Well, “good” in train and val loss is not absolute.
Good val and train loss depends on the deviation from the initial loss as well as the factor influencing the decrease.
so just because its 0. something doesn’t mean its good. Your 0.29 could actually be 0.299999; which is a large number compared to if you had a loss like 0.00009 right?.
You need to iteratively train the model until you start to see promising results. so more training please!
There are other factors that could also be considered but this could be a good starting point
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