localminimum / localminimum/R-net
Training restarted again after it hit 100%
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- Dominant language
- Python
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Description
Initially I had issue while running model.py. Cannot reshape array of size 27481400 into shape(91604,300).
But I have fixed it by changing the config value vocab_size by 2196018 .
My training has started successfully after the above config change. It was running around 5 days and completed 100 %. I left my machine open for training and I thought it will end up after 100%. But yesterday again it started to run from the scratch. Any issue here? or do I need to stop manually when it comes to 100%?
I set num_epochs to 10 in params.py file. Will it run for 10 cycles?
I have attached screen shot. Any help would be really appreciated
.
I have VM with 64 GB RAM and I am using Ubuntu 14.04.
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First steps
- Read the whole issue, then the project's contributing guide.
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- Fork the repository and make your change on a branch.
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Research direction
Start by reading model.py and params.py, especially how num_epochs is interpreted and how training completion is handled. Reproduce the run if possible and trace what happens after reaching 100%. Done means the cause of the restart is identified and the training process has a clear, verified completion behavior.
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Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Bug
- Difficulty
- 4/5
- Estimated time
- 3-5 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 30/100