georgian-io / Multimodal-Toolkit

Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
https://multimodal-toolkit.readthedocs.io
Apache License 2.0
587 stars 84 forks source link

RuntimeError: Caught RuntimeError in replica 0 on device 0. #50

Closed LinXin04 closed 1 year ago

LinXin04 commented 1 year ago

Number of trainable parameters = 110197407

0%|          | 0/18140 [00:00<?, ?it/s]Didn't find an RNG file, if you are resuming a training that was launched in a distributed fashion, reproducibility is not guaranteed. Traceback (most recent call last): File "main.py", line 305, in main() File "main.py", line 202, in main trainer.train( File "/root/miniconda3/lib/python3.8/site-packages/transformers/trainer.py", line 1543, in train return inner_training_loop( File "/root/miniconda3/lib/python3.8/site-packages/transformers/trainer.py", line 1791, in _inner_training_loop tr_loss_step = self.training_step(model, inputs) File "/root/miniconda3/lib/python3.8/site-packages/transformers/trainer.py", line 2539, in training_step loss = self.compute_loss(model, inputs) File "/root/miniconda3/lib/python3.8/site-packages/transformers/trainer.py", line 2571, in compute_loss outputs = model(inputs) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, *kwargs) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py", line 171, in forward outputs = self.parallel_apply(replicas, inputs, kwargs) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/parallel/data_parallel.py", line 181, in parallel_apply return parallel_apply(replicas, inputs, kwargs, self.device_ids[:len(replicas)]) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/parallel/parallel_apply.py", line 89, in parallel_apply output.reraise() File "/root/miniconda3/lib/python3.8/site-packages/torch/_utils.py", line 644, in reraise raise exception RuntimeError: Caught RuntimeError in replica 0 on device 0. Original Traceback (most recent call last): File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/parallel/parallel_apply.py", line 64, in _worker output = module(input, kwargs) File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, kwargs) File "/workspace/bin/multimodal_transformers/model/tabular_transformers.py", line 114, in forward outputs = self.bert( File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(*args, *kwargs) File "/root/miniconda3/lib/python3.8/site-packages/transformers/models/bert/modeling_bert.py", line 1012, in forward embedding_output = self.embeddings( File "/root/miniconda3/lib/python3.8/site-packages/torch/nn/modules/module.py", line 1501, in _call_impl return forward_call(args, kwargs) File "/root/miniconda3/lib/python3.8/site-packages/transformers/models/bert/modeling_bert.py", line 236, in forward embeddings += position_embeddings RuntimeError: The size of tensor a (1487) must match the size of tensor b (512) at non-singleton dimension 1

akashsaravanan-georgian commented 1 year ago

Hi @LinXin04 could you offer some context on this error? Is this the example code provided or is it your own? If the latter, could you share the snippet?

akashsaravanan-georgian commented 1 year ago

Closing due to inactivity.