gb1 · Linear
reference_gb1_lr_contiguousf2_20261104-164242
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 | 0.6709 | 0.8976 | 0.9076 | 0.7956 | 40274.0000 | 0.4063 | 1535.0000 | 1.0000 | 0.7653 | 1.1279 | 0.0000 | 0.0000 | 0.7062 | 0.9800 | 0.7224 | 1.3816 | 0.0400 | 0.0000 | 0.7454 | 0.9900 | 0.6968 | 1.3816 | 0.0200 | 0.0000 | 0.7631 | 0.9707 | 0.5890 | 1.8705 | 0.1931 | 0.0000 | 0.8458 |
| validation | 8.9101 | 0.1893 | 0.1853 | -0.6246 | 2473.0000 | 0.1702 | 340.0000 | 0.2000 | -1.7679 | 0.3892 | 0.0000 | 0.0000 | 0.3310 | 0.2600 | -1.6582 | 1.4948 | 0.0200 | 0.0000 | 0.3591 | 0.2500 | -1.8633 | 1.4948 | 0.0200 | 0.0000 | 0.3217 | 0.2700 | -2.0464 | 1.6254 | 0.0500 | 0.0000 | 0.2896 |
| test | 11.7975 | -0.3131 | -0.3192 | -1.1870 | 2092.0000 | -0.3287 | 15379.0000 | 0.0000 | -5.6188 | -4.7732 | 0.0000 | 0.0000 | -0.3464 | 0.0000 | -5.4734 | -3.4914 | 0.0000 | 0.0000 | -0.3290 | 0.0000 | -5.3259 | -2.3389 | 0.0000 | 0.0000 | -0.3075 | 0.0000 | -5.1353 | -0.1855 | 0.0000 | 0.0000 | -0.2780 |
Loss per epoch
training
validation
Config
name: reference_gb1_lr_contiguousf2 task: dms data: dataset: gb1 encoding: one_hot,aa_index split_dir: null split_scheme: contiguous split_fold: 2 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7