bgl3 · Linear
reference_bgl3_lr_mr5_modulof0_20261104-221717
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 | 1.2978 | 0.6513 | 0.6260 | 0.2161 | 109.0000 | 0.1268 | 1126.0000 | 0.1000 | -0.4432 | 0.1561 | 0.0000 | 0.0000 | 0.4971 | 0.0600 | -0.4688 | 0.5199 | 0.0600 | 0.0000 | 0.5590 | 0.0800 | -0.4690 | 0.5199 | 0.0800 | 0.0000 | 0.5974 | 0.0690 | -0.4827 | 0.5199 | 0.0345 | 0.0000 | 0.5209 |
| validation | 1.1163 | 0.1084 | 0.1099 | 0.0109 | 47.0000 | -0.0061 | 421.0000 | 0.2000 | -0.8528 | 0.2216 | 0.0000 | 0.0000 | 0.0832 | 0.1400 | -0.7341 | 0.2745 | 0.1400 | 0.0000 | 0.2142 | 0.0900 | -0.7275 | 0.2745 | 0.2100 | 0.0000 | 0.2441 | 0.2857 | -0.3079 | 0.2216 | 0.0000 | 0.0000 | 0.4114 |
| test | 1.2409 | -0.1533 | -0.1214 | -0.0746 | 49.0000 | 0.0782 | 182.0000 | 0.0000 | -2.5721 | -0.4452 | 0.0000 | 0.0000 | -1.0278 | 0.0200 | -1.9730 | 0.1282 | 0.0200 | 0.0000 | -0.7555 | 0.0500 | -1.6545 | 0.3088 | 0.0900 | 0.0000 | -0.5497 | 0.0000 | -2.5400 | -1.0369 | 0.0000 | 0.0000 | -0.9805 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_mr5_modulof0 task: dms data: dataset: bgl3 encoding: one_hot,aa_index split_dir: null split_scheme: modulo 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