bgl3 · Linear
reference_bgl3_lr_mr5_modulof2_20261104-222120
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 | 1.5925 | 0.1754 | 0.1516 | 0.0009 | 143.0000 | -0.0475 | 1441.0000 | 0.1000 | -1.8637 | 0.2216 | 0.0000 | 0.0000 | -0.2431 | 0.0600 | -1.4548 | 0.2216 | 0.0200 | 0.0000 | -0.0626 | 0.0500 | -1.4348 | 0.2216 | 0.0300 | 0.0000 | -0.0552 | 0.0741 | -1.5371 | 0.2216 | 0.0000 | 0.0000 | -0.1023 |
| validation | 1.0513 | 0.0670 | 0.1281 | -0.0484 | 44.0000 | 0.4612 | 157.0000 | 0.0000 | -1.2317 | -0.2389 | 0.0000 | 0.0000 | -0.2429 | 0.0600 | -0.8382 | 0.5351 | 0.0600 | 0.0000 | 0.0645 | 0.0900 | -0.8052 | 0.5578 | 0.1400 | 0.0000 | 0.1060 | 0.0000 | -1.0353 | -0.2389 | 0.0000 | 0.0000 | -0.0921 |
| test | 1.2077 | -0.0501 | -0.0267 | -0.0280 | 23.0000 | -0.2165 | 334.0000 | 0.0000 | -2.9438 | -0.8034 | 0.0000 | 0.0000 | -1.3409 | 0.0000 | -1.5482 | -0.2065 | 0.0000 | 0.0000 | -0.3823 | 0.0300 | -1.3901 | 0.2595 | 0.0800 | 0.0000 | -0.2654 | 0.0000 | -2.7428 | -0.8034 | 0.0000 | 0.0000 | -1.1691 |
Loss per epoch
training
validation
Config
name: reference_bgl3_lr_mr5_modulof2 task: dms data: dataset: bgl3 encoding: one_hot,aa_index split_dir: null split_scheme: modulo 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