🚀 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