donut-base-sroie
This model is a fine-tuned version of Akajackson/donut_rus on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.2106
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: 32
- eval_batch_size: 32
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss |
|---|---|---|---|
| 3.3783 | 1.0 | 85 | 0.6386 |
| 0.5799 | 2.0 | 170 | 0.3075 |
| 0.2669 | 3.0 | 255 | 0.2106 |
Framework versions
- Transformers 4.41.1
- Pytorch 2.3.0+cu121
- Datasets 2.19.1
- Tokenizers 0.19.1
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Model tree for olesya2096/donut-base-sroie
Base model
Akajackson/donut_rus