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layoutlmv3-finetuned-cord_100
zoeyucan/layoutlmv3-finetuned-cord_100
layoutlmv3-finetuned-cord_100 is a token classification model from zoeyucan. 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
- Jul 4, 2023
- Updated
- Jul 4, 2023
- SHA
- 0438b376
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Datasets
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 the cord-layoutlmv3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2022
- Precision: 0.9538
- Recall: 0.9588
- F1: 0.9563
- Accuracy: 0.9631
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2500
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.56 | 250 | 1.0279 | 0.7292 | 0.7822 | 0.7548 | 0.7954 |
| 1.3859 | 3.12 | 500 | 0.5727 | 0.8413 | 0.8690 | 0.8549 | 0.8807 |
| 1.3859 | 4.69 | 750 | 0.4042 | 0.8940 | 0.9094 | 0.9017 | 0.9194 |
| 0.3926 | 6.25 | 1000 | 0.3277 | 0.9249 | 0.9311 | 0.9280 | 0.9355 |
| 0.3926 | 7.81 | 1250 | 0.2626 | 0.9281 | 0.9379 | 0.9330 | 0.9427 |
| 0.211 | 9.38 | 1500 | 0.2439 | 0.9326 | 0.9424 | 0.9375 | 0.9491 |
| 0.211 | 10.94 | 1750 | 0.2354 | 0.9380 | 0.9506 | 0.9442 | 0.9554 |
| 0.1437 | 12.5 | 2000 | 0.2132 | 0.9437 | 0.9528 | 0.9482 | 0.9593 |
| 0.1437 | 14.06 | 2250 | 0.2004 | 0.9525 | 0.9603 | 0.9564 | 0.9656 |
| 0.1084 | 15.62 | 2500 | 0.2022 | 0.9538 | 0.9588 | 0.9563 | 0.9631 |
Framework versions
- Transformers 4.30.2
- Pytorch 1.11.0+cu113
- Datasets 2.13.1
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Jul 4, 2023
- Updated
- Jul 4, 2023