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---
library_name: transformers
tags:
- generated_from_trainer
model-index:
- name: DonutInvoiceCzechTrainer
results: []
---
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
# DonutInvoiceCzechTrainer
This model was trained from scratch on the None dataset.
It achieves the following results on the evaluation set:
- Loss: 0.1206
## 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: 2e-05
- train_batch_size: 5
- eval_batch_size: 1
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 10
- mixed_precision_training: Native AMP
### Training results
| Training Loss | Epoch | Step | Validation Loss |
|:-------------:|:-----:|:----:|:---------------:|
| 0.1395 | 1.0 | 120 | 0.1531 |
| 0.0867 | 2.0 | 240 | 0.1380 |
| 0.0686 | 3.0 | 360 | 0.1360 |
| 0.0543 | 4.0 | 480 | 0.1341 |
| 0.0464 | 5.0 | 600 | 0.1307 |
| 0.0336 | 6.0 | 720 | 0.1286 |
| 0.0287 | 7.0 | 840 | 0.1221 |
| 0.0229 | 8.0 | 960 | 0.1235 |
| 0.0223 | 9.0 | 1080 | 0.1221 |
| 0.0191 | 10.0 | 1200 | 0.1206 |
### Framework versions
- Transformers 4.57.3
- Pytorch 2.9.0+cu126
- Datasets 4.0.0
- Tokenizers 0.22.1
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