avgfp · Linear
reference_avgfp_lr_plm_modulof1_20261104-181125
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 | 0.4541 | 0.7553 | 0.6969 | 0.5017 | 1273.0000 | 0.0440 | 309.0000 | 0.3000 | 3.6825 | 3.8524 | 0.0000 | 0.0000 | 0.6557 | 0.4000 | 3.6689 | 3.9912 | 0.0200 | 0.0000 | 0.6849 | 0.3400 | 3.6356 | 3.9912 | 0.0100 | 0.0000 | 0.6773 | 0.3596 | 3.6577 | 3.9912 | 0.0112 | 0.0000 | 0.6963 |
| validation | 0.5459 | 0.0091 | 0.0590 | -0.1745 | 135.0000 | 0.0601 | 399.0000 | 0.1000 | 3.2837 | 3.8536 | 0.0000 | 0.0000 | -0.1201 | 0.2200 | 3.2821 | 3.8536 | 0.0800 | 0.0000 | -0.1427 | 0.1700 | 3.3145 | 3.8536 | 0.1100 | 0.0000 | -0.0818 | 0.1250 | 3.2802 | 3.8536 | 0.0000 | 0.0000 | -0.1247 |
| test | 0.6668 | -0.0516 | -0.0135 | -0.3198 | 216.0000 | 0.1345 | 461.0000 | 0.0000 | 2.5615 | 3.6226 | 0.0000 | 0.0000 | -1.1305 | 0.1200 | 2.9674 | 3.8314 | 0.0200 | 0.0000 | -0.6380 | 0.1300 | 3.1537 | 4.1059 | 0.0300 | 0.0000 | -0.3253 | 0.0000 | 2.6473 | 3.6226 | 0.0000 | 0.0000 | -1.0149 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_plm_modulof1 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: modulo split_fold: 1 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7