ube4b · Linear
reference_ube4b_lr_randomf4_20261104-165503
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 | 2.4032 | 0.6059 | 0.5995 | 0.3670 | 12414.0000 | 0.4507 | 2.0000 | 1.0000 | 6.3329 | 9.1845 | 0.2000 | 0.0000 | 0.8505 | 0.9600 | 4.8656 | 9.1845 | 0.3000 | 0.0000 | 0.7877 | 0.9600 | 4.4685 | 9.1845 | 0.3700 | 0.0000 | 0.7880 | 0.9661 | 3.5996 | 9.1845 | 0.5000 | 0.0000 | 0.8304 |
| validation | 2.4838 | 0.5796 | 0.5781 | 0.3356 | 4174.0000 | 0.4211 | 12.0000 | 1.0000 | 4.5432 | 7.8259 | 0.1000 | 0.0000 | 0.7049 | 1.0000 | 4.4881 | 8.6246 | 0.3600 | 0.0000 | 0.8180 | 0.9700 | 3.7767 | 8.6246 | 0.4200 | 0.0000 | 0.7856 | 0.9645 | 3.5098 | 8.6246 | 0.5127 | 0.0000 | 0.8165 |
| test | 2.4717 | 0.5977 | 0.5909 | 0.3572 | 4163.0000 | 0.4641 | 37.0000 | 1.0000 | 5.3249 | 7.7437 | 0.2000 | 0.0000 | 0.8089 | 0.9400 | 3.7559 | 9.1537 | 0.2800 | 0.0000 | 0.7201 | 0.9500 | 3.6829 | 9.1537 | 0.3800 | 0.0000 | 0.7683 | 0.9645 | 3.5167 | 9.1537 | 0.4822 | 0.0000 | 0.8129 |
Loss per epoch
training
validation
Config
name: reference_ube4b_lr_randomf4 task: dms data: dataset: ube4b encoding: one_hot,aa_index split_dir: null split_scheme: random 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