avgfp · Linear
reference_avgfp_lr_plm_contiguousf2_20261104-184354
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 | 0.3482 | 0.8373 | 0.8188 | 0.6539 | 835.0000 | 0.1337 | 302.0000 | 0.2000 | 3.6234 | 3.8017 | 0.0000 | 0.0000 | 0.6738 | 0.3600 | 3.6312 | 3.8838 | 0.0000 | 0.0000 | 0.7200 | 0.3900 | 3.6581 | 3.8838 | 0.0300 | 0.0000 | 0.7688 | 0.4028 | 3.6492 | 3.8838 | 0.0139 | 0.0000 | 0.7483 |
| validation | 0.3102 | -0.0398 | 0.0071 | -0.3103 | 366.0000 | 0.0338 | 673.0000 | 0.1000 | 3.3050 | 3.8253 | 0.0000 | 0.0000 | -0.4195 | 0.3600 | 3.5304 | 3.9104 | 0.0200 | 0.0000 | 0.0127 | 0.3100 | 3.4997 | 4.0314 | 0.0800 | 0.0000 | -0.0725 | 0.1538 | 3.3944 | 3.8253 | 0.0000 | 0.0000 | -0.2588 |
| test | 0.6356 | -0.0951 | -0.0390 | -0.2735 | 142.0000 | -0.0023 | 1002.0000 | 0.0000 | 3.0098 | 3.6674 | 0.0000 | 0.0000 | -0.5274 | 0.0400 | 2.6554 | 3.8393 | 0.0400 | 0.0000 | -1.3023 | 0.0900 | 2.8512 | 3.8393 | 0.0600 | 0.0000 | -0.9971 | 0.0000 | 3.0353 | 3.6674 | 0.0000 | 0.0000 | -0.4892 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_plm_contiguousf2 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous 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