avgfp · Linear
reference_avgfp_lr_modulof4_20261104-165650
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 | 0.5390 | 0.6971 | 0.6347 | 0.4034 | 1414.0000 | 0.1466 | 8837.0000 | 0.7000 | 3.7775 | 3.9081 | 0.0000 | 0.0000 | 0.7282 | 0.3200 | 3.5637 | 3.9081 | 0.0000 | 0.0000 | 0.5745 | 0.3000 | 3.5620 | 4.0860 | 0.0400 | 0.0000 | 0.5984 | 0.3211 | 3.5766 | 4.0860 | 0.0459 | 0.0000 | 0.6174 |
| validation | 0.6660 | -0.0878 | -0.0775 | -0.1719 | 146.0000 | 0.0871 | 204.0000 | 0.2000 | 3.1072 | 3.7468 | 0.0000 | 0.0000 | -0.3186 | 0.1200 | 3.0952 | 3.9052 | 0.0600 | 0.0000 | -0.4013 | 0.1600 | 3.1008 | 3.9052 | 0.1200 | 0.0000 | -0.4239 | 0.1429 | 3.2075 | 3.7468 | 0.0000 | 0.0000 | -0.1563 |
| test | 0.6118 | -0.1108 | -0.0534 | -0.2200 | 152.0000 | 0.0448 | 478.0000 | 0.5000 | 3.0624 | 3.8956 | 0.1000 | 0.0000 | -0.4428 | 0.2400 | 3.1041 | 3.8956 | 0.1000 | 0.0000 | -0.4420 | 0.2300 | 3.0558 | 3.8956 | 0.1800 | 0.0000 | -0.5819 | 0.5000 | 3.1477 | 3.8956 | 0.1250 | 0.0000 | -0.2965 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_modulof4 task: dms data: dataset: avgfp encoding: one_hot,aa_index split_dir: null split_scheme: modulo 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