Comments (5)
Why does a dict type variable turn to be a Tensor? @aaberdam I used the lmdb data the author provided.
https://github.com/amazon-research/semimtr-text-recognition/blob/9263639dda4a8323b29e7c52663046a5d190ba2a/semimtr/losses/losses.py#L61
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I am facing the same issue. The error occurs in finetuning stage only.
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Hi,
Thank you for raising this issue.
As you said, you don't have to calculate the loss on the test set; however, it does indicate what is the distribution shift with the train set, and therefore, we calculate it.
I will soon provide a fix for this and update here in the issue.
Thank you
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Please take a look on this commit: 73956fb
I believe it solves the issue.
Please let me know otherwise.
Thank you again for raising this issue,
Aviad
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@aaberdam Thank you very much for the follow-up and updates. For me the problem is solved after the update of the commit 73956fb. I think we can close the issue.
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Related Issues (14)
- Question about training time. HOT 1
- The shape of projector's input HOT 5
- Question about frame-to-instance implemenation HOT 1
- semimtr_finetune without language model use HOT 2
- About EMA HOT 3
- I run !pip install -r requirements.txt then i config for mine then i run into this error.
- Is there an implementation of Seqclr? HOT 3
- Question about other languages support HOT 1
- NaN in input tensor HOT 2
- imgaug augmenters HOT 1
- Training stopped after 5 epochs while Semimtr finetuning HOT 2
- Evaluation results? HOT 1
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