ube4b · Linear
reference_ube4b_lr_plm_randomf2_20261104-183305
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 | 2.4134 | 0.6029 | 0.5994 | 0.3633 | 12472.0000 | 0.4492 | 75.0000 | 1.0000 | 5.6911 | 7.7437 | 0.2000 | 0.0000 | 0.7741 | 0.9800 | 4.3260 | 8.6246 | 0.2000 | 0.0000 | 0.7227 | 0.9700 | 4.3009 | 9.1537 | 0.3300 | 0.0000 | 0.7640 | 0.9661 | 3.6075 | 9.1537 | 0.5102 | 0.0000 | 0.8309 |
| validation | 2.4147 | 0.6014 | 0.5946 | 0.3613 | 4203.0000 | 0.4455 | 9.0000 | 1.0000 | 5.6778 | 6.9328 | 0.4000 | 0.0000 | 0.8960 | 1.0000 | 4.2957 | 6.9328 | 0.3600 | 0.0000 | 0.8110 | 1.0000 | 4.0452 | 6.9328 | 0.4800 | 0.0000 | 0.8393 | 0.9898 | 3.7296 | 6.9328 | 0.5178 | 0.0000 | 0.8618 |
| test | 2.4923 | 0.5896 | 0.5840 | 0.3476 | 4076.0000 | 0.4450 | 1.0000 | 1.0000 | 5.5649 | 9.1845 | 0.2000 | 0.0000 | 0.7878 | 0.9400 | 4.4395 | 9.1845 | 0.4400 | 0.0000 | 0.8030 | 0.9400 | 4.1300 | 9.1845 | 0.4500 | 0.0000 | 0.8268 | 0.9594 | 3.7491 | 9.1845 | 0.5533 | 0.0000 | 0.8451 |
Loss per epoch
training
validation
Config
name: reference_ube4b_lr_plm_randomf2 task: dms data: dataset: ube4b encoding: one_hot,aa_index,plm,plm_sum 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