Comments (3)
uakarsh
commented on July 20, 2024
3
We are trying to think for releasing it, but we need to make sure that, our model is performing as closely as that mentioned in the paper
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philschmid
commented on July 20, 2024
any update here? It might be an nice addition to Hugging Face Transformers!
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uakarsh
commented on July 20, 2024
Hi @philschmid, I did try to train DocFormer from scratch on FUNSD dataset.
Here is the script, Kaggle Notebook, and here are the results Weight and Bias Report
When we see the results, the model is overfitting the train data and can obtain 100 percentage results on each of those metrics but around 30 percentage on the validation set (refer to the kaggle notebook's last section).
Not sure, about how to confirm if the implementation is appropriate or not.
Regards,
Akarsh
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Related Issues (20)
- Reference code of pre-training tasks HOT 4
- [Errno 2] No such file or directory: 'rvl_cdip_dataset.csv'
- NER task HOT 4
- Predictions are wrong. HOT 1
- can you provide visual question answering task code HOT 1
- Unable to convert model to onnx HOT 3
- DocFormer for Token Classification. HOT 3
- Shape mismatch during sanity check HOT 1
- finetune the Docformer HOT 8
- Pre-trained models HOT 5
- Error in Example: Please provide the bounding box and words or pass the argument "use_ocr" = True HOT 1
- DocFormer for key-value pairs extraction HOT 1
- Using pre-trained models HOT 17
- Inference for token classification. HOT 1
- We can not find DocFormer_For_IR in modeling.py and modeling_l.py HOT 1
- Permission Denied Pretraining Weights HOT 2
- NotImplementedError: Support for `validation_epoch_end` has been removed in v2.0.0. `DocFormer` implements this method HOT 2
- pre-training code tutorial HOT 3
- The pre-trained weight link is invalid HOT 1
- DocFormerv2 HOT 1
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