Downloads · 30 days
8
0% of all-time downloads
Layoutlmv3-finetuned-DocLayNet-test
ritutweets46/Layoutlmv3-finetuned-DocLayNet-test
Layoutlmv3-finetuned-DocLayNet-test is a token classification model from ritutweets46. 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. --
All-time downloads
2.6K
Public
Parameters
126M
2 GB on disk
Likes
0
Public
Repo makeup
Click a slice to open those files.
.safetensors504 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-nc-sa-4.0
- Model type
- layoutlmv3
- Access
- Public
- Created
- Jul 23, 2024
- Updated
- Jul 23, 2024
- SHA
- e0bffe93
Try a prompt
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-DocLayNet-test
This model is a fine-tuned version of microsoft/layoutlmv3-base on the doc_lay_net-small dataset. It achieves the following results on the evaluation set:
- Loss: 0.8293
- Precision: 0.6648
- Recall: 0.6763
- F1: 0.6705
- Accuracy: 0.8583
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: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- lr_scheduler_warmup_ratio: 0.1
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 1.5039 | 0.3660 | 250 | 1.1856 | 0.1597 | 0.2785 | 0.2030 | 0.5852 |
| 0.8176 | 0.7321 | 500 | 0.6027 | 0.4143 | 0.5506 | 0.4728 | 0.8651 |
| 0.5533 | 1.0981 | 750 | 0.6755 | 0.5946 | 0.6266 | 0.6102 | 0.8649 |
| 0.4021 | 1.4641 | 1000 | 0.6233 | 0.6017 | 0.6646 | 0.6316 | 0.8804 |
Framework versions
- Transformers 4.42.4
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Jul 23, 2024
- Updated
- Jul 23, 2024