bgl3 · Linear
reference_bgl3_lr_mr5_contiguousf2_20261104-222145
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 | 1.6982 | 0.2298 | 0.2168 | 0.0393 | 152.0000 | -0.0175 | 3060.0000 | 0.1000 | -1.3506 | 0.2216 | 0.0000 | 0.0000 | 0.0972 | 0.0600 | -1.4890 | 0.2216 | 0.0200 | 0.0000 | 0.0377 | 0.0500 | -1.5759 | 0.2216 | 0.0300 | 0.0000 | -0.0089 | 0.0938 | -1.4507 | 0.2216 | 0.0000 | 0.0000 | 0.0559 |
| validation | 1.8252 | 0.0272 | 0.0620 | -0.0101 | 38.0000 | 0.2130 | 653.0000 | 0.0000 | -3.3745 | -0.7794 | 0.0000 | 0.0000 | -0.8540 | 0.0000 | -2.1284 | -0.1319 | 0.0000 | 0.0000 | -0.3543 | 0.0100 | -1.9060 | 0.3707 | 0.0300 | 0.0000 | -0.2445 | 0.0000 | -3.2621 | -0.7794 | 0.0000 | 0.0000 | -0.8122 |
| test | 2.0054 | -0.0798 | -0.0682 | -0.0520 | 26.0000 | 0.1822 | 186.0000 | 0.0000 | -2.6137 | -0.9146 | 0.0000 | 0.0000 | -0.4158 | 0.0200 | -2.6408 | 0.1282 | 0.0200 | 0.0000 | -0.4889 | 0.0200 | -2.4850 | 0.1840 | 0.0300 | 0.0000 | -0.4312 | 0.0000 | -2.7370 | -0.9146 | 0.0000 | 0.0000 | -0.4813 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_mr5_contiguousf2 task: dms data: dataset: bgl3 encoding: one_hot,aa_index 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