gb1 · Linear
reference_gb1_lr_plm_contiguousf1_20261104-181803
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 | 1.0165 | 0.8951 | 0.9257 | 0.7965 | 33066.0000 | 0.4797 | 3548.0000 | 1.0000 | 1.4545 | 1.6326 | 0.0000 | 0.0000 | 0.9330 | 1.0000 | 1.3812 | 1.7412 | 0.1800 | 0.0000 | 0.9460 | 1.0000 | 1.3234 | 1.7412 | 0.3000 | 0.0000 | 0.9456 | 0.9942 | 0.8720 | 1.8220 | 0.3958 | 0.0000 | 0.9212 |
| validation | 5.3500 | 0.3869 | 0.3878 | 0.0082 | 2092.0000 | -0.0764 | 11169.0000 | 0.6000 | -0.3995 | 1.3595 | 0.0000 | 0.0000 | 0.5917 | 0.4600 | -1.1317 | 1.4897 | 0.0000 | 0.0000 | 0.4726 | 0.3600 | -1.6249 | 1.4897 | 0.0100 | 0.0000 | 0.3888 | 0.3284 | -1.6699 | 1.4897 | 0.0547 | 0.0000 | 0.3892 |
| test | 4.6050 | -0.1361 | -0.1498 | -1.2820 | 5403.0000 | -0.0294 | 7744.0000 | 0.5000 | -0.2281 | 0.8501 | 0.0000 | 0.0000 | 0.3325 | 0.3200 | -0.6559 | 0.9476 | 0.0000 | 0.0000 | 0.1637 | 0.3200 | -0.8169 | 0.9476 | 0.0000 | 0.0000 | 0.0936 | 0.3035 | -0.9062 | 0.9476 | 0.0050 | 0.0000 | 0.0536 |
Loss per epoch
training
validation
Config
name: reference_gb1_lr_plm_contiguousf1 task: dms data: dataset: gb1 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