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instead of division by amount of training completed when modifying data size for update weighting, also allowing col1 to be admin for testing admin control of dampener as well as train and val cutoff time for train (training and local model validation)
to train one epoch
Enabling partial epochs
to 50 and 250 respectively. Timeouts will still apply to stop early if it is taking too long. Amount of training completed will be computed off of these new maxes, i.e. training_completed of 1.0 will mean all of the 250 batches were trained. With this change we will want model updates to be counted according to local data size, therefore it is important that the training config set the train_completion_dampener at the value: 0.0.
…s related to his new initial model: order = t1 t2 flair t1c
…epochs"" This reverts commit 11fd6e7.
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