avgfp · Fully connected
reference_avgfp_fc_plm_modulof3_20261105-035816
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 | 0.3742 | 0.8123 | 0.7447 | 0.5473 | 1547.0000 | 0.2136 | 413.0000 | 0.6000 | 3.7849 | 3.9735 | 0.0000 | 0.0000 | 0.7163 | 0.5000 | 3.7332 | 4.0042 | 0.0800 | 0.0000 | 0.7197 | 0.4300 | 3.6886 | 4.1136 | 0.0800 | 0.0000 | 0.6992 | 0.4299 | 3.6899 | 4.1136 | 0.0841 | 0.0000 | 0.7035 |
| validation | 0.5105 | -0.0189 | -0.0537 | -0.0181 | 152.0000 | -0.0011 | 497.0000 | 0.0000 | 2.1935 | 3.6345 | 0.0000 | 0.0000 | -1.8791 | 0.0800 | 2.8671 | 3.8229 | 0.0600 | 0.0000 | -0.9051 | 0.1400 | 3.0483 | 3.8289 | 0.1100 | 0.0000 | -0.5977 | 0.0000 | 2.1717 | 3.6345 | 0.0000 | 0.0000 | -1.8815 |
| test | 0.7359 | 0.0617 | -0.0657 | -0.0458 | 111.0000 | -0.1192 | 439.0000 | 0.0000 | 1.7758 | 3.5191 | 0.0000 | 0.0000 | -1.9679 | 0.0600 | 2.6544 | 3.8841 | 0.0200 | 0.0000 | -0.8502 | 0.1000 | 2.8913 | 3.8841 | 0.0900 | 0.0000 | -0.5064 | 0.0000 | 1.6625 | 3.3984 | 0.0000 | 0.0000 | -2.0659 |
Loss per epoch
training
validation
Config
name: reference_avgfp_fc_plm_modulof3 task: dms data: dataset: avgfp encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: modulo split_fold: 3 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