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@ -15,10 +15,10 @@ job_plugin = studio.installed_plugins["jobs"] |
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# do a sweep over learning rates |
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# Define the ranges or sets of values for each hyperparameter |
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alpha_values = [0.1, 0.3, 0.5, 0.7, 0.9] |
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learning_rate_values = [1e-6, 1e-5, 1e-4, 1e-3, 1e-2] |
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batch_size_values = [32, 64, 128] |
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max_epochs_values = [1000] |
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alpha_values = [0.1, 0.25, 0.5, 0.7, 0.9] |
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learning_rate_values = [1e-3, 1e-4, 1e-5] |
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batch_size_values = [128] |
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max_epochs_values = [5000] |
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# Generate all possible combinations of hyperparameters |
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all_params = [ |
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@ -36,5 +36,7 @@ search_params = sample(all_params, NUM_JOBS) |
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for idx, params in enumerate(search_params): |
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a, lr, bs, me = params |
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cmd = f"cd ~/colors && python main.py --alpha {a} --lr {lr} --bs {bs} --max_epochs {me}" |
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job_name = f"color_{bs}_{a}_{lr:2.2e}" |
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job_plugin.run(cmd, machine=Machine.T4, name=job_name) |
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job_name = f"color2_{bs}_{a}_{lr:2.2e}" |
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# job_plugin.run(cmd, machine=Machine.T4, name=job_name) |
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print(f"Running {params}: {cmd}") |
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os.system(cmd) |
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