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config.yaml

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+# Configuration Template — Arch-Building-Image-Classification
+# File ini untuk referensi dokumentasi hyperparameter.
+# File ini dapat diintegrasikan di masa depan untuk modular pipeline.
+
+dataset:
+  source: huggingface
+  repo_id: 0xgr3y/arch-building-dataset
+  num_classes: 8
+  labels: [barn, bridge, castle, mosque, skyscraper, stadium, temple, windmill]
+  total_images: 13440
+  images_per_class: 1680
+  split_ratio: [0.8, 0.1, 0.1]
+  split_seed: 42
+  input_shape: [320, 320, 3]
+  batch_size: 32
+
+augmentation:
+  rotation_range: 15
+  width_shift_range: 0.1
+  height_shift_range: 0.1
+  shear_range: 0.1
+  zoom_range: 0.20
+  brightness_range: [0.75, 1.15]
+  channel_shift_range: 10.0
+  horizontal_flip: true
+  fill_mode: nearest
+  mixup_alpha: 0.2
+  cutmix_alpha: 1.0
+  mixup_cutmix_prob: 0.5
+  random_erasing:
+    p: 0.5
+    area_range: [0.02, 0.15]
+    aspect_ratio: [0.3, 3.3]
+
+architecture:
+  backbone: efficientnetv2-s
+  weights: imagenet
+  include_top: false
+  custom_head:
+    conv2d_filters: 256
+    conv2d_kernel: [3, 3]
+    conv2d_activation: relu
+    maxpool_size: [2, 2]
+    gem_pooling:
+      p_init: 3.0
+      eps: 1.0e-6
+    dense_units: 256
+    dense_activation: relu
+    dropout_rate: 0.4
+    output_activation: softmax
+    output_dtype: float32
+
+training:
+  phase1:
+    name: head_training
+    epochs_max: 25
+    learning_rate: 0.001
+    warmup_epochs: 3
+    early_stopping_patience: 5
+    optimizer: adamw
+    weight_decay: 2.0e-5
+    loss: focal
+    focal_gamma: 2.0
+    label_smoothing: 0.1
+    use_mixup_cutmix: true
+    use_ema: true
+    ema_decay: 0.999
+  phase2:
+    name: selective_fine_tuning
+    epochs_max: 50
+    learning_rate: 0.0003
+    warmup_epochs: 5
+    early_stopping_patience: 3
+    optimizer: discriminative_adamw
+    weight_decay: 2.0e-5
+    loss: focal
+    focal_gamma: 2.0
+    label_smoothing: 0.05
+    use_mixup_cutmix: false
+    use_ema: true
+    ema_decay: 0.999
+    unfreeze: [block6, top_conv]
+    freeze_bn: true
+    lr_multipliers:
+      block6: 0.1
+  swa:
+    epochs: 10
+    learning_rate: 0.0001
+    bn_update_steps: 100
+    optimizer: adamw
+
+reproducibility:
+  seed: 42
+  enable_op_determinism: false  # disabled — slows training 5-10x
+  mixed_precision: disabled  # float32 chosen for reproducibility
+  python_version: "3.12.13"
+  tensorflow_version: "2.19.0"
+  keras_version: "3.13.2"
+  cuda_version: "12.5.1"
+  cudnn_version: "9.x"
+  tf_use_legacy_keras: "0"
+
+export:
+  formats:
+    - keras_compile_false
+    - weights_h5
+    - safetensors
+    - saved_model
+    - tflite
+    - tfjs
+  build_script: build_model.py
+
+deployment:
+  hf_model_repo: 0xgr3y/Arch-Building-Image-Classification
+  hf_space_repo: 0xgr3y/arch-building-classifier
+  hf_dataset_repo: 0xgr3y/arch-building-dataset
+  space_inference_format: tflite
+  space_inference_ms: 197.8
+  github: https://github.com/arcxteam/building-architectural-image-classifier
+  license_code: MIT
+  license_model: apache-2.0
+  license_dataset: cc-by-4.0
+  public_version: v6