File size: 2,098 Bytes
8cef5d5 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160 161 162 163 164 | ---
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.
|