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layoutlmv3-finetuned-cord_100
ishumishra1601/layoutlmv3-finetuned-cord_100
layoutlmv3-finetuned-cord_100 is a token classification model from ishumishra1601. 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
- Aug 16, 2023
- Updated
- Aug 16, 2023
- SHA
- 2cb7a680
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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 cord-layoutlmv3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.2454
- Precision: 0.9393
- Recall: 0.9499
- F1: 0.9445
- Accuracy: 0.9495
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 | 2.5 | 250 | 1.0544 | 0.7297 | 0.7822 | 0.7551 | 0.7852 |
| 1.4348 | 5.0 | 500 | 0.5651 | 0.8477 | 0.8705 | 0.8589 | 0.8693 |
| 1.4348 | 7.5 | 750 | 0.4012 | 0.8833 | 0.9012 | 0.8922 | 0.9083 |
| 0.4052 | 10.0 | 1000 | 0.3168 | 0.9208 | 0.9311 | 0.9259 | 0.9338 |
| 0.4052 | 12.5 | 1250 | 0.2823 | 0.9304 | 0.9401 | 0.9352 | 0.9410 |
| 0.2039 | 15.0 | 1500 | 0.2626 | 0.9242 | 0.9394 | 0.9317 | 0.9397 |
| 0.2039 | 17.5 | 1750 | 0.2504 | 0.9305 | 0.9424 | 0.9364 | 0.9448 |
| 0.1333 | 20.0 | 2000 | 0.2425 | 0.9324 | 0.9491 | 0.9407 | 0.9503 |
| 0.1333 | 22.5 | 2250 | 0.2442 | 0.9371 | 0.9484 | 0.9427 | 0.9486 |
| 0.1042 | 25.0 | 2500 | 0.2454 | 0.9393 | 0.9499 | 0.9445 | 0.9495 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.4
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Aug 16, 2023
- Updated
- Aug 16, 2023