---
base_model: cxfajar197/urdu-ocr
language:
- ur
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: trocr
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# trocr

This model is a fine-tuned version of [cxfajar197/urdu-ocr](https://huggingface.co/cxfajar197/urdu-ocr) on an unknown dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.8610
- eval_cer: 0.2585
- eval_runtime: 30.7583
- eval_samples_per_second: 3.251
- eval_steps_per_second: 0.228
- epoch: 1.9127
- step: 6000

## 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: 16
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2
- mixed_precision_training: Native AMP

### Framework versions

- Transformers 4.45.1
- Pytorch 2.4.0
- Datasets 3.0.1
- Tokenizers 0.20.0