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layoutlmv3-finetuned-cord_100
Abhishek92kumar/layoutlmv3-finetuned-cord_100
layoutlmv3-finetuned-cord_100 is a token classification model from Abhishek92kumar. 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
- May 30, 2023
- Updated
- May 30, 2023
- SHA
- a99647ae
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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 cord-layoutlmv3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2012
- Precision: 0.9407
- Recall: 0.9506
- F1: 0.9456
- Accuracy: 0.9584
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 | 1.56 | 250 | 1.0522 | 0.6964 | 0.7657 | 0.7294 | 0.7831 |
| 1.4089 | 3.12 | 500 | 0.5725 | 0.84 | 0.8645 | 0.8521 | 0.8786 |
| 1.4089 | 4.69 | 750 | 0.3936 | 0.8720 | 0.9027 | 0.8871 | 0.9104 |
| 0.3977 | 6.25 | 1000 | 0.3240 | 0.9204 | 0.9349 | 0.9276 | 0.9397 |
| 0.3977 | 7.81 | 1250 | 0.2827 | 0.9244 | 0.9341 | 0.9293 | 0.9414 |
| 0.2176 | 9.38 | 1500 | 0.2381 | 0.9225 | 0.9349 | 0.9286 | 0.9452 |
| 0.2176 | 10.94 | 1750 | 0.2497 | 0.9161 | 0.9319 | 0.9239 | 0.9419 |
| 0.1565 | 12.5 | 2000 | 0.2149 | 0.9392 | 0.9484 | 0.9438 | 0.9520 |
| 0.1565 | 14.06 | 2250 | 0.2075 | 0.9348 | 0.9446 | 0.9397 | 0.9542 |
| 0.1192 | 15.62 | 2500 | 0.2012 | 0.9407 | 0.9506 | 0.9456 | 0.9584 |
Framework versions
- Transformers 4.28.0
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- May 30, 2023
- Updated
- May 30, 2023