avgfp · Sequence CNN
reference_avgfp_cnn_contiguousf4_20261104-170331
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 | 0.4052 | 0.8397 | 0.7511 | 0.5560 | 1613.0000 | 0.1667 | 2647.0000 | 0.5000 | 3.7257 | 4.0378 | 0.1000 | 0.0000 | 0.6796 | 0.4800 | 3.7142 | 4.0378 | 0.0600 | 0.0000 | 0.7156 | 0.4200 | 3.6929 | 4.0378 | 0.0600 | 0.0000 | 0.7228 | 0.4407 | 3.6928 | 4.0378 | 0.0593 | 0.0000 | 0.7296 |
| validation | 0.7529 | -0.4744 | -0.3227 | -0.0601 | 109.0000 | 0.1832 | 545.0000 | 0.0000 | 1.3212 | 1.4174 | 0.0000 | 0.0000 | -2.4493 | 0.0800 | 2.1672 | 3.7942 | 0.0400 | 0.0000 | -1.5500 | 0.1400 | 2.4673 | 3.9411 | 0.1400 | 0.0000 | -1.1647 | 0.0000 | 1.3286 | 1.4174 | 0.0000 | 0.0000 | -2.3800 |
| test | 0.4866 | -0.2902 | -0.2911 | -0.1880 | 156.0000 | -0.2133 | 585.0000 | 0.1000 | 2.8911 | 3.7515 | 0.0000 | 0.0000 | -1.0405 | 0.0800 | 2.9835 | 3.7706 | 0.0000 | 0.0000 | -0.9658 | 0.1000 | 3.0983 | 3.8182 | 0.0800 | 0.0000 | -0.7568 | 0.1250 | 3.0124 | 3.7515 | 0.0000 | 0.0000 | -0.7820 |
Loss per epoch
training
validation
Config
name: reference_avgfp_cnn_contiguousf4
task: dms
data:
dataset: avgfp
encoding: one_hot,aa_index
split_dir: null
split_scheme: contiguous
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