Comments (2)
RachelDavis
commented on July 28, 2024
Hello! I just got the code updated 10 days ago and I'm getting a 50% accuracy on a test set of 2 examples. I'm wondering why the test set is only 2 examples now, as the dataset was significantly larger.
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dennybritz
commented on July 28, 2024
The change was to make it easier to evaluate your own data by modifying the eval.py. I added back the option to evaluate on all training data in 6dbd02a using this:
./eval.py --eval_train --checkpoint_dir=...
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Related Issues (20)
- Why the direction of concatting is `axis 3`?
- Sentence Length in code
- eval.py
- AttributeError: _parse_flags on running eval.py HOT 2
- About code
- Training problem
- Unknown error
- What's the best results on MR data?
- 1 Epoch size? HOT 1
- Model size after training HOT 1
- why training speed is very slow when using a large of training dataset ?
- output/predictions not in train.py
- what should I do if I wanna predict whether a piece of news is true？
- AttributeError: _parse_flags HOT 3
- Vocabulary size
- size of maxpooling HOT 2
- What is the size of embedded_chars_expanded ?
- tf.get_variable and tf.Variable HOT 2
- Please, How to print F1-score and recall etc. HOT 3
- AttributeError: module 'tensorflow_estimator.python.estimator.api._v1.estimator' has no attribute 'preprocessing' HOT 1
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