What to use pretrained models (Glove) or train my own model?
$begingroup$
I have been using pre-trained models such as google news or Glove 6B model but many words in my text data does not have their vectors representation in those pre trained model. So I was thinking of maybe train my own model with the data I have.
Is there any disadvantages in training our own model? or Should I keep using pre-trained model. What is the difference between training our own model or using pre-trained model.
# This is how I am thinking to train the model
from gensim.models import Word2Vec
w2v_model=Word2Vec(list_of_sentance_train,min_count=5,size=50, workers=4)
machine-learning nlp word2vec word-embeddings
asked 11 mins ago
user214user214
15315
$endgroup$
add a comment |
$begingroup$
I have been using pre-trained models such as google news or Glove 6B model but many words in my text data does not have their vectors representation in those pre trained model. So I was thinking of maybe train my own model with the data I have.
Is there any disadvantages in training our own model? or Should I keep using pre-trained model. What is the difference between training our own model or using pre-trained model.
# This is how I am thinking to train the model
from gensim.models import Word2Vec
w2v_model=Word2Vec(list_of_sentance_train,min_count=5,size=50, workers=4)
machine-learning nlp word2vec word-embeddings
asked 11 mins ago
user214user214
15315
$endgroup$
add a comment |
$begingroup$
I have been using pre-trained models such as google news or Glove 6B model but many words in my text data does not have their vectors representation in those pre trained model. So I was thinking of maybe train my own model with the data I have.
Is there any disadvantages in training our own model? or Should I keep using pre-trained model. What is the difference between training our own model or using pre-trained model.
# This is how I am thinking to train the model
from gensim.models import Word2Vec
w2v_model=Word2Vec(list_of_sentance_train,min_count=5,size=50, workers=4)
machine-learning nlp word2vec word-embeddings
asked 11 mins ago
user214user214
15315
$endgroup$
I have been using pre-trained models such as google news or Glove 6B model but many words in my text data does not have their vectors representation in those pre trained model. So I was thinking of maybe train my own model with the data I have.
Is there any disadvantages in training our own model? or Should I keep using pre-trained model. What is the difference between training our own model or using pre-trained model.
# This is how I am thinking to train the model
from gensim.models import Word2Vec
w2v_model=Word2Vec(list_of_sentance_train,min_count=5,size=50, workers=4)
machine-learning nlp word2vec word-embeddings
machine-learning nlp word2vec word-embeddings
asked 11 mins ago
user214user214
15315
asked 11 mins ago
user214user214
15315
asked 11 mins ago
user214user214
15315
asked 11 mins ago
user214user214
15315
asked 11 mins ago
user214user214
15315
15315
add a comment |
add a comment |
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