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# donut_employee_info_v1

This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1224

## 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

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 1.1485        | 1.25  | 50   | 0.6847          |
| 0.4124        | 2.5   | 100  | 0.2854          |
| 0.2662        | 3.75  | 150  | 0.1829          |
| 0.1875        | 5.0   | 200  | 0.1485          |
| 0.152         | 6.25  | 250  | 0.1326          |
| 0.1194        | 7.5   | 300  | 0.1360          |
| 0.1045        | 8.75  | 350  | 0.1255          |
| 0.0684        | 10.0  | 400  | 0.1224          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_trainer"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut_employee_info_v1", "results": []}]}
transformers tensorboard safetensors vision-encoder-decoder generated_from_trainer base_model:naver-clova-ix/donut-base license:mit endpoints_compatible region:us