ube4b · Linear
reference_ube4b_lr_plm_randomf1_20261104-180859
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 | 2.3873 | 0.6081 | 0.6044 | 0.3698 | 12540.0000 | 0.4523 | 61.0000 | 1.0000 | 4.8946 | 6.7153 | 0.0000 | 0.0000 | 0.6970 | 0.9800 | 4.6289 | 8.6246 | 0.2200 | 0.0000 | 0.7650 | 0.9900 | 4.4863 | 9.1537 | 0.3000 | 0.0000 | 0.7911 | 0.9729 | 3.6217 | 9.1537 | 0.5186 | 0.0000 | 0.8361 |
| validation | 2.4850 | 0.5914 | 0.5873 | 0.3496 | 4076.0000 | 0.4452 | 1.0000 | 1.0000 | 5.5649 | 9.1845 | 0.2000 | 0.0000 | 0.7878 | 0.9200 | 4.3566 | 9.1845 | 0.4400 | 0.0000 | 0.7917 | 0.9400 | 4.0355 | 9.1845 | 0.4100 | 0.0000 | 0.8128 | 0.9492 | 3.7368 | 9.1845 | 0.5685 | 0.0000 | 0.8431 |
| test | 2.4800 | 0.5880 | 0.5848 | 0.3453 | 4135.0000 | 0.4474 | 154.0000 | 1.0000 | 4.7723 | 6.5758 | 0.2000 | 0.0000 | 0.7650 | 0.9600 | 3.8869 | 6.5758 | 0.4000 | 0.0000 | 0.7435 | 0.9800 | 3.9487 | 6.5758 | 0.4400 | 0.0000 | 0.8140 | 0.9695 | 3.6929 | 7.6288 | 0.5228 | 0.0000 | 0.8470 |
Loss per epoch
training
validation
Config
name: reference_ube4b_lr_plm_randomf1 task: dms data: dataset: ube4b encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: random split_fold: 1 model: name: lr train: epochs: 300 batch_size: 64 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7