bgl3 · Linear
reference_bgl3_lr_mr5plm_modulof1_20261104-222515
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 | 0.9002 | 0.6721 | 0.6909 | 0.4337 | 136.0000 | 0.0469 | 792.0000 | 0.2000 | -0.5327 | 0.2173 | 0.0000 | 0.0000 | 0.4211 | 0.1800 | -0.3424 | 0.3961 | 0.0400 | 0.0000 | 0.5982 | 0.1200 | -0.4051 | 0.3961 | 0.0800 | 0.0000 | 0.6042 | 0.1111 | -0.4028 | 0.2173 | 0.0000 | 0.0000 | 0.5283 |
| validation | 0.9871 | 0.4140 | 0.4941 | 0.1598 | 23.0000 | -0.0400 | 111.0000 | 0.1000 | -1.8363 | 0.1022 | 0.0000 | 0.0000 | -0.5332 | 0.0800 | -1.0203 | 0.2821 | 0.1200 | 0.0000 | 0.0733 | 0.0800 | -0.8470 | 0.2821 | 0.2700 | 0.0000 | 0.2405 | 0.1250 | -1.9927 | 0.1022 | 0.0000 | 0.0000 | -0.6336 |
| test | 0.7904 | 0.5798 | 0.5938 | 0.2997 | 47.0000 | -0.1437 | 206.0000 | 0.1000 | -0.2432 | 0.1391 | 0.0000 | 0.0000 | 0.4853 | 0.1000 | -0.3065 | 0.1391 | 0.1200 | 0.0000 | 0.5885 | 0.1300 | -0.3176 | 0.2216 | 0.2700 | 0.0000 | 0.6422 | 0.1429 | -0.2054 | 0.1391 | 0.0000 | 0.0000 | 0.4742 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_mr5plm_modulof1 task: dms data: dataset: bgl3 encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: modulo 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