bgl3 · Linear
reference_bgl3_lr_mr5plm_contiguousf1_20261104-222546
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 | 1.3436 | 0.5626 | 0.5959 | 0.2730 | 151.0000 | -0.0671 | 777.0000 | 0.2000 | -1.0784 | 0.2173 | 0.0000 | 0.0000 | 0.2378 | 0.1600 | -0.7472 | 0.3961 | 0.0400 | 0.0000 | 0.4423 | 0.1400 | -0.8115 | 0.3961 | 0.0800 | 0.0000 | 0.4394 | 0.1765 | -0.8243 | 0.3961 | 0.0294 | 0.0000 | 0.3900 |
| validation | 1.7718 | 0.3148 | 0.2895 | 0.0705 | 26.0000 | -0.2007 | 651.0000 | 0.0000 | -2.1183 | -0.3805 | 0.0000 | 0.0000 | -0.1766 | 0.0000 | -2.0682 | -0.1352 | 0.0000 | 0.0000 | -0.1737 | 0.0000 | -1.9127 | -0.1352 | 0.0400 | 0.0000 | -0.0942 | 0.0000 | -2.0249 | -0.2397 | 0.0000 | 0.0000 | -0.1331 |
| test | 1.4333 | 0.5756 | 0.6317 | 0.0011 | 40.0000 | 0.0114 | 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 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_mr5plm_contiguousf1 task: dms data: dataset: bgl3 encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: contiguous split_fold: 1 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