--- tags: - pattern-classification - multi-label-classification datasets: - maximuspowers/muat-mean-std --- # Pattern Classifier This model was trained to classify which patterns a subject model was trained on, based on neuron activation signatures. ## Dataset - **Training Dataset**: [maximuspowers/muat-mean-std](https://huggingface.co/datasets/maximuspowers/muat-mean-std) - **Input Mode**: signature - **Number of Patterns**: 14 ## Patterns The model predicts which of the following 14 patterns the subject model was trained to classify as positive: 1. `palindrome` 2. `sorted_ascending` 3. `sorted_descending` 4. `alternating` 5. `contains_abc` 6. `starts_with` 7. `ends_with` 8. `no_repeats` 9. `has_majority` 10. `increasing_pairs` 11. `decreasing_pairs` 12. `vowel_consonant` 13. `first_last_match` 14. `mountain_pattern` ## Model Architecture - **Signature Encoder**: [512, 256, 256, 128] - **Activation**: relu - **Dropout**: 0.2 - **Batch Normalization**: True ## Training Configuration - **Optimizer**: adam - **Learning Rate**: 0.001 - **Batch Size**: 16 - **Loss Function**: BCE with Logits (with pos_weight for training, unweighted for validation) ## Test Set Performance - **F1 Macro**: 0.2832 - **F1 Micro**: 0.2498 - **Hamming Accuracy**: 0.7306 - **Exact Match Accuracy**: 0.0140 - **BCE Loss**: 0.4844 ### Per-Pattern Performance (Test Set) | Pattern | Precision | Recall | F1 Score | |---------|-----------|--------|----------| | palindrome | 11.1% | 89.8% | 19.8% | | sorted_ascending | 59.7% | 56.6% | 58.1% | | sorted_descending | 15.8% | 66.2% | 25.5% | | alternating | 19.8% | 72.4% | 31.1% | | contains_abc | 30.8% | 57.6% | 40.1% | | starts_with | 9.1% | 59.4% | 15.8% | | ends_with | 10.3% | 73.8% | 18.1% | | no_repeats | 17.8% | 32.1% | 22.9% | | has_majority | 33.3% | 60.5% | 43.0% | | increasing_pairs | 23.3% | 35.3% | 28.1% | | decreasing_pairs | 19.4% | 60.9% | 29.5% | | vowel_consonant | 9.8% | 76.9% | 17.4% | | first_last_match | 15.3% | 96.6% | 26.5% | | mountain_pattern | 15.3% | 31.7% | 20.6% |