pab1 · Linear
reference_pab1_lr_contiguousf3_20261104-162325
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 | 1.2877 | 0.8702 | 0.9012 | 0.6754 | 1489.0000 | 0.1303 | 850.0000 | 0.7000 | 0.0931 | 0.4294 | 0.0000 | 0.7899 | 0.5000 | -0.0347 | 0.6496 | 0.0600 | 0.7938 | 0.5300 | -0.0426 | 0.6496 | 0.0500 | 0.8133 | 0.4907 | -0.0724 | 0.6496 | 0.0888 | 0.8281 | ||||
| validation | 2.2807 | -0.2349 | -0.2431 | -0.2227 | 931.0000 | 0.0492 | 2873.0000 | 0.0000 | -2.8898 | -0.5338 | 0.0000 | 0.0000 | -0.9302 | 0.0200 | -2.4399 | 0.0492 | 0.0000 | 0.0000 | -0.8179 | 0.0400 | -2.3454 | 0.5751 | 0.0200 | 0.0000 | -0.8251 | 0.0222 | -2.4769 | 0.0492 | 0.0000 | 0.0000 | -0.8300 |
| test | 2.9757 | -0.1621 | -0.1771 | -0.1726 | 383.0000 | 0.0390 | 250.0000 | 0.0000 | -2.3835 | -0.5713 | 0.0000 | 0.0000 | -0.5947 | 0.0800 | -1.6236 | 0.1959 | 0.0000 | 0.0000 | -0.2469 | 0.0800 | -1.5543 | 0.4144 | 0.0300 | 0.0000 | -0.2243 | 0.0625 | -1.8609 | 0.1361 | 0.0000 | 0.0000 | -0.3674 |
Loss per epoch
training
validation
Config
name: reference_pab1_lr_contiguousf3 task: dms data: dataset: pab1 encoding: one_hot,aa_index split_dir: null split_scheme: contiguous split_fold: 3 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.001 patience: 15 min_delta: 1.0e-05 seed: 7