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We need more training epochs with more augmentations
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dzenanz committed Apr 14, 2022
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2 changes: 1 addition & 1 deletion miqa/learning/nn_training.py
Original file line number Diff line number Diff line change
Expand Up @@ -644,7 +644,7 @@ def process_folds(folds_prefix, validation_fold, evaluate_only, fold_count):

# establish minimum number of optimization steps and epochs
val_count = max(1, int(600 / df.shape[0]))
epoch_count = max(25, int(30000 / df.shape[0]))
epoch_count = max(40, int(30000 / df.shape[0]))
epoch_count = math.ceil(epoch_count / val_count) * val_count

count_train = df.shape[0] - vf.shape[0]
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