bgl3 · Linear
reference_bgl3_lr_modulof4_20261104-165752
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 | 1.5588 | 0.5250 | 0.4889 | 0.1744 | 3798.0000 | 0.1002 | 5540.0000 | 0.7000 | 0.7504 | 1.8690 | 0.0000 | 0.0000 | 0.3230 | 0.7400 | 0.8209 | 2.2054 | 0.0000 | 0.0000 | 0.3960 | 0.7500 | 0.7477 | 2.3136 | 0.0100 | 0.0000 | 0.3946 | 0.7477 | 0.7243 | 2.3136 | 0.0093 | 0.0000 | 0.3886 |
| validation | 1.5716 | -0.0973 | -0.0799 | -0.0434 | 338.0000 | -0.0189 | 991.0000 | 0.1000 | -1.4710 | 0.4959 | 0.0000 | 0.0000 | -0.3305 | 0.1800 | -0.9621 | 1.5945 | 0.0200 | 0.0000 | -0.1685 | 0.1900 | -0.9958 | 1.5945 | 0.0500 | 0.0000 | -0.2020 | 0.0769 | -1.7120 | 0.4959 | 0.0000 | 0.0000 | -0.4266 |
| test | 1.4352 | -0.0334 | -0.0344 | -0.0602 | 437.0000 | -0.0509 | 1023.0000 | 0.4000 | -0.1888 | 1.8690 | 0.0000 | 0.0000 | 0.0722 | 0.2600 | -0.5063 | 2.0841 | 0.0400 | 0.0000 | -0.0469 | 0.3000 | -0.4362 | 2.0841 | 0.1000 | 0.0000 | -0.0193 | 0.3125 | -0.2246 | 1.8690 | 0.0000 | 0.0000 | 0.0627 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_modulof4 task: dms data: dataset: bgl3 encoding: one_hot,aa_index 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