localminimum / localminimum/QANet
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- Dominant language
- Python
- Stars
- 985
- Forks
- 297
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Description
Model | Training Steps | Size | Attention Heads | Data Size (aug) | EM | F1
-- | -- | -- | -- | -- | -- | --
My Model | 60,000 | 128 | 1 | 87k (no aug) | 70.7 | 79.8
The results are obtained on a K80 machine. I modify the trilinear function for memory efficiency, but the results are the same with the current version of this repository.
I'm not sure about the overfitting, the model is the last checkpoint after training 60,000 steps.
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Research direction
The issue reports a model-results table and notes training on a K80 for 60,000 steps, but names no file, test, or entry point. First clarify with maintainers whether these results should be added to project documentation and what source or format is expected; done should mean the requested results are recorded in the agreed location.
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Assessment
- Tech stack
- python, tensorflow
- Domain
- machine-learning
- Issue type
- Documentation
- Difficulty
- 5/5
- Estimated time
- Over a week
- Activity status
- Stale
- Clarity
- Needs clarification
- Newbie friendliness
- 20/100