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Update model test configs
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@@ -88,7 +88,7 @@
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// OPTIMIZER
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"epochs": 1, // total number of epochs to train.
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"clip_grad": 1.0, // Generator gradient clipping threshold. Apply gradient clipping if > 0
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"grad_clip": 1.0, // Generator gradient clipping threshold. Apply gradient clipping if > 0
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"lr_scheduler": "MultiStepLR", // one of the schedulers from https://pytorch.org/docs/stable/optim.html#how-to-adjust-learning-rate
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"lr_scheduler_params": {
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"gamma": 0.5,
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@@ -107,7 +107,7 @@
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// DATA LOADING
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"num_loader_workers": 0, // number of training data loader processes. Don't set it too big. 4-8 are good values.
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"num_val_loader_workers": 0, // number of evaluation data loader processes.
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"num_eval_loader_workers": 0, // number of evaluation data loader processes.
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"eval_split_size": 4,
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// PATHS
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