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# donut-vishnu_hwr003

This model is a fine-tuned version of [naver-clova-ix/donut-base](https://huggingface.co/naver-clova-ix/donut-base) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.2159

## 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: 15
- mixed_precision_training: Native AMP

### Training results

| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.7616        | 1.0   | 185  | 0.4573          |
| 0.0684        | 2.0   | 370  | 0.2453          |
| 0.0994        | 3.0   | 555  | 0.2147          |
| 0.0396        | 4.0   | 740  | 0.1954          |
| 0.0338        | 5.0   | 925  | 0.2028          |
| 0.0411        | 6.0   | 1110 | 0.2074          |
| 0.0626        | 7.0   | 1295 | 0.2414          |
| 0.0175        | 8.0   | 1480 | 0.2411          |
| 0.0457        | 9.0   | 1665 | 0.2159          |


### Framework versions

- Transformers 4.35.0
- Pytorch 2.1.0+cu118
- Datasets 2.14.6
- Tokenizers 0.14.1

{"license": "mit", "tags": ["generated_from_trainer"], "datasets": ["imagefolder"], "base_model": "naver-clova-ix/donut-base", "model-index": [{"name": "donut-vishnu_hwr003", "results": []}]}
transformers tensorboard safetensors vision-encoder-decoder generated_from_trainer dataset:imagefolder base_model:naver-clova-ix/donut-base license:mit endpoints_compatible region:us