gb1 · Linear
reference_gb1_lr_modulof4_20261104-170052
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 | 1.1768 | 0.8823 | 0.9113 | 0.7693 | 35489.0000 | 0.4027 | 2015.0000 | 1.0000 | 1.4401 | 1.8424 | 0.0000 | 0.0000 | 0.8344 | 1.0000 | 1.3984 | 2.0531 | 0.1000 | 0.0000 | 0.8672 | 0.9900 | 1.2581 | 2.0531 | 0.0700 | 0.0000 | 0.8524 | 0.9664 | 0.8939 | 2.2042 | 0.2712 | 0.0000 | 0.8575 |
| validation | 6.4007 | -0.1200 | -0.0993 | -0.1467 | 2689.0000 | -0.0532 | 1664.0000 | 0.2000 | -4.5538 | 0.2860 | 0.0000 | 0.0000 | -0.4437 | 0.1800 | -4.2802 | 0.5355 | 0.0000 | 0.0000 | -0.3955 | 0.1300 | -4.2196 | 0.5355 | 0.0000 | 0.0000 | -0.3892 | 0.1642 | -4.0978 | 0.6945 | 0.0000 | 0.0000 | -0.3656 |
| test | 4.8742 | 0.0301 | 0.0605 | -0.0549 | 3230.0000 | 0.2070 | 822.0000 | 0.0000 | -3.7384 | -1.5253 | 0.0000 | 0.0000 | -0.3842 | 0.0400 | -3.1573 | 0.4939 | 0.0000 | 0.0000 | -0.2408 | 0.0400 | -2.9817 | 0.4939 | 0.0000 | 0.0000 | -0.1973 | 0.0547 | -3.0389 | 0.6237 | 0.0000 | 0.0000 | -0.2190 |
Loss per epoch
training
validation
Config
name: reference_gb1_lr_modulof4 task: dms data: dataset: gb1 encoding: one_hot,aa_index split_dir: null split_scheme: modulo split_fold: 4 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7