_Nougat_Base_Edv_En_De_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: 1700.0442
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: 10
- total_train_batch_size: 80
- 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 |
|---|---|---|---|
| No log | 1.0 | 42 | 1.9061 |
| 22.7823 | 2.0 | 84 | 7.8791 |
| 68.1139 | 3.0 | 126 | 88.5974 |
| 829.2286 | 4.0 | 168 | 220.7463 |
| 2312.5455 | 5.0 | 210 | 283.3206 |
| 3190.685 | 6.0 | 252 | 408.0313 |
| 3190.685 | 7.0 | 294 | 772.9317 |
| 5969.3912 | 8.0 | 336 | 1039.8457 |
| 9675.3725 | 9.0 | 378 | 1248.5635 |
| 12223.905 | 10.0 | 420 | 1398.6156 |
| 14010.6213 | 11.0 | 462 | 1496.1117 |
| 15064.8962 | 12.0 | 504 | 1564.3519 |
| 15064.8962 | 13.0 | 546 | 1613.9442 |
| 15790.6938 | 14.0 | 588 | 1647.9702 |
| 16285.0438 | 15.0 | 630 | 1669.3680 |
| 16505.9075 | 16.0 | 672 | 1684.0092 |
| 16716.44 | 17.0 | 714 | 1693.2450 |
| 16915.6488 | 18.0 | 756 | 1698.5161 |
| 16915.6488 | 19.0 | 798 | 1699.9650 |
| 16804.3288 | 19.5251 | 820 | 1700.0442 |
Framework versions
- Transformers 4.47.1
- Pytorch 2.5.1+cu121
- Tokenizers 0.21.0
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Base model
facebook/nougat-base