gb1 · Sequence CNN
reference_gb1_cnn_mr5_contiguousf2_20261105-014313
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 | 0.2680 | 0.9732 | 0.9808 | 0.9183 | 40023.0000 | 0.7850 | 1423.0000 | 1.0000 | 1.3058 | 1.4526 | 0.2000 | 0.0000 | 0.9453 | 1.0000 | 1.2084 | 1.4526 | 0.3200 | 0.0000 | 0.9539 | 1.0000 | 1.1736 | 1.4526 | 0.4700 | 0.0000 | 0.9605 | 0.9995 | 0.8549 | 1.6726 | 0.5760 | 0.0000 | 0.9590 |
| validation | 11.4732 | -0.4740 | -0.4337 | -1.0923 | 2471.0000 | -0.4438 | 19969.0000 | 0.0000 | -3.6257 | -0.0911 | 0.0000 | 0.0000 | -0.0408 | 0.0000 | -4.4699 | -0.0911 | 0.0000 | 0.0000 | -0.2135 | 0.0000 | -4.6233 | -0.0911 | 0.0000 | 0.0000 | -0.2481 | 0.0050 | -4.7323 | 0.2883 | 0.0000 | 0.0000 | -0.2761 |
| test | 10.9419 | -0.0212 | 0.0131 | -1.0291 | 2090.0000 | -0.0918 | 6938.0000 | 0.0000 | -4.8817 | -3.9615 | 0.0000 | 0.0000 | -0.2138 | 0.0000 | -5.0880 | -2.5505 | 0.0000 | 0.0000 | -0.2578 | 0.0000 | -5.0684 | -2.5505 | 0.0000 | 0.0000 | -0.2591 | 0.0000 | -4.9637 | -1.3358 | 0.0000 | 0.0000 | -0.2449 |
Loss per epoch
training
validation
Config
name: reference_gb1_cnn_mr5_contiguousf2
task: dms
data:
dataset: gb1
encoding: one_hot,aa_index
split_dir: null
split_scheme: contiguous
split_fold: 2
min_reads: 5
model:
name: cnn
conv:
- - 128
- 17
- - 128
- 17
- - 128
- 17
hidden:
- 100
dropout: 0.2
train:
epochs: 300
batch_size: 32
learning_rate: 0.0001
patience: 15
min_delta: 1.0e-05
seed: 7