---
base_model: microsoft/trocr-base-handwritten
tags:
- generated_from_trainer
model-index:
- name: license_plate_recognizer
  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. -->

[<img src="https://raw.githubusercontent.com/wandb/assets/main/wandb-github-badge-28.svg" alt="Visualize in Weights & Biases" width="200" height="32"/>](https://wandb.ai/pawankrgunjan/huggingface/runs/3caod3mu)
# license_plate_recognizer

This model is a fine-tuned version of [microsoft/trocr-base-handwritten](https://huggingface.co/microsoft/trocr-base-handwritten) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0098
- Cer: 0.0053

## 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: 2e-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: 20

### Training results

| Training Loss | Epoch | Step | Validation Loss | Cer    |
|:-------------:|:-----:|:----:|:---------------:|:------:|
| 0.1379        | 1.0   | 397  | 0.0408          | 0.0124 |
| 0.0817        | 2.0   | 794  | 0.0313          | 0.0093 |
| 0.0641        | 3.0   | 1191 | 0.0253          | 0.0089 |
| 0.0431        | 4.0   | 1588 | 0.0221          | 0.0089 |
| 0.0246        | 5.0   | 1985 | 0.0233          | 0.0067 |
| 0.0192        | 6.0   | 2382 | 0.0193          | 0.0053 |
| 0.0205        | 7.0   | 2779 | 0.0221          | 0.0062 |
| 0.0158        | 8.0   | 3176 | 0.0134          | 0.0062 |
| 0.0074        | 9.0   | 3573 | 0.0086          | 0.0040 |
| 0.0074        | 10.0  | 3970 | 0.0056          | 0.0027 |
| 0.0036        | 11.0  | 4367 | 0.0033          | 0.0018 |
| 0.0079        | 12.0  | 4764 | 0.0075          | 0.0049 |
| 0.002         | 13.0  | 5161 | 0.0039          | 0.0027 |
| 0.0004        | 14.0  | 5558 | 0.0028          | 0.0022 |
| 0.0001        | 15.0  | 5955 | 0.0039          | 0.0027 |
| 0.0001        | 16.0  | 6352 | 0.0047          | 0.0035 |
| 0.0011        | 17.0  | 6749 | 0.0041          | 0.0027 |
| 0.0001        | 18.0  | 7146 | 0.0053          | 0.0018 |
| 0.0001        | 19.0  | 7543 | 0.0047          | 0.0018 |
| 0.0001        | 20.0  | 7940 | 0.0047          | 0.0018 |


### Framework versions

- Transformers 4.42.3
- Pytorch 2.1.2
- Datasets 2.20.0
- Tokenizers 0.19.1