avgfp · Sequence CNN
reference_avgfp_cnn_contiguousf2_20261104-163820
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 | 0.4961 | 0.7913 | 0.7835 | 0.5069 | 835.0000 | 0.0998 | 283.0000 | 0.5000 | 3.5725 | 3.8446 | 0.0000 | 0.0000 | 0.6291 | 0.3600 | 3.6320 | 3.8903 | 0.0000 | 0.0000 | 0.7207 | 0.3200 | 3.6204 | 3.9340 | 0.0600 | 0.0000 | 0.7327 | 0.3194 | 3.6258 | 3.9031 | 0.0417 | 0.0000 | 0.7263 |
| validation | 0.2735 | -0.1083 | -0.0980 | -0.1554 | 366.0000 | -0.0037 | 1226.0000 | 0.3000 | 3.1841 | 3.8000 | 0.0000 | 0.0000 | -0.6498 | 0.2200 | 3.3119 | 4.0378 | 0.0400 | 0.0000 | -0.5313 | 0.1600 | 3.2516 | 4.0378 | 0.0400 | 0.0000 | -0.7729 | 0.3077 | 3.2550 | 3.8285 | 0.0000 | 0.0000 | -0.5344 |
| test | 0.6595 | -0.3452 | -0.2098 | -0.3212 | 142.0000 | 0.0536 | 959.0000 | 0.0000 | 1.5319 | 2.1413 | 0.0000 | 0.0000 | -2.9984 | 0.0200 | 2.4870 | 3.7617 | 0.0000 | 0.0000 | -1.6299 | 0.0600 | 2.6314 | 3.8359 | 0.0300 | 0.0000 | -1.4596 | 0.0000 | 1.5109 | 2.1413 | 0.0000 | 0.0000 | -3.0608 |
Loss per epoch
training
validation
Config
name: reference_avgfp_cnn_contiguousf2
task: dms
data:
dataset: avgfp
encoding: one_hot,aa_index
split_dir: null
split_scheme: contiguous
split_fold: 2
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