---
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
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# 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