bgl3 · Fully connected
reference_bgl3_fc_plm_modulof4_20261105-042248
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 | 1.7096 | 0.3557 | 0.2997 | 0.0945 | 3798.0000 | -0.0304 | 2746.0000 | 0.6000 | 0.3914 | 1.5945 | 0.0000 | 0.0000 | 0.2193 | 0.6200 | 0.4616 | 2.3136 | 0.0000 | 0.0000 | 0.2763 | 0.5400 | 0.2397 | 2.3136 | 0.0200 | 0.0000 | 0.2150 | 0.5234 | 0.1940 | 2.3136 | 0.0280 | 0.0000 | 0.2000 |
| validation | 1.3494 | 0.3241 | 0.3000 | 0.1042 | 338.0000 | -0.2503 | 1043.0000 | 0.4000 | -0.8894 | 0.2173 | 0.0000 | 0.0000 | -0.1182 | 0.2000 | -0.6759 | 1.9459 | 0.0200 | 0.0000 | -0.0468 | 0.2900 | -0.4356 | 1.9459 | 0.0400 | 0.0000 | 0.0611 | 0.3077 | -0.7809 | 0.2173 | 0.0000 | 0.0000 | -0.0800 |
| test | 1.2692 | 0.2983 | 0.2746 | 0.0624 | 437.0000 | -0.1161 | 1193.0000 | 0.3000 | -0.1290 | 1.0480 | 0.0000 | 0.0000 | 0.0931 | 0.2600 | -0.1579 | 1.9459 | 0.0400 | 0.0000 | 0.0997 | 0.3200 | -0.1014 | 2.2054 | 0.0900 | 0.0000 | 0.1366 | 0.2500 | -0.2248 | 1.0480 | 0.0000 | 0.0000 | 0.0627 |
Loss per epoch
training
validation
Config
name: reference_bgl3_fc_plm_modulof4 task: dms data: dataset: bgl3 encoding: one_hot,aa_index,plm,plm_sum split_dir: null split_scheme: modulo split_fold: 4 model: name: fcn hidden: - 100 - 100 dropout: 0.2 train: epochs: 300 batch_size: 32 learning_rate: 0.0001 patience: 15 min_delta: 1.0e-05 seed: 7