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donut-base-finetuned-classification – AI Model by LLMTestSaurav | AlphaNeural AI

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LLMTestSaurav/
donut-base-finetuned-classification

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donut-base-finetuned-classification

This model is a fine-tuned version of LLMTestSaurav/donut-base-finetuned-classification 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: 30000
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.56.1
Pytorch 2.11.0+cu128
Datasets 4.0.0
Tokenizers 0.22.2