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trocr-devanagari – AI Model by singtan | AlphaNeural AI

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singtan/
trocr-devanagari

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vision-encoder-decoder

generated_from_trainer

microsoft/trocr-base-handwritten

endpoints_compatible

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trocr-devanagari

This model is a fine-tuned version of microsoft/trocr-base-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: 0.0005
train_batch_size: 64
eval_batch_size: 32
seed: 42
gradient_accumulation_steps: 2
total_train_batch_size: 128
optimizer: Use OptimizerNames.ADAFACTOR and the args are: No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Framework versions

Transformers 4.55.0
Pytorch 2.8.0+cu128
Datasets 4.0.0
Tokenizers 0.21.2