gb1 · Linear
reference_gb1_lr_plm_contiguousf4_20261105-043358
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 | 1.0141 | 0.9159 | 0.9445 | 0.8217 | 30951.0000 | 0.8195 | 91.0000 | 1.0000 | 1.6154 | 1.9240 | 0.0000 | 0.0000 | 0.8887 | 1.0000 | 1.6203 | 2.0942 | 0.1000 | 0.0000 | 0.9315 | 1.0000 | 1.6229 | 2.5295 | 0.2500 | 0.0000 | 0.9507 | 0.9995 | 1.3569 | 2.5295 | 0.7366 | 0.0000 | 0.9822 |
| validation | 2.7846 | 0.3251 | 0.2788 | 0.0929 | 1866.0000 | 0.0828 | 13753.0000 | 0.1000 | -1.6863 | 0.3348 | 0.0000 | 0.0000 | 0.1053 | 0.2600 | -1.0300 | 0.7502 | 0.0400 | 0.0000 | 0.3475 | 0.2300 | -1.1447 | 0.7502 | 0.0700 | 0.0000 | 0.3156 | 0.2040 | -1.1108 | 0.7502 | 0.0498 | 0.0000 | 0.3380 |
| test | 5.9806 | 0.1173 | 0.0197 | -0.3485 | 5856.0000 | 0.0026 | 13411.0000 | 0.0000 | -1.2758 | -0.9007 | 0.0000 | 0.0000 | 0.0987 | 0.0000 | -1.6988 | -0.6533 | 0.0000 | 0.0000 | -0.0489 | 0.0200 | -1.6777 | 0.5159 | 0.0000 | 0.0000 | -0.0424 | 0.0199 | -1.7001 | 0.5880 | 0.0000 | 0.0000 | -0.0523 |
Loss per epoch
training
validation
Config
name: reference_gb1_lr_plm_contiguousf4 task: dms data: dataset: gb1 encoding: one_hot,aa_index,plm,plm_sum 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