gb1 · Linear
reference_gb1_lr_plm_contiguousf2_20261104-184555
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 | 0.3703 | 0.9477 | 0.9697 | 0.8872 | 40274.0000 | 0.7409 | 568.0000 | 1.0000 | 1.2877 | 1.4346 | 0.0000 | 0.0000 | 0.8658 | 1.0000 | 1.1931 | 1.4526 | 0.1200 | 0.0000 | 0.9000 | 1.0000 | 1.1665 | 1.4526 | 0.2200 | 0.0000 | 0.9229 | 0.9979 | 0.8479 | 1.8705 | 0.5536 | 0.0000 | 0.9483 |
| validation | 8.7536 | 0.0859 | 0.0852 | -0.5960 | 2473.0000 | -0.1918 | 13511.0000 | 0.0000 | -5.2860 | -4.2929 | 0.0000 | 0.0000 | -0.3736 | 0.0600 | -4.3851 | 0.6902 | 0.0000 | 0.0000 | -0.1965 | 0.0600 | -4.1853 | 0.6902 | 0.0000 | 0.0000 | -0.1579 | 0.0400 | -3.7866 | 0.6902 | 0.0000 | 0.0000 | -0.0771 |
| test | 7.1705 | 0.3629 | 0.3685 | -0.3293 | 2092.0000 | -0.0831 | 11457.0000 | 0.5000 | -0.7939 | 1.3595 | 0.0000 | 0.0000 | 0.5208 | 0.3000 | -1.9394 | 1.4575 | 0.0000 | 0.0000 | 0.3235 | 0.2300 | -2.2552 | 1.4897 | 0.0100 | 0.0000 | 0.2702 | 0.2338 | -2.1797 | 1.4897 | 0.0448 | 0.0000 | 0.2910 |
Loss per epoch
training
validation
Config
name: reference_gb1_lr_plm_contiguousf2 task: dms data: dataset: gb1 encoding: one_hot,aa_index,plm,plm_sum 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