metadata
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: []
_Nougat_Ger_01
This model is a fine-tuned version of 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