aravind-selvam/donut_finetuned_chart

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donutfinetunedchart

This model is a fine-tuned version of naver-clova-ix/donut-base on an chart images dataset. It achieves the following results on the evaluation set:

• —Loss: 0.4957
• —Cer: 0.2318

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: 2.3e-05
• —trainbatchsize: 8
• —evalbatchsize: 8
• —seed: 42
• —gradientaccumulationsteps: 3
• —totaltrainbatch_size: 24
• —optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
• —lrschedulertype: linear
• —num_epochs: 4
• —mixedprecisiontraining: Native AMP

Training results

Framework versions

• —Transformers 4.28.1
• —Pytorch 2.0.0+cu118
• —Datasets 2.11.0
• —Tokenizers 0.13.3