ube4b · Linear
reference_ube4b_lr_plm_contiguousf4_20261105-043855
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 | 3.5940 | 0.4118 | 0.4224 | 0.1565 | 2870.0000 | 0.3045 | 1434.0000 | 1.0000 | 3.4455 | 6.6184 | 0.2000 | 0.0000 | 0.6014 | 0.9200 | 2.4827 | 6.7153 | 0.0600 | 0.0000 | 0.5639 | 0.9000 | 2.4345 | 7.1065 | 0.1300 | 0.0000 | 0.6014 | 0.8480 | 2.2543 | 7.1065 | 0.2105 | 0.0000 | 0.6178 |
| validation | 2.2727 | 0.2036 | 0.1731 | -0.0003 | 1218.0000 | 0.0034 | 973.0000 | 0.5000 | -0.0119 | 3.1415 | 0.0000 | 0.0000 | 0.1553 | 0.5200 | -0.2302 | 3.1415 | 0.0200 | 0.0000 | 0.1400 | 0.4200 | -0.3606 | 3.1415 | 0.0200 | 0.0000 | 0.1254 | 0.5116 | -0.1915 | 3.1415 | 0.0233 | 0.0000 | 0.1453 |
| test | 2.4656 | 0.3460 | 0.3016 | 0.1146 | 933.0000 | -0.0756 | 969.0000 | 0.1000 | -1.3242 | 0.0941 | 0.0000 | 0.0000 | -0.0430 | 0.2000 | -1.2321 | 2.1010 | 0.0000 | 0.0000 | -0.0327 | 0.2000 | -1.2590 | 2.1010 | 0.0100 | 0.0000 | -0.0456 | 0.2105 | -1.2623 | 0.6790 | 0.0000 | 0.0000 | -0.0379 |
Loss per epoch
training
validation
Config
name: reference_ube4b_lr_plm_contiguousf4 task: dms data: dataset: ube4b encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous split_fold: 4 model: name: lr train: epochs: 300 batch_size: 64 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7