---
base_model: kavg/TrOCR-SIN-DeiT
tags:
- generated_from_trainer
model-index:
- name: TrOCR_Printed_Sinahala_1
  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_Printed_Sinahala_1

This model is a fine-tuned version of [kavg/TrOCR-SIN-DeiT](https://huggingface.co/kavg/TrOCR-SIN-DeiT) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.6949
- Cer: 0.1689

## 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: 4
- eval_batch_size: 4
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- training_steps: 1000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 0.0989        | 0.0444 | 100  | 1.0041          | 0.1787 |
| 0.1265        | 0.0889 | 200  | 0.7479          | 0.2270 |
| 0.0302        | 0.1333 | 300  | 0.9396          | 0.1863 |
| 0.0483        | 0.1778 | 400  | 0.6949          | 0.1689 |
| 0.0637        | 0.2222 | 500  | 0.6022          | 0.1816 |
| 0.0726        | 0.2667 | 600  | 0.6801          | 0.2083 |
| 0.0169        | 0.3111 | 700  | 0.5828          | 0.1721 |
| 0.0084        | 0.3556 | 800  | 0.5437          | 0.1750 |
| 0.0239        | 0.4    | 900  | 0.5451          | 0.1744 |
| 0.0215        | 0.4444 | 1000 | 0.5470          | 0.1717 |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.3.0+cu121
- Datasets 2.20.0
- Tokenizers 0.19.1