gb1 · Sequence CNN
reference_gb1_cnn_plm_contiguousf2_20261104-184439
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 | 0.2758 | 0.9601 | 0.9706 | 0.9160 | 40274.0000 | 0.6991 | 3595.0000 | 1.0000 | 1.2083 | 1.3472 | 0.0000 | 0.0000 | 0.8415 | 1.0000 | 1.1897 | 1.4526 | 0.0800 | 0.0000 | 0.8989 | 1.0000 | 1.1404 | 1.4526 | 0.2300 | 0.0000 | 0.9140 | 0.9984 | 0.8191 | 1.7213 | 0.4945 | 0.0000 | 0.9369 |
| validation | 7.6700 | -0.1520 | -0.1601 | -0.3985 | 2473.0000 | -0.1970 | 16431.0000 | 0.0000 | -3.2064 | -0.0238 | 0.0000 | 0.0000 | 0.0429 | 0.0000 | -3.1086 | -0.0147 | 0.0000 | 0.0000 | 0.0636 | 0.0200 | -3.2911 | 0.6057 | 0.0000 | 0.0000 | 0.0268 | 0.0650 | -3.4211 | 0.7233 | 0.0000 | 0.0000 | -0.0001 |
| test | 6.9295 | 0.2972 | 0.2983 | -0.2846 | 2092.0000 | 0.1173 | 8801.0000 | 0.2000 | -1.6397 | 1.2368 | 0.0000 | 0.0000 | 0.3688 | 0.3000 | -1.5811 | 1.3818 | 0.0000 | 0.0000 | 0.3897 | 0.2800 | -1.9064 | 1.4575 | 0.0000 | 0.0000 | 0.3359 | 0.2687 | -1.9553 | 1.4897 | 0.0498 | 0.0000 | 0.3342 |
Loss per epoch
training
validation
Config
name: reference_gb1_cnn_plm_contiguousf2
task: dms
data:
dataset: gb1
encoding: one_hot,aa_index,plm,plm_sum
split_dir: null
split_scheme: contiguous
split_fold: 2
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