avgfp · Linear
reference_avgfp_lr_modulof0_20261104-144041
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 | captured_at_10 | hit_rate_at_50 | mean_at_50 | max_at_50 | precision_at_50 | captured_at_50 | hit_rate_at_100 | mean_at_100 | max_at_100 | precision_at_100 | captured_at_100 | hit_rate_at_1pct | mean_at_1pct | max_at_1pct | precision_at_1pct | captured_at_1pct | ||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| train | 0.4672 | 0.7456 | 0.6636 | 0.4749 | 1210.0000 | 0.1386 | 972.0000 | 0.3000 | 3.6067 | 3.8191 | 0.0000 | 0.5695 | 0.3200 | 3.5378 | 4.0314 | 0.0200 | 0.5463 | 0.3300 | 3.5894 | 4.0956 | 0.0600 | 0.6267 | 0.3191 | 3.5830 | 4.0956 | 0.0532 | 0.6173 | ||||
| validation | 0.6318 | -0.2025 | -0.1410 | -0.2507 | 216.0000 | 0.0625 | 1103.0000 | 0.1000 | 1.8256 | 3.8236 | 0.0000 | 0.0000 | -2.2289 | 0.1800 | 2.7947 | 3.9347 | 0.0800 | 0.0000 | -0.9517 | 0.1600 | 2.8437 | 3.9347 | 0.1300 | 0.0000 | -0.9359 | 0.0909 | 1.8106 | 3.8236 | 0.0000 | 0.0000 | -2.2797 |
| test | 0.6635 | -0.0915 | -0.0803 | -0.1675 | 146.0000 | 0.0923 | 197.0000 | 0.2000 | 3.1072 | 3.7468 | 0.0000 | 0.0000 | -0.3186 | 0.1200 | 3.0917 | 3.8563 | 0.0400 | 0.0000 | -0.4077 | 0.1600 | 3.1008 | 3.9052 | 0.1200 | 0.0000 | -0.4239 | 0.1429 | 3.2075 | 3.7468 | 0.0000 | 0.0000 | -0.1563 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_modulof0 task: dms data: dataset: avgfp encoding: one_hot,aa_index split_dir: null split_scheme: modulo split_fold: 0 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7