ube4b · Linear
reference_ube4b_lr_contiguousf1_20261104-154659
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 | 2.9051 | 0.2956 | 0.2807 | 0.0798 | 9072.0000 | 0.1396 | 4476.0000 | 0.4000 | -0.1882 | 2.4235 | 0.0000 | 0.1443 | 0.5200 | -0.0308 | 3.9300 | 0.0000 | 0.1894 | 0.5200 | 0.1124 | 5.2525 | 0.0400 | 0.2292 | 0.4319 | -0.1939 | 7.5533 | 0.1127 | 0.2203 | ||||
| validation | 6.0891 | -0.0790 | -0.0431 | -0.0499 | 88.0000 | -0.2505 | 304.0000 | 0.0000 | -3.6295 | -1.9357 | 0.0000 | 0.0000 | -0.3234 | 0.0800 | -2.3757 | 3.0628 | 0.0600 | 0.0000 | -0.1687 | 0.1400 | -2.0312 | 5.2799 | 0.1600 | 0.0000 | -0.1306 | 0.0000 | -3.3346 | -2.3914 | 0.0000 | 0.0000 | -0.2467 |
| test | 3.8303 | -0.0383 | -0.0373 | -0.0793 | 458.0000 | -0.0905 | 1819.0000 | 0.1000 | -2.3625 | 0.1936 | 0.0000 | 0.0000 | -0.1259 | 0.1200 | -2.3552 | 3.8996 | 0.0200 | 0.0000 | -0.1554 | 0.1100 | -2.1515 | 3.8996 | 0.0100 | 0.0000 | -0.1253 | 0.1923 | -2.1930 | 3.8996 | 0.0385 | 0.0000 | -0.1076 |
Loss per epoch
training
validation
Config
name: reference_ube4b_lr_contiguousf1 task: dms data: dataset: ube4b encoding: one_hot,aa_index split_dir: null split_scheme: contiguous split_fold: 1 model: name: lr train: epochs: 300 batch_size: 64 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7