---
library_name: transformers
license: cc-by-nc-4.0
base_model: facebook/nougat-base
tags:
- generated_from_trainer
model-index:
- name: DALPA_GER_3kSource_2kTarget
  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. -->

# DALPA_GER_3kSource_2kTarget

This model is a fine-tuned version of [facebook/nougat-base](https://huggingface.co/facebook/nougat-base) on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 1.0499

## 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: 15

### Training results

| Training Loss | Epoch   | Step | Validation Loss |
|:-------------:|:-------:|:----:|:---------------:|
| 8.6834        | 1.0     | 88   | 1.5971          |
| 6.9389        | 2.0     | 176  | 1.3751          |
| 5.5417        | 3.0     | 264  | 1.2406          |
| 4.8634        | 4.0     | 352  | 1.1578          |
| 4.1343        | 5.0     | 440  | 1.1027          |
| 4.245         | 6.0     | 528  | 1.0735          |
| 4.0404        | 7.0     | 616  | 1.0565          |
| 3.9709        | 8.0     | 704  | 1.0548          |
| 3.709         | 9.0     | 792  | 1.0523          |
| 3.8677        | 10.0    | 880  | 1.0506          |
| 3.66          | 11.0    | 968  | 1.0503          |
| 3.7483        | 12.0    | 1056 | 1.0500          |
| 3.903         | 13.0    | 1144 | 1.0503          |
| 3.8593        | 14.0    | 1232 | 1.0499          |
| 3.9133        | 14.8343 | 1305 | 1.0499          |


### Framework versions

- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 4.1.0
- Tokenizers 0.21.0