avgfp · Sequence CNN
reference_avgfp_cnn_modulof4_20261104-165536
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 | 0.1901 | 0.9291 | 0.8353 | 0.7896 | 1414.0000 | 0.2417 | 1789.0000 | 0.5000 | 3.7471 | 3.9081 | 0.0000 | 0.0000 | 0.6999 | 0.6800 | 3.7769 | 4.0860 | 0.0600 | 0.0000 | 0.7891 | 0.6600 | 3.7719 | 4.1079 | 0.1300 | 0.0000 | 0.8193 | 0.6514 | 3.7703 | 4.1079 | 0.1468 | 0.0000 | 0.8224 |
| validation | 0.5870 | 0.0248 | -0.0321 | -0.0330 | 146.0000 | -0.1488 | 618.0000 | 0.1000 | 2.6006 | 3.7312 | 0.0000 | 0.0000 | -1.1148 | 0.0800 | 2.7757 | 3.7452 | 0.0000 | 0.0000 | -0.9983 | 0.1200 | 3.1011 | 3.7794 | 0.0400 | 0.0000 | -0.4235 | 0.1429 | 2.4972 | 3.7312 | 0.0000 | 0.0000 | -1.2399 |
| test | 0.5393 | 0.0325 | 0.0977 | -0.0755 | 152.0000 | 0.0735 | 284.0000 | 0.0000 | 1.7869 | 3.3310 | 0.0000 | 0.0000 | -2.5512 | 0.1000 | 3.0307 | 3.8704 | 0.0600 | 0.0000 | -0.5855 | 0.1600 | 3.2145 | 3.8704 | 0.1100 | 0.0000 | -0.2455 | 0.0000 | 1.6547 | 3.3150 | 0.0000 | 0.0000 | -2.7212 |
Loss per epoch
training
validation
Config
name: reference_avgfp_cnn_modulof4
task: dms
data:
dataset: avgfp
encoding: one_hot,aa_index
split_dir: null
split_scheme: modulo
split_fold: 4
model:
name: cnn
conv:
- - 128
- 3
- - 128
- 3
- - 128
- 3
- - 128
- 3
- - 128
- 3
hidden:
- 100
dropout: 0.2
train:
epochs: 300
batch_size: 64
learning_rate: 0.001
patience: 15
min_delta: 1.0e-05
seed: 7