avgfp · Sequence CNN
reference_avgfp_cnn_plm_modulof4_20261105-042209
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 | 0.7331 | 0.5962 | 0.5728 | 0.1886 | 1414.0000 | 0.0327 | 2008.0000 | 0.4000 | 3.6792 | 3.8961 | 0.0000 | 0.0000 | 0.6370 | 0.2600 | 3.6635 | 3.8961 | 0.0000 | 0.0000 | 0.6749 | 0.3100 | 3.6782 | 4.1079 | 0.0500 | 0.0000 | 0.7207 | 0.3028 | 3.6685 | 4.1079 | 0.0459 | 0.0000 | 0.7146 |
| validation | 0.5348 | 0.2691 | 0.2320 | 0.0588 | 146.0000 | -0.1937 | 452.0000 | 0.2000 | 3.5649 | 3.8197 | 0.0000 | 0.0000 | 0.4008 | 0.1800 | 3.5586 | 3.9011 | 0.0400 | 0.0000 | 0.4647 | 0.2200 | 3.4812 | 3.9011 | 0.1200 | 0.0000 | 0.3472 | 0.1429 | 3.5681 | 3.8197 | 0.0000 | 0.0000 | 0.3939 |
| test | 0.4932 | 0.1406 | 0.1965 | 0.0165 | 152.0000 | -0.0180 | 124.0000 | 0.1000 | 3.5775 | 3.7398 | 0.0000 | 0.0000 | 0.4087 | 0.2400 | 3.5858 | 3.8918 | 0.1000 | 0.0000 | 0.4993 | 0.2200 | 3.5358 | 3.9015 | 0.1500 | 0.0000 | 0.4358 | 0.1250 | 3.6095 | 3.7398 | 0.0000 | 0.0000 | 0.4534 |
Loss per epoch
training
validation
Config
name: reference_avgfp_cnn_plm_modulof4
task: dms
data:
dataset: avgfp
encoding: one_hot,aa_index,plm,plm_sum
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