ValueError: not enough values to unpack (expected 2, got 1) - Textual/Company

[Ribo-Py]

!CUDA_VISIBLE_DEVICES=0 python train_ditto.py \ --task Textual/Company \ --batch_size 32 \ --max_len 128 \ --lr 3e-5 \ --n_epochs 20 \ --finetuning \ --lm roberta \ --fp16 \ --da drop_col

step: 0, loss: 0.609293520450592 Gradient overflow. Skipping step, loss scaler 0 reducing loss scale to 16384.0 Traceback (most recent call last): File "train_ditto.py", line 92, in <module> run_tag, hp) File "/home/ec2-user/SageMaker/vendor_matching/ditto/ditto_light/ditto.py", line 201, in train train_step(train_iter, model, optimizer, scheduler, hp) File "/home/ec2-user/SageMaker/vendor_matching/ditto/ditto_light/ditto.py", line 123, in train_step for i, batch in enumerate(train_iter): File "/home/ec2-user/anaconda3/envs/pytorch_p36/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 521, in __next__ data = self._next_data() File "/home/ec2-user/anaconda3/envs/pytorch_p36/lib/python3.6/site-packages/torch/utils/data/dataloader.py", line 561, in _next_data data = self._dataset_fetcher.fetch(index) # may raise StopIteration File "/home/ec2-user/anaconda3/envs/pytorch_p36/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 49, in fetch data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/ec2-user/anaconda3/envs/pytorch_p36/lib/python3.6/site-packages/torch/utils/data/_utils/fetch.py", line 49, in <listcomp> data = [self.dataset[idx] for idx in possibly_batched_index] File "/home/ec2-user/SageMaker/vendor_matching/ditto/ditto_light/dataset.py", line 80, in __getitem__ left, right = combined.split(' [SEP] ') ValueError: not enough values to unpack (expected 2, got 1)

[utsgr]

Were you able to solve this value error?

[Ribo-Py]

No.

…

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[pauloh48]

Were you able to solve this value error?

[progsi]

in my case there were two main problems: 1. In the code they try to split at [SEP] where as the default in the datasets provided to split between left and right is \t. 2. The variable combined gets split as well. By simply removing this step, it seems to work.

[oskar-ong]

I am encountering the same issue with the "wdc_all_small" task.