avgfp · Linear
reference_avgfp_lr_modulof2_20261104-163107
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 | 0.7256 | 0.3754 | 0.3259 | 0.1166 | 1577.0000 | 0.0843 | 1736.0000 | 0.2000 | 3.3660 | 3.7706 | 0.0000 | 0.0000 | 0.2899 | 0.2000 | 3.1305 | 3.8242 | 0.0000 | 0.0000 | 0.0548 | 0.2100 | 3.2083 | 3.8727 | 0.0000 | 0.0000 | 0.1456 | 0.2037 | 3.2148 | 3.8727 | 0.0000 | 0.0000 | 0.1538 |
| validation | 0.8367 | -0.1316 | -0.0346 | -0.1891 | 111.0000 | 0.0550 | 486.0000 | 0.3000 | 2.1234 | 3.8566 | 0.1000 | 0.0000 | -1.4846 | 0.1600 | 2.4061 | 3.8566 | 0.1000 | 0.0000 | -1.2437 | 0.1600 | 2.8142 | 3.8566 | 0.1500 | 0.0000 | -0.6366 | 0.2857 | 2.0720 | 3.8566 | 0.0000 | 0.0000 | -1.5123 |
| test | 0.5485 | -0.0739 | -0.0812 | -0.1800 | 135.0000 | 0.0828 | 793.0000 | 0.0000 | 2.7996 | 3.6147 | 0.0000 | 0.0000 | -0.9874 | 0.1200 | 3.1263 | 3.9210 | 0.0600 | 0.0000 | -0.4668 | 0.1600 | 3.2963 | 3.9210 | 0.1200 | 0.0000 | -0.1230 | 0.0000 | 2.8972 | 3.6147 | 0.0000 | 0.0000 | -0.8015 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_modulof2 task: dms data: dataset: avgfp encoding: one_hot,aa_index split_dir: null split_scheme: modulo 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