gb1 · Linear
reference_gb1_lr_plm_modulof2_20261104-184046
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 | 1.0956 | 0.8950 | 0.9256 | 0.8002 | 34843.0000 | 0.4576 | 4207.0000 | 1.0000 | 1.4428 | 1.6326 | 0.0000 | 0.0000 | 0.9165 | 1.0000 | 1.4132 | 1.7412 | 0.1800 | 0.0000 | 0.9467 | 1.0000 | 1.3265 | 1.7540 | 0.2500 | 0.0000 | 0.9412 | 0.9927 | 0.8815 | 1.8220 | 0.3606 | 0.0000 | 0.9185 |
| validation | 4.2531 | 0.2403 | 0.2092 | 0.0303 | 4705.0000 | -0.0837 | 5901.0000 | 0.7000 | 0.1776 | 1.2142 | 0.0000 | 0.0000 | 0.5204 | 0.4800 | -0.3129 | 1.6132 | 0.0000 | 0.0000 | 0.4271 | 0.5300 | -0.3294 | 1.6132 | 0.0100 | 0.0000 | 0.4333 | 0.3300 | -0.7887 | 1.6132 | 0.0050 | 0.0000 | 0.3172 |
| test | 4.9771 | 0.1415 | 0.1412 | -0.1208 | 1545.0000 | 0.0955 | 12879.0000 | 0.1000 | -1.9163 | 0.1234 | 0.0000 | 0.0000 | 0.2309 | 0.1200 | -2.7186 | 0.5575 | 0.0000 | 0.0000 | 0.0162 | 0.1000 | -2.3083 | 0.5575 | 0.0000 | 0.0000 | 0.1336 | 0.0995 | -2.1660 | 0.6723 | 0.0149 | 0.0000 | 0.1782 |
Loss per epoch
training
validation
Config
name: reference_gb1_lr_plm_modulof2 task: dms data: dataset: gb1 encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: modulo 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