Downloads · 30 days
9
2% of all-time downloads
Layoutlmv3-finetuned-DocLayNet-test
mckabue/Layoutlmv3-finetuned-DocLayNet-test
Layoutlmv3-finetuned-DocLayNet-test is a token classification model from mckabue. 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
573
Public
Repo size
2.5 GB
Likes
0
Public
Repo makeup
Click a slice to open those files.
.bin504 MB · 99%
At a glance
- Task
- Token Classification
- Library
- transformers
- License
- cc-by-nc-sa-4.0
- Model type
- layoutlmv3
- Access
- Public
- Created
- Aug 15, 2023
- Updated
- Aug 15, 2023
- SHA
- f6c5072b
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: 0.5038
- Precision: 0.5207
- Recall: 0.7112
- F1: 0.6012
- Accuracy: 0.8421
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
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 1.5092 | 0.37 | 250 | 0.8072 | 0.1922 | 0.2342 | 0.2111 | 0.8227 |
| 0.8608 | 0.73 | 500 | 0.6402 | 0.3963 | 0.6108 | 0.4807 | 0.8596 |
| 0.6463 | 1.1 | 750 | 0.8042 | 0.5702 | 0.6297 | 0.5985 | 0.8080 |
| 0.4495 | 1.46 | 1000 | 0.8439 | 0.5353 | 0.6234 | 0.5760 | 0.8033 |
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 15, 2023
- Updated
- Aug 15, 2023