---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/nougat-base
tags:
- generated_from_trainer
model-index:
- name: _Nougat_Ger_01
  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. -->

# _Nougat_Ger_01

This model is a fine-tuned version of [facebook/nougat-base](https://huggingface.co/facebook/nougat-base) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.3141

## 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: 0.0001
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- gradient_accumulation_steps: 6
- total_train_batch_size: 48
- optimizer: Use adamw_torch with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 20

### Training results

| Training Loss | Epoch  | Step | Validation Loss |
|:-------------:|:------:|:----:|:---------------:|
| 7.8593        | 1.0    | 84   | 1.3509          |
| 6.4407        | 2.0    | 168  | 1.2018          |
| 5.3764        | 3.0    | 252  | 1.1687          |
| 4.8124        | 4.0    | 336  | 1.1438          |
| 4.2572        | 5.0    | 420  | 1.1438          |
| 4.0467        | 6.0    | 504  | 1.1760          |
| 3.4963        | 7.0    | 588  | 1.1957          |
| 3.0197        | 8.0    | 672  | 1.2227          |
| 2.7683        | 9.0    | 756  | 1.2486          |
| 2.3057        | 10.0   | 840  | 1.2624          |
| 2.486         | 11.0   | 924  | 1.2799          |
| 2.0421        | 12.0   | 1008 | 1.2846          |
| 2.0073        | 13.0   | 1092 | 1.2923          |
| 1.9756        | 14.0   | 1176 | 1.3006          |
| 1.8417        | 15.0   | 1260 | 1.3083          |
| 1.8013        | 16.0   | 1344 | 1.3110          |
| 1.6453        | 17.0   | 1428 | 1.3132          |
| 1.7862        | 18.0   | 1512 | 1.3141          |
| 1.7968        | 19.0   | 1596 | 1.3137          |
| 1.7583        | 19.768 | 1660 | 1.3141          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.3.0
- Tokenizers 0.21.0