Comments (3)
My guess is that you need to set the parameter --dataset_impl
in your training command.
In the first line in the screenshot, dataset_impl=None
. If you're using binarized data, you'll want to set this to mmap
, and if you're using raw data (not binarized, images computed when internal dataset representation constructed, which is what I typically did for MTTT because it is relatively small), you can set this to raw
.
If you still see an issue, please comment again and I'll do my best to help, and if that works, feel free to close!
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Hi thank you for the reply
It is working now, just a small question did you try this model with very small dataset let's say (around 10000 sentence pair)
Also how did you evaluate your trained model.
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Great, glad to hear!
No, I did not try datasets smaller than MTTT. You may want to try adapting a model trained on more data.
We evaluated using BLEU as computed by sacrebleu, after first removing sentencepiece segmentation.
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Related Issues (4)
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