🚀 BẮT ĐẦU HUẤN LUYỆN MÔ HÌNH MOBILENET-LRASPP (GPU & CACHE)
Initializing FeatureExtractor (mode=extended)...
📦 Đang load cache: training_data_507bd2ba4ec0d3fe107839cbf73a7a7d.joblib...
✅ Loaded 632 samples từ cache!
   ⚡ Đã bỏ qua download위성 data (tiết kiệm thời gian)
[CACHE HIT] Using cached dataset with 632 samples
Training MOBILENET-LRASPP model...
Building MobileNetV3 + LR-ASPP model on cuda...
[MOBILENET] Class distribution: [ 48  89   3  86  74  38 117  50]
[MOBILENET] Class weights: [0.37418982 0.20181024 5.98703525 0.20885013 0.24271772 0.47266082
 0.15351377 0.35922223]
Training MobileNetV3 + LR-ASPP model with PyTorch...
MobileNet Epoch 5/25, Train Loss: 1.0614, Val Loss: 1.3584, Val Acc: 40.16%, LR: 0.000800
[MOBILENET] Epoch 5/25 - Train Loss: 1.0614, Val Loss: 1.3584, Val Acc: 40.16%
MobileNet Epoch 10/25, Train Loss: 0.9054, Val Loss: 0.8582, Val Acc: 59.06%, LR: 0.000800
[MOBILENET] Epoch 10/25 - Train Loss: 0.9054, Val Loss: 0.8582, Val Acc: 59.06%
MobileNet Epoch 15/25, Train Loss: 0.7728, Val Loss: 0.8231, Val Acc: 61.42%, LR: 0.000800
[MOBILENET] Epoch 15/25 - Train Loss: 0.7728, Val Loss: 0.8231, Val Acc: 61.42%
MobileNet Epoch 20/25, Train Loss: 0.7125, Val Loss: 0.8783, Val Acc: 59.84%, LR: 0.000400
[MOBILENET] Epoch 20/25 - Train Loss: 0.7125, Val Loss: 0.8783, Val Acc: 59.84%
[MOBILENET] Early stopping at epoch 24 (best val loss: 0.8029)
MobileNet early stopped at epoch 24
Evaluating model...
Generating classification report...
Saving model...
[MODEL MANAGER] Saving model to: model_train/model_mobilenet-lraspp_auto.joblib
[MODEL MANAGER] Saving metadata to: model_train/model_mobilenet-lraspp_auto_info.json
[MODEL MANAGER] Model saved successfully!
Training complete!
✅ Hoàn thành! Accuracy: 0.5669
