avgfp · Linear
reference_avgfp_lr_plm_modulof2_20261104-183530
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 | 0.7685 | 0.2763 | 0.2454 | 0.0643 | 1577.0000 | 0.0741 | 2295.0000 | 0.1000 | 3.1126 | 3.8452 | 0.0000 | 0.0000 | 0.0327 | 0.2400 | 3.0798 | 3.9755 | 0.0400 | 0.0000 | -0.0007 | 0.2100 | 2.9893 | 4.0051 | 0.0300 | 0.0000 | -0.1037 | 0.1944 | 2.9661 | 4.0051 | 0.0278 | 0.0000 | -0.1307 |
| validation | 0.7911 | -0.0816 | 0.0103 | -0.1242 | 111.0000 | 0.0277 | 417.0000 | 0.0000 | 2.4590 | 3.6939 | 0.0000 | 0.0000 | -1.0178 | 0.0800 | 2.9709 | 3.8949 | 0.0400 | 0.0000 | -0.3485 | 0.1800 | 3.0395 | 3.8949 | 0.1800 | 0.0000 | -0.2558 | 0.0000 | 2.3130 | 3.6939 | 0.0000 | 0.0000 | -1.1866 |
| test | 0.5455 | -0.0076 | 0.0572 | -0.1736 | 135.0000 | 0.0351 | 377.0000 | 0.1000 | 3.3646 | 3.8536 | 0.0000 | 0.0000 | 0.0249 | 0.1800 | 3.1266 | 3.8536 | 0.0400 | 0.0000 | -0.4661 | 0.1900 | 3.3709 | 3.8536 | 0.1200 | 0.0000 | 0.0455 | 0.1250 | 3.3153 | 3.8536 | 0.0000 | 0.0000 | -0.0626 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_plm_modulof2 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum 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