i've got this error:

Train epoch 1: 0%| | 0/1384 [00:00<?, ?it/s]
Traceback (most recent call last):
File "train_batch.py", line 200, in
avg_loss, acc = train_epoch_progress(model, train_iter, loss_function, optimizer, text_field, label_field, epoch)
File "train_batch.py", line 64, in train_epoch_progress
pred = model(sent)
File "/home/luisfredgs/anaconda3/envs/MachineLearning/lib/python3.5/site-packages/torch/nn/modules/module.py", line 357, in call
result = self.forward(*input, **kwargs)
File "/home/luisfredgs/Documentos/machine-learning/nlp/pytorch/pytorch-sentiment-classification/lstm.py", line 31, in forward
x = self.embeddings(sentence).view(len(sentence), self.batch_size, -1)
File "/home/luisfredgs/anaconda3/envs/MachineLearning/lib/python3.5/site-packages/torch/nn/modules/module.py", line 357, in call
result = self.forward(*input, **kwargs)
File "/home/luisfredgs/anaconda3/envs/MachineLearning/lib/python3.5/site-packages/torch/nn/modules/sparse.py", line 103, in forward
self.scale_grad_by_freq, self.sparse
File "/home/luisfredgs/anaconda3/envs/MachineLearning/lib/python3.5/site-packages/torch/nn/_functions/thnn/sparse.py", line 59, in forward
output = torch.index_select(weight, 0, indices.view(-1))
TypeError: torch.index_select received an invalid combination of arguments - got (torch.cuda.FloatTensor, int, torch.LongTensor), but expected (torch.cuda.FloatTensor source, int dim, torch.cuda.LongTensor index)

Could you help?

Hi, what did you do for data preprocessing? I deal with sentence-level sentiment classification on BiLSTM. The accuracy is 86% on your dataset, but 82% on the dataset downloaded from the official website. I found that all strings were converted to lowercase and special characters were deleted. Is there anything else?