bgl3 · Linear
reference_bgl3_lr_plm_contiguousf2_20261104-184427
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 | 1.7182 | 0.3029 | 0.2737 | 0.0796 | 4995.0000 | -0.0564 | 1201.0000 | 0.5000 | -0.4213 | 1.3581 | 0.0000 | 0.0000 | -0.0169 | 0.4800 | 0.0563 | 2.2054 | 0.0000 | 0.0000 | 0.1414 | 0.4700 | -0.0099 | 2.4567 | 0.0200 | 0.0000 | 0.1264 | 0.4485 | -0.0549 | 2.4567 | 0.0368 | 0.0000 | 0.1132 |
| validation | 1.8028 | 0.2635 | 0.1951 | 0.0692 | 1899.0000 | -0.0771 | 3997.0000 | 0.6000 | 0.4348 | 1.7856 | 0.0000 | 0.0000 | 0.2259 | 0.4600 | 0.0063 | 2.2054 | 0.0000 | 0.0000 | 0.1047 | 0.4800 | -0.0235 | 2.2054 | 0.0100 | 0.0000 | 0.1004 | 0.4490 | -0.0261 | 2.2054 | 0.0000 | 0.0000 | 0.0928 |
| test | 2.1507 | 0.1228 | 0.0747 | -0.0073 | 1465.0000 | -0.0486 | 568.0000 | 0.3000 | -0.5245 | 1.9459 | 0.0000 | 0.0000 | -0.0093 | 0.3000 | -0.9482 | 2.1466 | 0.0200 | 0.0000 | -0.1585 | 0.3500 | -0.6395 | 2.3136 | 0.0400 | 0.0000 | -0.0542 | 0.2093 | -1.2353 | 1.9459 | 0.0000 | 0.0000 | -0.2551 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_plm_contiguousf2 task: dms data: dataset: bgl3 encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous 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