gb1 · Linear
reference_gb1_lr_plm_contiguousf3_20261105-040802
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 | 0.7082 | 0.9292 | 0.9631 | 0.8547 | 30012.0000 | 0.7753 | 65.0000 | 1.0000 | 1.6851 | 1.8773 | 0.0000 | 0.0000 | 0.8911 | 1.0000 | 1.6287 | 2.0176 | 0.1600 | 0.0000 | 0.9282 | 1.0000 | 1.6412 | 2.5295 | 0.2900 | 0.0000 | 0.9526 | 0.9995 | 1.3185 | 2.5295 | 0.7462 | 0.0000 | 0.9793 |
| validation | 4.9005 | 0.0957 | 0.0025 | -0.1050 | 5856.0000 | -0.0061 | 13448.0000 | 0.0000 | -1.3218 | -0.9647 | 0.0000 | 0.0000 | 0.0829 | 0.0000 | -1.6944 | -0.6533 | 0.0000 | 0.0000 | -0.0474 | 0.0100 | -1.7002 | 0.5159 | 0.0000 | 0.0000 | -0.0506 | 0.0249 | -1.6903 | 0.5983 | 0.0000 | 0.0000 | -0.0486 |
| test | 8.6239 | 0.0769 | 0.0762 | -0.5724 | 2473.0000 | -0.1925 | 13384.0000 | 0.0000 | -5.1121 | -4.2929 | 0.0000 | 0.0000 | -0.3388 | 0.0600 | -4.5222 | 0.6902 | 0.0000 | 0.0000 | -0.2245 | 0.0600 | -4.3133 | 0.6902 | 0.0000 | 0.0000 | -0.1844 | 0.0450 | -3.7474 | 0.6902 | 0.0000 | 0.0000 | -0.0688 |
Loss per epoch
training
validation
Config
name: reference_gb1_lr_plm_contiguousf3 task: dms data: dataset: gb1 encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous split_fold: 3 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7