---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/nougat-base
tags:
- generated_from_trainer
model-index:
- name: _Nougat_MixGerEng_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_MixGerEng_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: 1.2944

## 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 |
|:-------------:|:------:|:----:|:---------------:|
| 7.7857        | 1.0    | 84   | 1.2320          |
| 5.7315        | 2.0    | 168  | 1.0987          |
| 4.6512        | 3.0    | 252  | 1.0728          |
| 3.894         | 4.0    | 336  | 1.0901          |
| 3.8545        | 5.0    | 420  | 1.0915          |
| 2.9066        | 6.0    | 504  | 1.1346          |
| 2.3597        | 7.0    | 588  | 1.1675          |
| 1.9387        | 8.0    | 672  | 1.1842          |
| 1.7872        | 9.0    | 756  | 1.2136          |
| 1.3412        | 10.0   | 840  | 1.2311          |
| 1.3814        | 11.0   | 924  | 1.2475          |
| 1.047         | 12.0   | 1008 | 1.2613          |
| 0.9478        | 13.0   | 1092 | 1.2710          |
| 1.1476        | 14.0   | 1176 | 1.2813          |
| 0.7796        | 15.0   | 1260 | 1.2862          |
| 0.9022        | 16.0   | 1344 | 1.2898          |
| 0.9488        | 17.0   | 1428 | 1.2923          |
| 0.7874        | 18.0   | 1512 | 1.2943          |
| 0.8132        | 19.0   | 1596 | 1.2941          |
| 0.8164        | 19.768 | 1660 | 1.2944          |


### Framework versions

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