bgl3 · Linear
reference_bgl3_lr_mr5plm_contiguousf0_20261104-222354
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 | 1.1837 | 0.6656 | 0.7032 | 0.3985 | 156.0000 | -0.0441 | 619.0000 | 0.3000 | -0.2634 | 0.2173 | 0.0000 | 0.0000 | 0.5889 | 0.2200 | -0.3195 | 0.2821 | 0.0400 | 0.0000 | 0.6626 | 0.1500 | -0.4750 | 0.3961 | 0.1000 | 0.0000 | 0.6267 | 0.2571 | -0.3367 | 0.2821 | 0.0286 | 0.0000 | 0.6321 |
| validation | 0.9863 | 0.5722 | 0.6287 | 0.3126 | 40.0000 | 0.0128 | 244.0000 | 0.0000 | -1.5585 | -0.1341 | 0.0000 | 0.0000 | -0.1819 | 0.0800 | -0.6014 | 0.1254 | 0.1200 | 0.0000 | 0.4687 | 0.1000 | -0.5073 | 0.4008 | 0.2500 | 0.0000 | 0.5852 | 0.0000 | -1.7168 | -0.2486 | 0.0000 | 0.0000 | -0.2699 |
| test | 1.3666 | 0.5152 | 0.5449 | 0.1952 | 21.0000 | -0.0143 | 79.0000 | 0.0000 | -0.9806 | -0.1154 | 0.0000 | 0.0000 | 0.3932 | 0.0400 | -0.8709 | 0.1840 | 0.1000 | 0.0000 | 0.5098 | 0.0500 | -1.0577 | 0.5199 | 0.2500 | 0.0000 | 0.4384 | 0.0000 | -0.8904 | -0.1154 | 0.0000 | 0.0000 | 0.4414 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_mr5plm_contiguousf0 task: dms data: dataset: bgl3 encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous split_fold: 0 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