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layoutlmv3-finetuned-cne_nvidia_100
lchiang/layoutlmv3-finetuned-cne_nvidia_100
layoutlmv3-finetuned-cne_nvidia_100 is a token classification model from lchiang. 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 4, 2023
- Updated
- Aug 4, 2023
- SHA
- bf8121b7
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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-cne_nvidia_100
This model is a fine-tuned version of microsoft/layoutlmv3-base on the cne-layoutlmv3 dataset. It achieves the following results on the evaluation set:
- Loss: 0.0064
- Precision: 0.9951
- Recall: 0.9951
- F1: 0.9951
- Accuracy: 0.9993
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: 3
- eval_batch_size: 3
- 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 | 7.81 | 250 | 0.0143 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.1596 | 15.62 | 500 | 0.0085 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.1596 | 23.44 | 750 | 0.0074 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.0195 | 31.25 | 1000 | 0.0068 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.0195 | 39.06 | 1250 | 0.0067 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.008 | 46.88 | 1500 | 0.0067 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.008 | 54.69 | 1750 | 0.0064 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.0034 | 62.5 | 2000 | 0.0063 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.0034 | 70.31 | 2250 | 0.0063 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
| 0.0023 | 78.12 | 2500 | 0.0064 | 0.9951 | 0.9951 | 0.9951 | 0.9993 |
Framework versions
- Transformers 4.31.0
- Pytorch 2.0.1
- Datasets 2.14.3
- Tokenizers 0.13.3
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Aug 4, 2023
- Updated
- Aug 4, 2023