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APNR-TA20Epoch – AI Model by Zekrompogu | AlphaNeural AI
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Zekrompogu
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APNR-TA20Epoch
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transformers
tensorboard
safetensors
vision-encoder-decoder
image-to-text
generated_from_trainer
microsoft/trocr-base-str
finetune
endpoints_compatible
us
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microsoft/trocr-base-str
This model is a fine-tuned version of
microsoft/trocr-base-str
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.2982
Cer: 0.1357
Wer: 0.5406
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: 20
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
