detr-5000-400-finetuned-table-detector

This model is a fine-tuned version of 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