avgfp · Linear
reference_avgfp_lr_modulof3_20261104-160953
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 | 0.8385 | 0.1496 | 0.1236 | -0.0144 | 1547.0000 | 0.0586 | 2263.0000 | 0.0000 | 2.7559 | 3.6891 | 0.0000 | -0.3258 | 0.0200 | 2.6066 | 3.7468 | 0.0000 | -0.5171 | 0.0600 | 2.7125 | 3.8343 | 0.0000 | -0.4178 | 0.0748 | 2.7719 | 3.8343 | 0.0000 | -0.3513 | ||||
| validation | 0.6033 | -0.0939 | -0.0403 | -0.2032 | 152.0000 | 0.0375 | 455.0000 | 0.5000 | 3.0624 | 3.8956 | 0.1000 | 0.0000 | -0.4428 | 0.2400 | 3.0544 | 3.8956 | 0.1000 | 0.0000 | -0.5390 | 0.2300 | 3.0959 | 3.8956 | 0.1800 | 0.0000 | -0.4969 | 0.5000 | 3.1477 | 3.8956 | 0.1250 | 0.0000 | -0.2965 |
| test | 0.8293 | -0.1238 | -0.0284 | -0.1785 | 111.0000 | 0.0568 | 479.0000 | 0.3000 | 2.1234 | 3.8566 | 0.1000 | 0.0000 | -1.4846 | 0.1600 | 2.3709 | 3.8566 | 0.1000 | 0.0000 | -1.2995 | 0.1700 | 2.8189 | 3.8921 | 0.1600 | 0.0000 | -0.6287 | 0.2857 | 2.0720 | 3.8566 | 0.0000 | 0.0000 | -1.5123 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_modulof3 task: dms data: dataset: avgfp encoding: one_hot,aa_index split_dir: null split_scheme: modulo split_fold: 3 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7