avgfp · Sequence CNN
reference_avgfp_cnn_plm_contiguousf2_20261104-184333
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 | 0.1491 | 0.9315 | 0.8608 | 0.8518 | 835.0000 | 0.0873 | 34.0000 | 0.8000 | 3.7557 | 3.9193 | 0.0000 | 0.0000 | 0.7898 | 0.5400 | 3.7285 | 4.0311 | 0.0800 | 0.0000 | 0.8102 | 0.5400 | 3.7240 | 4.0311 | 0.1300 | 0.0000 | 0.8320 | 0.5139 | 3.7272 | 4.0311 | 0.1250 | 0.0000 | 0.8219 |
| validation | 0.2713 | -0.1084 | -0.0979 | -0.1458 | 366.0000 | 0.0916 | 620.0000 | 0.0000 | 3.5302 | 3.7082 | 0.0000 | 0.0000 | 0.0093 | 0.2000 | 3.5040 | 3.8863 | 0.0600 | 0.0000 | -0.0532 | 0.2100 | 3.4295 | 3.8863 | 0.0500 | 0.0000 | -0.2705 | 0.0000 | 3.5637 | 3.7108 | 0.0000 | 0.0000 | 0.0759 |
| test | 0.6449 | -0.2874 | -0.1758 | -0.2921 | 142.0000 | 0.0566 | 205.0000 | 0.0000 | 1.6806 | 3.2594 | 0.0000 | 0.0000 | -2.7498 | 0.0400 | 2.3959 | 3.7617 | 0.0000 | 0.0000 | -1.8070 | 0.0300 | 2.5729 | 3.7617 | 0.0100 | 0.0000 | -1.5827 | 0.0000 | 1.8550 | 3.5990 | 0.0000 | 0.0000 | -2.4803 |
Loss per epoch
training
validation
Config
name: reference_avgfp_cnn_plm_contiguousf2
task: dms
data:
dataset: avgfp
encoding: one_hot,aa_index,plm,plm_sum
split_dir: null
split_scheme: contiguous
split_fold: 2
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