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table-transformer-structure-recognition-v1.1-all-finetuned-v4
Hoixi/table-transformer-structure-recognition-v1.1-all-finetuned-v4
table-transformer-structure-recognition-v1.1-all-finetuned-v4 is a object detection model from Hoixi. Use it when you need objects located in an image. It is set up for transformers. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Object Detection
- Library
- transformers
- License
- mit
- Model type
- table-transformer
- Access
- Public
- Created
- Apr 14, 2025
- Updated
- Apr 15, 2025
- SHA
- 140b21fc
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. -->
table-transformer-structure-recognition-v1.1-all-finetuned-v4
This model is a fine-tuned version of microsoft/table-transformer-structure-recognition-v1.1-all on the tr-fin_table-dataset-v4 dataset. It achieves the following results on the evaluation set:
- Loss: 1.5814
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: 5e-06
- train_batch_size: 4
- eval_batch_size: 4
- 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
- training_steps: 1000
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 2.8161 | 12.5 | 50 | 1.8594 |
| 2.1356 | 25.0 | 100 | 1.8244 |
| 1.9666 | 37.5 | 150 | 1.7812 |
| 2.686 | 50.0 | 200 | 1.7117 |
| 1.8873 | 62.5 | 250 | 1.6662 |
| 2.0797 | 75.0 | 300 | 1.6360 |
| 2.2612 | 87.5 | 350 | 1.6419 |
| 1.954 | 100.0 | 400 | 1.6110 |
| 2.0358 | 112.5 | 450 | 1.6159 |
| 1.9712 | 125.0 | 500 | 1.6164 |
| 2.1658 | 137.5 | 550 | 1.6242 |
| 2.7702 | 150.0 | 600 | 1.6097 |
| 1.9429 | 162.5 | 650 | 1.6083 |
| 1.947 | 175.0 | 700 | 1.5989 |
| 2.0561 | 187.5 | 750 | 1.6029 |
| 2.0323 | 200.0 | 800 | 1.5877 |
| 2.0326 | 212.5 | 850 | 1.5870 |
| 1.7113 | 225.0 | 900 | 1.5835 |
| 1.6647 | 237.5 | 950 | 1.5811 |
| 2.2978 | 250.0 | 1000 | 1.5814 |
Framework versions
- Transformers 4.51.3
- Pytorch 2.6.0+cu126
- Datasets 3.5.0
- Tokenizers 0.21.0
- Task
- Object Detection
- Library
- transformers
- Type
- table-transformer
- License
- mit
- Created
- Apr 14, 2025
- Updated
- Apr 15, 2025