bgl3 · Linear
reference_bgl3_lr_plm_contiguousf1_20261104-181645
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 | 1.4244 | 0.5465 | 0.5082 | 0.2719 | 5657.0000 | 0.0975 | 4850.0000 | 0.7000 | 1.0075 | 3.1160 | 0.1000 | 0.0000 | 0.3899 | 0.8200 | 1.0250 | 3.1160 | 0.0400 | 0.0000 | 0.4476 | 0.8200 | 0.9274 | 3.1160 | 0.0300 | 0.0000 | 0.4429 | 0.7800 | 0.8010 | 3.1160 | 0.0267 | 0.0000 | 0.4144 |
| validation | 2.1315 | 0.1109 | 0.0661 | 0.0017 | 1465.0000 | -0.0501 | 479.0000 | 0.3000 | -0.8700 | 1.9459 | 0.0000 | 0.0000 | -0.1157 | 0.2800 | -1.0529 | 1.9459 | 0.0000 | 0.0000 | -0.1950 | 0.3600 | -0.6943 | 2.3136 | 0.0400 | 0.0000 | -0.0747 | 0.2791 | -1.0928 | 1.9459 | 0.0000 | 0.0000 | -0.2060 |
| test | 1.6116 | 0.2564 | 0.2591 | 0.0271 | 1203.0000 | 0.0103 | 1847.0000 | 0.2000 | -0.1796 | 1.7856 | 0.0000 | 0.0000 | 0.0514 | 0.3800 | -0.0553 | 1.8690 | 0.0000 | 0.0000 | 0.1055 | 0.4100 | -0.0254 | 1.8690 | 0.0200 | 0.0000 | 0.1261 | 0.3529 | -0.0957 | 1.8690 | 0.0000 | 0.0000 | 0.0868 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_plm_contiguousf1 task: dms data: dataset: bgl3 encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous split_fold: 1 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7