Comments (3)
atulkum
commented on June 3, 2024
did you turn on the coverage loss?
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jiangix01
commented on June 3, 2024
Very thanks for your reply.
I do not turn on the coverage loss. However, according to the figure 2 in the readme, the result without coverage loss is also high. My score is very low. So I do not know the reason. Thanks a lot.
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Sixy1204
commented on June 3, 2024
Very thanks for your reply.
I do not turn on the coverage loss. However, according to the figure 2 in the readme, the result without coverage loss is also high. My score is very low. So I do not know the reason. Thanks a lot.
Me too. Have you fixed the issue?
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Related Issues (20)
- Python3 support? HOT 13
- During the training and verification process, when "step = 0", the "coverage" is initialized differently. During training, the coverage is an all-zero tensor, but this is not the case during prediction. HOT 1
- url correction HOT 1
- What is the version of tensorflow？ HOT 1
- Test time custom decoding!!
- Training saturates early? HOT 3
- Vector encode input extend vocab HOT 3
- what's function of the eval.py when i check the train.py ,it does't call the eval.py , save the model directly? HOT 1
- question about eval HOT 1
- eval.py decode.py HOT 2
- when i train it with coverage ,the loss is nan when i get 250k iter? HOT 1
- how to use valid dataset to select a bestmodel to test? HOT 1
- How to train with Coverage? HOT 1
- 'Encoder' object has no attribute 'tx_proj' HOT 3
- What is the specific implementation of pointer network HOT 1
- Can the code here be trained with multiple GPUs HOT 1
- Discrepancy with implementation and the paper
- Retraining model cause optimizer duplicate parameter error HOT 3
- How to choose the best training model
- Duplicated computation with LSTM?
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