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model1.tar.gz/model1.tar.gz

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model1.tar.gz/model1_dscnn_se_20260518_121438/training.log

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+[12:14:38] ======================================================================
+[12:14:38] MODEL 1: DS-CNN + SE + MultiScale — model1_dscnn_se_20260518_121438
+[12:14:38] GPUs: 1  Model: medium  Epochs: 5
+[12:14:38] Batch: 128  LR: 0.0003  Seed: 42
+[12:14:38] Output: /data/Platform_Build/V6_Experiment/Step5_Training_Data/Model1/runs/model1_dscnn_se_20260518_121438
+[12:14:38] ======================================================================
+[12:14:39] Dataset: train=620,448  val=77,554  test=77,554
+[12:14:39]   hey_ava             :     27,792
+[12:14:39]   hey_t_mobile        :     33,562
+[12:14:39]   hey_turkcell        :     49,736
+[12:14:39]   hey_cassandra       :     28,886
+[12:14:39]   hey_dtag            :     28,392
+[12:14:39]   negative            :    452,080
+[12:14:39] Model: 617,430 params, 2.36 MB
+[12:14:39] Class weights:
+[12:14:39]   hey_ava             : 1.3669
+[12:14:39]   hey_t_mobile        : 1.1319
+[12:14:39]   hey_turkcell        : 0.7638
+[12:14:39]   hey_cassandra       : 1.3152
+[12:14:39]   hey_dtag            : 1.3381
+[12:14:39]   negative            : 0.0840
+[12:14:40] 
+Starting training: 5 epochs, patience=15
+[12:14:40] Epoch   TrLoss   TrAcc   VaLoss   VaAcc    VaF1      FAR      FRR         LR   Time
+[12:14:40] ──────────────────────────────────────────────────────────────────────────────────────────

model1.tar.gz/model1_dscnn_se_20260518_122839/best_model.pt

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+size 7522255

model1.tar.gz/model1_dscnn_se_20260518_122839/training.log

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+[12:28:39] ======================================================================
+[12:28:39] MODEL 1: DS-CNN + SE + MultiScale — model1_dscnn_se_20260518_122839
+[12:28:39] GPUs: 1  Model: medium  Epochs: 5
+[12:28:39] Batch: 128  LR: 0.0003  Seed: 42
+[12:28:39] Output: /data/Platform_Build/V6_Experiment/Step5_Training_Data/Model1/runs/model1_dscnn_se_20260518_122839
+[12:28:39] ======================================================================
+[12:28:40] Dataset: train=620,448  val=77,554  test=77,554
+[12:28:40]   hey_ava             :     27,792
+[12:28:40]   hey_t_mobile        :     33,562
+[12:28:40]   hey_turkcell        :     49,736
+[12:28:40]   hey_cassandra       :     28,886
+[12:28:40]   hey_dtag            :     28,392
+[12:28:40]   negative            :    452,080
+[12:28:40] Model: 617,430 params, 2.36 MB
+[12:28:40] Class weights:
+[12:28:40]   hey_ava             : 1.3669
+[12:28:40]   hey_t_mobile        : 1.1319
+[12:28:40]   hey_turkcell        : 0.7638
+[12:28:40]   hey_cassandra       : 1.3152
+[12:28:40]   hey_dtag            : 1.3381
+[12:28:40]   negative            : 0.0840
+[12:28:41] 
+Starting training: 5 epochs, patience=15
+[12:28:41] Epoch   TrLoss   TrAcc   VaLoss   VaAcc    VaF1      FAR      FRR         LR   Time
+[12:28:41] ──────────────────────────────────────────────────────────────────────────────────────────
+[12:35:47]     1   0.2223   20.9%   0.0521   26.9%  33.57%  96.565%   0.000%   3.00e-04 425.8s
+[12:35:47]   ✓ Best model saved (F1=33.57%, FAR=96.565%, FRR=0.000%)
+[12:42:34]     2   0.0638   31.3%   0.0408   31.9%  37.28%  90.527%   0.010%   2.58e-04 407.3s
+[12:42:34]   ✓ Best model saved (F1=37.28%, FAR=90.527%, FRR=0.010%)

model1.tar.gz/model1_dscnn_se_20260518_124433/training.log

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+[12:44:33] ======================================================================
+[12:44:33] MODEL 1: DS-CNN + SE + MultiScale — model1_dscnn_se_20260518_124433
+[12:44:33] GPUs: 1  Model: medium  Epochs: 5
+[12:44:33] Batch: 128  LR: 0.0003  Seed: 42
+[12:44:33] Output: /data/Platform_Build/V6_Experiment/Step5_Training_Data/Model1/runs/model1_dscnn_se_20260518_124433
+[12:44:33] ======================================================================
+[12:44:33] Dataset: train=620,448  val=77,554  test=77,554
+[12:44:33]   hey_ava             :     27,792
+[12:44:33]   hey_t_mobile        :     33,562
+[12:44:33]   hey_turkcell        :     49,736
+[12:44:33]   hey_cassandra       :     28,886
+[12:44:33]   hey_dtag            :     28,392
+[12:44:33]   negative            :    452,080
+[12:44:33] Model: 617,430 params, 2.36 MB
+[12:44:34] Class weights:
+[12:44:34]   hey_ava             : 1.3669
+[12:44:34]   hey_t_mobile        : 1.1319
+[12:44:34]   hey_turkcell        : 0.7638
+[12:44:34]   hey_cassandra       : 1.3152
+[12:44:34]   hey_dtag            : 1.3381
+[12:44:34]   negative            : 0.0840
+[12:44:35] 
+Starting training: 5 epochs, patience=15
+[12:44:35] Epoch   TrLoss   TrAcc   VaLoss   VaAcc    VaF1      FAR      FRR         LR   Time
+[12:44:35] ──────────────────────────────────────────────────────────────────────────────────────────

model1.tar.gz/model1_dscnn_se_20260518_132913/best_model.pt

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+size 7522319

model1.tar.gz/model1_dscnn_se_20260518_132913/training.log

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+[13:29:13] ======================================================================
+[13:29:13] MODEL 1: DS-CNN + SE + MultiScale — model1_dscnn_se_20260518_132913
+[13:29:13] GPUs: 1  Model: medium  Epochs: 5
+[13:29:13] Batch: 128  LR: 0.0003  Seed: 42
+[13:29:13] Output: /data/Platform_Build/V6_Experiment/Step5_Training_Data/Model1/runs/model1_dscnn_se_20260518_132913
+[13:29:13] ======================================================================
+[13:29:14] Dataset: train=620,448  val=77,554  test=77,554
+[13:29:14]   hey_ava             :     27,792
+[13:29:14]   hey_t_mobile        :     33,562
+[13:29:14]   hey_turkcell        :     49,736
+[13:29:14]   hey_cassandra       :     28,886
+[13:29:14]   hey_dtag            :     28,392
+[13:29:14]   negative            :    452,080
+[13:29:14] Model: 617,430 params, 2.36 MB
+[13:29:14] Class weights:
+[13:29:14]   hey_ava             : 1.3669
+[13:29:14]   hey_t_mobile        : 1.1319
+[13:29:14]   hey_turkcell        : 0.7638
+[13:29:14]   hey_cassandra       : 1.3152
+[13:29:14]   hey_dtag            : 1.3381
+[13:29:14]   negative            : 0.0840
+[13:29:15] 
+Starting training: 5 epochs, patience=15
+[13:29:15] Epoch   TrLoss   TrAcc   VaLoss   VaAcc    VaF1      FAR      FRR         LR   Time
+[13:29:15] ──────────────────────────────────────────────────────────────────────────────────────────
+[14:40:43]     1   0.2271   20.6%   0.0521   28.3%  34.85%  94.661%   0.010%   3.00e-04 4288.2s
+[14:40:43]   ✓ Best model saved (F1=34.85%, FAR=94.661%, FRR=0.010%)
+[15:50:32]     2   0.0633   30.8%   0.0387   29.2%  35.74%  94.167%   0.005%   2.58e-04 4188.6s
+[15:50:32]   ✓ Best model saved (F1=35.74%, FAR=94.167%, FRR=0.005%)

model1.tar.gz/model1_dscnn_se_20260519_062549/.ipynb_checkpoints/training-checkpoint.log

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+[06:25:49] ======================================================================
+[06:25:49] MODEL 1: DS-CNN + SE + MultiScale — model1_dscnn_se_20260519_062549
+[06:25:49] GPUs: 1  Model: medium  Epochs: 200
+[06:25:49] Batch: 128  LR: 0.0003  Seed: 42
+[06:25:49] Output: /opt/app-root/src/data/aditya_wakeword/Step5_Training_Data/Model1/runs/model1_dscnn_se_20260519_062549
+[06:25:49] ======================================================================
+[06:25:50] Dataset: train=620,448  val=77,554  test=77,554
+[06:25:50]   hey_ava             :     27,792
+[06:25:50]   hey_t_mobile        :     33,562
+[06:25:50]   hey_turkcell        :     49,736
+[06:25:50]   hey_cassandra       :     28,886
+[06:25:50]   hey_dtag            :     28,392
+[06:25:50]   negative            :    452,080
+[06:25:50] Model: 617,430 params, 2.36 MB
+[06:25:50] Class weights:
+[06:25:50]   hey_ava             : 1.3669
+[06:25:50]   hey_t_mobile        : 1.1319
+[06:25:50]   hey_turkcell        : 0.7638
+[06:25:50]   hey_cassandra       : 1.3152
+[06:25:50]   hey_dtag            : 1.3381
+[06:25:50]   negative            : 0.0840
+[06:25:51] 
+Starting training: 200 epochs, patience=15
+[06:25:51] Epoch   TrLoss   TrAcc   VaLoss   VaAcc    VaF1      FAR      FRR         LR   Time
+[06:25:51] ──────────────────────────────────────────────────────────────────────────────────────────

model1.tar.gz/model1_dscnn_se_20260519_062549/best_model.pt

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+size 7521660

model1.tar.gz/model1_dscnn_se_20260519_062549/training.log

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+[06:25:49] ======================================================================
+[06:25:49] MODEL 1: DS-CNN + SE + MultiScale — model1_dscnn_se_20260519_062549
+[06:25:49] GPUs: 1  Model: medium  Epochs: 200
+[06:25:49] Batch: 128  LR: 0.0003  Seed: 42
+[06:25:49] Output: /opt/app-root/src/data/aditya_wakeword/Step5_Training_Data/Model1/runs/model1_dscnn_se_20260519_062549
+[06:25:49] ======================================================================
+[06:25:50] Dataset: train=620,448  val=77,554  test=77,554
+[06:25:50]   hey_ava             :     27,792
+[06:25:50]   hey_t_mobile        :     33,562
+[06:25:50]   hey_turkcell        :     49,736
+[06:25:50]   hey_cassandra       :     28,886
+[06:25:50]   hey_dtag            :     28,392
+[06:25:50]   negative            :    452,080
+[06:25:50] Model: 617,430 params, 2.36 MB
+[06:25:50] Class weights:
+[06:25:50]   hey_ava             : 1.3669
+[06:25:50]   hey_t_mobile        : 1.1319
+[06:25:50]   hey_turkcell        : 0.7638
+[06:25:50]   hey_cassandra       : 1.3152
+[06:25:50]   hey_dtag            : 1.3381
+[06:25:50]   negative            : 0.0840
+[06:25:51] 
+Starting training: 200 epochs, patience=15
+[06:25:51] Epoch   TrLoss   TrAcc   VaLoss   VaAcc    VaF1      FAR      FRR         LR   Time
+[06:25:51] ──────────────────────────────────────────────────────────────────────────────────────────
+[07:09:51]     1   0.4125    5.3%   0.4075    5.4%   1.71% 100.000%   0.000%   6.00e-05 2640.7s
+[07:09:52]   ✓ Best model saved (F1=1.71%, FAR=100.000%, FRR=0.000%)
+[07:56:21]     2   0.3998    5.3%   0.3931    4.7%   1.48% 100.000%   0.000%   9.00e-05 2789.3s
+[08:42:43]     3   0.3866    4.6%   0.3814    4.7%   1.48% 100.000%   0.000%   1.20e-04 2782.5s
+[09:28:08]     4   0.3778    4.6%   0.3752    4.6%   1.46% 100.000%   0.000%   1.50e-04 2724.9s

model1.tar.gz/model1_dscnn_se_20260520_121005/best_model.pt

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+size 7521660

model1.tar.gz/model1_dscnn_se_20260520_121005/test_results.json

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+{
+  "run_name": "model1_dscnn_se_20260520_121005",
+  "model_name": "Model1_DSCNN_SE_MultiScale",
+  "model_size": "medium",
+  "n_params": "617,430",
+  "best_epoch": 1,
+  "best_val_f1": 14.050503242232566,
+  "test_accuracy": 72.86535833096939,
+  "test_macro_f1": 14.050503242232566,
+  "test_far": 0.0,
+  "test_frr": 100.0,
+  "per_class_far": {
+    "hey_ava": 0.0,
+    "hey_t_mobile": 0.0,
+    "hey_turkcell": 0.0,
+    "hey_cassandra": 0.0,
+    "hey_dtag": 0.0
+  },
+  "per_class_frr": {
+    "hey_ava": 1.0,
+    "hey_t_mobile": 1.0,
+    "hey_turkcell": 1.0,
+    "hey_cassandra": 1.0,
+    "hey_dtag": 1.0
+  },
+  "confusion_matrix": [
+    [
+      0,
+      0,
+      0,
+      0,
+      0,
+      3473
+    ],
+    [
+      0,
+      0,
+      0,
+      0,
+      0,
+      4195
+    ],
+    [
+      0,
+      0,
+      0,
+      0,
+      0,
+      6217
+    ],
+    [
+      0,
+      0,
+      0,
+      0,
+      0,
+      3610
+    ],
+    [
+      0,
+      0,
+      0,
+      0,
+      0,
+      3549
+    ],
+    [
+      0,
+      0,
+      0,
+      0,
+      0,
+      56510
+    ]
+  ],
+  "classification_report": "               precision    recall  f1-score   support\n\n      hey_ava       0.00      0.00      0.00      3473\n hey_t_mobile       0.00      0.00      0.00      4195\n hey_turkcell       0.00      0.00      0.00      6217\nhey_cassandra       0.00      0.00      0.00      3610\n     hey_dtag       0.00      0.00      0.00      3549\n     negative       0.73      1.00      0.84     56510\n\n     accuracy                           0.73     77554\n    macro avg       0.12      0.17      0.14     77554\n weighted avg       0.53      0.73      0.61     77554\n",
+  "args": {
+    "model_size": "medium",
+    "epochs": 200,
+    "batch_size": 128,
+    "lr": 0.0003,
+    "min_lr": 1e-05,
+    "weight_decay": 0.01,
+    "warmup_epochs": 10,
+    "patience": 15,
+    "focal_gamma": 2.0,
+    "n_mels": 40,
+    "window_sec": 2.0,
+    "num_workers": 4,
+    "seed": 42,
+    "single_gpu": 2,
+    "port": "29500"
+  },
+  "class_names": [
+    "hey_ava",
+    "hey_t_mobile",
+    "hey_turkcell",
+    "hey_cassandra",
+    "hey_dtag",
+    "negative"
+  ]
+}

model1.tar.gz/model1_dscnn_se_20260520_121005/training.log

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+[12:10:05] ======================================================================
+[12:10:05] MODEL 1: DS-CNN + SE + MultiScale — model1_dscnn_se_20260520_121005
+[12:10:05] GPUs: 1  Model: medium  Epochs: 200
+[12:10:05] Batch: 128  LR: 0.0003  Seed: 42
+[12:10:05] Output: /opt/app-root/src/data/aditya_wakeword/Step5_Training_Data/Model1/runs/model1_dscnn_se_20260520_121005
+[12:10:05] ======================================================================
+[12:10:07] Dataset: train=620,448  val=77,554  test=77,554
+[12:10:07]   hey_ava             :     27,792
+[12:10:07]   hey_t_mobile        :     33,562
+[12:10:07]   hey_turkcell        :     49,736
+[12:10:07]   hey_cassandra       :     28,886
+[12:10:07]   hey_dtag            :     28,392
+[12:10:07]   negative            :    452,080
+[12:10:08] Model: 617,430 params, 2.36 MB
+[12:10:08] Class weights:
+[12:10:08]   hey_ava             : 1.2306
+[12:10:08]   hey_t_mobile        : 1.1198
+[12:10:08]   hey_turkcell        : 0.9199
+[12:10:08]   hey_cassandra       : 1.2071
+[12:10:08]   hey_dtag            : 1.2175
+[12:10:08]   negative            : 0.3051
+[12:10:08] 
+Starting training: 200 epochs, patience=15
+[12:10:08] Epoch   TrLoss   TrAcc   VaLoss   VaAcc    VaF1      FAR      FRR         LR   Time
+[12:10:08] ──────────────────────────────────────────────────────────────────────────────────────────
+[12:17:16]     1   0.4722   72.8%   0.4711   72.9%  14.05%   0.000% 100.000%   6.00e-05 428.0s
+[12:17:16]   ✓ Best model saved (F1=14.05%, FAR=0.000%, FRR=100.000%)
+[12:24:11]     2   0.4706   72.9%   0.4703   72.9%  14.05%   0.000% 100.000%   9.00e-05 414.1s
+[12:31:10]     3   0.4704   72.9%   0.4703   72.9%  14.05%   0.000% 100.000%   1.20e-04 419.4s
+[12:37:54]     4   0.4703   72.9%   0.4703   72.9%  14.05%   0.000% 100.000%   1.50e-04 403.6s
+[12:44:40]     5   0.4703   72.9%   0.4703   72.9%  14.05%   0.000% 100.000%   1.80e-04 406.5s
+[12:51:36]     6   0.4703   72.9%   0.4703   72.9%  14.05%   0.000% 100.000%   2.10e-04 415.7s
+[12:58:35]     7   0.4703   72.9%   0.4703   72.9%  14.05%   0.000% 100.000%   2.40e-04 418.9s
+[13:05:17]     8   0.4703   72.9%   0.4703   72.9%  14.05%   0.000% 100.000%   2.70e-04 402.2s
+[13:11:51]     9   0.4703   72.9%   0.4703   72.9%  14.05%   0.000% 100.000%   3.00e-04 394.0s
+[13:18:43]    10   0.4703   72.9%   0.4703   72.9%  14.05%   0.000% 100.000%   3.00e-04 412.7s
+[13:25:43]    11   0.4703   72.9%   0.4703   72.9%  14.05%   0.000% 100.000%   3.00e-04 419.2s
+[13:32:22]    12   0.4703   72.9%   0.4703   72.9%  14.05%   0.000% 100.000%   3.00e-04 399.0s
+[13:39:17]    13   0.4703   72.9%   0.4703   72.9%  14.05%   0.000% 100.000%   3.00e-04 415.3s
+[13:46:02]    14   0.4703   72.9%   0.4703   72.9%  14.05%   0.000% 100.000%   3.00e-04 404.7s
+[13:52:43]    15   0.4703   72.9%   0.4703   72.9%  14.05%   0.000% 100.000%   3.00e-04 400.8s
+[13:59:38]    16   0.4703   72.9%   0.4703   72.9%  14.05%   0.000% 100.000%   2.99e-04 415.8s
+[13:59:38] 
+  Early stopping at epoch 16 (patience=15)
+[13:59:38] 
+======================================================================
+[13:59:38] FINAL TEST EVALUATION
+[13:59:38] ======================================================================
+[13:59:38] Loaded best model from epoch 1
+[14:00:24] 
+  Test Accuracy:  72.87%
+[14:00:24]   Test Macro F1:  14.05%
+[14:00:24]   Overall FAR:    0.0000%
+[14:00:24]   Overall FRR:    100.0000%
+[14:00:24] 
+  Per-class FAR:
+[14:00:24]     hey_ava             : 0.0000%
+[14:00:24]     hey_t_mobile        : 0.0000%
+[14:00:24]     hey_turkcell        : 0.0000%
+[14:00:24]     hey_cassandra       : 0.0000%
+[14:00:24]     hey_dtag            : 0.0000%
+[14:00:24] 
+  Per-class FRR:
+[14:00:24]     hey_ava             : 100.0000%
+[14:00:24]     hey_t_mobile        : 100.0000%
+[14:00:24]     hey_turkcell        : 100.0000%
+[14:00:24]     hey_cassandra       : 100.0000%
+[14:00:24]     hey_dtag            : 100.0000%
+[14:00:24] 
+  Classification Report:
+               precision    recall  f1-score   support
+
+      hey_ava       0.00      0.00      0.00      3473
+ hey_t_mobile       0.00      0.00      0.00      4195
+ hey_turkcell       0.00      0.00      0.00      6217
+hey_cassandra       0.00      0.00      0.00      3610
+     hey_dtag       0.00      0.00      0.00      3549
+     negative       0.73      1.00      0.84     56510
+
+     accuracy                           0.73     77554
+    macro avg       0.12      0.17      0.14     77554
+ weighted avg       0.53      0.73      0.61     77554
+
+[14:00:25] 
+  PDF Report: /opt/app-root/src/data/aditya_wakeword/Step5_Training_Data/Model1/runs/model1_dscnn_se_20260520_121005/training_report.pdf
+[14:00:26] 
+  All results saved to: /opt/app-root/src/data/aditya_wakeword/Step5_Training_Data/Model1/runs/model1_dscnn_se_20260520_121005
+[14:00:26] ======================================================================
+[14:00:26] TRAINING COMPLETE
+[14:00:26] ======================================================================

model1.tar.gz/model1_dscnn_se_20260520_121005/training_history.json

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