bgl3 · Linear
reference_bgl3_lr_plm_modulof2_20261104-183558
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 | 1.6672 | 0.3161 | 0.2731 | 0.0880 | 3477.0000 | -0.0583 | 6616.0000 | 0.7000 | -0.1463 | 1.3581 | 0.0000 | 0.0000 | 0.0599 | 0.5800 | 0.1999 | 2.2054 | 0.0000 | 0.0000 | 0.1891 | 0.4900 | 0.0164 | 2.4567 | 0.0700 | 0.0000 | 0.1321 | 0.4842 | -0.0262 | 2.4567 | 0.0632 | 0.0000 | 0.1158 |
| validation | 1.2982 | 0.2488 | 0.2297 | 0.0585 | 437.0000 | -0.0899 | 160.0000 | 0.4000 | -0.0259 | 1.6946 | 0.0000 | 0.0000 | 0.1257 | 0.4200 | -0.0141 | 2.2391 | 0.1000 | 0.0000 | 0.1628 | 0.3900 | -0.1531 | 2.2391 | 0.0700 | 0.0000 | 0.1201 | 0.3125 | -0.1930 | 1.6946 | 0.0000 | 0.0000 | 0.0750 |
| test | 1.4390 | 0.2720 | 0.2823 | 0.0664 | 432.0000 | -0.0285 | 175.0000 | 0.5000 | -0.1097 | 1.7856 | 0.0000 | 0.0000 | 0.1488 | 0.4200 | -0.3793 | 2.2054 | 0.0400 | 0.0000 | 0.0629 | 0.3700 | -0.3255 | 2.2054 | 0.0900 | 0.0000 | 0.0933 | 0.4706 | -0.0553 | 1.7856 | 0.0000 | 0.0000 | 0.1739 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_plm_modulof2 task: dms data: dataset: bgl3 encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: modulo split_fold: 2 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7