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---
base_model: squantumengine/donut-base-stnk-no-address-v2
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base-stnk-no-address-v3
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-stnk-no-address-v3
This model is a fine-tuned version of [squantumengine/donut-base-stnk-no-address-v2](https://huggingface.co/squantumengine/donut-base-stnk-no-address-v2) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2116
## 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: 5
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:-----:|:---------------:|
| 0.4954 | 1.0 | 3253 | 0.3898 |
| 0.3524 | 2.0 | 6506 | 0.2783 |
| 0.2498 | 3.0 | 9759 | 0.2342 |
| 0.1684 | 4.0 | 13012 | 0.2177 |
| 0.1442 | 5.0 | 16265 | 0.2116 |
### Framework versions
- Transformers 4.31.0
- Pytorch 1.13.1+cu117
- Datasets 2.14.0
- Tokenizers 0.13.3
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