avgfp · Linear
reference_avgfp_lr_plm_contiguousf3_20261105-040452
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 | 0.4026 | 0.8157 | 0.8044 | 0.6118 | 805.0000 | 0.2090 | 80.0000 | 0.4000 | 3.7323 | 4.0860 | 0.1000 | 0.0000 | 0.7496 | 0.3400 | 3.6754 | 4.0860 | 0.0600 | 0.0000 | 0.7531 | 0.4200 | 3.6956 | 4.1231 | 0.1200 | 0.0000 | 0.7999 | 0.3810 | 3.6903 | 4.1231 | 0.0714 | 0.0000 | 0.7874 |
| validation | 0.4703 | 0.0273 | 0.0101 | -0.1483 | 156.0000 | 0.0234 | 373.0000 | 0.1000 | 3.3137 | 3.8226 | 0.0000 | 0.0000 | -0.1786 | 0.1600 | 3.3783 | 3.8695 | 0.0600 | 0.0000 | -0.0532 | 0.1600 | 3.3476 | 3.8695 | 0.0800 | 0.0000 | -0.1342 | 0.1250 | 3.2720 | 3.8226 | 0.0000 | 0.0000 | -0.2600 |
| test | 0.3333 | -0.0626 | 0.0067 | -0.4077 | 366.0000 | 0.0336 | 562.0000 | 0.2000 | 3.3337 | 3.8253 | 0.0000 | 0.0000 | -0.3648 | 0.3200 | 3.5648 | 3.9104 | 0.0200 | 0.0000 | 0.0983 | 0.3200 | 3.5154 | 3.9104 | 0.0800 | 0.0000 | -0.0281 | 0.3077 | 3.4110 | 3.8253 | 0.0000 | 0.0000 | -0.2261 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_plm_contiguousf3 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous split_fold: 3 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7