SotaChambers
/

donut-base-sroie

Image-Text-to-Text

vision-encoder-decoder

Generated from Trainer

Inference Endpoints

Model card Files Files and versions Metrics Training metrics Community

You need to agree to share your contact information to access this model

This repository is publicly accessible, but you have to accept the conditions to access its files and content.

Log in or Sign Up to review the conditions and access this model content.

donut-base-sroie

This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder 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: 2e-05
train_batch_size: 2
eval_batch_size: 8
seed: 42
optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.41.2
Pytorch 2.3.1+cu121
Datasets 2.20.0
Tokenizers 0.19.1

Downloads last month: 0

Safetensors

Model size

202M params

Tensor type

I64

·

F32

·

Inference API

Image-Text-to-Text

Inference API (serverless) does not yet support transformers models for this pipeline type.

Model tree for SotaChambers/donut-base-sroie

Base model

naver-clova-ix/donut-base

Finetuned

(367)

this model

Evaluation results

Metadata error: specify a dataset to view leaderboard