pab1 · Linear
reference_pab1_lr_plm_contiguousf4_20261105-043837
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 | 1.0469 | 0.8981 | 0.9199 | 0.7481 | 1652.0000 | 0.0052 | 1707.0000 | 0.4000 | -0.2059 | 0.4333 | 0.0000 | 0.0000 | 0.6439 | 0.4200 | -0.0819 | 0.5644 | 0.0200 | 0.0000 | 0.7366 | 0.5000 | -0.0279 | 0.6496 | 0.0400 | 0.0000 | 0.7825 | 0.4778 | -0.0599 | 0.6496 | 0.0556 | 0.0000 | 0.7946 |
| validation | 2.1873 | 0.6501 | 0.6659 | 0.4099 | 222.0000 | 0.0774 | 1747.0000 | 0.1000 | -0.7192 | 0.0215 | 0.0000 | 0.0000 | 0.6111 | 0.1200 | -0.7066 | 0.4030 | 0.0400 | 0.0000 | 0.6453 | 0.1100 | -0.6993 | 0.4186 | 0.0400 | 0.0000 | 0.6687 | 0.1224 | -0.7047 | 0.4030 | 0.0408 | 0.0000 | 0.6453 |
| test | 1.5874 | 0.6844 | 0.5447 | 0.1490 | 931.0000 | -0.0179 | 1391.0000 | 0.2000 | -0.3348 | 0.1090 | 0.0000 | 0.0000 | 0.3294 | 0.1800 | -0.3619 | 0.7857 | 0.0400 | 0.0000 | 0.3649 | 0.2200 | -0.3500 | 0.7857 | 0.0400 | 0.0000 | 0.4014 | 0.1778 | -0.3555 | 0.7857 | 0.0444 | 0.0000 | 0.3647 |
Loss per epoch
training
validation
Config
name: reference_pab1_lr_plm_contiguousf4 task: dms data: dataset: pab1 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: 0.001 patience: 15 min_delta: 1.0e-05 seed: 7