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layoutlmv3-finetuned_beta_0.2
riteshbehera857/layoutlmv3-finetuned_beta_0.2
layoutlmv3-finetuned_beta_0.2 is a machine learning model from riteshbehera857. Use it for the machine learning task on the model card, and read the license before you ship it in a product. 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
- License
- cc-by-nc-sa-4.0
- Model type
- layoutlmv3
- Access
- Public
- Created
- Aug 10, 2024
- Updated
- Aug 10, 2024
- SHA
- a9903608
Base models
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_beta_0.2
This model is a fine-tuned version of microsoft/layoutlmv3-base on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.0006
- Precision: 1.0
- Recall: 1.0
- F1: 1.0
- Accuracy: 1.0
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: 2e-05
- train_batch_size: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
Training results
| Training Loss | Epoch | Step | Validation Loss | Precision | Recall | F1 | Accuracy |
|---|---|---|---|---|---|---|---|
| 0.0012 | 1.0 | 151 | 0.0006 | 1.0 | 1.0 | 1.0 | 1.0 |
| 0.0481 | 2.0 | 302 | 0.0024 | 0.9992 | 0.9997 | 0.9995 | 0.9996 |
| 0.0414 | 3.0 | 453 | 0.0055 | 0.9985 | 0.9994 | 0.9989 | 0.9992 |
Framework versions
- Transformers 4.44.0
- Pytorch 2.3.1+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Aug 10, 2024
- Updated
- Aug 10, 2024