metadata
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: []
DALPA_GER_3kSource_2kTarget
This model is a fine-tuned version of 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