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Fail to train #7
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I agree. I am getting the same non-sense result. |
i have facing same issue but after changing epoch size from 1 to 5 i got better result. |
@maulik2222 No point. The logic of the network is naive and it will not yield any usable results. You'd save electricity and headache by starting with a fresh network architecture. I would suggest looking at these papers to understand why: |
I train the model with 1000 episodes but when i evaluate the model I always obtain the same result:
1 buy
1 sell
profit -1$
I try to evaluate with all other models from model10 to model500. Always the same results.
I think something in training is missing or wrong
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