gb1 · Linear
reference_gb1_lr_contiguousf4_20261104-170751
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 | 0.9281 | 0.9153 | 0.9441 | 0.8368 | 30951.0000 | 0.8055 | 134.0000 | 1.0000 | 1.6294 | 1.9240 | 0.0000 | 0.0000 | 0.8915 | 1.0000 | 1.6090 | 2.0942 | 0.1000 | 0.0000 | 0.9291 | 1.0000 | 1.5861 | 2.0942 | 0.2100 | 0.0000 | 0.9428 | 0.9990 | 1.3525 | 2.5295 | 0.7277 | 0.0000 | 0.9812 |
| validation | 3.1002 | 0.1164 | 0.1691 | -0.0099 | 1866.0000 | -0.0413 | 1848.0000 | 0.0000 | -4.5601 | -2.7680 | 0.0000 | 0.0000 | -0.8366 | 0.0200 | -3.6940 | 0.0431 | 0.0000 | 0.0000 | -0.5995 | 0.0500 | -3.1605 | 0.4613 | 0.0000 | 0.0000 | -0.4217 | 0.0448 | -3.2036 | 0.4720 | 0.0000 | 0.0000 | -0.4509 |
| test | 5.3872 | -0.2547 | -0.2000 | -0.2147 | 5856.0000 | 0.0661 | 7868.0000 | 0.2000 | -4.3334 | 0.6247 | 0.0000 | 0.0000 | -0.9536 | 0.1400 | -3.6622 | 0.6247 | 0.0000 | 0.0000 | -0.7542 | 0.0900 | -3.5255 | 0.6247 | 0.0000 | 0.0000 | -0.7221 | 0.1443 | -3.2316 | 0.7195 | 0.0000 | 0.0000 | -0.6344 |
Loss per epoch
training
validation
Config
name: reference_gb1_lr_contiguousf4 task: dms data: dataset: gb1 encoding: one_hot,aa_index split_dir: null split_scheme: contiguous 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