bgl3 · Linear
reference_bgl3_lr_plm_contiguousf0_20261104-175448
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 | 1.6950 | 0.3959 | 0.3295 | 0.1477 | 6904.0000 | -0.0258 | 8361.0000 | 0.9000 | 0.4171 | 1.4833 | 0.0000 | 0.0000 | 0.2090 | 0.7000 | 0.5315 | 2.3637 | 0.0000 | 0.0000 | 0.2691 | 0.6400 | 0.4469 | 3.1160 | 0.0300 | 0.0000 | 0.2548 | 0.6550 | 0.4200 | 3.1160 | 0.0351 | 0.0000 | 0.2571 |
| validation | 1.5473 | 0.2662 | 0.2692 | 0.0659 | 1203.0000 | 0.0114 | 1838.0000 | 0.2000 | -0.3432 | 1.7856 | 0.0000 | 0.0000 | -0.0080 | 0.3800 | -0.0538 | 1.8690 | 0.0000 | 0.0000 | 0.1062 | 0.4200 | -0.0092 | 1.8690 | 0.0200 | 0.0000 | 0.1330 | 0.3235 | -0.2491 | 1.7856 | 0.0000 | 0.0000 | 0.0278 |
| test | 1.9341 | 0.2633 | 0.2525 | 0.0349 | 1218.0000 | -0.0408 | 302.0000 | 0.7000 | 0.3525 | 2.2054 | 0.0000 | 0.0000 | 0.2937 | 0.3400 | -0.0676 | 2.4567 | 0.0600 | 0.0000 | 0.2049 | 0.4000 | -0.0446 | 2.4567 | 0.0900 | 0.0000 | 0.2292 | 0.3721 | -0.0432 | 2.4567 | 0.0698 | 0.0000 | 0.2099 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_plm_contiguousf0 task: dms data: dataset: bgl3 encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous 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