---
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base-sroie
  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. -->

# donut-base-sroie

This model was trained from scratch on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 5.7016

## 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: 2
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 25

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 9.5672        | 1.0   | 3    | 8.6900          |
| 9.2165        | 2.0   | 6    | 8.1679          |
| 8.6254        | 3.0   | 9    | 8.8826          |
| 8.5961        | 4.0   | 12   | 7.9094          |
| 8.0975        | 5.0   | 15   | 7.6390          |
| 8.0688        | 6.0   | 18   | 7.3710          |
| 7.8179        | 7.0   | 21   | 7.1756          |
| 7.4056        | 8.0   | 24   | 7.1199          |
| 7.2254        | 9.0   | 27   | 6.8964          |
| 7.1395        | 10.0  | 30   | 6.8406          |
| 7.2451        | 11.0  | 33   | 6.5694          |
| 6.8052        | 12.0  | 36   | 6.7802          |
| 6.8587        | 13.0  | 39   | 6.3983          |
| 6.6803        | 14.0  | 42   | 6.3614          |
| 6.5832        | 15.0  | 45   | 6.2045          |
| 6.3016        | 16.0  | 48   | 6.3187          |
| 6.3266        | 17.0  | 51   | 6.1394          |
| 6.2154        | 18.0  | 54   | 5.9751          |
| 6.0545        | 19.0  | 57   | 5.9170          |
| 6.0753        | 20.0  | 60   | 5.9828          |
| 6.0034        | 21.0  | 63   | 5.9600          |
| 6.0545        | 22.0  | 66   | 5.8052          |
| 5.8055        | 23.0  | 69   | 5.7358          |
| 5.7705        | 24.0  | 72   | 5.6998          |
| 5.8007        | 25.0  | 75   | 5.7016          |


### Framework versions

- Transformers 4.34.0
- Pytorch 2.0.1+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1