metadata
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: []
_Nougat_MixGerEng_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: 1.2944
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