transformers safetensors vision-encoder-decoder generated_from_trainer dataset:imagefolder base_model:philschmid/donut-base-sroie license:mit endpoints_compatible region:us
---
license: mit
base_model: philschmid/donut-base-sroie
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-stnk-v5_1-left-sroie-based
  results: []
---

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# donut-stnk-v5_1-left-sroie-based

This model is a fine-tuned version of [philschmid/donut-base-sroie](https://huggingface.co/philschmid/donut-base-sroie) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.0801

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.2063        | 1.0   | 224  | 0.0979          |
| 0.1059        | 2.0   | 448  | 0.0835          |
| 0.0698        | 3.0   | 672  | 0.0801          |
| 0.0445        | 4.0   | 896  | 0.0817          |
| 0.0376        | 5.0   | 1120 | 0.0848          |
| 0.0224        | 6.0   | 1344 | 0.0951          |


### Framework versions

- Transformers 4.37.2
- Pytorch 1.13.1+cu117
- Datasets 2.16.1
- Tokenizers 0.15.1
