[INFO] 2025-02-04 10:00:01 - Job initialized successfully.
[INFO] 2025-02-04 10:00:05 - Loading dataset from /data/training_set.csv...
[INFO] 2025-02-04 10:00:10 - Dataset loaded: 250,000 records found.
[INFO] 2025-02-04 10:00:15 - Data preprocessing started.
[INFO] 2025-02-04 10:00:18 - Handling missing values...
[INFO] 2025-02-04 10:00:22 - Normalizing numerical columns...
[INFO] 2025-02-04 10:00:27 - Encoding categorical variables...
[INFO] 2025-02-04 10:00:32 - Preprocessing completed.
[INFO] 2025-02-04 10:00:40 - Initializing model training (ResNet-50)...
[INFO] 2025-02-04 10:00:45 - GPU Acceleration Enabled (NVIDIA A100).
[INFO] 2025-02-04 10:00:50 - Epoch 1/10 - Loss: 1.235 - Accuracy: 68.5%
[INFO] 2025-02-04 10:01:05 - Epoch 2/10 - Loss: 1.098 - Accuracy: 72.3%
[INFO] 2025-02-04 10:01:20 - Epoch 3/10 - Loss: 0.945 - Accuracy: 75.1%
[INFO] 2025-02-04 10:01:35 - Epoch 4/10 - Loss: 0.825 - Accuracy: 78.9%
[INFO] 2025-02-04 10:01:50 - Epoch 5/10 - Loss: 0.760 - Accuracy: 81.2%
[WARNING] 2025-02-04 10:02:05 - High memory usage detected (85% GPU utilization).
[INFO] 2025-02-04 10:02:20 - Epoch 6/10 - Loss: 0.703 - Accuracy: 83.5%
[INFO] 2025-02-04 10:02:35 - Epoch 7/10 - Loss: 0.650 - Accuracy: 85.1%
[INFO] 2025-02-04 10:02:50 - Epoch 8/10 - Loss: 0.609 - Accuracy: 87.0%
[INFO] 2025-02-04 10:03:05 - Epoch 9/10 - Loss: 0.571 - Accuracy: 88.9%
[INFO] 2025-02-04 10:03:20 - Epoch 10/10 - Loss: 0.540 - Accuracy: 90.3%

[INFO] 2025-02-04 10:03:35 - Training completed successfully!
[SUCCESS] 2025-02-04 10:03:40 - Model saved at /models/resnet50_trained_v1.pth
[INFO] 2025-02-04 10:03:45 - Generating performance report...
[INFO] 2025-02-04 10:03:50 - Validation Accuracy: 89.7%
[INFO] 2025-02-04 10:03:55 - Inference test completed, ready for deployment.
[DEPLOYMENT] 2025-02-04 10:04:00 - Model ready for deployment at:
API Endpoint: https://api.snowcell.io/model/resnet50
API Key: 1a2b3c4d-5678-9101-abcdef