ube4b · Linear
reference_ube4b_lr_contiguousf4_20261104-171055
Metrics
| Set | mse | pearsonr | spearmanr | r2 | above_wt_n | above_wt_spearmanr | budget_to_max | hit_rate_at_10 | mean_at_10 | max_at_10 | precision_at_10 | tie_share_at_10 | captured_at_10 | hit_rate_at_50 | mean_at_50 | max_at_50 | precision_at_50 | tie_share_at_50 | captured_at_50 | hit_rate_at_100 | mean_at_100 | max_at_100 | precision_at_100 | tie_share_at_100 | captured_at_100 | hit_rate_at_1pct | mean_at_1pct | max_at_1pct | precision_at_1pct | tie_share_at_1pct | captured_at_1pct |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| train | 2.9526 | 0.5819 | 0.5448 | 0.3070 | 2870.0000 | 0.5318 | 1.0000 | 1.0000 | 5.6792 | 9.1845 | 0.3000 | 0.0000 | 0.8584 | 0.9600 | 3.8919 | 9.1845 | 0.3600 | 0.0000 | 0.7502 | 0.9300 | 3.2635 | 9.1845 | 0.3200 | 0.0000 | 0.7196 | 0.9123 | 3.0111 | 9.1845 | 0.3801 | 0.0000 | 0.7336 |
| validation | 2.9406 | -0.0824 | -0.0964 | -0.2943 | 1218.0000 | -0.0029 | 3290.0000 | 0.3000 | -0.3218 | 1.4160 | 0.0000 | 0.0000 | 0.0955 | 0.1600 | -1.2716 | 1.4160 | 0.0000 | 0.0000 | -0.1088 | 0.1300 | -1.3482 | 2.7786 | 0.0200 | 0.0000 | -0.1465 | 0.1860 | -1.2842 | 1.4160 | 0.0000 | 0.0000 | -0.1089 |
| test | 3.1034 | -0.0640 | -0.0725 | -0.1145 | 933.0000 | -0.0214 | 3500.0000 | 0.3000 | -1.0537 | 3.5441 | 0.0000 | 0.0000 | 0.0081 | 0.1600 | -1.2484 | 3.5441 | 0.0400 | 0.0000 | -0.0367 | 0.1600 | -1.4141 | 3.5441 | 0.0400 | 0.0000 | -0.0892 | 0.1842 | -1.0380 | 3.5441 | 0.0526 | 0.0000 | 0.0134 |
Loss per epoch
training
validation
Config
name: reference_ube4b_lr_contiguousf4 task: dms data: dataset: ube4b encoding: one_hot,aa_index split_dir: null split_scheme: contiguous split_fold: 4 model: name: lr train: epochs: 300 batch_size: 64 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7