avgfp · Linear
reference_avgfp_lr_plm_modulof0_20261104-175016
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 | 0.8641 | 0.2594 | 0.2345 | 0.0289 | 1210.0000 | 0.0410 | 2889.0000 | 0.0000 | 2.8582 | 3.6593 | 0.0000 | 0.0000 | -0.1434 | 0.0800 | 3.0892 | 3.8704 | 0.0000 | 0.0000 | 0.0830 | 0.0700 | 3.0614 | 3.8704 | 0.0000 | 0.0000 | 0.0568 | 0.0638 | 3.0563 | 3.8704 | 0.0000 | 0.0000 | 0.0511 |
| validation | 0.6568 | -0.0373 | -0.0010 | -0.3001 | 216.0000 | 0.1293 | 440.0000 | 0.0000 | 2.5615 | 3.6226 | 0.0000 | 0.0000 | -1.1305 | 0.1000 | 2.9612 | 3.8314 | 0.0200 | 0.0000 | -0.6494 | 0.1500 | 3.1797 | 4.1059 | 0.0300 | 0.0000 | -0.2741 | 0.0000 | 2.6473 | 3.6226 | 0.0000 | 0.0000 | -1.0149 |
| test | 0.6841 | -0.0185 | -0.0006 | -0.2037 | 146.0000 | -0.0728 | 609.0000 | 0.2000 | 2.8655 | 3.7483 | 0.0000 | 0.0000 | -0.6984 | 0.2200 | 3.0545 | 3.8672 | 0.0600 | 0.0000 | -0.4773 | 0.2200 | 3.1772 | 3.9052 | 0.1600 | 0.0000 | -0.2691 | 0.1429 | 2.8376 | 3.7483 | 0.0000 | 0.0000 | -0.7206 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_plm_modulof0 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: modulo split_fold: 0 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7