| --- |
| license: mit |
| task_categories: |
| - image-to-text |
| - text-to-image |
| language: |
| - en |
| pretty_name: simons ARC (abstraction & reasoning corpus) object mass version 21 |
| size_categories: |
| - 10K<n<100K |
| configs: |
| - config_name: default |
| data_files: |
| - split: train |
| path: data.jsonl |
| --- |
| |
| # Version 1 |
|
|
| Measure the mass of objects for `pixel connectivity 4` and `pixel connectivity 8`. |
|
|
| image size: 1-10. |
|
|
| max_mass: 4. |
| |
| # Version 2 |
| |
| image size: 1-20. |
| |
| max_mass: 5. |
|
|
| This converged too slowly. I was too optimistic. I will have to proceed slower. |
|
|
| # Version 3 |
|
|
| image size: 1-12. |
|
|
| max_mass: 5. |
| |
| Too big spikes in the training loss. I will have to lower the `max_mass`, and gradually increase it. |
|
|
| # Version 4 |
|
|
| image size: 1-15. |
|
|
| max_mass: 2. |
| |
| The validation loss for this is fine. I'm increasing the `max_mass`. |
|
|
| # Version 5 |
|
|
| image size: 1-20. |
|
|
| max_mass: 3. |
| |
| # Version 6 |
| |
| image size: 1-25. |
| |
| max_mass: 4. |
|
|
| # Version 7 |
|
|
| image size: 1-30. |
|
|
| max_mass: 2. |
| |
| # Version 8 |
| |
| image size: 1-30. |
| |
| max_mass: 7. |
|
|
| # Version 9 |
|
|
| image size: 1-30. |
|
|
| max_mass: 8. |
| |
| # Version 10 |
| |
| image size: 1-30. |
| |
| max_mass: 9. |
|
|
| # Version 11 |
|
|
| image size: 1-30. |
|
|
| max_mass: 10. |
| |
| # Version 12 |
| |
| image size: 1-30. |
| |
| max_mass: 11. |
|
|
| # Version 13 |
|
|
| image size: 1-30. |
|
|
| max_mass: 15. |
| |
| # Version 14 |
| |
| image size: 1-30. |
| |
| max_mass: 20. |
|
|
| # Version 15 |
|
|
| image size: 1-30. |
|
|
| max_mass: 25. |
| |
| # Version 16 |
| |
| Added `PixelConnectivity.CORNER4`, so it can identify diagonal structures. |
| |
| image size: 1-10. |
| |
| max_mass: 5. |
|
|
| # Version 17 |
|
|
| image size: 1-15. |
|
|
| max_mass: 10. |
| |
| # Version 18 |
| |
| Added mulple new `PixelConnectivity` modes: `LR2`, `TB2`, `TLBR2`, `TRBL2`, so it can identify line structures. |
| |
| image size: 1-10. |
| |
| max_mass: 5. |
|
|
| # Version 19 |
|
|
| image size: 1-15. |
|
|
| max_mass: 10. |
| |
| # Version 20 |
| |
| Disabled `NEAREST4`, `ALL8`, `CORNER4`. So the model can be trained only on line structures. |
| |
| image size: 1-20. |
| |
| max_mass: 15. |
|
|
| The model struggles with these settings. I have to lower the settings. |
|
|
| # Version 21 |
|
|
| Still with disabled `NEAREST4`, `ALL8`, `CORNER4`. So the model can be trained only on line structures. |
|
|
| Lowered the settings. |
|
|
| image size: 1-10. |
|
|
| max_mass: 6. |
| |
| |
