avgfp · Sequence CNN
reference_avgfp_cnn_plm_contiguousf3_20261105-040405
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 | 0.6526 | 0.7027 | 0.7065 | 0.3708 | 805.0000 | 0.0469 | 529.0000 | 0.1000 | 3.6228 | 3.8545 | 0.0000 | 0.0000 | 0.6608 | 0.2400 | 3.6464 | 3.8562 | 0.0000 | 0.0000 | 0.7279 | 0.3000 | 3.6576 | 3.9550 | 0.0200 | 0.0000 | 0.7656 | 0.2619 | 3.6477 | 3.9550 | 0.0119 | 0.0000 | 0.7494 |
| validation | 0.4152 | 0.0803 | -0.0306 | -0.0139 | 156.0000 | -0.1199 | 687.0000 | 0.1000 | 2.7764 | 3.8139 | 0.0000 | 0.0000 | -1.2743 | 0.0400 | 3.0027 | 3.8139 | 0.0200 | 0.0000 | -0.9216 | 0.1200 | 3.1694 | 3.8139 | 0.0500 | 0.0000 | -0.5793 | 0.1250 | 2.6171 | 3.8139 | 0.0000 | 0.0000 | -1.5769 |
| test | 0.2890 | 0.0166 | 0.0290 | -0.2206 | 366.0000 | -0.0018 | 128.0000 | 0.4000 | 3.6487 | 3.8236 | 0.0000 | 0.0000 | 0.2349 | 0.1800 | 3.3845 | 3.8954 | 0.0200 | 0.0000 | -0.3506 | 0.2200 | 3.4439 | 4.0306 | 0.0500 | 0.0000 | -0.2298 | 0.3077 | 3.4503 | 3.8236 | 0.0000 | 0.0000 | -0.1484 |
Loss per epoch
training
validation
Config
name: reference_avgfp_cnn_plm_contiguousf3
task: dms
data:
dataset: avgfp
encoding: one_hot,aa_index,plm,plm_sum
split_dir: null
split_scheme: contiguous
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: 64
learning_rate: 0.001
patience: 15
min_delta: 1.0e-05
seed: 7