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donut-base-finetuned-ind-cod-tza-rwa – AI Model by LLMTestSaurav | AlphaNeural AI

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LLMTestSaurav/
donut-base-finetuned-ind-cod-tza-rwa

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vision-encoder-decoder

generated_from_trainer

naver-clova-ix/donut-base

endpoints_compatible

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donut-base-finetuned-ind-cod-tza-rwa

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: 1
eval_batch_size: 1
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
training_steps: 10000
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.57.2
Pytorch 2.9.0+cu126
Datasets 4.0.0
Tokenizers 0.22.1