Comments (3)
Hello, I am trying to run this model on my own dataset, but the results after 100 epochs of training are similar to the beginning, it seems that it have not learned anything, so I would like to ask you if this is the case?
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I tested the code on a small dataset and appears that it works. But the accuracy is low. You need to check your data to ensure you are not making any mistake.
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Hi, Thank you for the code and the great work. I have two questions regarding your work. First how many number of epochs your model needs to train successfully? I am running your model on my dataset however it is not learning till 10 epochs therefore I want to know how many epochs your model needs. Secondly do you also have trained models as transformers need a lot of resources for training. Therefore if you can provide trained models that would help me a lot. Thank you for your time.
How large is your dataset?
Sorry, I don't have access to the trained models anymore. Do you have access to a GPU?
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Related Issues (20)
- About applications on custom datasets HOT 3
- A question of the args "--grad_ac_step" HOT 12
- A question about argument "--pos_emb" and a possible comparsive method. HOT 1
- Running HOT 1
- What is the result of VOC2007? HOT 2
- Weird same prediction with large dataset HOT 2
- ERROR: Unexpected bus error encountered in worker. This might be caused by insufficient shared memory (shm) HOT 1
- How to Inference HOT 1
- Implementation for my Dataset HOT 1
- 'CTranModel' object has no attribute 'module'. Did you mean: 'modules'? HOT 7
- Train on custom dataset HOT 4
- Multi-Label Classification where each label is Multi-class
- Question about the diag_mask in CTran.py file HOT 4
- Hello, we are unable to access the dataset download link you provided HOT 2
- Custom dataset HOT 1
- use voc dataset error
- coco datasets HOT 1
- Using CTran for Barcode Value Prediction HOT 1
- CoCo datasets HOT 1
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