gb1 · Linear
reference_gb1_lr_mr5_contiguousf2_20261105-014511
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 | 0.6515 | 0.8999 | 0.9104 | 0.8014 | 40023.0000 | 0.4146 | 38290.0000 | 1.0000 | 0.7653 | 1.1279 | 0.0000 | 0.0000 | 0.7664 | 1.0000 | 0.7301 | 1.3816 | 0.0400 | 0.0000 | 0.7885 | 1.0000 | 0.7176 | 1.3816 | 0.0300 | 0.0000 | 0.7997 | 0.9748 | 0.5954 | 1.4720 | 0.2091 | 0.0000 | 0.8555 |
| validation | 8.6305 | 0.1892 | 0.1851 | -0.5739 | 2471.0000 | 0.1705 | 340.0000 | 0.2000 | -1.7679 | 0.3892 | 0.0000 | 0.0000 | 0.3311 | 0.2600 | -1.6582 | 1.4948 | 0.0200 | 0.0000 | 0.3593 | 0.2500 | -1.8741 | 1.4948 | 0.0200 | 0.0000 | 0.3196 | 0.2700 | -2.0380 | 1.6254 | 0.0500 | 0.0000 | 0.2915 |
| test | 11.4613 | -0.3136 | -0.3196 | -1.1254 | 2090.0000 | -0.3286 | 15374.0000 | 0.0000 | -5.6188 | -4.7732 | 0.0000 | 0.0000 | -0.3463 | 0.0000 | -5.4734 | -3.4914 | 0.0000 | 0.0000 | -0.3290 | 0.0000 | -5.3259 | -2.3389 | 0.0000 | 0.0000 | -0.3075 | 0.0000 | -5.1309 | -0.1855 | 0.0000 | 0.0000 | -0.2771 |
Loss per epoch
training
validation
Config
name: reference_gb1_lr_mr5_contiguousf2 task: dms data: dataset: gb1 encoding: one_hot,aa_index split_dir: null split_scheme: contiguous split_fold: 2 min_reads: 5 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7