avgfp · Linear
reference_avgfp_lr_plm_modulof3_20261105-035843
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 | 0.6800 | 0.4428 | 0.3893 | 0.1773 | 1547.0000 | 0.1117 | 1641.0000 | 0.1000 | 3.5163 | 3.8311 | 0.0000 | 0.0000 | 0.4443 | 0.0600 | 3.3108 | 3.8536 | 0.0000 | 0.0000 | 0.2560 | 0.1200 | 3.2617 | 3.9735 | 0.0100 | 0.0000 | 0.2106 | 0.1121 | 3.2803 | 3.9735 | 0.0093 | 0.0000 | 0.2329 |
| validation | 0.5884 | -0.0474 | -0.0300 | -0.1734 | 152.0000 | 0.0413 | 325.0000 | 0.1000 | 2.8646 | 3.7785 | 0.0000 | 0.0000 | -0.7697 | 0.2000 | 3.1950 | 3.8289 | 0.0400 | 0.0000 | -0.2642 | 0.2400 | 3.2152 | 3.8921 | 0.1600 | 0.0000 | -0.2439 | 0.0000 | 2.6563 | 3.7031 | 0.0000 | 0.0000 | -1.0945 |
| test | 0.7932 | -0.0861 | 0.0055 | -0.1272 | 111.0000 | 0.0298 | 424.0000 | 0.0000 | 2.4386 | 3.6939 | 0.0000 | 0.0000 | -1.0462 | 0.0800 | 2.9675 | 3.8949 | 0.0400 | 0.0000 | -0.3540 | 0.1800 | 3.0429 | 3.8949 | 0.1800 | 0.0000 | -0.2500 | 0.0000 | 2.3130 | 3.6939 | 0.0000 | 0.0000 | -1.1866 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_plm_modulof3 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: modulo 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