bgl3 · Linear
reference_bgl3_lr_contiguousf1_20261104-154038
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 | 1.2640 | 0.6107 | 0.5838 | 0.3538 | 5657.0000 | 0.2002 | 5422.0000 | 1.0000 | 1.6010 | 3.1160 | 0.1000 | 0.5602 | 0.9400 | 1.2471 | 3.1160 | 0.0200 | 0.5199 | 0.9100 | 1.1433 | 3.1160 | 0.0200 | 0.5178 | 0.9000 | 1.1256 | 3.1160 | 0.0267 | 0.5312 | ||||
| validation | 2.1755 | -0.0301 | -0.0227 | -0.0189 | 1465.0000 | 0.0298 | 2513.0000 | 0.2000 | -1.0070 | 1.5945 | 0.0000 | 0.0000 | -0.1580 | 0.1800 | -1.2767 | 1.8690 | 0.0000 | 0.0000 | -0.2732 | 0.2100 | -1.1896 | 1.8690 | 0.0100 | 0.0000 | -0.2598 | 0.1860 | -1.3067 | 1.8690 | 0.0000 | 0.0000 | -0.2797 |
| test | 1.7232 | -0.0169 | -0.0236 | -0.0403 | 1203.0000 | -0.0173 | 2786.0000 | 0.7000 | 0.2979 | 1.2150 | 0.0000 | 0.0000 | 0.2248 | 0.4800 | 0.0830 | 1.8690 | 0.0000 | 0.0000 | 0.1604 | 0.4400 | -0.1203 | 1.9459 | 0.0400 | 0.0000 | 0.0856 | 0.5294 | 0.1446 | 1.7856 | 0.0000 | 0.0000 | 0.1793 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_contiguousf1 task: dms data: dataset: bgl3 encoding: one_hot,aa_index split_dir: null split_scheme: contiguous split_fold: 1 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7