Verification Results.txt

------- Only ALL of CALC training datasets ----- ((FOR verification))
## Resnet50v2
# Evaluate on the test data **USING TRANSFER LEARNING AND NO FINE TUNING
loss: 4.9214 - accuracy: 0.3865

# Evaluate the model on the test data ** USING TF AND FINE TUNING ON LAST 30 layers
loss: 2.2620 - accuracy: 0.4632

# Evaluate the model on the test data ** USING TF AND FINE TUNING ON ALL LAYERS
loss: 1.0210 - accuracy: 0.5184


## EfficientNetV2B0
# Evaluate on the test data **USING TRANSFER LEARNING AND NO FINE TUNING
loss: 0.9030 - accuracy: 0.5092

# Evaluate on the test data **USING TRANSFER LEARNING AND 30 layer FINE TUNING
loss: 0.8631 - accuracy: 0.5368

# Evaluate on the test data **USING TRANSFER LEARNING AND ALL layer FINE TUNING
loss: 1.0167 - accuracy: 0.5706

----------------------------- Binary with BWC and M
# Evaluate on the test data **USING TRANSFER LEARNING AND NO FINE TUNING
loss: 0.3493 - accuracy: 0.8520

# Evaluate on the test data **USING TRANSFER LEARNING AND 10 layer FINE TUNING
loss: 0.3287 - accuracy: 0.8776

# Evaluate on the test data **USING TRANSFER LEARNING AND ALL layer FINE TUNING
loss: 0.3200 - accuracy: 0.8724

----------------------------- Binary with B and M
# Evaluate on the test data **USING TRANSFER LEARNING AND NO FINE TUNING
loss: 0.6674 - accuracy: 0.5869

# Evaluate on the test data **USING TRANSFER LEARNING AND 10 layer FINE TUNING
loss: 0.7036 - accuracy: 0.5946

# Evaluate on the test data **USING TRANSFER LEARNING AND ALL layer FINE TUNING
loss: 1.1112 - accuracy: 0.5869