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layoutlmv2-base-uncased_finetuned_docvqa2
Hawk1234/layoutlmv2-base-uncased_finetuned_docvqa2
layoutlmv2-base-uncased_finetuned_docvqa2 is a document question answering model from Hawk1234. Use it for the document question answering task on the model card, and read the license before you ship it in a product. It is set up for transformers. The card lists the license as cc-by-nc-sa-4.0.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Document Question Answering
- Library
- transformers
- License
- cc-by-nc-sa-4.0
- Model type
- layoutlmv2
- Access
- Public
- Created
- Mar 16, 2024
- Updated
- Mar 16, 2024
- SHA
- b9d83a8c
Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
layoutlmv2-base-uncased_finetuned_docvqa2
This model is a fine-tuned version of microsoft/layoutlmv2-base-uncased on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: nan
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 5e-05
- train_batch_size: 4
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 20
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.0 | 16.67 | 50 | nan |
Framework versions
- Transformers 4.38.2
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Document Question Answering
- Library
- transformers
- Type
- layoutlmv2
- License
- cc-by-nc-sa-4.0
- Created
- Mar 16, 2024
- Updated
- Mar 16, 2024