---
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-vishnu_hwr3
  results: []
---

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# donut-vishnu_hwr3

This model was trained from scratch on the imagefolder dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1246

## 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 |
|:-------------:|:-----:|:----:|:---------------:|
| 0.0967        | 1.0   | 185  | 0.1919          |
| 0.1843        | 2.0   | 370  | 0.1281          |
| 0.0893        | 3.0   | 555  | 0.1277          |
| 0.1123        | 4.0   | 740  | 0.1331          |
| 0.0158        | 5.0   | 925  | 0.1111          |
| 0.0101        | 6.0   | 1110 | 0.1287          |
| 0.0205        | 7.0   | 1295 | 0.1201          |
| 0.0055        | 8.0   | 1480 | 0.1291          |
| 0.0096        | 9.0   | 1665 | 0.1231          |
| 0.016         | 10.0  | 1850 | 0.1246          |


### Framework versions

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