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bigger alpha needed

new-sep-loss
Michael Pilosov 10 months ago
parent
commit
e9532cff6a
  1. 2
      main.py
  2. 2
      out/index.html
  3. 2
      search.py

2
main.py

@ -47,7 +47,7 @@ if __name__ == "__main__":
early_stop_callback = EarlyStopping( early_stop_callback = EarlyStopping(
monitor="hp_metric", # Metric to monitor monitor="hp_metric", # Metric to monitor
min_delta=1e-5, # Minimum change in the monitored quantity to qualify as an improvement min_delta=1e-5, # Minimum change in the monitored quantity to qualify as an improvement
patience=12, # Number of epochs with no improvement after which training will be stopped patience=24, # Number of epochs with no improvement after which training will be stopped
mode="min", # Mode can be either 'min' for minimizing the monitored quantity or 'max' for maximizing it. mode="min", # Mode can be either 'min' for minimizing the monitored quantity or 'max' for maximizing it.
verbose=True, verbose=True,
) )

2
out/index.html

@ -53,7 +53,7 @@
<body> <body>
<header> <header>
<h1>Image Gallery</h1> <!-- <h1>Image Gallery</h1> -->
</header> </header>
<main> <main>
<div id="gallery"></div> <div id="gallery"></div>

2
search.py

@ -18,7 +18,7 @@ job_plugin = studio.installed_plugins["jobs"]
# do a sweep over learning rates # do a sweep over learning rates
# Define the ranges or sets of values for each hyperparameter # Define the ranges or sets of values for each hyperparameter
alpha_values = list(np.round(np.linspace(0, 4, 41), 4)) alpha_values = list(np.round(np.linspace(2, 6, 41), 4))
# learning_rate_values = list(np.round(np.logspace(-5, -3, 41), 5)) # learning_rate_values = list(np.round(np.logspace(-5, -3, 41), 5))
learning_rate_values = [5e-4] learning_rate_values = [5e-4]
batch_size_values = [64, 128] batch_size_values = [64, 128]

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