ube4b · Linear
reference_ube4b_lr_plm_contiguousf2_20261104-184815
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 | 2.4452 | 0.5062 | 0.5297 | 0.1725 | 9957.0000 | 0.1345 | 5395.0000 | 0.7000 | 1.3553 | 4.0867 | 0.0000 | 0.0000 | 0.3486 | 0.8600 | 1.2514 | 4.5416 | 0.0200 | 0.0000 | 0.3952 | 0.8000 | 1.0660 | 4.5416 | 0.0200 | 0.0000 | 0.3981 | 0.7407 | 0.7622 | 4.6530 | 0.0864 | 0.0000 | 0.4256 |
| validation | 3.6087 | 0.2271 | 0.2508 | 0.0386 | 323.0000 | -0.0505 | 871.0000 | 0.2000 | -0.7385 | 0.1418 | 0.0000 | 0.0000 | 0.1779 | 0.3000 | -0.6413 | 3.1584 | 0.0600 | 0.0000 | 0.2416 | 0.2700 | -0.6394 | 3.1584 | 0.0700 | 0.0000 | 0.2802 | 0.3200 | -0.6844 | 3.1584 | 0.0000 | 0.0000 | 0.2095 |
| test | 5.3540 | 0.3020 | 0.3192 | 0.0769 | 88.0000 | 0.1029 | 53.0000 | 0.8000 | -0.0392 | 1.9610 | 0.0000 | 0.0000 | 0.2471 | 0.4200 | -0.2816 | 4.5327 | 0.2400 | 0.0000 | 0.2832 | 0.3300 | -0.4647 | 5.7047 | 0.3500 | 0.0000 | 0.3373 | 1.0000 | 0.7380 | 1.9610 | 0.0000 | 0.0000 | 0.3305 |
Loss per epoch
training
validation
Config
name: reference_ube4b_lr_plm_contiguousf2 task: dms data: dataset: ube4b encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous 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