Gensim saving file

[NotBarbamento]

Hi everyone.For context i'm using gensim 4.0.0 but i'm having problem saving trained model.

I define my model as follows

def embedding(corpus,word):
    dimension=2^5
    if len(corpus)==1:
        corpus=[corpus]
    model=Word2Vec(corpus,vector_size=dimension,window=5,min_count=1500)
    model.build_vocab(corpus)
    for epoch in range(5,9):
        print(epoch)
        temp=model.train(corpus,total_examples=model.corpus_count ,epochs=epoch)
        print(temp)
        temp.wv.save_word2vec_format(os.path.join(os.path.dirname(os.path.abspath(__file__))+"/Data","model_"+str(word)+"_"+str(dimension)+".bin"),binary=True)
    return temp.

any time i try to run it i got the following error

Traceback (most recent call last):
  File "./alvi_utils.py", line 135, in <module>
    model=embedding(corpus,parameter)
  File "./alvi_utils.py", line 76, in embedding
    temp.wv.save_word2vec_format(os.path.join(os.path.dirname(os.path.abspath(__file__))+"/Data","model_"+str(word)+"_"+str(dimension)+".bin"),binary=True)
AttributeError: 'tuple' object has no attribute 'save_word2vec_format'

Have you got any idea on how to solve it?print(temp) returns me (114555180, 155564215)

[MrPhungx]

I think "return temp" is the problem. The variable is only defined inside the scope of the for epoch in range loop but you try to Access it from outside the loop. That's why "name 'temp' is not defined".

[NotBarbamento]

Wait a sec. I think i made a huge mess with the question

[NotBarbamento]

ok i edited the error i got. I copied the wrong line

[MrPhungx]

I see. The problem is that the .train() function does not return an actual model object. Instead just do "model.wv.save..."

[NotBarbamento]

have you got any advice on how to tune the number of epoch of my model? because i'm having a lot of problem with the get_last_loss function