Comments (4)
We used Python3.5 and have specified python3.5 within train.sh and run.sh. Try replacing that to your version of python (i.e. Python 3.6) and run.
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@shamilcm Thank you very much. I have a confusion: MLConv (4 ens.) Refers to which four models are assembled
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MLConv (4 ens.) refers to the ensemble of these four models: models/mlconv/model{1,2,3,4}.pt
MLConv4_embed (4 ens.) refers to the ensemble of these four models: models/mlconv_embed/model{1,2,3,4}.pt
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@renhongkai
did you get the results of testing with m2 score? Can you share the results or guide me? I have not tried trained with reranker because of Moses problem. did the above script of run.sh with conll .m2 work?
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Related Issues (20)
- Using interactive instead of generate to evaluate HOT 1
- Python error: <stdin> is a directory, cannot continue HOT 2
- the size of training dataset? HOT 2
- How to use language model (94Bcclm.trie)? HOT 2
- TypeError: iter() returned non-iterator of type 'NBestList' HOT 9
- An error about Compile and install PyTorch(0.2.0) HOT 5
- Accuracy of trained model? HOT 12
- Fairseq-py Installation Issue HOT 5
- About training data
- reranker error HOT 6
- pytorch version? HOT 3
- pre-trainined embeddings. HOT 1
- ImportError: cannot import name 'libbleu' HOT 4
- 'Levenshtein greater than source size' when training re-ranker HOT 1
- Output directory error while running run.sh in google colab HOT 1
- ImportError: cannot import name 'libbleu' from 'fairseq' HOT 3
- Requesting NUCLE dataset 3.2
- Error loading state_size in FConvModel : size mismatch in encoder-decoder weights
- General question: GEC data preprocessing
- Can this model be used for any language?
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