pab1 · Linear
reference_pab1_lr_modulof2_20261104-163646
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 | 2.6227 | 0.6223 | 0.5955 | 0.3078 | 1717.0000 | 0.0456 | 2605.0000 | 0.3000 | -0.4940 | 0.2658 | 0.0000 | 0.0000 | 0.4750 | 0.2200 | -0.4303 | 0.4516 | 0.0000 | 0.0000 | 0.5433 | 0.3100 | -0.3816 | 1.1524 | 0.0300 | 0.0000 | 0.5921 | 0.2876 | -0.3776 | 1.1524 | 0.0392 | 0.0000 | 0.6138 |
| validation | 3.5654 | 0.1020 | 0.1063 | -0.0201 | 223.0000 | 0.0114 | 450.0000 | 0.2000 | -1.8348 | 0.4152 | 0.0000 | 0.0000 | -0.0679 | 0.1000 | -1.7373 | 0.4152 | 0.0400 | 0.0000 | -0.0307 | 0.1500 | -1.7040 | 0.7491 | 0.0700 | 0.0000 | -0.0158 | 0.1250 | -2.0532 | 0.4152 | 0.0000 | 0.0000 | -0.1651 |
| test | 4.1431 | -0.1964 | -0.1821 | -0.1541 | 116.0000 | -0.0589 | 560.0000 | 0.0000 | -3.1776 | -0.6690 | 0.0000 | 0.0000 | -0.5100 | 0.0000 | -2.8004 | -0.1593 | 0.0000 | 0.0000 | -0.3913 | 0.0100 | -2.9207 | 0.1270 | 0.0100 | 0.0000 | -0.4685 | 0.0000 | -3.2803 | -0.6690 | 0.0000 | 0.0000 | -0.5620 |
Loss per epoch
training
validation
Config
name: reference_pab1_lr_modulof2 task: dms data: dataset: pab1 encoding: one_hot,aa_index split_dir: null split_scheme: modulo split_fold: 2 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.001 patience: 15 min_delta: 1.0e-05 seed: 7