avgfp · Linear
reference_avgfp_lr_plm_randomf0_20261104-174442
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 | 0.3252 | 0.8426 | 0.8599 | 0.7097 | 2984.0000 | 0.2520 | 2074.0000 | 0.7000 | 3.7741 | 3.9081 | 0.0000 | 0.0000 | 0.7987 | 0.6000 | 3.7314 | 3.9633 | 0.0200 | 0.0000 | 0.8017 | 0.6100 | 3.7379 | 4.1079 | 0.0400 | 0.0000 | 0.8226 | 0.5556 | 3.7294 | 4.1079 | 0.1389 | 0.0000 | 0.8534 |
| validation | 0.3629 | 0.8241 | 0.8533 | 0.6789 | 1025.0000 | 0.2080 | 540.0000 | 0.6000 | 3.7631 | 3.9540 | 0.0000 | 0.0000 | 0.7824 | 0.5600 | 3.7196 | 4.0860 | 0.0600 | 0.0000 | 0.8060 | 0.5100 | 3.7229 | 4.0860 | 0.0700 | 0.0000 | 0.8364 | 0.5093 | 3.7249 | 4.0860 | 0.0741 | 0.0000 | 0.8411 |
| test | 0.3649 | 0.8230 | 0.8510 | 0.6770 | 1035.0000 | 0.1966 | 27.0000 | 0.3000 | 3.4835 | 3.8291 | 0.0000 | 0.0000 | 0.6045 | 0.5800 | 3.6918 | 4.1068 | 0.0800 | 0.0000 | 0.7889 | 0.5100 | 3.6869 | 4.1068 | 0.0600 | 0.0000 | 0.8119 | 0.5278 | 3.6908 | 4.1068 | 0.0556 | 0.0000 | 0.8177 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_plm_randomf0 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: random 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