gb1 · Sequence CNN
reference_gb1_cnn_mr5_modulof2_20261105-013600
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 | 0.2283 | 0.9814 | 0.9775 | 0.9583 | 34694.0000 | 0.8677 | 6.0000 | 1.0000 | 1.5593 | 1.8220 | 0.2000 | 0.0000 | 0.9659 | 1.0000 | 1.5212 | 1.8220 | 0.5000 | 0.0000 | 0.9820 | 1.0000 | 1.4700 | 1.8220 | 0.5800 | 0.0000 | 0.9827 | 0.9995 | 1.1237 | 1.8220 | 0.7433 | 0.0000 | 0.9870 |
| validation | 5.2223 | -0.0431 | -0.1213 | -0.1915 | 4674.0000 | -0.4390 | 17412.0000 | 0.0000 | -1.7077 | -0.2872 | 0.0000 | 0.0000 | 0.0532 | 0.0200 | -1.8356 | 0.2257 | 0.0000 | 0.0000 | 0.0219 | 0.0400 | -1.8022 | 0.2257 | 0.0000 | 0.0000 | 0.0315 | 0.0400 | -1.7677 | 0.2466 | 0.0000 | 0.0000 | 0.0422 |
| test | 9.6407 | -0.4174 | -0.4299 | -1.1716 | 1542.0000 | 0.1182 | 16062.0000 | 0.0000 | -5.0325 | -3.8676 | 0.0000 | 0.0000 | -0.6070 | 0.0000 | -5.2050 | -1.8466 | 0.0000 | 0.0000 | -0.6806 | 0.0000 | -5.0468 | -0.9280 | 0.0000 | 0.0000 | -0.6484 | 0.0000 | -4.8020 | -0.9280 | 0.0000 | 0.0000 | -0.5917 |
Loss per epoch
training
validation
Config
name: reference_gb1_cnn_mr5_modulof2
task: dms
data:
dataset: gb1
encoding: one_hot,aa_index
split_dir: null
split_scheme: modulo
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