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added keep_best and keep_after to test configs.
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@@ -101,6 +101,8 @@
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"print_eval": false, // If True, it prints loss values for each step in eval run.
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"save_step": 10000, // Number of training steps expected to plot training stats on TB and save model checkpoints.
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"checkpoint": true, // If true, it saves checkpoints per "save_step"
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"keep_best": true, // If true, keeps all best_models after keep_after steps
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"keep_after": 10000, // Global step after which to keep best models if keep_best is true
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"tb_model_param_stats": true, // true, plots param stats per layer on tensorboard. Might be memory consuming, but good for debugging.
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// DATA LOADING
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