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layoutlmv3-finetuned-cord_gpu
MuryTheReaper/layoutlmv3-finetuned-cord_gpu
layoutlmv3-finetuned-cord_gpu is a token classification model from MuryTheReaper. 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
- Apr 29, 2024
- Updated
- Apr 29, 2024
- SHA
- 2ba0e75f
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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_gpu
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: 0.3983
- Precision: 0.8664
- Recall: 0.8625
- F1: 0.8644
- Accuracy: 0.8969
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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 650
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| No log | 2.5 | 250 | 0.6325 | 0.8341 | 0.8290 | 0.8316 | 0.8558 |
| 0.9598 | 5.0 | 500 | 0.3983 | 0.8664 | 0.8625 | 0.8644 | 0.8969 |
Framework versions
- Transformers 4.40.1
- Pytorch 2.3.0+cu118
- Datasets 2.19.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Apr 29, 2024
- Updated
- Apr 29, 2024