avgfp · Linear
reference_avgfp_lr_modulof1_20261104-153307
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 | 0.4667 | 0.7613 | 0.6866 | 0.4879 | 1273.0000 | 0.1070 | 28.0000 | 0.3000 | 3.5918 | 3.8331 | 0.0000 | 0.5681 | 0.3400 | 3.6542 | 4.0956 | 0.0200 | 0.6697 | 0.3300 | 3.6456 | 4.0956 | 0.0300 | 0.6880 | 0.3483 | 3.6543 | 4.0956 | 0.0337 | 0.6927 | ||||
| validation | 0.5400 | -0.0895 | -0.1003 | -0.1618 | 135.0000 | 0.0725 | 787.0000 | 0.1000 | 3.0475 | 3.7847 | 0.0000 | 0.0000 | -0.5432 | 0.1400 | 3.1797 | 3.9210 | 0.0800 | 0.0000 | -0.3556 | 0.1600 | 3.2642 | 3.9210 | 0.1200 | 0.0000 | -0.1954 | 0.0000 | 2.9169 | 3.6147 | 0.0000 | 0.0000 | -0.7665 |
| test | 0.6327 | -0.2074 | -0.1454 | -0.2523 | 216.0000 | 0.0627 | 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 | 2.8571 | 3.9347 | 0.1300 | 0.0000 | -0.9096 | 0.0909 | 1.8106 | 3.8236 | 0.0000 | 0.0000 | -2.2797 |
Loss per epoch
training
validation
Config
name: reference_avgfp_lr_modulof1 task: dms data: dataset: avgfp encoding: one_hot,aa_index split_dir: null split_scheme: modulo split_fold: 1 model: name: lr train: epochs: 300 batch_size: 128 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7