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layoutlmv3-finetuned-cord_100
Kandru/layoutlmv3-finetuned-cord_100
layoutlmv3-finetuned-cord_100 is a token classification model from Kandru. 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 9, 2025
- Updated
- Nov 9, 2025
- SHA
- 3dbdcaae
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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_100
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: 1.2493
- Precision: 0.7999
- Recall: 0.8301
- F1: 0.8147
- Accuracy: 0.8160
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 | 8.3333 | 250 | 0.6570 | 0.7453 | 0.7993 | 0.7713 | 0.7910 |
| 0.4849 | 16.6667 | 500 | 0.7408 | 0.7871 | 0.8321 | 0.8090 | 0.8178 |
| 0.4849 | 25.0 | 750 | 0.8480 | 0.7826 | 0.8296 | 0.8054 | 0.8169 |
| 0.0669 | 33.3333 | 1000 | 0.9684 | 0.7941 | 0.8316 | 0.8124 | 0.8191 |
| 0.0669 | 41.6667 | 1250 | 1.0386 | 0.7831 | 0.8410 | 0.8110 | 0.8124 |
| 0.0224 | 50.0 | 1500 | 1.1457 | 0.7924 | 0.8326 | 0.8120 | 0.8112 |
| 0.0224 | 58.3333 | 1750 | 1.1723 | 0.7866 | 0.8276 | 0.8066 | 0.8127 |
| 0.0088 | 66.6667 | 2000 | 1.1545 | 0.7923 | 0.8261 | 0.8089 | 0.8168 |
| 0.0088 | 75.0 | 2250 | 1.2375 | 0.8025 | 0.8256 | 0.8139 | 0.8191 |
| 0.0042 | 83.3333 | 2500 | 1.2493 | 0.7999 | 0.8301 | 0.8147 | 0.8160 |
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 9, 2025
- Updated
- Nov 9, 2025