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RICE LEAF DISEASE CLASSIFICATION - MODEL TRAINING REPORT
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DATASET INFORMATION:
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Total Training Samples:      2720
Total Validation Samples:     583
Total Test Samples:           583
Number of Classes:              4
Classes:                   Bacterialblight, Brownspot, Healthy, Leafsmut
Image Size (pixels):       224 x 224

TRAINING CONFIGURATION:
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Epochs:                    50
Batch Size:                32
Optimizer:                 Adam (lr=0.001)
Loss Function:             Categorical Crossentropy
Total Epochs Trained:      50

MODEL PERFORMANCE:
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Test Loss:                 0.0221
Test Accuracy:             0.9983
Best Training Accuracy:    0.9849
Best Validation Accuracy:  0.9983

SAVED FILES:
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Model Weights:             rice_leaf_disease_model.keras
Model Architecture:        rice_leaf_disease_model.json
Model Summary:             model_summary.txt
Training Report:           training_report.txt