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# trocr-base-printed_license_plates_ocr_timestamp

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: 0.0631
- Cer: 0.01

## 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: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 10.4185       | 1.0   | 315  | 0.3811          | 0.0792 |
| 0.5419        | 2.0   | 630  | 0.1693          | 0.0311 |
| 0.5419        | 3.0   | 945  | 0.0963          | 0.0134 |
| 0.0944        | 4.0   | 1260 | 0.0631          | 0.01   |


### Framework versions

- Transformers 4.36.2
- Pytorch 2.1.0+cu121
- Datasets 2.16.1
- Tokenizers 0.15.0

{"tags": ["generated_from_trainer"], "base_model": "microsoft/trocr-base-printed", "model-index": [{"name": "trocr-base-printed_license_plates_ocr_timestamp", "results": []}]}
transformers tensorboard safetensors vision-encoder-decoder generated_from_trainer base_model:microsoft/trocr-base-printed endpoints_compatible region:us