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fine-tuned-TrOCR-Math – AI Model by bot343565 | AlphaNeural AI
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fine-tuned-TrOCR-Math
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transformers
tensorboard
safetensors
vision-encoder-decoder
image-to-text
generated_from_trainer
fhswf/TrOCR_Math_handwritten
finetune
afl-3.0
endpoints_compatible
us
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fine-tuned-TrOCR-Math
This model is a fine-tuned version of
fhswf/TrOCR_Math_handwritten
on the None 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: 5e-05
train_batch_size: 2
eval_batch_size: 8
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: 15
mixed_precision_training: Native AMP
Training results
Framework versions
Transformers 4.52.4
Pytorch 2.6.0+cu124
Datasets 2.14.4
Tokenizers 0.21.1