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train_manifest.json

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+{
+  "model_architecture": "ModernBERT-base + GLiClass-v2",
+  "parameters": 151378177,
+  "epochs": 3,
+  "batch_size": 8,
+  "effective_batch_size": 32,
+  "loss_function": "CE + 1.0 * Brier (Proper Scoring Rule)",
+  "best_val_accuracy": 0.916,
+  "best_val_brier": 0.14476502459392804,
+  "total_training_seconds": 890.8729033339769,
+  "device": "mps",
+  "seed": 42,
+  "history": [
+    {
+      "epoch": 1,
+      "loss": 0.7002463370840672,
+      "duration_seconds": 187.50134408398299,
+      "val_accuracy": 0.912,
+      "val_nll": 0.28261535387201003,
+      "val_brier": 0.13870139930316006,
+      "val_abstention_recall": 0.7
+    },
+    {
+      "epoch": 2,
+      "loss": 0.3043837643386717,
+      "duration_seconds": 410.2843042499735,
+      "val_accuracy": 0.914,
+      "val_nll": 0.33189805979731135,
+      "val_brier": 0.14128431582010045,
+      "val_abstention_recall": 0.76
+    },
+    {
+      "epoch": 3,
+      "loss": 0.17339985286297752,
+      "duration_seconds": 231.39272208398324,
+      "val_accuracy": 0.916,
+      "val_nll": 0.34274674178674064,
+      "val_brier": 0.14476502459392804,
+      "val_abstention_recall": 0.81
+    }
+  ]
+}