avgfp · Linear
reference_avgfp_lr_contiguousf4_20261104-170415
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 | 0.7920 | 0.3861 | 0.3425 | 0.1321 | 1613.0000 | 0.0648 | 11165.0000 | 0.3000 | 3.6631 | 3.7758 | 0.0000 | 0.0000 | 0.6209 | 0.2000 | 3.2525 | 3.9580 | 0.0200 | 0.0000 | 0.2518 | 0.2200 | 3.1982 | 3.9580 | 0.0100 | 0.0000 | 0.2054 | 0.2119 | 3.2229 | 3.9580 | 0.0169 | 0.0000 | 0.2334 |
| validation | 0.8325 | -0.1364 | -0.0745 | -0.1723 | 109.0000 | 0.1005 | 136.0000 | 0.2000 | 2.6021 | 3.8655 | 0.0000 | 0.0000 | -0.7584 | 0.1800 | 2.6978 | 3.9178 | 0.0600 | 0.0000 | -0.7351 | 0.1700 | 2.8342 | 3.9178 | 0.1600 | 0.0000 | -0.5622 | 0.2857 | 2.5790 | 3.8655 | 0.0000 | 0.0000 | -0.7696 |
| test | 0.5876 | -0.1291 | -0.0681 | -0.4346 | 156.0000 | 0.0315 | 690.0000 | 0.3000 | 2.7681 | 3.8627 | 0.1000 | 0.0000 | -1.2914 | 0.1800 | 2.9254 | 3.8627 | 0.0600 | 0.0000 | -1.1003 | 0.1900 | 2.9888 | 3.8627 | 0.1300 | 0.0000 | -1.0303 | 0.3750 | 2.8308 | 3.8627 | 0.0000 | 0.0000 | -1.1473 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_contiguousf4 task: dms data: dataset: avgfp encoding: one_hot,aa_index 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