bgl3 · Linear
reference_bgl3_lr_plm_contiguousf4_20261105-043315
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 | 1.5282 | 0.5023 | 0.4504 | 0.2239 | 5893.0000 | 0.0815 | 6327.0000 | 0.7000 | 1.0220 | 2.3637 | 0.0000 | 0.0000 | 0.4055 | 0.8600 | 1.0622 | 2.4567 | 0.0200 | 0.0000 | 0.4652 | 0.8100 | 0.9351 | 2.4567 | 0.0200 | 0.0000 | 0.4446 | 0.7500 | 0.7913 | 2.4567 | 0.0329 | 0.0000 | 0.4067 |
| validation | 1.8664 | 0.2717 | 0.2602 | 0.0687 | 1218.0000 | -0.0422 | 311.0000 | 0.7000 | 0.4397 | 2.2054 | 0.0000 | 0.0000 | 0.3186 | 0.3600 | -0.0386 | 2.4567 | 0.0600 | 0.0000 | 0.2147 | 0.4300 | 0.0251 | 2.4567 | 0.0800 | 0.0000 | 0.2544 | 0.3488 | -0.0969 | 2.4567 | 0.0698 | 0.0000 | 0.1921 |
| test | 1.8542 | 0.2418 | 0.1931 | -0.0440 | 1997.0000 | -0.1332 | 407.0000 | 0.5000 | -0.2438 | 1.3581 | 0.0000 | 0.0000 | -0.0185 | 0.5000 | -0.0190 | 1.9459 | 0.0000 | 0.0000 | 0.0659 | 0.5000 | -0.0413 | 2.3637 | 0.0200 | 0.0000 | 0.0612 | 0.4894 | -0.0723 | 1.9459 | 0.0000 | 0.0000 | 0.0450 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_plm_contiguousf4 task: dms data: dataset: bgl3 encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous split_fold: 4 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7