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---
base_model: squantumengine/donut-stnk-v3_5_left
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-stnk-v5_4-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_4-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: 0.1063
## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2035 | 1.0 | 206 | 0.1063 |
| 0.0864 | 2.0 | 412 | 0.1248 |
| 0.0667 | 3.0 | 618 | 0.1137 |
| 0.0366 | 4.0 | 824 | 0.1237 |
### Framework versions
- Transformers 4.37.2
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.1
|