README.md

metadata

base_model: >-
  nsugianto/detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session2
tags:
  - generated_from_trainer
model-index:
  - name: detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session3
    results: []

detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session3

This model is a fine-tuned version of nsugianto/detr-resnet50_finetuned_lstabledetv1s9_lsdocelementdetv1type3_session2 on an unknown dataset.

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: 1e-06
• 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: 100
• mixed_precision_training: Native AMP

Training results

Framework versions

• Transformers 4.39.3
• Pytorch 2.0.1
• Datasets 2.18.0
• Tokenizers 0.15.2