bgl3 · Linear
reference_bgl3_lr_contiguousf4_20261104-170502
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 | 2.0692 | 0.0715 | 0.0693 | -0.0509 | 5893.0000 | 0.0038 | 14188.0000 | 0.6000 | -0.2726 | 1.5945 | 0.0000 | 0.0000 | 0.0126 | 0.4800 | -0.3278 | 1.8690 | 0.0000 | 0.0000 | -0.0046 | 0.5500 | -0.0137 | 1.9459 | 0.0000 | 0.0000 | 0.1070 | 0.5066 | -0.0979 | 1.9459 | 0.0000 | 0.0000 | 0.0796 |
| validation | 1.9960 | 0.0746 | 0.0651 | 0.0040 | 1218.0000 | -0.0592 | 1526.0000 | 0.5000 | 0.2196 | 1.4833 | 0.0000 | 0.0000 | 0.2558 | 0.3800 | -0.0872 | 1.7856 | 0.0000 | 0.0000 | 0.1983 | 0.3900 | -0.2076 | 3.3229 | 0.0200 | 0.0000 | 0.1702 | 0.4186 | -0.0529 | 1.7856 | 0.0000 | 0.0000 | 0.2067 |
| test | 2.0326 | 0.0011 | -0.0013 | -0.1445 | 1997.0000 | -0.0243 | 2768.0000 | 0.5000 | -0.0356 | 1.2150 | 0.0000 | 0.0000 | 0.0517 | 0.5200 | 0.1030 | 1.9459 | 0.0000 | 0.0000 | 0.1132 | 0.5500 | 0.1311 | 2.2054 | 0.0200 | 0.0000 | 0.1327 | 0.4894 | 0.0474 | 1.9459 | 0.0000 | 0.0000 | 0.0911 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_contiguousf4 task: dms data: dataset: bgl3 encoding: one_hot,aa_index split_dir: null split_scheme: contiguous split_fold: 4 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7