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---
license: mit
base_model: naver-clova-ix/donut-base
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base2-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-base2-sroie
This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3234
## 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: 20
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 4.1171 | 1.0 | 73 | 3.5216 |
| 2.6172 | 2.0 | 146 | 1.8420 |
| 2.1784 | 3.0 | 219 | 1.3622 |
| 1.0188 | 4.0 | 292 | 1.2344 |
| 0.8844 | 5.0 | 365 | 1.2448 |
| 0.4622 | 6.0 | 438 | 1.1840 |
| 0.8648 | 7.0 | 511 | 1.2136 |
| 0.4117 | 8.0 | 584 | 1.2452 |
| 0.2687 | 9.0 | 657 | 1.2622 |
| 0.4633 | 10.0 | 730 | 1.2959 |
| 0.4606 | 11.0 | 803 | 1.3234 |
### Framework versions
- Transformers 4.34.1
- Pytorch 2.1.0+cu118
- Datasets 2.14.5
- Tokenizers 0.14.1
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