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---
base_model: squantumengine/donut-stnk-v3_5_left
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-stnk-v5_2-left
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-stnk-v5_2-left
This model is a fine-tuned version of [squantumengine/donut-stnk-v3_5_left](https://huggingface.co/squantumengine/donut-stnk-v3_5_left) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1520
## 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: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1579 | 1.0 | 134 | 0.1520 |
| 0.1036 | 2.0 | 268 | 0.1597 |
| 0.0451 | 3.0 | 402 | 0.1700 |
| 0.0489 | 4.0 | 536 | 0.1753 |
### Framework versions
- Transformers 4.37.2
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.1
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