bgl3 · Linear
reference_bgl3_lr_mr5plm_contiguousf2_20261104-222747
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 | 1.1686 | 0.6200 | 0.6653 | 0.3389 | 152.0000 | -0.0449 | 769.0000 | 0.0000 | -1.2467 | -0.1154 | 0.0000 | 0.0000 | 0.1454 | 0.1400 | -0.6905 | 0.1164 | 0.0000 | 0.0000 | 0.4617 | 0.1200 | -0.5197 | 0.1254 | 0.0500 | 0.0000 | 0.5869 | 0.0625 | -0.8724 | 0.1022 | 0.0000 | 0.0000 | 0.3513 |
| validation | 1.3822 | 0.4908 | 0.4989 | 0.2351 | 38.0000 | -0.1588 | 391.0000 | 0.3000 | -0.8911 | 0.3961 | 0.1000 | 0.0000 | 0.2910 | 0.1000 | -1.1872 | 0.3961 | 0.1000 | 0.0000 | 0.1959 | 0.0900 | -1.1457 | 0.3961 | 0.1700 | 0.0000 | 0.2400 | 0.2727 | -0.9511 | 0.3961 | 0.0909 | 0.0000 | 0.2666 |
| test | 1.8759 | 0.3153 | 0.2902 | 0.0159 | 26.0000 | -0.2048 | 654.0000 | 0.0000 | -1.9454 | -0.2397 | 0.0000 | 0.0000 | -0.0931 | 0.0000 | -2.0682 | -0.1352 | 0.0000 | 0.0000 | -0.1737 | 0.0000 | -1.8913 | -0.1352 | 0.0400 | 0.0000 | -0.0816 | 0.0000 | -2.0249 | -0.2397 | 0.0000 | 0.0000 | -0.1331 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_mr5plm_contiguousf2 task: dms data: dataset: bgl3 encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous split_fold: 2 min_reads: 5 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7