avgfp · Fully connected
reference_avgfp_fc_plm_modulof1_20261104-181112
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 | 0.5322 | 0.7742 | 0.7177 | 0.4160 | 1273.0000 | 0.0587 | 1525.0000 | 0.3000 | 3.6415 | 3.8587 | 0.0000 | 0.0000 | 0.6161 | 0.2600 | 3.6720 | 3.9912 | 0.0200 | 0.0000 | 0.6880 | 0.2900 | 3.6583 | 3.9912 | 0.0300 | 0.0000 | 0.7016 | 0.3034 | 3.6611 | 3.9912 | 0.0337 | 0.0000 | 0.7000 |
| validation | 0.4927 | 0.0649 | 0.0241 | -0.0599 | 135.0000 | 0.0737 | 629.0000 | 0.2000 | 3.1080 | 3.8501 | 0.0000 | 0.0000 | -0.4348 | 0.2000 | 3.3900 | 3.8630 | 0.1000 | 0.0000 | 0.0818 | 0.2000 | 3.3442 | 3.8780 | 0.1500 | 0.0000 | -0.0148 | 0.1250 | 2.9904 | 3.8501 | 0.0000 | 0.0000 | -0.6368 |
| test | 0.5417 | -0.0135 | -0.0038 | -0.0724 | 216.0000 | 0.1149 | 591.0000 | 0.4000 | 3.1978 | 3.8314 | 0.0000 | 0.0000 | -0.1806 | 0.1800 | 3.1759 | 3.8314 | 0.0400 | 0.0000 | -0.2595 | 0.2000 | 3.2107 | 3.9791 | 0.1100 | 0.0000 | -0.2129 | 0.3636 | 3.2180 | 3.8314 | 0.0000 | 0.0000 | -0.1523 |
Loss per epoch
training
validation
Config
name: reference_avgfp_fc_plm_modulof1 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: modulo split_fold: 1 model: name: fcn hidden: - 100 - 100 - 100 dropout: 0.2 train: epochs: 300 batch_size: 32 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7