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donut-base-resume
alakachr/donut-base-resume
donut-base-resume is a machine learning model from alakachr. Use it for the machine learning task on the model card, and read the license before you ship it in a product. The card lists the license as mit.
should probably proofread and complete it, then remove this comment. --
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.safetensors806 MB · 99%
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Base models
Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
donut-base-resume
This model is a fine-tuned version of naver-clova-ix/donut-base-finetuned-cord-v2 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: 2e-05
- train_batch_size: 1
- 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 4.44.0
- Pytorch 1.13.1+cu116
- Datasets 2.20.0
- Tokenizers 0.19.1
- Type
- vision-encoder-decoder
- License
- mit
- Created
- Aug 8, 2024
- Updated
- Aug 8, 2024