ube4b · Linear
reference_ube4b_lr_plm_modulof3_20261105-040337
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 | 2.3415 | 0.6395 | 0.6224 | 0.4077 | 7842.0000 | 0.5121 | 44.0000 | 1.0000 | 5.1530 | 6.7153 | 0.1000 | 0.0000 | 0.7202 | 1.0000 | 4.8084 | 9.1537 | 0.3200 | 0.0000 | 0.7931 | 0.9700 | 4.5816 | 9.1537 | 0.4100 | 0.0000 | 0.8188 | 0.9827 | 4.0410 | 9.1537 | 0.5476 | 0.0000 | 0.8641 |
| validation | 3.0309 | 0.3545 | 0.3746 | 0.1243 | 318.0000 | -0.0840 | 156.0000 | 0.3000 | -1.5478 | 0.8118 | 0.0000 | 0.0000 | 0.0102 | 0.3400 | -0.9935 | 2.7420 | 0.0200 | 0.0000 | 0.1479 | 0.3200 | -0.9212 | 3.4201 | 0.0400 | 0.0000 | 0.1946 | 0.3333 | -1.2764 | 0.8118 | 0.0000 | 0.0000 | 0.0652 |
| test | 2.9127 | 0.2751 | 0.3019 | 0.0383 | 418.0000 | -0.1514 | 1631.0000 | 0.2000 | -1.0033 | 1.1425 | 0.0000 | 0.0000 | 0.0631 | 0.2800 | -0.5172 | 2.9172 | 0.0400 | 0.0000 | 0.2159 | 0.2900 | -0.6855 | 2.9172 | 0.0400 | 0.0000 | 0.1973 | 0.2222 | -0.7507 | 1.1425 | 0.0000 | 0.0000 | 0.1264 |
Loss per epoch
training
validation
Config
name: reference_ube4b_lr_plm_modulof3 task: dms data: dataset: ube4b encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: modulo split_fold: 3 model: name: lr train: epochs: 300 batch_size: 64 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7