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nehaMe123/
trocr-handwriting-small-fast

Name: trocr-handwriting-small-fast
Availability: InStock

transformers

safetensors

vision-encoder-decoder

image-text-to-text

generated_from_trainer

microsoft/trocr-small-handwritten

finetune

endpoints_compatible

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trocr-handwriting-small-fast

This model is a fine-tuned version of microsoft/trocr-small-handwritten on an unknown dataset. It achieves the following results on the evaluation set:

Loss: 0.2459
Cer: 0.0506

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: 4e-05
train_batch_size: 32
eval_batch_size: 32
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
num_epochs: 3
mixed_precision_training: Native AMP

Training results

Training Loss	Epoch	Step	Validation Loss	Cer
0.305	0.9276	1000	0.3632	0.0828
0.1766	1.8553	2000	0.2989	0.0597
0.1133	2.7829	3000	0.2459	0.0506

Framework versions

Transformers 4.57.1
Pytorch 2.8.0+cu126
Datasets 4.4.1
Tokenizers 0.22.1

nehaMe123/trocr-handwriting-small-fast

trocr-handwriting-small-fast

Model description

Intended uses & limitations

Training and evaluation data

Training procedure

Training hyperparameters

Training results

Framework versions

nehaMe123/
trocr-handwriting-small-fast