bgl3 · Linear
reference_bgl3_lr_mr5_modulof1_20261104-221921
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 | 1.6571 | 0.0684 | 0.0669 | -0.0425 | 136.0000 | 0.1152 | 1212.0000 | 0.0000 | -3.2461 | -1.0369 | 0.0000 | 0.0000 | -0.9719 | 0.0000 | -1.9315 | -0.0197 | 0.0000 | 0.0000 | -0.3425 | 0.0200 | -1.7975 | 0.3707 | 0.0200 | 0.0000 | -0.2834 | 0.0000 | -2.0866 | -0.2309 | 0.0000 | 0.0000 | -0.4079 |
| validation | 1.2084 | -0.0488 | -0.0257 | -0.0285 | 23.0000 | -0.2165 | 331.0000 | 0.0000 | -2.9438 | -0.8034 | 0.0000 | 0.0000 | -1.3409 | 0.0000 | -1.5482 | -0.2065 | 0.0000 | 0.0000 | -0.3823 | 0.0300 | -1.3557 | 0.2595 | 0.0800 | 0.0000 | -0.2334 | 0.0000 | -2.7428 | -0.8034 | 0.0000 | 0.0000 | -1.1691 |
| test | 1.1224 | 0.1221 | 0.1216 | 0.0056 | 47.0000 | -0.0006 | 426.0000 | 0.2000 | -0.8528 | 0.2216 | 0.0000 | 0.0000 | 0.0832 | 0.1400 | -0.6702 | 0.2745 | 0.1400 | 0.0000 | 0.2701 | 0.1000 | -0.7248 | 0.2745 | 0.2200 | 0.0000 | 0.2466 | 0.2857 | -0.4493 | 0.2216 | 0.0000 | 0.0000 | 0.3247 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_mr5_modulof1 task: dms data: dataset: bgl3 encoding: one_hot,aa_index split_dir: null split_scheme: modulo split_fold: 1 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