ube4b · Linear
reference_ube4b_lr_modulof2_20261104-163808
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 | 2.3956 | 0.5290 | 0.5429 | 0.2758 | 5464.0000 | 0.2560 | 4898.0000 | 0.9000 | 3.5445 | 6.1279 | 0.1000 | 0.0000 | 0.6411 | 0.9600 | 2.9228 | 6.1279 | 0.1600 | 0.0000 | 0.6732 | 0.9700 | 2.6373 | 6.1279 | 0.1700 | 0.0000 | 0.6910 | 0.9068 | 1.9999 | 6.1279 | 0.3154 | 0.0000 | 0.6818 |
| validation | 3.2194 | -0.0267 | -0.0285 | -0.0630 | 418.0000 | -0.0250 | 520.0000 | 0.1000 | -1.3538 | 0.2342 | 0.0000 | 0.0000 | -0.0116 | 0.2800 | -1.0998 | 3.0167 | 0.0200 | 0.0000 | 0.0551 | 0.2000 | -1.5177 | 3.0167 | 0.0600 | 0.0000 | -0.0702 | 0.1111 | -1.7388 | 1.0092 | 0.0000 | 0.0000 | -0.1013 |
| test | 5.1679 | -0.1287 | -0.1220 | -0.0746 | 819.0000 | -0.0874 | 3076.0000 | 0.1000 | -1.5152 | 1.0146 | 0.0000 | 0.0000 | -0.0537 | 0.1600 | -1.5950 | 2.7494 | 0.0000 | 0.0000 | -0.0757 | 0.1800 | -1.6551 | 2.7494 | 0.0000 | 0.0000 | -0.0947 | 0.1875 | -1.6133 | 2.7494 | 0.0000 | 0.0000 | -0.0749 |
Loss per epoch
training
validation
Config
name: reference_ube4b_lr_modulof2 task: dms data: dataset: ube4b encoding: one_hot,aa_index split_dir: null split_scheme: modulo 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