Comments (2)
Training is OK and repeatable - might be an issue with the preprocessing/generating the vocab and TF-IDF vectors with NLTK
from naacl2018-fever.
There was actually no issue here with seeds or randomness as the eval scripts ran OK.
The problem was the best weights were not loaded again at the end of training before the scores were printed to the stdout. However, if you run the eval script after training, the results are in line with the values reported in the paper.
I just edited the training script to load the best weights after training. @christos-c
from naacl2018-fever.
Related Issues (20)
- MLP model training crashes if models directory doesnt exist
- problems with model 2 from readme HOT 2
- Some training data files missing HOT 6
- Cannot find "OnlineTfidfDocRanker" HOT 5
- MLP training will crash if models directory doesn't exist
- ImportError: cannot import name 'Dataset' HOT 3
- Failed to build DrQA
- NameError: name 'get_count_matrix' is not defined HOT 2
- Key Error when running drQA HOT 1
- installation fails with pip 10.0.1 HOT 2
- Got TypeError: unhashable type: 'list' when running eval_mrr.py
- Evidence Retrieval Evaluation being killed
- Evaluation speed HOT 1
- Get error in the initialization regex HOT 1
- pytorch 0.3.1 seems too outdated to install HOT 1
- fever competition
- Pre-trained model.tar.gz Not Available HOT 2
- Error in Data Preparation HOT 2
- Can't download dataset HOT 2
- Can't download pretrained model HOT 3
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from naacl2018-fever.