---
tags:
- generated_from_trainer
model-index:
- name: TrOCR-SIN(DeiT)
  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-SIN(DeiT)

This model is a fine-tuned version of [](https://huggingface.co/) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.4335
- Cer: 0.1445

## 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
- training_steps: 75000
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step  | Cer    | Validation Loss |
|:-------------:|:-----:|:-----:|:------:|:---------------:|
| 1.3019        | 1.78  | 5000  | 0.6416 | 1.7769          |
| 0.6387        | 3.55  | 10000 | 0.4048 | 0.8457          |
| 0.3402        | 5.33  | 15000 | 0.2808 | 0.6898          |
| 0.1332        | 7.11  | 20000 | 0.2377 | 0.5765          |
| 0.1141        | 8.89  | 25000 | 0.2223 | 0.4460          |
| 0.0481        | 10.66 | 30000 | 0.1868 | 0.4128          |
| 0.0391        | 12.44 | 35000 | 0.1563 | 0.4172          |
| 0.0357        | 14.22 | 40000 | 0.1981 | 0.4756          |
| 0.0215        | 16.0  | 45000 | 0.1983 | 0.5838          |
| 0.0129        | 17.77 | 50000 | 0.1757 | 0.5511          |
| 0.0087        | 19.55 | 55000 | 0.1699 | 0.5568          |
| 0.003         | 21.33 | 60000 | 0.1648 | 0.4532          |
| 0.0042        | 23.11 | 65000 | 0.1582 | 0.4650          |
| 0.0066        | 24.88 | 70000 | 0.1654 | 0.4740          |
| 0.0014        | 26.66 | 75000 | 0.1448 | 0.4337          |


### Framework versions

- Transformers 4.35.2
- Pytorch 2.1.0+cu121
- Datasets 2.18.0
- Tokenizers 0.15.1