---
tags:
- generated_from_trainer
base_model: microsoft/trocr-small-handwritten
model-index:
- name: ocr-pemilu
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
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# ocr-pemilu

This model is a fine-tuned version of [microsoft/trocr-small-handwritten](https://huggingface.co/microsoft/trocr-small-handwritten) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 9.2413

## 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
- num_epochs: 3

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 2.2183        | 1.0   | 1860 | 9.2413          |
| 1.8633        | 2.0   | 3720 | 9.5521          |
| 1.5612        | 3.0   | 5580 | 11.4981         |


### Framework versions

- Transformers 4.41.2
- Pytorch 2.1.2
- Datasets 2.19.2
- Tokenizers 0.19.1