bgl3 · Linear
reference_bgl3_lr_plm_modulof4_20261105-042300
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 | 1.2981 | 0.5793 | 0.5424 | 0.3125 | 3798.0000 | 0.1106 | 3307.0000 | 0.9000 | 1.0367 | 1.6946 | 0.0000 | 0.0000 | 0.4057 | 0.6800 | 0.7331 | 2.9405 | 0.0200 | 0.0000 | 0.3668 | 0.7400 | 0.8003 | 2.9405 | 0.0200 | 0.0000 | 0.4132 | 0.7570 | 0.8182 | 2.9405 | 0.0280 | 0.0000 | 0.4221 |
| validation | 1.3853 | 0.2852 | 0.2677 | 0.0803 | 338.0000 | -0.2059 | 1151.0000 | 0.5000 | 0.0279 | 2.3637 | 0.1000 | 0.0000 | 0.2167 | 0.3400 | -0.3690 | 2.3637 | 0.0200 | 0.0000 | 0.0836 | 0.2600 | -0.4082 | 2.3637 | 0.0500 | 0.0000 | 0.0740 | 0.4615 | -0.1876 | 2.3637 | 0.0769 | 0.0000 | 0.1408 |
| test | 1.2823 | 0.2785 | 0.2661 | 0.0527 | 437.0000 | -0.1682 | 1452.0000 | 0.2000 | -0.4636 | 1.2650 | 0.0000 | 0.0000 | -0.0241 | 0.2800 | -0.2310 | 2.2054 | 0.0400 | 0.0000 | 0.0689 | 0.3000 | -0.1781 | 2.2054 | 0.0500 | 0.0000 | 0.1009 | 0.1250 | -0.4659 | 1.2650 | 0.0000 | 0.0000 | -0.0262 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_plm_modulof4 task: dms data: dataset: bgl3 encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: modulo 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