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model_metadata.json

@@ -8,7 +8,7 @@
     ],
     "num_labels": 5,
     "environment": {
-        "python": "3.11.14 (main, Oct  9 2025, 16:16:55) [Clang 17.0.0 (clang-1700.0.13.3)]",
+        "python": "3.11.14 (main, Oct  9 2025, 16:16:55) [Clang 17.0.0 (clang-1700.4.4.1)]",
         "scikit-learn": "1.8.0",
         "setfit": "1.1.3",
         "torch": "2.9.1"
@@ -16,7 +16,7 @@
     "base_model": "BAAI/bge-base-en-v1.5",
     "serialization": "safetensors",
     "training_config": {
-        "batch_size": 4,
+        "batch_size": 16,
         "num_epochs": [
             1,
             16
@@ -33,16 +33,16 @@
         "model_description": "SetFit model with 109,482,240 total parameters (417.6 MB)"
     },
     "evaluation_metrics": {
-        "accuracy": 0.9,
-        "f1_weighted": 0.8984430773904458,
-        "f1_macro": 0.8984430773904458,
-        "precision_weighted": 0.9060606060606061,
-        "precision_macro": 0.906060606060606,
-        "recall_weighted": 0.9,
-        "recall_macro": 0.9
+        "accuracy": 0.88,
+        "f1_weighted": 0.8805050505050506,
+        "f1_macro": 0.8805050505050506,
+        "precision_weighted": 0.8883333333333333,
+        "precision_macro": 0.8883333333333333,
+        "recall_weighted": 0.88,
+        "recall_macro": 0.8799999999999999
     },
     "training_summary": {
         "epochs_trained": 5,
-        "final_loss": 0.0648
+        "final_loss": 0.0893
     }
 }