bgl3 · Linear
reference_bgl3_lr_modulof2_20261104-163153
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 | 1.8322 | 0.0737 | 0.0687 | -0.0023 | 3477.0000 | -0.0203 | 974.0000 | 0.3000 | -0.9676 | 1.8690 | 0.0000 | 0.0000 | -0.1952 | 0.4400 | -0.1976 | 1.8690 | 0.0000 | 0.0000 | 0.0497 | 0.4400 | -0.2072 | 1.8690 | 0.0000 | 0.0000 | 0.0490 | 0.4421 | -0.2056 | 1.8690 | 0.0000 | 0.0000 | 0.0494 |
| validation | 1.3857 | 0.0517 | 0.0749 | -0.0050 | 437.0000 | -0.0190 | 568.0000 | 0.7000 | 0.1655 | 1.5945 | 0.0000 | 0.0000 | 0.1878 | 0.3600 | -0.2226 | 1.5945 | 0.0200 | 0.0000 | 0.0776 | 0.3400 | -0.2351 | 2.3136 | 0.1100 | 0.0000 | 0.0822 | 0.5000 | -0.0489 | 1.5945 | 0.0000 | 0.0000 | 0.1241 |
| test | 1.5826 | -0.0289 | -0.0172 | -0.0267 | 432.0000 | -0.0514 | 181.0000 | 0.2000 | -1.4378 | 1.0480 | 0.0000 | 0.0000 | -0.3172 | 0.2800 | -0.8514 | 2.1466 | 0.0400 | 0.0000 | -0.1294 | 0.3400 | -0.5399 | 2.1466 | 0.0800 | 0.0000 | -0.0028 | 0.2941 | -1.1107 | 2.1466 | 0.0588 | 0.0000 | -0.2098 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_modulof2 task: dms data: dataset: bgl3 encoding: one_hot,aa_index split_dir: null split_scheme: modulo split_fold: 2 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7