x_rotatedv2
This model is a fine-tuned version of naver-clova-ix/donut-base on the imagefolder dataset. It achieves the following results on the evaluation set:
- Loss: 0.1377
- Cer: 0.0410
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: 8
- eval_batch_size: 16
- seed: 42
- optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
- lr_scheduler_type: cosine
- num_epochs: 4
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Cer |
|---|---|---|---|---|
| 0.1068 | 1.0 | 1000 | 0.1668 | 0.0419 |
| 0.0613 | 2.0 | 2000 | 0.1441 | 0.0428 |
| 0.0418 | 3.0 | 3000 | 0.1364 | 0.0387 |
| 0.0285 | 4.0 | 4000 | 0.1377 | 0.0410 |
Framework versions
- Transformers 4.27.4
- Pytorch 2.0.1+cu118
- Datasets 2.12.0
- Tokenizers 0.13.3