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20231114_DocVQA_laytlm_2ep_full50k_Doc_NA
zibajoon/20231114_DocVQA_laytlm_2ep_full50k_Doc_NA
20231114_DocVQA_laytlm_2ep_full50k_Doc_NA is a document question answering model from zibajoon. 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
- Nov 14, 2023
- Updated
- Nov 15, 2023
- SHA
- 5c211153
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. -->
20231114_DocVQA_layoutlm2_full_dataset_50k_5_epochs
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: 0.6737
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_steps: 500
- num_epochs: 2
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 0.7512 | 1.0 | 1261 | 0.8101 |
| 0.5314 | 2.0 | 2522 | 0.6737 |
Framework versions
- Transformers 4.35.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1
- Task
- Document Question Answering
- Library
- transformers
- Type
- layoutlmv2
- License
- cc-by-nc-sa-4.0
- Created
- Nov 14, 2023
- Updated
- Nov 15, 2023