Comments (1)
Error seems to be RuntimeError: CUDA error: device-side assert triggered
.
Here is the stackoverflow thread
Seems like the number of labels are exceeding than output defined. Either you can change the vocab size parameter wherever required or you can use the same tokenizer as used in pre-training.
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Related Issues (20)
- About the model explanation HOT 9
- Multiple images HOT 3
- Consideration of padding? HOT 2
- Cannot implement data parallel training for multiple GPUs HOT 1
- No simple way to test custom trained model HOT 1
- Questions on using sample images HOT 2
- Hugging Face Hub Integration HOT 5
- Specific words are preferred to be generated when I was training catr-model on my own dataset HOT 4
- Can I know loss of your pretrained model? HOT 1
- Model Performance HOT 1
- predict.py with using gpu HOT 1
- How to slice <eos> token with different sentence length HOT 7
- Beam search
- RuntimeError: PytorchStreamReader failed reading zip archive: failed finding central directory HOT 1
- What the difference between v1, v2 and v3? HOT 1
- Some questions about image augmentation
- The requirements version
- loading model HOT 4
- loading model HOT 49
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