logs/model_loading_resnet50_robust_face.log

===== MODEL LOADING REPORT: resnet50_robust_face =====
Total parameters in checkpoint: 320
Total parameters in model: 320
Missing keys: 267 parameters
Unexpected keys: 320 parameters
Successfully loaded: 0 parameters (0.0%)
Loading status: ❌ FAILED - Critical parameters missing, will not function properly

⚠️ WARNING: Loading from checkpoint is too incomplete.
⚠️ Falling back to PyTorch's pretrained model to avoid broken inference.
✅ Successfully loaded PyTorch's pretrained ResNet50 model

Missing keys by layer type:
  layer3: 95 parameters
  layer2: 65 parameters
  layer1: 50 parameters
  layer4: 50 parameters
  bn1: 4 parameters
  fc: 2 parameters
  conv1: 1 parameters

First 10 missing keys:
  1. bn1.bias
  2. bn1.running_mean
  3. bn1.running_var
  4. bn1.weight
  5. conv1.weight
  6. fc.bias
  7. fc.weight
  8. layer1.0.bn1.bias
  9. layer1.0.bn1.running_mean
  10. layer1.0.bn1.running_var

First 10 unexpected keys:
  1. model.bn1.bias
  2. model.bn1.num_batches_tracked
  3. model.bn1.running_mean
  4. model.bn1.running_var
  5. model.bn1.weight
  6. model.conv1.weight
  7. model.fc.bias
  8. model.fc.weight
  9. model.layer1.0.bn1.bias
  10. model.layer1.0.bn1.num_batches_tracked
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