ube4b · Linear
reference_ube4b_lr_randomf2_20261104-162710
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 | 2.4140 | 0.6028 | 0.5977 | 0.3632 | 12472.0000 | 0.4499 | 78.0000 | 1.0000 | 5.6911 | 7.7437 | 0.2000 | 0.0000 | 0.7741 | 0.9800 | 4.3298 | 8.6246 | 0.2000 | 0.0000 | 0.7231 | 0.9700 | 4.2794 | 9.1537 | 0.3300 | 0.0000 | 0.7612 | 0.9661 | 3.5806 | 9.1537 | 0.4983 | 0.0000 | 0.8265 |
| validation | 2.4211 | 0.5997 | 0.5909 | 0.3596 | 4203.0000 | 0.4444 | 8.0000 | 1.0000 | 5.6778 | 6.9328 | 0.4000 | 0.0000 | 0.8960 | 1.0000 | 4.2368 | 6.9328 | 0.3600 | 0.0000 | 0.8026 | 1.0000 | 4.0207 | 6.9328 | 0.4600 | 0.0000 | 0.8355 | 0.9848 | 3.6585 | 6.9328 | 0.5127 | 0.0000 | 0.8498 |
| test | 2.4974 | 0.5888 | 0.5811 | 0.3463 | 4076.0000 | 0.4455 | 1.0000 | 1.0000 | 5.6058 | 9.1845 | 0.2000 | 0.0000 | 0.7924 | 0.9400 | 4.4328 | 9.1845 | 0.4400 | 0.0000 | 0.8021 | 0.9300 | 4.0473 | 9.1845 | 0.4300 | 0.0000 | 0.8145 | 0.9594 | 3.7481 | 9.1845 | 0.5533 | 0.0000 | 0.8449 |
Loss per epoch
training
validation
Config
name: reference_ube4b_lr_randomf2 task: dms data: dataset: ube4b encoding: one_hot,aa_index split_dir: null split_scheme: random split_fold: 2 model: name: lr train: epochs: 300 batch_size: 64 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7