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| # Test Optimization Summary | |
| ## Changes Made | |
| ### 1. Added tqdm Progress Bars β | |
| **Before**: No progress indicators - tests appeared frozen | |
| **After**: Progress bars show: | |
| - Training iterations progress | |
| - Task processing status | |
| - Time elapsed | |
| **Example output:** | |
| ``` | |
| Testing learning capability... | |
| Generating eval set... Done | |
| Evaluating initial accuracy... 0.250 | |
| Training on 15 tasks: | |
| Progress: 100%|ββββββββ| 15/15 [00:02<00:00] | |
| Evaluating final accuracy... 0.400 | |
| β Learning verified (improvement: +0.150) | |
| ``` | |
| ### 2. Optimized Test Iterations | |
| - **Reduced training iterations**: 30 β 15, 40 β 20 | |
| - **Smaller eval sets**: 10 β 5 tasks | |
| - **Faster forgetting**: Shorter time advances | |
| ### 3. Better Progress Messages | |
| - Clear status messages for each step | |
| - Shows what's happening (generating, evaluating, training) | |
| - Total time at the end | |
| ## Why Tests Are Slow | |
| **Main cause**: DistilBERT model loading | |
| - Downloads ~260MB model (first time) | |
| - Loads model weights into memory | |
| - Can take 10-30 seconds per test | |
| **This is normal** - not your laptop's fault! Neural networks are just large. | |
| ## Performance Tips | |
| 1. **First run is slowest** (downloads model) | |
| - Subsequent runs use cached model (faster) | |
| 2. **Install tqdm** for progress bars: | |
| ```bash | |
| pip install tqdm | |
| ``` | |
| 3. **GPU would be faster** but requires CUDA setup | |
| 4. **Progress bars help** even if slow - you see what's happening! | |
| ## Test Output Example | |
| ``` | |
| ============================================================ | |
| RUNNING STUDENT AGENT TESTS | |
| ============================================================ | |
| Testing student initialization... β Student model initialized | |
| Testing answer prediction... β Student can answer tasks | |
| Testing learning capability... | |
| Generating eval set... Done | |
| Evaluating initial accuracy... 0.250 | |
| Training on 15 tasks: | |
| Progress: 100%|ββββββββ| 15/15 [00:02<00:00] | |
| Evaluating final accuracy... 0.400 | |
| β Learning verified (improvement: +0.150) | |
| ... | |
| ============================================================ | |
| π All tests passed! (Total time: 45.32s) | |
| ============================================================ | |
| ``` | |
| The progress bars make it clear what's happening even if it takes time! | |