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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: detr-5000-400-finetuned-table-detector
results: []
---
<!-- 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. -->
# detr-5000-400-finetuned-table-detector
This model is a fine-tuned version of [Benito/DeTr-TableDetection-5000-images](https://huggingface.co/Benito/DeTr-TableDetection-5000-images) on the None dataset.
## Model description
More information needed
## Intended uses & limitations
More information needed
## Training and evaluation data
Used the data from the OxML 2023 kaggle competition on Table Detector : https://www.kaggle.com/competitions/oxml-2023-x-ml-cases-table-detector/overview
## Training procedure
### Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 1e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 10
### Training results
### Framework versions
- Transformers 4.29.2
- Pytorch 2.0.0+cpu
- Datasets 2.1.0
- Tokenizers 0.13.3
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