Map your target labels to an integer between 1 and 40. The Bobbie-Model-21-40 uses a softmax output layer, so your classes must be mutually exclusive.
| Metric | Bobbie-Model-21-40 | Standard Lightweight CNN | Heavy Transformer (Distilled) | | :--- | :--- | :--- | :--- | | | 5.2 | 12.8 | 45.0 | | Memory Footprint (MB) | 22 | 45 | 180 | | Accuracy on 21-40 tasks | 94.7% | 89.2% | 95.1% | | Training Time (hours) | 1.5 | 3.2 | 12.0 | Bobbie-model- 21-40
Ensure your input dataset has exactly 21 relevant features. If you have fewer, use zero-padding. If you have more, run a feature selection algorithm (like PCA or mutual information) to reduce to 21. Map your target labels to an integer between 1 and 40