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layoutlmv3-finetuned-cord_100
cor-c/layoutlmv3-finetuned-cord_100
layoutlmv3-finetuned-cord_100 is a token classification model from cor-c. 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
- Jan 1, 2024
- Updated
- Apr 14, 2024
- SHA
- 0a4e8e67
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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-finetuned-cord_100
This model is a fine-tuned version of microsoft/layoutlmv3-base on the layoutlm_v3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2976
- Precision: 0.9298
- Recall: 0.9416
- F1: 0.9357
- Accuracy: 0.9393
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 | 4.17 | 250 | 1.0222 | 0.7468 | 0.7949 | 0.7701 | 0.8014 |
| 1.3962 | 8.33 | 500 | 0.5292 | 0.8414 | 0.8735 | 0.8571 | 0.8778 |
| 1.3962 | 12.5 | 750 | 0.3844 | 0.9049 | 0.9192 | 0.9120 | 0.9249 |
| 0.335 | 16.67 | 1000 | 0.3302 | 0.9243 | 0.9326 | 0.9285 | 0.9342 |
| 0.335 | 20.83 | 1250 | 0.3062 | 0.9204 | 0.9349 | 0.9276 | 0.9406 |
| 0.1419 | 25.0 | 1500 | 0.2931 | 0.9268 | 0.9386 | 0.9327 | 0.9414 |
| 0.1419 | 29.17 | 1750 | 0.2925 | 0.9248 | 0.9386 | 0.9316 | 0.9359 |
| 0.0801 | 33.33 | 2000 | 0.2963 | 0.9276 | 0.9394 | 0.9334 | 0.9359 |
| 0.0801 | 37.5 | 2250 | 0.2916 | 0.9283 | 0.9401 | 0.9342 | 0.9363 |
| 0.0584 | 41.67 | 2500 | 0.2976 | 0.9298 | 0.9416 | 0.9357 | 0.9393 |
Framework versions
- Transformers 4.39.3
- Pytorch 2.2.1+cu121
- Datasets 2.18.0
- Tokenizers 0.15.2
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Jan 1, 2024
- Updated
- Apr 14, 2024