Trouble reproducing results from PL 1.5.7 in PL 1.6.0

[ssharpe42]

I am trying to reproduce results (for a publication) for a simple dense NN on a CPU. Training the model in PL 1.5.7 through 1.5.10 produce the same results, however 1.6.0 produces different results.

Could this be due to the "current epoch/global step boundary" change in 1.6.0?

Val loss on the first epoch is different and the step is off by 1. Any ideas on how to alter training to reproduce across versions?

2022-05-24 14:19:42,345 - pytorch_lightning.utilities.rank_zero - INFO - Epoch 0, global step 16: 'val_loss' reached 0.69475 (best 0.69475), saving model to 

2022-05-24 14:21:36,574 - pytorch_lightning.utilities.distributed - INFO - Epoch 0, global step 15: val_loss reached 0.68147 (best 0.68147), saving model to 

Here is my trainer config below.

trainer = Trainer(
            deterministic=True,
            max_epochs=100,
            callbacks=[
                EarlyStopping(monitor="val_loss", patience=5),
                ModelCheckpoint(
                    monitor="val_loss",
                    dirpath=path,
                    filename= "checkpoint",
                    save_top_k=1,
                    verbose=True,
                    mode="min",
                ),
            ],
        )