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LayoutLMv3-first
abderrazzak/LayoutLMv3-first
LayoutLMv3-first is a token classification model from abderrazzak. 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
- Oct 25, 2023
- Updated
- Oct 27, 2023
- SHA
- 9d8382e4
Try a prompt
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-first
This model is a fine-tuned version of microsoft/layoutlmv3-large on an unknown dataset. It achieves the following results on the evaluation set:
- Loss: 0.0001
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
- Accuracy: 1.0
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: 2
- eval_batch_size: 2
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 2000
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 100.0 | 100 | 0.0013 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 200.0 | 200 | 0.0005 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 300.0 | 300 | 0.0003 | 1.0 | 1.0 | 1.0 | 1.0 |
| No log | 400.0 | 400 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0449 | 500.0 | 500 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0449 | 600.0 | 600 | 0.0002 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0449 | 700.0 | 700 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0449 | 800.0 | 800 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0449 | 900.0 | 900 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0003 | 1000.0 | 1000 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0003 | 1100.0 | 1100 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0003 | 1200.0 | 1200 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0003 | 1300.0 | 1300 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0003 | 1400.0 | 1400 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0002 | 1500.0 | 1500 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0002 | 1600.0 | 1600 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0002 | 1700.0 | 1700 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0002 | 1800.0 | 1800 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0002 | 1900.0 | 1900 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0002 | 2000.0 | 2000 | 0.0001 | 1.0 | 1.0 | 1.0 | 1.0 |
Framework versions
- Transformers 4.29.2
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Oct 25, 2023
- Updated
- Oct 27, 2023