avgfp · Linear
reference_avgfp_lr_plm_contiguousf1_20261104-181559
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 | 0.5694 | 0.4160 | 0.3475 | 0.1673 | 1898.0000 | 0.0794 | 3399.0000 | 0.0000 | 3.0692 | 3.6828 | 0.0000 | 0.0000 | -0.1511 | 0.1400 | 3.2919 | 3.8536 | 0.0000 | 0.0000 | 0.1135 | 0.1400 | 3.3434 | 3.9576 | 0.0100 | 0.0000 | 0.1868 | 0.1636 | 3.3535 | 3.9576 | 0.0182 | 0.0000 | 0.2014 |
| validation | 0.5747 | -0.0252 | 0.0209 | -0.1513 | 142.0000 | 0.0166 | 1003.0000 | 0.0000 | 2.9716 | 3.6674 | 0.0000 | 0.0000 | -0.5912 | 0.0400 | 2.6533 | 3.8393 | 0.0200 | 0.0000 | -1.3064 | 0.1000 | 2.9148 | 3.8393 | 0.0700 | 0.0000 | -0.8634 | 0.0000 | 3.0063 | 3.6674 | 0.0000 | 0.0000 | -0.5380 |
| test | 1.3333 | 0.0014 | 0.0316 | -0.3262 | 60.0000 | 0.0345 | 123.0000 | 0.1000 | 2.5358 | 3.7548 | 0.0000 | 0.0000 | -0.2819 | 0.1000 | 2.9361 | 3.8949 | 0.0800 | 0.0000 | 0.1058 | 0.1200 | 2.7798 | 3.9912 | 0.1500 | 0.0000 | -0.0607 | 0.0000 | 2.5040 | 3.5496 | 0.0000 | 0.0000 | -0.3025 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_plm_contiguousf1 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous 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