
+      "val_accuracy": 0.9295,
+      "val_f1": 0.93097405498692,
+      "val_precision": 0.9380544767525866,
+      "val_recall": 0.9295
+    },
+    {
+      "epoch": 2,
+      "train_loss": 0.0802065824691827,
+      "val_loss": 0.20281024437304587,
+      "val_accuracy": 0.92975,
+      "val_f1": 0.9313440300209913,
+      "val_precision": 0.9397859146511265,
+      "val_recall": 0.92975
+    },
+    {
+      "epoch": 3,
+      "train_loss": 0.12720121968719178,
+      "val_loss": 0.6160321259200573,
+      "val_accuracy": 0.82525,
+      "val_f1": 0.8313591428238776,
+      "val_precision": 0.8577250757962904,
+      "val_recall": 0.82525
+    }
+  ],
+  "best_val_f1": 0.9313440300209913,
+  "best_epoch": 2,
+  "notes": "Stopped early. LR=3e-05, Batch=16"
+}