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Model cannot be output if the raise the dimension of word vector #17
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Hi, can you provide some code? (one I can test, with some data) I just tried
And had no issue... Can you try -verbose 1 in your command line? |
@pommedeterresautee Source code below:
The wiki-news-300d-1M.vec download from facebookresearch pre-trained vector at below website. |
it may be related to RAM issue. Did you fixed it? |
Hi - I'm having the same issue as @chuangys, it seems to hang on the larger vec file ? I have 16GB of RAM |
Have you some test code? Did you checked the RAM (model trained by Facebook are quite big). |
I do. execute(commands = c("supervised", "-input", "C:/Users/xxx/R/fasttext_test/train.txt", This worked (while the Facebook one would not) - however I'm using pre trained vectors : Here is the RAM size
Would you know of a larger example I could try with fastrtext to try that you know works with a pretrained vec from an external source? It may help clarify if it's my environment or not |
hi,i have a question: the arguments of ' pretrainedVectors does not support the vec products by gensim ?thks |
@datalee what is the feature you are referring to? |
@pommedeterresautee classification. |
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Everything is okay within the default parameter setting. But when I raised the dimension of word vector too 200, or 300. The model training is still fast but hang at model output. Could you help to check it?
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