bgl3 · Linear
reference_bgl3_lr_plm_modulof3_20261105-035904
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 | 1.8054 | 0.2806 | 0.2499 | 0.0771 | 3467.0000 | -0.0351 | 705.0000 | 0.6000 | 0.2171 | 1.7856 | 0.0000 | 0.0000 | 0.1899 | 0.4200 | -0.1013 | 2.3637 | 0.0200 | 0.0000 | 0.1063 | 0.4800 | -0.0123 | 2.3637 | 0.0100 | 0.0000 | 0.1444 | 0.4747 | -0.0231 | 2.3637 | 0.0101 | 0.0000 | 0.1404 |
| validation | 1.2533 | 0.2726 | 0.2617 | 0.0742 | 437.0000 | -0.1719 | 1465.0000 | 0.3000 | -0.1901 | 1.2650 | 0.0000 | 0.0000 | 0.0717 | 0.2800 | -0.2302 | 2.2054 | 0.0200 | 0.0000 | 0.0692 | 0.3200 | -0.1338 | 2.2054 | 0.0700 | 0.0000 | 0.1215 | 0.1875 | -0.4508 | 1.2650 | 0.0000 | 0.0000 | -0.0207 |
| test | 1.3018 | 0.2405 | 0.2252 | 0.0559 | 437.0000 | -0.0788 | 127.0000 | 0.4000 | -0.0259 | 1.6946 | 0.0000 | 0.0000 | 0.1257 | 0.4400 | -0.0863 | 2.2391 | 0.0800 | 0.0000 | 0.1333 | 0.4000 | -0.1055 | 3.0445 | 0.0800 | 0.0000 | 0.1421 | 0.3750 | -0.1522 | 1.6946 | 0.0000 | 0.0000 | 0.0889 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_plm_modulof3 task: dms data: dataset: bgl3 encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: modulo split_fold: 3 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7