I am currently trying to train a seq2seq attn model for time series ( stock prices) forecasting. I am using a customized version of this model from fastai part 2.
also created a custom ItemList and DataBunch for Time series.
using the RNNLearner from fastai.text to create the learner and train.
The problem the model looks like it is heavily overfitting.
I have used self.out_drop = nn.Dropout(0.8) from the notebook from part 2. to get this results in the screenshot.
How can i regularize the model more to reduce the overfitting?