---
license: mit
tags:
- generated_from_trainer
datasets:
- imagefolder
model-index:
- name: donut-base-my_model_1_new_1
  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-base-my_model_1_new_1

This model is a fine-tuned version of [Manab/donut-base-my_model_1_new_1](https://huggingface.co/Manab/donut-base-my_model_1_new_1) on the imagefolder dataset.
It achieves the following results on the evaluation set:
- eval_loss: 1.8017
- eval_runtime: 42.3382
- eval_samples_per_second: 0.685
- eval_steps_per_second: 0.094
- epoch: 0.96
- step: 250

## 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: 1
- eval_batch_size: 8
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3

### Framework versions

- Transformers 4.31.0.dev0
- Pytorch 2.0.1+cu118
- Datasets 2.13.1
- Tokenizers 0.13.3