gb1 · Linear
reference_gb1_lr_mr20_contiguousf2_20261105-023928
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 | 0.6801 | 0.8965 | 0.9065 | 0.7940 | 38325.0000 | 0.4076 | 179.0000 | 1.0000 | 0.8501 | 1.1279 | 0.0000 | 0.0000 | 0.8142 | 1.0000 | 0.6725 | 1.1863 | 0.0000 | 0.0000 | 0.7803 | 1.0000 | 0.6969 | 1.3464 | 0.0300 | 0.0000 | 0.8029 | 0.9736 | 0.5912 | 1.4720 | 0.2224 | 0.0000 | 0.8617 |
| validation | 8.8631 | 0.1893 | 0.1849 | -0.6084 | 2441.0000 | 0.1722 | 339.0000 | 0.2000 | -1.7679 | 0.3892 | 0.0000 | 0.0000 | 0.3333 | 0.2600 | -1.6582 | 1.4948 | 0.0200 | 0.0000 | 0.3613 | 0.2500 | -1.8741 | 1.4948 | 0.0200 | 0.0000 | 0.3218 | 0.2677 | -2.0384 | 1.6254 | 0.0455 | 0.0000 | 0.2937 |
| test | 11.6744 | -0.3128 | -0.3193 | -1.1743 | 2049.0000 | -0.3314 | 17296.0000 | 0.0000 | -5.6188 | -4.7732 | 0.0000 | 0.0000 | -0.3461 | 0.0000 | -5.4734 | -3.4914 | 0.0000 | 0.0000 | -0.3274 | 0.0000 | -5.3259 | -2.3389 | 0.0000 | 0.0000 | -0.3056 | 0.0000 | -5.1342 | -0.1855 | 0.0000 | 0.0000 | -0.2753 |
Loss per epoch
training
validation
Config
name: reference_gb1_lr_mr20_contiguousf2 task: dms data: dataset: gb1 encoding: one_hot,aa_index split_dir: null split_scheme: contiguous split_fold: 2 min_reads: 20 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7