_Nougat_Ger_mix_02
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: 1.9079
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 |
|---|---|---|---|
| 13.7366 | 1.0 | 84 | 2.1463 |
| 11.4853 | 2.0 | 168 | 1.9321 |
| 10.0786 | 3.0 | 252 | 1.8520 |
| 9.0898 | 4.0 | 336 | 1.8283 |
| 8.0068 | 5.0 | 420 | 1.8344 |
| 8.0881 | 6.0 | 504 | 1.8405 |
| 7.4294 | 7.0 | 588 | 1.8521 |
| 7.0105 | 8.0 | 672 | 1.8961 |
| 6.5681 | 9.0 | 756 | 1.9079 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Datasets 3.5.0
- Tokenizers 0.21.0
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Base model
facebook/nougat-base