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layoutlmv3-finetuned-cord_100
cavaliersanstete31/layoutlmv3-finetuned-cord_100
layoutlmv3-finetuned-cord_100 is a token classification model from cavaliersanstete31. 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
- Dec 12, 2024
- Updated
- Dec 12, 2024
- SHA
- 71bbc569
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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: 0.3961
- Precision: 0.8673
- Recall: 0.8809
- F1: 0.8740
- Accuracy: 0.8943
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: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- training_steps: 1000
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 0.6667 | 100 | 1.5629 | 0.4996 | 0.5327 | 0.5156 | 0.6029 |
| No log | 1.3333 | 200 | 0.9930 | 0.7471 | 0.7527 | 0.7499 | 0.7887 |
| No log | 2.0 | 300 | 0.7318 | 0.8310 | 0.8172 | 0.8240 | 0.8335 |
| No log | 2.6667 | 400 | 0.5813 | 0.8463 | 0.8337 | 0.84 | 0.8435 |
| 1.1111 | 3.3333 | 500 | 0.5164 | 0.8400 | 0.8379 | 0.8389 | 0.8509 |
| 1.1111 | 4.0 | 600 | 0.4977 | 0.8564 | 0.8536 | 0.8550 | 0.8605 |
| 1.1111 | 4.6667 | 700 | 0.4964 | 0.8596 | 0.8610 | 0.8603 | 0.8651 |
| 1.1111 | 5.3333 | 800 | 0.4481 | 0.8776 | 0.8776 | 0.8776 | 0.8820 |
| 1.1111 | 6.0 | 900 | 0.4096 | 0.8697 | 0.8776 | 0.8736 | 0.8898 |
| 0.3648 | 6.6667 | 1000 | 0.3961 | 0.8673 | 0.8809 | 0.8740 | 0.8943 |
Framework versions
- Transformers 4.47.0
- Pytorch 2.5.1+cu124
- Datasets 3.2.0
- Tokenizers 0.21.0
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Dec 12, 2024
- Updated
- Dec 12, 2024