Update to complete model with 57,768 embedded prototypes

training_metadata.json

@@ -1,52 +1,11 @@
 {
-  "model_info": {
-    "name": "conservative_medical_phase2_20250724_024052",
-    "type": "conservative_few_shot_prototypical",
-    "phase": 2,
-    "base_model": "emilyalsentzer/Bio_ClinicalBERT"
-  },
-  "performance": {
-    "top_1_accuracy": 0.463,
-    "top_3_accuracy": "~0.52",
-    "top_5_accuracy": "~0.54",
-    "baseline_improvement": "+6.8pp",
-    "baseline_accuracy": 0.395
-  },
-  "architecture": {
-    "embedding_dim": 768,
-    "pooling_strategy": "cls_plus_mean",
-    "prototype_method": "ensemble_attention",
-    "loss_function": "simple_triplet"
-  },
-  "optimizations": {
-    "phase_1": "larger_embeddings_enhanced_pooling",
-    "phase_2": "ensemble_prototypes_attention_aggregation",
-    "conservative_approach": true,
-    "stable_training": true
-  },
-  "deployment": {
-    "ready": true,
-    "requires_dataset": false,
-    "self_contained": true,
-    "num_medical_codes": "~57000"
-  },
-  "usage": {
-    "input": "clinical_notes_text",
-    "output": "top_k_medical_codes",
-    "recommended_top_k": [
-      1,
-      3,
-      5,
-      10
-    ],
-    "inference_method": "prototype_similarity"
-  },
-  "training": {
-    "epochs": 3,
-    "stable_loss": true,
-    "no_collapse": true,
-    "incremental_improvement": true
-  },
-  "timestamp": "20250724_024052",
-  "version": "2.0"
+  "model_name": "medicoder_complete_with_prototypes_20250724_144414",
+  "performance": "46.3% Top-1 accuracy",
+  "num_prototypes": 57768,
+  "num_medical_codes": 57768,
+  "embedding_dim": 768,
+  "deployment_ready": true,
+  "contains_prototypes": true,
+  "phase": 2,
+  "timestamp": "20250724_144414"
 }