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APNR-TA-USK1 – AI Model by Zekrompogu | AlphaNeural AI

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Zekrompogu/
APNR-TA-USK1

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vision-encoder-decoder

generated_from_trainer

microsoft/trocr-base-str

endpoints_compatible

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microsoft/trocr-base-str

This model is a fine-tuned version of microsoft/trocr-base-str 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: 1e-05
train_batch_size: 16
eval_batch_size: 16
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 25
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.17.0
Tokenizers 0.21.1