Hi

I was trying to run your code on another task. I have processed the data to be similar to semeval data. I have also amended the number of relations and the 2 files for evaluation with my relation types. However, I keep getting this error, any idea why?

[Epoch: 1, 3216/ 32185 points] total loss, accuracy per batch: 0.703, 0.733
[Epoch: 1, 6432/ 32185 points] total loss, accuracy per batch: 0.610, 0.774
[Epoch: 1, 9648/ 32185 points] total loss, accuracy per batch: 0.567, 0.794
[Epoch: 1, 12864/ 32185 points] total loss, accuracy per batch: 0.577, 0.780
[Epoch: 1, 16080/ 32185 points] total loss, accuracy per batch: 0.561, 0.785
[Epoch: 1, 19296/ 32185 points] total loss, accuracy per batch: 0.536, 0.793
[Epoch: 1, 22512/ 32185 points] total loss, accuracy per batch: 0.545, 0.799
[Epoch: 1, 25728/ 32185 points] total loss, accuracy per batch: 0.540, 0.792
[Epoch: 1, 28944/ 32185 points] total loss, accuracy per batch: 0.522, 0.799
[Epoch: 1, 32160/ 32185 points] total loss, accuracy per batch: 0.489, 0.810
06/21/2020 12:24:46 AM [INFO]: Evaluating test samples...
0%| | 1/1644 [00:15<7:00:27, 15.35s/it]
Traceback (most recent call last):
File "main_task.py", line 48, in
net = train_and_fit(args)
File "/Volumes/ghada/nlp/BERT-Relation-Extraction-master/src/tasks/trainer.py", line 159, in train_and_fit
results = evaluate_results(net, test_loader, pad_id, cuda)
File "/Volumes/ghada/nlp/BERT-Relation-Extraction-master/src/tasks/train_funcs.py", line 93, in evaluate_results
e1_e2_start=e1_e2_start)
File "/Users/ghada/opt/anaconda3/envs/relationBert/lib/python3.6/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "/Volumes/ghada/nlp/BERT-Relation-Extraction-master/src/model/BERT/modeling_bert.py", line 734, in forward
embedding_output = self.embeddings(input_ids=input_ids, position_ids=position_ids, token_type_ids=token_type_ids, inputs_embeds=inputs_embeds)
File "/Users/ghada/opt/anaconda3/envs/relationBert/lib/python3.6/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "/Volumes/ghada/nlp/BERT-Relation-Extraction-master/src/model/BERT/modeling_bert.py", line 177, in forward
position_embeddings = self.position_embeddings(position_ids)
File "/Users/ghada/opt/anaconda3/envs/relationBert/lib/python3.6/site-packages/torch/nn/modules/module.py", line 550, in call
result = self.forward(*input, **kwargs)
File "/Users/ghada/opt/anaconda3/envs/relationBert/lib/python3.6/site-packages/torch/nn/modules/sparse.py", line 114, in forward
self.norm_type, self.scale_grad_by_freq, self.sparse)
File "/Users/ghada/opt/anaconda3/envs/relationBert/lib/python3.6/site-packages/torch/nn/functional.py", line 1724, in embedding
return torch.embedding(weight, input, padding_idx, scale_grad_by_freq, sparse)
IndexError: index out of range in self