|
--- |
|
license: mit |
|
task_categories: |
|
- image-to-text |
|
- text-to-image |
|
language: |
|
- en |
|
pretty_name: simons ARC (abstraction & reasoning corpus) object mass version 15 |
|
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. |
|
|
|
|