pab1 · Linear
reference_pab1_lr_contiguousf2_20261104-164455
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 | 1.2690 | 0.9021 | 0.9225 | 0.6528 | 1747.0000 | 0.2544 | 35.0000 | 0.6000 | 0.1004 | 0.7331 | 0.0000 | 0.0000 | 0.6974 | 0.7200 | 0.2039 | 1.5204 | 0.1000 | 0.0000 | 0.7983 | 0.6600 | 0.1440 | 1.5204 | 0.1200 | 0.0000 | 0.8106 | 0.6389 | 0.1055 | 1.5204 | 0.1778 | 0.0000 | 0.8264 |
| validation | 2.9258 | -0.1008 | -0.1266 | -0.1529 | 383.0000 | 0.0762 | 84.0000 | 0.1000 | -0.7278 | 0.1361 | 0.0000 | 0.0000 | 0.2329 | 0.1600 | -0.9812 | 0.7204 | 0.0600 | 0.0000 | 0.1221 | 0.1700 | -1.1762 | 1.2069 | 0.0800 | 0.0000 | 0.0109 | 0.1875 | -0.8353 | 0.4144 | 0.0000 | 0.0000 | 0.1974 |
| test | 6.5522 | -0.0515 | -0.0725 | -0.5426 | 475.0000 | 0.0871 | 2278.0000 | 0.0000 | -2.0773 | -0.3224 | 0.0000 | 0.0000 | 0.0639 | 0.0200 | -2.2308 | 0.6476 | 0.0200 | 0.0000 | 0.0123 | 0.0100 | -2.4369 | 0.6476 | 0.0100 | 0.0000 | -0.0656 | 0.0208 | -2.2728 | 0.6476 | 0.0208 | 0.0000 | -0.0031 |
Loss per epoch
training
validation
Config
name: reference_pab1_lr_contiguousf2 task: dms data: dataset: pab1 encoding: one_hot,aa_index split_dir: null split_scheme: contiguous split_fold: 2 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.001 patience: 15 min_delta: 1.0e-05 seed: 7