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layoutlmv3-ap7_7_stitched_16_batch_2e5
ikiransuryavanshi/layoutlmv3-ap7_7_stitched_16_batch_2e5
layoutlmv3-ap7_7_stitched_16_batch_2e5 is a token classification model from ikiransuryavanshi. 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
- Mar 21, 2025
- Updated
- Mar 21, 2025
- SHA
- 0f520205
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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-ap7_7_stitched_16_batch_2e5
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: 0.0128
- Precision: 0.6897
- Recall: 0.8333
- F1: 0.7547
- Accuracy: 0.9977
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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- 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 |
|---|---|---|---|---|---|---|---|
| 0.3926 | 50.0 | 250 | 0.0323 | 0.3929 | 0.4583 | 0.4231 | 0.9923 |
| 0.0112 | 100.0 | 500 | 0.0158 | 0.6667 | 0.75 | 0.7059 | 0.9967 |
| 0.0038 | 150.0 | 750 | 0.0128 | 0.6897 | 0.8333 | 0.7547 | 0.9977 |
| 0.0024 | 200.0 | 1000 | 0.0127 | 0.6897 | 0.8333 | 0.7547 | 0.9977 |
Framework versions
- Transformers 4.49.0
- Pytorch 2.6.0+cu124
- Datasets 3.4.1
- Tokenizers 0.21.1
- Task
- Token Classification
- Library
- transformers
- Type
- layoutlmv3
- License
- cc-by-nc-sa-4.0
- Created
- Mar 21, 2025
- Updated
- Mar 21, 2025