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layoutlmv3-finetuned-v8
nadirzn/layoutlmv3-finetuned-v8
layoutlmv3-finetuned-v8 is a token classification model from nadirzn. Use it when you need labels on individual words, such as names. 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
- Token Classification
- Library
- transformers
- License
- cc-by-nc-sa-4.0
- Model type
- layoutlmv3
- Access
- Public
- Created
- Mar 25, 2025
- Updated
- Mar 25, 2025
- SHA
- 5ca2f421
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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. -->
layoutlmv3-finetuned-v8
This model is a fine-tuned version of microsoft/layoutlmv3-base on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0166
- Precision: 0.9961
- Recall: 0.9922
- F1: 0.9942
- Accuracy: 0.9976
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: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.3514 | 100 | 0.1278 | 0.9922 | 0.9845 | 0.9883 | 0.9905 |
| No log | 2.7027 | 200 | 0.0709 | 0.9902 | 0.9806 | 0.9854 | 0.9941 |
| No log | 4.0541 | 300 | 0.0882 | 0.9802 | 0.9612 | 0.9706 | 0.9881 |
| No log | 5.4054 | 400 | 0.0309 | 0.9961 | 0.9922 | 0.9942 | 0.9976 |
| 0.0005 | 6.7568 | 500 | 0.0116 | 0.9981 | 0.9961 | 0.9971 | 0.9988 |
| 0.0005 | 8.1081 | 600 | 0.0294 | 0.9961 | 0.9922 | 0.9942 | 0.9976 |
| 0.0005 | 9.4595 | 700 | 0.0117 | 0.9981 | 0.9961 | 0.9971 | 0.9988 |
| 0.0005 | 10.8108 | 800 | 0.0129 | 0.9981 | 0.9961 | 0.9971 | 0.9988 |
| 0.0005 | 12.1622 | 900 | 0.0176 | 0.9961 | 0.9922 | 0.9942 | 0.9976 |
| 0.0 | 13.5135 | 1000 | 0.0166 | 0.9961 | 0.9922 | 0.9942 | 0.9976 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu121
- Datasets 3.3.1
- Tokenizers 0.21.0
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Mar 25, 2025
- Updated
- Mar 25, 2025