exp_id int64 0 31 | A int64 -1 1 | B int64 -1 1 | C int64 -1 1 | D int64 -1 1 | E int64 -1 1 | F int64 -1 1 | G int64 -1 1 | learning_rate float64 0 0 | weight_decay float64 0 0.1 | lr_scheduler_type stringclasses 2 values | warmup_ratio float64 0 0.15 | gradient_accumulation_steps int64 1 4 | num_train_epochs int64 50 200 | per_device_train_batch_size int64 2 4 | train_mean_iou float64 0.21 0.61 | train_mean_accuracy float64 0.54 0.87 | train_precision_tree float64 0.36 0.82 | train_recall_tree float64 0.27 0.82 | train_dice_tree float64 0.34 0.75 | training_time_sec float64 115 541 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
0 | -1 | -1 | -1 | -1 | -1 | 1 | 1 | 0.00001 | 0 | linear | 0 | 1 | 200 | 4 | 0.401407 | 0.769171 | 0.597277 | 0.550367 | 0.572863 | 541.363596 |
1 | -1 | -1 | -1 | -1 | 1 | 1 | -1 | 0.00001 | 0 | linear | 0 | 4 | 200 | 2 | 0.367589 | 0.652027 | 0.429206 | 0.719145 | 0.537573 | 499.707533 |
2 | -1 | -1 | -1 | 1 | -1 | -1 | -1 | 0.00001 | 0 | linear | 0.15 | 1 | 50 | 2 | 0.365315 | 0.714106 | 0.493043 | 0.585089 | 0.535137 | 126.881452 |
3 | -1 | -1 | -1 | 1 | 1 | -1 | 1 | 0.00001 | 0 | linear | 0.15 | 4 | 50 | 4 | 0.20631 | 0.705339 | 0.45975 | 0.272333 | 0.342051 | 116.049726 |
4 | -1 | -1 | 1 | -1 | -1 | -1 | 1 | 0.00001 | 0 | cosine | 0 | 1 | 50 | 4 | 0.345156 | 0.594116 | 0.38721 | 0.760653 | 0.513184 | 118.3066 |
5 | -1 | -1 | 1 | -1 | 1 | -1 | -1 | 0.00001 | 0 | cosine | 0 | 4 | 50 | 2 | 0.327671 | 0.642684 | 0.410374 | 0.61918 | 0.493603 | 123.482159 |
6 | -1 | -1 | 1 | 1 | -1 | 1 | -1 | 0.00001 | 0 | cosine | 0.15 | 1 | 200 | 2 | 0.407061 | 0.776911 | 0.617191 | 0.544547 | 0.578598 | 508.180708 |
7 | -1 | -1 | 1 | 1 | 1 | 1 | 1 | 0.00001 | 0 | cosine | 0.15 | 4 | 200 | 4 | 0.356169 | 0.638106 | 0.416178 | 0.711825 | 0.525258 | 465.993189 |
8 | -1 | 1 | -1 | -1 | -1 | -1 | -1 | 0.00001 | 0.1 | linear | 0 | 1 | 50 | 2 | 0.364759 | 0.715632 | 0.495271 | 0.580571 | 0.534539 | 127.998087 |
9 | -1 | 1 | -1 | -1 | 1 | -1 | 1 | 0.00001 | 0.1 | linear | 0 | 4 | 50 | 4 | 0.348044 | 0.621044 | 0.402744 | 0.719302 | 0.516368 | 117.362499 |
10 | -1 | 1 | -1 | 1 | -1 | 1 | 1 | 0.00001 | 0.1 | linear | 0.15 | 1 | 200 | 4 | 0.426294 | 0.764771 | 0.575802 | 0.621469 | 0.597765 | 467.338978 |
11 | -1 | 1 | -1 | 1 | 1 | 1 | -1 | 0.00001 | 0.1 | linear | 0.15 | 4 | 200 | 2 | 0.433425 | 0.785123 | 0.62648 | 0.584458 | 0.60474 | 482.42484 |
12 | -1 | 1 | 1 | -1 | -1 | 1 | -1 | 0.00001 | 0.1 | cosine | 0 | 1 | 200 | 2 | 0.480584 | 0.821056 | 0.723545 | 0.58868 | 0.649182 | 502.412241 |
13 | -1 | 1 | 1 | -1 | 1 | 1 | 1 | 0.00001 | 0.1 | cosine | 0 | 4 | 200 | 4 | 0.350353 | 0.633878 | 0.411549 | 0.70204 | 0.518906 | 459.549062 |
14 | -1 | 1 | 1 | 1 | -1 | -1 | 1 | 0.00001 | 0.1 | cosine | 0.15 | 1 | 50 | 4 | 0.335703 | 0.543734 | 0.362445 | 0.819819 | 0.502661 | 115.866727 |
15 | -1 | 1 | 1 | 1 | 1 | -1 | -1 | 0.00001 | 0.1 | cosine | 0.15 | 4 | 50 | 2 | 0.281485 | 0.675149 | 0.426875 | 0.452494 | 0.439311 | 122.005923 |
16 | 1 | -1 | -1 | -1 | -1 | -1 | -1 | 0.0001 | 0 | linear | 0 | 1 | 50 | 2 | 0.530569 | 0.850203 | 0.817276 | 0.601977 | 0.693296 | 127.132423 |
17 | 1 | -1 | -1 | -1 | 1 | -1 | 1 | 0.0001 | 0 | linear | 0 | 4 | 50 | 4 | 0.446614 | 0.789551 | 0.631655 | 0.60389 | 0.617461 | 114.817534 |
18 | 1 | -1 | -1 | 1 | -1 | 1 | 1 | 0.0001 | 0 | linear | 0.15 | 1 | 200 | 4 | 0.596032 | 0.867365 | 0.806075 | 0.695806 | 0.746892 | 462.542674 |
19 | 1 | -1 | -1 | 1 | 1 | 1 | -1 | 0.0001 | 0 | linear | 0.15 | 4 | 200 | 2 | 0.568375 | 0.859492 | 0.806882 | 0.657868 | 0.724795 | 496.302714 |
20 | 1 | -1 | 1 | -1 | -1 | 1 | -1 | 0.0001 | 0 | cosine | 0 | 1 | 200 | 2 | 0.603862 | 0.868758 | 0.799876 | 0.711332 | 0.75301 | 510.642665 |
21 | 1 | -1 | 1 | -1 | 1 | 1 | 1 | 0.0001 | 0 | cosine | 0 | 4 | 200 | 4 | 0.520748 | 0.842485 | 0.783052 | 0.608546 | 0.684858 | 465.174085 |
22 | 1 | -1 | 1 | 1 | -1 | -1 | 1 | 0.0001 | 0 | cosine | 0.15 | 1 | 50 | 4 | 0.506679 | 0.834645 | 0.758958 | 0.603851 | 0.672578 | 121.879358 |
23 | 1 | -1 | 1 | 1 | 1 | -1 | -1 | 0.0001 | 0 | cosine | 0.15 | 4 | 50 | 2 | 0.398571 | 0.798168 | 0.711112 | 0.475576 | 0.569969 | 124.279331 |
24 | 1 | 1 | -1 | -1 | -1 | 1 | 1 | 0.0001 | 0.1 | linear | 0 | 1 | 200 | 4 | 0.603408 | 0.8657 | 0.780741 | 0.726523 | 0.752657 | 478.650181 |
25 | 1 | 1 | -1 | -1 | 1 | 1 | -1 | 0.0001 | 0.1 | linear | 0 | 4 | 200 | 2 | 0.570793 | 0.856018 | 0.779354 | 0.680812 | 0.726758 | 494.694392 |
26 | 1 | 1 | -1 | 1 | -1 | -1 | -1 | 0.0001 | 0.1 | linear | 0.15 | 1 | 50 | 2 | 0.543836 | 0.851002 | 0.796507 | 0.631589 | 0.704526 | 129.636222 |
27 | 1 | 1 | -1 | 1 | 1 | -1 | 1 | 0.0001 | 0.1 | linear | 0.15 | 4 | 50 | 4 | 0.407026 | 0.722695 | 0.505236 | 0.676787 | 0.578563 | 118.274941 |
28 | 1 | 1 | 1 | -1 | -1 | -1 | 1 | 0.0001 | 0.1 | cosine | 0 | 1 | 50 | 4 | 0.47595 | 0.833274 | 0.804066 | 0.538392 | 0.64494 | 118.288641 |
29 | 1 | 1 | 1 | -1 | 1 | -1 | -1 | 0.0001 | 0.1 | cosine | 0 | 4 | 50 | 2 | 0.424392 | 0.815169 | 0.773714 | 0.484533 | 0.595892 | 124.75383 |
30 | 1 | 1 | 1 | 1 | -1 | 1 | -1 | 0.0001 | 0.1 | cosine | 0.15 | 1 | 200 | 2 | 0.605631 | 0.867803 | 0.790016 | 0.721828 | 0.754384 | 510.143238 |
31 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0.0001 | 0.1 | cosine | 0.15 | 4 | 200 | 4 | 0.528485 | 0.84441 | 0.781602 | 0.620048 | 0.691515 | 461.491693 |
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