bgl3 · Linear
reference_bgl3_lr_mr5_contiguousf0_20261104-221755
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 | 1.8835 | 0.4373 | 0.4277 | 0.0429 | 156.0000 | 0.1343 | 1321.0000 | 0.1000 | -1.2447 | 0.2216 | 0.0000 | 0.0000 | 0.1815 | 0.0600 | -1.2168 | 0.2216 | 0.0200 | 0.0000 | 0.2262 | 0.0600 | -1.0388 | 0.3707 | 0.0400 | 0.0000 | 0.3340 | 0.0857 | -1.2426 | 0.2216 | 0.0000 | 0.0000 | 0.2064 |
| validation | 1.4613 | -0.0195 | -0.0115 | -0.0184 | 40.0000 | -0.0429 | 874.0000 | 0.0000 | -1.8292 | -0.2389 | 0.0000 | 0.0000 | -0.3403 | 0.0000 | -2.0870 | -0.0988 | 0.0000 | 0.0000 | -0.6086 | 0.0300 | -1.6990 | 0.5351 | 0.0800 | 0.0000 | -0.3567 | 0.0000 | -1.7381 | -0.2389 | 0.0000 | 0.0000 | -0.2822 |
| test | 1.9977 | 0.1095 | 0.0995 | -0.1765 | 21.0000 | -0.1715 | 120.0000 | 0.0000 | -1.7655 | -0.0197 | 0.0000 | 0.0000 | 0.0294 | 0.0200 | -1.8629 | 0.0082 | 0.0600 | 0.0000 | -0.0180 | 0.0600 | -1.7121 | 0.2750 | 0.1500 | 0.0000 | 0.0664 | 0.0000 | -1.6750 | -0.0197 | 0.0000 | 0.0000 | 0.0724 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_mr5_contiguousf0 task: dms data: dataset: bgl3 encoding: one_hot,aa_index split_dir: null split_scheme: contiguous split_fold: 0 min_reads: 5 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7