ube4b · Linear
reference_ube4b_lr_contiguousf2_20261104-164718
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 | 2.3528 | 0.4754 | 0.4874 | 0.2038 | 9957.0000 | 0.1547 | 14675.0000 | 0.7000 | 1.1383 | 4.0867 | 0.0000 | 0.0000 | 0.3192 | 0.7800 | 1.1611 | 4.5416 | 0.0200 | 0.0000 | 0.3807 | 0.7800 | 1.0770 | 4.5416 | 0.0200 | 0.0000 | 0.4001 | 0.7033 | 0.6916 | 4.6530 | 0.0888 | 0.0000 | 0.4104 |
| validation | 4.6330 | 0.0133 | 0.0278 | -0.2343 | 323.0000 | -0.0921 | 1660.0000 | 0.1000 | -2.0960 | 0.1936 | 0.0000 | 0.0000 | -0.0179 | 0.0800 | -2.0425 | 1.0146 | 0.0000 | 0.0000 | -0.0129 | 0.0900 | -1.9741 | 1.2475 | 0.0000 | 0.0000 | -0.0005 | 0.0800 | -2.2255 | 0.9223 | 0.0000 | 0.0000 | -0.0413 |
| test | 6.1204 | -0.0869 | -0.0528 | -0.0553 | 88.0000 | -0.2461 | 319.0000 | 0.0000 | -3.5803 | -1.9357 | 0.0000 | 0.0000 | -0.3156 | 0.0600 | -2.5942 | 2.9449 | 0.0400 | 0.0000 | -0.2158 | 0.1400 | -2.0441 | 5.2799 | 0.1600 | 0.0000 | -0.1344 | 0.0000 | -3.4479 | -2.8445 | 0.0000 | 0.0000 | -0.2628 |
Loss per epoch
training
validation
Config
name: reference_ube4b_lr_contiguousf2 task: dms data: dataset: ube4b encoding: one_hot,aa_index split_dir: null split_scheme: contiguous split_fold: 2 model: name: lr train: epochs: 300 batch_size: 64 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7