avgfp · Linear
reference_avgfp_lr_plm_modulof4_20261105-042232
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 | 0.4931 | 0.7380 | 0.6832 | 0.4543 | 1414.0000 | 0.1382 | 2708.0000 | 0.3000 | 3.6036 | 3.9081 | 0.0000 | 0.0000 | 0.5668 | 0.2400 | 3.5941 | 3.9081 | 0.0000 | 0.0000 | 0.6050 | 0.2200 | 3.5590 | 4.1079 | 0.0300 | 0.0000 | 0.5953 | 0.2202 | 3.5587 | 4.1079 | 0.0367 | 0.0000 | 0.5984 |
| validation | 0.6663 | -0.0653 | -0.0576 | -0.1725 | 146.0000 | -0.0594 | 683.0000 | 0.2000 | 2.8082 | 3.7624 | 0.0000 | 0.0000 | -0.7886 | 0.2600 | 3.0767 | 3.8237 | 0.0400 | 0.0000 | -0.4359 | 0.2200 | 3.1817 | 3.9052 | 0.1600 | 0.0000 | -0.2600 | 0.2857 | 2.7448 | 3.7624 | 0.0000 | 0.0000 | -0.8621 |
| test | 0.5901 | -0.0573 | -0.0372 | -0.1767 | 152.0000 | 0.0516 | 333.0000 | 0.1000 | 2.8616 | 3.7486 | 0.0000 | 0.0000 | -0.7747 | 0.2000 | 3.1872 | 3.8289 | 0.0400 | 0.0000 | -0.2795 | 0.2200 | 3.1875 | 3.8921 | 0.1600 | 0.0000 | -0.3027 | 0.0000 | 2.6546 | 3.7031 | 0.0000 | 0.0000 | -1.0972 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_plm_modulof4 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: modulo split_fold: 4 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7