ube4b · Sequence CNN
reference_ube4b_cnn_plm_modulof3_20261105-040232
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 | 2.2525 | 0.6562 | 0.6043 | 0.4302 | 7842.0000 | 0.4911 | 147.0000 | 1.0000 | 5.3962 | 7.1065 | 0.2000 | 0.0000 | 0.7474 | 1.0000 | 4.6034 | 7.1065 | 0.1400 | 0.0000 | 0.7665 | 1.0000 | 4.4615 | 8.0483 | 0.2300 | 0.0000 | 0.8021 | 1.0000 | 3.9149 | 9.1537 | 0.4524 | 0.0000 | 0.8437 |
| validation | 3.0556 | 0.3654 | 0.3933 | 0.1172 | 318.0000 | -0.1646 | 1433.0000 | 0.0000 | -1.0791 | -0.1283 | 0.0000 | 0.0000 | 0.0932 | 0.1800 | -1.0666 | 1.6168 | 0.0200 | 0.0000 | 0.1302 | 0.3000 | -0.8071 | 5.6421 | 0.0500 | 0.0000 | 0.2270 | 0.0556 | -1.0795 | 0.0733 | 0.0000 | 0.0000 | 0.1041 |
| test | 2.8001 | 0.2964 | 0.3057 | 0.0754 | 418.0000 | -0.0716 | 1656.0000 | 0.2000 | -2.6508 | 0.9279 | 0.0000 | 0.0000 | -0.2884 | 0.2400 | -1.3224 | 2.8280 | 0.0200 | 0.0000 | -0.0064 | 0.2600 | -1.1772 | 2.8280 | 0.0500 | 0.0000 | 0.0392 | 0.2222 | -2.1596 | 0.9279 | 0.0000 | 0.0000 | -0.1983 |
Loss per epoch
training
validation
Config
name: reference_ube4b_cnn_plm_modulof3
task: dms
data:
dataset: ube4b
encoding: one_hot,aa_index,plm,plm_sum
split_dir: null
split_scheme: modulo
split_fold: 3
model:
name: cnn
conv:
- - 128
- 3
- - 128
- 3
- - 128
- 3
- - 128
- 3
- - 128
- 3
hidden:
- 100
dropout: 0.2
train:
epochs: 300
batch_size: 128
learning_rate: 0.0001
patience: 15
min_delta: 1.0e-05
seed: 7