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                                            Panagiotis Nezis

Word2vec: loss tally maxes at 134217728.0 due to float32 limited-precision

@gojomo setting `model.running_training_loss to 0.0` at an epoch's end seems to affect the training. Sample callback: ```python class LossReportCallback(CallbackAny2Vec): def __init__(self, reset_loss=False): self.epoch = 1 self.previous_cumulative_loss = 0 self.reset_loss =...