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| author | David Doan <daviddoan@davids-mbp-3.devices.brown.edu> | 2022-05-07 18:55:47 -0400 |
|---|---|---|
| committer | David Doan <daviddoan@davids-mbp-3.devices.brown.edu> | 2022-05-07 18:55:47 -0400 |
| commit | 79e999da9c3eff40006267b53bab0193242322df (patch) | |
| tree | 3456585b93aa57b5010c3ecee5ff785f547be753 /hyperparameters.py | |
| parent | 7a03723ffb9ac7613f3c5537a4d5c7cb9a4a3f3a (diff) | |
changes
Diffstat (limited to 'hyperparameters.py')
| -rw-r--r-- | hyperparameters.py | 8 |
1 files changed, 5 insertions, 3 deletions
diff --git a/hyperparameters.py b/hyperparameters.py index 75528742..ac2beda8 100644 --- a/hyperparameters.py +++ b/hyperparameters.py @@ -9,7 +9,7 @@ Number of epochs. If you experiment with more complex networks you might need to increase this. Likewise if you add regularization that slows training. """ -num_epochs = 500 +num_epochs = 200 """ A critical parameter that can dramatically affect whether training @@ -20,6 +20,8 @@ learning_rate = 1e2 momentum = 0.01 -alpha = 1 +alpha = .05 +beta = 5 +# alpha = 1e-5 -beta = 100 +# beta = 1e-2 |