Comments (4)
shamilcm
commented on August 19, 2024
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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renhongkai
commented on August 19, 2024
@shamilcm Thank you very much. I have a confusion: MLConv (4 ens.) Refers to which four models are assembled
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shamilcm
commented on August 19, 2024
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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NikhilCherian
commented on August 19, 2024
@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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