---
library_name: transformers
language:
- ur
base_model: cxfajar197/urdu-ocr
tags:
- generated_from_trainer
model-index:
- name: trocr for Urdu
  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 for Urdu

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:
- Loss: 1.8947
- Cer: 0.2676

## 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: 1
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.762         | 0.3188 | 1000 | 2.0288          | 0.2936 |
| 0.6622        | 0.6376 | 2000 | 2.0111          | 0.2791 |
| 0.5878        | 0.9563 | 3000 | 1.8947          | 0.2676 |


### Framework versions

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