Comments (1)
rsommerfeld
commented on August 24, 2024
Hi, thanks for noticing this! I will push a new commit shortly
As a side node: The model seems to be in eval-mode by default, which means that after loading a pre-trained model and using it for inference, there should not be any impact on performance. I would expect the validation accuracies to be affected, but have not tested if the impact is actually measurable. If you did, feel free to update here as I'm curious!
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Related Issues (15)
- Error trying to run the model (Runtime error CUDA out of memory) HOT 3
- Fix No module named 'torch' HOT 1
- How to train a model from scratch?
- Loss Function?
- What kind of detector would you recommend?
- issue on shape of underlying tensors HOT 1
- Local Model file
- Issues with training using IAM dataset HOT 4
- Accuracy goes to 0.0 frequently HOT 4
- Beam Search HOT 1
- Multi-GPU support HOT 1
- Pretrained model HOT 1
- score/certainty of prediction HOT 1
- Local model
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