ube4b · Linear
reference_ube4b_lr_contiguousf3_20261104-162421
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 | captured_at_10 | hit_rate_at_50 | mean_at_50 | max_at_50 | precision_at_50 | captured_at_50 | hit_rate_at_100 | mean_at_100 | max_at_100 | precision_at_100 | captured_at_100 | hit_rate_at_1pct | mean_at_1pct | max_at_1pct | precision_at_1pct | captured_at_1pct | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| train | 3.6771 | 0.2368 | 0.1961 | 0.0530 | 5445.0000 | 0.2810 | 19899.0000 | 0.6000 | 1.4771 | 6.3715 | 0.0000 | 0.3171 | 0.5200 | 0.1435 | 7.2358 | 0.0400 | 0.1836 | 0.5100 | 0.1819 | 7.2358 | 0.0300 | 0.2030 | 0.5091 | 0.2645 | 7.2358 | 0.0636 | 0.2372 | ||||
| validation | 3.0040 | -0.0531 | -0.0616 | -0.0788 | 933.0000 | -0.0262 | 3447.0000 | 0.4000 | -0.9174 | 3.5441 | 0.0000 | 0.0000 | 0.0338 | 0.1600 | -1.2961 | 3.5441 | 0.0400 | 0.0000 | -0.0482 | 0.1500 | -1.4243 | 3.5441 | 0.0400 | 0.0000 | -0.0921 | 0.1842 | -1.0279 | 3.5441 | 0.0526 | 0.0000 | 0.0157 |
| test | 4.8892 | 0.0217 | 0.0392 | -0.3026 | 323.0000 | -0.0967 | 1670.0000 | 0.1000 | -2.1915 | 0.1936 | 0.0000 | 0.0000 | -0.0317 | 0.0800 | -2.1225 | 1.0146 | 0.0000 | 0.0000 | -0.0274 | 0.0900 | -1.9721 | 1.3446 | 0.0000 | 0.0000 | -0.0001 | 0.0800 | -2.0985 | 0.9223 | 0.0000 | 0.0000 | -0.0207 |
Loss per epoch
training
validation
Config
name: reference_ube4b_lr_contiguousf3 task: dms data: dataset: ube4b encoding: one_hot,aa_index split_dir: null split_scheme: contiguous split_fold: 3 model: name: lr train: epochs: 300 batch_size: 64 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7