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layoutlmv2-base-uncased_finetuned_docvqa_v2
StKirill/layoutlmv2-base-uncased_finetuned_docvqa_v2
layoutlmv2-base-uncased_finetuned_docvqa_v2 is a document question answering model from StKirill. 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 2, 2023
- Updated
- Nov 2, 2023
- SHA
- d76879e8
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_docvqa_v2
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: 2.4977
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 5.1316 | 0.44 | 50 | 4.3296 |
| 4.3071 | 0.88 | 100 | 3.9311 |
| 3.8545 | 1.33 | 150 | 3.7061 |
| 3.6578 | 1.77 | 200 | 3.5642 |
| 3.2506 | 2.21 | 250 | 3.3789 |
| 2.9991 | 2.65 | 300 | 3.1969 |
| 2.7893 | 3.1 | 350 | 3.2842 |
| 2.3975 | 3.54 | 400 | 2.8765 |
| 2.1188 | 3.98 | 450 | 3.0513 |
| 1.9405 | 4.42 | 500 | 2.6575 |
| 1.7123 | 4.87 | 550 | 2.8113 |
| 1.6361 | 5.31 | 600 | 2.6848 |
| 1.5425 | 5.75 | 650 | 2.7986 |
| 1.2871 | 6.19 | 700 | 2.9508 |
| 1.1132 | 6.64 | 750 | 2.7070 |
| 1.1105 | 7.08 | 800 | 2.6293 |
| 0.8855 | 7.52 | 850 | 2.9005 |
| 0.9427 | 7.96 | 900 | 2.4977 |
| 0.8359 | 8.41 | 950 | 2.7100 |
| 0.7038 | 8.85 | 1000 | 2.8090 |
| 0.7068 | 9.29 | 1050 | 2.8265 |
| 0.7037 | 9.73 | 1100 | 2.8136 |
Framework versions
- Transformers 4.35.0
- 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 2, 2023
- Updated
- Nov 2, 2023