#What batch size is appropriate for a 1 minute and 30 second dataset in ov2?
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Go for 4
So you get more steps per epoch
And therefore more training time
But better model overall
Epochs?
Just go for 500, every dataset length
ok
200-300 epochs for ov2
I recommend 500 so it's not undertrained
It will most likely overtrain at 300-400 epochs anyway, especially on batch 4
500 for default pretrain tho. I got overtrain sign at 200-300 epochs, or got optimal epoch at that range for ov2 with batch size 8.
either way, you kinda have the risk of undertraining at 500
its just a placeholder target that can be changed, its not what you should necessarily use, thats why i say 500