Comments (9)
Hi,
I also post another issue at below link when I train with my data.
https://github.com/facebookresearch/fairseq-py/issues/129
from mlconvgec2018.
Hi, the current issue seems to be with our fork of fairseq-py, so you can close the issue you opened here: facebookresearch/fairseq-py#129 and re-post the issue here.
from mlconvgec2018.
The issue was due to some hardcoded paths in arguments.
It is now fixed here: shamilcm/fairseq-py@ceb2f12
Can you retry with this?
Regarding the training issue, can you close it at facebookresearch/fairseq-py#129 and open a new issue here. I will take a look at it.
Also what data is it trained on? Is it a very small training data with fewer than 30000 words in the vocabulary?
from mlconvgec2018.
hi, the training data is Lang-8 Learner Corpus of English v1.0 and NUCLE
from mlconvgec2018.
Hi Shamil,
So I need to delete the software/fairseq-py, download the new one and reinstall it right ?
Regards,
Viet Anh
from mlconvgec2018.
If you installed fairseq-py using setup.py, pull the new changes and run it again. Otherwise, you just need to just pull the changes. The change is done in only one file: fairseq/utils.py
from mlconvgec2018.
Thank Shamil. If I already installed fairseq-py, could I just copy your new utils to replace the old utils ?
The reason is that I used your version of fairseq-py with the new version of PyTorch and I had some trouble with setup.py build and I need to apply some manual patch. (The version of PyTorch in your original read me has some problems, thus I need to use the newest version of PyTorch)
https://github.com/facebookresearch/fairseq-py/issues/120
from mlconvgec2018.
If you installed by python setup.py develop
, just getting utils.py should work.
from mlconvgec2018.
Closing this issue as it has been resolved.
from mlconvgec2018.
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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