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layoutlmv3_cord_model_trained_on_layoutlmv2_cord_ds
doc2txt/layoutlmv3_cord_model_trained_on_layoutlmv2_cord_ds
layoutlmv3_cord_model_trained_on_layoutlmv2_cord_ds is a token classification model from doc2txt. 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
- Feb 3, 2024
- Updated
- Feb 3, 2024
- SHA
- 6c52c939
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Base models
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_cord_model_trained_on_layoutlmv2_cord_ds
This model is a fine-tuned version of microsoft/layoutlmv3-base on the cord dataset. It achieves the following results on the evaluation set:
- Loss: 0.1581
- Precision: 0.9602
- Recall: 0.9555
- F1: 0.9578
- Accuracy: 0.9634
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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- num_epochs: 5
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 1.0 | 400 | 0.5418 | 0.8409 | 0.8293 | 0.8350 | 0.8550 |
| 1.1231 | 2.0 | 800 | 0.2616 | 0.9262 | 0.9239 | 0.9251 | 0.9405 |
| 0.2749 | 3.0 | 1200 | 0.3170 | 0.9272 | 0.9280 | 0.9276 | 0.9259 |
| 0.1533 | 4.0 | 1600 | 0.1518 | 0.9529 | 0.9498 | 0.9514 | 0.9602 |
| 0.0808 | 5.0 | 2000 | 0.1581 | 0.9602 | 0.9555 | 0.9578 | 0.9634 |
Framework versions
- Transformers 4.37.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.1
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Feb 3, 2024
- Updated
- Feb 3, 2024