ube4b · Linear
reference_ube4b_lr_plm_randomf4_20261105-042045
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 | 2.4027 | 0.6060 | 0.6029 | 0.3671 | 12414.0000 | 0.4494 | 2.0000 | 1.0000 | 6.3329 | 9.1845 | 0.2000 | 0.0000 | 0.8505 | 0.9800 | 4.9829 | 9.1845 | 0.3000 | 0.0000 | 0.8024 | 0.9600 | 4.4753 | 9.1845 | 0.3800 | 0.0000 | 0.7889 | 0.9678 | 3.6731 | 9.1845 | 0.5237 | 0.0000 | 0.8426 |
| validation | 2.4713 | 0.5827 | 0.5847 | 0.3389 | 4174.0000 | 0.4203 | 13.0000 | 1.0000 | 4.6326 | 7.8259 | 0.1000 | 0.0000 | 0.7155 | 1.0000 | 4.6170 | 8.6246 | 0.3800 | 0.0000 | 0.8359 | 0.9700 | 3.8966 | 8.6246 | 0.4400 | 0.0000 | 0.8037 | 0.9695 | 3.5382 | 8.6246 | 0.5228 | 0.0000 | 0.8212 |
| test | 2.4599 | 0.6004 | 0.5972 | 0.3603 | 4163.0000 | 0.4633 | 29.0000 | 1.0000 | 4.9512 | 7.7437 | 0.2000 | 0.0000 | 0.7640 | 0.9400 | 3.8815 | 9.1537 | 0.3000 | 0.0000 | 0.7376 | 0.9600 | 3.8028 | 9.1537 | 0.3800 | 0.0000 | 0.7864 | 0.9695 | 3.6302 | 9.1537 | 0.5076 | 0.0000 | 0.8317 |
Loss per epoch
training
validation
Config
name: reference_ube4b_lr_plm_randomf4 task: dms data: dataset: ube4b encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: random 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