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task2_ssm/tuning/tuning_report.txt

@@ -1,28 +1,31 @@
 ======================================================================
 SSM NWP HYPERPARAMETER TUNING REPORT
 ======================================================================
-Date: 2026-03-25 02:04:30
-Total trials: 1
+Date: 2026-03-26 23:03:23
+Total trials: 4
 Tune epochs per trial: 10
 Early stopping patience: 5
 
 BEST CONFIGURATION:
-  model.state_size: 32
-  model.num_layers: 2
+  model.state_size: 128
+  model.num_layers: 4
   model.input_size: 64
   model.dropout: 0.1
   training.learning_rate: 0.001
-  training.batch_size: 64
-  training.epochs: 50
-  Val Accuracy:  0.388911
-  Val Loss:      2.024374
-  Best Epoch:    37
-  Parameters:    15,797
-  Model:         models/ssm_ss32_nl2_emb64_do0.1_lr0.001_bs64_ep50.pt
+  training.batch_size: 32
+  training.epochs: 20
+  Val Accuracy:  0.163124
+  Val Loss:      5.927750
+  Best Epoch:    13
+  Parameters:    2,730,656
+  Model:         models/ssm_ss128_nl4_emb64_do0.1_lr0.001_bs32_ep20.pt
 
 ======================================================================
 FULL RANKING (by validation accuracy)
 ======================================================================
 Rank |  Val Acc | Val Loss | Epochs |     Params | Model File
 ----------------------------------------------------------------------
-   1 |   0.3889 |   2.0244 |     42 |     15,797 | ssm_ss32_nl2_emb64_do0.1_lr0.001_bs64_ep50
+   1 |   0.1631 |   5.9277 |     18 |  2,730,656 | ssm_ss128_nl4_emb64_do0.1_lr0.001_bs32_ep20
+   2 |   0.1613 |   5.9340 |     16 |  2,697,632 | ssm_ss64_nl4_emb64_do0.1_lr0.001_bs32_ep20
+   3 |   0.1595 |   6.0307 |     16 |  2,638,880 | ssm_ss64_nl2_emb64_do0.1_lr0.001_bs32_ep20
+   4 |   0.1591 |   6.0096 |     14 |  2,655,392 | ssm_ss128_nl2_emb64_do0.1_lr0.001_bs32_ep20