gb1 · Linear
reference_gb1_lr_mr5_contiguousf0_20261105-010824
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 | 1.0819 | 0.9099 | 0.9343 | 0.8150 | 32202.0000 | 0.8527 | 240.0000 | 1.0000 | 1.6333 | 1.9362 | 0.0000 | 0.0000 | 0.9108 | 1.0000 | 1.6351 | 2.0942 | 0.1600 | 0.0000 | 0.9396 | 1.0000 | 1.6244 | 2.1110 | 0.2200 | 0.0000 | 0.9513 | 0.9995 | 1.3941 | 2.1952 | 0.7622 | 0.0000 | 0.9866 |
| validation | 2.4549 | -0.0666 | 0.0021 | -0.2173 | 5374.0000 | 0.0993 | 5575.0000 | 0.6000 | -0.3757 | 0.5963 | 0.0000 | 0.0000 | 0.2800 | 0.4400 | -1.2737 | 0.8068 | 0.0000 | 0.0000 | -0.1196 | 0.4500 | -1.0089 | 1.0909 | 0.0100 | 0.0000 | 0.0036 | 0.4000 | -1.0130 | 1.0909 | 0.0150 | 0.0000 | 0.0017 |
| test | 3.5373 | 0.0829 | 0.1301 | -0.1526 | 1864.0000 | -0.0608 | 4566.0000 | 0.0000 | -3.9239 | -0.1781 | 0.0000 | 0.0000 | -0.6435 | 0.0200 | -3.4647 | 0.0431 | 0.0000 | 0.0000 | -0.5211 | 0.0300 | -3.1647 | 0.4613 | 0.0000 | 0.0000 | -0.4245 | 0.0498 | -3.0320 | 0.4720 | 0.0000 | 0.0000 | -0.3867 |
Loss per epoch
training
validation
Config
name: reference_gb1_lr_mr5_contiguousf0 task: dms data: dataset: gb1 encoding: one_hot,aa_index split_dir: null split_scheme: contiguous split_fold: 0 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