ube4b · Linear
reference_ube4b_lr_plm_randomf0_20261104-174921
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 | 2.3983 | 0.6095 | 0.6065 | 0.3714 | 12442.0000 | 0.4570 | 1.0000 | 1.0000 | 5.8839 | 9.1845 | 0.2000 | 0.0000 | 0.7822 | 0.9600 | 4.7264 | 9.1845 | 0.2800 | 0.0000 | 0.7668 | 0.9800 | 4.5840 | 9.1845 | 0.3400 | 0.0000 | 0.8001 | 0.9712 | 3.7236 | 9.1845 | 0.5339 | 0.0000 | 0.8492 |
| validation | 2.4847 | 0.5875 | 0.5871 | 0.3441 | 4135.0000 | 0.4450 | 199.0000 | 1.0000 | 4.5024 | 6.5758 | 0.1000 | 0.0000 | 0.7316 | 0.9600 | 3.8555 | 6.5758 | 0.3800 | 0.0000 | 0.7391 | 0.9700 | 3.8843 | 6.5758 | 0.4500 | 0.0000 | 0.8042 | 0.9746 | 3.6750 | 6.5758 | 0.5025 | 0.0000 | 0.8440 |
| test | 2.4745 | 0.5823 | 0.5856 | 0.3381 | 4174.0000 | 0.4201 | 12.0000 | 1.0000 | 4.9329 | 7.8259 | 0.1000 | 0.0000 | 0.7511 | 0.9800 | 4.4511 | 8.6246 | 0.3800 | 0.0000 | 0.8129 | 0.9700 | 4.0430 | 8.6246 | 0.5000 | 0.0000 | 0.8259 | 0.9594 | 3.5221 | 8.6246 | 0.5482 | 0.0000 | 0.8185 |
Loss per epoch
training
validation
Config
name: reference_ube4b_lr_plm_randomf0 task: dms data: dataset: ube4b encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: random split_fold: 0 model: name: lr train: epochs: 300 batch_size: 64 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7