---
tags:
- generated_from_trainer
model-index:
- name: trocr-small-printed_for_my_license_plates
  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-small-printed_for_my_license_plates

This model is a fine-tuned version of [microsoft/trocr-small-printed](https://huggingface.co/microsoft/trocr-small-printed) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0645
- Cer: 0.0032

## 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: 5

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 13.6251       | 1.0   | 82   | 0.4981          | 0.0560 |
| 13.6251       | 2.0   | 164  | 0.3409          | 0.0210 |
| 13.6251       | 3.0   | 246  | 0.0863          | 0.0095 |
| 13.6251       | 4.0   | 328  | 0.0800          | 0.0038 |
| 13.6251       | 5.0   | 410  | 0.0645          | 0.0032 |


### Framework versions

- Transformers 4.30.2
- Pytorch 2.0.0
- Datasets 2.1.0
- Tokenizers 0.13.3