---
base_model: ShuyiGuo/IS557_TrOCR_AllData
tags:
- generated_from_trainer
model-index:
- name: IS557_TrOCR_dutch
  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. -->

# IS557_TrOCR_dutch

This model is a fine-tuned version of [ShuyiGuo/IS557_TrOCR_AllData](https://huggingface.co/ShuyiGuo/IS557_TrOCR_AllData) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0843
- Cer: 0.1661

## 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: 3.0
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch  | Step | Validation Loss | Cer    |
|:-------------:|:------:|:----:|:---------------:|:------:|
| 2.5052        | 0.3436 | 200  | 2.4755          | 0.4603 |
| 2.229         | 0.6873 | 400  | 2.0362          | 0.3556 |
| 1.4698        | 1.0309 | 600  | 1.6708          | 0.2893 |
| 1.1727        | 1.3746 | 800  | 1.4876          | 0.2616 |
| 1.3044        | 1.7182 | 1000 | 1.3246          | 0.2158 |
| 0.7114        | 2.0619 | 1200 | 1.1953          | 0.1867 |
| 0.6231        | 2.4055 | 1400 | 1.1291          | 0.1781 |
| 0.5886        | 2.7491 | 1600 | 1.0843          | 0.1661 |


### Framework versions

- Transformers 4.40.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1