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layoutlmv3-finetuned-cord_1000
Jaytriggers/layoutlmv3-finetuned-cord_1000
layoutlmv3-finetuned-cord_1000 is a token classification model from Jaytriggers. 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
- Nov 12, 2025
- Updated
- Nov 19, 2025
- SHA
- 1a1152bb
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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-cord_1000
This model is a fine-tuned version of microsoft/layoutlmv3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1332
- Precision: 0.9897
- Recall: 0.9897
- F1: 0.9897
- Accuracy: 0.9844
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: 5
- eval_batch_size: 5
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 2500
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 5.0 | 250 | 0.1372 | 0.9795 | 0.9845 | 0.9820 | 0.9833 |
| 0.4286 | 10.0 | 500 | 0.1216 | 0.9846 | 0.9897 | 0.9871 | 0.9822 |
| 0.4286 | 15.0 | 750 | 0.1275 | 0.9795 | 0.9845 | 0.9820 | 0.9822 |
| 0.0446 | 20.0 | 1000 | 0.1235 | 0.9845 | 0.9845 | 0.9845 | 0.9833 |
| 0.0446 | 25.0 | 1250 | 0.1242 | 0.9897 | 0.9897 | 0.9897 | 0.9844 |
| 0.0206 | 30.0 | 1500 | 0.1284 | 0.9846 | 0.9897 | 0.9871 | 0.9833 |
| 0.0206 | 35.0 | 1750 | 0.1294 | 0.9897 | 0.9897 | 0.9897 | 0.9844 |
| 0.0082 | 40.0 | 2000 | 0.1315 | 0.9897 | 0.9897 | 0.9897 | 0.9844 |
| 0.0082 | 45.0 | 2250 | 0.1327 | 0.9897 | 0.9897 | 0.9897 | 0.9844 |
| 0.0055 | 50.0 | 2500 | 0.1332 | 0.9897 | 0.9897 | 0.9897 | 0.9844 |
Framework versions
- Transformers 4.57.1
- Pytorch 2.8.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Nov 12, 2025
- Updated
- Nov 19, 2025