transformers safetensors vision-encoder-decoder generated_from_trainer base_model:microsoft/trocr-base-printed endpoints_compatible region:us
---
base_model: microsoft/trocr-base-printed
tags:
- generated_from_trainer
model-index:
- name: trocr-base-printed_license_plates_ocr
  results: []
---

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# trocr-base-printed_license_plates_ocr

This model is a fine-tuned version of [microsoft/trocr-base-printed](https://huggingface.co/microsoft/trocr-base-printed) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1479
- Cer: 0.0343

## 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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 2

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.356         | 1.0   | 500  | 0.1934          | 0.041  |
| 0.1558        | 2.0   | 1000 | 0.1479          | 0.0343 |


### Framework versions

- Transformers 4.37.2
- Pytorch 2.0.0+cu117
- Datasets 2.17.0
- Tokenizers 0.15.2
