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donut-base-sroie – AI Model by Cyber-Zhaba | AlphaNeural AI
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Cyber-Zhaba
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donut-base-sroie
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transformers
tensorboard
safetensors
vision-encoder-decoder
image-text-to-text
generated_from_trainer
imagefolder
Cyber-Zhaba/donut-base-sroie
finetune
mit
endpoints_compatible
us
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donut-base-sroie
This model is a fine-tuned version of
Cyber-Zhaba/donut-base-sroie
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: 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
num_epochs: 100
mixed_precision_training: Native AMP
Framework versions
Transformers 4.56.2
Pytorch 2.8.0+cu128
Datasets 4.1.1
Tokenizers 0.22.1
