avgfp · Sequence CNN
reference_avgfp_cnn_plm_modulof1_20261104-181058
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 | 0.2014 | 0.8946 | 0.8030 | 0.7790 | 1273.0000 | 0.1029 | 981.0000 | 0.7000 | 3.7954 | 3.9212 | 0.0000 | 0.0000 | 0.7647 | 0.6200 | 3.7487 | 3.9212 | 0.0200 | 0.0000 | 0.7670 | 0.4700 | 3.7148 | 3.9212 | 0.0500 | 0.0000 | 0.7620 | 0.5056 | 3.7241 | 3.9212 | 0.0562 | 0.0000 | 0.7670 |
| validation | 0.4103 | 0.3694 | 0.2490 | 0.1173 | 135.0000 | 0.0936 | 699.0000 | 0.2000 | 3.4002 | 3.7652 | 0.0000 | 0.0000 | 0.0887 | 0.1600 | 3.3172 | 3.9288 | 0.0400 | 0.0000 | -0.0696 | 0.1900 | 3.3948 | 3.9288 | 0.1500 | 0.0000 | 0.0995 | 0.1250 | 3.3421 | 3.7652 | 0.0000 | 0.0000 | -0.0152 |
| test | 0.5031 | 0.1698 | 0.2371 | 0.0042 | 216.0000 | 0.1453 | 114.0000 | 0.2000 | 3.6108 | 3.7851 | 0.0000 | 0.0000 | 0.4359 | 0.2000 | 3.3769 | 3.9333 | 0.0400 | 0.0000 | 0.1054 | 0.2600 | 3.4487 | 3.9563 | 0.1600 | 0.0000 | 0.2560 | 0.1818 | 3.6046 | 3.7851 | 0.0000 | 0.0000 | 0.4320 |
Loss per epoch
training
validation
Config
name: reference_avgfp_cnn_plm_modulof1
task: dms
data:
dataset: avgfp
encoding: one_hot,aa_index,plm,plm_sum
split_dir: null
split_scheme: modulo
split_fold: 1
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