ube4b · Linear
reference_ube4b_lr_plm_modulof4_20261105-043152
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 | 2.3932 | 0.6255 | 0.6163 | 0.3828 | 6783.0000 | 0.4697 | 29.0000 | 1.0000 | 5.3450 | 7.8259 | 0.1000 | 0.0000 | 0.7560 | 1.0000 | 4.7932 | 9.1537 | 0.2600 | 0.0000 | 0.8141 | 0.9700 | 4.2831 | 9.1537 | 0.3800 | 0.0000 | 0.8069 | 0.9702 | 3.8898 | 9.1537 | 0.5397 | 0.0000 | 0.8578 |
| validation | 3.0863 | 0.2572 | 0.2562 | 0.0542 | 645.0000 | 0.0157 | 396.0000 | 0.2000 | -1.2447 | 0.2510 | 0.0000 | 0.0000 | -0.0030 | 0.3400 | -0.5401 | 2.1010 | 0.0000 | 0.0000 | 0.1512 | 0.2800 | -0.7285 | 2.1010 | 0.0200 | 0.0000 | 0.1256 | 0.3214 | -0.6915 | 1.9279 | 0.0000 | 0.0000 | 0.1079 |
| test | 3.0716 | 0.3529 | 0.3732 | 0.1126 | 318.0000 | -0.0820 | 159.0000 | 0.4000 | -1.4210 | 0.8118 | 0.0000 | 0.0000 | 0.0327 | 0.3200 | -1.0003 | 2.7420 | 0.0200 | 0.0000 | 0.1462 | 0.3200 | -0.9087 | 3.4201 | 0.0400 | 0.0000 | 0.1981 | 0.3333 | -1.2764 | 0.8118 | 0.0000 | 0.0000 | 0.0652 |
Loss per epoch
training
validation
Config
name: reference_ube4b_lr_plm_modulof4 task: dms data: dataset: ube4b encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: modulo split_fold: 4 model: name: lr train: epochs: 300 batch_size: 64 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7