avgfp · Linear
reference_avgfp_lr_contiguousf2_20261104-163907
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 | 0.4764 | 0.8105 | 0.7896 | 0.5265 | 835.0000 | 0.1117 | 356.0000 | 0.1000 | 3.5626 | 3.7418 | 0.0000 | 0.0000 | 0.6204 | 0.2600 | 3.6337 | 3.9122 | 0.0200 | 0.0000 | 0.7223 | 0.3300 | 3.6486 | 3.9363 | 0.0900 | 0.0000 | 0.7597 | 0.3194 | 3.6411 | 3.9363 | 0.0556 | 0.0000 | 0.7407 |
| validation | 0.3183 | -0.0525 | 0.0282 | -0.3444 | 366.0000 | 0.0938 | 1322.0000 | 0.5000 | 3.2710 | 3.8236 | 0.0000 | 0.0000 | -0.4842 | 0.3600 | 3.5221 | 4.0212 | 0.0600 | 0.0000 | -0.0080 | 0.3800 | 3.5173 | 4.0212 | 0.1200 | 0.0000 | -0.0227 | 0.3846 | 3.3578 | 3.8236 | 0.0000 | 0.0000 | -0.3312 |
| test | 0.6697 | -0.1051 | -0.1491 | -0.3417 | 142.0000 | -0.0555 | 971.0000 | 0.0000 | 2.4676 | 3.6974 | 0.0000 | 0.0000 | -1.4340 | 0.0400 | 3.0991 | 3.8421 | 0.0200 | 0.0000 | -0.4397 | 0.0300 | 2.9834 | 3.8421 | 0.0200 | 0.0000 | -0.7190 | 0.0000 | 2.5618 | 3.6974 | 0.0000 | 0.0000 | -1.2880 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_contiguousf2 task: dms data: dataset: avgfp encoding: one_hot,aa_index 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