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config.json

@@ -1,36 +1,26 @@
 {
-  "nt_model": "InstaDeepAI/nucleotide-transformer-v2-250m-multi-species",
-  "max_token_len": 32,
   "num_features": 42,
-  "batch_size": 32,
-  "grad_accum": 2,
-  "epochs": 12,
-  "lr_encoder": 2e-05,
-  "lr_heads": 0.001,
+  "batch_size": 128,
+  "epochs": 60,
+  "lr": 0.001,
   "weight_decay": 0.01,
-  "warmup_frac": 0.1,
+  "warmup_frac": 0.05,
   "grad_clip": 1.0,
-  "freeze_epochs": 2,
-  "unfreeze_layers": 4,
-  "patience": 3,
-  "loss_alpha": 0.45,
-  "loss_beta": 0.2,
-  "loss_gamma": 0.1,
-  "loss_delta": 0.15,
-  "loss_epsilon": 0.1,
-  "dropout": 0.1,
-  "fusion_dim": 512,
-  "head_dim": 256,
-  "cnn_channels": 64,
-  "best_spearman": 0.47261583384770267,
-  "total_epochs_trained": 12,
+  "patience": 10,
+  "loss_alpha": 0.55,
+  "loss_beta": 0.1,
+  "loss_gamma": 0.15,
+  "loss_delta": 0.1,
+  "dropout": 0.15,
+  "cnn_channels": 128,
+  "feat_hidden": 256,
+  "feat_out": 128,
+  "fusion_dim": 384,
+  "head_dim": 192,
+  "version": "3.0",
+  "best_spearman": 0.6571680304412763,
+  "total_epochs_trained": 53,
   "class_weight": 239.96774193548387,
-  "hidden_size": 768,
-  "version": "2.0",
-  "fixes": [
-    "robust_encoder_loading",
-    "offtarget_label_masking",
-    "rule_based_risk_regression",
-    "expanded_features_42"
-  ]
+  "architecture": "MultiScaleCNN_5branch_128ch + FeatureNet + DualHeads",
+  "total_params": 3062018
 }